cancel
Showing results for 
Show  only  | Search instead for 
Did you mean: 
%3CLINGO-SUB%20id%3D%22lingo-sub-446194%22%20slang%3D%22de-DE%22%3EControl%20Charting%20Kinetical%20and%20Other%20Time-Dependent%20Curves%20(2022-EU-30MP-1042)%3C%2FLINGO-SUB%3E%3CLINGO-BODY%20id%3D%22lingo-body-446194%22%20slang%3D%22de-DE%22%3E%3CP%3E%3CSTRONG%3EMarkus%20Schafheutle%2C%20Consultant%2C%20Business%20Consulting%3C%2FSTRONG%3E%3C%2FP%3E%0A%3CP%3E%26nbsp%3B%3C%2FP%3E%0A%3CP%3ESPC%20and%20control%20charting%20is%20a%20common%20procedure%20in%20industry.%20Normally%2C%20you%20are%20controlling%20and%20observing%20a%20single%20measure%20over%20time.%20These%20data%20are%20displayed%20with%20%C2%B13s%20limits%20around%20the%20mean%20on%20a%20chart.%3C%2FP%3E%0A%3CP%3E%26nbsp%3B%3C%2FP%3E%0A%3CP%3EHowever%2C%20when%20kinetical%20curves%20or%20other%20time-dependent%20behaviors%20are%20a%20matter%20of%20quality%20and%20consistency%20of%20a%20process%2C%20it%20is%20much%20more%20difficult%20to%20display%20in%20a%20SPC%20chart.%20These%20curves%20are%20often%20displayed%20within%20their%20maximum%20and%20minimum%20specification%20for%20each%20time%20point%2C%20which%20makes%20the%20off-spec%20curves%20visible.%20How%20can%20%E2%80%9Coff-spec%E2%80%9D%20curves%20be%20defined%20while%20staying%20within%20these%20max-min%20limits%3F%3C%2FP%3E%0A%3CP%3E%26nbsp%3B%3C%2FP%3E%0A%3CP%3EThe%20first%20method%20to%20try%20might%20be%20the%20principal%20component%20analysis%20(PCA).%20If%20the%20runtime%20stamps%20are%20always%20the%20intervals%2C%20then%20it's%20easy%20to%20achieve%20results.%20However%2C%20if%20they%20vary%2C%20interpolation%20of%20the%20Ys%20that%20will%20be%20on%20the%20same%20stamp%20is%20needed%2C%20which%20complicates%20data%20preparation.%3C%2FP%3E%0A%3CP%3E%26nbsp%3B%3C%2FP%3E%0A%3CP%3EWith%20the%20Functional%20Data%20Explorer%20in%20JMP%20Pro%2C%20it%20becomes%20very%20convenient%20to%20display%20the%20different%20curves%20as%20principal%20components%20in%20a%20T%3CSUP%3E%202%3C%2FSUP%3E%20-%20control%20chart.%3C%2FP%3E%0A%3CP%3E%26nbsp%3B%3C%2FP%3E%0A%3CP%3EThis%20presentation%20shows%20how%20we%20used%20this%20tool%20for%20quality%20control%20for%20a%20pressure%20leakage%20test%20and%20how%20we%20made%20it%20simple%20for%20the%20practitioner%20to%20use.%3C%2FP%3E%0A%3CP%3E%26nbsp%3B%3C%2FP%3E%0A%3CP%3E%3CVIDEO%20id%3D%22hyperplayer%22%20class%3D%22video-js%22%20controls%3D%22controls%22%20width%3D%22640px%22%20height%3D%22360px%22%20data-account%3D%225420904996001%22%20data-player%3D%22default%22%20data-embed%3D%22default%22%20data-video-id%3D%226294776157001%22%20data-playlist-id%3D%22%22%20data-application-id%3D%22%22%3E%3C%2FVIDEO%3E%3C%2FP%3E%0A%3CP%3E%26nbsp%3B%3C%2FP%3E%0A%3CDIV%20id%3D%22hypertranscript%22%20style%3D%22overflow-y%3A%20scroll%3B%20height%3A%20600px%3B%20width%3A%20640px%3B%20position%3A%20relative%3B%20padding%3A%201em%201.25em%3B%20border%3A%201px%20dashed%20%23999%3B%20display%3A%20inline-block%3B%22%3E%0A%3CARTICLE%3E%0A%3CSECTION%20class%3D%22active%22%3E%0A%3CP%20data-tc%3D%2200%3A00%3A01%22%3E%3CSPAN%20data-m%3D%221560%22%20data-d%3D%22280%22%3EOK.%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221920%22%20data-d%3D%22520%22%3EHello.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A00%3A02%22%3E%3CSPAN%20data-m%3D%222600%22%20data-d%3D%22319%22%3Ethanks%3C%2FSPAN%3E%3CSPAN%20data-m%3D%222960%22%20data-d%3D%22200%22%3E%20for%3C%2FSPAN%3E%3CSPAN%20data-m%3D%223160%22%20data-d%3D%22119%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%223320%22%20data-d%3D%22160%22%3E%20nice%3C%2FSPAN%3E%3CSPAN%20data-m%3D%223520%22%20data-d%3D%22960%22%3E%20introduction.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A00%3A05%22%3E%3CSPAN%20data-m%3D%225280%22%20data-d%3D%22479%22%3EToday%3C%2FSPAN%3E%3CSPAN%20data-m%3D%225840%22%20data-d%3D%22200%22%3E%20I%3C%2FSPAN%3E%3CSPAN%20data-m%3D%226080%22%20data-d%3D%22200%22%3E%20want%3C%2FSPAN%3E%3CSPAN%20data-m%3D%226320%22%20data-d%3D%22199%22%3E%20to%3C%2FSPAN%3E%3CSPAN%20data-m%3D%226520%22%20data-d%3D%22360%22%3E%20present%3C%2FSPAN%3E%3CSPAN%20data-m%3D%226960%22%20data-d%3D%22320%22%3E%20together%3C%2FSPAN%3E%3CSPAN%20data-m%3D%227320%22%20data-d%3D%22199%22%3E%20with%3C%2FSPAN%3E%3CSPAN%20data-m%3D%227560%22%20data-d%3D%22360%22%3E%20Stefan%3C%2FSPAN%3E%3CSPAN%20data-m%3D%227960%22%20data-d%3D%22399%22%3E%20Vincent%3C%2FSPAN%3E%3CSPAN%20data-m%3D%228440%22%20data-d%3D%22200%22%3E%20from%3C%2FSPAN%3E%3CSPAN%20data-m%3D%228680%22%20data-d%3D%22359%22%3E%20LRE%3C%2FSPAN%3E%3CSPAN%20data-m%3D%229120%22%20data-d%3D%22680%22%3E%20Medical%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A00%3A10%22%3E%3CSPAN%20data-m%3D%2210720%22%20data-d%3D%22359%22%3Ea%20work%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2211120%22%20data-d%3D%22280%22%3E%20we've%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2211440%22%20data-d%3D%22240%22%3E%20done%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2211720%22%20data-d%3D%22160%22%3E%20in%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2211880%22%20data-d%3D%2280%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2211960%22%20data-d%3D%22199%22%3E%20load%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2212200%22%20data-d%3D%22480%22%3E%20year%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2212800%22%20data-d%3D%22479%22%3E%20on%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2213400%22%20data-d%3D%22400%22%3E%20control%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2213880%22%20data-d%3D%22799%22%3E%20charting%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2215400%22%20data-d%3D%22679%22%3E%20kinetic%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A00%3A16%22%3E%3CSPAN%20data-m%3D%2216160%22%20data-d%3D%22199%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2216360%22%20data-d%3D%22400%22%3E%20other%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2216880%22%20data-d%3D%22280%22%3E%20time%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2217200%22%20data-d%3D%22879%22%3E%20dependent%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2218240%22%20data-d%3D%22920%22%3E%20measurements.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A00%3A23%22%3E%3CSPAN%20data-m%3D%2223080%22%20data-d%3D%22320%22%3ESo%20why%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2223440%22%20data-d%3D%22160%22%3E%20is%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2223640%22%20data-d%3D%22480%22%3E%20that%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2224240%22%20data-d%3D%22400%22%3E%20important%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2224720%22%20data-d%3D%22200%22%3E%20to%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2224920%22%20data-d%3D%22359%22%3E%20present%3F%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A00%3A25%22%3E%3CSPAN%20data-m%3D%2225400%22%20data-d%3D%22600%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2226160%22%20data-d%3D%22320%22%3E%20in%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2226480%22%20data-d%3D%22199%22%3E%20case%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2226720%22%20data-d%3D%22160%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2226920%22%20data-d%3D%22199%22%3E%20have%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2227200%22%20data-d%3D%22600%22%3E%20a%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2229200%22%20data-d%3D%22359%22%3E%20time%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2229600%22%20data-d%3D%22479%22%3E%20dependent%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2230120%22%20data-d%3D%22439%22%3E%20curves%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A00%3A30%22%3E%3CSPAN%20data-m%3D%2230640%22%20data-d%3D%22239%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2230920%22%20data-d%3D%22159%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2231120%22%20data-d%3D%22320%22%3E%20curves%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2231520%22%20data-d%3D%22599%22%3E%20themselves%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2232280%22%20data-d%3D%22320%22%3E%20are%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2232640%22%20data-d%3D%22359%22%3E%20important%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2233080%22%20data-d%3D%22160%22%3E%20for%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2233280%22%20data-d%3D%22159%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2233440%22%20data-d%3D%22320%22%3E%20quality%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2233840%22%20data-d%3D%22119%22%3E%20of%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2234000%22%20data-d%3D%22159%22%3E%20your%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2234160%22%20data-d%3D%22600%22%3E%20product%2C%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A00%3A35%22%3E%3CSPAN%20data-m%3D%2235600%22%20data-d%3D%22519%22%3Eso%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2236200%22%20data-d%3D%22279%22%3E%20it's%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2236480%22%20data-d%3D%22240%22%3E%20often%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2236800%22%20data-d%3D%22240%22%3E%20very%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2237080%22%20data-d%3D%22240%22%3E%20hard%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2237400%22%20data-d%3D%22280%22%3E%20to%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2237720%22%20data-d%3D%22480%22%3E%20define%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2238240%22%20data-d%3D%22199%22%3E%20any%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2238480%22%20data-d%3D%22200%22%3E%20child%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2238720%22%20data-d%3D%22240%22%3E%20of%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2239000%22%20data-d%3D%221039%22%3E%20specification.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A00%3A41%22%3E%3CSPAN%20data-m%3D%2241960%22%20data-d%3D%22359%22%3Eand%20in%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2242320%22%20data-d%3D%22240%22%3E%20our%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2242600%22%20data-d%3D%22240%22%3E%20case%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2242920%22%20data-d%3D%22600%22%3E%20here%2C%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A00%3A44%22%3E%3CSPAN%20data-m%3D%2244840%22%20data-d%3D%22399%22%3Ethesis%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2245320%22%20data-d%3D%22479%22%3E%20curves%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2245920%22%20data-d%3D%22439%22%3E%20were%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2246440%22%20data-d%3D%22640%22%3E%20evaluated%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2247160%22%20data-d%3D%22200%22%3E%20by%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2247400%22%20data-d%3D%22480%22%3E%20specialists.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A00%3A47%22%3E%3CSPAN%20data-m%3D%2247960%22%20data-d%3D%22199%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2248200%22%20data-d%3D%22159%22%3E%20every%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2248400%22%20data-d%3D%22480%22%3E%20measurements%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2248960%22%20data-d%3D%22199%22%3E%20What%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2249160%22%20data-d%3D%22240%22%3E%20sent%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2249440%22%20data-d%3D%22160%22%3E%20to%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2249600%22%20data-d%3D%2279%22%3E%20a%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2249680%22%20data-d%3D%22479%22%3E%20specialists%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A00%3A50%22%3E%3CSPAN%20data-m%3D%2250240%22%20data-d%3D%22159%22%3Elooked%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2250440%22%20data-d%3D%22120%22%3E%20at%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2250560%22%20data-d%3D%22159%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2250720%22%20data-d%3D%22240%22%3E%20curve%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2250960%22%20data-d%3D%22199%22%3E%20said%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2251200%22%20data-d%3D%22239%22%3E%20%22Yes%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2251480%22%20data-d%3D%22200%22%3E%20OK%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2251720%22%20data-d%3D%22200%22%3E%20or%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2251920%22%20data-d%3D%22159%22%3E%20not%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2252120%22%20data-d%3D%22560%22%3E%20OK.%22%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A00%3A54%22%3E%3CSPAN%20data-m%3D%2254560%22%20data-d%3D%22439%22%3EThis%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2255080%22%20data-d%3D%22200%22%3E%20is%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2255320%22%20data-d%3D%22280%22%3E%20pretty%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2255680%22%20data-d%3D%22200%22%3E%20time%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2255920%22%20data-d%3D%22719%22%3E%20consuming%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2256720%22%20data-d%3D%22600%22%3E%20other%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2257480%22%20data-d%3D%22640%22%3E%20compassion%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2258160%22%20data-d%3D%22120%22%3E%20other%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2258320%22%20data-d%3D%22119%22%3E%20so%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2258480%22%20data-d%3D%22560%22%3E%20on.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A00%3A59%22%3E%3CSPAN%20data-m%3D%2259480%22%20data-d%3D%22360%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2259840%22%20data-d%3D%22159%22%3E%20on%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2260040%22%20data-d%3D%22160%22%3E%20Top%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2260200%22%20data-d%3D%22159%22%3E%20of%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2260400%22%20data-d%3D%22160%22%3E%20that%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2260600%22%20data-d%3D%22359%22%3E%20it's%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2261000%22%20data-d%3D%22479%22%3E%20even%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2261600%22%20data-d%3D%22640%22%3E%20bath%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2262400%22%20data-d%3D%22320%22%3E%20when%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2262720%22%20data-d%3D%22160%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2262920%22%20data-d%3D%22239%22%3E%20person%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2263240%22%20data-d%3D%22199%22%3E%20is%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2263440%22%20data-d%3D%22440%22%3E%20sick%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2263960%22%20data-d%3D%22320%22%3E%20or%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2264319%22%20data-d%3D%22200%22%3E%20in%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2264519%22%20data-d%3D%22719%22%3E%20vacation.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A01%3A08%22%3E%3CSPAN%20data-m%3D%2268480%22%20data-d%3D%22399%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2268920%22%20data-d%3D%22519%22%3E%20it's%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2269440%22%20data-d%3D%22400%22%3E%20a%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2269960%22%20data-d%3D%22320%22%3E%20person-%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2270360%22%20data-d%3D%22519%22%3E%20dependent%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2270960%22%20data-d%3D%22240%22%3E%20thing.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A01%3A11%22%3E%3CSPAN%20data-m%3D%2271280%22%20data-d%3D%22319%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2271640%22%20data-d%3D%22359%22%3E%20often%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2272080%22%20data-d%3D%22400%22%3E%20it%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2272600%22%20data-d%3D%22359%22%3E%20happens%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2273040%22%20data-d%3D%22599%22%3E%20that%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2274000%22%20data-d%3D%22319%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2274360%22%20data-d%3D%22159%22%3E%20person%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A01%3A14%22%3E%3CSPAN%20data-m%3D%2274560%22%20data-d%3D%22159%22%3Ehas%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2274760%22%20data-d%3D%22280%22%3E%20different%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2275080%22%20data-d%3D%22439%22%3E%20moods%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2275600%22%20data-d%3D%22240%22%3E%20or%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2275880%22%20data-d%3D%22600%22%3E%20different%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2277240%22%20data-d%3D%22760%22%3E%20obligation%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A01%3A18%22%3E%3CSPAN%20data-m%3D%2278080%22%20data-d%3D%22200%22%3Eor%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2278320%22%20data-d%3D%22280%22%3E%20different%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2278680%22%20data-d%3D%22639%22%3E%20priorities%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2279400%22%20data-d%3D%22159%22%3E%20other%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2279600%22%20data-d%3D%22120%22%3E%20so%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2279720%22%20data-d%3D%22359%22%3E%20on.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A01%3A20%22%3E%3CSPAN%20data-m%3D%2280160%22%20data-d%3D%22480%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2280720%22%20data-d%3D%22280%22%3E%20let's%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2281000%22%20data-d%3D%22560%22%3E%20say%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2281720%22%20data-d%3D%22280%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2282040%22%20data-d%3D%22519%22%3E%20adjustment%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2282600%22%20data-d%3D%22160%22%3E%20of%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2282760%22%20data-d%3D%22119%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2282880%22%20data-d%3D%22240%22%3E%20curve%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2283160%22%20data-d%3D%22200%22%3E%20May%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2283400%22%20data-d%3D%22359%22%3E%20vary%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2283800%22%20data-d%3D%22159%22%3E%20a%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2283960%22%20data-d%3D%22160%22%3E%20little%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2284160%22%20data-d%3D%22200%22%3E%20bit.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A01%3A24%22%3E%3CSPAN%20data-m%3D%2284360%22%20data-d%3D%22159%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2284560%22%20data-d%3D%22200%22%3E%20it's%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2284800%22%20data-d%3D%22159%22%3E%20child%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2284960%22%20data-d%3D%22600%22%3E%20of%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2286720%22%20data-d%3D%221040%22%3E%20reproducibility%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2287880%22%20data-d%3D%22680%22%3E%20problem%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A01%3A30%22%3E%3CSPAN%20data-m%3D%2290200%22%20data-d%3D%22319%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2290560%22%20data-d%3D%22159%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2290720%22%20data-d%3D%22239%22%3E%20wanted%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2291000%22%20data-d%3D%22200%22%3E%20to%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2291200%22%20data-d%3D%22200%22%3E%20Stop%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2291440%22%20data-d%3D%22200%22%3E%20that.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A01%3A31%22%3E%3CSPAN%20data-m%3D%2291680%22%20data-d%3D%22199%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2291920%22%20data-d%3D%22159%22%3E%20that%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2292120%22%20data-d%3D%22159%22%3E%20What%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2292280%22%20data-d%3D%22159%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2292480%22%20data-d%3D%22159%22%3E%20reason%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2292680%22%20data-d%3D%22159%22%3E%20why%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2292840%22%20data-d%3D%22159%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2293000%22%20data-d%3D%22359%22%3E%20started%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2293440%22%20data-d%3D%22200%22%3E%20with%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2293680%22%20data-d%3D%22559%22%3E%20it.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A01%3A35%22%3E%3CSPAN%20data-m%3D%2295040%22%20data-d%3D%22359%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2295440%22%20data-d%3D%22200%22%3E%20for%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2295640%22%20data-d%3D%22359%22%3E%20example%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2296080%22%20data-d%3D%22280%22%3E%20here%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2296400%22%20data-d%3D%22199%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2296600%22%20data-d%3D%22200%22%3E%20lake%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2296840%22%20data-d%3D%22119%22%3E%20a%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2297000%22%20data-d%3D%22760%22%3E%20selection%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2297920%22%20data-d%3D%22319%22%3E%20from%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2298280%22%20data-d%3D%22400%22%3E%20hundreds%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2298680%22%20data-d%3D%22319%22%3E%20of%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2299080%22%20data-d%3D%22200%22%3E%20thesis%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2299320%22%20data-d%3D%22280%22%3E%20curves%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2299640%22%20data-d%3D%22159%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%2299800%22%20data-d%3D%22439%22%3E%20.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A01%3A40%22%3E%3CSPAN%20data-m%3D%22100280%22%20data-d%3D%22480%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22100880%22%20data-d%3D%22280%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22101160%22%20data-d%3D%22200%22%3E%20lake%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22101400%22%20data-d%3D%22159%22%3E%20here%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22101600%22%20data-d%3D%22560%22%3E%20it's%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22102560%22%20data-d%3D%22319%22%3E%20a%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22102920%22%20data-d%3D%22319%22%3E%20pressure%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22103240%22%20data-d%3D%22800%22%3E%20holding%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22104360%22%20data-d%3D%22560%22%3E%20measurements.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A01%3A44%22%3E%3CSPAN%20data-m%3D%22104920%22%20data-d%3D%22239%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22105240%22%20data-d%3D%22160%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22105440%22%20data-d%3D%22159%22%3E%20have%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22105640%22%20data-d%3D%22599%22%3E%20here%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22106640%22%20data-d%3D%22640%22%3E%20pressure%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22107360%22%20data-d%3D%22400%22%3E%20versus%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22107840%22%20data-d%3D%22640%22%3E%20time%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22108640%22%20data-d%3D%22319%22%3E%20in%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22109160%22%20data-d%3D%22560%22%3E%20seconds.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A01%3A50%22%3E%3CSPAN%20data-m%3D%22110040%22%20data-d%3D%22359%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22110400%22%20data-d%3D%22159%22%3E%20here%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22110600%22%20data-d%3D%22160%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22110760%22%20data-d%3D%22199%22%3E%20lake%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22111000%22%20data-d%3D%2279%22%3E%20a%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22111080%22%20data-d%3D%22200%22%3E%20bunch%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22111280%22%20data-d%3D%22200%22%3E%20of%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22111480%22%20data-d%3D%22399%22%3E%20curves.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A01%3A51%22%3E%3CSPAN%20data-m%3D%22111960%22%20data-d%3D%22640%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22112800%22%20data-d%3D%22320%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22113160%22%20data-d%3D%22320%22%3E%20green%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22113560%22%20data-d%3D%22319%22%3E%20ones%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22113960%22%20data-d%3D%22160%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22114160%22%20data-d%3D%22200%22%3E%20lake%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22114400%22%20data-d%3D%22159%22%3E%20they%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22114560%22%20data-d%3D%22159%22%3E%20are%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22114720%22%20data-d%3D%22320%22%3E%20called%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22115120%22%20data-d%3D%22679%22%3E%20true.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A01%3A56%22%3E%3CSPAN%20data-m%3D%22116000%22%20data-d%3D%22400%22%3EThis%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22116440%22%20data-d%3D%22600%22%3E%20means%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22117480%22%20data-d%3D%22479%22%3E%20true%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22118040%22%20data-d%3D%22319%22%3E%20is%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22118400%22%20data-d%3D%22519%22%3E%20accepted%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22118960%22%20data-d%3D%22160%22%3E%20they%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22119120%22%20data-d%3D%22159%22%3E%20are%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22119280%22%20data-d%3D%22679%22%3E%20good.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A02%3A00%22%3E%3CSPAN%20data-m%3D%22120160%22%20data-d%3D%22359%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22120600%22%20data-d%3D%22560%22%3E%20false%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22121240%22%20data-d%3D%22320%22%3E%20means%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22121640%22%20data-d%3D%22560%22%3E%20rejected%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22122200%22%20data-d%3D%22159%22%3E%20they%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22122360%22%20data-d%3D%22120%22%3E%20are%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22122480%22%20data-d%3D%22159%22%3E%20not%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22122680%22%20data-d%3D%22199%22%3E%20good.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A02%3A02%22%3E%3CSPAN%20data-m%3D%22122920%22%20data-d%3D%22239%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22123240%22%20data-d%3D%22120%22%3E%20there%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22123400%22%20data-d%3D%22119%22%3E%20is%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22123560%22%20data-d%3D%22480%22%3E%20a%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22124160%22%20data-d%3D%22760%22%3E%20bath%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22125120%22%20data-d%3D%22759%22%3E%20product.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A02%3A06%22%3E%3CSPAN%20data-m%3D%22126600%22%20data-d%3D%22359%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22127000%22%20data-d%3D%22159%22%3E%20what%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22127160%22%20data-d%3D%22159%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22127320%22%20data-d%3D%22160%22%3E%20lake%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22127520%22%20data-d%3D%22200%22%3E%20here%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22127800%22%20data-d%3D%22159%22%3E%20that%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22128000%22%20data-d%3D%22159%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22128199%22%20data-d%3D%22280%22%3E%20green%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22128560%22%20data-d%3D%22639%22%3E%20ones%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22129400%22%20data-d%3D%22519%22%3E%20are%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22130000%22%20data-d%3D%22639%22%3E%20%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22130720%22%20data-d%3D%22240%22%3E%20tied%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22130960%22%20data-d%3D%22439%22%3E%20together.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A02%3A11%22%3E%3CSPAN%20data-m%3D%22131520%22%20data-d%3D%22479%22%3EHere%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22132120%22%20data-d%3D%22240%22%3E%20in%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22132360%22%20data-d%3D%22359%22%3E%20this%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22132840%22%20data-d%3D%22560%22%3E%20highlighting%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22133440%22%20data-d%3D%22479%22%3E%20Screenshot%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22133960%22%20data-d%3D%22159%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22134120%22%20data-d%3D%22199%22%3E%20lake%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22134400%22%20data-d%3D%22439%22%3E%20better.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A02%3A14%22%3E%3CSPAN%20data-m%3D%22134960%22%20data-d%3D%22280%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22135280%22%20data-d%3D%22240%22%3E%20they're%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22135520%22%20data-d%3D%22239%22%3E%20pretty%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22135800%22%20data-d%3D%22239%22%3E%20close%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22136080%22%20data-d%3D%22319%22%3E%20together.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A02%3A16%22%3E%3CSPAN%20data-m%3D%22136520%22%20data-d%3D%22199%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22136760%22%20data-d%3D%22200%22%3E%20then%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22137040%22%20data-d%3D%22159%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22137240%22%20data-d%3D%22519%22%3E%20have%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22137880%22%20data-d%3D%22280%22%3E%20a%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22138200%22%20data-d%3D%22439%22%3E%20selection%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22138640%22%20data-d%3D%22160%22%3E%20of%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22138840%22%20data-d%3D%22199%22%3E%20red%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22139080%22%20data-d%3D%22599%22%3E%20ones%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A02%3A19%22%3E%3CSPAN%20data-m%3D%22139840%22%20data-d%3D%22359%22%3Ewhich%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22140240%22%20data-d%3D%22639%22%3E%20are%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22141240%22%20data-d%3D%22560%22%3E%20either%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22141880%22%20data-d%3D%22439%22%3E%20apart%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22142360%22%20data-d%3D%22199%22%3E%20from%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22142600%22%20data-d%3D%22159%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22142760%22%20data-d%3D%22159%22%3E%20green%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22142960%22%20data-d%3D%22280%22%3E%20ones%2C%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A02%3A23%22%3E%3CSPAN%20data-m%3D%22143320%22%20data-d%3D%22200%22%3Ebut%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22143520%22%20data-d%3D%22119%22%3E%20there%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22143680%22%20data-d%3D%2279%22%3E%20are%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22143800%22%20data-d%3D%22199%22%3E%20so%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22144040%22%20data-d%3D%22240%22%3E%20two%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22144360%22%20data-d%3D%22239%22%3E%20ones%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22144640%22%20data-d%3D%22160%22%3E%20which%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22144840%22%20data-d%3D%22240%22%3E%20are%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22145120%22%20data-d%3D%22120%22%3E%20more%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22145280%22%20data-d%3D%2280%22%3E%20or%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22145360%22%20data-d%3D%22159%22%3E%20less%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22145560%22%20data-d%3D%22120%22%3E%20in%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22145680%22%20data-d%3D%22120%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22145800%22%20data-d%3D%22239%22%3E%20same%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22146080%22%20data-d%3D%22719%22%3E%20regime.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A02%3A28%22%3E%3CSPAN%20data-m%3D%22148400%22%20data-d%3D%22560%22%3Ebut%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22149080%22%20data-d%3D%22239%22%3E%20like%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22149360%22%20data-d%3D%22159%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22149520%22%20data-d%3D%22199%22%3E%20lake%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22149760%22%20data-d%3D%22159%22%3E%20they%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22149960%22%20data-d%3D%22199%22%3E%20have%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22150240%22%20data-d%3D%22359%22%3E%20completely%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22150720%22%20data-d%3D%22280%22%3E%20different%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22151080%22%20data-d%3D%22399%22%3E%20shapes.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A02%3A31%22%3E%3CSPAN%20data-m%3D%22151560%22%20data-d%3D%22240%22%3EThere%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22151800%22%20data-d%3D%22159%22%3E%20are%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22151960%22%20data-d%3D%22199%22%3E%20some%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22152200%22%20data-d%3D%22480%22%3E%20edge%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22152800%22%20data-d%3D%22679%22%3E%20other%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22153800%22%20data-d%3D%22839%22%3E%20other%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22154800%22%20data-d%3D%22519%22%3E%20s-shaped%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22155320%22%20data-d%3D%22240%22%3E%20curves%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22155600%22%20data-d%3D%2280%22%3E%20other%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22155720%22%20data-d%3D%22159%22%3E%20so%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22155880%22%20data-d%3D%2280%22%3E%20on%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22155960%22%20data-d%3D%22120%22%3E%20other%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22156200%22%20data-d%3D%22600%22%3E%20to%20forth.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A02%3A36%22%3E%3CSPAN%20data-m%3D%22156960%22%20data-d%3D%22639%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22157760%22%20data-d%3D%22280%22%3E%20if%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22158040%22%20data-d%3D%22120%22%3E%20it%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22158200%22%20data-d%3D%22160%22%3E%20would%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22158400%22%20data-d%3D%22280%22%3E%20make%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22158720%22%20data-d%3D%22280%22%3E%20just%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22159040%22%20data-d%3D%22200%22%3E%20a%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22159240%22%20data-d%3D%22399%22%3E%20simple%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22159760%22%20data-d%3D%22240%22%3E%20t%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22160040%22%20data-d%3D%22360%22%3E%20hree%20sigma%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22160440%22%20data-d%3D%22240%22%3E%20limit%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22160720%22%20data-d%3D%22240%22%3E%20%C2%B1%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A02%3A41%22%3E%3CSPAN%20data-m%3D%22161400%22%20data-d%3D%22239%22%3Earound%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22161680%22%20data-d%3D%22120%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22161840%22%20data-d%3D%22199%22%3E%20good%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22162120%22%20data-d%3D%22159%22%3E%20ones%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22162320%22%20data-d%3D%22159%22%3E%20for%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22162480%22%20data-d%3D%22320%22%3E%20example%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22162920%22%20data-d%3D%22240%22%3E%20like%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22163200%22%20data-d%3D%22120%22%3E%20in%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22163360%22%20data-d%3D%22119%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22163520%22%20data-d%3D%22239%22%3E%20upper%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22163800%22%20data-d%3D%22239%22%3E%20case%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22164080%22%20data-d%3D%22599%22%3E%20here%2C%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A02%3A45%22%3E%3CSPAN%20data-m%3D%22165440%22%20data-d%3D%22319%22%3Ewe%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22165800%22%20data-d%3D%22199%22%3E%20would%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22166080%22%20data-d%3D%22399%22%3E%20include%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22166560%22%20data-d%3D%22560%22%3E%20so%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22167280%22%20data-d%3D%22280%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22167600%22%20data-d%3D%22560%22%3E%20not%20good%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22168200%22%20data-d%3D%22240%22%3E%20red%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22168480%22%20data-d%3D%22240%22%3E%20ones%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22168760%22%20data-d%3D%22280%22%3E%20here%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22169120%22%20data-d%3D%22199%22%3E%20from%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22169320%22%20data-d%3D%22120%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22169480%22%20data-d%3D%22560%22%3E%20lower%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22170400%22%20data-d%3D%22879%22%3E%20picture.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A02%3A51%22%3E%3CSPAN%20data-m%3D%22171440%22%20data-d%3D%22479%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22172000%22%20data-d%3D%22159%22%3E%20a%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22172160%22%20data-d%3D%22560%22%3E%20simple%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22173320%22%20data-d%3D%22319%22%3E%20%C2%B1%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22173680%22%20data-d%3D%22199%22%3E%20three%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22173880%22%20data-d%3D%22400%22%3E%20Sigma%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22174280%22%20data-d%3D%22319%22%3E%20limit%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A02%3A54%22%3E%3CSPAN%20data-m%3D%22174640%22%20data-d%3D%22560%22%3Eapproach%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22175320%22%20data-d%3D%22400%22%3E%20around%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22175800%22%20data-d%3D%22639%22%3E%20this%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22177120%22%20data-d%3D%22519%22%3E%20series%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22177640%22%20data-d%3D%22200%22%3E%20of%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22177880%22%20data-d%3D%22680%22%3E%20curves%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22178680%22%20data-d%3D%22319%22%3E%20would%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22179040%22%20data-d%3D%22120%22%3E%20not%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22179200%22%20data-d%3D%22120%22%3E%20be%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22179360%22%20data-d%3D%22319%22%3E%20target%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22179680%22%20data-d%3D%22280%22%3E%20leading.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A03%3A00%22%3E%3CSPAN%20data-m%3D%22180000%22%20data-d%3D%22120%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22180160%22%20data-d%3D%22120%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22180320%22%20data-d%3D%22159%22%3E%20need%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22180520%22%20data-d%3D%22319%22%3E%20something%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22180920%22%20data-d%3D%22240%22%3E%20which%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22181200%22%20data-d%3D%22400%22%3E%20includes%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22181600%22%20data-d%3D%22200%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22181800%22%20data-d%3D%22359%22%3E%20position%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A03%3A02%22%3E%3CSPAN%20data-m%3D%22182240%22%20data-d%3D%22159%22%3Ewhich%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22182440%22%20data-d%3D%22120%22%3E%20is%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22182600%22%20data-d%3D%22159%22%3E%20done%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22182760%22%20data-d%3D%22159%22%3E%20here%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22182960%22%20data-d%3D%22120%22%3E%20with%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22183080%22%20data-d%3D%22159%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22183240%22%20data-d%3D%22319%22%3E%20basic%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22183600%22%20data-d%3D%22760%22%3E%20monument.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A03%3A04%22%3E%3CSPAN%20data-m%3D%22184480%22%20data-d%3D%22360%22%3Ebut%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22184920%22%20data-d%3D%22280%22%3E%20so%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22185240%22%20data-d%3D%22199%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22185480%22%20data-d%3D%22159%22%3E%20want%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22185640%22%20data-d%3D%22120%22%3E%20to%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22185800%22%20data-d%3D%22159%22%3E%20have%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22186000%22%20data-d%3D%22280%22%3E%20something%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22186320%22%20data-d%3D%22400%22%3E%20which%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22186840%22%20data-d%3D%22280%22%3E%20takes%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22187200%22%20data-d%3D%22320%22%3E%20care%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22187600%22%20data-d%3D%22280%22%3E%20about%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22187960%22%20data-d%3D%22239%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22188280%22%20data-d%3D%22400%22%3E%20shape%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A03%3A08%22%3E%3CSPAN%20data-m%3D%22188680%22%20data-d%3D%22599%22%3Eof%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22190400%22%20data-d%3D%22359%22%3E%20thesis%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22190800%22%20data-d%3D%22359%22%3E%20functions%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22191160%22%20data-d%3D%22159%22%3E%20of%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22191360%22%20data-d%3D%22159%22%3E%20thesis%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22191520%22%20data-d%3D%22719%22%3E%20groups%2C%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A03%3A15%22%3E%3CSPAN%20data-m%3D%22195640%22%20data-d%3D%22320%22%3EHow%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22195960%22%20data-d%3D%22159%22%3E%20to%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22196160%22%20data-d%3D%22520%22%3E%20analyze%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22196720%22%20data-d%3D%22199%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22196960%22%20data-d%3D%22319%22%3E%20shapes%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22197320%22%20data-d%3D%22159%22%3E%20other%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22197520%22%20data-d%3D%22280%22%3E%20positions%3F%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A03%3A17%22%3E%3CSPAN%20data-m%3D%22197880%22%20data-d%3D%22240%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22198160%22%20data-d%3D%22120%22%3E%20there%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22198320%22%20data-d%3D%22159%22%3E%20are%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22198520%22%20data-d%3D%22599%22%3E%20actually%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22199600%22%20data-d%3D%22400%22%3E%20two%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22200080%22%20data-d%3D%22919%22%3E%20approaches.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A03%3A21%22%3E%3CSPAN%20data-m%3D%22201200%22%20data-d%3D%22320%22%3EOne%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22201520%22%20data-d%3D%22239%22%3E%20is%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22201800%22%20data-d%3D%22199%22%3E%20pretty%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22202040%22%20data-d%3D%22240%22%3E%20long%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22202360%22%20data-d%3D%22279%22%3E%20known%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22202640%22%20data-d%3D%22320%22%3E%20already.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A03%3A23%22%3E%3CSPAN%20data-m%3D%22203040%22%20data-d%3D%22200%22%3EThis%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22203280%22%20data-d%3D%22159%22%3E%20is%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22203480%22%20data-d%3D%22400%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22203960%22%20data-d%3D%22479%22%3E%20principal%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22204520%22%20data-d%3D%22399%22%3E%20component%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22204920%22%20data-d%3D%22480%22%3E%20analysis.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A03%3A25%22%3E%3CSPAN%20data-m%3D%22205480%22%20data-d%3D%22159%22%3EThat's%20it%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22205680%22%20data-d%3D%22120%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22205800%22%20data-d%3D%22239%22%3E%20first%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22206120%22%20data-d%3D%22599%22%3E%20one.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A03%3A27%22%3E%3CSPAN%20data-m%3D%22207120%22%20data-d%3D%22759%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22208320%22%20data-d%3D%22319%22%3E%20in%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22208680%22%20data-d%3D%22120%22%3E%20more%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22208800%22%20data-d%3D%22319%22%3E%20recent%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22209120%22%20data-d%3D%22319%22%3E%20times%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22209520%22%20data-d%3D%22280%22%3E%20JMP%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22209840%22%20data-d%3D%22199%22%3E%20came%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22210080%22%20data-d%3D%22199%22%3E%20up%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22210280%22%20data-d%3D%22159%22%3E%20with%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A03%3A30%22%3E%3CSPAN%20data-m%3D%22210480%22%20data-d%3D%22120%22%3Ea%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22210600%22%20data-d%3D%22439%22%3E%20functional%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22211040%22%20data-d%3D%22280%22%3E%20data%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22211400%22%20data-d%3D%22879%22%3E%20explorer%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22212440%22%20data-d%3D%22719%22%3E%20which%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22213480%22%20data-d%3D%22439%22%3E%20so%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22213960%22%20data-d%3D%22239%22%3E%20gives%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22214240%22%20data-d%3D%22120%22%3E%20us%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22214400%22%20data-d%3D%22120%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22214560%22%20data-d%3D%22520%22%3E%20possibly%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22215200%22%20data-d%3D%22360%22%3E%20to%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22215640%22%20data-d%3D%22480%22%3E%20do%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22216240%22%20data-d%3D%22280%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22216520%22%20data-d%3D%22399%22%3E%20same.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A03%3A37%22%3E%3CSPAN%20data-m%3D%22217040%22%20data-d%3D%22400%22%3Ebut%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22217520%22%20data-d%3D%22199%22%3E%20like%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22217720%22%20data-d%3D%22120%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22217880%22%20data-d%3D%22120%22%3E%20have%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22218040%22%20data-d%3D%22200%22%3E%20lakes%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22218320%22%20data-d%3D%22200%22%3E%20it%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22218560%22%20data-d%3D%22199%22%3E%20What%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22218800%22%20data-d%3D%22159%22%3E%20not%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22219000%22%20data-d%3D%22159%22%3E%20really%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22219200%22%20data-d%3D%22200%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22219400%22%20data-d%3D%22199%22%3E%20seed%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22219640%22%20data-d%3D%22160%22%3E%20so%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22219840%22%20data-d%3D%22120%22%3E%20it%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22219960%22%20data-d%3D%22159%22%3E%20What%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22220160%22%20data-d%3D%22599%22%3E%20different.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A03%3A41%22%3E%3CSPAN%20data-m%3D%22221760%22%20data-d%3D%22800%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22222720%22%20data-d%3D%22400%22%3E%20let's%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22223120%22%20data-d%3D%22280%22%3E%20begin%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22223440%22%20data-d%3D%22199%22%3E%20with%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22223680%22%20data-d%3D%22159%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22223840%22%20data-d%3D%22240%22%3E%20old%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22224120%22%20data-d%3D%22719%22%3E%20approach%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22225040%22%20data-d%3D%22520%22%3E%20principal%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22225640%22%20data-d%3D%22400%22%3E%20component%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22226120%22%20data-d%3D%22840%22%3E%20analysis%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A03%3A48%22%3E%3CSPAN%20data-m%3D%22228280%22%20data-d%3D%22359%22%3Efor%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22228640%22%20data-d%3D%22280%22%3E%20doing%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22228960%22%20data-d%3D%22319%22%3E%20so%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22229320%22%20data-d%3D%22240%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22229600%22%20data-d%3D%22280%22%3E%20need%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22229920%22%20data-d%3D%22280%22%3E%20to%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22230240%22%20data-d%3D%22679%22%3E%20transform%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22231040%22%20data-d%3D%22240%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22231320%22%20data-d%3D%22240%22%3E%20long%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22231640%22%20data-d%3D%22240%22%3E%20table%20I%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22232120%22%20data-d%3D%22159%22%3E%20just%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22232320%22%20data-d%3D%22159%22%3E%20show%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22232480%22%20data-d%3D%22159%22%3E%20you%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A03%3A52%22%3E%3CSPAN%20data-m%3D%22232680%22%20data-d%3D%22159%22%3Ein%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22232840%22%20data-d%3D%22120%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22233000%22%20data-d%3D%22199%22%3E%20next%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22233240%22%20data-d%3D%22639%22%3E%20picture%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22234000%22%20data-d%3D%22280%22%3E%20here%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22234280%22%20data-d%3D%22120%22%3E%20on%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22234440%22%20data-d%3D%2280%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22234560%22%20data-d%3D%22159%22%3E%20left%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22234760%22%20data-d%3D%22600%22%3E%20sides%2C%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A03%3A55%22%3E%3CSPAN%20data-m%3D%22235680%22%20data-d%3D%22319%22%3Ea%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22236040%22%20data-d%3D%22200%22%3E%20long%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22236320%22%20data-d%3D%22280%22%3E%20table%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22236680%22%20data-d%3D%22159%22%3E%20where%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22236880%22%20data-d%3D%22159%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22237040%22%20data-d%3D%22360%22%3E%20have%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22237520%22%20data-d%3D%22479%22%3E%20columns%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A03%3A58%22%3E%3CSPAN%20data-m%3D%22238000%22%20data-d%3D%22159%22%3Ewith%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22238200%22%20data-d%3D%22120%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22238320%22%20data-d%3D%22159%22%3E%20part%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22238520%22%20data-d%3D%22199%22%3E%20number%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22238760%22%20data-d%3D%22200%22%3E%20for%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22239000%22%20data-d%3D%22599%22%3E%20example%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22239920%22%20data-d%3D%22440%22%3E%20with%20the%20test%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22240440%22%20data-d%3D%22599%22%3E%20dates%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A04%3A01%22%3E%3CSPAN%20data-m%3D%22241680%22%20data-d%3D%22400%22%3Ebut%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22242120%22%20data-d%3D%22280%22%3E%20so%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22242480%22%20data-d%3D%22159%22%3E%20other%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22242640%22%20data-d%3D%22160%22%3E%20this%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22242800%22%20data-d%3D%22119%22%3E%20is%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22242960%22%20data-d%3D%2279%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22243080%22%20data-d%3D%22280%22%3E%20important%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22243440%22%20data-d%3D%22479%22%3E%20part%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A04%3A04%22%3E%3CSPAN%20data-m%3D%22244040%22%20data-d%3D%22240%22%3Eof%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22244320%22%20data-d%3D%22159%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22244520%22%20data-d%3D%22840%22%3E%20runtime%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22245760%22%20data-d%3D%22280%22%3E%20other%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22246080%22%20data-d%3D%22119%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22246240%22%20data-d%3D%22239%22%3E%20pressure%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22246520%22%20data-d%3D%22159%22%3E%20other%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22246720%22%20data-d%3D%22159%22%3E%20this%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22246920%22%20data-d%3D%22200%22%3E%20for%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22247120%22%20data-d%3D%22680%22%3E%20each%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22248000%22%20data-d%3D%22479%22%3E%20value.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A04%3A08%22%3E%3CSPAN%20data-m%3D%22248560%22%20data-d%3D%22240%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22248800%22%20data-d%3D%22119%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22248960%22%20data-d%3D%22159%22%3E%20lake%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22249160%22%20data-d%3D%22120%22%3E%20here%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22249320%22%20data-d%3D%22120%22%3E%20this%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22249480%22%20data-d%3D%22120%22%3E%20is%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22249600%22%20data-d%3D%22159%22%3E%20in%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22249760%22%20data-d%3D%22360%22%3E%20seconds.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A04%3A10%22%3E%3CSPAN%20data-m%3D%22250120%22%20data-d%3D%22199%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22250360%22%20data-d%3D%22159%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22250560%22%20data-d%3D%22319%22%3E%20%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22250920%22%20data-d%3D%22280%22%3E%20every%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22251280%22%20data-d%3D%22240%22%3E%20some%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22251560%22%20data-d%3D%221120%22%3E%20milliseconds.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A04%3A12%22%3E%3CSPAN%20data-m%3D%22252840%22%20data-d%3D%22680%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22253680%22%20data-d%3D%22280%22%3E%20like%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22253960%22%20data-d%3D%22120%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22254120%22%20data-d%3D%22199%22%3E%20lake%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22254360%22%20data-d%3D%22319%22%3E%20so%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22254760%22%20data-d%3D%22159%22%3E%20it%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22254960%22%20data-d%3D%22199%22%3E%20is%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22255200%22%20data-d%3D%22240%22%3E%20pretty%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22255520%22%20data-d%3D%22359%22%3E%20hard%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22256000%22%20data-d%3D%22360%22%3E%20that%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22256440%22%20data-d%3D%22199%22%3E%20for%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22256680%22%20data-d%3D%22159%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22256839%22%20data-d%3D%22240%22%3E%20next%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22257120%22%20data-d%3D%22560%22%3E%20part%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A04%3A17%22%3E%3CSPAN%20data-m%3D%22257839%22%20data-d%3D%22439%22%3Eit's%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22258320%22%20data-d%3D%22639%22%3E%20exactly%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22259160%22%20data-d%3D%22319%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22259519%22%20data-d%3D%22400%22%3E%20same%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22260000%22%20data-d%3D%22399%22%3E%20series%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22260440%22%20data-d%3D%22199%22%3E%20of%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22260680%22%20data-d%3D%22279%22%3E%20numbers%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22261000%22%20data-d%3D%22639%22%3E%20here%2C%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A04%3A22%22%3E%3CSPAN%20data-m%3D%22262360%22%20data-d%3D%22479%22%3Eexactly%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22262920%22%20data-d%3D%22199%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22263120%22%20data-d%3D%22240%22%3E%20same%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22263440%22%20data-d%3D%22240%22%3E%20time%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22263720%22%20data-d%3D%22159%22%3E%20when%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22263920%22%20data-d%3D%22120%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22264080%22%20data-d%3D%2280%22%3E%20have%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22264200%22%20data-d%3D%22120%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22264320%22%20data-d%3D%22199%22%3E%20next%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22264560%22%20data-d%3D%22319%22%3E%20pressure%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22264920%22%20data-d%3D%22599%22%3E%20period.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A04%3A25%22%3E%3CSPAN%20data-m%3D%22265840%22%20data-d%3D%22360%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22266200%22%20data-d%3D%22160%22%3E%20this%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22266400%22%20data-d%3D%22400%22%3E%20is%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22266880%22%20data-d%3D%22399%22%3E%20actually%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22267360%22%20data-d%3D%22599%22%3E%20needed%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22268120%22%20data-d%3D%22279%22%3E%20when%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22268440%22%20data-d%3D%22160%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22268640%22%20data-d%3D%22240%22%3E%20want%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A04%3A28%22%3E%3CSPAN%20data-m%3D%22268960%22%20data-d%3D%22200%22%3Eto%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22269200%22%20data-d%3D%22560%22%3E%20make%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22270280%22%20data-d%3D%22600%22%3E%20a%20principal%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22270920%22%20data-d%3D%22839%22%3E%20component%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22272440%22%20data-d%3D%22680%22%3E%20analysis%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22273200%22%20data-d%3D%22480%22%3E%20because%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22273800%22%20data-d%3D%22240%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22274080%22%20data-d%3D%22160%22%3E%20have%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22274240%22%20data-d%3D%22199%22%3E%20to%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22274480%22%20data-d%3D%22839%22%3E%20transform%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A04%3A35%22%3E%3CSPAN%20data-m%3D%22275640%22%20data-d%3D%22720%22%3Ethis%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22276520%22%20data-d%3D%22400%22%3E%20long%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22276960%22%20data-d%3D%22680%22%3E%20table%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22278040%22%20data-d%3D%22399%22%3E%20into%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22278480%22%20data-d%3D%22199%22%3E%20a%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22278720%22%20data-d%3D%22359%22%3E%20wide%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22279160%22%20data-d%3D%22639%22%3E%20table%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22280000%22%20data-d%3D%22319%22%3E%20where%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22280360%22%20data-d%3D%22120%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22280520%22%20data-d%3D%22319%22%3E%20have%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22280880%22%20data-d%3D%22480%22%3E%20one%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22281480%22%20data-d%3D%22479%22%3E%20row%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22282040%22%20data-d%3D%22239%22%3E%20by%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22282320%22%20data-d%3D%22600%22%3E%20part%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A04%3A46%22%3E%3CSPAN%20data-m%3D%22286480%22%20data-d%3D%22359%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22286840%22%20data-d%3D%22200%22%3E%20then%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22287080%22%20data-d%3D%22240%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22287360%22%20data-d%3D%22360%22%3E%20have%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22287800%22%20data-d%3D%22399%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22288280%22%20data-d%3D%22360%22%3E%20white%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22288720%22%20data-d%3D%22439%22%3E%20table%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A04%3A49%22%3E%3CSPAN%20data-m%3D%22289480%22%20data-d%3D%22159%22%3Ewhere%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22289680%22%20data-d%3D%22439%22%3E%20have%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22290280%22%20data-d%3D%22280%22%3E%20for%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22290600%22%20data-d%3D%22239%22%3E%20each%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22290880%22%20data-d%3D%22240%22%3E%20time%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22291160%22%20data-d%3D%22719%22%3E%20slot%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22292440%22%20data-d%3D%22360%22%3E%20other%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22292840%22%20data-d%3D%22240%22%3E%20then%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22293120%22%20data-d%3D%22199%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22293320%22%20data-d%3D%22280%22%3E%20data%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22293640%22%20data-d%3D%22639%22%3E%20points.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A04%3A58%22%3E%3CSPAN%20data-m%3D%22298720%22%20data-d%3D%22319%22%3ESo%20what%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22299080%22%20data-d%3D%22160%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22299240%22%20data-d%3D%22159%22%3E%20need%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22299440%22%20data-d%3D%22120%22%3E%20to%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22299560%22%20data-d%3D%22160%22%3E%20do%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22299760%22%20data-d%3D%22280%22%3E%20now%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22300120%22%20data-d%3D%22480%22%3E%20is%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22300720%22%20data-d%3D%22319%22%3E%20first%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22301080%22%20data-d%3D%22160%22%3E%20of%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22301240%22%20data-d%3D%22199%22%3E%20Alles%2C%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A05%3A01%22%3E%3CSPAN%20data-m%3D%22301520%22%20data-d%3D%22200%22%3Ewe%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22301760%22%20data-d%3D%22319%22%3E%20need%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22302120%22%20data-d%3D%22600%22%3E%20to%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22302840%22%20data-d%3D%22360%22%3E%20bring%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22303240%22%20data-d%3D%22199%22%3E%20Alles%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22303480%22%20data-d%3D%22199%22%3E%20thesis%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22303720%22%20data-d%3D%22599%22%3E%20runtimes%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22304320%22%20data-d%3D%22120%22%3E%20on%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22304480%22%20data-d%3D%2279%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22304600%22%20data-d%3D%22159%22%3E%20same%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22304800%22%20data-d%3D%22719%22%3E%20scale.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A05%3A06%22%3E%3CSPAN%20data-m%3D%22306080%22%20data-d%3D%22360%22%3EHere%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22306440%22%20data-d%3D%22120%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22306560%22%20data-d%3D%22160%22%3E%20have%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22306760%22%20data-d%3D%22160%22%3E%20done%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22306960%22%20data-d%3D%22160%22%3E%20that%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22307160%22%20data-d%3D%22159%22%3E%20by%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22307320%22%20data-d%3D%22199%22%3E%20just%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22307560%22%20data-d%3D%22600%22%3E%20calculating%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A05%3A08%22%3E%3CSPAN%20data-m%3D%22308240%22%20data-d%3D%22199%22%3Ethe%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22308480%22%20data-d%3D%22319%22%3E%20longest%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22308840%22%20data-d%3D%22200%22%3E%20time%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22309080%22%20data-d%3D%22160%22%3E%20like%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22309280%22%20data-d%3D%22200%22%3E%20100%25%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22309480%22%20data-d%3D%22240%22%3E%20other%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22309720%22%20data-d%3D%22959%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22310840%22%20data-d%3D%22560%22%3E%20shortest%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22311400%22%20data-d%3D%22200%22%3E%20is%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22311640%22%20data-d%3D%22319%22%3E%20zero.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A05%3A12%22%3E%3CSPAN%20data-m%3D%22312040%22%20data-d%3D%22239%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22312320%22%20data-d%3D%22199%22%3E%20then%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22312560%22%20data-d%3D%22120%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22312720%22%20data-d%3D%22439%22%3E%20have%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22313320%22%20data-d%3D%22680%22%3E%20every%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22314920%22%20data-d%3D%22759%22%3E%20numbers%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22316600%22%20data-d%3D%22319%22%3E%20from%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22316960%22%20data-d%3D%22600%22%3E%20milliseconds%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22317640%22%20data-d%3D%22480%22%3E%20seconds%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A05%3A18%22%3E%3CSPAN%20data-m%3D%22318120%22%20data-d%3D%22519%22%3Etransferred%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22318680%22%20data-d%3D%22199%22%3E%20into%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22318920%22%20data-d%3D%22240%22%3E%20this%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22319200%22%20data-d%3D%22280%22%3E%20percent%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22319560%22%20data-d%3D%22680%22%3E%20scale.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A05%3A21%22%3E%3CSPAN%20data-m%3D%22321280%22%20data-d%3D%22720%22%3EThen%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22322360%22%20data-d%3D%22319%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22322720%22%20data-d%3D%22879%22%3E%20interpolated%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22323760%22%20data-d%3D%22480%22%3E%20because%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22324360%22%20data-d%3D%22279%22%3E%20quiet%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22324680%22%20data-d%3D%22159%22%3E%20they%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22324880%22%20data-d%3D%22120%22%3E%20were%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22325040%22%20data-d%3D%22159%22%3E%20not%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22325240%22%20data-d%3D%22159%22%3E%20on%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22325400%22%20data-d%3D%22120%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22325560%22%20data-d%3D%22319%22%3E%20same%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22325960%22%20data-d%3D%22240%22%3E%20time%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22326240%22%20data-d%3D%22519%22%3E%20slot%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22326840%22%20data-d%3D%22360%22%3E%20actually.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A05%3A27%22%3E%3CSPAN%20data-m%3D%22327280%22%20data-d%3D%22240%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22327560%22%20data-d%3D%22399%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22328080%22%20data-d%3D%22199%22%3E%20had%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22328320%22%20data-d%3D%22120%22%3E%20to%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22328480%22%20data-d%3D%22359%22%3E%20bring%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22328920%22%20data-d%3D%22279%22%3E%20Alles%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22329240%22%20data-d%3D%22159%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22329440%22%20data-d%3D%22240%22%3E%20Y%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22329760%22%20data-d%3D%22360%22%3E%20numbers%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22330200%22%20data-d%3D%22199%22%3E%20on%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22330400%22%20data-d%3D%22160%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22330560%22%20data-d%3D%22360%22%3E%20same%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22331000%22%20data-d%3D%22319%22%3E%20time%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22331360%22%20data-d%3D%22680%22%3E%20point.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A05%3A32%22%3E%3CSPAN%20data-m%3D%22332200%22%20data-d%3D%22360%22%3EThis%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22332600%22%20data-d%3D%22199%22%3E%20means%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22332840%22%20data-d%3D%22160%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22333040%22%20data-d%3D%22519%22%3E%20need%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22333720%22%20data-d%3D%22319%22%3E%20to%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22334040%22%20data-d%3D%22159%22%3E%20do%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22334240%22%20data-d%3D%22120%22%3E%20a%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22334360%22%20data-d%3D%22159%22%3E%20child%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A05%3A34%22%3E%3CSPAN%20data-m%3D%22334520%22%20data-d%3D%22160%22%3Eof%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22334720%22%20data-d%3D%22959%22%3E%20interpolation%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22335880%22%20data-d%3D%22319%22%3E%20to%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22336240%22%20data-d%3D%22199%22%3E%20have%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22336440%22%20data-d%3D%22199%22%3E%20them%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22336680%22%20data-d%3D%22120%22%3E%20Alles%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22336840%22%20data-d%3D%2280%22%3E%20on%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22336960%22%20data-d%3D%22120%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22337120%22%20data-d%3D%22560%22%3E%20same.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A05%3A38%22%3E%3CSPAN%20data-m%3D%22338800%22%20data-d%3D%22319%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22339160%22%20data-d%3D%22159%22%3E%20then%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22339360%22%20data-d%3D%22199%22%3E%20when%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22339560%22%20data-d%3D%22160%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22339760%22%20data-d%3D%22160%22%3E%20have%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22339920%22%20data-d%3D%22240%22%3E%20that%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A05%3A40%22%3E%3CSPAN%20data-m%3D%22340200%22%20data-d%3D%22199%22%3Eso%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22340440%22%20data-d%3D%22199%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22340640%22%20data-d%3D%22319%22%3E%20created%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22340960%22%20data-d%3D%22120%22%3E%20a%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22341080%22%20data-d%3D%22160%22%3E%20new%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22341280%22%20data-d%3D%22440%22%3E%20column%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22341800%22%20data-d%3D%22199%22%3E%20with%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22342040%22%20data-d%3D%22159%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22342200%22%20data-d%3D%22360%22%3E%20default%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22342680%22%20data-d%3D%22439%22%3E%20relative%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22343200%22%20data-d%3D%22199%22%3E%20times.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A05%3A43%22%3E%3CSPAN%20data-m%3D%22343440%22%20data-d%3D%22199%22%3EI've%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22343640%22%20data-d%3D%22160%22%3E%20just%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22343840%22%20data-d%3D%22160%22%3E%20seen%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22344040%22%20data-d%3D%22199%22%3E%20them%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22344240%22%20data-d%3D%22120%22%3E%20in%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22344400%22%20data-d%3D%2280%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22344520%22%20data-d%3D%22280%22%3E%20example%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22344880%22%20data-d%3D%22160%22%3E%20in%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22345040%22%20data-d%3D%22120%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22345160%22%20data-d%3D%22159%22%3E%20next%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22345360%22%20data-d%3D%22519%22%3E%20slide%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22346000%22%20data-d%3D%22279%22%3E%20so%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22346320%22%20data-d%3D%22920%22%3E%2000001%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22347240%22%20data-d%3D%22719%22%3E%20other%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22348000%22%20data-d%3D%2279%22%3E%20so%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22348120%22%20data-d%3D%22560%22%3E%20on.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A05%3A49%22%3E%3CSPAN%20data-m%3D%22349160%22%20data-d%3D%22439%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22349680%22%20data-d%3D%22199%22%3E%20then%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22349920%22%20data-d%3D%22199%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22350160%22%20data-d%3D%22639%22%3E%20transpose%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22350880%22%20data-d%3D%22280%22%3E%20them%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22351240%22%20data-d%3D%22279%22%3E%20into%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22351600%22%20data-d%3D%22279%22%3E%20this%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22351960%22%20data-d%3D%22280%22%3E%20white%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22352320%22%20data-d%3D%22560%22%3E%20shape.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A05%3A53%22%3E%3CSPAN%20data-m%3D%22353040%22%20data-d%3D%22319%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22353360%22%20data-d%3D%22199%22%3E%20from%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22353600%22%20data-d%3D%22199%22%3E%20there%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22353840%22%20data-d%3D%22240%22%3E%20on%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22354120%22%20data-d%3D%22199%22%3E%20then%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22354320%22%20data-d%3D%22120%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22354480%22%20data-d%3D%22240%22%3E%20could%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22354760%22%20data-d%3D%22240%22%3E%20do%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22355040%22%20data-d%3D%22199%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22355280%22%20data-d%3D%22400%22%3E%20principal%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22355680%22%20data-d%3D%22439%22%3E%20component%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22356160%22%20data-d%3D%22879%22%3E%20analysis%2C%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A05%3A57%22%3E%3CSPAN%20data-m%3D%22357240%22%20data-d%3D%22439%22%3Esaving%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22357760%22%20data-d%3D%22199%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22358000%22%20data-d%3D%22439%22%3E%20printable%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22358480%22%20data-d%3D%22680%22%3E%20components%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22359200%22%20data-d%3D%22639%22%3E%20other%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22360200%22%20data-d%3D%22720%22%3E%20calculate%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22360960%22%20data-d%3D%22200%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22361160%22%20data-d%3D%22159%22%3E%20T%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22361360%22%20data-d%3D%22360%22%3E%20squares%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22361760%22%20data-d%3D%22160%22%3E%20from%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22361960%22%20data-d%3D%22200%22%3E%20them%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A06%3A02%22%3E%3CSPAN%20data-m%3D%22362240%22%20data-d%3D%22159%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22362440%22%20data-d%3D%22160%22%3E%20build%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22362600%22%20data-d%3D%22120%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22362760%22%20data-d%3D%22280%22%3E%20control%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22363120%22%20data-d%3D%22439%22%3E%20charts%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22363640%22%20data-d%3D%22199%22%3E%20from%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22363880%22%20data-d%3D%22240%22%3E%20thesis%20T%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22364200%22%20data-d%3D%22400%22%3E%20squares%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22364640%22%20data-d%3D%22840%22%3E%20values.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A06%3A06%22%3E%3CSPAN%20data-m%3D%22366320%22%20data-d%3D%22360%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22366720%22%20data-d%3D%22199%22%3E%20here%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22366960%22%20data-d%3D%22160%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22367120%22%20data-d%3D%22199%22%3E%20lake%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22367400%22%20data-d%3D%22160%22%3E%20it's%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22367600%22%20data-d%3D%22599%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22368400%22%20data-d%3D%22800%22%3E%20slot%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22369560%22%20data-d%3D%221160%22%3E%200%25%2C%201%25%2C%202%25%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22370760%22%20data-d%3D%221680%22%3E%20other%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22372440%22%20data-d%3D%22120%22%3E%20so%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22372600%22%20data-d%3D%2279%22%3E%20on.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A06%3A12%22%3E%3CSPAN%20data-m%3D%22372720%22%20data-d%3D%22119%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22372880%22%20data-d%3D%22160%22%3E%20here%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22373040%22%20data-d%3D%22120%22%3E%20are%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22373200%22%20data-d%3D%2279%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22373320%22%20data-d%3D%22280%22%3E%20pressure%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22373640%22%20data-d%3D%22759%22%3E%20values.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A06%3A16%22%3E%3CSPAN%20data-m%3D%22376520%22%20data-d%3D%22319%22%3EIn%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22376840%22%20data-d%3D%22160%22%3E%20a%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22377040%22%20data-d%3D%22399%22%3E%20parallel%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22377480%22%20data-d%3D%22639%22%3E%20plot%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22378280%22%20data-d%3D%22280%22%3E%20it%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22378600%22%20data-d%3D%22199%22%3E%20looks%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22378840%22%20data-d%3D%22160%22%3E%20child%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22379000%22%20data-d%3D%22120%22%3E%20of%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22379120%22%20data-d%3D%22159%22%3E%20Like%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22379280%22%20data-d%3D%22240%22%3E%20this.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A06%3A19%22%3E%3CSPAN%20data-m%3D%22379560%22%20data-d%3D%22199%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22379760%22%20data-d%3D%22160%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22379960%22%20data-d%3D%22160%22%3E%20have%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22380160%22%20data-d%3D%22399%22%3E%20here%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22380640%22%20data-d%3D%22240%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22380920%22%20data-d%3D%22199%22%3E%20different%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22381200%22%20data-d%3D%22319%22%3E%20slots%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22381560%22%20data-d%3D%22160%22%3E%20here%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22381760%22%20data-d%3D%22360%22%3E%20on%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22382200%22%20data-d%3D%22240%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22382480%22%20data-d%3D%22159%22%3E%20X%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22382640%22%20data-d%3D%22400%22%3E%20axis%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A06%3A23%22%3E%3CSPAN%20data-m%3D%22383080%22%20data-d%3D%22199%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22383320%22%20data-d%3D%22160%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22383520%22%20data-d%3D%22400%22%3E%20pressure%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22384000%22%20data-d%3D%22240%22%3E%20is%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22384320%22%20data-d%3D%22160%22%3E%20quiet%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22384520%22%20data-d%3D%22160%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22384680%22%20data-d%3D%22240%22%3E%20same%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22384960%22%20data-d%3D%22280%22%3E%20numbers%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22385320%22%20data-d%3D%22199%22%3E%20like%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22385520%22%20data-d%3D%22600%22%3E%20before%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A06%3A26%22%3E%3CSPAN%20data-m%3D%22386440%22%20data-d%3D%22319%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22386800%22%20data-d%3D%22120%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22386920%22%20data-d%3D%22199%22%3E%20lake%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22387200%22%20data-d%3D%22319%22%3E%20that%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22387600%22%20data-d%3D%22439%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22388160%22%20data-d%3D%22439%22%3E%20curves%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22388680%22%20data-d%3D%22199%22%3E%20are%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22388880%22%20data-d%3D%22280%22%3E%20looking%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22389200%22%20data-d%3D%22199%22%3E%20pretty%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22389440%22%20data-d%3D%22199%22%3E%20much%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22389720%22%20data-d%3D%22119%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22389880%22%20data-d%3D%22199%22%3E%20same%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22390120%22%20data-d%3D%22199%22%3E%20like%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22390320%22%20data-d%3D%22560%22%3E%20before%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A06%3A31%22%3E%3CSPAN%20data-m%3D%22391040%22%20data-d%3D%22279%22%3Ebut%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22391360%22%20data-d%3D%22199%22%3E%20now%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22391640%22%20data-d%3D%22160%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22391840%22%20data-d%3D%22120%22%3E%20have%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22391960%22%20data-d%3D%22200%22%3E%20about%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22392240%22%20data-d%3D%22719%22%3E%20100%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22393160%22%20data-d%3D%22399%22%3E%20data%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22393600%22%20data-d%3D%22279%22%3E%20points%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22393960%22%20data-d%3D%22200%22%3E%20other%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22394160%22%20data-d%3D%22239%22%3E%20before%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22394440%22%20data-d%3D%22160%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22394600%22%20data-d%3D%22159%22%3E%20had%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22394760%22%20data-d%3D%22480%22%3E%20.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A06%3A35%22%3E%3CSPAN%20data-m%3D%22395280%22%20data-d%3D%22280%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22395640%22%20data-d%3D%22240%22%3E%20it's%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22395880%22%20data-d%3D%22199%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22396080%22%20data-d%3D%22280%22%3E%20density%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22396440%22%20data-d%3D%22120%22%3E%20of%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22396600%22%20data-d%3D%22120%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22396760%22%20data-d%3D%22199%22%3E%20points%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22397040%22%20data-d%3D%22239%22%3E%20are%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22397320%22%20data-d%3D%22160%22%3E%20a%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22397480%22%20data-d%3D%22159%22%3E%20little%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22397680%22%20data-d%3D%22599%22%3E%20less%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22398480%22%20data-d%3D%22319%22%3E%20but%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22398840%22%20data-d%3D%22439%22%3E%20quiet%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22399400%22%20data-d%3D%22280%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22399720%22%20data-d%3D%22439%22%3E%20curves%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A06%3A40%22%3E%3CSPAN%20data-m%3D%22400240%22%20data-d%3D%22199%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22400480%22%20data-d%3D%22159%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22400640%22%20data-d%3D%22439%22%3E%20shapes%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22401160%22%20data-d%3D%22159%22%3E%20other%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22401320%22%20data-d%3D%22120%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22401440%22%20data-d%3D%22639%22%3E%20position%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22402120%22%20data-d%3D%22199%22%3E%20other%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22402320%22%20data-d%3D%22400%22%3E%20everything%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22402840%22%20data-d%3D%22680%22%3E%20are%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22404120%22%20data-d%3D%22319%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22404440%22%20data-d%3D%22199%22%3E%20same%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22404720%22%20data-d%3D%22159%22%3E%20like%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22404920%22%20data-d%3D%22560%22%3E%20before%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A06%3A48%22%3E%3CSPAN%20data-m%3D%22408720%22%20data-d%3D%22359%22%3EAnd%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22409080%22%20data-d%3D%22199%22%3E%20take%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22409320%22%20data-d%3D%22199%22%3E%20now%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22409560%22%20data-d%3D%22600%22%3E%20this%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22410320%22%20data-d%3D%22439%22%3E%20white%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22410840%22%20data-d%3D%22480%22%3E%20table%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A06%3A51%22%3E%3CSPAN%20data-m%3D%22411400%22%20data-d%3D%22280%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22411720%22%20data-d%3D%22159%22%3E%20on%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22411920%22%20data-d%3D%22159%22%3E%20Alles%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22412080%22%20data-d%3D%22199%22%3E%20thesis%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22412320%22%20data-d%3D%22480%22%3E%20different%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22412960%22%20data-d%3D%22280%22%3E%20time%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22413280%22%20data-d%3D%22480%22%3E%20slots%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A06%3A53%22%3E%3CSPAN%20data-m%3D%22413840%22%20data-d%3D%22200%22%3Ewe%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22414080%22%20data-d%3D%22160%22%3E%20do%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22414280%22%20data-d%3D%22200%22%3E%20a%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22414520%22%20data-d%3D%22360%22%3E%20principle%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22415040%22%20data-d%3D%22359%22%3E%20component%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22415440%22%20data-d%3D%22879%22%3E%20analysis.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A06%3A56%22%3E%3CSPAN%20data-m%3D%22416720%22%20data-d%3D%22399%22%3EThen%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22417160%22%20data-d%3D%22199%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22417400%22%20data-d%3D%22280%22%3E%20find%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22417760%22%20data-d%3D%22400%22%3E%20here%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22418240%22%20data-d%3D%22399%22%3E%20this%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22418720%22%20data-d%3D%22559%22%3E%20scoreboard%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22419280%22%20data-d%3D%22160%22%3E%20for%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22419480%22%20data-d%3D%22560%22%3E%20it.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A07%3A00%22%3E%3CSPAN%20data-m%3D%22420720%22%20data-d%3D%22319%22%3EWhat%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22421040%22%20data-d%3D%22159%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22421240%22%20data-d%3D%22319%22%3E%20already%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22421640%22%20data-d%3D%22280%22%3E%20lake%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22421960%22%20data-d%3D%22240%22%3E%20here%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22422280%22%20data-d%3D%22240%22%3E%20is%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22422560%22%20data-d%3D%22199%22%3E%20that%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22422760%22%20data-d%3D%22120%22%3E%20in%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22422920%22%20data-d%3D%2279%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22423040%22%20data-d%3D%22239%22%3E%20center%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22423320%22%20data-d%3D%22720%22%3E%20part%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22424240%22%20data-d%3D%22319%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22424560%22%20data-d%3D%22199%22%3E%20have%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22424800%22%20data-d%3D%22599%22%3E%20here%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A07%3A06%22%3E%3CSPAN%20data-m%3D%22426800%22%20data-d%3D%22360%22%3EAlles%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22427200%22%20data-d%3D%22160%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22427400%22%20data-d%3D%22160%22%3E%20green%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22427600%22%20data-d%3D%22359%22%3E%20dots%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22428000%22%20data-d%3D%22160%22%3E%20other%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22428200%22%20data-d%3D%22120%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22428360%22%20data-d%3D%22159%22%3E%20green%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22428560%22%20data-d%3D%22199%22%3E%20ones%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22428800%22%20data-d%3D%22159%22%3E%20like%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22428960%22%20data-d%3D%22120%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22429080%22%20data-d%3D%22160%22%3E%20lake%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22429280%22%20data-d%3D%22200%22%3E%20here%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22429520%22%20data-d%3D%22319%22%3E%20are%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22429920%22%20data-d%3D%22199%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22430160%22%20data-d%3D%22399%22%3E%20accepted%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22430560%22%20data-d%3D%22240%22%3E%20ones%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A07%3A11%22%3E%3CSPAN%20data-m%3D%22431000%22%20data-d%3D%22160%22%3Eor%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22431160%22%20data-d%3D%22439%22%3E%20good%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22431720%22%20data-d%3D%22959%22%3E%20parts%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22432880%22%20data-d%3D%22879%22%3E%20surrounded%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22433840%22%20data-d%3D%22600%22%3E%20by%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22434760%22%20data-d%3D%22360%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22435160%22%20data-d%3D%22239%22%3E%20red%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22435480%22%20data-d%3D%22599%22%3E%20dots%2C%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A07%3A16%22%3E%3CSPAN%20data-m%3D%22436200%22%20data-d%3D%22600%22%3Ethe%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22436960%22%20data-d%3D%22560%22%3E%20rejected%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22437560%22%20data-d%3D%22240%22%3E%20ones%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22437880%22%20data-d%3D%22120%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22438040%22%20data-d%3D%22319%22%3E%20false%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22438400%22%20data-d%3D%22600%22%3E%20ones.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A07%3A19%22%3E%3CSPAN%20data-m%3D%22439760%22%20data-d%3D%22319%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22440120%22%20data-d%3D%22120%22%3E%20like%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22440240%22%20data-d%3D%22159%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22440400%22%20data-d%3D%22200%22%3E%20lake%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22440640%22%20data-d%3D%22280%22%3E%20so%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22440960%22%20data-d%3D%22160%22%3E%20in%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22441160%22%20data-d%3D%22159%22%3E%20this%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22441360%22%20data-d%3D%22360%22%3E%20example%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22441840%22%20data-d%3D%22280%22%3E%20here%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22442200%22%20data-d%3D%22160%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22442400%22%20data-d%3D%22160%22%3E%20can%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22442560%22%20data-d%3D%22199%22%3E%20stay%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22442800%22%20data-d%3D%22199%22%3E%20with%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22443040%22%20data-d%3D%22159%22%3E%20two%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22443240%22%20data-d%3D%22439%22%3E%20principal%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22443680%22%20data-d%3D%22519%22%3E%20components%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A07%3A24%22%3E%3CSPAN%20data-m%3D%22444240%22%20data-d%3D%22240%22%3Ebecause%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22444520%22%20data-d%3D%22200%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22444720%22%20data-d%3D%22159%22%3E%20first%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22444920%22%20data-d%3D%22439%22%3E%20principal%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22445440%22%20data-d%3D%22560%22%3E%20components%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22446080%22%20data-d%3D%22360%22%3E%20covers%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22446440%22%20data-d%3D%22319%22%3E%20already%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22446840%22%20data-d%3D%22320%22%3E%2098%25%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22447200%22%20data-d%3D%22319%22%3E%20of%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22447560%22%20data-d%3D%221040%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22448640%22%20data-d%3D%22639%22%3E%20variation%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A07%3A29%22%3E%3CSPAN%20data-m%3D%22449360%22%20data-d%3D%22199%22%3Ein%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22449600%22%20data-d%3D%22279%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22449960%22%20data-d%3D%22319%22%3E%20second%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22450320%22%20data-d%3D%22199%22%3E%20one%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22450560%22%20data-d%3D%22160%22%3E%202%25%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22450760%22%20data-d%3D%22160%22%3E%20other%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22450920%22%20data-d%3D%22680%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22451640%22%20data-d%3D%22120%22%3E%20other%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22451800%22%20data-d%3D%22199%22%3E%20ones%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22452040%22%20data-d%3D%22159%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22452240%22%20data-d%3D%22159%22%3E%20can%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22452400%22%20data-d%3D%22600%22%3E%20neglect%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A07%3A33%22%3E%3CSPAN%20data-m%3D%22453120%22%20data-d%3D%22240%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22453360%22%20data-d%3D%22120%22%3E%20I%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22453520%22%20data-d%3D%2280%22%3E%20think%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22453640%22%20data-d%3D%22160%22%3E%20it's%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22453800%22%20data-d%3D%22159%22%3E%20good%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22453960%22%20data-d%3D%22319%22%3E%20enough%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22454360%22%20data-d%3D%22680%22%3E%20to%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22455240%22%20data-d%3D%22399%22%3E%20Save%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22455680%22%20data-d%3D%22199%22%3E%20just%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22455920%22%20data-d%3D%22199%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22456120%22%20data-d%3D%22600%22%3E%20first%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22457280%22%20data-d%3D%22560%22%3E%20two%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22457960%22%20data-d%3D%22480%22%3E%20principle%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22458480%22%20data-d%3D%22919%22%3E%20components.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A07%3A40%22%3E%3CSPAN%20data-m%3D%22460680%22%20data-d%3D%22319%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22461000%22%20data-d%3D%22160%22%3E%20then%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22461200%22%20data-d%3D%22199%22%3E%20from%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22461400%22%20data-d%3D%22200%22%3E%20thesis%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22461640%22%20data-d%3D%22160%22%3E%20two%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22461840%22%20data-d%3D%22320%22%3E%20principal%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22462240%22%20data-d%3D%22839%22%3E%20components%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22463240%22%20data-d%3D%22279%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22463560%22%20data-d%3D%22519%22%3E%20calculated%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22464120%22%20data-d%3D%22159%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22464320%22%20data-d%3D%22160%22%3E%20T%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22464520%22%20data-d%3D%22879%22%3E%20squares%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A07%3A46%22%3E%3CSPAN%20data-m%3D%22466200%22%20data-d%3D%22360%22%3EThis%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22466600%22%20data-d%3D%22519%22%3E%20means%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22467240%22%20data-d%3D%22639%22%3E%20T%20Square%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22467920%22%20data-d%3D%22519%22%3E%20is%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22468560%22%20data-d%3D%22480%22%3E%20principal%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22469080%22%20data-d%3D%22400%22%3E%20component%2C%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A07%3A49%22%3E%3CSPAN%20data-m%3D%22469560%22%20data-d%3D%22279%22%3Eone%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22469880%22%20data-d%3D%22480%22%3E%20squared%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22470480%22%20data-d%3D%22519%22%3E%20plus%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22471120%22%20data-d%3D%22519%22%3E%20principal%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22471640%22%20data-d%3D%22639%22%3E%20components.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A07%3A52%22%3E%3CSPAN%20data-m%3D%22472320%22%20data-d%3D%22199%22%3ETwo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22472560%22%20data-d%3D%22439%22%3E%20squares%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22473040%22%20data-d%3D%22159%22%3E%20would%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22473240%22%20data-d%3D%22159%22%3E%20be%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22473400%22%20data-d%3D%22200%22%3E%20then%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22473640%22%20data-d%3D%22160%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22473840%22%20data-d%3D%22560%22%3E%20T%20squared%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22474440%22%20data-d%3D%22399%22%3E%20here%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A07%3A54%22%3E%3CSPAN%20data-m%3D%22474960%22%20data-d%3D%22240%22%3Efor%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22475200%22%20data-d%3D%22199%22%3E%20this%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22475440%22%20data-d%3D%22319%22%3E%20data%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22475840%22%20data-d%3D%22560%22%3E%20period.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A07%3A56%22%3E%3CSPAN%20data-m%3D%22476520%22%20data-d%3D%22800%22%3Ecalculating%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22477400%22%20data-d%3D%22280%22%3E%20this%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22477720%22%20data-d%3D%22359%22%3E%20one%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22478200%22%20data-d%3D%22639%22%3E%20.%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A07%3A58%22%3E%3CSPAN%20data-m%3D%22478880%22%20data-d%3D%22199%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22479120%22%20data-d%3D%22159%22%3E%20for%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22479280%22%20data-d%3D%22280%22%3E%20every%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22479600%22%20data-d%3D%22319%22%3E%20data%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22479920%22%20data-d%3D%22199%22%3E%20period%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22480160%22%20data-d%3D%22199%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22480360%22%20data-d%3D%22519%22%3E%20calculated%2C%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A08%3A00%22%3E%3CSPAN%20data-m%3D%22480920%22%20data-d%3D%22319%22%3Ethis%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22481280%22%20data-d%3D%22200%22%3E%20T%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22481520%22%20data-d%3D%22640%22%3E%20square%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22482360%22%20data-d%3D%22479%22%3E%20other%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22482920%22%20data-d%3D%22199%22%3E%20bring%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22483120%22%20data-d%3D%22159%22%3E%20it%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22483320%22%20data-d%3D%22120%22%3E%20on%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22483440%22%20data-d%3D%22120%22%3E%20a%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22483560%22%20data-d%3D%22240%22%3E%20control%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22483880%22%20data-d%3D%22680%22%3E%20chart%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A08%3A07%22%3E%3CSPAN%20data-m%3D%22487720%22%20data-d%3D%22199%22%3EHere%2C%20you%20see%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22487960%22%20data-d%3D%22360%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22488440%22%20data-d%3D%22360%22%3E%20control%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22488880%22%20data-d%3D%22519%22%3E%20limits%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22489480%22%20data-d%3D%22680%22%3E%20calculated%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22490240%22%20data-d%3D%22360%22%3E%20only%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22490680%22%20data-d%3D%22199%22%3E%20from%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22490920%22%20data-d%3D%22159%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22491080%22%20data-d%3D%22600%22%3E%20well%2C%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A08%3A12%22%3E%3CSPAN%20data-m%3D%22492040%22%20data-d%3D%22319%22%3Efrom%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22492360%22%20data-d%3D%22159%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22492520%22%20data-d%3D%22200%22%3E%20green%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22492760%22%20data-d%3D%22280%22%3E%20dots%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22493120%22%20data-d%3D%22120%22%3E%20from%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22493280%22%20data-d%3D%22120%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22493440%22%20data-d%3D%22160%22%3E%20good%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22493640%22%20data-d%3D%22319%22%3E%20runs%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22493960%22%20data-d%3D%22120%22%3E%20from%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22494120%22%20data-d%3D%22120%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22494280%22%20data-d%3D%22280%22%3E%20good%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22494640%22%20data-d%3D%22319%22%3E%20curve.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A08%3A15%22%3E%3CSPAN%20data-m%3D%22495040%22%20data-d%3D%22159%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22495240%22%20data-d%3D%22120%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22495360%22%20data-d%3D%22120%22%3E%20lake%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22495480%22%20data-d%3D%22120%22%3E%20it%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22495600%22%20data-d%3D%22159%22%3E%20down%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22495800%22%20data-d%3D%22199%22%3E%20here%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22496000%22%20data-d%3D%22120%22%3E%20from%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22496160%22%20data-d%3D%22119%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22496320%22%20data-d%3D%22199%22%3E%20moving%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22496600%22%20data-d%3D%22639%22%3E%20range.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A08%3A18%22%3E%3CSPAN%20data-m%3D%22498360%22%20data-d%3D%22399%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22498800%22%20data-d%3D%22199%22%3E%20this%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22499040%22%20data-d%3D%22279%22%3E%20means%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22499400%22%20data-d%3D%22280%22%3E%20OK.%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22499760%22%20data-d%3D%22600%22%3EThis%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22500880%22%20data-d%3D%22680%22%3E%20controlling%2C%20it%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22501800%22%20data-d%3D%22719%22%3E%20represents%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22502640%22%20data-d%3D%22520%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22503280%22%20data-d%3D%22600%22%3E%20normal%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22503960%22%20data-d%3D%22480%22%3E%20natural%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22504520%22%20data-d%3D%22640%22%3E%20variation%2C%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A08%3A25%22%3E%3CSPAN%20data-m%3D%22505240%22%20data-d%3D%22240%22%3Ewhat%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22505480%22%20data-d%3D%22159%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22505680%22%20data-d%3D%22319%22%3E%20expect%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22506080%22%20data-d%3D%22560%22%3E%20from%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22506760%22%20data-d%3D%22319%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22507160%22%20data-d%3D%22159%22%3E%20good%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22507360%22%20data-d%3D%22639%22%3E%20ones.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A08%3A28%22%3E%3CSPAN%20data-m%3D%22508200%22%20data-d%3D%22720%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22509080%22%20data-d%3D%22319%22%3E%20Alles%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22509440%22%20data-d%3D%22199%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22509680%22%20data-d%3D%22240%22%3E%20non%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22509920%22%20data-d%3D%22199%22%3E%20good%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22510160%22%20data-d%3D%22279%22%3E%20ones%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22510480%22%20data-d%3D%22159%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22510680%22%20data-d%3D%22159%22%3E%20red%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22510880%22%20data-d%3D%22240%22%3E%20ones%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A08%3A31%22%3E%3CSPAN%20data-m%3D%22511600%22%20data-d%3D%22359%22%3Eshould%20be%20outside%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22512039%22%20data-d%3D%22200%22%3E%20of%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22512280%22%20data-d%3D%22560%22%3E%20this%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22513480%22%20data-d%3D%22519%22%3E%20regime%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22514039%22%20data-d%3D%22639%22%3E%20here.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A08%3A34%22%3E%3CSPAN%20data-m%3D%22514880%22%20data-d%3D%22279%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22515200%22%20data-d%3D%22120%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22515360%22%20data-d%3D%22519%22%3E%20lake%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22516039%22%20data-d%3D%22639%22%3E%20it's%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22516799%22%20data-d%3D%22480%22%3E%20mostly%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22517360%22%20data-d%3D%22360%22%3E%20done%2C%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A08%3A37%22%3E%3CSPAN%20data-m%3D%22517760%22%20data-d%3D%22360%22%3Ebut%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22518159%22%20data-d%3D%22240%22%3E%20not%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22518440%22%20data-d%3D%22199%22%3E%20for%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22518679%22%20data-d%3D%22200%22%3E%20thesis%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22518919%22%20data-d%3D%22200%22%3E%20two%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22519159%22%20data-d%3D%22240%22%3E%20points%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22519440%22%20data-d%3D%22399%22%3E%20here%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22519919%22%20data-d%3D%22280%22%3E%20for%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22520240%22%20data-d%3D%22200%22%3E%20part%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22520480%22%20data-d%3D%22240%22%3E%20number%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22520760%22%20data-d%3D%22519%22%3E%2014%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22521280%22%20data-d%3D%22279%22%3E%20other%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22521600%22%20data-d%3D%22240%22%3E%20part%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22521919%22%20data-d%3D%22240%22%3E%20number%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22522200%22%20data-d%3D%22599%22%3E%2015%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A08%3A43%22%3E%3CSPAN%20data-m%3D%22523240%22%20data-d%3D%22679%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22524039%22%20data-d%3D%22519%22%3E%20they're%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22524640%22%20data-d%3D%22399%22%3E%20inside%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22525120%22%20data-d%3D%22320%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22525480%22%20data-d%3D%22319%22%3E%20control%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22525840%22%20data-d%3D%22759%22%3E%20limit.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A08%3A47%22%3E%3CSPAN%20data-m%3D%22527520%22%20data-d%3D%22320%22%3Ebut%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22527880%22%20data-d%3D%22159%22%3E%20that%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22528040%22%20data-d%3D%22120%22%3E%20is%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22528160%22%20data-d%3D%22160%22%3E%20not%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22528360%22%20data-d%3D%22120%22%3E%20what%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22528480%22%20data-d%3D%22159%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22528640%22%20data-d%3D%22159%22%3E%20want%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22528840%22%20data-d%3D%22120%22%3E%20to%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22528960%22%20data-d%3D%22159%22%3E%20lake.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A08%3A49%22%3E%3CSPAN%20data-m%3D%22529160%22%20data-d%3D%22360%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22529600%22%20data-d%3D%22240%22%3E%20first%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22529880%22%20data-d%3D%22120%22%3E%20of%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22530000%22%20data-d%3D%22159%22%3E%20Alles%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22530200%22%20data-d%3D%22120%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22530360%22%20data-d%3D%2280%22%3E%20have%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22530480%22%20data-d%3D%2279%22%3E%20to%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22530600%22%20data-d%3D%22279%22%3E%20understand%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22530960%22%20data-d%3D%22199%22%3E%20what%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22531160%22%20data-d%3D%22160%22%3E%20are%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22531360%22%20data-d%3D%22159%22%3E%20thesis%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22531560%22%20data-d%3D%22600%22%3E%20two.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A08%3A52%22%3E%3CSPAN%20data-m%3D%22532360%22%20data-d%3D%22279%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22532640%22%20data-d%3D%22120%22%3E%20if%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22532800%22%20data-d%3D%22120%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22532920%22%20data-d%3D%22120%22%3E%20have%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22533040%22%20data-d%3D%22120%22%3E%20a%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22533160%22%20data-d%3D%22160%22%3E%20look%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22533360%22%20data-d%3D%22759%22%3E%20onto%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22534320%22%20data-d%3D%22319%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22534640%22%20data-d%3D%22519%22%3E%20next%20picture%2C%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A08%3A55%22%3E%3CSPAN%20data-m%3D%22535840%22%20data-d%3D%22240%22%3Ethen%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22536120%22%20data-d%3D%22159%22%3E%20other%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22536320%22%20data-d%3D%22279%22%3E%20highlights%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22536640%22%20data-d%3D%22240%22%3E%20just%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22536920%22%20data-d%3D%22200%22%3E%20thesis%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22537160%22%20data-d%3D%22160%22%3E%20two%2C%2014%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22537320%22%20data-d%3D%22159%22%3E%20other%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22537520%22%20data-d%3D%22159%22%3E%2015%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22537680%22%20data-d%3D%22840%22%3E%20then%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22538520%22%20data-d%3D%22120%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22538680%22%20data-d%3D%22440%22%3E%20lake%2C%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A08%3A59%22%3E%3CSPAN%20data-m%3D%22539240%22%20data-d%3D%22399%22%3E%22Ah%20okay.%22%20T%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22539760%22%20data-d%3D%22240%22%3E%20hese%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22540040%22%20data-d%3D%22120%22%3E%20are%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22540160%22%20data-d%3D%22120%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22540280%22%20data-d%3D%22560%22%3E%20ones%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22541000%22%20data-d%3D%22639%22%3E%20here%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A09%3A01%22%3E%3CSPAN%20data-m%3D%22541760%22%20data-d%3D%22320%22%3Ewhich%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22542120%22%20data-d%3D%22519%22%3E%20are%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22542760%22%20data-d%3D%22480%22%3E%20really%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22543320%22%20data-d%3D%22319%22%3E%20within%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22543680%22%20data-d%3D%22200%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22543920%22%20data-d%3D%22360%22%3E%20regime%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22544360%22%20data-d%3D%22120%22%3E%20of%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22544520%22%20data-d%3D%22159%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22544720%22%20data-d%3D%22240%22%3E%20green%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22545000%22%20data-d%3D%22600%22%3E%20ones.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A09%3A06%22%3E%3CSPAN%20data-m%3D%22546120%22%20data-d%3D%22320%22%3Ethe%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22546480%22%20data-d%3D%22199%22%3E%20other%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22546760%22%20data-d%3D%22279%22%3E%20ones%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22547080%22%20data-d%3D%22199%22%3E%20which%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22547280%22%20data-d%3D%22200%22%3E%20are%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22547480%22%20data-d%3D%22279%22%3E%20further%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22547760%22%20data-d%3D%22360%22%3E%20apart%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22548160%22%20data-d%3D%22200%22%3E%20from%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22548400%22%20data-d%3D%22360%22%3E%20it%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22548840%22%20data-d%3D%22240%22%3E%20they%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22549120%22%20data-d%3D%22519%22%3E%20are%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22549760%22%20data-d%3D%22480%22%3E%20easily%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22550320%22%20data-d%3D%22759%22%3E%20excluded%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A09%3A11%22%3E%3CSPAN%20data-m%3D%22551800%22%20data-d%3D%22480%22%3Eor%20not%20excluded%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22552320%22%20data-d%3D%22239%22%3E%20but%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22552640%22%20data-d%3D%22159%22%3E%20let's%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22552840%22%20data-d%3D%22240%22%3E%20say%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22553160%22%20data-d%3D%22639%22%3E%20distinguished%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A09%3A13%22%3E%3CSPAN%20data-m%3D%22553840%22%20data-d%3D%22159%22%3Ehere%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22554040%22%20data-d%3D%22120%22%3E%20with%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22554200%22%20data-d%3D%22199%22%3E%20this%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22554440%22%20data-d%3D%22279%22%3E%20control%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22554760%22%20data-d%3D%22680%22%3E%20shot.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A09%3A15%22%3E%3CSPAN%20data-m%3D%22555840%22%20data-d%3D%22759%22%3Ebut%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22557200%22%20data-d%3D%22359%22%3E%20thesis%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22557600%22%20data-d%3D%22399%22%3E%20parts%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22558040%22%20data-d%3D%22200%22%3E%20were%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22558280%22%20data-d%3D%22639%22%3E%20not.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A09%3A19%22%3E%3CSPAN%20data-m%3D%22559080%22%20data-d%3D%22519%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22559720%22%20data-d%3D%22240%22%3E%20what%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22559960%22%20data-d%3D%22199%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22560200%22%20data-d%3D%22199%22%3E%20learned%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22560440%22%20data-d%3D%22199%22%3E%20from%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22560680%22%20data-d%3D%22240%22%3E%20here%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22560960%22%20data-d%3D%22199%22%3E%20that%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22561160%22%20data-d%3D%22200%22%3E%20is%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22561400%22%20data-d%3D%22480%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22562040%22%20data-d%3D%22480%22%3E%20principal%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22562600%22%20data-d%3D%22399%22%3E%20component%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22563040%22%20data-d%3D%22360%22%3E%20approach%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A09%3A23%22%3E%3CSPAN%20data-m%3D%22563440%22%20data-d%3D%22159%22%3Elike%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22563640%22%20data-d%3D%2280%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22563720%22%20data-d%3D%22120%22%3E%20have%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22563880%22%20data-d%3D%22159%22%3E%20done%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22564040%22%20data-d%3D%22160%22%3E%20it%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22564240%22%20data-d%3D%22200%22%3E%20here%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22564520%22%20data-d%3D%22320%22%3E%20or%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22564920%22%20data-d%3D%22200%22%3E%20have%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22565120%22%20data-d%3D%22159%22%3E%20done%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22565280%22%20data-d%3D%22120%22%3E%20it%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22565440%22%20data-d%3D%2279%22%3E%20in%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22565560%22%20data-d%3D%22360%22%3E%20former%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22565960%22%20data-d%3D%22559%22%3E%20times%2C%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A09%3A27%22%3E%3CSPAN%20data-m%3D%22567480%22%20data-d%3D%22519%22%3Ethere%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22568040%22%20data-d%3D%22720%22%3E%20is%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22568920%22%20data-d%3D%22440%22%3E%20no%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22569400%22%20data-d%3D%22560%22%3E%20information%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22570120%22%20data-d%3D%22320%22%3E%20about%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22570520%22%20data-d%3D%22159%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22570720%22%20data-d%3D%22439%22%3E%20shape%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22571200%22%20data-d%3D%22159%22%3E%20of%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22571400%22%20data-d%3D%2280%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22571520%22%20data-d%3D%22279%22%3E%20curve.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A09%3A31%22%3E%3CSPAN%20data-m%3D%22571840%22%20data-d%3D%22199%22%3EIt's%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22572080%22%20data-d%3D%22240%22%3E%20more%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22572360%22%20data-d%3D%22439%22%3E%20information%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22572920%22%20data-d%3D%22639%22%3E%20about%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22576760%22%20data-d%3D%22759%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22578200%22%20data-d%3D%22679%22%3E%20position%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22579040%22%20data-d%3D%22280%22%3E%20where%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22579360%22%20data-d%3D%22159%22%3E%20it%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22579520%22%20data-d%3D%22360%22%3E%20is%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22579960%22%20data-d%3D%22240%22%3E%20on%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22580240%22%20data-d%3D%22159%22%3E%20this%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22580400%22%20data-d%3D%22200%22%3E%20Y%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22580640%22%20data-d%3D%22279%22%3E%20scale%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22580920%22%20data-d%3D%22600%22%3E%20here.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A09%3A42%22%3E%3CSPAN%20data-m%3D%22582440%22%20data-d%3D%22439%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22582960%22%20data-d%3D%22199%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22583160%22%20data-d%3D%22480%22%3E%20need%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22583760%22%20data-d%3D%22480%22%3E%20something%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22584280%22%20data-d%3D%22320%22%3E%20else%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22584640%22%20data-d%3D%22200%22%3E%20which%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22584880%22%20data-d%3D%22200%22%3E%20takes%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22585120%22%20data-d%3D%22320%22%3E%20care%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22585520%22%20data-d%3D%22279%22%3E%20about%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22585840%22%20data-d%3D%22199%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22586040%22%20data-d%3D%22360%22%3E%20shape%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22586400%22%20data-d%3D%22159%22%3E%20of%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22586600%22%20data-d%3D%22159%22%3E%20this%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22586800%22%20data-d%3D%22680%22%3E%20curve.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A09%3A50%22%3E%3CSPAN%20data-m%3D%22590120%22%20data-d%3D%22399%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22590560%22%20data-d%3D%22200%22%3E%20when%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22590760%22%20data-d%3D%22200%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22591000%22%20data-d%3D%22519%22%3E%20tested%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22591600%22%20data-d%3D%22399%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22592080%22%20data-d%3D%22439%22%3E%20FDE%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22592600%22%20data-d%3D%22199%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22592840%22%20data-d%3D%22279%22%3E%20function%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22593200%22%20data-d%3D%22240%22%3E%20Data%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22593520%22%20data-d%3D%22680%22%3E%20explorers%2C%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A09%3A54%22%3E%3CSPAN%20data-m%3D%22594320%22%20data-d%3D%22279%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22594600%22%20data-d%3D%22120%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22594760%22%20data-d%3D%22159%22%3E%20first%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22594960%22%20data-d%3D%22159%22%3E%20good%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22595160%22%20data-d%3D%22200%22%3E%20news%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22595400%22%20data-d%3D%22639%22%3E%20is%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22596840%22%20data-d%3D%22319%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22597160%22%20data-d%3D%22200%22%3E%20can%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22597360%22%20data-d%3D%22600%22%3E%20just%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22599240%22%20data-d%3D%22360%22%3E%20take%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22599640%22%20data-d%3D%22159%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22599840%22%20data-d%3D%22199%22%3E%20long%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22600120%22%20data-d%3D%22320%22%3E%20table%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22600520%22%20data-d%3D%22200%22%3E%20like%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22600760%22%20data-d%3D%22560%22%3E%20is.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A10%3A01%22%3E%3CSPAN%20data-m%3D%22601480%22%20data-d%3D%22319%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22601840%22%20data-d%3D%22279%22%3E%20there's%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22602160%22%20data-d%3D%22160%22%3E%20no%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22602360%22%20data-d%3D%22159%22%3E%20need%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22602560%22%20data-d%3D%22200%22%3E%20for%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22602760%22%20data-d%3D%22240%22%3E%20data%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22603040%22%20data-d%3D%22840%22%3E%20transformation%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A10%3A03%22%3E%3CSPAN%20data-m%3D%22603960%22%20data-d%3D%22279%22%3Eor%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22604280%22%20data-d%3D%22399%22%3E%20bringing%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22604720%22%20data-d%3D%22240%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22605040%22%20data-d%3D%22320%22%3E%20different%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22605400%22%20data-d%3D%22279%22%3E%20time%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22605760%22%20data-d%3D%22399%22%3E%20points%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22606280%22%20data-d%3D%22680%22%3E%20on%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22607520%22%20data-d%3D%22360%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22607920%22%20data-d%3D%22600%22%3E%20same%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22609560%22%20data-d%3D%22440%22%3E%20slot%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22610040%22%20data-d%3D%22519%22%3E%20number%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22610720%22%20data-d%3D%22240%22%3E%20or%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22611000%22%20data-d%3D%22360%22%3E%20whatever.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A10%3A11%22%3E%3CSPAN%20data-m%3D%22611440%22%20data-d%3D%22679%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22612480%22%20data-d%3D%22360%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22612840%22%20data-d%3D%22240%22%3E%20just%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22613120%22%20data-d%3D%22240%22%3E%20take%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22613400%22%20data-d%3D%22360%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22613880%22%20data-d%3D%22279%22%3E%20raw%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22614200%22%20data-d%3D%22319%22%3E%20data%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22614600%22%20data-d%3D%22240%22%3E%20like%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22614880%22%20data-d%3D%22159%22%3E%20they%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22615040%22%20data-d%3D%22560%22%3E%20are.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A10%3A15%22%3E%3CSPAN%20data-m%3D%22615720%22%20data-d%3D%22439%22%3EPerhaps%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22616200%22%20data-d%3D%22159%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22616400%22%20data-d%3D%22159%22%3E%20want%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22616600%22%20data-d%3D%22559%22%3E%20exclude%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22617200%22%20data-d%3D%22240%22%3E%20some%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22617520%22%20data-d%3D%22320%22%3E%20real%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22617920%22%20data-d%3D%22520%22%3E%20outliers%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22618520%22%20data-d%3D%22200%22%3E%20where%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22618760%22%20data-d%3D%22480%22%3E%20there's%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22619280%22%20data-d%3D%22200%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22619520%22%20data-d%3D%22320%22%3E%20machine%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A10%3A19%22%3E%3CSPAN%20data-m%3D%22619880%22%20data-d%3D%22639%22%3Ehas%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22620680%22%20data-d%3D%22400%22%3E%20given%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22621160%22%20data-d%3D%22200%22%3E%20wrong%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22621400%22%20data-d%3D%22240%22%3E%20numbers%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22621720%22%20data-d%3D%22120%22%3E%20or%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22621880%22%20data-d%3D%22560%22%3E%20whatever.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A10%3A22%22%3E%3CSPAN%20data-m%3D%22622600%22%20data-d%3D%22480%22%3Ebut%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22623160%22%20data-d%3D%22240%22%3E%20Alles%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22623400%22%20data-d%3D%22159%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22623600%22%20data-d%3D%22159%22%3E%20other%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22623800%22%20data-d%3D%22240%22%3E%20stuff%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22624120%22%20data-d%3D%22159%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22624280%22%20data-d%3D%22279%22%3E%20can%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22624640%22%20data-d%3D%22240%22%3E%20just%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22624960%22%20data-d%3D%22679%22%3E%20take%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22625840%22%20data-d%3D%22319%22%3E%20like%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22626160%22%20data-d%3D%22680%22%3E%20is%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A10%3A27%22%3E%3CSPAN%20data-m%3D%22627040%22%20data-d%3D%22320%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22627400%22%20data-d%3D%22320%22%3E%20.%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22627800%22%20data-d%3D%22320%22%3E%20maybe%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22628160%22%20data-d%3D%22120%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22628280%22%20data-d%3D%22120%22%3E%20don't%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22628440%22%20data-d%3D%22119%22%3E%20want%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22628600%22%20data-d%3D%2279%22%3E%20to%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22628720%22%20data-d%3D%2279%22%3E%20do%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22628840%22%20data-d%3D%22120%22%3E%20it%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22629000%22%20data-d%3D%22120%22%3E%20on%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22629120%22%20data-d%3D%22120%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22629240%22%20data-d%3D%22919%22%3E%20transformation%20or%20something.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A10%3A30%22%3E%3CSPAN%20data-m%3D%22630280%22%20data-d%3D%222720%22%3EIt's%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22633000%22%20data-d%3D%22360%22%3E%20not%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22633480%22%20data-d%3D%22279%22%3E%20really%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22633840%22%20data-d%3D%22679%22%3E%20necessary.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A10%3A34%22%3E%3CSPAN%20data-m%3D%22634640%22%20data-d%3D%22279%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22634920%22%20data-d%3D%22160%22%3E%20in%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22635120%22%20data-d%3D%22159%22%3E%20this%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22635280%22%20data-d%3D%22240%22%3E%20case%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22635560%22%20data-d%3D%22160%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22635720%22%20data-d%3D%22159%22%3E%20have%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22635880%22%20data-d%3D%22200%22%3E%20just%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22636120%22%20data-d%3D%22200%22%3E%20taken%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22636360%22%20data-d%3D%22120%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22636520%22%20data-d%3D%22159%22%3E%20raw%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22636720%22%20data-d%3D%22480%22%3E%20data%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22637360%22%20data-d%3D%22240%22%3E%20like%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22637640%22%20data-d%3D%22120%22%3E%20they%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22637760%22%20data-d%3D%22560%22%3E%20are.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A10%3A38%22%3E%3CSPAN%20data-m%3D%22638760%22%20data-d%3D%22759%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22639720%22%20data-d%3D%22439%22%3E%20starting%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22640240%22%20data-d%3D%22279%22%3E%20doing%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22640600%22%20data-d%3D%22159%22%3E%20at%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22640800%22%20data-d%3D%22400%22%3E%20FDE%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22641280%22%20data-d%3D%22200%22%3E%20on%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22641480%22%20data-d%3D%22639%22%3E%20this%2C%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A10%3A42%22%3E%3CSPAN%20data-m%3D%22642320%22%20data-d%3D%22319%22%3Ewe%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22642640%22%20data-d%3D%22200%22%3E%20lake%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22642880%22%20data-d%3D%22240%22%3E%20here%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22643160%22%20data-d%3D%22360%22%3E%20again%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22643640%22%20data-d%3D%22240%22%3E%20our%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22643920%22%20data-d%3D%22360%22%3E%20pressure%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22644320%22%20data-d%3D%22199%22%3E%20time%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22644560%22%20data-d%3D%22360%22%3E%20curve%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22644920%22%20data-d%3D%22200%22%3E%20like%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22645120%22%20data-d%3D%22240%22%3E%20we've%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22645360%22%20data-d%3D%22199%22%3E%20seen%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22645600%22%20data-d%3D%22159%22%3E%20them%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22645760%22%20data-d%3D%22600%22%3E%20before%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A10%3A47%22%3E%3CSPAN%20data-m%3D%22647040%22%20data-d%3D%22360%22%3Ebut%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22647440%22%20data-d%3D%22239%22%3E%20now%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22647760%22%20data-d%3D%22159%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22647960%22%20data-d%3D%22199%22%3E%20lake%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22648240%22%20data-d%3D%22600%22%3E%20thesis%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22649760%22%20data-d%3D%22399%22%3E%20blue%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22650200%22%20data-d%3D%22519%22%3E%20verticals%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22650760%22%20data-d%3D%22600%22%3E%20here%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A10%3A51%22%3E%3CSPAN%20data-m%3D%22651520%22%20data-d%3D%22360%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22651960%22%20data-d%3D%22199%22%3E%20thesis%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22652200%22%20data-d%3D%22199%22%3E%20blue%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22652440%22%20data-d%3D%22519%22%3E%20verticals%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22653040%22%20data-d%3D%22840%22%3E%20represent%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22654040%22%20data-d%3D%22320%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22654400%22%20data-d%3D%22279%22%3E%20number%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22654760%22%20data-d%3D%22200%22%3E%20of%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22655000%22%20data-d%3D%22480%22%3E%20knots%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A10%3A55%22%3E%3CSPAN%20data-m%3D%22655600%22%20data-d%3D%22240%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22655880%22%20data-d%3D%22120%22%3E%20what%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22656000%22%20data-d%3D%22159%22%3E%20is%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22656160%22%20data-d%3D%22120%22%3E%20a%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22656320%22%20data-d%3D%22599%22%3E%20knot%3F%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A10%3A57%22%3E%3CSPAN%20data-m%3D%22657120%22%20data-d%3D%22320%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22657480%22%20data-d%3D%22120%22%3E%20here%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22657640%22%20data-d%3D%2280%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22657760%22%20data-d%3D%22120%22%3E%20are%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22657920%22%20data-d%3D%22280%22%3E%20fitting%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22658200%22%20data-d%3D%22159%22%3E%20a%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22658400%22%20data-d%3D%22320%22%3E%20spline%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22658760%22%20data-d%3D%22480%22%3E%20curve.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A10%3A59%22%3E%3CSPAN%20data-m%3D%22659320%22%20data-d%3D%22199%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22659520%22%20data-d%3D%22120%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22659680%22%20data-d%3D%22240%22%3E%20spline%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22660000%22%20data-d%3D%22279%22%3E%20curve%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22660280%22%20data-d%3D%22399%22%3E%20is%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22660760%22%20data-d%3D%22320%22%3E%20let's%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22661080%22%20data-d%3D%22240%22%3E%20say%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22661360%22%20data-d%3D%22159%22%3E%20if%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22661520%22%20data-d%3D%22159%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22661680%22%20data-d%3D%22200%22%3E%20take%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22661920%22%20data-d%3D%22120%22%3E%20a%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22662080%22%20data-d%3D%22719%22%3E%20ruler%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A11%3A03%22%3E%3CSPAN%20data-m%3D%22663960%22%20data-d%3D%22360%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22664320%22%20data-d%3D%22159%22%3E%20then%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22664520%22%20data-d%3D%22120%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22664640%22%20data-d%3D%22120%22%3E%20want%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22664760%22%20data-d%3D%22120%22%3E%20to%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22664880%22%20data-d%3D%22120%22%3E%20make%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22665000%22%20data-d%3D%22120%22%3E%20it%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22665120%22%20data-d%3D%22120%22%3E%20a%20bit%20more%20flexible%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A11%3A06%22%3E%3CSPAN%20data-m%3D%22666040%22%20data-d%3D%22200%22%3Eto%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22666280%22%20data-d%3D%22240%22%3E%20bend%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22666520%22%20data-d%3D%22200%22%3E%20it%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22666760%22%20data-d%3D%22480%22%3E%20onto%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22667320%22%20data-d%3D%22239%22%3E%20Alles%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22667600%22%20data-d%3D%22240%22%3E%20thesis%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22667920%22%20data-d%3D%22240%22%3E%20different%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22668200%22%20data-d%3D%22719%22%3E%20curves%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A11%3A12%22%3E%3CSPAN%20data-m%3D%22672880%22%20data-d%3D%22360%22%3Eor%2C%20let's%20say%2C%20to%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22673240%22%20data-d%3D%22279%22%3E%20adjust%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22673600%22%20data-d%3D%22319%22%3E%20it%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22674000%22%20data-d%3D%22200%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22674200%22%20data-d%3D%22279%22%3E%20best%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22674520%22%20data-d%3D%22320%22%3E%20way%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22674880%22%20data-d%3D%22200%22%3E%20to%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22675120%22%20data-d%3D%22159%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22675280%22%20data-d%3D%22600%22%3E%20data.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A11%3A16%22%3E%3CSPAN%20data-m%3D%22676040%22%20data-d%3D%22320%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22676360%22%20data-d%3D%22199%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22676600%22%20data-d%3D%22600%22%3E%20more%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22677920%22%20data-d%3D%22759%22%3E%20not%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22679120%22%20data-d%3D%22519%22%3E%20this%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22679720%22%20data-d%3D%22439%22%3E%20ruler%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22680200%22%20data-d%3D%22199%22%3E%20has%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22680440%22%20data-d%3D%22159%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22680640%22%20data-d%3D%22159%22%3E%20more%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22680800%22%20data-d%3D%22440%22%3E%20flexible%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22681320%22%20data-d%3D%22199%22%3E%20it%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22681520%22%20data-d%3D%22279%22%3E%20is.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A11%3A21%22%3E%3CSPAN%20data-m%3D%22681840%22%20data-d%3D%22199%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22682080%22%20data-d%3D%22199%22%3E%20so%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22682360%22%20data-d%3D%22199%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22682600%22%20data-d%3D%22199%22%3E%20better%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22682840%22%20data-d%3D%22159%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22683040%22%20data-d%3D%22160%22%3E%20can%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22683240%22%20data-d%3D%22399%22%3E%20adjust%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22683720%22%20data-d%3D%22199%22%3E%20Alles%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22683920%22%20data-d%3D%22520%22%3E%20thesis%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22684600%22%20data-d%3D%22399%22%3E%20different%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22685080%22%20data-d%3D%22719%22%3E%20points.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A11%3A26%22%3E%3CSPAN%20data-m%3D%22686000%22%20data-d%3D%22559%22%3EHere%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22686680%22%20data-d%3D%22280%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22687040%22%20data-d%3D%22360%22%3E%20used%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22687520%22%20data-d%3D%22399%22%3E%20thesis%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22688000%22%20data-d%3D%22320%22%3E%2020%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22688400%22%20data-d%3D%22399%22%3E%20knots%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22688880%22%20data-d%3D%22399%22%3E%20thing.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A11%3A29%22%3E%3CSPAN%20data-m%3D%22689360%22%20data-d%3D%22199%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22689600%22%20data-d%3D%22199%22%3E%20thesis%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22689800%22%20data-d%3D%22120%22%3E%20are%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22689960%22%20data-d%3D%22240%22%3E%2020%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22690240%22%20data-d%3D%22519%22%3E%20verticals%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22690760%22%20data-d%3D%22600%22%3E%20here%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22691520%22%20data-d%3D%22519%22%3E%20other%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22692120%22%20data-d%3D%22360%22%3E%20here%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22692520%22%20data-d%3D%22200%22%3E%20with%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22692760%22%20data-d%3D%22159%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22692920%22%20data-d%3D%22480%22%3E%20basic%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22693480%22%20data-d%3D%22399%22%3E%20information%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22694000%22%20data-d%3D%22960%22%3E%20criteria%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A11%3A35%22%3E%3CSPAN%20data-m%3D%22695120%22%20data-d%3D%22320%22%3Eyou%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22695440%22%20data-d%3D%22199%22%3E%20lake%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22695680%22%20data-d%3D%22360%22%3E%20that%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22696160%22%20data-d%3D%22240%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22696400%22%20data-d%3D%22279%22%3E%20get%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22696720%22%20data-d%3D%22240%22%3E%20on%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22697000%22%20data-d%3D%22360%22%3E%20Alles%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22697440%22%20data-d%3D%22639%22%3E%20different%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22698520%22%20data-d%3D%22639%22%3E%20functions.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A11%3A39%22%3E%3CSPAN%20data-m%3D%22699160%22%20data-d%3D%22160%22%3Ewe%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22699360%22%20data-d%3D%22559%22%3E%20get%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22701800%22%20data-d%3D%22320%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22702120%22%20data-d%3D%22480%22%3E%20%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22702680%22%20data-d%3D%221120%22%3E%20BIC's.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A11%3A44%22%3E%3CSPAN%20data-m%3D%22704000%22%20data-d%3D%22320%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22704360%22%20data-d%3D%22279%22%3E%20just%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22704720%22%20data-d%3D%22319%22%3E%20have%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22705120%22%20data-d%3D%22200%22%3E%20at%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22705360%22%20data-d%3D%22360%22%3E%20optical%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22705800%22%20data-d%3D%22320%22%3E%20control%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22706200%22%20data-d%3D%22199%22%3E%20on%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22706440%22%20data-d%3D%22159%22%3E%20this%2C%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A11%3A46%22%3E%3CSPAN%20data-m%3D%22706640%22%20data-d%3D%22200%22%3Eyou%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22706840%22%20data-d%3D%22199%22%3E%20lake%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22707080%22%20data-d%3D%22120%22%3E%20on%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22707240%22%20data-d%3D%22200%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22707480%22%20data-d%3D%22240%22%3E%20lower%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22707800%22%20data-d%3D%22400%22%3E%20left%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22708320%22%20data-d%3D%22239%22%3E%20Alles%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22708600%22%20data-d%3D%22159%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22708760%22%20data-d%3D%22240%22%3E%20data%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22709040%22%20data-d%3D%22400%22%3E%20points%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22709520%22%20data-d%3D%22639%22%3E%20separated%20out%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A11%3A50%22%3E%3CSPAN%20data-m%3D%22710800%22%20data-d%3D%22200%22%3Efor%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22711040%22%20data-d%3D%22120%22%3E%20Alles%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22711200%22%20data-d%3D%22120%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22711360%22%20data-d%3D%22399%22%3E%20different%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22711880%22%20data-d%3D%22360%22%3E%20curves%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22712280%22%20data-d%3D%22519%22%3E%20here%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22712920%22%20data-d%3D%22280%22%3E%20other%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22713240%22%20data-d%3D%22200%22%3E%20with%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22713440%22%20data-d%3D%22599%22%3E%20a%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22714400%22%20data-d%3D%22360%22%3E%20red%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22714800%22%20data-d%3D%22240%22%3E%20line%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22715120%22%20data-d%3D%22159%22%3E%20on%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22715320%22%20data-d%3D%22159%22%3E%20Top%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22715480%22%20data-d%3D%22159%22%3E%20of%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22715680%22%20data-d%3D%22440%22%3E%20it%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A11%3A56%22%3E%3CSPAN%20data-m%3D%22716240%22%20data-d%3D%22840%22%3Erepresenting%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22717120%22%20data-d%3D%22639%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22718360%22%20data-d%3D%22480%22%3E%20spline%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22718880%22%20data-d%3D%22279%22%3E%20curve%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22719200%22%20data-d%3D%22159%22%3E%20which%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22719400%22%20data-d%3D%22120%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22719520%22%20data-d%3D%22759%22%3E%20fitted.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A12%3A02%22%3E%3CSPAN%20data-m%3D%22722840%22%20data-d%3D%22319%22%3Eit%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22723160%22%20data-d%3D%22200%22%3E%20doesn't%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22723400%22%20data-d%3D%22240%22%3E%20matter%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22723720%22%20data-d%3D%22279%22%3E%20if%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22724080%22%20data-d%3D%22199%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22724280%22%20data-d%3D%22279%22%3E%20curve%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22724640%22%20data-d%3D%22240%22%3E%20is%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22724920%22%20data-d%3D%22240%22%3E%20pretty%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22725240%22%20data-d%3D%22559%22%3E%20straightforward%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A12%3A05%22%3E%3CSPAN%20data-m%3D%22725880%22%20data-d%3D%22200%22%3ELike%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22726120%22%20data-d%3D%22279%22%3E%20here%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22726480%22%20data-d%3D%22199%22%3E%20or%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22726720%22%20data-d%3D%22199%22%3E%20has%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22726960%22%20data-d%3D%22199%22%3E%20more%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22727200%22%20data-d%3D%22319%22%3E%20edges%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22727560%22%20data-d%3D%22200%22%3E%20or%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22727760%22%20data-d%3D%22560%22%3E%20whatever%2C%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A12%3A08%22%3E%3CSPAN%20data-m%3D%22728480%22%20data-d%3D%22399%22%3Eit's%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22728880%22%20data-d%3D%22600%22%3E%20perfectly%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22729520%22%20data-d%3D%22519%22%3E%20aligned.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A12%3A10%22%3E%3CSPAN%20data-m%3D%22730080%22%20data-d%3D%22599%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22731080%22%20data-d%3D%22360%22%3E%20just%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22731480%22%20data-d%3D%22600%22%3E%20optically%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22732240%22%20data-d%3D%22240%22%3E%20it%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22732520%22%20data-d%3D%22200%22%3E%20looks%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22732800%22%20data-d%3D%22200%22%3E%20very%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22733040%22%20data-d%3D%22560%22%3E%20good.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A12%3A13%22%3E%3CSPAN%20data-m%3D%22733760%22%20data-d%3D%22440%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22734280%22%20data-d%3D%22200%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22734480%22%20data-d%3D%22199%22%3E%20can%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22734720%22%20data-d%3D%22240%22%3E%20so%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22735000%22%20data-d%3D%22200%22%3E%20check%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22735240%22%20data-d%3D%22240%22%3E%20that%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22735560%22%20data-d%3D%22120%22%3E%20with%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22735720%22%20data-d%3D%22120%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22735880%22%20data-d%3D%22560%22%3E%20diagnostic%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22736440%22%20data-d%3D%22639%22%3E%20plots.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A12%3A17%22%3E%3CSPAN%20data-m%3D%22737240%22%20data-d%3D%22279%22%3Efor%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22737560%22%20data-d%3D%22320%22%3E%20example%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22737960%22%20data-d%3D%22319%22%3E%20here%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22738360%22%20data-d%3D%22199%22%3E%20this%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22738560%22%20data-d%3D%22280%22%3E%20blind%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22738840%22%20data-d%3D%22319%22%3E%20curve%2C%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A12%3A19%22%3E%3CSPAN%20data-m%3D%22739160%22%20data-d%3D%22200%22%3Ethe%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22739400%22%20data-d%3D%22720%22%3E%20predicted%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22740280%22%20data-d%3D%22680%22%3E%20values%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22741040%22%20data-d%3D%22400%22%3E%20are%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22741520%22%20data-d%3D%22560%22%3E%20displayed%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22742120%22%20data-d%3D%22279%22%3E%20versus%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22742440%22%20data-d%3D%22199%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22742640%22%20data-d%3D%22279%22%3E%20actually%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22742960%22%20data-d%3D%22279%22%3E%20ones.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A12%3A23%22%3E%3CSPAN%20data-m%3D%22743280%22%20data-d%3D%22160%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22743440%22%20data-d%3D%22159%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22743600%22%20data-d%3D%22480%22%3E%20lake%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22744240%22%20data-d%3D%22200%22%3E%20they%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22744480%22%20data-d%3D%22159%22%3E%20are%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22744680%22%20data-d%3D%22480%22%3E%20perfectly%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22745200%22%20data-d%3D%22479%22%3E%20aligned%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22745760%22%20data-d%3D%22240%22%3E%20around%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22746040%22%20data-d%3D%22200%22%3E%20thesis%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22746280%22%20data-d%3D%22560%22%3E%2045%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22746880%22%20data-d%3D%221480%22%3E%20degree%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22748520%22%20data-d%3D%22360%22%3E%20line%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22748920%22%20data-d%3D%22560%22%3E%20here.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A12%3A29%22%3E%3CSPAN%20data-m%3D%22749640%22%20data-d%3D%22360%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22750080%22%20data-d%3D%22240%22%3E%20so%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22750360%22%20data-d%3D%22199%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22750560%22%20data-d%3D%22640%22%3E%20residuals%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22751200%22%20data-d%3D%22199%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22751400%22%20data-d%3D%22200%22%3E%20ones%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22751640%22%20data-d%3D%22240%22%3E%20are%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22751920%22%20data-d%3D%22200%22%3E%20left%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22752120%22%20data-d%3D%22159%22%3E%20other%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22752320%22%20data-d%3D%22159%22%3E%20right%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22752520%22%20data-d%3D%22440%22%3E%20here%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A12%3A33%22%3E%3CSPAN%20data-m%3D%22753080%22%20data-d%3D%22240%22%3Efrom%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22753360%22%20data-d%3D%22199%22%3E%20this%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22753560%22%20data-d%3D%22440%22%3E%20prediction%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22754040%22%20data-d%3D%22639%22%3E%20line%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22754840%22%20data-d%3D%22279%22%3E%20they%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22755160%22%20data-d%3D%22160%22%3E%20are%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22755360%22%20data-d%3D%22240%22%3E%20pretty%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22755640%22%20data-d%3D%22399%22%3E%20small%2C%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A12%3A36%22%3E%3CSPAN%20data-m%3D%22756120%22%20data-d%3D%22559%22%3Eso%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22756840%22%20data-d%3D%22519%22%3E%20there's%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22757440%22%20data-d%3D%22239%22%3E%20not%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22757720%22%20data-d%3D%22120%22%3E%20a%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22757840%22%20data-d%3D%22159%22%3E%20lot%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22758000%22%20data-d%3D%22279%22%3E%20of%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22758320%22%20data-d%3D%22319%22%3E%20error%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22758720%22%20data-d%3D%22439%22%3E%20left%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22759280%22%20data-d%3D%22279%22%3E%20which%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22759560%22%20data-d%3D%22160%22%3E%20is%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22759760%22%20data-d%3D%22159%22%3E%20not%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22759960%22%20data-d%3D%22679%22%3E%20represented%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22760680%22%20data-d%3D%22360%22%3E%20by%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22761120%22%20data-d%3D%22279%22%3E%20this%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22761480%22%20data-d%3D%22840%22%3E%20bare.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A12%3A42%22%3E%3CSPAN%20data-m%3D%22762480%22%20data-d%3D%22319%22%3ESo%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22762840%22%20data-d%3D%22360%22%3E%20fit%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22763240%22%20data-d%3D%22360%22%3E%20looks%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22763680%22%20data-d%3D%22400%22%3E%20really%2C%20really%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22764160%22%20data-d%3D%22840%22%3E%20excellent%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A12%3A46%22%3E%3CSPAN%20data-m%3D%22766480%22%20data-d%3D%22399%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22766920%22%20data-d%3D%22160%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22767080%22%20data-d%3D%22159%22%3E%20have%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22767240%22%20data-d%3D%22240%22%3E%20not%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22767520%22%20data-d%3D%22360%22%3E%20taking%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22767960%22%20data-d%3D%22639%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22769240%22%20data-d%3D%22720%22%3E%20parameters%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22770040%22%20data-d%3D%22200%22%3E%20for%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22770280%22%20data-d%3D%22480%22%3E%20this%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22770880%22%20data-d%3D%22720%22%3E%20split%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A12%3A51%22%3E%3CSPAN%20data-m%3D%22771760%22%20data-d%3D%22320%22%3Esorry%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22772160%22%20data-d%3D%22160%22%3E%20for%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22772360%22%20data-d%3D%22159%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22772520%22%20data-d%3D%22639%22%3E%20spline%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22773480%22%20data-d%3D%22480%22%3E%20other%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22774040%22%20data-d%3D%22240%22%3E%20did%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22774320%22%20data-d%3D%22599%22%3E%20a%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22775080%22%20data-d%3D%22959%22%3E%20functional%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22776240%22%20data-d%3D%22879%22%3E%20FDE.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A12%3A58%22%3E%3CSPAN%20data-m%3D%22778360%22%20data-d%3D%22600%22%3EWell%2C%20I'm%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22779040%22%20data-d%3D%22360%22%3E%20completely%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22779440%22%20data-d%3D%22439%22%3E%20confused%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22779920%22%20data-d%3D%22440%22%3E%20today.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A13%3A00%22%3E%3CSPAN%20data-m%3D%22780480%22%20data-d%3D%22240%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22780760%22%20data-d%3D%22159%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22780920%22%20data-d%3D%22240%22%3E%20did%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22781200%22%20data-d%3D%22559%22%3E%20a%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22781880%22%20data-d%3D%22519%22%3E%20principal%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22782400%22%20data-d%3D%22440%22%3E%20component%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22782880%22%20data-d%3D%22480%22%3E%20analysis%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22783360%22%20data-d%3D%22159%22%3E%20on%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22783520%22%20data-d%3D%22560%22%3E%20thesis.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A13%3A04%22%3E%3CSPAN%20data-m%3D%22784400%22%20data-d%3D%22360%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22784760%22%20data-d%3D%22159%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22784960%22%20data-d%3D%22599%22%3E%20separated%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22785640%22%20data-d%3D%22200%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22785880%22%20data-d%3D%22799%22%3E%20eigenvalues%2C%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A13%3A06%22%3E%3CSPAN%20data-m%3D%22786760%22%20data-d%3D%22200%22%3Ewhich%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22787000%22%20data-d%3D%22120%22%3E%20is%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22787120%22%20data-d%3D%22159%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22787280%22%20data-d%3D%22320%22%3E%20weighing%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22787640%22%20data-d%3D%22360%22%3E%20factors%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22788040%22%20data-d%3D%22200%22%3E%20other%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22788240%22%20data-d%3D%22120%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22788400%22%20data-d%3D%22360%22%3E%20own%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22788760%22%20data-d%3D%22480%22%3E%20functions%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A13%3A09%22%3E%3CSPAN%20data-m%3D%22789240%22%20data-d%3D%22159%22%3Efor%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22789400%22%20data-d%3D%22159%22%3E%20each%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22789560%22%20data-d%3D%22120%22%3E%20of%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22789720%22%20data-d%3D%22159%22%3E%20thesis%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22789920%22%20data-d%3D%22639%22%3E%20curves.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A13%3A14%22%3E%3CSPAN%20data-m%3D%22794240%22%20data-d%3D%22319%22%3EThen%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22794600%22%20data-d%3D%22439%22%3E%20can%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22795160%22%20data-d%3D%22480%22%3E%20screen%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22795720%22%20data-d%3D%22279%22%3E%20them%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22796040%22%20data-d%3D%22400%22%3E%20on%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22796520%22%20data-d%3D%22440%22%3E%20a%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22797080%22%20data-d%3D%22639%22%3E%20scoreboard.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A13%3A17%22%3E%3CSPAN%20data-m%3D%22797760%22%20data-d%3D%22240%22%3EHere%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22798040%22%20data-d%3D%22519%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22798680%22%20data-d%3D%22920%22%3E%20eigenvalues%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22799640%22%20data-d%3D%22200%22%3E%20for%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22799880%22%20data-d%3D%22159%22%3E%20each%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22800080%22%20data-d%3D%22199%22%3E%20of%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22800280%22%20data-d%3D%22200%22%3E%20thesis%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22800520%22%20data-d%3D%22680%22%3E%20curves.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A13%3A21%22%3E%3CSPAN%20data-m%3D%22801400%22%20data-d%3D%22600%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22802120%22%20data-d%3D%22279%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22802440%22%20data-d%3D%22159%22%3E%20lake%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22802640%22%20data-d%3D%22159%22%3E%20here%2C%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A13%3A22%22%3E%3CSPAN%20data-m%3D%22802840%22%20data-d%3D%22240%22%3Eagain%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22803160%22%20data-d%3D%22160%22%3E%20with%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22803360%22%20data-d%3D%22120%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22803480%22%20data-d%3D%22439%22%3E%20BIC%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22804000%22%20data-d%3D%22320%22%3E%20credit%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22804400%22%20data-d%3D%22840%22%3E%20criteria%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A13%3A25%22%3E%3CSPAN%20data-m%3D%22805400%22%20data-d%3D%22279%22%3Eyou%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22805680%22%20data-d%3D%22200%22%3E%20lake%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22805920%22%20data-d%3D%22200%22%3E%20how%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22806160%22%20data-d%3D%22600%22%3E%20many%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22807240%22%20data-d%3D%22639%22%3E%20numbers%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22808000%22%20data-d%3D%22399%22%3E%20of%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22808480%22%20data-d%3D%22480%22%3E%20functional%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22809040%22%20data-d%3D%22400%22%3E%20principle%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A13%3A29%22%3E%3CSPAN%20data-m%3D%22809520%22%20data-d%3D%22519%22%3Ecomponents%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22810040%22%20data-d%3D%22200%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22810280%22%20data-d%3D%22360%22%3E%20should%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22810720%22%20data-d%3D%22559%22%3E%20optimally%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22811360%22%20data-d%3D%22279%22%3E%20use.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A13%3A31%22%3E%3CSPAN%20data-m%3D%22811720%22%20data-d%3D%22199%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22811920%22%20data-d%3D%22120%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22812080%22%20data-d%3D%22199%22%3E%20lake%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22812320%22%20data-d%3D%22159%22%3E%20is%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22812480%22%20data-d%3D%22159%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22812640%22%20data-d%3D%22320%22%3E%20minimum%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22813000%22%20data-d%3D%22200%22%3E%20with%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22813240%22%20data-d%3D%22279%22%3E%20two.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A13%3A33%22%3E%3CSPAN%20data-m%3D%22813560%22%20data-d%3D%22560%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22814280%22%20data-d%3D%22279%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22814560%22%20data-d%3D%22400%22%3E%20stayed%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22814960%22%20data-d%3D%22240%22%3E%20with%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22815280%22%20data-d%3D%22320%22%3E%20two%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22815680%22%20data-d%3D%22320%22%3E%20again%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22816080%22%20data-d%3D%22439%22%3E%20like%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22816640%22%20data-d%3D%22240%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22816920%22%20data-d%3D%22160%22%3E%20one%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22817080%22%20data-d%3D%22679%22%3E%20before%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A13%3A37%22%3E%3CSPAN%20data-m%3D%22817960%22%20data-d%3D%22319%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22818280%22%20data-d%3D%22160%22%3E%20now%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22818480%22%20data-d%3D%22159%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22818640%22%20data-d%3D%22159%22%3E%20have%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22818840%22%20data-d%3D%22199%22%3E%20this%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22819120%22%20data-d%3D%22240%22%3E%20score%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22819360%22%20data-d%3D%22439%22%3E%20board%2C%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A13%3A39%22%3E%3CSPAN%20data-m%3D%22819880%22%20data-d%3D%22240%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22820200%22%20data-d%3D%22159%22%3E%20it%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22820400%22%20data-d%3D%22200%22%3E%20looks%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22820680%22%20data-d%3D%22160%22%3E%20pretty%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22820880%22%20data-d%3D%22159%22%3E%20much%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22821080%22%20data-d%3D%22159%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22821240%22%20data-d%3D%22200%22%3E%20same%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22821520%22%20data-d%3D%22120%22%3E%20like%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22821680%22%20data-d%3D%2280%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22821800%22%20data-d%3D%22160%22%3E%20one%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22822000%22%20data-d%3D%22279%22%3E%20before%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A13%3A42%22%3E%3CSPAN%20data-m%3D%22822320%22%20data-d%3D%22199%22%3Ewe%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22822560%22%20data-d%3D%22160%22%3E%20have%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22822720%22%20data-d%3D%22600%22%3E%20here%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22823640%22%20data-d%3D%22279%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22823960%22%20data-d%3D%22279%22%3E%20center%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22824320%22%20data-d%3D%22599%22%3E%20part%2C%20the%20green%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22827560%22%20data-d%3D%22360%22%3E%20of%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22827920%22%20data-d%3D%22120%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22828080%22%20data-d%3D%22240%22%3E%20curves%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22828400%22%20data-d%3D%22159%22%3E%20which%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22828600%22%20data-d%3D%22159%22%3E%20are%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22828760%22%20data-d%3D%22480%22%3E%20well%2C%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A13%3A49%22%3E%3CSPAN%20data-m%3D%22829400%22%20data-d%3D%22759%22%3Esurrounded%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22830240%22%20data-d%3D%22200%22%3E%20by%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22830440%22%20data-d%3D%22119%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22830600%22%20data-d%3D%22159%22%3E%20red%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22830800%22%20data-d%3D%22280%22%3E%20ones%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22831120%22%20data-d%3D%22240%22%3E%20which%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22831400%22%20data-d%3D%22560%22%3E%20are%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22832120%22%20data-d%3D%22639%22%3E%20rejected%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22832760%22%20data-d%3D%22200%22%3E%20from%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22832960%22%20data-d%3D%22120%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22833120%22%20data-d%3D%22840%22%3E%20specialist.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A13%3A55%22%3E%3CSPAN%20data-m%3D%22835080%22%20data-d%3D%22360%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22835480%22%20data-d%3D%22319%22%3E%20now%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22835880%22%20data-d%3D%22600%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22836880%22%20data-d%3D%22560%22%3E%20saved%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22837440%22%20data-d%3D%22199%22%3E%20Alles%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22837640%22%20data-d%3D%22399%22%3E%20thesis%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22838160%22%20data-d%3D%22480%22%3E%20functional%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22838640%22%20data-d%3D%22279%22%3E%20prints%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A13%3A58%22%3E%3CSPAN%20data-m%3D%22838920%22%20data-d%3D%22160%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22839080%22%20data-d%3D%22639%22%3E%20components%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22839760%22%20data-d%3D%22680%22%3E%20other%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22840600%22%20data-d%3D%22360%22%3E%20built%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22841000%22%20data-d%3D%2280%22%3E%20a%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22841080%22%20data-d%3D%22559%22%3E%20T%20square%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22841640%22%20data-d%3D%22279%22%3E%20plot%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22841960%22%20data-d%3D%22159%22%3E%20on%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22842160%22%20data-d%3D%22560%22%3E%20it.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A14%3A03%22%3E%3CSPAN%20data-m%3D%22843120%22%20data-d%3D%22360%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22843520%22%20data-d%3D%22200%22%3E%20here%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22843760%22%20data-d%3D%22320%22%3E%20again%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22844160%22%20data-d%3D%22200%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22844360%22%20data-d%3D%22240%22%3E%20same%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22844640%22%20data-d%3D%22480%22%3E%20picture%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22845240%22%20data-d%3D%22279%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22845560%22%20data-d%3D%22600%22%3E%20square.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A14%3A06%22%3E%3CSPAN%20data-m%3D%22846520%22%20data-d%3D%22320%22%3EIf%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22846840%22%20data-d%3D%22159%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22847000%22%20data-d%3D%22279%22%3E%20take%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22847320%22%20data-d%3D%22359%22%3E%20Alles%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22847760%22%20data-d%3D%22279%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22848120%22%20data-d%3D%22279%22%3E%20data%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22848480%22%20data-d%3D%22600%22%3E%20points%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A14%3A09%22%3E%3CSPAN%20data-m%3D%22849960%22%20data-d%3D%22319%22%3Eto%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22850320%22%20data-d%3D%22439%22%3E%20calculate%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22850760%22%20data-d%3D%22200%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22850960%22%20data-d%3D%22279%22%3E%20control%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22851280%22%20data-d%3D%22720%22%3E%20limits%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22852160%22%20data-d%3D%22399%22%3E%20OK%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22852600%22%20data-d%3D%22360%22%3E%20then%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22853040%22%20data-d%3D%22480%22%3E%20besides%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22853520%22%20data-d%3D%22240%22%3E%20thesis%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22853840%22%20data-d%3D%22439%22%3E%20two%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22854400%22%20data-d%3D%22399%22%3E%20everything%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A14%3A14%22%3E%3CSPAN%20data-m%3D%22854880%22%20data-d%3D%22279%22%3Eis%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22855200%22%20data-d%3D%22599%22%3E%20part%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22857440%22%20data-d%3D%22399%22%3E%20is%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22857920%22%20data-d%3D%22160%22%3E%20in%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22858120%22%20data-d%3D%22559%22%3E%20control.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A14%3A19%22%3E%3CSPAN%20data-m%3D%22859120%22%20data-d%3D%22360%22%3Ebut%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22859480%22%20data-d%3D%22120%22%3E%20this%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22859640%22%20data-d%3D%2280%22%3E%20is%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22859760%22%20data-d%3D%22240%22%3E%20actually%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22860040%22%20data-d%3D%22200%22%3E%20not%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22860280%22%20data-d%3D%22120%22%3E%20what%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22860400%22%20data-d%3D%22159%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22860560%22%20data-d%3D%22160%22%3E%20want%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22860760%22%20data-d%3D%22120%22%3E%20to%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22860880%22%20data-d%3D%22159%22%3E%20have.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A14%3A21%22%3E%3CSPAN%20data-m%3D%22861040%22%20data-d%3D%22160%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22861240%22%20data-d%3D%22120%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22861360%22%20data-d%3D%22159%22%3E%20want%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22861520%22%20data-d%3D%22159%22%3E%20to%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22861720%22%20data-d%3D%22319%22%3E%20understand%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22862120%22%20data-d%3D%22240%22%3E%20what%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22862360%22%20data-d%3D%22159%22%3E%20is%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22862560%22%20data-d%3D%22600%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22863360%22%20data-d%3D%22480%22%3E%20normal%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22863920%22%20data-d%3D%22560%22%3E%20variation%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22864560%22%20data-d%3D%22160%22%3E%20of%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22864720%22%20data-d%3D%22159%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22864880%22%20data-d%3D%22200%22%3E%20good%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22865120%22%20data-d%3D%22600%22%3E%20ones%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A14%3A26%22%3E%3CSPAN%20data-m%3D%22866400%22%20data-d%3D%22519%22%3Eto%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22867000%22%20data-d%3D%22799%22%3E%20differentiate%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22867800%22%20data-d%3D%22240%22%3E%20them%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22868120%22%20data-d%3D%22279%22%3E%20from%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22868440%22%20data-d%3D%22639%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22869400%22%20data-d%3D%22759%22%3E%20variation%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22870240%22%20data-d%3D%22159%22%3E%20of%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22870440%22%20data-d%3D%2279%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22870560%22%20data-d%3D%22200%22%3E%20non%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22870760%22%20data-d%3D%22200%22%3E%20good%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22871000%22%20data-d%3D%22440%22%3E%20ones.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A14%3A31%22%3E%3CSPAN%20data-m%3D%22871560%22%20data-d%3D%22280%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22871880%22%20data-d%3D%22360%22%3E%20so%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22872320%22%20data-d%3D%22279%22%3E%20down%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22872680%22%20data-d%3D%22360%22%3E%20here%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22873160%22%20data-d%3D%22200%22%3E%20on%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22873360%22%20data-d%3D%22159%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22873520%22%20data-d%3D%22279%22%3E%20second%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22873840%22%20data-d%3D%22279%22%3E%20plot%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22874160%22%20data-d%3D%22519%22%3E%20here%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22874800%22%20data-d%3D%22240%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22875080%22%20data-d%3D%22519%22%3E%20calculated%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22875680%22%20data-d%3D%22160%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22875880%22%20data-d%3D%22279%22%3E%20control%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22876240%22%20data-d%3D%22759%22%3E%20limits%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A14%3A38%22%3E%3CSPAN%20data-m%3D%22878640%22%20data-d%3D%22399%22%3Eonly%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22879080%22%20data-d%3D%22159%22%3E%20from%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22879240%22%20data-d%3D%22159%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22879400%22%20data-d%3D%22200%22%3E%20good%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22879640%22%20data-d%3D%22600%22%3E%20ones.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A14%3A40%22%3E%3CSPAN%20data-m%3D%22880680%22%20data-d%3D%22320%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22881040%22%20data-d%3D%22160%22%3E%20then%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22881200%22%20data-d%3D%22159%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22881400%22%20data-d%3D%22159%22%3E%20lake%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22881600%22%20data-d%3D%22399%22%3E%20OK%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22882080%22%20data-d%3D%22479%22%3E%20nearly%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22882600%22%20data-d%3D%22679%22%3E%20Alles%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22883440%22%20data-d%3D%22839%22%3E%20red%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22884480%22%20data-d%3D%22519%22%3E%20curves%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22885040%22%20data-d%3D%22440%22%3E%20are%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22885560%22%20data-d%3D%22440%22%3E%20outside.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A14%3A46%22%3E%3CSPAN%20data-m%3D%22886040%22%20data-d%3D%22280%22%3EWe're%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22886360%22%20data-d%3D%22120%22%3E%20out%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22886520%22%20data-d%3D%22120%22%3E%20of%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22886680%22%20data-d%3D%22560%22%3E%20control.%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22887440%22%20data-d%3D%22319%22%3Ebut%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22887800%22%20data-d%3D%22120%22%3E%20there%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22887960%22%20data-d%3D%2279%22%3E%20are%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22888040%22%20data-d%3D%22320%22%3E%20two.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A14%3A48%22%3E%3CSPAN%20data-m%3D%22888440%22%20data-d%3D%22199%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22888640%22%20data-d%3D%22200%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22888880%22%20data-d%3D%22320%22%3E%20number%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22889280%22%20data-d%3D%2240%22%3E%2014%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22889360%22%20data-d%3D%2280%22%3E%20other%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22889440%22%20data-d%3D%22719%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22890160%22%20data-d%3D%22280%22%3E%20number%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22890520%22%20data-d%3D%22320%22%3E%20two%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22890880%22%20data-d%3D%22560%22%3E%20here%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22891600%22%20data-d%3D%22360%22%3E%20are%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22892040%22%20data-d%3D%22320%22%3E%20again%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22892440%22%20data-d%3D%22479%22%3E%20directly%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22892960%22%20data-d%3D%22120%22%3E%20on%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22893120%22%20data-d%3D%2280%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22893240%22%20data-d%3D%22799%22%3E%20borderline.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A14%3A54%22%3E%3CSPAN%20data-m%3D%22894520%22%20data-d%3D%22360%22%3Ebut%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22894880%22%20data-d%3D%22159%22%3E%20Alles%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22895040%22%20data-d%3D%22160%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22895200%22%20data-d%3D%22240%22%3E%20others%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22895520%22%20data-d%3D%22600%22%3E%20are%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22896320%22%20data-d%3D%22479%22%3E%20clearly%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22896840%22%20data-d%3D%22600%22%3E%20separated.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A14%3A57%22%3E%3CSPAN%20data-m%3D%22897520%22%20data-d%3D%22279%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22897880%22%20data-d%3D%22240%22%3E%20let's%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22898120%22%20data-d%3D%22120%22%3E%20have%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22898280%22%20data-d%3D%2240%22%3E%20a%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22898320%22%20data-d%3D%22159%22%3E%20look%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22898520%22%20data-d%3D%22159%22%3E%20on%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22898680%22%20data-d%3D%22160%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22898840%22%20data-d%3D%22199%22%3E%20two%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22899080%22%20data-d%3D%22199%22%3E%20other%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22899320%22%20data-d%3D%22639%22%3E%2014%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22900280%22%20data-d%3D%22360%22%3E%20which%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22900680%22%20data-d%3D%22640%22%3E%20curves%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22901480%22%20data-d%3D%22360%22%3E%20thesis%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22901880%22%20data-d%3D%22600%22%3E%20are.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A15%3A02%22%3E%3CSPAN%20data-m%3D%22902800%22%20data-d%3D%22360%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22903160%22%20data-d%3D%22160%22%3E%20then%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22903360%22%20data-d%3D%22159%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22903520%22%20data-d%3D%22200%22%3E%20lake%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22903760%22%20data-d%3D%22519%22%3E%20here.%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22904440%22%20data-d%3D%22559%22%3E%20Ah%20okay.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A15%3A05%22%3E%3CSPAN%20data-m%3D%22905120%22%20data-d%3D%22279%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22905440%22%20data-d%3D%22159%22%3E%20they%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22905640%22%20data-d%3D%22159%22%3E%20are%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22905840%22%20data-d%3D%22279%22%3E%20really%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22906200%22%20data-d%3D%22279%22%3E%20different%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22906560%22%20data-d%3D%22600%22%3E%20from%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22908320%22%20data-d%3D%22319%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22908640%22%20data-d%3D%22159%22%3E%20red%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22908840%22%20data-d%3D%22240%22%3E%20ones%2C%20that's%20clear.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A15%3A10%22%3E%3CSPAN%20data-m%3D%22910960%22%20data-d%3D%22439%22%3Ebut%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22911480%22%20data-d%3D%22600%22%3E%20so%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22912520%22%20data-d%3D%22360%22%3E%20child%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22912880%22%20data-d%3D%22200%22%3E%20of%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22913120%22%20data-d%3D%22279%22%3E%20different%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22913440%22%20data-d%3D%22399%22%3E%20from%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22913920%22%20data-d%3D%22280%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22914240%22%20data-d%3D%22519%22%3E%20majority%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22914840%22%20data-d%3D%22159%22%3E%20of%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22915000%22%20data-d%3D%22200%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22915280%22%20data-d%3D%22200%22%3E%20green%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22915520%22%20data-d%3D%22279%22%3E%20ones.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A15%3A15%22%3E%3CSPAN%20data-m%3D%22915840%22%20data-d%3D%22399%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22916360%22%20data-d%3D%22240%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22916600%22%20data-d%3D%22279%22%3E%20number%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22916920%22%20data-d%3D%22360%22%3E%20two%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22917360%22%20data-d%3D%22199%22%3E%20which%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22917600%22%20data-d%3D%22399%22%3E%20is%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22918080%22%20data-d%3D%22479%22%3E%20defined%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22918600%22%20data-d%3D%22159%22%3E%20like%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22918760%22%20data-d%3D%22240%22%3E%20being%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22919040%22%20data-d%3D%22600%22%3E%20true%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22919840%22%20data-d%3D%22279%22%3E%20is%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22920160%22%20data-d%3D%22160%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22920320%22%20data-d%3D%22279%22%3E%20one%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A15%3A20%22%3E%3CSPAN%20data-m%3D%22920640%22%20data-d%3D%22200%22%3Ewith%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22920880%22%20data-d%3D%22560%22%3E%20a%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22921640%22%20data-d%3D%22519%22%3E%20steeper%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22922200%22%20data-d%3D%22279%22%3E%20slope%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22922520%22%20data-d%3D%22200%22%3E%20here%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22922760%22%20data-d%3D%22279%22%3E%20.%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22923080%22%20data-d%3D%22159%22%3E%20to%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22923280%22%20data-d%3D%22160%22%3E%20Alles%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22923440%22%20data-d%3D%22119%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22923600%22%20data-d%3D%22199%22%3E%20other%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22923840%22%20data-d%3D%22199%22%3E%20green%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22924040%22%20data-d%3D%22200%22%3E%20ones%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22924280%22%20data-d%3D%22600%22%3E%20here.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A15%3A25%22%3E%3CSPAN%20data-m%3D%22925440%22%20data-d%3D%22439%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22925920%22%20data-d%3D%22200%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22926160%22%20data-d%3D%22240%22%3E%20number%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22926480%22%20data-d%3D%22480%22%3E%2014%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22927040%22%20data-d%3D%22320%22%3E%20is%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22927440%22%20data-d%3D%22199%22%3E%20this%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22927680%22%20data-d%3D%22200%22%3E%20guy%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22927920%22%20data-d%3D%22240%22%3E%20here%2C%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A15%3A28%22%3E%3CSPAN%20data-m%3D%22928240%22%20data-d%3D%22159%22%3Ewhich%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22928440%22%20data-d%3D%22159%22%3E%20is%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22928640%22%20data-d%3D%22159%22%3E%20more%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22928800%22%20data-d%3D%2280%22%3E%20or%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22928880%22%20data-d%3D%22159%22%3E%20less%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22929080%22%20data-d%3D%22599%22%3E%20on%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22929840%22%20data-d%3D%22319%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22930160%22%20data-d%3D%22280%22%3E%20upper%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22930440%22%20data-d%3D%22199%22%3E%20end%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22930680%22%20data-d%3D%22160%22%3E%20of%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22930840%22%20data-d%3D%22159%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22931000%22%20data-d%3D%22360%22%3E%20regime%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22931400%22%20data-d%3D%22159%22%3E%20of%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22931560%22%20data-d%3D%22120%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22931680%22%20data-d%3D%22640%22%3E%20greens.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A15%3A32%22%3E%3CSPAN%20data-m%3D%22932480%22%20data-d%3D%22480%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22933080%22%20data-d%3D%22479%22%3E%20obviously%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22933680%22%20data-d%3D%22320%22%3E%20this%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22934040%22%20data-d%3D%22600%22%3E%20little%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22935320%22%20data-d%3D%22679%22%3E%20differences%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22936040%22%20data-d%3D%22240%22%3E%20here%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22936320%22%20data-d%3D%22439%22%3E%20in%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22936880%22%20data-d%3D%22240%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22937160%22%20data-d%3D%22360%22%3E%20shape%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22937600%22%20data-d%3D%22199%22%3E%20is%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22937840%22%20data-d%3D%22360%22%3E%20not%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A15%3A38%22%3E%3CSPAN%20data-m%3D%22938320%22%20data-d%3D%22359%22%3Estrong%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22938760%22%20data-d%3D%22279%22%3E%20enough%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22939080%22%20data-d%3D%22360%22%3E%20to%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22939520%22%20data-d%3D%22240%22%3E%20come%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22939800%22%20data-d%3D%22280%22%3E%20up%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22940160%22%20data-d%3D%22600%22%3E%20really%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22941160%22%20data-d%3D%22320%22%3E%20in%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22941520%22%20data-d%3D%22159%22%3E%20this%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22941680%22%20data-d%3D%22520%22%3E%20statistical%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22942280%22%20data-d%3D%22720%22%3E%20calculation.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A15%3A43%22%3E%3CSPAN%20data-m%3D%22943160%22%20data-d%3D%22280%22%3Ebut%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22943480%22%20data-d%3D%22120%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22943640%22%20data-d%3D%22200%22%3E%20could%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22943880%22%20data-d%3D%22279%22%3E%20really%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22944240%22%20data-d%3D%22559%22%3E%20exclude%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22944840%22%20data-d%3D%22559%22%3E%20here%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22945520%22%20data-d%3D%22279%22%3E%20this%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22945840%22%20data-d%3D%22199%22%3E%20guy%20here%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A15%3A46%22%3E%3CSPAN%20data-m%3D%22946680%22%20data-d%3D%22280%22%3Efrom%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22946960%22%20data-d%3D%22120%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22947120%22%20data-d%3D%22639%22%3E%20others%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22947960%22%20data-d%3D%22319%22%3E%20with%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22948280%22%20data-d%3D%22120%22%3E%20a%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22948440%22%20data-d%3D%22519%22%3E%20strong%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22949120%22%20data-d%3D%22399%22%3E%20edge%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22949600%22%20data-d%3D%22600%22%3E%20here.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A15%3A50%22%3E%3CSPAN%20data-m%3D%22950520%22%20data-d%3D%22360%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22950920%22%20data-d%3D%22720%22%3E%20maybe%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22952440%22%20data-d%3D%22399%22%3E%20this%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22952880%22%20data-d%3D%22399%22%3E%20one%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22953360%22%20data-d%3D%22199%22%3E%20if%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22953600%22%20data-d%3D%22319%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22954040%22%20data-d%3D%22519%22%3E%20experts%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22954600%22%20data-d%3D%22399%22%3E%20would%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22955120%22%20data-d%3D%22240%22%3E%20have%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22955360%22%20data-d%3D%22120%22%3E%20a%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22955520%22%20data-d%3D%22320%22%3E%20look%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22956280%22%20data-d%3D%22360%22%3E%20onto%20this%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A15%3A56%22%3E%3CSPAN%20data-m%3D%22956720%22%20data-d%3D%22240%22%3Esecond%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22957040%22%20data-d%3D%22200%22%3E%20time%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22957280%22%20data-d%3D%22279%22%3E%20or%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22957600%22%20data-d%3D%22319%22%3E%20maybe%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22957920%22%20data-d%3D%22120%22%3E%20it%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22958080%22%20data-d%3D%22240%22%3E%20would%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A15%3A58%22%3E%3CSPAN%20data-m%3D%22958400%22%20data-d%3D%22200%22%3Ehave%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22958600%22%20data-d%3D%22519%22%3E%20rejected%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22959120%22%20data-d%3D%22200%22%3E%20it%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22959320%22%20data-d%3D%22279%22%3E%20because%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22959640%22%20data-d%3D%22240%22%3E%20it's%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22959920%22%20data-d%3D%22360%22%3E%20too%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22960360%22%20data-d%3D%22360%22%3E%20steep%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22960760%22%20data-d%3D%22159%22%3E%20a%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22960960%22%20data-d%3D%22319%22%3E%20slope%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22961360%22%20data-d%3D%22199%22%3E%20or%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22961600%22%20data-d%3D%22519%22%3E%20whatever.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A16%3A02%22%3E%3CSPAN%20data-m%3D%22962280%22%20data-d%3D%22360%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22962720%22%20data-d%3D%22199%22%3E%20thesis%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22962920%22%20data-d%3D%22280%22%3E%20are%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22963240%22%20data-d%3D%22319%22%3E%20border%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22963560%22%20data-d%3D%22360%22%3E%20lining%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22963920%22%20data-d%3D%22120%22%3E%20I%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22964080%22%20data-d%3D%22159%22%3E%20would%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22964280%22%20data-d%3D%22519%22%3E%20say%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22964920%22%20data-d%3D%22280%22%3E%20in%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22965200%22%20data-d%3D%22240%22%3E%20both%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22965480%22%20data-d%3D%22399%22%3E%20cases%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22965920%22%20data-d%3D%22280%22%3E%20here%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A16%3A06%22%3E%3CSPAN%20data-m%3D%22966240%22%20data-d%3D%22439%22%3Ewith%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22966800%22%20data-d%3D%22240%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22967040%22%20data-d%3D%22639%22%3E%20statistical%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22967760%22%20data-d%3D%22639%22%3E%20approach%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22968520%22%20data-d%3D%22320%22%3E%20but%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22968920%22%20data-d%3D%22480%22%3E%20so%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22969560%22%20data-d%3D%22200%22%3E%20I%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22969800%22%20data-d%3D%22240%22%3E%20guess%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22970160%22%20data-d%3D%22200%22%3E%20with%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22970400%22%20data-d%3D%22600%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22971440%22%20data-d%3D%22559%22%3E%20manual%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22972040%22%20data-d%3D%22759%22%3E%20approach.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A16%3A13%22%3E%3CSPAN%20data-m%3D%22973600%22%20data-d%3D%22759%22%3Ebut%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22974800%22%20data-d%3D%22360%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22975200%22%20data-d%3D%22559%22%3E%20could%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22975880%22%20data-d%3D%22519%22%3E%20clearly%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22976480%22%20data-d%3D%22639%22%3E%20detect%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22977240%22%20data-d%3D%22360%22%3E%20number%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22977640%22%20data-d%3D%22440%22%3E%2015%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22978200%22%20data-d%3D%22240%22%3E%20which%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22978480%22%20data-d%3D%22159%22%3E%20is%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22978640%22%20data-d%3D%22159%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22978840%22%20data-d%3D%22159%22%3E%20one%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22979040%22%20data-d%3D%22200%22%3E%20here%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22979240%22%20data-d%3D%2280%22%3E%20in%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22979320%22%20data-d%3D%22159%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22979480%22%20data-d%3D%22559%22%3E%20center%2C%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A16%3A21%22%3E%3CSPAN%20data-m%3D%22981360%22%20data-d%3D%22319%22%3Elike%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22981720%22%20data-d%3D%22240%22%3E%20being%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22982040%22%20data-d%3D%22200%22%3E%20a%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22982280%22%20data-d%3D%22240%22%3E%20non%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22982560%22%20data-d%3D%22320%22%3E%20normal%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22982960%22%20data-d%3D%22719%22%3E%20behavior%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22984400%22%20data-d%3D%22360%22%3E%20with%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22984760%22%20data-d%3D%22200%22%3E%20this%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22985000%22%20data-d%3D%22600%22%3E%20tool.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A16%3A27%22%3E%3CSPAN%20data-m%3D%22987160%22%20data-d%3D%22360%22%3ESo%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22987520%22%20data-d%3D%22120%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22987680%22%20data-d%3D%22320%22%3E%20lake%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22988040%22%20data-d%3D%22240%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22988320%22%20data-d%3D%22439%22%3E%20FDE%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22988760%22%20data-d%3D%22200%22%3E%20has%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22989000%22%20data-d%3D%22480%22%3E%20so%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22989600%22%20data-d%3D%22279%22%3E%20some%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22989920%22%20data-d%3D%22840%22%3E%20limitations.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A16%3A31%22%3E%3CSPAN%20data-m%3D%22991360%22%20data-d%3D%22360%22%3Ebut%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22991760%22%20data-d%3D%22799%22%3E%20jumpsuit%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22993360%22%20data-d%3D%22319%22%3E%20in%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22993720%22%20data-d%3D%22399%22%3E%20addition%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22994200%22%20data-d%3D%22279%22%3E%20to%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22994520%22%20data-d%3D%22240%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22994840%22%20data-d%3D%22360%22%3E%20default%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22995280%22%20data-d%3D%22480%22%3E%20PCA%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22995800%22%20data-d%3D%22680%22%3E%20approach%2C%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A16%3A36%22%3E%3CSPAN%20data-m%3D%22996600%22%20data-d%3D%22279%22%3Eit%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22996880%22%20data-d%3D%22240%22%3E%20comes%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22997160%22%20data-d%3D%22280%22%3E%20up%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22997520%22%20data-d%3D%22200%22%3E%20with%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22997720%22%20data-d%3D%22519%22%3E%20thesis%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22998400%22%20data-d%3D%22480%22%3E%20shape%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22998920%22%20data-d%3D%22400%22%3E%20information%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22999440%22%20data-d%3D%22199%22%3E%20of%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22999680%22%20data-d%3D%22120%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%22999840%22%20data-d%3D%22439%22%3E%20curves.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A16%3A40%22%3E%3CSPAN%20data-m%3D%221000360%22%20data-d%3D%22240%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221000640%22%20data-d%3D%22200%22%3E%20this%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221000840%22%20data-d%3D%22199%22%3E%20is%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221001080%22%20data-d%3D%22319%22%3E%20so%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221001480%22%20data-d%3D%22319%22%3E%20part%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221001880%22%20data-d%3D%22639%22%3E%20of%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221003960%22%20data-d%3D%221039%22%3E%20distinguishing%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221005080%22%20data-d%3D%22199%22%3E%20in%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221005320%22%20data-d%3D%22279%22%3E%20a%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221005680%22%20data-d%3D%22360%22%3E%20control%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221006120%22%20data-d%3D%22759%22%3E%20chart%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A16%3A47%22%3E%3CSPAN%20data-m%3D%221007920%22%20data-d%3D%22320%22%3Eif%20a%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221008320%22%20data-d%3D%22359%22%3E%20curve%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221008720%22%20data-d%3D%22519%22%3E%20or%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221009400%22%20data-d%3D%22200%22%3E%20a%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221009640%22%20data-d%3D%22399%22%3E%20measurements%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221010120%22%20data-d%3D%22600%22%3E%20is%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221011040%22%20data-d%3D%22680%22%3E%20normally%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221011800%22%20data-d%3D%22560%22%3E%20vary%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221012400%22%20data-d%3D%22200%22%3E%20or%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221012640%22%20data-d%3D%22200%22%3E%20is%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221012840%22%20data-d%3D%22360%22%3E%20it%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221013320%22%20data-d%3D%22239%22%3E%20not%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221013560%22%20data-d%3D%22400%22%3E%20normal%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221013960%22%20data-d%3D%22719%22%3E%20anymore.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A16%3A55%22%3E%3CSPAN%20data-m%3D%221015680%22%20data-d%3D%22320%22%3Eto%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221016040%22%20data-d%3D%22440%22%3E%20conclude%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221016480%22%20data-d%3D%22240%22%3E%20thesis%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221016800%22%20data-d%3D%22600%22%3E%20things%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221018320%22%20data-d%3D%22319%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221018680%22%20data-d%3D%22360%22%3E%20default%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221019120%22%20data-d%3D%22600%22%3E%20PCA%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221019800%22%20data-d%3D%22520%22%3E%20approach%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221020440%22%20data-d%3D%22479%22%3E%20combined%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A17%3A00%22%3E%3CSPAN%20data-m%3D%221020960%22%20data-d%3D%22159%22%3Ewith%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221021160%22%20data-d%3D%22200%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221021400%22%20data-d%3D%22360%22%3E%20T%20square%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221021840%22%20data-d%3D%22559%22%3E%20analysis%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221022480%22%20data-d%3D%22240%22%3E%20or%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221022800%22%20data-d%3D%22280%22%3E%20control%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221023120%22%20data-d%3D%22759%22%3E%20chart%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A17%3A04%22%3E%3CSPAN%20data-m%3D%221024560%22%20data-d%3D%22360%22%3Eis%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221024960%22%20data-d%3D%22279%22%3E%20good%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221025280%22%20data-d%3D%22279%22%3E%20for%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221025599%22%20data-d%3D%22600%22%3E%20detecting%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221026240%22%20data-d%3D%22200%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221026480%22%20data-d%3D%22279%22%3E%20position%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221026839%22%20data-d%3D%22160%22%3E%20of%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221027040%22%20data-d%3D%22120%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221027200%22%20data-d%3D%22440%22%3E%20curve%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A17%3A07%22%3E%3CSPAN%20data-m%3D%221027720%22%20data-d%3D%22240%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221027960%22%20data-d%3D%22799%22%3E%20distinguish%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221028920%22%20data-d%3D%22359%22%3E%20them%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221029319%22%20data-d%3D%22440%22%3E%20from%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221029839%22%20data-d%3D%22400%22%3E%20curves%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221030280%22%20data-d%3D%22200%22%3E%20which%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221030480%22%20data-d%3D%22160%22%3E%20are%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221030680%22%20data-d%3D%22200%22%3E%20not%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221030960%22%20data-d%3D%22159%22%3E%20in%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221031160%22%20data-d%3D%22599%22%3E%20this%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221031960%22%20data-d%3D%22839%22%3E%20regime.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A17%3A13%22%3E%3CSPAN%20data-m%3D%221033359%22%20data-d%3D%22360%22%3Ebut%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221033760%22%20data-d%3D%22200%22%3E%20like%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221033960%22%20data-d%3D%22119%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221034079%22%20data-d%3D%22160%22%3E%20have%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221034280%22%20data-d%3D%22559%22%3E%20lakes%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221035160%22%20data-d%3D%22519%22%3E%20it's%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221035760%22%20data-d%3D%22920%22%3E%20lacking%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221036839%22%20data-d%3D%22360%22%3E%20if%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221037200%22%20data-d%3D%22200%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221037440%22%20data-d%3D%22319%22%3E%20shape%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221037800%22%20data-d%3D%22120%22%3E%20of%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221037960%22%20data-d%3D%22119%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221038079%22%20data-d%3D%22480%22%3E%20curve%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221038640%22%20data-d%3D%22279%22%3E%20is%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221039000%22%20data-d%3D%22200%22%3E%20of%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221039240%22%20data-d%3D%22759%22%3E%20importance.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A17%3A22%22%3E%3CSPAN%20data-m%3D%221042079%22%20data-d%3D%22360%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221042480%22%20data-d%3D%22160%22%3E%20with%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221042680%22%20data-d%3D%22119%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221042839%22%20data-d%3D%22400%22%3E%20FDE%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221043319%22%20data-d%3D%22519%22%3E%20approach%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221043920%22%20data-d%3D%22319%22%3E%20again%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221044319%22%20data-d%3D%22400%22%3E%20combined%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221044760%22%20data-d%3D%22120%22%3E%20with%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221044920%22%20data-d%3D%2279%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221045040%22%20data-d%3D%22440%22%3E%20T%20square%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221045480%22%20data-d%3D%22879%22%3E%20analysis%2C%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A17%3A26%22%3E%3CSPAN%20data-m%3D%221046560%22%20data-d%3D%22320%22%3Efirst%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221046920%22%20data-d%3D%22119%22%3E%20of%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221047040%22%20data-d%3D%22240%22%3E%20Alles%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221047319%22%20data-d%3D%22200%22%3E%20it%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221047520%22%20data-d%3D%22519%22%3E%20needs%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221048200%22%20data-d%3D%22440%22%3E%20much%2C%20much%2C%20much%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221048720%22%20data-d%3D%22319%22%3E%20a%20less%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221049120%22%20data-d%3D%22360%22%3E%20startup%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221049520%22%20data-d%3D%22759%22%3E%20prepared.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A17%3A31%22%3E%3CSPAN%20data-m%3D%221051360%22%20data-d%3D%22440%22%3Ebut%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221051880%22%20data-d%3D%22159%22%3E%20on%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221052040%22%20data-d%3D%22160%22%3E%20Top%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221052200%22%20data-d%3D%22159%22%3E%20of%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221052400%22%20data-d%3D%22199%22%3E%20that%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221052680%22%20data-d%3D%22279%22%3E%20it's%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221052960%22%20data-d%3D%22200%22%3E%20good%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221053160%22%20data-d%3D%22159%22%3E%20for%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221053320%22%20data-d%3D%22279%22%3E%20checking%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221053640%22%20data-d%3D%22159%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221053800%22%20data-d%3D%22360%22%3E%20position%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221054240%22%20data-d%3D%22240%22%3E%20like%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221054480%22%20data-d%3D%22160%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221054680%22%20data-d%3D%22639%22%3E%20above%2C%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A17%3A35%22%3E%3CSPAN%20data-m%3D%221055480%22%20data-d%3D%22359%22%3Ebut%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221055920%22%20data-d%3D%22359%22%3E%20so%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221056320%22%20data-d%3D%22320%22%3E%20because%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221056680%22%20data-d%3D%22159%22%3E%20it%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221056880%22%20data-d%3D%22199%22%3E%20has%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221057120%22%20data-d%3D%22280%22%3E%20shape%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221057440%22%20data-d%3D%22359%22%3E%20information%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221057880%22%20data-d%3D%22199%22%3E%20of%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221058080%22%20data-d%3D%22160%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221058280%22%20data-d%3D%22680%22%3E%20curves.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A17%3A39%22%3E%3CSPAN%20data-m%3D%221059280%22%20data-d%3D%22319%22%3Eit%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221059640%22%20data-d%3D%22479%22%3E%20is%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221060280%22%20data-d%3D%22559%22%3E%20so%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221061000%22%20data-d%3D%22599%22%3E%20including%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221061680%22%20data-d%3D%22319%22%3E%20that%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221062040%22%20data-d%3D%22240%22%3E%20in%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221062320%22%20data-d%3D%22400%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221062800%22%20data-d%3D%22319%22%3E%20good%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221063160%22%20data-d%3D%22839%22%3E%20not%20good%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221064640%22%20data-d%3D%221159%22%3E%20understand.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A17%3A46%22%3E%3CSPAN%20data-m%3D%221066720%22%20data-d%3D%22319%22%3EIn%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221067080%22%20data-d%3D%22240%22%3E%20our%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221067360%22%20data-d%3D%22560%22%3E%20work%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221068040%22%20data-d%3D%22279%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221068320%22%20data-d%3D%22360%22%3E%20stopped%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221068720%22%20data-d%3D%22119%22%3E%20at%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221068880%22%20data-d%3D%22199%22%3E%20this%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221069120%22%20data-d%3D%22360%22%3E%20point%2C%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A17%3A49%22%3E%3CSPAN%20data-m%3D%221069560%22%20data-d%3D%22240%22%3Ebut%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221069840%22%20data-d%3D%22519%22%3E%20principally%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221070400%22%20data-d%3D%22199%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221070600%22%20data-d%3D%22560%22%3E%20can%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221071280%22%20data-d%3D%22319%22%3E%20build%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221071640%22%20data-d%3D%22119%22%3E%20a%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221071800%22%20data-d%3D%22160%22%3E%20child%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221072000%22%20data-d%3D%22279%22%3E%20of%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221072320%22%20data-d%3D%22880%22%3E%20automatically.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A17%3A55%22%3E%3CSPAN%20data-m%3D%221075760%22%20data-d%3D%22279%22%3EIf%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221076080%22%20data-d%3D%22160%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221076240%22%20data-d%3D%22240%22%3E%20use%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221076520%22%20data-d%3D%22519%22%3E%20thesis%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221077160%22%20data-d%3D%22439%22%3E%20curves%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221077640%22%20data-d%3D%22199%22%3E%20or%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221077840%22%20data-d%3D%22400%22%3E%20thesis%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221078320%22%20data-d%3D%22560%22%3E%20principal%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221078920%22%20data-d%3D%22599%22%3E%20components%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A17%3A59%22%3E%3CSPAN%20data-m%3D%221079520%22%20data-d%3D%22599%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221080640%22%20data-d%3D%22319%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221081000%22%20data-d%3D%22359%22%3E%20information%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221081440%22%20data-d%3D%22240%22%3E%20of%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221081720%22%20data-d%3D%22160%22%3E%20good%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221081920%22%20data-d%3D%22159%22%3E%20other%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221082120%22%20data-d%3D%22240%22%3E%20bath%2C%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221082400%22%20data-d%3D%22159%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221082600%22%20data-d%3D%22360%22%3E%20can%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221083080%22%20data-d%3D%22720%22%3E%20automize%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221083880%22%20data-d%3D%22199%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221084080%22%20data-d%3D%22200%22%3E%20good%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221084320%22%20data-d%3D%22200%22%3E%20other%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221084520%22%20data-d%3D%22559%22%3E%20bath.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A18%3A05%22%3E%3CSPAN%20data-m%3D%221085720%22%20data-d%3D%22319%22%3EBut%20if%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221086080%22%20data-d%3D%22160%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221086280%22%20data-d%3D%22279%22%3E%20have%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221086640%22%20data-d%3D%22199%22%3E%20a%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221086840%22%20data-d%3D%22279%22%3E%20model%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221087200%22%20data-d%3D%22319%22%3E%20behind%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221087600%22%20data-d%3D%22280%22%3E%20which%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221087920%22%20data-d%3D%22399%22%3E%20predicts%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221088360%22%20data-d%3D%22160%22%3E%20you%2C%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A18%3A11%22%3E%3CSPAN%20data-m%3D%221091000%22%20data-d%3D%22319%22%3Ethen%20what%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221091320%22%20data-d%3D%22160%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221091480%22%20data-d%3D%22200%22%3E%20want%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221091720%22%20data-d%3D%22480%22%3E%20lake.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A18%3A12%22%3E%3CSPAN%20data-m%3D%221092320%22%20data-d%3D%22279%22%3Ebut%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221092600%22%20data-d%3D%22160%22%3E%20we%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221092760%22%20data-d%3D%22200%22%3E%20haven't%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221092960%22%20data-d%3D%22200%22%3E%20done%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221093160%22%20data-d%3D%22199%22%3E%20that.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A18%3A13%22%3E%3CSPAN%20data-m%3D%221093400%22%20data-d%3D%22199%22%3Ewe%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221093640%22%20data-d%3D%22319%22%3E%20stopped%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221094000%22%20data-d%3D%22319%22%3E%20here%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221094440%22%20data-d%3D%22200%22%3E%20on%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221094680%22%20data-d%3D%22559%22%3E%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221098320%22%20data-d%3D%22480%22%3E%20T%20square%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221098880%22%20data-d%3D%22679%22%3E%20chart%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221099720%22%20data-d%3D%22279%22%3E%20to%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221100040%22%20data-d%3D%22600%22%3E%20understand%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A18%3A21%22%3E%3CSPAN%20data-m%3D%221101080%22%20data-d%3D%22360%22%3Ethe%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221101440%22%20data-d%3D%22639%22%3E%20variation%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221102160%22%20data-d%3D%22359%22%3E%20other%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221102600%22%20data-d%3D%22759%22%3E%20what's%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221103960%22%20data-d%3D%22519%22%3E%20vary%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221104480%22%20data-d%3D%22200%22%3E%20more%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221104720%22%20data-d%3D%22519%22%3E%20than%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221105360%22%20data-d%3D%22360%22%3E%20normal%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221105760%22%20data-d%3D%22920%22%3E%20variation.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A18%3A26%22%3E%3CSPAN%20data-m%3D%221106880%22%20data-d%3D%22319%22%3Ethank%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221107200%22%20data-d%3D%22119%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221107320%22%20data-d%3D%22200%22%3E%20very%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221107560%22%20data-d%3D%22200%22%3E%20much%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221107800%22%20data-d%3D%22160%22%3E%20for%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221108000%22%20data-d%3D%22160%22%3E%20your%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221108160%22%20data-d%3D%22480%22%3E%20attention.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A18%3A28%22%3E%3CSPAN%20data-m%3D%221108760%22%20data-d%3D%22720%22%3Eother%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221109680%22%20data-d%3D%22319%22%3E%20if%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221110040%22%20data-d%3D%22120%22%3E%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221110160%22%20data-d%3D%22159%22%3E%20have%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221110320%22%20data-d%3D%22360%22%3E%20questions%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221110760%22%20data-d%3D%22279%22%3E%20In%20the%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221111080%22%20data-d%3D%22200%22%3E%20open%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221111320%22%20data-d%3D%22200%22%3E%20to%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221111520%22%20data-d%3D%22200%22%3E%20answer%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221111760%22%20data-d%3D%22200%22%3E%20them%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221112000%22%20data-d%3D%22319%22%3E%20now.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A18%3A32%22%3E%3CSPAN%20data-m%3D%221112440%22%20data-d%3D%22200%22%3Ethank%20you%3C%2FSPAN%3E%3CSPAN%20data-m%3D%221112680%22%20data-d%3D%22519%22%3E%20you%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3C%2FSECTION%3E%0A%3C%2FARTICLE%3E%0A%3C%2FDIV%3E%3C%2FLINGO-BODY%3E%3CLINGO-LABS%20id%3D%22lingo-labs-446194%22%20slang%3D%22de-DE%22%3E%3CLINGO-LABEL%3Ebreakout%3C%2FLINGO-LABEL%3E%3CLINGO-LABEL%3EData%20Visualization%3C%2FLINGO-LABEL%3E%3CLINGO-LABEL%3EQuality%20and%20Reliability%3C%2FLINGO-LABEL%3E%3C%2FLINGO-LABS%3E%3CLINGO-SUB%20id%3D%22lingo-sub-468119%22%20slang%3D%22en-US%22%3ERe%3A%20Control%20Charting%20Kinetical%20and%20Other%20Time-Dependent%20Curves%20(2022-EU-30MP-1042)%3C%2FLINGO-SUB%3E%3CLINGO-BODY%20id%3D%22lingo-body-468119%22%20slang%3D%22en-US%22%3E%3CP%3EI'm%20having%20issues%20playing%20the%20video%20on%20this%20page.%20Is%20there%20something%20wrong%20with%20the%20file%20or%20link%3F%3C%2FP%3E%3C%2FLINGO-BODY%3E%3CLINGO-SUB%20id%3D%22lingo-sub-468176%22%20slang%3D%22en-US%22%20mode%3D%22CREATE%22%3ERe%3A%20Control%20Charting%20Kinetical%20and%20Other%20Time-Dependent%20Curves%20(2022-EU-30MP-1042)%3C%2FLINGO-SUB%3E%3CLINGO-BODY%20id%3D%22lingo-body-468176%22%20slang%3D%22en-US%22%20mode%3D%22CREATE%22%3E%3CP%3E%3CA%20href%3D%22https%3A%2F%2Fcommunity.jmp.com%2Ft5%2Fuser%2Fviewprofilepage%2Fuser-id%2F16525%22%20target%3D%22_blank%22%3E%40msulzer_bsi%3C%2FA%3E%26nbsp%3Bthank%20you%20for%20letting%20us%20know%20of%20the%20issue.%20The%20issue%20appears%20to%20be%20related%20to%20the%20translation%20service.%20You%20can%20view%20the%20video%20by%20following%20these%20steps%3A%3C%2FP%3E%0A%3CP%3E%26nbsp%3B%3C%2FP%3E%0A%3COL%3E%0A%3CLI%3EClick%20the%20Choose%20Language%20link%20above%20the%20article%3CBR%20%2F%3E%3CBR%20%2F%3E%3CSPAN%20class%3D%22lia-inline-image-display-wrapper%20lia-image-align-inline%22%20image-alt%3D%22choose_language.png%22%20style%3D%22width%3A%20354px%3B%22%3E%3Cspan%20class%3D%22lia-inline-image-display-wrapper%22%20image-alt%3D%22choose_language.png%22%20style%3D%22width%3A%20354px%3B%22%3E%3Cimg%20src%3D%22https%3A%2F%2Fcommunity.jmp.com%2Ft5%2Fimage%2Fserverpage%2Fimage-id%2F40670i40DC2B76B340B4A2%2Fimage-size%2Flarge%3Fv%3Dv2%26amp%3Bpx%3D999%22%20role%3D%22button%22%20title%3D%22choose_language.png%22%20alt%3D%22choose_language.png%22%20%2F%3E%3C%2Fspan%3E%3C%2FSPAN%3E%3C%2FLI%3E%0A%3CLI%3EClick%20View%20Originally%20Published%20Version%3C%2FLI%3E%0A%3C%2FOL%3E%0A%3CP%3EThis%20should%20allow%20you%20to%20view%20the%20video.%20If%20you%20find%20this%20does%20not%20solve%20the%20problem%2C%20please%20let%20me%20know.%20In%20the%20meantime%2C%20we%20will%20investigate%20a%20fix.%20Thank%20you.%3C%2FP%3E%3C%2FLINGO-BODY%3E
Choose Language Hide Translation Bar
Control Charting Kinetical and Other Time-Dependent Curves (2022-EU-30MP-1042)

Markus Schafheutle, Consultant, Business Consulting

 

SPC and control charting is a common procedure in industry. Normally, you are controlling and observing a single measure over time. These data are displayed with ±3s limits around the mean on a chart.

 

However, when kinetical curves or other time-dependent behaviors are a matter of quality and consistency of a process, it is much more difficult to display in a SPC chart. These curves are often displayed within their maximal and minimal specification for each time point, which makes the off-spec curves visible. How can “off-spec” curves be defined while staying within these max-min limits?

 

The first method to try might be the principal component analysis (PCA). If the runtime stamps are always the intervals, then it's easy to achieve results. However, if they vary, interpolation of the Ys that will be on the same stamp is needed, which complicates data preparation.

 

With the Functional Data Explorer in JMP Pro, it becomes very convenient to display the different curves as principal components in a T2-control chart.

 

This presentation shows how we used this tool for quality control for a pressure leakage test and how we made it simple for the practitioner to use.

 

 

Okay. Hello.

Thanks for the nice introduction.

Today I want to present together with Stefan Vinzens from LRE Medical

a work we've done in the last year on control charting kinetical

and other time- dependent measurements.

So why is that important to present?

So in case you have a time- dependent curves

and the curves themselves are important for the quality of your product,

so it's often very hard to define any kind of specification.

And in our case here,

these curves were evaluated by specialists.

So every measurement was sent to a specialist,

looked at the curve, said, "Yes, okay, or not okay."

This is pretty time- consuming and compassion and so on.

And on top of that, it's even bad when the person is sick or in vacation.

Also it's a person- dependent thing.

So often it happens that the person

has different moods or different obligation

or different priorities and so on.

So let's say the adjustment of the curve may vary a little bit.

So it's kind of reproducibility problem

And we wanted to stop that.

So that was the reason why we started with it.

So for example, here you see a selection from hundreds of these curves we measured.

And you see here it's a pressure holding measurement.

So we have here pressure versus time in seconds.

And here you see a bunch of curves.

And the green ones, you see they are called true.

This means true is accepted, they are good.

And false means rejected, they are not good.

So there is a bad product.

So what you see here that the green ones are relatively tied together.

Here in this highlighting screenshot, you see better.

So they're pretty close together.

And then we have a selection of red ones

which are either apart from the green ones,

but there are also two ones which are more or less in the same regime.

But as you see, they have completely different shapes.

There are some edges and other s-shaped curves and so on and to forth.

So if it would make just a simple t hree-sigma limit ±

around the good ones, for example, as in the upper case here,

we would include also the nongood red ones here from the lower picture.

So a simple ± three Sigma limit

approach around this series of curves would not be target leading.

So we need something which includes the position

which is done here with the basic monument.

But also we want to have something which takes care about the shape

of these functions, of these groups,

How to analyze the shapes and positions?

So there are actually two approaches.

One is pretty long- known already.

This is the principal component analysis.

That's the first one.

And in more recent times JMP came up with

a functional data explorer which also gives us the possibility to do the same.

But as we have seen, it was not really the same, so it was different.

So let's start with the old approach, principal component analysis

For doing so, you need to transform the long table I just show you

in the next picture here on the left side,

a long table where you have columns

with the part number, for example, with the test date.

But also and this is the important part

of the runtime and the pressure and this for each value.

And you see here, this is in seconds.

So we measured every some milliseconds.

And as you see also, it is pretty hard that for the next part

it's exactly the same series of numbers here,

exactly the same time when we have the next pressure point.

And this is actually needed when you want

to make a principal component analysis because you have to transform

this long table into a wide table where you have one row per part

and then you have the white table

where you have for each time slot and then the data points.

So what we need to do now is, first of all,

we need to bring all these runtimes on the same scale.

Here, we have done that by just calculating

the longest time as 100% and the shortest is zero.

And then we have every numbers from millisecond seconds

transferred into this percent scale.

Then we interpolated because still they were not on the same time slot actually.

So we had to bring all the Y numbers on the same time point.

This means we need to do a kind

of interpolation to have them all on the same.

And then when we have that,

so we created a new column with the standard relative times.

I've just seen them in the example in the next slide, so 00001 and so on.

And then we transpose them into this white form.

And from there on, then we could do the principal component analysis,

saving the printable components and calculate the T squares from them

and build the control charts from these T squares values.

So here you see it's the slot 0%, 1%, 2% and so on.

And here are the pressure values.

In a parallel plot, it looks kind of like this.

So we have here the different slots here on the X- axis

and the pressure is still the same numbers as before.

And you see that the curves are looking pretty much the same as before.

But now we have about 100 data points and before we had thousands.

So it's the density of the points are a little less, but still the curves

and the shapes and the positions and everything are the same as before.

And we take now this white table

and on all these different time slots,

we do a principle component analysis.

Then we find here this scoreboard for it.

What you already see here is that in the middle part, we have here

all the green dots and the green ones, as you see here are the accepted ones

or the good parts surrounded by the red dots,

the rejected ones, the false ones.

And as you see also in this example here we can stay with two principal components

because the first principal components covers already 98% of the variation

in the second one, 2% and the other ones you can neglect.

So I think it's good enough to save just the first two principle components.

And then from these two principal components, we calculated the T squares.

This means T Square is principal component,

one squared plus principal components.

Two squares would be then the T squared here

for this data point.

Calculating this one .

So for every data point we calculated,

this T square and bring it on a control chart

Here, you see the control limits calculated only from the good,

from the green dots, from the good runs, from the good curve.

So you see it down here from the moving range.

So this means, okay. This controlling, it represents the normal natural variation,

what we expect from the good ones.

And all the non- good ones, the red ones

should be outside of this regime here.

And you see it's mostly done,

but not for these two points here for part number 14 and part number 15.

So they're inside the control limit.

But that is not what we want to see.

So first of all we have to understand what are these two.

So if you have a look onto the next picture,

then and highlight just these two, 14 and 15, then we see,

"Ah, okay." T hese are the ones here

which are really within the regime of the green ones.

The other ones which are further apart from it, they are easily excluded

or not excluded, but let's say distinguished

here with this control shot.

But these parts were not.

So what we learned from here, that is the principal component approach

as we have done it here or have done it in former times,

there is no information about the shape of the curve.

It's more information about the position where it is on this Y scale here.

So we need something else which takes care about the shape of this curve.

So when we tested the FDE, the Function Data Explorer,

and the first good news is you can just take the long table as is.

So there's no need for data transformation

or bringing the different time points on the same slot number or whatever.

So you just take the raw data as they are.

Perhaps you will exclude some real outliers where there's the machine

has given wrong numbers or whatever.

But all the other stuff you can just take as is

and sometimes perhaps you don't want to do it on the transformation or so.

It's not really necessary.

And in this case, we have just taken the raw data as they are.

So starting doing an FDE on this,

we see here again our pressure time curve as we've seen them before.

But now you see these blue verticals here

and these blue verticals represent the number of knots.

So what is a knot?

So here we are fitting a spline curve.

And the spline curve is, let's say if you take a ruler

and then you want to make it a bit more flexible

to bend it onto all these different curves

or, let's say, to adjust it the best way to the data.

And the more, not this ruler has the more flexible it is.

And so the better you can adjust all these different points.

Here, we used these 20 knots thing.

So these are 20 verticals here and here with the basic information criterion,

you see that we get on all different functions.

We get the smallest BICs.

And just have an optical control on this,

you see on the lower left, all the data points separated out

for all the different curves here and with a red line on top of it

representing the spline curve which we fitted.

It doesn't matter if the curve is pretty straightforward

like here or has more edges or whatever,

it's perfectly aligned.

So just optically, it looks very good.

And you can also check that with the diagnostic plots.

For example, here this blind curve,

the predicted values are displayed versus the actual ones.

And you see they are perfectly aligned around these 45 degree line here.

And also the residuals, the ones are left and right here

from this prediction line, they are pretty small,

so there's not a lot of error left, which is not represented by this blanker.

So the fit looks really, really excellent.

So we have not taking the parameters for this split,

sorry for the spline and did a functional FDE.

Well, I'm completely confused today.

And we did a principal component analysis on these.

So we separated the eigenvalues,

which is the weighing factors, and the eigen functions

for each of these curves.

Then we can display them on a scoreboard.

Here the eigenvalues for each of these curves.

And you see here,

again with the BIC credit criterion,

you see how many numbers of functional principle

components you should optimally use.

And you see is the minimum with two.

So we stayed with two again as the one before.

And now we have this score board,

and it looks pretty much the same as the one before.

We have here the center part, the green of the curves, which are good,

surrounded by the red ones, which are rejected from the specialist.

And now we saved all these functional prints

and components and built a T square plot on it.

And here again, the same picture, the square.

If we take all the data points

to calculate the control limits, okay, then besides these two, everything

is part is in control.

But this is actually not what we want to have.

So we want to understand what is the normal variation of the good ones

to differentiate them from the variation of the non- good ones.

And so down here on the second plot here, we calculated the control limits

only from the good ones.

And then you see, okay, nearly all red curves are outside.

We're out of control. But there are two.

So the number 14 and the number two here are again directly on the borderline.

But all the others are clearly separated.

So let's have a look on the two and 14 which curves these are.

And then we see here. Ah, okay.

So they are really different from the red ones, that's clear.

But also kind of different from the majority of the green ones.

So the number two, which is defined as being true is the one

with a steeper slope here compared to all the other green ones here.

And the number 14 is this guy here,

which is more or less on the upper end of the regime of the greens.

So obviously, this little differences here in the shape is not

strong enough to come up really in this statistical calculation.

But we could really exclude here this guy here

from the others with a strong edge here.

And perhaps this one if the expert would have a look onto this

second time or perhaps it would

have rejected it because it's too steep a slope or whatever.

So these are border lining, I would say in both cases here

with the statistical approach but also, I guess with the manual approach.

But we could clearly detect number 15, which is the one here in the middle,

as being a non- normal behavior with this tool.

So you see, the FDE has also some limitations.

But overall, in addition to the standard PCA approach,

it comes up with these shape information of the curves.

And this is also part of distinguishing in a control chart

if a curve or a measurement is normally varying or is it not normal anymore.

To conclude these things, the standard PCA approach combined

with the T square analysis or control chart

is good for detecting the position of the curve

and distinguish them from curves which are not in this regime.

But as we have seen, it's lacking if the shape of the curve is of importance.

And with the FDE approach, again, combined with the T square analysis,

first of all, it needs much, much, much a less startup preparation.

But on top of that, it's good for checking the position as the above,

but also because it has shape information of the curves.

It is also including that in the good nongood understanding.

In our work, we stopped at this point,

but principally, you can build a kind of automatic.

If you use these curves or these principal components

and the information of good and bad, you can automize the good and bad.

But if you have a model behind which predicts you,

then what you will see.

But we haven't done that.

We stopped here on the T square chart to understand

the variation and what's varying more than normal variation.

Thank you very much for your attention.

And if you have questions, I'm open to answer them now.

Thank you.

Comments

I'm having issues playing the video on this page. Is there something wrong with the file or link?

@msulzer_bsi thank you for letting us know of the issue. The issue appears to be related to the translation service. You can view the video by following these steps:

 

  1. Click the Choose Language link above the article

    choose_language.png
  2. Click View Originally Published Version

This should allow you to view the video. If you find this does not solve the problem, please let me know. In the meantime, we will investigate a fix. Thank you.

shs

@markus: very nice and interesting presentation. Have you considered that approach for spectral data? The issue of identifiying an  identiy of a material, in regard to a standard, as part of a standard QC inspection crossed my mind.  

markus

Danke, SHS!
Auf diesem Weg habe ich es mit Spektraldaten noch nicht gemacht. Ich habe sie direkt in die Hauptkomponenten zerlegt und dann einem Kontrollchart zugeführt. Der Vorteil beim Functional Data Explorer ist, dass die Daten für die verschiedenen Runs nicht alle auf dem gleichen Zeit-Slot liegen müssen. Bei Spektraldaten ist das normalerweise kein Problem. Ich denke, dass es prinzipiell auch mit Spektren gehen sollte.

Grüße

Markus

Victor_G

Hallo Markus,

Maybe also another option to try for this topic would be to use SVM for the analysis (if you have enough data), as it would be perhaps more "sensitive" ?
The process in this case would be :
1) Use Functional Data Explorer and model the curves.
2) Create the FPCs and export the table.
3) Use FPCs as factors and categorical Conform/Non-conform assessment as your response for the SVM model.

Just for illustration, you would be able to have a mapping of your response depending on the FPCs like this (example on "fermentation process" in JMP use cases) : 

Victor_G_0-1648801857489.png

I don't know if it would work on your example, but it could be an interesting alternative option.
Looking forward to hearing your thoughts on this,

Victor

markus

Hi Victor

With my limited dataset from the presentation I found a good misclassification matrix using the SVM. You are right, it might be a possibility for these kind of data, too. I will test with the larger dataset next.

 

markus_1-1648806841361.png

Thanks for the hint!

Markus