Subjective judgments of rhythmic complexity in Parkinson's disease: Higher baseline, preserved relative ability, and modulated by tempo

forward stepwise binary logistic regression
pd group removedgraphic pearson correlation test

Unlearned visual preferences for the head region in domestic chicks

Age and sex-related upper body performance differences in competitive young tennis players

two factorial independent measures anova
stepwise multivariate linear least square regression

Influence of aging on the behavioral phenotypes of C57BL/6J mice after social defeat

Changes in physical demands between game quarters of U18 elite official basketball games

15 removedgraphic magnitude based inferences analysis

Status determinants, social incongruity and economic transition: Gender, relative material wealth and heterogeneity in the cultural lifestyle of forager-horticulturalists

Eavesdropping grey squirrels infer safety from bird chatter

p=0.177, Fig 3A percent time spent vigilant p=0.432, Fig 3B; N=9

Testing the effectiveness of the Internet-based instrument PsyToolkit: A comparison between web-based (PsyToolkit) and lab-based (E-Prime 3.0) measurements of response choice and response time in a complex psycholinguistic task

two forms of linear mixed effect modelling
generalised linear mixed effect regression

Association between pubic hair grooming and prevalent sexually transmitted infection among female university students

Comparison of the effects of running and badminton on executive function: A within-subjects design

significance levels of 3 factorial repeated anova

Resource utilization by the Kori bustard in the Serengeti ecosystem

most parsimonious resource selection function model

Table 4, cross validation r=0.714, p=0.088
Table 4, cross validation r=0.952, p<0.001
Table 4, cross validation r=0.818, p=0.007

Players' selection for basketball teams, through Performance Index Rating, using multiobjective evolutionary algorithms

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x i<P G</disp formula><disp formula id="pone.0221258.e006">removedGRAPHIC ∑ i=1
x i<S G</disp formula><disp formula id="pone.0221258.e007">removedGRAPHIC ∑ i=1
x i<F</disp formula><disp formula id="pone.0221258.e008">removedGRAPHIC ∑ i=1
F</disp formula><disp formula id="pone.0221258.e009">removedGRAPHIC ∑ i=1
x i<C</disp formula><disp formula id="pone.0221258.e010">removedGRAPHIC ∑ i=1
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x i<=C O</disp formula><disp formula id="pone.0221258.e012">removedGRAPHIC ∑ i=1
x i<=E U</disp formula><disp formula id="pone.0221258.e013">removedGRAPHIC ∑ i=1
F</disp formula><disp formula id="pone.0221258.e014">removedGRAPHIC x i ∈ { 0, 1 } ∀ i=1
Children<p specific use="line">1 Population<- InitializePopulation PopulationSize<p specific use="line">2 Evaluate Population<p specific use="line">3 FastNondominatedSort Population<p specific use="line">4 Selected<- SelectParentsByRank Population<p specific use="line">5
StopCondition do<p specific use="line">7 Evaluate Children<p specific use="line">8
Children<p specific use="line">9 Fronts<- FastNondominatedSort Union<p specific use="line">10 Parents<- ∅<p specific use="line">11 LFront<- 0<p specific use="line">12
Fronts do<p specific use="line">13 CrowdingDistanceAssignment Front i<p specific use="line">14 if Size Front i+ Size Parents<=Size Population then<p specific use="line">15
Front i<p specific use="line">16 else<p specific use="line">17 LFront<- i<p specific use="line">18 Break<p specific use="line">19 end<p specific use="line">20 end<p specific use="line">21 if Size Parents<Size Population then<p specific use="line">22 SortByRankAndDistance Front LFront<p specific use="line">23
Front LFront<p specific use="line">24 end<p specific use="line">25 Selected<- SelectParentsByRankAndDistance Parents<p specific use="line">26 Population<- Children<p specific use="line">27