Quickscan assesses risk factors of long-term sickness absence: A cross-sectional (factorial) construct validation study

Modeling the spatial distribution of grazing intensity in Kazakhstan

biosphere energy transfer hydrology model

Computer simulations of coupled idiosyncrasies in speech perception and speech production with COSMO, a perceptuo-motor Bayesian model of speech communication

simulating experimental data within computational model
perceptuo motor model of speech perception yield regression

Well-being through the lens of the internet

particularly important predictors of well being across model

Interactive effects of OXTR and GAD1 on envy-associated behaviors and neural responses

whole brain analysis detected correlation

PFWESVC=1.0 x 10-2, peak MNI coordinates 24, -2, -22
F=17.02, PFWESVC=4.3 x 10-2, MNI coordinates 8, 14, 28

Behavior and exocrine glands in the myrmecophilous beetle Dinarda dentata (Gravenhorst, 1806) (Coleoptera: Staphylinidae: Aleocharinae)

Motor ability and working memory in Omani and German primary school-aged children

Effects of early adversity on the brain: Larger-volume anterior cingulate cortex in AIDS orphans

An estimated 17.8 million AIDS orphans<18

Migrant physicians' conceptions of working in rural and remote areas in Sweden: A qualitative study

one part of sociological discourse analysis

Stomach contents of long-finned pilot whales, Globicephala melas mass-stranded in Tasmania

males spearman rank correlation coefficient

Illusory face detection in pure noise images: The role of interindividual variability in fMRI activation patterns

thickness 3 mm, TR=2.2 s, TE=30 ms, flip angle 90

Enhancing Confusion Entropy (CEN) for binary and multiclass classification

pone.0210264.e006">removedGRAPHIC P i, j j=C i, j ∑ k=1 N (C j, k + C k, j), i, j=1
pone.0210264.e009">removedGRAPHIC P i, j i=C i, j ∑ k=1 N (C i, k + C k, i), i, j=1
pone.0210264.e010">removedGRAPHIC CEN j=-∑ k=1, k !=j N (P j, k j log 2 (N -1) (P j, k j) + P k, j j log 2 (N -1
summing 1, are<disp formula id="pone.0210264.e012">removedGRAPHIC P j=∑ k=1 N (C j, k + C k, j) 2 ∑ k, l=1
pone.0210264.e021">removedGRAPHIC P ~ i, j j=C i, j ∑ k=1 N (C j, k + C k, j) - C j, j, i, j=1
pone.0210264.e023">removedGRAPHIC P ~ i, j i=C i, j ∑ k=1 N (C i, k + C k, i) - C i, i, i, j=1
pone.0210264.e025">removedGRAPHIC P ~ j=∑ k=1 N (C j, k + C k, j) - C j, j 2 ∑ k, l=1 N C k, l - alpha ∑ k=1
in (3) by<disp formula id="pone.0210264.e027">removedGRAPHIC MCEN j=-∑ k=1, k !=j N (P ~ j, k j log 2 (N -1) (P ~ j, k j) + P ~ k, j j log 2 (N -1
<disp formula id="pone.0210264.e028">removedGRAPHIC MCEN=∑ j=1
pone.0210264.e042">removedGRAPHIC gamma=T F<0, delta=2 (N -1) + 2 gamma>0
pone.0210264.e049">removedGRAPHIC CEN (0)=CEN (1)=1, CEN gamma>1
<disp formula id="pone.0210264.e062">removedGRAPHIC CEN=F N + F P log 2 (S 2 - T P - T N 2) 2 S - F N log 2 F N + F P log 2 F P S, MCEN=2 F N + F P) log 2
class-2 cases are mainly misclassified if A>1
CENA<1 if A<1, CEN(1)=1, CENA>1 if A>1, MCENA<1
class-2 cases are mainly misclassified if A, r>1
fixed A=0.5, 10. removedGRAPHICremovedGRAPHICremovedGRAPHICremovedGRAPHIC Proposition 5
GRAPHIC 0<lim A ->+ ∞ MCEN A=4 r 8 r + 3 log 2 (2 (2 r + 1) r)=l MCEN r<1, lim r ->+ ∞ l MCEN r=1
B>1, then matrix Y A, r is equivalent removedGRAPHIC r r 1
fixed A=10. removedGRAPHICremovedGRAPHICremovedGRAPHIC Proposition 6
pone.0210264.e130">removedGRAPHIC CEN (Z 1)=CEN Z A 3)=1, CEN Z A>1
A 3 ],</disp formula><disp formula id="pone.0210264.e131">removedGRAPHIC lim A ->0
CEN A=log 2 (3) 3, lim A ->+ ∞ CEN A=lim A ->+ ∞ MCEN A=0