Mortality Salience, System Justification, and Candidate Evaluations in the 2012 U.S. Presidential Election

important advantages over piecemeal analysis
difference score dependent measure model

ratings alpha=.96 Romney ratings alpha=.95

Monitoring Flower Visitation Networks and Interactions between Pairs of Bumble Bees in a Large Outdoor Flight Cage

Visual Perception-Based Statistical Modeling of Complex Grain Image for Product Quality Monitoring and Supervision on Assembly Production Line

omnidirectional spatial structure feature analysis
different image feature extraction method
multi channel texture classification method
odgdf based spatial structure statistics
spatial structure feature extraction method

| X=ln ∏ i=1 n lambda 2 lambda 1 lambda b Γ (1 lambda) e -1
b=1 lambda 2 lambda n + n ln lambda - n + n Phi (1 lambda) + ∑ i=1
| X=1 + ln lambda lambda + 1 lambda Phi (1 lambda) - ∑ i=1
i=1 n | x i | lambda - ln n lambda ∑ i=1 n | x i | lambda=0</disp formula>Eq 10
| X=1 lambda 2 - ln lambda lambda 2 - phi (1 lambda) lambda 3 - Phi (1 lambda) lambda 2 - ∑ i=1 n [| x i | lambda ln | x i | ψ (X, lambda) ] ∑ i=1 n | x i | lambda - ∑ i=1 n | x i | lambda ln | x i | [| x i | lambda ψ (X, lambda) ] (∑ i=1 n | x i | lambda) 2</disp formula>In Eq 12
pone.0146484.e025">removedGRAPHIC G θ κ, σ (x, y)=∑ i=1
pone.0146484.e043">removedGRAPHIC L (w, b, e, a)=J (w, b, ξ) - ∑ t=1

Intracultural Differences in Local Botanical Knowledge and Knowledge Loss among the Mexican Isthmus Zapotecs

Morphological Alterations in Gastrocnemius and Soleus Muscles in Male and Female Mice in a Fibromyalgia Model

N=5 animals per group. bar=500 nm A D, I L bar=100
p<=0.05 vs male mice. N=8-9 animals per group. Bar=50
p<0.001 vs male mice. N=7-9 animals per group. Bar=50
p<=0.05, vs male mice. N=5 animals per group. bar=500 nm A D, I L bar=100

Haplotypes of the D-Amino Acid Oxidase Gene Are Significantly Associated with Schizophrenia and Its Neurocognitive Deficits

Neural Tuning Size in a Model of Primate Visual Processing Accounts for Three Key Markers of Holistic Face Processing