part of standard neuropsychological test

Heterosexist microaggressions, student academic experience and perception of campus climate: Findings from an Italian higher education context

RMSEA=.07 90% confidence interval (C.I.) [.01.11]
heterosexual students (65.8%; chi^2(2)=.01, p=.52

Neuronal mechanisms for sequential activation of memory items: Dynamics and reliability

form<disp formula id="pone.0231165.e001">removedGRAPHIC x i -=x i (1 - x i) (- μ x i - I - lambda ∑ j=1
eta</disp formula><disp formula id="pone.0231165.e002">removedGRAPHIC s i -=1
x i=0, s i recovers s i=1 by following<disp formula id="pone.0231165.e006
learned patterns<disp formula id="pone.0231165.e008">removedGRAPHIC ξ i=(0, ⋯, 0, 1, 1, 0, ⋯, 0), i=1
N=8 excitatory units can encode p=N -1=7
noise eta=0.02.Synaptic time constant equals taur=300
noise eta=0.04.Synaptic time constant equals taur=300
taur=900. In all simulations I=0. Row, eta=0.02, lambda=0.51
combination over 100 trials. Synaptic time constant equals taur=300

eta</disp formula><disp formula id="pone2.31165">removedGRAPHIC s i -=1
noise eta=0.02Synaptic time constant equals taur=300
noise eta=0.04Synaptic time constant equals taur=300
taur=900. In simulations I=0. Row, eta=0.02, lambda=0.51

Pet dogs (Canis lupus familiaris) release their trapped and distressed owners: Individual variation and evidence of emotional contagion

tukey post hoc test removedgraphicremovedgraphic test

Validity of the cold pressor test and pain sensitivity questionnaire via online self-administration

Wallis statistic=71, df=1, p<0.0001, Fig 4
Wallis statistic=13, df=5, p=0.0241, Fig 5
Wallis statistics=4, df=2, p=0.1591, Fig 6

Exploring the factors affecting musculoskeletal disorders risk among hospital nurses

Availability, accessibility, and impact of social support on breast cancer treatment among breast cancer patients in Kumasi, Ghana: A qualitative study

Eye care service utilization and associated factors among older adults in Hawassa city, South Ethiopia

first model of forward stepwise logistic regression