Defining a positive work environment for hospital healthcare professionals: A Delphi study

Visual light perceptions caused by medical linear accelerator: Findings of machine-learning algorithms in a prospective questionnaire-based case-control study

machine learning algorithms incorporate statistics
visual perception radiation field time point verification test

Early localized alterations of the retinal inner plexiform layer in association with visual field worsening in glaucoma patients

approximate association of perimetry test
worsening of visual field scores during sequential analysis

Childhood trauma and cognitive biases associated with psychosis: A systematic review and meta-analysis

SMD Median=0.40, Interquartile range 0.07-0.52

Validation of a combined approach-avoidance and conditioned stimulus aversion paradigm for evaluating aversion in chickens

Conflict processing networks: A directional analysis of stimulus-response compatibilities using MEG

align neuromagnetic source activity estimations
non parametric cluster permutation f test
table 1 removedgraphic time course analysis

A 1-week diet break improves muscle endurance during an intermittent dieting regime in adult athletes: A pre-specified secondary analysis of the ICECAP trial

Multi-criteria decision making in robotic agri-farming with q-rung orthopair m-polar fuzzy sets

optimization technique grey relational analysis

removedGRAPHIC 0<=(μ R j (ξ) q + Ny R j (ξ) q<=1, (q>1
e j=1, 2, ⋯, m }</disp formula>Definition 3.4
Definition 3.10 A qROmPFS removedGRAPHIC R upon X is called null qROmPFS if removedGRAPHIC μ R j (ξ)=0
j=1, 2, ⋯, m }</disp formula>then its complement is defined by<disp formula id="pone.0246485.e086
j=1, 2, ⋯, m }</disp formula>Example 3.17
j=1, 2, ⋯, m }</disp formula>Definition 3.27
we have<disp formula id="pone.0246485.e162">removedGRAPHIC 0<=(μ R j (ξ) q + Ny R j (ξ) q<=1 μ R j (ξ)<=1 - Ny R j (ξ) q q & Ny R j (ξ)<=1
j=1, 2, ⋯, m }</disp formula>Example 3.32
j=1, 2, ⋯, m }</disp formula>Example 3.34
j=1, 2, ⋯, m }</disp formula>Here removedGRAPHIC R2
j=1, 2, ⋯, m }</disp formula>The set<disp formula id="pone.0246485.e187
alpha>=0, ξ ∈ Ψ ; j=1, 2, ⋯, m }</disp formula>Definition 3.38
alpha>=0, ξ ∈ Ψ ; j=1, 2, ⋯, m }</disp formula>Definition 3.39 Let removedGRAPHIC R 1
j=1, 2, ⋯, m }</disp formula>Example 3.40
i=1, 2, ⋯, m }</disp formula>Where alpha ∈ [0, 1]
take alpha=0.291, then we have<disp formula id="pone.0246485.e242
j=1, 2, ⋯, m }</disp formula>Proposition 3.49 If removedGRAPHIC R 1
i=1, ⋯, n</disp formula><p specific use="line">Step 7
pone.0246485.e321">removedGRAPHIC ξ 4>ξ 2>ξ 1>ξ 3>ξ 5>ξ 6>ξ 7</disp formula>For q=6
pone.0246485.e322">removedGRAPHIC ξ 4>ξ 2>ξ 1>ξ 3>ξ 5>ξ 6>ξ 7</disp formula>For q=7