Dynamic prediction model of spontaneous combustion risk in goaf based on improved CRITIC-G2-TOPSIS method and its application

coal seam spontaneous combustion risk prediction model
goaf spontaneous combustion risk analysis model
difference driven objective weighting method
function driven subjective weighting method
g2 topsis comprehensive evaluation model
improved critic g2 topsis dynamic prediction model

When -0.5<=<italic toggle="yes">eta<=0, it is conservative; when<italic toggle="yes">eta=0
d 1 k + d 2 k + eta (d 2 k - d 1 k) ∑ i=1
pone.0257499.e013">removedGRAPHIC w s (0)=w - q (0) ∑ k=1 n w - q (0) ;</disp formula><disp formula id="pone.0257499.e014">removedGRAPHIC phi j=1 + | delta q | ;</disp formula><disp formula id="pone.0257499.e015">removedGRAPHIC w D=w s (0) - phi j ∑ k=1
evaluation is<disp formula id="pone.0257499.e023">removedGRAPHIC S i +=∑ j=1
j + 2, i=1, 2, ⋯, n ;</disp formula><disp formula id="pone.0257499.e024">removedGRAPHIC S i -=∑ j=1

Validity and reliability of the Serbian COVID Stress Scales

The multifaceted care-seeking practices among caregivers of children with cerebral palsy: Perspectives from mothers and providers in Ghana

The impact of the traditional male role norms on the posttraumatic stress disorder among Polish male firefighters

A treatment strategy for meeting life as it is. Patients' and therapists' experiences of brief therapy in a district psychiatric centre: A qualitative study

Quantifying patterns of alcohol consumption and its effects on health and wellbeing among BaYaka hunter-gatherers: A mixed-methods cross-sectional study

s.d.=2.1, male mean=2.5, female mean=2.3
s.d.=2.3, male mean=3.9, female mean=2.0
s.d.=8.7, male mean=9.9 cups, female mean=5.6
s.d.=2.0, male mean=2.9, female mean=2.7
s.d.=2.2, male mean=4.2, female mean=2.3
s.d.=8.7, male mean=11.6, female mean=6.5
consumed 4.6 cups more per week, p=0.031
shorter stature (27), Pygmy populations are characterised by an average male height<155cm (28

Parents' perspectives on a smartwatch intervention for children with ADHD: Rapid deployment and feasibility evaluation of a pilot intervention to support distance learning during COVID-19