Objective To review and appraise the validity and usefulness of published and preprint reports
of prediction models for prognosis of patients with covid-19, and for detecting people in …

Objective To assess the methodological quality of studies on prediction models developed
using machine learning techniques across all medical specialties. Design Systematic review. …

Energy shortage and escalating pollution are major challenges globally. Heterogeneous
photocatalysis is one of the most cost-effective methods for producing renewable energy and …

… We elongate the tight bounding box before to warping so that there are exactly p pixels of
warped image across the original box (we use p = 16). VGG16 specifies that the image must …

Introduction The Transparent Reporting of a multivariable prediction model of Individual
Prognosis Or Diagnosis (TRIPOD) statement and the Prediction model Risk Of Bias ASsessment …

… We used a P value of <0.01 (two tailed) to assess statistical significance. We did Wald’s
significance tests to determine whether the categorical variable for antidepressant class was …

Water flow over carbon nanotubes has been shown to generate an induced voltage in the
flow direction due to coupling of ions present in water with free charge carriers in the …

Discovering alternative materials and technologies that provide the meaningful potential to
environmental and energy-related challenges in critical to the long-term viability of industrial …

In this research work we report synthesis of gC 3 N 4 /FeVO 4 (CI) and gC 3 N 4 /FeVO 4 /Fe@NH
2 -Biochar (CIB) nano-hetero assemblies for removal of methyl paraben (MeP) and 2-…

Most clinical specialties have a plethora of studies that develop or validate one or more
prediction models, for example, to inform diagnosis or prognosis. Having many prediction model …