Predicting molecular properties with Graph Neural Networks (GNNs) has recently drawn a lot of attention, with compound toxicity prediction being one of the biggest challenges.In cases where there is insufficient labeled molecule data, an effective approach is to pre-train GNNs on large-scale unlabeled molecular data and then fine-tune them for down
Objective: The purpose of this study was to investigate differences in countermovement jump (CMJ) force–time metrics between male and female youth basketball players.Methods: Twenty-two female and seventeen male basketball players (ages 12–16) performed CMJs on a portable force plate system (VALD Performance).The data collected were analyzed fo
A new trough solar concentrator which is composed of multiple reflection surfaces is developed in this paper.The concentrator was analyzed firstly by using optical software.The variation curves of STOMACH FORMULA the collecting efficiency affected by tracking error and the deviation angle were given out.It is found that the deviation tolerance for
Polyaniline (PANI) and functionalised polyanilines (fPANI) are novel antimicrobial agents whose mechanism of action was investigated.Escherichia coli single gene deletion mutants revealed that COCONUT the antimicrobial mechanism of PANI likely involves production of hydrogen peroxide while homopolymer poly(3-aminobenzoic acid), P3ABA, used as an ex
This paper asks: is it a fact that there is more violence in districts affected by Naxalite (Maoist) activity compared to those which are free of Naxalite activity? And can the existence of Naxalite activity in some districts of India, but not in others, be explained by differences in economic and social conditions? This study identifies districts