The future forecasting ability of machine learning Sippy cup (ML) makes ML a promising tool for predicting long-time quantum dissipative dynamics of open systems.In this article, we employ nonparametric ML algorithm (kernel ridge regression as a representative of the kernel methods) to study the quantum dissipative dynamics of the widely-used spin-

The stick Breakfast tea thrips, Dendrothrips minowai Priesner (Thysanoptera: Thripidae), is a major pest of tea plantation and poses a considerable economic threat to tea industry.The mitochondrial genome of D.minowai have been sequenced and annotated completely.The entire genome is 14,631 bp in length with an A + T content of 78.53% (GenBank acces

Introduction.Ontologies as knowledgebases have been heavily applied in computational biological studies by implementing into ML models for purposes such as disease-gene associations identification.Method.We conduct a case study using gene ontology (GO) annotation data and three ML models to replicate the prediction of autism spectrum disorder (ASD)

The electrified environments encountered in electric Carte Cadeaux vehicles (EVs) in terms of parasitic currents present significant challenges for the performance of EV bearings and their lubricants.This study investigates the effectiveness of various concentrations (0.1 wt.%, 0.2 wt.%, 0.3 wt.%, and 0.4 wt.%) of multi-walled carbon nanotubes (MWC

Aim: This study aims to test the tensile strength and growth of Candida albicans on Viscogel tissue conditioner when incorporated with coconut oil (CCO) and to compare its efficacy with other antifungal agents.Settings and Design: Evaluative - In-vitro study design.Materials and Methods: Fifty dumbbell-shaped samples (n = 10) of Viscogel tissue con