Many real-life combinatorial optimization problems are subject to a high degree of dynamism, while, simultaneously, a certain level of synchronization among agents and discount greenery events is required.Thus, for instance, in ride-sharing operations, the arrival of vehicles at pick-up points needs to be synchronized with the times at which users

The heat and mass transfer characteristics of natural convection about a vertical surface embedded in a saturated porous medium subject to variable viscosity are numerically analyzed, by taking into account the diffusion-thermo (Dufour) and thermal-diffusion (Soret) effects.The governing equations of continuity, momentum, energy, and concentrations

Understanding the lower limb biomechanical characteristics of chronic ankle instability (CAI) individuals and copers could provide the insight into the mechanism of repetitive lateral ankle sprains (LAS).Thus, the aim of this study was to investigate the lower limb joint angles, joint moments, and joint stiffness among u11-200ps CAI, copers and hea

IntroductionRepresentation learning allows artificial intelligence (AI) models to learn useful features from large, unlabelled datasets.This can reduce the need for labelled data across a range of downstream tasks.It was hypothesised that wave segmentation would be a useful form of electrocardiogram (ECG) representation learning.In addition to redu

Continuous satellite-derived cloud records now extend over three decades, and are increasingly used for climate applications.Certain applications, such as trend detection, require a clear understanding of uncertainty as it relates to establishing statistical significance.The use of reanalysis products as sources of ancillary data could be construed