AI Model Optimizes High-Density Rail Transit Signals
A new Markov Decision Process model using reinforcement learning significantly reduces wait times and fuel consumption in high-density rail transit.
A new Markov Decision Process model using reinforcement learning significantly reduces wait times and fuel consumption in high-density rail transit.
A new Grifola frondosa mutant, D24, developed via protoplast-mediated DES mutagenesis, shows 62.78% greater mycelial biomass and 111.11% higher protein ...
Process visualization feedback combined with structured reflection significantly altered translation behaviors, resource search strategies, and performance trajectories among postgraduate translation ...
A process evaluation of the German MundZaRR trial found that staffing shortages and resident-related challenges led to substantial inconsistencies when ...
A qualitative study in the Journal of Child and Family Studies examines the processes leading to child marriage among vulnerable ...
A comprehensive review article published in the journal City and Built Environment systematically analyzes 99 studies conducted between 2018 and ...
A cross-sectional network analysis of Chinese couples reveals key dyadic coping patterns and relationship adjustment differences during pregnancies complicated by ...
An optimized four-enzyme extraction process boosted phenolic and flavonoid yields from rosehip pseudofruit by roughly 50 percent over ethanol-water extraction ...
Pseudomonas sp. ABC1 forms a cohesive pellicle in open, non-sterile cultures, acting as a discovery-stage ecological chassis for next-generation industrial ...
A qualitative health professions education study identified five themes showing how compassion develops through revised understandings of patient distress, vulnerability, ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine