Motivation meets sleep: tuning arousal via nucleus accumbens and Basal Ganglia circuits. [PDF]
Sayegh FJP, Bonnavion P.
europepmc +1 more source
Preferentially oriented MnNCN nanosheets with high active (003) facets were synthesized by an aqueous weak solvent‐coordination strategy, and highly integrated MnNCN/CNT composite was in‐situ constructed as a high‐capacity fast‐charging anode. NCM811//MnNCN/CNT pouch cell exhibits a high energy density of 325 Wh kg−1 with a long cycle‐life over 200 ...
Penghui Guo +11 more
wiley +1 more source
Sustainable Control of Carbon Emissions and Energy Consumption Through a Green Data Center Approach. [PDF]
Afzal Y +8 more
europepmc +1 more source
Bismuth Chalcogenide‐Based Photocatalysts for Nitrogen Reduction: Recent Progress and Prospects
Bismuth chalcogenides emerge as promising visible‐light photocatalysts for sustainable ammonia synthesis, driven by tunable electronic structures and strong N2 activation. Recent advances reveal how defects, doping and heterojunction design synergistically enhance charge separation and reactivity. Key challenges and future directions highlight pathways
Mukesh K. Verma +4 more
wiley +1 more source
Energy-conscious scheduling in edge environments: hybridization of traditional control and DE algorithm. [PDF]
Ma K, Xu L.
europepmc +1 more source
Multimodal Fluorescent MOF@BODIPY Platform: Bridging Sensing and Mechanistic Insight
ABSTRACT Hybrid metal–organic frameworks (MOFs) that integrate organic chromophores constitute powerful platforms for optical sensing by combining structural order with tunable photophysics. Incorporating photoresponsive chromophores into MOFs enables sensitive probing of guest–framework interactions through well‐defined luminescent signatures. Herein,
Alejandro Cortés‐Villena +8 more
wiley +1 more source
Deep patch-clamp recordings in awake mice from medial septal neurons during hippocampal sharp-wave ripples. [PDF]
Samejima H +3 more
europepmc +1 more source
Energy Flexibilization and Demand Response for a Novel Decentralized Power‐to‐Methanol Process
This study presents the results of an optimization framework for the scheduling of a Power‐to‐methanol process coupled with an electrolyser, renewable energy sources and a battery. The optimal dynamic operating schedule is computed with different configurations and boundary conditions, showing the advantages of flexible operation.
Max Kollmer +5 more
wiley +1 more source
A fusion deep Q-learning and particle swarm optimization algorithm for adaptive resource allocation in cloud computing circumstances. [PDF]
Al-Jumaili AHA +4 more
europepmc +1 more source
An Efficient Virtual Machine Consolidation Algorithm for Cloud Computing. [PDF]
Yuan L, Wang Z, Sun P, Wei Y.
europepmc +1 more source

