Research on hybrid cloud resource scheduling optimization algorithm based on EMPA-ASA. [PDF]
Zhang Z, Gao J, Liu R, Tao Q.
europepmc +1 more source
Advancing Stroke Clinical Trials Using Community Engagement and Implementation Science Approaches
ABSTRACT Stroke clinical trials are essential for advancing stroke care but can face challenges with recruitment, retention, clinical relevance, and translation into real‐world practice. We propose that integrating community engagement and implementation science approaches into stroke trials can help address these needs.
Lesli E. Skolarus +2 more
wiley +1 more source
CONTRIBUTIONS TO MULTI-AGENT SYSTEMS IMPLEMENTATION FOR PROJECT SCHEDULING [PDF]
Increasing project complexity makes scheduling problems more difficult to solve and requires more versatile algorithms. Two different approaches for the project scheduling optimization could be considered: TCPSP (Time-Constrained Project Scheduling), and
Ileana Ruxandra BADEA +1 more
core
Research on QoS-aware resource scheduling for AI computing networks
To meet the quality of service (QoS) requirements of emerging intelligent services such as large language model inference and multi-agent collaboration, constructing an efficient resource scheduling mechanism has become a core issue in AI computing ...
Zhao Ming
doaj
Multi-dimensional joint resource scheduling for 5G eMBB by a PER-branch dual deep Q-network. [PDF]
Xu S, Li Y, Guo J, Mo X, Zhao G.
europepmc +1 more source
Bi‐ and Mono‐Allelic RFC1 Expansion in a North American Cohort With Idiopathic Axonal Neuropathy
ABSTRACT Objective RFC1 biallelic repeat expansion is increasingly recognized as a cause of chronic idiopathic axonal polyneuropathy (CIAP), but it remains challenging to know who to test. This study aims to determine the prevalence of biallelic and monoallelic RFC1 expansions and their corresponding neuropathy phenotypes in CIAP patients and identify ...
Amro M. Stino +25 more
wiley +1 more source
Cloud-Edge Resource Scheduling and Offloading Optimization Based on Deep Reinforcement Learning. [PDF]
Yin L, Xie Y, Zhao Z, Gao J.
europepmc +1 more source
Characterizing Cutaneous α‐Synuclein Deposition and Seeding Activity in Parkinson's Disease Subtypes
ABSTRACT Objective Cutaneous phosphorylated α‐synuclein (p‐syn) and α‐synuclein seeding activity are promising biomarkers for Parkinson's disease (PD), but their clinical value remains uncertain due to disease heterogeneity. This study evaluates these two biomarkers in PD patients to inform phenotype‐specific diagnosis and disease severity assessment ...
Yuting Jin +8 more
wiley +1 more source
Optimization of hospital resource scheduling efficiency based on dynamic weighted distance anomaly detection algorithm. [PDF]
Liu Y, Mai L, Huang F, Zeng Z.
europepmc +1 more source
ABSTRACT Objective To evaluate the expression of nine blood RNA biomarkers in a clinical trial based on genes previously identified in an experimental monkey model of stroke for diagnosis feasibility and prognostication. Methods IBIS‐CT1 was a prospective longitudinal study enrolling patients with ischemic stroke (IS) or intracerebral hemorrhage (ICH ...
Salomé Retailleau +11 more
wiley +1 more source

