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
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
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
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
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
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
An optimal procedure for the resource-constrained project scheduling problem with discounted cash flows and generalized precedence relations. [PDF]
In this paper, we study the resource-constrained project scheduling problem (RCPSP) with discounted cash flows and generalized precedence relations (further denoted as RCPSPDC-GPR).
De Reyck, B, Herroelen, Willy
core
Predictive Value of Composite Inflammatory Markers for Stroke Prognosis: A Prospective Cohort Study
ABSTRACT Background Novel composite inflammatory markers' role in stroke prognosis is understudied, and the best predictor is unclear, requiring further exploration. Objectives This study aimed to systematically evaluate the associations of 6 novel composite inflammatory markers on stroke prognosis.
Bing Wu +7 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

