Results 71 to 80 of about 26,832 (297)

White Matter Hyperintensity Burden and Short‐Interval Change Associated With Sleep Apnoea in the UK Biobank

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Purpose White matter hyperintensities (WMH) are a core neuroimaging marker of cerebral small vessel disease (CSVD). Sleep apnoea (SA) is a recognized vascular risk factor, but its associations with regional WMH burden, short‐interval WMH change and cognitive performance in population‐based cohorts remain incompletely defined. We
Peng Cheng   +4 more
wiley   +1 more source

Training Large Models on Heterogeneous and Geo-Distributed Resource with Constricted Networks

open access: yesBig Data Mining and Analytics
As the computational demands driven by large model technologies continue to grow rapidly, leveraging GPU hardware to expedite parallel training processes has emerged as a commonly-used strategy.
Zan Zong   +5 more
doaj   +1 more source

Comparative Effectiveness and Safety of Inebilizumab Versus Rituximab in AQP4‐IgG‐Positive NMOSD

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Rituximab (anti‐CD20, RTX) and inebilizumab (anti‐CD19, INE) represent B‐cell‐depleting therapies used for aquaporin‐4 antibody‐positive (AQP4‐IgG+) neuromyelitis optica spectrum disorder (NMOSD); however, direct comparative evidence remains limited.
Jie Lin   +11 more
wiley   +1 more source

Comparison of numerical solution strategies for gravity field recovery from GOCE SGG observations implemented on a parallel platform [PDF]

open access: yesAdvances in Geosciences, 2003
The recovery of a full set of gravity field parameters from satellite gravity gradiometry (SGG) is a huge numerical and computational task. In practice, parallel computing has to be applied to estimate the more than 90 000 harmonic coefficients ...
R. Pail, G. Plank
doaj  

Cloud-based parallel power flow calculation using resilient distributed datasets and directed acyclic graph

open access: yesJournal of Modern Power Systems and Clean Energy, 2018
With the integration of distributed generation and the construction of cross-regional long-distance power grids, power systems become larger and more complex.
Dewen WANG, Fangfang ZHOU, Jiangman LI
doaj   +1 more source

Dynamic, capability-driven scheduling of DAG-based real-time jobs in heterogeneous cluster [PDF]

open access: yes, 2004
In this research a scenario is assumed where periodic real-time jobs are being run on a heterogeneous cluster of computers, and new aperiodic parallel real-time jobs, modelled by Directed Acyclic Graphs (DAG), arrive at the system dynamically.
Nudd, G. R.   +9 more
core   +1 more source

Quantitative MRI Uncovers Subtle Cortical Damage in Myelin Oligodendrocyte Glycoprotein Antibody‐Associated Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether myelin‐sensitive quantitative MRI reveals microstructural abnormalities in normal‐appearing cortex (NACtx) in myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD), indicating that conventional MRI underestimates remission residual cortical injury.
Valentina Camera   +20 more
wiley   +1 more source

Hierarchical distributed edge data aggregation and reporting method based on cluster center selection

open access: yesComplex & Intelligent Systems
With the surge of IoT devices, sensors, and smart terminals has led to distributed data sources and vast volumes of data. These challenges traditional centralized networks and cloud computing architectures, which struggle with bandwidth, latency, and ...
Wensheng Yang, Chengsheng Pan
doaj   +1 more source

A Parallel Parameter Optimization Method Integrated with Job Scheduling System for Supercomputing Applications [PDF]

open access: yesJisuanji gongcheng
High-performance computing architectures have facilitated software and hardware with multi-layer parallel structures. These multi-layered system resources can be assigned to computational tasks distributed across different vertical tiers and horizontal ...
ZHANG Wenshuai, LI Huimin, LI Jing, PAN Bicai
doaj   +1 more source

Distributed Simultaneous Task Allocation and Motion Coordination of Autonomous Vehicles Using a Parallel Computing Cluster [PDF]

open access: yes, 2007
Task allocation and motion coordination are the main factors that should be consi- dered in the coordination of multiple autonomous vehicles in material handling systems. Presently, these factors are handled in different stages, leading to a reduction in optimality and efficiency of the overall coordination.
A. K. Kulatunga   +3 more
openaire   +1 more source

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