Results 81 to 90 of about 990,651 (297)
Machine Learning Methods for Seismic Hazards Forecast
In this paper, we suggest two machine learning methods for seismic hazard forecast. The first method is used for spatial forecasting of maximum possible earthquake magnitudes ( M m a x ), whereas the second is used for spatio-temporal forecasting
Valeri G. Gitis +1 more
doaj +1 more source
ABSTRACT Background There is growing recognition of the potential of plasma proteomics for Alzheimer's Disease (AD) risk assessment and disease characterization. However, differences between proteomics platforms introduce uncertainties regarding cross‐platform applicability.
Manyue Hu +9 more
wiley +1 more source
Neural network algorithm for optical-SAR image registration based on a uniform grid of points
The paper considers the problem of satellite multimodal image registration, in particular, optical and SAR (Synthetic Aperture Radar). Such algorithms are used in object detection, change detection, navigation.
V.V. Volkov, E.A. Shvets
doaj +1 more source
A novel reliable low-latency multipath routing scheme for vehicular ad hoc networks
In this paper, the existing ad hoc on demand multipath distance vector (AOMDV) routing scheme for vehicular ad hoc networks (VANETs) is extended to a reliable low-latency multipath routing (RLLMR) scheme based on multipath link reliability, capable of ...
Fakhar Abbas, Pingzhi Fan, Zahid Khan
doaj +1 more source
Autosomal Recessive Spastic Ataxia of Charlevoix‐Saguenay in Two Half‐Siblings
ABSTRACT Autosomal recessive spastic ataxia of Charlevoix‐Saguenay (ARSACS) is caused by biallelic pathogenic variants in the SACS gene. We report the clinical, radiologic and neurophysiologic features of a pair of half‐siblings who presented with progressive cerebellar ataxia, peripheral neuropathy and upper motor neuron signs.
Dennis Yeow +6 more
wiley +1 more source
Insights Into the Antigenic Repertoire of Unclassified Synaptic Antibodies
ABSTRACT Objective We sought to characterize the sixth most common finding in our neuroimmunological laboratory practice (tissue assay‐observed unclassified neural antibodies [UNAs]), combining protein microarray and phage immunoprecipitation sequencing (PhIP‐Seq). Methods Patient specimens (258; 133 serums; 125 CSF) meeting UNA criteria were profiled;
Michael Gilligan +22 more
wiley +1 more source
ABSTRACT Objective This study aimed to systematically observe the clinical manifestations, immune cell subsets, and dynamic changes in serological indicators in patients with myasthenia gravis (MG) before and after efgartigimod (EFG) treatment. Methods We analyzed the baseline data, laboratory parameters, and lymphocyte subset proportions in MG ...
Tiancheng Luo +9 more
wiley +1 more source
Remote Monitoring in Myasthenia Gravis: Exploring Symptom Variability
ABSTRACT Background Myasthenia gravis (MG) is a rare, autoimmune disorder characterized by fluctuating muscle weakness and potential life‐threatening crises. While continuous specialized care is essential, access barriers often delay timely interventions. To address this, we developed MyaLink, a telemedical platform for MG patients.
Maike Stein +13 more
wiley +1 more source
High-Fidelity Quantum Information Transmission Using a Room-Temperature Nonrefrigerated Lossy Microwave Waveguide [PDF]
Montasir Qasymeh, Hichem Eleuch
openalex +1 more source
Functional and Structural Evidence of Neurofluid Circuit Aberrations in Huntington Disease
ABSTRACT Objective Disrupted neurofluid regulation may contribute to neurodegeneration in Huntington disease (HD). Because neurofluid pathways influence waste clearance, inflammation, and the distribution of central nervous system (CNS)–delivered therapeutics, understanding their dysfunction is increasingly important as targeted treatments emerge.
Kilian Hett +8 more
wiley +1 more source

