Results 71 to 80 of about 101,363 (247)
ABSTRACT Objective To delineate specific in vivo white matter pathology in neuronal intranuclear inclusion disease (NIID) using diffusion spectrum imaging (DSI) and define its clinical relevance. Methods DSI was performed on 42 NIID patients and 38 matched controls.
Kaiyan Jiang +10 more
wiley +1 more source
To solve the issue that existing yield prediction methods do not fully capture the interaction between multiple factors, we propose a winter wheat yield prediction framework with triple cross-attention for multi-source data fusion.
Shuyan Pan, Liqun Liu
doaj +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
Sex Differences in Medication Discontinuation in Axial Spondyloarthritis
Objective We examined sex differences in medication discontinuation among patients with axial spondyloarthritis (axSpA) initiating tumor necrosis factor inhibitors (TNFi), interleukin‐17 inhibitors (IL‐17i), or JAK inhibitors (JAKi). Methods Using data from the Rheumatology Informatics System for Effectiveness (RISE) Registry (2003–2025), we assessed ...
Rachael Stovall +9 more
wiley +1 more source
Research on Surface Defects Classification for PET Preform by Fusing Multi-Scale Features
Product quality control is an important component of PET preform production process. In order to improve the accuracy and reliability of PET preform detection, reduce the cost of product quality defects, and improve the overall level of product quality ...
Chunmei Duan +3 more
doaj +1 more source
A Multi‐Scale Time Adaptive Fusion Network for Transformer Fault Diagnosis
Transformer fault diagnosis is crucial for the safe operation of power systems, enabling quick and accurate fault type identification. However, traditional methods struggle with extracting multi‐scale temporal features and high‐order feature ...
XuMing Liu, XiaoKun He, YongLin Li
doaj +1 more source
Multi-View Intrusion Detection Framework Using Deep Learning and Knowledge Graphs
Traditional intrusion detection systems (IDSs) rely on static rules and one-dimensional features, and they have difficulty dealing with zero-day attacks and highly concealed threats; furthermore, mainstream deep learning models cannot capture the ...
Min Li, Yuansong Qiao, Brian Lee
doaj +1 more source
A Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller
Block Diagram of the Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller. ABSTRACT This article introduces a discrete‐time robust adaptive one‐sample‐ahead preview super‐twisting sliding mode controller. A stability analysis of the controller by Lyapunov criteria is developed to demonstrate its robustness in handling both ...
Guilherme Vieira Hollweg +5 more
wiley +1 more source
Innovating Aircraft Repair Processes: The Role of Digitalization in Sustainability
This research explores how digitalization—by storing detailed non‐destructive testing data in structured DICONDE databases and creating a standard data model of the component—innovates aviation maintenance and repair processes. Coupled with a developed state‐based simulation model, it enables data‐driven, sustainable repair strategies that reduce waste,
Johanna Aigner +3 more
wiley +1 more source
Densely integrated multi-branch attentive net for image dehazing
Single image dehazing is a fundamental but challenging task in image processing. Various deep learning-based methods have achieved great dehazing performance.
Ping Zong, Zhen Hua, Jinjiang Li
doaj +1 more source

