Results 181 to 190 of about 28,119 (261)

Placental Blood‐Flow Velocity Quantification From Diffusion MRI

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Altered placental capillary blood flow is closely linked to obstetric complications, yet quantifying capillary‐scale blood velocity remains challenging with existing imaging methods. This is partially because capillary networks form disordered microvascular beds at the voxel scale, rather than coherent, directional vessels.
ZhuangJian Yang   +14 more
wiley   +1 more source

Serum elemental profile‐based machine learning models for Alzheimer's disease identification and cognitive score prediction

open access: yesNeuroprotection, EarlyView.
Serum elemental profiling combined with machine learning supports exploratory Alzheimer's disease (AD) identification and cognitive score prediction. In this retrospective cross‐sectional study, 874 participants from the BANC‐PUMC, including cognitively normal controls and patients with AD, were analyzed.
Haotian Liu   +6 more
wiley   +1 more source

Experimental Comparative Analysis of Hole‐Making Strategies and Cutting Parameters on Flexural Properties and Induced Delamination in S2 Glass and Basalt Fiber‐Reinforced Polymers

open access: yesPolymer Composites, EarlyView.
Hole‐making strategy and machining parameters influence delamination and hole quality in S2‐glass and basalt FRP composites, which subsequently affet flexural performance. Improved hole integrity leads to enhanced structural performance during three‐point bending.
Sara Saeed Abdulrahman Eltahir   +2 more
wiley   +1 more source

Diagnosis of Portal Hypertension: Advancing Towards Non‐Invasive Solutions

open access: yesPortal Hypertension &Cirrhosis, EarlyView.
This review systematically summarizes a full spectrum of non‐invasive diagnostic approaches for portal hypertension (PH), including imaging modalities, elastography, serum biomarkers, composite scoring systems and endoscopic ultrasound‐guided portal pressure gradient (EUS‐PPG), and analyzes their performance across different liver disease etiologies ...
Lijia Yin, Huikuan Chu, Ling Yang
wiley   +1 more source

Hybrid physics–data‐driven modeling for sea ice thermodynamics and transfer learning

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Icepack–NN, a machine‐learning‐based hybrid version of the sea‐ice column model Icepack, is developed to correct state‐dependent forecast errors arising from misspecified snow thermodynamics, using neural networks applied online within the physical model.
G. De Cillis   +7 more
wiley   +1 more source

Home - About - Disclaimer - Privacy