Results 171 to 180 of about 30,783 (226)
RehabMate: an explainable framework for action detection and corrective feedback in pediatric stroke rehabilitation. [PDF]
Huang S, Chen Z, Liu Y.
europepmc +1 more source
Antithrombin: Deficiency, Diversity, and the Future of Diagnostics
ABSTRACT Our healthcare system provides reactive sick‐care, treating patients after symptoms have appeared by prescription of generic and often suboptimal therapy. This strategy brings along high costs and high pressure which is not sustainable.
Mirjam Kruijt +2 more
wiley +1 more source
IoT Forensics: Current Perspectives and Future Directions. [PDF]
Ahmed AA +4 more
europepmc +1 more source
Quantifying Protein–Glycan Interactions Using Native Mass Spectrometry
ABSTRACT Interactions between glycan‐binding proteins (GBPs) and carbohydrates (glycans) are essential to many biological processes relevant to human health and disease. For most GBPs, however, their glycan interactome—the repertoire of glycans recognized and their specificities—is poorly defined.
Duong T. Bui +4 more
wiley +1 more source
Temporal Tampering Detection in Automotive Dashcam Videos via Multi-Feature Forensic Analysis and a 1D Convolutional Neural Network. [PDF]
Shinwari AR, Khairuddin UB, Haniff MFB.
europepmc +1 more source
Advancements in Mass Spectrometry‐Based Glycomics in Food and Nutritional Science
ABSTRACT This review highlights advancements in mass spectrometry (MS)‐based glycomics in food and nutritional science. Carbohydrates, which are vital for human health, exhibit complex structures, making their analysis challenging. MS has become an indispensable tool for elucidating the structures of carbohydrates, including glycans, through soft ...
JaeHui Song +3 more
wiley +1 more source
Image Forensics in the Encrypted Domain. [PDF]
Yu Y, Lu Y, Li L, Chen F, Yan X.
europepmc +1 more source
We present a technical feasibility study validating two mobile 1.5 T MRI scanners against a stationary system using a five‐subject test‐retest protocol (N = 50 datasets). Following relocation, hardware performance remained stable, with no systematic bias in B0 homogeneity or B1+ maps.
Christoph Stefan Aigner +9 more
wiley +1 more source
A Survey for Deep Reinforcement Learning Based Network Intrusion Detection
This paper surveys deep reinforcement learning (DRL) for network intrusion detection, evaluating model efficiency, minority attack detection, and dataset imbalance. Findings show DRL achieves state‐of‐the‐art results on public datasets, sometimes surpassing traditional deep learning.
Wanrong Yang +3 more
wiley +1 more source
Dataset of Windows operating system forensics artefacts. [PDF]
Marková E +3 more
europepmc +1 more source

