Results 91 to 100 of about 336,920 (287)

A light‐triggered Time‐Resolved X‐ray Solution Scattering (TR‐XSS) workflow with application to protein conformational dynamics

FEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei, Fredrik Orädd, Konstantinos Magkakis, Magnus Andersson   +3 more
wiley   +1 more source

A martingale analysis of first passage times of time-dependent Wiener diffusion models

, 2016
Research in psychology and neuroscience has successfully modeled decision making as a process of noisy evidence accumulation to a decision bound. While there are several variants and implementations of this idea, the majority of these models make use of ...
Cohen, Jonathan D., Feng, Samuel F., Leonard, Naomi Ehrich, Shenhav, Amitai, Srivastava, Vaibhav   +4 more
core   +1 more source

Impact of Stress‐Induced Hyperglycemia on In‐Hospital Medical Complications in Patients With Acute Stroke: From a Large‐Scale Nationwide Longitudinal Registry

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Aims This study aimed to explore the relationship between stress‐induced hyperglycemia (SIH) and in‐hospital medical complications in patients with acute stroke. Methods We enrolled 865,765 patients with acute stroke from the Chinese Stroke Center Alliance cohort.
Xintong Song, Yi Ju, Hongqiu Gu, Zhikai Zhu, Zixiao Li, Qian Zhang, Xingquan Zhao   +6 more
wiley   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source

Qualitative analysis for a system of generalized Caputo proportional fractional integro-differential equations with multiple time delays

Arab Journal of Basic and Applied Sciences
This study investigates a system of generalized Caputo proportional fractional delay integro-differential equations (CFDIDEs) involving multiple kernels and constant time delays.
Cemil Tunç, Kasım Mansız, Osman Tunç
doaj   +1 more source

Hip Morphology–Based Osteoarthritis Risk Prediction Models: Development and External Validation Using Individual Participant Data From the World COACH Consortium

Arthritis Care &Research, EarlyView.
Objective This study aims to develop hip morphology‐based radiographic hip osteoarthritis (RHOA) risk prediction models and investigates the added predictive value of hip morphology measurements and the generalizability to different populations. Methods We combined data from nine prospective cohort studies participating in the Worldwide Collaboration ...
Myrthe A. van den Berg, Fleur Boel, Michiel M. A. van Buuren, Noortje S. Riedstra, Jinchi Tang, Harbeer Ahedi, Nigel K. Arden, Sita M. A. Bierma‐Zeinstra, Cindy G. Boer, Flavia M. Cicuttini, Timothy F. Cootes, David T. Felson, Willem Paul Gielis, Joshua Heerey, Graeme Jones, Stefan Kluzek, Nancy E. Lane, Claudia Lindner, Joyce B. J. van Meurs, Andrea Mosler, Amanda E. Nelson, Michael C. Nevitt, Edwin H. Oei, Jos Runhaar, Harrie Weinans, Jesse H. Krijthe, Rintje Agricola   +26 more
wiley   +1 more source

MiRitH: Efficient Post-Quantum Signatures from MinRank in the Head

Transactions on Cryptographic Hardware and Embedded Systems
Since 2016’s NIST call for standardization of post-quantum cryptographic primitives, developing efficient post-quantum secure digital signature schemes has become a highly active area of research. The difficulty in constructing such schemes is evidenced
Gora Adj, Stefano Barbero, Emanuele Bellini, Andre Esser, Luis Rivera-Zamarripa, Carlo Sanna, Javier Verbel, Floyd Zweydinger   +7 more
doaj   +1 more source

Validation of a Genetic Risk Score Combined With Clinical Variables for Predicting Pulmonary Fibrosis in Early Rheumatoid Arthritis

Arthritis Care &Research, EarlyView.
Objective Pulmonary fibrosis (PF) is a severe extra‐articular manifestation of rheumatoid arthritis (RA). This study aimed to externally validate a genetic risk score (GRS) and a combined risk score (CRS) for predicting the risk of RA‐associated PF in an independent cohort of patients with early RA.
Mikael Brink, Austin Wheeler, Bryant R. England, Solbritt Rantapää‐Dahlqvist   +3 more
wiley   +1 more source

SMAUG (-T), Revisited: Timing-Secure, More Compact, Less Failure

IEEE Access
SMAUG-T is a Module-LWE/LWR-based Key Encapsulation Mechanism (KEM) scheme, one of the Round 2 candidates in the Korean Post-Quantum Cryptography (KpqC) Standardization Competition.
Jung Hee Cheon, Hyeongmin Choe, Jungjoo Seo, Hyoeun Seong   +3 more
doaj   +1 more source

Hopfield Neural Networks for Online Constrained Parameter Estimation With Time‐Varying Dynamics and Disturbances

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley   +1 more source