Results 51 to 60 of about 17,477 (250)

EEG-Based Detection of Induced Relaxation

open access: yesIEEE Access
Relaxation, which refers to the absence of tension and stress, is important for health because extended periods of tension may lead to illness. This study detected induced relaxation through electroencephalography (EEG) for the real-time monitoring of ...
Bunyarat Umsura   +5 more
doaj   +1 more source

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

open access: yesFEBS 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   +3 more
wiley   +1 more source

Advancing Logistics Management: E3L-Net for Predictive Demand Analytics

open access: yesIEEE Access
The essence of smart logistics lies in leveraging information resources and intellectual assets to efficiently and precisely match the multidimensional demands and supplies within the logistics system.
Yao Lu
doaj   +1 more source

Model-Free Geometric Fault Detection and Isolation for Nonlinear Systems Using Koopman Operator

open access: yesIEEE Access, 2022
This paper presents a model-free fault detection and isolation (FDI) method for nonlinear dynamical systems using Koopman operator theory and linear geometric technique.
Mohammadhosein Bakhtiaridoust   +3 more
doaj   +1 more source

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

open access: yesFEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill   +4 more
wiley   +1 more source

Looseness Identification of Transmission Tower Based on Inertial Measurement

open access: yesIEEE Access
Transmission towers play a critical role in power systems. In this study, we propose an innovative approach for the structural health monitoring of transmission towers with the aim of accurately identifying structural looseness and its location ...
Liuyang Shen, Jinxian Yang
doaj   +1 more source

Koopman for stochastic dynamics: error bounds for kernel extended dynamic mode decomposition

open access: yesCoRR
36 pages, 3 ...
Maximiliano Hertel   +3 more
openaire   +2 more sources

Molecular dynamics simulations of positively selected codons in FcγRI reveal novel biochemical binding properties

open access: yesFEBS Open Bio, EarlyView.
Evolutionary analysis across 32 placental mammals identified positive selection at residues H148 and W149 in the immune receptor FcγR1. Ancestral reconstruction combined with molecular dynamics simulations reveals how these mutations may influence receptor structure and dynamics, providing insight into the evolution of antibody recognition and immune ...
David A. Young   +7 more
wiley   +1 more source

Numerical Calculation Method for Crack Dynamic Propagation Based on Newmark Implicit Time Integration Scheme

open access: yesShanghai Jiaotong Daxue xuebao, 2021
Extended finite element method (XFEM) is based on the idea of unit decomposition. The jump function that can reflect the discontinuity of the crack surface and the progressive displacement field function of the crack tip is added to the conventional ...
GUO Deping, LI Zheng, PENG Senlin, ZENG Zhikai, WU Daifeng
doaj   +1 more source

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif   +17 more
wiley   +1 more source

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