Results 61 to 70 of about 6,773,813 (277)
CoRR, 2022 This paper proposes an original methodology to compute the regions of attraction in hyperbolic and polynomial nonlinear dynamical systems using the eigenfunctions of the discrete-time approximation of the Koopman operator given by the extended dynamic mode decomposition algorithm.
Camilo Garcia-Tenorio +3 more
openaire +3 more sources
Molecular Oncology, EarlyView.Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley +1 more source
EEG-Based Detection of Induced Relaxation
IEEE AccessRelaxation, 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
IEEE Control Systems Letters, 2023 Extended Dynamic Mode Decomposition (EDMD) is a popular data-driven method to approximate the action of the Koopman operator on a linear function space spanned by a dictionary of functions. The accuracy of EDMD model critically depends on the quality of the particular dictionary's span, specifically on how close it is to being invariant under the ...
Masih Haseli, Jorge Cortés 0001
openaire +2 more sources
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 +3 more
wiley +1 more source
Advancing Logistics Management: E3L-Net for Predictive Demand Analytics
IEEE AccessThe 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
FEBS 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
IEEE AccessTransmission 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
IEEE Access, 2022 This paper proposes a data-centric model predictive control (MPC) for supplemental control of a DFIG-based wind farm (WF) to improve power system stability.
Ahmed Husham +3 more
doaj +1 more source
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
Annals 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