Results 81 to 90 of about 275,780 (304)

Exam‐level analysis of lecture capture viewing and student exam performance

FEBS Open Bio, EarlyView.
This study asks how lecture capture relates to exam performance in biology courses with three noncumulative exams. Mixed‐effects modeling separated between‐students from within‐student effects on exam %. Students who watched more recordings earned higher grades, but viewing spikes above a student's own mean, consistent with cramming, predicted small ...
Kirk Hillsley
wiley   +1 more source

Multiplicative Dynamic Mode Decomposition

SIAM Journal on Applied Dynamical Systems
24 pages, 13 figures.
Nicolas Boullé, Matthew J. Colbrook
openaire   +2 more sources

Altered Dynamic Functional Network Connectivity in Post‐Stroke Aphasia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Previous studies examining post‐stroke aphasia (PSA) patients via resting‐state functional magnetic resonance imaging (rs‐fMRI) have predominantly focused on static functional connectivity. In contrast, the current investigation aims to elucidate the alterations in dynamic functional network connectivity (dFNC) among PSA patients ...
Guihua Xu, Yongsheng Wu, Junyu Qu, Rui Zhu, Wenwen Xu, Jiaxiang Xin, Dawei Wang   +6 more
wiley   +1 more source

High dynamic range spatial mode decomposition

Optics Express, 2020
An accurate readout of low-power optical higher-order spatial modes is of increasing importance to the precision metrology community. Mode sensors are used to prevent mode mismatches from degrading quantum and thermal noise mitigation strategies. Direct mode analysis sensors (MODAN) are a promising technology for real-time monitoring of arbitrary ...
A. W. Jones, M. Wang, C. M. Mow-Lowry, A. Freise   +3 more
openaire   +4 more sources

The Relationship Between Inflammation and Central Nervous System in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Aim Multiple sclerosis is an autoimmune demyelination disease that is seen especially in the young population and has a progressive course, causing motor, sensory, and cognitive deficits. In the literature, the pathogenesis of MS disease and the interconnection between the immune and central nervous system in the disease have not been fully ...
Gamze Ansen, Ali Behram Salar, Abdulkadir Ermis, Erkingul Birday, Lutfu Hanoglu, Bayram Ufuk Sakul   +5 more
wiley   +1 more source

Research on Dynamic Measurement Method of Flow Rate in Tea Processing

Sensors, 2022
Tea flow rate is a key indicator in tea production and processing. Due to the small real−time flow of tea leaves on the production line, the noise caused by the transmission system is greater than or close to the real signal of tea leaves. This issue may
Zhangfeng Zhao, Gaohong Liu, Yueliang Wang, Jiyu Peng, Xin Qiao, Jiang Zhong   +5 more
doaj   +1 more source

On Convergence of Extended Dynamic Mode Decomposition to the Koopman Operator

, 2017
Extended Dynamic Mode Decomposition (EDMD) is an algorithm that approximates the action of the Koopman operator on an $N$-dimensional subspace of the space of observables by sampling at $M$ points in the state space.
Korda, Milan, Mezić, Igor
core   +1 more source

Optimized Time–Frequency Analysis for Induction Motor Fault Detection Using Hybrid Differential Evolution and Deep Learning Techniques

International Journal of Adaptive Control and Signal Processing, EarlyView.
Workflow of the parameter optimization process for ITSC fault detection, applying Differential Evolution optimization and the Smooth Pseudo Wigner‐Ville Distribution for signal processing. The optimized parameters are then used in the failure identification pipeline, which combines the signal processing with a YOLO‐based architecture for fault severity
Rafael Martini Silva, Avyner Lorran de Oliveira Vitor, Marcelo Favoretto Castoldi, Alessandro Goedtel, Wesley Angelino Souza   +4 more
wiley   +1 more source

Dynamic Mode Decomposition Analysis of Spatially Agglomerated Flow Databases

Energies, 2020
Dynamic Mode Decomposition (DMD) techniques have risen as prominent feature identification methods in the field of fluid dynamics. Any of the multiple variables of the DMD method allows to identify meaningful features from either experimental or ...
Binghua Li, Jesús Garicano-Mena, Yao Zheng, Eusebio Valero   +3 more
doaj   +1 more source

Data‐Driven Distributed Safe Control Design for Multi‐Agent Systems

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents a data‐driven control barrier function (CBF) technique for ensuring safe control of multi‐agent systems (MASs) with uncertain linear dynamics. A data‐driven quadratic programming (QP) optimization is first developed for CBF‐based safe control of single‐agent systems using a nonlinear controller. This approach is then extended to the
Marjan Khaledi, Bahare Kiumarsi
wiley   +1 more source