Results 111 to 120 of about 265,367 (299)

Secure Transceiver Based on Independent Component Analysis (ICA) Algorithm

International Journal of Intelligent Engineering and Systems, 2021
Dheyaa Al-Zuhairi, Abbas Hameed, Isam Hameed   +2 more
openaire   +1 more source

Beyond the Classroom: Cognitive and Educational Insights Into Gameplay‐Based Second Language Learning

Future in Educational Research, EarlyView.
ABSTRACT This pilot study investigated how the narrative‐rich Chinese AAA game Black Myth: Wukong supports advanced Mandarin learners. Using reflective journals, semi‐structured interviews, and exploratory electroencephalogram (EEG), we examined learners' cognitive, affective, and cultural experiences.
ShuPei Wang, Yina Patterson, Maren Wenger   +2 more
wiley   +1 more source

A Comprehensive Review on the Significance, Sources, and Applications of Virtual Water on Global Platform

Food Safety and Health, EarlyView.
A conceptual framework of virtual water showing its sources, major applications, components of the virtual water footprint, and emerging future directions. The diagram emphasizes the growing role of virtual water in global sustainability and resource planning.
Priti Bhowmik, Charu Rajpal, Vinay Kumar Pandey   +2 more
wiley   +1 more source

Metabolic Signatures and Diagnostic Prediction Models for Coronary Artery Disease and Type 2 Diabetes Mellitus: Insights From an Exploratory Study

iNew Medicine, EarlyView.
Metabolomic & lipidomic analysis reveals metabolic overlap between CAD & T2DM, highlighting 7 key metabolites as potential biomarkers. A predictive model based on these achieves high accuracy, potentially advancing precision medicine & metabolic insights.
Zhihua Wang, Meiming Su, Ying Li, Yapei Li, Shuo Chen, Ting Peng, Hans Strijdom, Jiangang Wang, Jianping Weng, Suowen Xu   +9 more
wiley   +1 more source

Magnetocardiography combined with machine learning for pulmonary hypertension detection and improved short‐term risk assessment

Interdisciplinary Medicine, EarlyView.
Magnetocardiography (MCG) enables non‐invasive mapping of cardiac magnetic fields. In this study, an MCG‐based machine learning model detects pulmonary hypertension with robust performance. Furthermore, MCG features may improve the accuracy of short‐term risk assessment.
Yuankun Qi, Jiaqi Liang, Kai Ma, Xiaoyu Hu, Yu Zhang, Xiaole Han, Dong Xu, Xu Zhang, Xiaopei Cui, Min Xiang, Hongyu Zhang, Jiancheng Fang   +11 more
wiley   +1 more source

Blind Source Separation of Single-Channel Ship Radiated Noise Based on VMD-FastICA

水下无人系统学报
To address the challenge of separating different target ship radiated noise signals from mixed signals under extreme conditions where only a single-channel signal is available, a blind source separation algorithm under single-channel conditions was ...
Yuwei LI, Huiyuan WANG
doaj   +1 more source

False alarm rates of fault detection methods

Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2018
This study focuses on the fault detection (FD) andfalse alarm rates (FAR) of Principal component analysis (PCA) and independent component analysis (ICA)algorithms on the Tennessee Eastman (TE) process.
Yusuf Sevim
doaj   +1 more source

Reduced occurrence of alpha waves during resting state predicts high attention‐deficit/hyperactivity disorder traits in young adults

JCPP Advances, EarlyView.
Abstract Background Attention‐deficit/hyperactivity disorder (ADHD) is a neurodevelopmental condition with significant cognitive and social impacts. Identifying reliable biomarkers for ADHD is crucial for developing personalised therapies. Electroencephalography (EEG) alpha oscillations (8–12 Hz) have been suggested as a potential biomarker, but ...
Julio Rodriguez‐Larios, Ümit Aydin, Gráinne McLoughlin   +2 more
wiley   +1 more source

TVICA - Time Varying Independent Component Analysis and Its Application to Financial Data [PDF]

Source extraction and dimensionality reduction are important in analyzing high dimensional and complex financial time series that are neither Gaussian distributed nor stationary.
Ray-Bing Chen, Wolfgang Härdle, Ying Chen   +2 more
core  

Reward processing in children with affective dysregulation

JCPP Advances, EarlyView.
Abstract Background Affective dysregulation (AD) in children is characterized by irritability, anger, and frequent intense temper outbursts. Considerable evidence implies altered processing of frustration about missed rewards, but few studies investigated the preceding and thus potentially predictive reward anticipation and initial delivery processing ...
Pascal‐M. Aggensteiner, Francisca Giller, Nathalie Holz, Anna Kaiser, Christine Igel, Sarah Hohmann, Manfred Döpfner, Veit Roessner, Christian Beste, Tobias Banaschewski, Daniel Brandeis, on behalf ofthe ADOPT Consortium   +11 more
wiley   +1 more source