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Emotion Recognition Based on a EEG-fNIRS Hybrid Brain Network in the Source Space.
Brain Sci
November 2024
College of Electronic Information Engineering, Taiyuan University of Technology, Taiyuan 030600, China.
: Studies have shown that emotion recognition based on electroencephalogram (EEG) and functional near-infrared spectroscopy (fNIRS) multimodal physiological signals exhibits superior performance compared to that of unimodal approaches. Nonetheless, there remains a paucity of in-depth investigations analyzing the inherent relationship between EEG and fNIRS and constructing brain networks to improve the performance of emotion recognition. : In this study, we introduce an innovative method to construct hybrid brain networks in the source space based on simultaneous EEG-fNIRS signals for emotion recognition.
View Article and Find Full Text PDFMM-DRPNet: A multimodal dynamic radial partitioning network for enhanced protein-ligand binding affinity prediction.
Comput Struct Biotechnol J
December 2024
College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, 266580, Shandong, China.
Accurate prediction of drug-target binding affinity remains a fundamental challenge in contemporary drug discovery. Despite significant advances in computational methods for protein-ligand binding affinity prediction, current approaches still face substantial limitations in prediction accuracy. Moreover, the prevalent methodologies often overlook critical three-dimensional (3D) structural information, thereby constraining their practical utility in computer-aided drug design (CADD).
View Article and Find Full Text PDFA precision agriculture solution for water stress estimation in Hass avocado farms in Colombia.
Sci Rep
December 2024
Department of Biomedical Engineering, University of Los Andes, Bogotá, Colombia.
Agriculture 4.0 technologies continue to see low adoption among small and medium-sized farmers, primarily because these solutions often fail to account for the specific challenges of rural areas. In this work, we propose and implement a design methodology to develop a Precision Agriculture solution aimed at assisting farmers in managing water stress in Hass avocado crops.
View Article and Find Full Text PDFCore Payload of the Space Gravitational Wave Observatory: Inertial Sensor and Its Critical Technologies.
Sensors (Basel)
November 2024
Center for Gravitational Wave Experiment, National Microgravity Laboratory, Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China.
Since Einstein's prediction regarding the existence of gravitational waves was directly verified by the ground-based detector Advanced LIGO, research on gravitational wave detection has garnered increasing attention. To overcome limitations imposed by ground vibrations and interference at arm's length, a space-based gravitational wave detection initiative was proposed, which focuses on analyzing a large number of waves within the frequency range below 1 Hz. Due to the weak signal intensity, the TMs must move along their geodesic orbit with a residual acceleration less than 10 m/s/Hz.
View Article and Find Full Text PDFA Three-Stage Cellular Automata Model of Complex Large Roundabout Traffic Flow, with a Flow-Efficiency- and Safety-Enhancing Strategy.
Sensors (Basel)
November 2024
Yangtze Delta Region Academy of Beijing Institute of Technology, Jiaxing 314019, China.
Intelligent transportation systems (ITSs) present new opportunities for enhanced traffic management by leveraging advanced driving behavior sensors and real-time information exchange via vehicle-based and cloud-vehicle communication technologies. Specifically, onboard sensors can effectively detect whether human-driven vehicles are adhering to traffic management directives. However, the formulation and validation of effective strategies for vehicle implementation rely on accurate driving behavior models and reliable model-based testing; in this paper, we focus on large roundabouts as the research scenario.
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