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GABA Receptor Modulation of Membrane Excitability in Human Pluripotent Stem Cell-Derived Sensory Neurons by Baclofen and α-Conotoxin Vc1.1.
J Neurochem
January 2025
Molecular Horizons, Faculty of Science, Medicine and Health, University of Wollongong, Wollongong, New South Wales, Australia.
GABA receptor (GABAR) activation is known to alleviate pain by reducing neuronal excitability, primarily through inhibition of high voltage-activated (HVA) calcium (Ca2.2) channels and potentiating G protein-coupled inwardly rectifying potassium (GIRK) channels. Although the analgesic properties of small molecules and peptides have been primarily tested on isolated murine dorsal root ganglion (DRG) neurons, emerging strategies to develop, study, and characterise human pluripotent stem cell (hPSC)-derived sensory neurons present a promising alternative.
View Article and Find Full Text PDFThe Design and Application of an Assistive Hip Joint Exoskeleton for Tower Climbing.
Sensors (Basel)
November 2024
School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China.
Article Synopsis
- * A control algorithm utilizing neural networks was created to optimize the climbing process, and an experiment was conducted to test the robot with volunteers.
- * The results indicated that the exoskeleton reduced muscle strain (measured through sEMG signals) in key muscles, confirming its effectiveness in aiding personnel during tower climbing tasks.
Detection of partial discharge patterns in hybrid high voltage power transmission lines based on parallel recognition method.
PeerJ Comput Sci
May 2024
University of Sheffield, Sheffield, United Kingdom.
Due to their specially designed structures, the partial discharge detection of hybrid high-voltage power transmission lines (HHVPTL) composed of overhead lines and power cables has made it difficult to monitor the conditions of power transmission lines. A parallel recognition method for partial discharge patterns of HHVPTLs is proposed by implementing wavelet analysis and improved backpropagation neural network (BPNN) to address the shortcomings of low efficiency, poor accuracy, and inability to parallel analysis of current partial discharge (PD) detection algorithms for HHVPTLs. Firstly, considering the non-smoothness of the partial discharge of the HHVPTLs, the wavelet packet decomposition algorithm is implemented to decompose the PD of the HHVPTL and resolve the relevant signal indicators to form the attribute vectors.
View Article and Find Full Text PDFFault diagnosis of HVCB via the subtraction average based optimizer algorithm optimized multi channel CNN-SABO-SVM network.
Sci Rep
November 2024
College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, 266590, China.
The mechanical fault diagnosis of HVCB is important to ensure the stability of electric power systems. Aiming at the problem of poor diagnostic performance of deep learning methods under limited samples, this paper proposes an HVCB operating mechanism fault diagnosis model (multi-channel CNN-SABO-SVM, MCCSS) based on multimodal data fusion features and Subtraction-Average-Based Optimizer (SABO). This model extracts and fuses features from the input two-dimensional data using a multi-channel CNN network and then uses the multimodal data fusion features to diagnose HVCB faults.
View Article and Find Full Text PDFFault Diagnosis Method for Converter Stations Based on Fault Area Identification and Evidence Information Fusion.
Sensors (Basel)
November 2024
Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, China.
DC converter stations have a high voltage level, a long transmission distance, and complex internal equipment, and contain power electronic devices, which seriously endanger the stable operation of the system itself and the active distribution network at the receiving end when faults occur. Accurate fault analysis and diagnosis are critical to the safe and stable operation of power systems. Traditional fault diagnosis methods often rely on a single source of information, leading to issues such as insufficient information utilization and incomplete diagnostic scope when applied to DC transmission systems.
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