Linear Continuous-Time Regression and Dequantizer for Lithium-Ion Battery Cells with Compromised Measurement Quality by Zoltan Mark Pinter, Mattia Marinelli, M. Scott Trimboli, Gregory L. Plett

“…This paper presents two modular algorithms to improve data quality and enable fast, robust parameter identification. First, the dequantizer algorithm restores the time series generating the noisy, quantized data using the inverse normal distribution function. …”
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The effect of virtual reality-based treadmill gait training on functional mobility and balance in chronic stroke patients: a randomized controlled trial by Seung-Hyeon Han, Hyeon Ju Jang, Jong Weon Lee, Jong Weon Lee, Jin Woong Cheong, Young Dae Kim, Hyo Suk Nam, Deog Young Kim, Deog Young Kim

“…Treadmill training improves walking speed and endurance but lacks real-world adaptability. Virtual reality (VR)-based treadmill training offers immersive, task-specific practice, potentially improving functional mobility in real environments. …”
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A new statistical model with Monte Carlo simulation: Theory and applications in music education and reliability engineering by Yining Wang, Xintao Ma, Xiaowei Huang, ELsiddig Idriss Mohamed, Alhanouf Alburaikan, Huda M. Alshanbari

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Flame Atomic Absorption Determination of Gold Ion in Aqueous Samples after Preconcentration Using 9-Acridinylamine Functionalized γ-Alumina Nanoparticles by Mohammad Karimi, Vahid Amani, Forouzan Aboufazeli, Hamid Reza Lotfi Zadeh Zhad, Omid Sadeghi, Ezzatollah Najafi

“…A simple and sensitive solid phase extraction utilizing 9-acridinylamine functionalized alumina nanoparticles was developed, and their potential use for preconcentration and subsequent determination of gold by flame atomic absorption spectrometry (FAAS) was investigated. …”
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Mid-Water Ocean Current Field Estimation Using Radial Basis Functions Based on Multibeam Bathymetric Survey Data for AUV Navigation by Jiawen Liu, Kaixuan Wang, Shuai Chang, Lin Pan

“…First, the method models the regional unknown current field using radius basis functions (RBFs) and establishes an AUV dead-reckoning model incorporating the current field. …”
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Effect of epigallocatechin-3-gallate (EGCG) on cognitive functioning and the expression of APP and BDNF in the hippocampus of rats with streptozotocin -induced Alzheimer-like disea... by Farnaz Ghayour Babaei, Ehsan Saburi, Fatemeh Forouzanfar, Mohadese Asgari, Zakieh Keshavarzi, Vahid Hajali

“…STZ disrupted the function of animals in MWM acquisition phase by almost 65 % and all doses of EGCG could return the learning parameters to those of control animals. …”
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Assessing the changes in eye optics and visual functions in patients with insulin-dependent type 2 diabetes mellitus and their relationship with blood glucose level by L. A. Mineeva, L. I. Balashevich, A. A. Baranov, L. B. Shubin, A. V. Kabanov

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Advances in Zeroing Neural Networks: Convergence Optimization and Robustness in Dynamic Systems by Xin Zhou, Bolin Liao

“…This paper systematically reviews recent advances in improving the convergence of ZNN models, focusing on the optimization of fixed parameters, dynamic parameters, and activation functions. …”
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An Environment Monitoring and Recording Device for Traction Converter by ZHENG Liangguang, HOU Xiaowei, ZHAO Shuang, ZHOU Feng, HU Chengping

“…In order to monitor the states of working environment and operating condition of traction converter in real time, record abnormal and pre-caution information of environment parameters and key equipment operating parameters,an environment monitoring and recording device for traction converter is designed. …”
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Analysis of the Applicability of the Yukawa Model and Chapman–Enskog Approach for Heated Beryllium at Metallic Density Using Quantum Molecular Dynamics by Moldir Issanova, Nasriddin Djienbekov, Tlekkabul Ramazanov, Gaukhar Omiraliyeva, Sandugash Kodanova, Akmaral Kenzhebekova

“…Using the QMD results for the radial distribution function (RDF), velocity autocorrelation function (VACF), mean-squared displacement (MSD), and the diffusion coefficient of ions, we confidently assess the effectiveness of the Yukawa one-component plasma model in describing ion structure and transport properties. …”
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Metabolic Health Consequences of Switching to the Bictegravir/Emtricitabine/Tenofovir Alafenamide and Dolutegravir Plus Lamivudine Regimens in Virologically Suppressed People Livin... by Shi J, Zhang W, Han J, Zhang Z, Yan D, Zheng R, Li F, Wang Y

“…This study aimed to evaluate the safety and metabolic health consequences of two switched regimens in a real-world setting among virologically suppressed PLWH previously treated with EFV/TDF/3TC.Methods: This retrospective real-world study in Hangzhou included 220 virologically suppressed PLWH who switched from EFV/TDF/3TC to DTG/3TC or B/F/TAF between January 1, 2020 and October 30, 2023. …”
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PyCSBtool: Python-Based GUI Learning Tool for Basics Control System Education by C. H. Manathunga, R. A. D. D. Dharmasiri, W. K. Indika L. Wanniarachchi, M. K. Jayananda, Tadachika Nakayama

“…These features allow students to experiment with different parameters and observe system responses in real time, enhancing their understanding of control system dynamics. …”
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Marine fish species recognition based on improved YOLOv5s by ZHANG Haifeng, LU Xinchun, FENG Bo, YANG Jin

“…Improved some C3 modules of the backbone network, and integrated CA coordination attention mechanism into the C3 module, which improved the recognition accuracy and detection speed of the model while reducing the number of model parameters. Finally, optimized the path aggregation network of the model to enhance the feature fusion ability of the network.ResultsThe experimental results showed that the improved Our⁃YOLOv5s model had a mAP of 98.4% and a detection speed of 64 s-1 in the dataset, which was 2.4% and 6 s-1 higher than the original model, respectively.ConclusionThe model can meet the real⁃time detection requirements of marine fish.…”
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AHN-YOLO: A Lightweight Tomato Detection Method for Dense Small-Sized Features Based on YOLO Architecture by Wenhui Zhang, Feng Jiang

“…The key innovations of AHN-YOLO include (1) the introduction of an ADown module to reduce model parameters; (2) the adoption of a Normalized Wasserstein Distance (NWD) loss function to stabilize small-feature detection; and (3) the proposal of a lightweight hybrid attention mechanism, Light-ES, to enhance focus on disease regions. …”
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Reinforcement Q-Learning-Based Adaptive Encryption Model for Cyberthreat Mitigation in Wireless Sensor Networks by Sreeja Balachandran Nair Premakumari, Gopikrishnan Sundaram, Marco Rivera, Patrick Wheeler, Ricardo E. Pérez Guzmán

“…The model also incorporates a dynamic hyperparameter tuning mechanism that optimally adjusts learning rates and exploration parameters based on real-time network feedback. Experimental evaluations conducted in a simulated WSN environment demonstrate the effectiveness of the proposed framework, achieving a 30.5% reduction in energy consumption, a 92.5% packet delivery ratio (PDR), and a 94% mitigation efficiency against multiple cyberattack scenarios, including DDoS, black-hole, and data injection attacks. …”
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Impact of Stimulation Duration in taVNS—Exploring Multiple Physiological and Cognitive Outcomes by Till Bömmer, Luisa M. Schmidt, Katharina Meier, Julius Kricheldorff, Heiko Stecher, Christoph S. Herrmann, Christiane M. Thiel, Kathrin Janitzky, Karsten Witt

“…Yet, there is still uncertainty about the most effective stimulation and reliable outcome parameters. In a double blind, sham-controlled study including a sample of healthy young individuals (<i>N</i> = 29), we compared a shorter (3.4 s) and a longer (30 s) stimulation duration and investigated the effects of taVNS (real vs. sham) on saliva samples (alpha amylase and cortisol concentration), pupil (pupillary light reflex and pupil size at rest) and EEG data (alpha and theta activity at rest, ERPs for No-Go signals), and cognitive tasks (Go/No-Go and Stop Signal Tasks). …”
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Developing an advanced safety device for bridge-type cranes by A. N. Nazarov, S. D. Ivanov

“…The accuracy of operating parameters determination in conditions of real technological process satisfies the requirements of normative documentation. …”
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Machine learning-enabled multiscale modeling platform for damage sensing digital twin in piezoelectric composite structures by Somnath Ghosh, Saikat Dan, Preetam Tarafder

“…Artificial neural network operates on micro-electro-mechanical data to derive PUCCDM constitutive coefficients as functions of underlying representative aggregated microstructural parameters (RAMPs). …”
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Quality assurance through truncated life tests under the Lomax distribution by Aafaq A. Rather, Ahmed R. El-Saeed, Danish Qayoom, Zahoor Ahmad, H. E. Semary, Getachew Tekle Mekiso, Eslam Hussam, Ahmed M. Gemeay

“…The effectiveness of these sampling plans is demonstrated through their application to real-world data, assessing their practical utility in quality evaluation.…”
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Toward improving precision and complexity of transformer-based cost-sensitive learning models for plant disease detection by Manh-Tuan Do, Manh-Hung Ha, Duc-Chinh Nguyen, Oscal Tzyh-Chiang Chen, Oscal Tzyh-Chiang Chen

“…Furthermore, we adopted the SIoU loss function, a modified version of CIoU, applied to the YOLOv8s model, demonstrating a substantial improvement in accuracy. …”
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