Comparative Effects of Narrow vs. Wide Cuff Blood Flow Restriction on Muscle Synergy Dynamics: A Time-Frequency Decomposition Approach by Shuai Chang, Chenxi Hu

“…This study investigates how different cuff widths affect muscle activation and synergy during squat exercises under BFRT conditions, using wavelet packet transform combined with non-negative matrix factorization (WPT-NNMF) for time-frequency analysis of muscle synergy. …”
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Mechanical equipment fault diagnosis method based on improved deep residual shrinkage network. by Shaoming Qiu, Liangyu Liu, Yan Wang, Xinchen Huang, Bicong E, Jingfeng Ye

“…By verifying the effectiveness of the proposed method using Case Western Reserve University datasets, the results demonstrate that the proposed method not only possesses strong noise resistance in high noise environments but also achieves high diagnostic accuracy and good generalization performance under different load conditions.…”
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Enhancement Ear-based Biometric System Using a Modified AdaBoost Method by Abdulkareem Merhej Radhi, Subhi Aswad Mohammed

“…To assess the proposed system's performance. method, the classification accuracy has been compared using different types of classifiers. …”
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Real-Time Wave Energy Converter Control Using Instantaneous Frequency by Inyong Kim, Ted K. A. Brekken, Solomon Yim, Brian Johnson, Yue Cao, Pranav Chandran

“…Two real-time frequency estimation methods are explored: the Hilbert Transform (HT) and Phase-Locked Loop (PLL). …”
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Winter Wheat SPAD Prediction Based on Multiple Preprocessing, Sequential Module Fusion, and Feature Mining Methods by Ying Nian, Xiangxiang Su, Hu Yue, Sumera Anwar, Jun Li, Weiqiang Wang, Yali Sheng, Qiang Ma, Jikai Liu, Xinwei Li

“…To tackle these issues, this study develops an integrated processing strategy incorporating multiple preprocessing techniques, sequential module fusion, and feature mining methods. Initially, the original spectrum (OS) from 2021, 2022, and the fusion year underwent preprocessing through Fast Fourier Transform (FFT) smoothing, multiple scattering correction (MSC), the first derivative (FD), and the second derivative (SD). …”
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Algoritmo para el cálculo de la transformada Z inversa utilizando DERIVE // Algorithm for the calculation of the transformed inverse Z using the mathematical assistant DERIVE. by D. Galán Martínez, R. Brito González

“…</p><p>_______________________________________________________________________</p><p>Abstract<br />One of the mathematical tools more used in engineering in the study of the denominated systems of data control samples is<br />the transformed Z. The transformed Z like as an operational method can be used in the resolution of equations in finite<br />differences; which formulate the dynamics of the systems of data control samples. …”
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EFFICIENCY OF THE EXPLANATORY AND ILLUSTRATIVE METHOD IN THE COURSE OF TEACHING THERMODYNAMICS WITHIN THE CURRICULUM OF THE TRAINING OF BACHELORS MAJORING IN 184 MINING by Kozinets Inna, Trofymova Olena

“…The article examines the explanatory and illustrative method during teaching the academic discipline “Thermodynamics” to higher education institutions students. …”
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Transformer‐based representation learning and multiple‐instance learning for cancer diagnosis exclusively from raw sequencing fragments of bisulfite‐treated plasma cell‐free DNA... by Jilei Liu, Hongru Shen, Yichen Yang, Meng Yang, Qiang Zhang, Kexin Chen, Xiangchun Li

“…Here, we present a deep‐learning‐based approach for early cancer interception and diagnosis (DECIDIA) that can achieve accurate cancer diagnosis exclusively from bisulfite‐treated cfDNA sequencing fragments. DECIDIA relies on transformer‐based representation learning of DNA fragments and weakly supervised multiple‐instance learning for classification. …”
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Zooming Into Precision: The Zoom TFD for High-Resolution Analysis of Non-Stationary Signals by Nisreen Said Amer, Samir Brahim Belhaouari

“…Zoom TFD takes a different approach, integrating adaptive Fourier Transform windowing with a minimization-based spectral selection mechanism. …”
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Application of MCDM Methods to Optimal Consensus Protocol Selection for Blockchain-Based IoT Networks by Ruslan Ospanov, Nurlan Tashatov, Dina Satybaldina, Yerzhan Seitkulov, Banu Yergaliyeva, Kuat Utebayev

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Life Prediction Method of Remanufactured Machinery Equipment Based on Vibration Signal Feature Extraction by Bin Li, Le Kui, Jingdong Luo, Shiyong Chen

“…Using amplitude spectrum analysis, Hilbert envelope demodulation and wavelet packet decomposition method, and other vibration signal processing methods, preliminary extraction of multiple statistical feature parameters are given. …”
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Low-carbon power planning method for power system with high proportion of renewable energy by LI Lingyu, CHENG Haozhong, ZHANG Heng, YUAN Zijun, WANG Zheng, LU Jianzhong

“…Moreover, aiming at the uncertainties of wind power in the model, the sample average approximation method is employed to transform the proposed model into a mixed-integer linear programming formulation. …”
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Aegle marmelos Mediated Green Synthesis of Different Nanostructured Metal Hexacyanoferrates: Activity against Photodegradation of Harmful Organic Dyes by Vidhisha Jassal, Uma Shanker, B. S. Kaith

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Straightness monitoring of scraper conveyor based on CUDA-accelerated dynamic programming and optimized panoramic stitching by LI Bo, SHI Shouyi, ZHANG Jianjun, XIA Rui, WANG Xuewen, CUI Weixiu, NI Qiang

“…A homography matrix for image perspective transformation was calculated using the random sample consensus (RANSAC) algorithm. …”
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Application of Log Lithofacies Classification Model Based on Clustering-Support Vector Classification Method by HE Xianhong, LI Kesai, XU Jiacheng, FU Meiyan, YANG Yufei, SUN Jiaqi

“…It is also difficult to identify the lithofacies and establish an accurate porosity and permeability model in this area by using conventional log identification methods. In order to solve those problems, the wavelet transform method is used to complete the division of different lithofacies stratigraphic boundaries according to the morphological characteristics of logging curves. …”
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Synthesis of Zinc Sulfide Nanoparticles by Chemical Coprecipitation Method and its Bactericidal Activity Application by Razhan S. Othman, Rebaz A. Omar, Karzan A. Omar, Aqeel I. Gheni, Rekar Q. Ahmad, Sheyma M. Salih, Avan N. Hassan

“…The different amounts of ZnS nanoparticle were applied as bactericidal against Staphylococcus aureus by disk diffusion method. …”
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Evaluation of FIR bandpass filter and Welch method implementation for centrifugal pump fault detection by Dedik Romahadi, Aberham Genetu Feleke, Tri Wahyu Adinarto, Dafit Feriyanto, Agung Wahyudi Biantoro, Fatkur Rachmanu

“…While previous studies have primarily used spectral amplitude results from the Fast Fourier Transform to analyze engine vibrations, we propose a different approach in this study. …”
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A Method to Improve Computational Efficiency of Productivity Evaluation with Rectangular Coalbed Methane Reservoir by Li Chen, Sun Lichun, Sun Hansen, Feng Ruyong, Wang Cunwu, Zhang Fang

“…According to the characteristics of the Riley method and discrete method, an accurate and efficient analytical solution calculation process is designed. …”
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Estimation of Canopy Water Content by Integrating Hyperspectral and Thermal Imagery in Winter Wheat Fields by Chenkai Gao, Shuimiao Liu, Pengnian Wu, Yanli Wang, Ke Wu, Lingyun Li, Jinghui Wang, Shilong Liu, Peimeng Gao, Zhiheng Zhao, Jing Shao, Haolin Yu, Xiaokang Guan, Tongchao Wang, Pengfei Wen

“…The objectives of this study were to characterize the performance of two varieties at different growth stages under five water stress conditions and screen hyperspectral sensitive spectral bands by using continuous wavelet transform (CWT) and a <b>successive projection algorithm (SPA).…”
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Empagliflozin attenuates ventricular fibrillation postmyocardial infarction associated with reduced transforming growth factor-1/Smad3 signaling and miR-181a expression by Jingsong Shen, Min Huang, Zixu Ye, Yuling Jing, Ziyang Yuan, Zeming Xiang, Miao Ding, Tao Li, Qiang Ye

“…No dose-dependent differences were observed between the groups. Conclusions Empagliflozin attenuates postmyocardial infarction ventricular arrhythmias and fibrosis associated with the suppression of transforming growth factor-β1/Smad3 signaling and miR-181a expression, enhancing cardiac function. …”
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