Comparative Analysis of Ventilatory Responses during Stress Tests in Patients with Chronic Pain: Implications for Therapeutic Interventions by Patricio Barría, María Gaitán-Padilla, Daniel Gomez-Vargas, Gonzalo Cardenas Ampuero, Kay Gitterman, Bessie Cordova, Camilo A. R. Diaz, Flavio Roberti

“…Both populations face unique challenges that impact their ability to engage in physical activity; yet, the underlying physiological responses can vary significantly. …”
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Application of the Modified Method of ant Colonies to Search for Rational Assignment of Employees to Tasks Using Fuzzy Sets by V. A. Sudakov, Yu. P. Titov

“…For the evaporation coefficient, it is recommended to choose a value in the range (0.8; 0.95). …”
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Metronome-guided training accelerates the adaptation to an aerobic training pace in swimming by Marco Fassone, Marco Fassone, Luca Puce, Monica Biggio, Laura Avanzino, Laura Avanzino, Marco Bove, Marco Bove, Ambra Bisio, Ambra Bisio

“…This study investigated these stages by assessing the ability of swimmers to reproduce a learned pace without a metronome. …”
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Fiber optical WDM multiplexers/demultiplexers with low bending losses by D. A. Ivanov

“…The results obtained showed that when mechanical stresses in the fused structure of the multiplexer occur, the change in the optical isolation coefficient at two operating wavelengths does not exceed 1 dB.…”
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Optimizing intelligent reflecting surface assisted visible light communication networks under blockage and practical constraints using TLBO for IoT applications by Vipul Dixit, Ajit Kumar, Nishant Sharan, Shikha Pandey, Atul Kumar, Ram Sewak Singh

“…A detailed investigation is conducted on the achievable SNR performance of the TLBO-optimized IRS-VLC system, demonstrating its ability to maintain robust and reliable communication in obstructed areas. …”
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DeepAT: A Deep Learning Wheat Phenotype Prediction Model Based on Genotype Data by Jiale Li, Zikang He, Guomin Zhou, Shen Yan, Jianhua Zhang

“…Deep learning has become an important tool for phenotype prediction due to its abilities in automatic feature learning, nonlinear modeling, and high-dimensional data processing. …”
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Thermal analysis and optimal fluid selection for the novel integrated vapor compression cycle and ORC system for ultra-low grade waste heat recovery using the desuperheating method by Muhammad Asim, Sheheryar Khan, Shahid Ali Khan, Taha Baig, Muhammad Imran, Abdul Wasy Zia, Fahid Riaz, Michael K.H. Leung

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Comparative Study on Total Organic Carbon Content Logging Prediction Method Based on Machine Learning by TANG Shengshou, YANG Bin, JIN Jiulong, LIU Hongrui, DAI Xingyu, PU Jincheng

“…In this paper, the sensitive parameters for the prediction of total organic carbon content are selected based on the Pearson correlation coefficient matrix, and three machine learning methods are used to model the total organic carbon content. …”
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Translation and validation of the Saint Louis University Mental Status (SLUMS) Exam for older adults in Thailand: The SLUMS-Thai by Komwat Rungruang, Pornpun Manasatchakun, Sarinya Polsingchan

“…The tool’s ability to differentiate between different cognitive states was proven by the Discriminant Index, which ranged from 0.23 to 0.62.  …”
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Numerical and Experimental Study of a Hydrodynamic Analysis of the Periodical Fluctuation of Bio-Inspired Banded Fins by Chonglei Wang, Qihang Liu, Junhao Yang, Chunyu Guo

“…By using a method of controlling variables, such as wave number, swing angle, and frequency, where only one independent variable is changed at a time while the others remain constant, the impact on thrust coefficient function and the obtained periodic variation laws governing hydrodynamic performance are studied. …”
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Evaluating the Thermal Shock Resistance of SiC-C/CA Composites Through the Cohesive Finite Element Method and Machine Learning by Qiping Deng, Yu Xiong, Zirui Du, Jinping Cui, Cheng Peng, Zhiyong Luo, Jinli Xie, Hailong Qin, Zhimin Sun, Qingfeng Zeng, Kang Guan

“…Silicon carbide-coated carbon fiber-reinforced carbon aerogel (SiC-C/CA) composites are ideal for high-temperature applications due to their ability to endure rapid temperature changes without losing structural integrity. …”
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A segmentation-combination data augmentation strategy and dual attention mechanism for accurate Chinese herbal medicine microscopic identification by Xiaoying Zhu, Xiaoying Zhu, Guangyao Pang, Guangyao Pang, Xi He, Xi He, Yue Chen, Yue Chen, Zhenming Yu

“…Additionally, a shallow-deep dual attention module enhances the model's ability to focus on relevant features across different layers. …”
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Evaluation of the Extreme Precipitation and Runoff Flow Characteristics in a Semiarid Sub-Basin Based on Three Satellite Precipitation Products by Rosalía López Barraza, María Teresa Alarcón Herrera, Ana Elizabeth Marín Celestino, Armando Daniel Blanco Jáquez, Diego Armando Martínez Cruz

“…We used the bias volume (%), MSE, correlation coefficient, and median bias to evaluate the ability of satellite products to detect and analyze extreme precipitation and run flow events. …”
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Psychometric validation of the severity of chronic cough diary, leicester cough questionnaire, and a cough severity visual analogue scale in patients with refractory chronic cough by Andrew Trigg, Nathan Clarke, Christoph Gerlinger, Ulrike Krahn, Adam Gater, Claudia Haberland

“…SCCD Cough Frequency and Cough Severity, LCQ Total and Physical domain, and Cough Severity VAS scores demonstrated strong test-retest reliability (Intraclass correlation coefficient ≥ 0.848) among participants defined as stable between Week 3 and Week 4 according to Patient Global Impression of Severity (PGI-S) ratings and Awake Cough Count readings. …”
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Prediction of black soldier fly larval sex and morphological traits using computer vision and deep learning by Sarah Nawoya, Quentin Geissmann, Henrik Karstoft, Kim Bjerge, Roseline Akol, Andrew Katumba, Cosmas Mwikirize, Grum Gebreyesus

“…In the analysis of larval weight prediction, a coefficient determination (R2) of up to 0.80 between measured and predicted weight was achieved using the morphometric weight prediction approach, along with an R2 of 0.71 through the CNN-regression approach. …”
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Advanced ERT techniques for methane potential evaluation in controlled dump sites: A forward modeling approach by Pornchanok Boonsakul, Desell Suanburi, Sirintornthep Towprayoon, Chart Chiemchaisri, Komsilp Wangyao

“…Forward modeling confirmed the WS array's ability to provide high-resolution subsurface imaging, enhancing CH₄ hotspot detection. …”
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Information and measuring system on the basis of strain sensors based on silicon microcrystals by A. O. Druzhinin, O. P. Kutrakov, S. I. Nichkalo, V. M. Stasiv

“…This simplifies the problem of compensation of the temperature errors, which are typical for such sensors. The temperature coefficient of resistance for strain gauges was found to be 0.15%/°N. …”
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BIOFILM-FORMING MECHANISMS IN DIABETIC FOOT SYNDROME PATHOGENS: ADHESIVE PROPERTIES AND INTERACTION IN ASSOCIATIONS by Yuliia V. Ivanova, Svitlana M. Gramatiuk, Igor A. Kryvoruchko, Mykola M. Goloborodko, Kyrylo V. Miasoiedov, Mykhailo V. Knyhin, Vitalii S. Strakhovetskyi

“…The adhesive properties of the isolated pathogens were evaluated calculating the average adhesion index, erythrocyte participation coefficient and microbial adhesion index. The biofilm-forming abilities were assessed after biofilm formation in vitro by determining the optical density. …”
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A comprehensive evaluation of satellite-based and reanalysis soil moisture products over the upper Blue Nile Basin, Ethiopia by Addis A. Alaminie, Sofie Annys, Jan Nyssen, Mark R. Jury, Giriraj Amarnath, Muluneh A. Mekonnen, Seifu A. Tilahun

“…However, the lack of sufficient in situ monitoring networks limits the ability to perform a thorough evaluation. Establishing these networks is essential for improving satellite retrievals and modelling in the upper Blue Nile Basin, Ethiopia.…”
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Bilateral Geiger mode avalanche in InSe Schottky photodiodes by Dongyang Zhao, Yan Chen, Tao Hu, Hechun Cao, Xuefeng Zhao, Yu Jia, Xudong Wang, Hong Shen, Jing Yang, Yuanyuan Zhang, Xiaodong Tang, Wei Bai, Jianlu Wang, Junhao Chu

“…Such device architecture also enables low dark current and noise equivalent power, showing weak light signals detection ability down to around 35 photons at room temperature. …”
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