Hand Tremor Characterization from a Spatiotemporal Convolutional Representation by Jessica Pedraza Cadena, John Edinson Archila Valderrama, Franklin Sierra-Jerez, Alejandra Moreno Tarazona, Fabio Martínez Carrillo

“…Moreover, a set of explainability maps is computed by backpropagating output gradients into convolutionally learned spatio-temporal maps. …”
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Using a Camera System for the In-Situ Assessment of Cordon Dieback due to Grapevine Trunk Diseases by Julie Tang, Olivia Yem, Finn Russell, Cameron A. Stewart, Kangying Lin, Hiranya Jayakody, Matthew R. Ayres, Mark R. Sosnowski, Mark Whitty, Paul R. Petrie

“…The performance of the models was evaluated on the metrics of highest confidence, highest dieback score, and average dieback score across multiple detections. …”
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Effect of Weight Distribution on Knee Joint Temperature Pattern Under Fatigue Condition by Marta Spataro, Davide Crisafulli, Cristiano De Marchis, Giacomo Risitano, Dario Milone

“…These conditions can be diagnosed and monitored using various imaging techniques, such as radiography, computed tomography, and magnetic resonance imaging. …”
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Three-Dimensional Analysis of the Association Between the Characteristics of the Included Maxillary Canines and the Lateral Incisors by Paula Fernández-Polo, Grace Aguayo-Linares, Elena Martínez-Madero, Jaime Montarelo, Tania Pérez-Martín, Conchita Martin

“…Methods: The sample comprised 50 impacted canines, evaluated using cone-beam computed tomography (CBCT). …”
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A Closed Queueing Networks Approach for an Optimal Heterogeneous Fleet Size of an Inter-Facility Bulk Material Transfer System by Mohamed Amjath, Laoucine Kerbache, James MacGregor Smith

“…The optimisation problem is formulated as a mixed-integer nonlinear programming (MINLP), falling into the NP-Hard, making exact solution computation challenging. A numerical approximation method, a modified sequential quadratic programming (SQP) method coupled with a mean value analysis (MVA) algorithm, is employed to overcome this challenge. …”
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Shuffled Puma Optimizer for Parameter Extraction and Sensitivity Analysis in Photovoltaic Models by En-Jui Liu, Rou-Wen Chen, Qing-An Wang, Wan-Ling Lu

“…The robustness and stability of SPO are comprehensively evaluated through comparisons with advanced algorithms based on best fitness, mean fitness, and standard deviation. …”
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Machine learning based parameter estimation for an adapted finite element model of a blade bearing test bench by Luca Faller, Matthis Graßmann, Timo Lichtenstein

“…The developed methodology is evaluated using the example of bolt preload on the test bench. …”
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Characteristics of the Static Zigzag-Triangle Frequency Converter by Kalinin L.P., Zaitsev D.A., Tirsu M.S., Golub I.V., Pogorletsky V.M., Kaloshin D.N

“…Structural-simulation models were built and computational experiments were carried out for electrical communication combining two power systems with frequencies of 60 and 50 Hz and 50 and 49.6 Hz, respectively. …”
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Peripheral blood cell profile and monocyte–high-density lipoprotein ratio in Alzheimer’s disease: a hospital-based case-control study by Husniye A. Dikbas, Demet Seker, Oguz Dikbas

“…The purpose of this research was to examine MHR alterations in AD and to assess its feasibility as a straightforward and easily computable biomarker for evaluating the severity of the disease. …”
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Modeling Physical and Physiological Processes Reveals the Role of Turbulence in the Prerequisites for Microcystis Blooms by Na Li, Xueping Gao, Bowen Sun

“…We performed model sensitivity analysis and evaluated the effects of turbulence intensity and duration on the biomass and vertical distribution of Microcystis. …”
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A mathematical model that predicts human biological age from physiological traits identifies environmental and genetic factors that influence aging by Sergiy Libert, Alex Chekholko, Cynthia Kenyon

“…A genome-wide association study (GWAS) of ∆Age and analysis of environmental factors associated with ∆Age identified known as well as new factors that may influence human aging, including genes involved in synapse biology and a tendency to play computer games. We identify a small number of readily measured physiological traits that together assess a person’s biological age and may be used clinically to evaluate therapeutics designed to slow aging and extend healthy life.…”
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Radiomic‐based biomarkers: Transforming age and body composition metrics into personalized age‐informed indices by Radin Alikhani, Steven R. Horbal, Amy E. Rothberg, Manjunath P. Pai

“…Future research focusing on evaluating this hypothesis in human subject studies is acknowledged.…”
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Optimized machine learning algorithms with SHAP analysis for predicting compressive strength in high-performance concrete by Samuel Olaoluwa Abioye, Yusuf Olawale Babatunde, Oluwafikejimi Abigail Abikoye, Aisha Nene Shaibu, Bailey Jonathan Bankole

“…The results establish ML as an effective approach for HPC strength prediction, offering advantages in computational efficiency and accuracy over conventional analytical methods.…”
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Comparison of ECG Between Gameplay and Seated Rest: Machine Learning-Based Classification by Emi Yuda, Hiroyuki Edamatsu, Yutaka Yoshida, Takahiro Ueno

“…A balanced dataset of 5 min and 10 min segments was evaluated using k-fold cross-validation (k = 3, 4, 5). …”
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An algorithm of unordered wavefront propagation in terahertz phase retrieval with dense multiplane data acquisition by E.G. Tsiplakova, A. Chopard, N.S. Balbekin, O.A. Smolyanskaya, J.-B. Perraud, J.-P. Guillet, P. Mounaix, N.V. Petrov

“…Iterative phase retrieval algorithms from multiple diffraction patterns in the terahertz (THz) frequency range are a promising tool of computational imaging capable of providing high spatial resolution of reconstructed phase images. …”
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Optimizing AI-Driven EdTech Solutions for Enhanced English Learning: A TOPSIS Approach by Liu Yang, Lu Li, Li Wang

“…This research demonstrates how AI has advanced in education from simple computer-assisted language learning to complex AI-driven platforms like chatbots and intelligent systems for teaching. …”
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Single-Loop Triple-Diameter Pulsating Heat Pipes at Reduced Heat Input: A CFD Study on Inner Diameter Optimization by Rasoul Fallahzadeh, Masoud Hatami Garousi, Luca Pagliarini, Fabio Bozzoli, Luca Cattani

“…Therefore, to improve the overall performance of TD-PHPs, this study used two-dimensional transient computational fluid dynamics simulations to identify the optimal inner tube diameters for TD-PHPs at a low heat input by evaluating the thermal resistance of five TD-PHPs with various inner diameters. …”
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SCITUNA: single-cell data integration tool using network alignment by Aissa Houdjedj, Yacine Marouf, Mekan Myradov, Süleyman Onur Doğan, Burak Onur Erten, Oznur Tastan, Cesim Erten, Hilal Kazan

“…Despite numerous proposed batch correction methods, many still have limitations, such as outputting only dimension-reduced data, relying on computationally intensive models, or resulting in overcorrection for batches with diverse cell type composition. …”
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Myoelectric Control in Rehabilitative and Assistive Soft Exoskeletons: A Comprehensive Review of Trends, Challenges, and Integration with Soft Robotic Devices by Alejandro Toro-Ossaba, Juan C. Tejada, Daniel Sanin-Villa

“…Key contributions include critically evaluating machine learning-based motion prediction, model-free adaptive control methods, and real-time validation strategies to enhance rehabilitation outcomes. …”
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Design and implementation of a low-cost datalogger for solar irradiance and PV module temperature by Edickson Bobo Yungho, Eustace Mbaka Nfah, Tchendjeu Achille Ecladore Tchahou

“…Consequently, the irradiance determined by the maximum power point method with ambient temperature can be used to evaluate the performance of photovoltaic modules using the single-diode model.…”
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