Toward Symmetry in Accessible Restrooms Design: Integrating KE, RST, and SVM for Optimized Emotional-Functional Alignment by Zimo Chen, Jingwen Tian, Hongtao Zhou, Duan Wu

“…The exhaustive prediction of 15,750 feasible design combinations pinpointed an optimal configuration; follow-up user testing confirmed the improvement in satisfaction (mean 5.1 on a seven-point scale). The KE–RST–SVM workflow thus offers a reproducible, data-driven path for harmonizing emotional and functional objectives in inclusive restroom design, and can be extended to other barrier-free facilities.…”
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Multiscale metal-based nanocomposites for bone and joint disease therapies by Yuwen Wang, Hasnain Jan, Zheng Zhong, Liangbin Zhou, Kexin Teng, Ye Chen, Jiankun Xu, Denghui Xie, Dexin Chen, Jiake Xu, Ling Qin, Rocky S. Tuan, Zhong Alan Li

“…Bone and joint diseases are debilitating conditions that can result in significant functional impairment or even permanent disability. …”
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Estimation of elbow flexion torque using equilibrium optimizer on feature selection of NMES MMG signals and hyperparameter tuning of random forest regression by Raphael Uwamahoro, Raphael Uwamahoro, Kenneth Sundaraj, Farah Shahnaz Feroz

“…Yet, the lack of direct muscle strength measurement techniques has prompted previous research to deploy joint torque estimation using machine learning models. …”
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Optimizing Screw Fixation in Total Hip Arthroplasty: A Deep Learning and Finite Element Analysis Approach by Jacob Stroud, Emily T. Yan, Jacob Anthony, Kyle Walker, Chung-Hyun Goh

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Dynamic damping under introduction of additional couplings and external actions by S. V. Eliseev, A. S. Mironov, Quang Truc Vuong

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A Novel Compliant Four-Bar Mechanism-Based Universal Joint Design and Production by Raşit Karakuş

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Trajectory Tracking of a Wall-Climbing Cutting Robot Based on Kinematic and PID Joint Optimization by Xiaoguang Liu, Zhenmin Wang, Jing Wu, Hongmin Wu, Hao Zhang

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Sports Biomechanics Analysis: Assisting Effectiveness Evaluations for Wearable Compliant Elbow Joint Powered Exoskeleton by Huibin Qin, Kai Liu, Zefeng Zhang, Jie Zheng, Zhili Hou, Lina Li, Ruiqin Li

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Learning Discrete-Time Uncertain Nonlinear Systems With Probabilistic Safety and Stability Constraints by Iman Salehi, Tyler Taplin, Ashwin P. Dani

“…The controlled dynamic model of a discrete-time system with a zero-mean Gaussian process noise is approximated using an Extreme Learning Machine (ELM) whose parameters are learned subject to chance constraints derived using a discrete-time control barrier function and discrete-time control Lyapunov function in the presence of the ELM reconstruction error. …”
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Numerical simulation study on wear of universal joints in aircraft high lift systems by QUAN Li, KANG Ning, SHAO Qinwen, XI Bowei, LIU Zongxing

“…Universal joint torque tube assembly is used in flaperon transmission system of high lift system, and the study on material wear performance for the main function and fatigue life of aircraft can provide the certain guiding value for the anti-wear design of universal joints. …”
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Multi-Scale Analysis of Knee Joint Acoustic Signals for Cartilage Degeneration Assessment by Anna Machrowska, Robert Karpiński, Marcin Maciejewski, Józef Jonak, Przemysław Krakowski, Arkadiusz Syta

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Jointly Optimized Placement of Application VM and VNF in NFV Based Data Center by Dandan Qi, Ruijun Gu

“…On the other hand, Network Function Virtualization (NFV) decouples middlebox function (also called network function) software from specified appliances, and deploys it onto general shared servers by virtualization technology. …”
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Integrating Machinery Safety Functions Into Functional Safety for Process Industry by Gregor Schmitt-Pauksztat, Dirk Hablawetz, Marco Knödler, Dominic de-Kerf, Christian Demski, Marc Risser, Ugo Dehner

“…From a Process Industry point of view, the integration of Machinery Safety Functions into Functional Safety for Process Safety has always been a challenge. …”
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Physics-Informed Deep Learning for Three Dimensional Black Holes by Emad Yaraie, Hossein Ghaffarnejad, Mohammad Farsam

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Democratization of Point-of-Care Viral Biosensors: Bridging the Gap from Academia to the Clinic by Westley Van Zant, Partha Ray

“…While traditional laboratory methods remain essential, point-of-care solutions are critical for decentralized testing at the population level. …”
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AnkleImage - An ultrafast ultrasound image dataset to understand the ankle joint muscle contractility by Qiang Zhang, Noor Hakam, Oluwasegun Akinniyi, Ashwin Iyer, Xuefeng Bao, Nitin Sharma

“…Ankle joint dorsiflexion and plantarflexion functionalities mainly account for ground clearance and propulsion power generation during locomotion tasks, where those functionalities are driven by the contraction of ankle joint skeleton muscles. …”
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Operating Point Optimization of Agricultural Tractor–Implement Combinations as Constraint Optimization Problem by Benjamin Kazenwadel, Marina Graf, Lukas Michiels, Marcus Geimer

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Multi-Objective Optimization Design of Dual-Spindle Component Based on Coupled Thermal–Mechanical–Vibration Collaborative Analysis by Xiaoliang Lin, Yiming Xie, Xiaolei Deng, Jing Tian, Yue Han, Peng Wang

“…To comprehensively improve the thermal, static and dynamic characteristics and achieve lightweighting for CNC machine tools, this paper proposes a multi-objective joint optimization method based on coupled thermal–mechanical–vibration collaborative analysis. …”
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Structural design and experiment of automatic cooking machine by ZHANG Fan, NING Meng, DENG Qian

“…<b>Methods:</b> The modular design method oriented to function and structure was adopted to design each module mechanism of the frying machine. …”
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Advances in Corneal Diagnostics Using Machine Learning by Noor T. Al-Sharify, Salman Yussof, Nebras H. Ghaeb, Zainab T. Al-Sharify, Husam Yahya Naser, Sura M. Ahmed, Ong Hang See, Leong Yeng Weng

“…Several diagnostic techniques, such as corneal topography, are crucial points of discussion. This paper also examines the use of machine learning models, specifically Decision Tree and Nearest Neighbor Analysis, which enhance the accuracy of diagnosing based on topographical corneal parameters from corneal topography. …”
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