Optimal design of hollow conductor for high‐speed synchronous motor exploiting adaptive‐sampling radial basis function algorithm by Ruiye Li, Peng Cheng, Hai Lan

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Research on the functions and potential mechanisms of STAT3 in chronic myelogenous leukemia by Xiaoyun Feng, Yufeng Qin, Yulong Feng, Yingquan Zhuo

“…The construction of gene-disease networks reveals that these genes not only participate in the occurrence and development of CML but also jointly participate in multiple disease processes. …”
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Joint Effects of Lifestyle Habits and Heavy Metals Exposure on Chronic Stress Among U.S. Adults: Insights from NHANES 2017–2018 by Esther Ogundipe, Emmanuel Obeng-Gyasi

“…This study aims to investigate the joint effects of lifestyle habits and environmental factors on AL, using data from the NHANES 2017–2018 cycle. …”
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Optimizing Access Point Placement in Industrial IoT: A Deep Reinforcement Learning Approach With Q-Learning Verification and Signal Heatmap Visualization by Manash Mahanta, Attaphongse Taparugssanagorn, Kenta Umebayashi

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Point-SPV: end-to-end enhancement of object recognition in simulated prosthetic vision using synthetic viewing points by Ashkan Nejad, Ashkan Nejad, Ashkan Nejad, Burcu Küçükoǧlu, Jaap de Ruyter van Steveninck, Sandra Bedrossian, Joost Heutink, Joost Heutink, Gera A. de Haan, Gera A. de Haan, Frans W. Cornelissen, Marcel van Gerven

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FATIGUE DEVICE FOR TESTING ANKLE JOINT ENDOPROSTHESES by Cristian TOADER-PASTI, Dan Ioan STOIA, Mirela TOTH-TAŞCĂU

“…The concept of the testing device relies on two aspects: almost any type of ankle prosthesis can be tested on it and it has to work on INSTRON axial-torsion testing machine. Starting from these requirements, a 3D functional assembly that reproduces the real movement of the ankle joint during gait cycle has been designed. …”
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A machine learning model for predicting worsening renal function using one‐year time series data in patients with type 2 diabetes by Mari Watanabe, Shu Meguro, Kaiken Kimura, Michiaki Furukoshi, Tsuyoshi Masuda, Makoto Enomoto, Hiroshi Itoh

“…ABSTRACT Background and Aims To prevent end‐stage renal disease caused by diabetic kidney disease, we created a predictive model for high‐risk patients using machine learning. Methods and Results The reference point was the time at which each patient's estimated glomerular filtration rate (eGFR) first fell below 60 mL/min/1.73 m2. …”
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Prediction of the Gross Motor Function Measure-66 in Ambulant Children with Cerebral Palsy Based on Instrumental Gait Analysis Using Machine-Learning Algorithms by Stephanie Gross, Karoline Spiess, Stefanie Steven, Maja Zimmermann, Eckhard Schoenau, Ibrahim Duran

“…The Gross Motor Function Measure-66 (GMFM-66, range of values: 0 to 100 points) is one of the most widely used clinical tests to quantify motor function in children with cerebral palsy (CP). …”
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Probability Density Functions for Travel Times in One-Dimensional and Taxicab Service Zones Parameterized by the Maximal Travel Duration of the S/R Machine Within the Zone by Todor Todorov

“…The probability density function (PDF) of the travelling time for a semi-random trip in a one-dimensional zone is expressed analytically for all possible locations of its starting point. …”
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A Perspective on Rehabilitation Through Open-Source Low-Cost 3D-Printed Distal to the Wrist Joint Transitional Prosthetics: Towards Autonomous Hybrid Devices by Florin-Felix Răduică, Ionel Simion, Ioana-Cătălina Enache, Elena Narcisa Valter, Alessandro Naddeo

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Integrated CAD/CAM Approach for Parametric Design and High-Precision Microfabrication of Planar Functional Structures Comprising Radially Oriented V-Grooves by Jonas T. Churchill-Baird, O. Remus Tutunea-Fatan, Evgueni V. Bordatchev

“…MFB3 combines inputs from MFB1 with parameters related to cutting tool geometry, cutting strategy, and process planning, producing functional NC code for the machine tool. The approach focuses on micromachining radial V-grooves on planar surfaces, requiring precise alignment and multi-axis single-point diamond cutting (SPDC) with rotation tool center point (RTCP) support. …”
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Serum metabolic fingerprints encode functional biomarkers for ovarian cancer diagnosis: a large-scale cohort studyResearch in context by Wanshan Liu, Xiaoxiao Hu, Zhouzhou Bao, Yanyan Li, Juxiang Zhang, Shouzhi Yang, Yida Huang, Ruimin Wang, Jiao Wu, Xiaoyu Xu, Qi Sang, Wen Di, Huaiwu Lu, Xia Yin, Kun Qian

“…A diagnostic panel was developed through machine learning of SMFs in the discovery cohort and validated in independent verification and set-aside validation cohorts. …”
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Integrated CAD/CAM Approach for Parametric Design and High Precision Fabrication of Planar Curvilinear Structures by Jonas T. Churchill-Baird, O. Remus Tutunea-Fatan, Evgueni V. Bordatchev

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Morphological evaluation of temporo-mandibular joint in indian population by Shivlal Rawlani, Rahul Bhowate, Shivali Kashikar, Monika Khubchandani, Sudhir Rawlani, Rakhi Chandak

“… The temporomandibular joint (TMJ) is one of the most complex joints in the body and its harmonious functioning is very important to maintain a normal masticatory system. …”
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Enhancing the reverse transcriptase function in Taq polymerase via AI-driven multiparametric rational design by Yulia E. Tomilova, Nikolay E. Russkikh, Igor M. Yi, Elizaveta V. Shaburova, Viktor N. Tomilov, Galina B. Pyrinova, Svetlana O. Brezhneva, Olga S. Tikhonyuk, Nadezhda S. Gololobova, Dmitriy V. Popichenko, Maxim O. Arkhipov, Leonid O. Bryzgalov, Evgeniy V. Brenner, Anastasia A. Artyukh, Dmitry N. Shtokalo, Dmitry N. Shtokalo, Dmitry N. Shtokalo, Denis V. Antonets, Mikhail K. Ivanov, Mikhail K. Ivanov

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Features of the dynamic properties of the working bodies of technological machines with inertial excitation of vibrations by Andrey V. Eliseev, Vladimir B. Kashuba, Nikita Z. Kinash, Sergey V. Eliseev

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A Machine Learning Free Energy Functional for the 1D Reference Interaction Site Model: Towards Prediction of Solvation Free Energy for All Solvent Systems by Jonathan G. M. Conn, Abdullah Ahmad, David S. Palmer

“…This represents a significant step towards a universal machine learning SFE functional for RISM.…”
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Research of the Combined Trajectory Planning of Descartes Space and Joint Space by Lai Xiao, Liu Yong, Luo Wenguo, Dai Yanxia, Zeng Han

“…Through the closed loop vector method,kinematics equation is established and the space trajectory is fitted based B spline function model,the motion curve of the joint space planning and the motion curve of Descartes space planning and the motion curve of combined space planning are obtained. …”
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Model Updating of Spindle Systems Based on the Identification of Joint Dynamics by Hongrui Cao, Songtao Xi, Wei Cheng

“…However, the unknown joint dynamics (e.g., bolts) between the spindle and machine tool column limit the accuracy of the model. …”
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Acoustic modelling of machines using the inversion method for the purposes of the acoustic assessment of machines by Dariusz PLEBAN

“…The acoustic modelling of machines may be carried out using a set of omni-directional substitute sound sources, located in points related to the functional elements of machines. …”
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