Real-time detection of loosening torque in bolted joints using piezoresistive pressure-sensitive layer based on multi-walled carbon nanotubes reinforced epoxy nanocomposites by Abdulkadir Sanli, Bilgehan Demirkale, Olfa Kanoun

“…Abstract Bolted connections are extensively used in construction and machine design, playing critical roles in various industrial applications. …”
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Minimization of Power Loss as a Design Criterion for the Optimal Synthesis of Loader Drive Mechanisms by Jovan Pavlović, Vesna Jovanović, Dragan Marinković, Dragoslav Janošević, Žarko Ćojbašić

“…The analysis is based on a general dynamic mathematical model of the loader, which enables the assessment of the influence of the parameters of the manipulator mechanisms on the functional, structural, and tribological characteristics of the revolute joints within the manipulator’s kinematic chain. …”
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Flexible retinomorphic vision sensors with scotopic and photopic adaptation for a fully flexible neuromorphic machine vision system by Lei Shi, Ke Shi, Zhi‐Cheng Zhang, Yuan Li, Fu‐Dong Wang, Shu‐Han Si, Zhi‐Bo Liu, Tong‐Bu Lu, Xu‐Dong Chen, Jin Zhang

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Development and clinical application of an automated machine learning-based delirium risk prediction model for emergency polytrauma patients by Zhenyi Liu, Yihao Huang, Long Li, Yisha Xu, Peng Wu, Zhigang Zhang, Tingyong Han, Liangjie Zhang, Ming Zhang

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Machine learning-based prediction model for lung ischemia-reperfusion injury: insights from disulfidptosis-related genes by Yanpeng Zhang, Yanpeng Zhang, Yanpeng Zhang, Jingyang Sun, Jingyang Sun, Jingyang Sun, Yihan Lin, Yihan Lin, Yihan Lin, Rongxuan Jiang, Rongxuan Jiang, Rongxuan Jiang, Niuniu Dong, Niuniu Dong, Niuniu Dong, Huanhuan Dong, Huanhuan Dong, Huanhuan Dong, Peng Li, Peng Li, Peng Li, Jinteng Feng, Jinteng Feng, Jinteng Feng, Zijiang Zhu, Guangjian Zhang, Guangjian Zhang, Guangjian Zhang

“…Multiple machine learning algorithms (Generalized Linear Model, Support Vector Machine, and Random Forest) were applied for joint screening, leading to the construction of a predictive model. …”
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Pre Hoc and Co Hoc Explainability: Frameworks for Integrating Interpretability into Machine Learning Training for Enhanced Transparency and Performance by Cagla Acun, Olfa Nasraoui

“…Pre hoc uses the white-box model to regularize the black-box model, while co hoc jointly optimizes both models with a shared loss function. …”
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Design and Development of a Bespoke Rotary Friction Welding Machine in Exploration of Joining Dissimilar Materials for Nuclear Applications by Michail Dellepiane, Laurie Da Silva, Athanasios Toumpis

“…However, access to expensive and complex industrial-grade friction welding machines is not always possible. This study explores the design process and functionality of a laboratory-scale friction welding setup following the fundamentals of large-scale machinery. …”
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Modelling of Multi-Bolted Systems at the Pretension Stage – Part 1: Mechanical Characteristics of the Contact between the Joined Elements by R. Grzejda, K. Kwiatkowski

“…A normal stiffness characteristic in the form of an exponential function was proposed for the tested contact joint. …”
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In-situ grown carbon nanotubes on waste glass powder: Resource-efficient preparation and machine-learning based dispersion evaluation by Tingquan Shao, Hongrui Zhang, Zhenjun Wang, Tonghuan Zhang, Xu Xu, Haibao Zhang, Xiaofeng Wang, Haoyan Guo

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Identification and validation of HOXC6 as a diagnostic biomarker for Ewing sarcoma: insights from machine learning algorithms and in vitro experiments by Yonghua Pang, Jiahui Liang, Jiahui Liang, Yakai Deng, Weinan Chen, Yunyan Shen, Jing Li, Xin Wang, Zhiyao Ren

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A Novel Bayesian Geophysical Inversion Method to Address Loss Function Bias: The Iterative Normalizing Flows Model by Binbin Liao, Xiaodong Chen, Jianqiao Xu, Jiangcun Zhou, Heping Sun

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Identification of potential riboswitch elements in Homo sapiens mRNA 5'UTR sequences using positive-unlabeled machine learning. by William S Raymond, Jacob DeRoo, Brian Munsky

“…In this work, we set out to train positive unlabeled machine learning classifiers on known riboswitch sequences and apply the classifiers to H. …”
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Inversion and validation of soil water-holding capacity in a wild fruit forest, using hyperspectral technology combined with machine learning by Tingwei Song, Liang Guo, Qian Sun, Guizhen Gao, Jing Chen, Qikun Zhang

“…This study integrated hyperspectral technology with machine learning algorithms to model complex nonlinear relationships and to select the optimal SWHC model. …”
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Modeling of working processes in the throttle-adjustable hydraulic drive of manipulation systems with separate movement of links during operation of mobile machines by Alexander V. Lagerev, Igor A. Lagerev

“…The article discusses the functional-structural scheme and the mathematical model of the working hydrodynamic processes in the throttle-adjustable hydraulic drive of the technological cranes-manipulators. …”
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Modeling of working processes in the frequency-adjustable hydraulic drive of manipulation systems with separate movement of links during operation of mobile machines by Lagerev A.V., Lagerev I.A.

“…The article discusses the functional-structural scheme and the mathematical model of the working hydrodynamic processes in the frequency-adjustable hydraulic drive of the technological cranes-manipulators. …”
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Modeling of working processes in the throttle-adjustable hydraulic drive of manipulation systems with conjoint movement of links during operation of mobile machines by Lagerev A.V., Lagerev I.A.

“…The article proposes a functional-structural scheme and a mathematical model of working hydrodynamic processes in a throttle-adjustable hydraulic drive of handling systems (cranes-manipulators) of mobile transport-technological machines during the conjoint movement of two links. …”
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Similarity Index Values in Fuzzy Logic and the Support Vector Machine Method Applied to the Identification of Changes in Movement Patterns During Biceps-Curl Weight-Lifting Exercis... by André B. Peres, Tiago A. F. Almeida, Danilo A. Massini, Anderson G. Macedo, Mário C. Espada, Ricardo A. M. Robalo, Rafael Oliveira, João P. Brito, Dalton M. Pessôa Filho

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Robust computation of subcortical functional connectivity guided by quantitative susceptibility mapping: An application in Parkinson’s disease diagnosis by Jianmei Qin, Haoting Wu, Chenqing Wu, Tao Guo, Cheng Zhou, Xiaojie Duanmu, Sijia Tan, Jiaqi Wen, Qianshi Zheng, Weijin Yuan, Zihao Zhu, Jingwen Chen, Jingjing Wu, Chenyu He, Yiran Ma, Chunlei Liu, Xiaojun Xu, Xiaojun Guan, Minming Zhang

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Training protocol characteristics in studies comparing functional versus traditional training: systematic review of controlled trials by Jader Alfredo Beck, Jean Marlon Machado, Amandda de Souza, Cristiano Gomes Sanchotene, Fábio Hech Dominski, Caroline Ruschel

“…In contrast, functional training protocols primarily included multi-joint exercises using free weights, resistance bands, kettlebells, and suspension straps. …”
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Molecular features and diagnostic modeling of synovium- and IPFP-derived OA macrophages in the inflammatory microenvironment via scRNA-seq and machine learning by Chao Lin, Yue Wan, Yong Xu, Qingsong Zou, Xiaoxiao Li

“…Abstract Background Osteoarthritis (OA) is the leading cause of degenerative joint disease, with total joint replacement as the only definitive cure. …”
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