A Simple Thermoelectrical Surface Approach for Numerically Studying Dry Band Formation on Polluted Insulators by Marc-Alain Andoh, Christophe Volat, Gbah Koné

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An interpretable machine learning approach for predicting and grading hip osteoarthritis using gait analysis by Qing Yang, Xinyu Ji, Yuyan Zhang, Shaoyi Du, Bing Ji, Wei Zeng

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A machine learning based prediction model for short term efficacy of nasopharyngeal carcinoma by Qiulu Zhong, Xiangde Li, Qinghua Du, Qianfu Liang, Danjing Luo, Jiaying Wen, Haiying Yue, Wenqi Liu, Xiaodong Zhu, Jian Li

“…RSF model constructed by machine-learning algorithm based on radiological dosimetric parameters and clinical characteristics can better predict the short-term efficacy of LANPC, and is an effective tool to evaluate the short-term efficacy of different LANPC patients during treatment.…”
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AI-based biplane X-ray image-guided method for distal radius fracture reduction by Qing Zha, Qing Zha, Sizhou Shen, Ziyang Ma, Ziyang Ma, Manqiu Yu, Hongzheng Bi, Hongbo Yang, Hongbo Yang

“…Therefore, it is necessary to develop an AI-based method for calculating fracture parameters to provide real-time display, particularly in fracture reduction machines.MethodsAn AI-based method for automatically calculating of radiographic parameters in distal radius fractures (DRF) was developed. …”
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Research on the Implementation Effect of Incentive Policies for Prefabricated Buildings Based on System Dynamics: A Chinese Empirical Study by Chunbing Guo, Weidong Yan, Zhenxu Guo

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Pengaruh Sudut Geram dan Parameter Pemesinan Terhadap Keausan Tepi Pahat High Speed Steel (HSS) pada Proses Bubut Glass Fibre Reinforce Polymer (GFRP) by Muhammad Yusra Nusa, Firman Ridwan

“…The high rate of tool wear is an obstacle in machining of GFRP material. …”
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Features of tactics of inspection of accident sites in the investigation of illegal interference in the activities of energy facilities using unmanned vehicles by S. L. Kislenko, A. B. Smushkin

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Microcomputed tomography as a diagnostic tool for detection of lymph node metastasis in non-small cell lung cancer: A decision-support approach for pathological examination “A pilo... by Ayten Kayı Cangır, Süleyman Gökalp Güneş, Kaan Orhan, Hilal Özakıncı, Yusuf Kahya, Duru Karasoy, Serpil Dizbay Sak

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Kinetics of steel casting solidification during vertical continuous casting by E. I. Marukovich, E. B. Demchenko

“…With the subsequent design of tooling and equipment, there is no need for additional experimental studies and analysis of the results obtained.…”
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Working conditions at the workplaces of core sections of foundries by A. M. Lazarenkov, M. A. Sadokha

“…The results of studies of the parameters of the working conditions of the considered professions of foundry workers in comparison with the standard values are presented. …”
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Peculiar structural features of the metacognitive subsystem of mental models of interactions of servicemen of the National Guard of the Russian Federation by Fedorishin, Michael Ivanovich, Perevozkina, Yulia M.

“…Petersburg) (n = 152). Methods (tools): the Level of Refl exivity Questionnaire (A. …”
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The external validity of machine learning-based prediction scores from hematological parameters of COVID-19: A study using hospital records from Brazil, Italy, and Western Europe. by Ali Safdari, Chanda Sai Keshav, Deepanshu Mody, Kshitij Verma, Utsav Kaushal, Vaadeendra Kumar Burra, Sibnath Ray, Debashree Bandyopadhyay

“…Here we report external-validity of machine learning-based prediction scores from haematological parameters recorded in different hospitals of Brazil, Italy, and Western Europe (raw sample size, 195554). …”
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Simultaneous Determination of 11 Commonly used Cephalosporin Antibiotics Residue by High Performance Liquid Chromatography - Diode Array Detectors in Pharmaceutical Waste Water - A... by Mohabbat Ullah, Md. Sohel Rana, Md. Monjil Hossain

“…The developed method can be the tool for determining the Cephalosporins residue as routine quantitative analysis of waste water discharged from the Antibiotic manufacturing plant. …”
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Development and validation of an interpretable machine learning model for predicting Philadelphia chromosome-positive acute lymphoblastic leukaemia using clinical and laboratory pa... by Jing Zhang, Cheng Zhang, Xi Zhang, Wuchen Yang, Jingya Liu, Yang Gou, Xingqin Huang, Maoshan Chen, Dezhi Huang, Shengwang Wu, Shuiqing Liu, Xiangui Peng

“…Using SHAP for global interpretability analysis, age, monocyte count, γ-glutamyl transferase, neutrophil count and alanine aminotransferase were identified as crucial parameters that significantly influence the diagnostic accuracy of CatBoost-AL.Conclusion An interpretable ML model and online prediction tool were developed to determine whether newly diagnosed patients with ALL are Ph+ALL. …”
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Parametric Variant Design of Reducer based on Case Based Reasoning by Zhuang Qianyu, Wang Zongyan, Qin Huibin, Dong Hao, Yan Shuai

“…In order to improve the efficiency and accuracy of the reducer design,a technology of parametric variant design based on case based reasoning which put case based reasoning technology and the parameter technology of object oriented into the reducer variant design is put forward. …”
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Calibration of a groundwater flow model in a karst aquifer using EPM approach: Case of Elhajeb-Ifrane aquifer, Morocco by Ammari Zakaria, Oumou Abdellah, Essahlaoui Narjisse, El Fakir Rabia, Mili El Mostafa, Essahlaoui Ali, Kassou Amina, Van Rompaey Anton

“…Numerical models constitute a powerful tool for groundwater resources management, as they can provide information about flow path, water balance, and effects of future actions. …”
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Lymphocyte-C-reactive protein ratio upon admission to predict disease progression and ICU admission in adult patients with diabetic ketoacidosis by Yi-Jia Hu, Shu-Xiao Qiu, Jian-Nan Zhang, Qi-Qi Lai, Yi-Lu Lin, Lin-Qiong Liu, Di Wu, Hui-Ying Liu, Huan Meng, Jia-Xi Xu, Jia-Ning Zhang, Bo-Wen Liu, Yan Gao, Kai Kang, Yang Gao

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Microstructure simulation of maraging steel 1.2709 processed by powder bed fusion of metals using a laser beam: A cellular automata approach with varying process parameters by Kai-Uwe Beuerlein, Mohammad Shojaati, Mazyar Ansari, Hannes Panzer, Shahriar Imani Shahabad, Mohsen K. Keshavarz, Michael F. Zaeh, Saeed Maleksaeedi

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Machine Learning-Based Recommender System for Pulsed Laser Ablation in Liquid: Recommendation of Optimal Processing Parameters for Targeted Nanoparticle Size and Concentration Usin... by Anesu Nyabadza, Dermot Brabazon

“…Achieving targeted nanoparticle (NP) size and concentration combinations in Pulsed Laser Ablation in Liquid (PLAL) remains a challenge due to the highly nonlinear relationships between laser processing parameters and NP properties. Despite the promise of PLAL as a surfactant-free, scalable synthesis method, its industrial adoption is hindered by empirical trial-and-error approaches and the lack of predictive tools. …”
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A Milling Method for Elliptic-arc-tooth-trace Cylindrical Gear by Zhao Kunpeng, Song Aiping, Dou Chaoran, Zi Hao Chu, Yuegang

“…By analyzing the ideal geometric parameters,the equations of tooth surface and contact ratio are deduced. …”
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