Deep Reinforcement Learning-Based Speed Predictor for Distributionally Robust Eco-Driving by Rajan Chaudhary, Nalin Kumar Sharma, Rahul Kala, Sri Niwas Singh

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SIRI and SII as potential biomarkers of disease activity and lupus nephritis in systemic lupus erythematosus by Chi-Hui Yang, Xin-Yi Wang, Yi-Hui Zhang, Ning Ding

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Smart City Traffic Flow and Signal Optimization Using STGCN-LSTM and PPO Algorithms by Tuxiang Lin, Rongliang Lin

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Theoretical Prediction for Synthetic Realization: Pyramidal Systems ClE[E′4R4] (E = B–Ga, E′ = C–Ge, R = SiMe3, SiMetBu2): A DFT Study by Olga A. Gapurenko, Vladimir Ya. Lee, Ruslan M. Minyaev, Vladimir I. Minkin

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Incidence and risk factors for Graves’ orbitopathy in patients who underwent anti-inflammatory and immunosuppressive treatment during medical treatment for Graves’ disease: investigation of 1,553 cases with newly diagnosed Graves’ disease and proposal of a predictive score by Natsuko Watanabe, Jaeduk Yoshimura Noh, Ai Kozaki, Ran Yoshimura, Ai Yoshihara, Nami Suzuki, Masako Matsumoto, Miho Fukushita, Aya Kinoshita, Azusa Aida, Hideyuki Imai, Shigenori Hiruma, Toshu Inoue, Kosuke Inoue, Kiminori Sugino, Koichi Ito

“…The GO score, ranging from 0 to 8 points, showed moderate performance (area under the curve: 0.71, cut-off value: 5 points, sensitivity: 0.76, specificity: 0.59, positive predictive value: 0.12, negative predictive value: 0.97). …”
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A TSF Control Strategy With Zero Voltage Modulation in Interval Segmented for Permanent Magnet-Assisted Switched Reluctance Motor by Chaozhi Huang, Renquan Xiao, Yong Xiao, Chengyi Gong

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Diagnosis of Columnar Metaplasia of the Esophageal Mucosa in Patients with Complicated Gastroesophageal Reflux Disease by E. D. Fedorov, A. V. Shidii-Zakrua, L. M. Mikhaleva, K. S. Maslenkina, A. A. Lindenberg, D. E. Seleznev, V. O. Kaybysheva, T. A. Partenadze

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Improvement in Automated Diagnosis of Soft Tissues Tumors Using Machine Learning by El Arbi Abdellaoui Alaoui, Stéphane Cédric Koumetio Tekouabou, Sri Hartini, Zuherman Rustam, Hassan Silkan, Said Agoujil

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Safety-involved co-optimization of speed trajectory and energy management for fuel cell-battery electric vehicle in car-following scenarios by Longlong Zhu, Fazhan Tao, Zhumu Fu, Mengyang Li, Guoqu Deng

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Association between neutrophil-albumin ratio and ultrasound-defined metabolic dysfunction-associated fatty liver disease in U.S. adults: evidence from NHANES 2017–2018 by Ming-yu He, Xin-jie Du, Yi-ming Liu

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Integration of a Heterogeneous Battery Energy Storage System into the Puducherry Smart Grid with Time-Varying Loads by M A Sasi Bhushan, M. Sudhakaran, Sattianadan Dasarathan, Mariappane E

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A Data-Driven Approach to Engineering Instruction: Exploring Learning Styles, Study Habits, and Machine Learning by Lauren Genith Isaza Dominguez, Antonio Robles-Gomez, Rafael Pastor-Vargas

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An optimized approach for predicting water quality features and a performance evaluation for mapping surface water potential zones based on Discriminant Analysis (DA), Geographical Information System (GIS) and Machine Learning (ML) models in Baitarani River Basin, Odisha by Abhijeet Das

“…The approaches' correlation value was nearly 0.99, indicating exceptional prediction accuracy. Up to 6 % perturbations were used to test the ANN model's performance, and it maintained its accuracy and robustness. …”
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Area deprivation index predicts annual chronic kidney disease screening and chronic kidney disease development among patients with newly diagnosed hypertension and type 2 diabetes in a large midwestern health system: a retrospective cohort study by Rasha Khatib, Todd Williamson, Rakesh Singh, Mary Ingle, Yuxian Du, Vesta Valuckaite, Sheldon Kong, Sarang Baman

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Development of a machine learning-based prediction model for extremely rapid decline in estimated glomerular filtration rate in patients with chronic kidney disease: a retrospective cohort study using a large data set from a hospital in Japan by Shingo Fukuma, Yukio Yuzawa, Daijo Inaguma, Hiroki Hayashi, Ryosuke Yanagiya, Akira Koseki, Toshiya Iwamori, Michiharu Kudo

“…We aimed to identify clusters of patients with extremely rapid eGFR decline and develop a prediction model using a machine learning approach.Design Retrospective single-centre cohort study.Settings Tertiary referral university hospital in Toyoake city, Japan.Participants A total of 5657 patients with CKD with baseline eGFR of 30 mL/min/1.73 m2 and eGFR decline of ≥30% within 2 years.Primary outcome Our main outcome was extremely rapid eGFR decline. …”
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Design and simulation of a 5 KW solar-powered hybrid electric vehicle charging station with a ANN–Kalman filter MPPT and MPC-based inverter control for reduced THD by Youness Hakam, Hajar Ahessab, Ahmed Gaga, Mohamed Tabaa, Benachir El Hadadi

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A Review of Advances in Brushless Synchronous Motor Drive’s Control Techniques by Tapiwa Mashiri, Mbika Muteba

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An Integrated Approach for Conducting long-term PM2.5 Exposure and Health Impact Assessments for Residents of a City-scale by Ming-Shing Ho, Ming-Yeng Lin, Chih-Da Wu, Jung-Der Wang, Li-Hao Young, Hui-Tsung Hsu, Bing-Fang Hwang, Perng-Jy Tsai

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Modeling Multimedia Ad Exposure: The Role of Low-Level Audiovisual Features by Urban Burnik, Andrej Kosir, Gregor Strle

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Twisted thinking and its relationship to radical thinking among university students by Mohammed H.T.S. AL-Ogaidi, Yasir M. Al-Dulami

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