The outpatient medical care in patients with chronic diseases under dispensary supervision in the conditions of the COVID-19 pandemic. Temporary guidelines. Version 2 by O. M. Drapkina, L. Y. Drozdova, S. N. Avdeev, S. A. Boytsov, E. S. Ivanova, А. D. Kaprin, T. A. Kunaeva, Е. A. Lavrenova, M. A. Liusan, I. V. Maev, J. S. Rakowskaya, I. V. Samorodskaya, А. I. Chesnikova, R. N. Shepel

“…Guidelines were approved at the meeting of the academic council of the National Medical Research Center for Therapy and Preventive Medicine, Moscow (Protocol No. 10 of 19.10.2021).The aim of these guidelines is to provide primary care physicians with scientifically based algorithms for the implementation of dispensary monitoring in patients with chronic non-communicable diseases in the conditions of the new coronavirus infection (COVID-19) pandemic, including the use of telemedicine technologies.The organization and conduct of high-quality medical follow-up are the most important tasks aimed at both reducing the risks of developing complications of chronic non-communicable diseases and reducing overall mortality, especially in the current conditions of the COVID-19 pandemic. …”
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Wearable sensors-based assistive technologies for patient health monitoring by Nouf Abdullah Almujally, Danyal Khan, Danyal Khan, Naif Al Mudawi, Mohammed Alonazi, Haifa F. Alhasson, Ahmad Jalal, Ahmad Jalal, Hui Liu, Hui Liu, Hui Liu

“…The purpose of this study is to explore the possibilities of using advanced bio-signals for monitoring patient vital signs during daily life activities and predicting favorable and more accurate health-related solutions based on current body health-related real-time measurements.ResultsWith the help of machine learning algorithms, we have observed classification accuracy of up to 94.67% using the mHealth dataset and 95.12% on the ScientISST MOVE dataset. …”
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Elementary Growth Modes provide a molecular description of cellular self-fabrication. by Daan H de Groot, Josephus Hulshof, Bas Teusink, Frank J Bruggeman, Robert Planqué

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Unveiling BID: a key biomarker in apoptosis post-intracerebral hemorrhage by Kun Dai, Hong-Rong Zhang, Shuai-Yu Ren, Ming-Pei Zhao, Ming-Pei Zhao, Neng Wang, Neng Wang, Hong-Zhi Gao, Hong-Zhi Gao, De-Zhi Kang, De-Zhi Kang, De-Zhi Kang, Zong-Qing Zheng, Zong-Qing Zheng, Zong-Qing Zheng, Zong-Qing Zheng, Zong-Qing Zheng

“…We then constructed a PPI network and used the MECDE algorithm to identify key genes potentially involved in apoptosis after ICH. …”
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Artificial intelligence and anti-cancer drugs' response by Xinrui Long, Kai Sun, Sicen Lai, Yuancheng Liu, Juan Su, Wangqing Chen, Ruhan Liu, Xiaoyu He, Shuang Zhao, Kai Huang

“…Cancer drug resistance prediction based on artificial intelligence (AI) technology has emerged as a current research hotspot, demonstrating promising application prospects in guiding clinical individualized and precise medication for cancer patients. …”
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The Genetic Puzzle of the Stress-Induced Cardiomyopathy (Takotsubo Syndrome): State of Art and Future Perspectives by Domenico Lio, Letizia Scola, Giusi Irma Forte, Loredana Vaccarino, Manuela Bova, Patrizia Di Gangi, Giorgia Santini, Daniela di Lisi, Cristina Madaudo, Giuseppina Novo

“…This review analyzes the genetic variants implicated in the different functional pathways contributing to TS pathogenesis and discusses the current state of knowledge regarding its genetic underpinnings. …”
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The Electricity Load Prediction Model for Residential Buildings: A Critical Review of Output Types, Prediction Methods and Driving Factors by Zhenjing Wu, Min Qi, Weiling Zhang, Xudong Zhang, Qiang Yang, Wenyuan Zhao, Bin Yang, Zhihan Lyu, Faming Wang, Zhichao Wang

“…An accurate electricity load prediction was essential to resolve the conflict between substations which was caused by the current increase in energy demand, on both the generation and consumption sides. …”
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Water desalination using waste heat recovery of thermal power plant in tropical climate; optimization by AI by Ehsanolah Assareh, Mohammad Firoozzadeh, Mohammad Zoghi, Ali Zare, Yasaman Ghazi, Ali Shahin-Banna

“…The primary objective of the current research is to address the pressing issue of water scarcity in Khuzestan Province, Iran, specifically targeting the Khorramshahr gas power plant. …”
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The role of advanced machine learning in COVID-19 medical imaging: A technical review by Abdul Muiz Fayyaz, Said Jadid Abdulkadir, Shahab Ul Hassan, Safwan Mahmood Al-Selwi, Ebrahim Hamid Sumiea, Lareib Fatima Talib

“…It focuses on approaches such as Deep Learning (DL) algorithms and Transfer Learning, which have demonstrated significant potential in developing automated, accurate COVID-19 detection systems. …”
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A Study on Non-Contact Multi-Sensor Fusion Online Monitoring of Circuit Breaker Contact Resistance for Operational State Awareness by Zheng Wang, Hua Zhang, Yiyang Zhang, Haoyong Zhang, Jing Chen, Shuting Feng, Jie Guo, Yanpeng Lv

“…The method integrates Hall effect current sensors, infrared temperature sensors, and electric field sensors to extract multiple sensing signals, combined with high-precision signal processing algorithms to enable the real-time identification and evaluation of circuit resistance changes. …”
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Design and implementation of three-phases energy storage system using DSP F28379D for laboratory research by Hoai Phong Nguyen, Thuan Thanh Nguyen, Minh Phuong Le, Minh Tan Tran, Cong Duy Pham

“…Additionally, the control board uses the Texas Instruments DSP F28379D with a charging-discharging control program written in C programming language and compiled with Code Composer Studio (CCS v12). The current and voltage sensing circuits use Hall-effect sensors to isolate the power circuit from the control circuit. …”
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AI-Driven Advancements in Orthodontics for Precision and Patient Outcomes by David B. Olawade, Navami Leena, Eghosasere Egbon, Jeniya Rai, Aysha P. E. K. Mohammed, Bankole I. Oladapo, Stergios Boussios

“…While AI offers tremendous potential, challenges remain in areas such as data privacy, algorithmic bias, and the cost of adopting AI technologies. …”
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Comprehensive Review of Intrusion Detection Techniques: ML and DL in Different Networks by Imane Rakine, Aziz Oukaira, Kamal El Guemmat, Issam Atouf, Sara Ouahabi, Mohamed Talea, Tarik Bouragba

“…Next, a detailed presentation of the current research on IDS based on ML and DL techniques by network categories is provided. …”
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Fatigue failure mechanisms and life prediction of additive manufactured metallic lattices: a comprehensive review by Hao Xin, Dingcheng Tang, Linwei Dang, Lei Gao, Zhenyu Yang, Bin Wu, Xiaofan He, Zhixin Zhan

“…The study also delves into the fatigue behaviours influenced by specific configurations and loading conditions, categorises the factors impacting fatigue failure in lattice materials, and presents a comprehensive review of fatigue life prediction methods, derived from an enhanced understanding of the fatigue process and the development of progressive fatigue failure algorithms. Finally, the current research advancements and limitations are discussed to provide a clearer perspective on the fatigue challenges associated with AM metallic lattice materials.…”
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Explainable AI-Based Skin Cancer Detection Using CNN, Particle Swarm Optimization and Machine Learning by Syed Adil Hussain Shah, Syed Taimoor Hussain Shah, Roa’a Khaled, Andrea Buccoliero, Syed Baqir Hussain Shah, Angelo Di Terlizzi, Giacomo Di Benedetto, Marco Agostino Deriu

“…Traditional diagnostic methods, based on visual examination, are subjective, time-intensive, and require specialized expertise. Current artificial intelligence (AI) approaches for skin cancer detection face challenges such as computational inefficiency, lack of interpretability, and reliance on standalone CNN architectures. …”
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Advances in Surface-Enhanced Raman Spectroscopy for Urinary Metabolite Analysis: Exploiting Noble Metal Nanohybrids by Ningbin Zhao, Peizheng Shi, Zengxian Wang, Zhuang Sun, Kaiqiang Sun, Chen Ye, Li Fu, Cheng-Te Lin

“…This comprehensive overview provides insights into the current state and future directions of SERS technology for urinary metabolite detection, emphasizing its potential to revolutionize non-invasive health monitoring and disease diagnosis.…”
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Preventing Health Risks Through Intelligent Medical Appointment Management Using Disease and Attendance Propensity by Fredy Troncoso-Espinosa, Guillermo Latorre-Nunez, Catalina Valenzuela-Nunez, Juan San Martin-Duran

“…The results demonstrate that the Intelligent Medical Appointment Management Model significantly outperforms random scheduling, which simulates current real-world practices without the use of an intelligent patient assignment system. …”
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Emerging trends in sustainable energy system assessments: integration of machine learning with techno-economic analysis and lifecycle assessment by Ebrahimpourboura Zahra, Mosalpuri Manish, Jonas Baltrusaitis, Dubey Pallavi, Mba Wright Mark

“…The review’s scope includes recent TEA and LCA of SES to understand gaps in current practices, and ML SES studies that address these practices. …”
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Model predictive control for energy efficient AC motor drives: An overview by Muhammad Bilal Shahid, Weidong Jin, Muhammad Abbas Abbasi, Abdul Rashid Bin Husain, Hafiz Mudassir Munir, Mannan Hassan, Aymen Flah, Ahmed Saad Eddine Souissi, Thamer A. H. Alghamdi

“…Abstract State‐of‐the‐art model‐based predictive control techniques for AC motor drives are reviewed in this paper. A plethora of MPC algorithms with vast number of complex ideas has emerged in the last decade and this work makes an attempt to present those concepts in an intuitive, comprehensive and hierarchical manner. …”
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Investigating imperceptibility of adversarial attacks on tabular data: An empirical analysis by Zhipeng He, Chun Ouyang, Laith Alzubaidi, Alistair Barros, Catarina Moreira

“…The study also identifies limitations in current attack algorithms, offering insights that can guide future research in the area. …”
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