Assessment of medical risks in airline passengers with recent acute and chronic coronary syndromes by I. N. Posokhov, E. A. Praskurnichiy

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Early prediction of cognitive impairment in adults aged 20 years and older using machine learning and biomarkers of heavy metal exposure by Ali Nabavi, Farimah Safari, Mohammad Kashkooli, Sara Sadat Nabavizadeh, Hossein Molavi Vardanjani

“…Variables included demographics, medical history, lifestyle factors, and blood and urine levels of lead, cadmium, manganese, and other metals. Machine learning algorithms were trained on 90 % of data and evaluated on 10 %. …”
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The Use of Large Language Models for Marking Datasets in Natural Language Processing by Krystina Makoveichuk, Alexander Olifirov, Georgiy Demenchuk, Yan Makoveichuk

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HEDL: Deep learning multiple approaches for early detection of depression using sarcastic text by Vanita Kshirsagar, Nishant Pachpor, Ashwini Brahme, Ravindra Aapre, Shubhangi Suryawanshi, Digvijay Bhosale

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Leveraging artificial intelligence to strengthen surgical systems in sub-Saharan Africa by Osedebamen Ralph-Okhiria, Ikhide Alonge

“…However, the review highlighted several crucial challenges and concerns, including data availability and quality, infrastructure gaps, ethical implications (such as data protection and algorithmic bias), costs and affordability, and the need for robust regulatory frameworks. …”
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Integrating holographic counterparts for intelligent IoT consumer devices by M. Rajesh, M. Usha, Sathishkumar Veerappampalayam Easwaramoorthy

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The Enterprise School Readiness Prediction System (ESRPS) Uses Machine Learning to Assess Children's Readiness for Entering Elementary School by Muhammad Choerul Umam, Cicilia Dyah Sulistyaningrum I., Dydik Kurniawan, Priyono Tri Febrianto

“…This study aims to develop and evaluate the Enterprise School Readiness Prediction System (ESRPS) to predict children's readiness for elementary school using machine learning algorithms.  This research employs the Research and Development (R&D) method using Borg and Gall’s model and Instruments include questionnaires, programming tools, performance evaluation metrics, and web/database development tools to ensure the system's validity, reliability, and practical applicability.The research analyzes data from 300 students in various Indonesian cities, focusing on attributes like age, gender, and parental education. …”
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Artificial intelligence in psychiatry: A systematic review and meta-analysis of diagnostic and therapeutic efficacy by Moustaq Karim Khan Rony, Dipak Chandra Das, Most. Tahmina Khatun, Silvia Ferdousi, Mosammat Ruma Akter, Mst. Amena Khatun, Most. Hasina Begum, Md Ibrahim Khalil, Mst. Rina Parvin, Daifallah M Alrazeeni, Fazila Akter

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Lithological mapping and spectroscopic studies of carbonatite and clinopyroxenite from Hogenakkal carbonatite complex, India by Saraah Imran, Sourav Bhattacharjee, Ajanta Goswami, Aniket Chakrabarty

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Enabling smart parking for smart cities using Internet of Things (IoT) and machine learning by Mofadal Alymani, Lenah Abdulaziz Almoqhem, Dhuha Ahmed Alabdulwahab, Abdulrahman Abdullah Alghamdi, Hussain Alshahrani, Khalid Raza

“…After that, the resulting data is cross-referenced with database records for seamless entry authentication. …”
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Computational Thinking in Elementary School Students: A Bibliometric Review by Swasti Maharani, Irna Tri Yuniahastuti, Ihtiari Prastyaningrum, Vera Dewi Susanti, Hendrisa Rizqie Romandoni

“…By encouraging CT in primary education, students better understand technology and versatile skills that can be applied in various fields. …”
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ORGANIZATIONAL ISSUES OF CARDIOREHABILITATION SERVICE IN RUSSIA. THE RESULTS OF PILOT PROJECT “DEVELOPMENT OF REHABILITATION SYSTEM OF CARDIOVASCULAR PATIENTS IN MEDICAL INSTITUTIO... by D. M. Aronov, M. G. Bubnova, S. A. Boytsov, G. Е. Ivanova, A. G. Andreev, О. L. Barbarash, V. V. Belova, V. N. Belov, B. V. Borisov, Е. V. Ivanov, I. М. Karamova, A. V. Karpukhin, V. B. Krasnitskiy, Е. S. Kyblanova, P. А. Lebedev, Е. А. Lisnyak, N. P. Lyamina, Т. N. Mizurova, О. F. Misyura, I. E. Mishina, О. V. Mischenko, S. Yu. Nikulina, N. I. Ostroushko, S. А. Poteshkina, А. S. Sidorov, А. А. Sprikut, I. S. Sukhinina, А. G. Tkacheva, S. А. Ustyugov, G. А. Chumakova

“…In all MI there  were educational  Schools  organized,  and  the  explanatory  talks  with the relatives were done as well. …”
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Disturbance types play a key role in post-disturbance vegetation recovery in boreal forests of Northeast China by Yue Yu, Zhihua Liu, Wenjuan Wang, Wenru Xu, Qiushuang Lv, Kaili Li, Wenhua Guo, Lei Fang, Qinglong Zhang, Zhiwei Wu, Bo Liu

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Understanding discrepancies in soil moisture from SMAP and AMSR2: insights into performance and dry-down behavior by Zhiqing Peng, Tianjie Zhao, Jiancheng Shi, Lu Hu, Thomas J. Jackson, Michael H. Cosh, Hui Lu, Xiaodong Gao, Jingyao Zheng, Panpan Yao, Qian Cui, Peng Guo, Peilin Song, Zushuai Wei, Mengjia Wang, Anmin Fu

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ML-Based Quantitative Analysis of Linguistic and Speech Features Relevant in Predicting Alzheimer’s Disease by Tripti Tripathi, Rakesh Kumar

“…The characteristics are subsequently used to educate five machine learning algorithms, namely k-nearest neighbors (KNN), decision tree (DT), support vector machine (SVM), XGBoost, and random forest (RF). …”
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Empirical Assessment of AI-Powered Tools for Vocabulary Acquisition in EFL Instruction by Yiyun Wang, Jin Wu, Fang Chen, Zhu Wang, Jingjing Li, Liping Wang

“…The study reveals the benefits of AI in the instruction of English vocabulary, utilizing the Apriori algorithm from association rule mining and empirical analysis from survey data of 110 second-year university students across four different majors using AI-powered language learning platforms and AI-powered mobile language learning applications (such as UNIPUS AIGC platform and iTEST, intelligent assessment mobile application). …”
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Pharmacological correction of hepatotoxicity induced by anti-tuberculosis drugs by D. S. Sukhanov, E. V. Timofeev, Y. S. Alekseeva, K. A. Nagornova

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Design and optimization of distributed energy management system based on edge computing and machine learning by Nan Feng, Conglin Ran

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Age- and Post-Based Complex Analyses of Heart Rate Variability in Young Male Handball Players for Potential Prevention of Overload-induced Injuries by Zita Petrovszki, Olivér Czimbalmos, Vera Gal, Gabor Korosi, Edit Nagy, Rita Mikulan, Gyongyi Horvath

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Cultural Moduses of Students and Their Influence on the Formation of Life Plans by M. A. Golovchin

“…In total, the study examines four modes (K, CI, IC, I), which describe various manifestations in the public consciousness of power distance, gender model of decision making, priority of interests, attitude to uncertainty, as well as the short-term mobilization of vital resources. We proposed an algorithm for studying cultural moduses within the framework of sociological research, for testing of which we used a subset of data from the project of the Russian Society of Sociologists “Cultural Heritage and the Connection of Generations” (2022).The study found that modern students have different cultural moduses. …”
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