Knowledge management system as a basis for smart learning by Natalia V. Dneprovskaya

“…However, the issues of the content of education become most relevant. Research in the field of knowledge management remain relevant because, the more perfect the technologies become, that notice the algorithmized work of specialists, the higher the value of creativity for society and the economy.Materials and methods of research include discourse analysis of domestic and foreign scientific sources devoted to the issues of smart education and knowledge management, the systematization of the material. …”
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The Effect of Producing with IT Project Pilot Scheme on 5th-Grade Students' Problem-Solving Skills and Attitudes towards Coding by Taliye Cehdioğlu, Kerem Kılıçer

“…On the other hand, the qualitative part of the research was carried out with 10 5th-grade students who were studying at the same school and participated in the experimental process. …”
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Specific features of pregnancy in patients with type 1 diabetes in the prepubertal period. Results of a 15-year long clinical observation by Lyubov' Leonidovna Bolotskaya, Natalya Vladimirovna Efremova, Yury Ivanovich Suntsov

“…The study based at Endocrinological Research Centre included 77 women with prepubertal diabetes 18 of whom developedpregnancy that ended in delivery. …”
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Repeatability of carbon dioxide and methane emissions and oxygen consumption by forage-consuming beef heifers by M.D. MacNeil, R.C. Waterman

“…Gas exchange by ruminant livestock is deemed as a contributor to climate change. As such, research to reduce the production of greenhouse gasses is an emerging need. …”
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Integrated network toxicology, machine learning and molecular docking reveal the mechanism of benzopyrene-induced periodontitis by Wen Wenjie, Li Rui, Zhuo Pengpeng, Deng Chao, Zhang Donglin

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Production monitoring and machine tracking in underground mines based on a collision avoidance system: A case study by Artur Skoczylas, Natalia Duda-Mróz, Wioletta Koperska, Paweł Stefaniak, Paweł Śliwiński

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EVOLUTION OF THE MARKETING PARADIGM: A NEW VISION by G. V. Astratova, O. A. Rushchitskaya

“…Kuhn, which was composed of the four above-mentioned elements: 1) symbolic generalizations are the expressions that are used by members of the scientific community without disagreements and doubts and can be easily formalized or verbalized (e.g., definition of marketing); 2) metaphysical parts of modern marketing are a set of the existing concepts and theories (e.g., theory of stages of marketing evolution); 3) values in the context of the marketing paradigms are considered by the authors through emphasis on three research objects: a) goods (service) - creation of new goods and/or formation of a set of qualities inherent in the goods (service), perceived by the consumer as a combination of rational and emotional values of the product; b) customer - development of "value proposition for the consumer"; c) seller/manufacturer - basing on the concept of "value chain" that builds strategic management of the company; 4) conventional samples of the marketing paradigm include standards, or algorithms, models and methods of solving specific problems of marketing research (for example, a diagram of the stages of the marketing research process and industrial standards of their conduct). …”
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SURGICAL TREATMENT OF MULTIFOCAL ATHEROSCLEROSIS: CORONARY AND BRACHIOCEPHALIC PATHOLOGY AND PREDICTORS OF EARLY ADVERSE EVENTS DEVELOPMENT by R. S. Tarasov, A. N. Kazantsev, S. V. Ivanov, N. N. Burkov, A. I. Anufriev, L S. Barbarash

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An FPGA-Based Quantum Computing Emulation Framework Based on Serial-Parallel Architecture by Y. H. Lee, M. Khalil-Hani, M. N. Marsono

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Comparative analysis of the frequency of comorbid diseases in axial psoriatic arthritis and other variants of axial spondyloarthritis. Data from a hospital cohort by A. A. Yanushonite, Yu. L. Korsakova, T. V. Korotaeva, E. E. Gubar, E. Yu. Loginova, M. M. Urumova, A. E. Dimitreva, S. I. Glukhova

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Influences of Sampling Design and Model Selection on Predictions of Chemical Compounds in Petroferric Formations in the Brazilian Amazon by Niriele Bruno Rodrigues, Theresa Rocco Barbosa, Helena Saraiva Koenow Pinheiro, Marcelo Mancini, Quentin D. Read, Joshua Blackstock, Edwin H. Winzeler, David Miller, Phillip R. Owens, Zamir Libohova

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DAF-Net: Dual-Aperture Feature Fusion Network for Aircraft Detection on Complex-Valued SAR Image by Qingbiao Meng, Youming Wu, Yuxi Suo, Tian Miao, Qingyang Ke, Xin Gao, Xian Sun

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An integrated machine learning and fractional calculus approach to predicting diabetes risk in women by David Amilo, Khadijeh Sadri, Evren Hincal, Muhammad Farman, Kottakkaran Sooppy Nisar, Mohamed Hafez

“…We employ seven machine learning algorithms: Decision Tree, Logistic Regression, Support Vector Machine (SVM), Random Forest, Bagged Trees, Naive Bayes, and XGBoost, to identify key risk factors, with XGBoost demonstrating higher performance. …”
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Application of collaborative innovation between the logical brain and the associative brain in oil and gas gathering and transportation systems by Jing GONG, Siheng SHEN, Daqian LIU, Qi KANG, Shangfei SONG, Haihao WU, Bohui SHI

“…Traditional simplified analytical methods struggle to cope with dynamic uncertainties, while existing data-driven algorithms are confronted with the dual challenges of lacking interpretability and insufficient robustness. …”
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Explainable AI-based suicidal and non-suicidal ideations detection from social media text with enhanced ensemble technique by Daniyal Alghazzawi, Hayat Ullah, Naila Tabassum, Sahar K. Badri, Muhammad Zubair Asghar

“…Abstract This research presents a novel framework for distinguishing between actual and non-suicidal ideation in social media interactions using an ensemble technique. …”
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Machine Learning in Maritime Safety for Autonomous Shipping: A Bibliometric Review and Future Trends by Jie Xue, Peijie Yang, Qianbing Li, Yuanming Song, P. H. A. J. M. van Gelder, Eleonora Papadimitriou, Hao Hu

“…Through the review, we found that maritime safety machine learning methods are evolving toward a systematic and comprehensive direction, and the integration with AI and human interaction may be the next bellwether. Future research will concentrate on three main areas: evolving safety objectives towards proactive management and autonomous coordination, developing advanced safety technologies, such as bio-inspired sensors, quantum machine learning, and self-healing systems, and enhancing decision-making with machine learning algorithms such as generative adversarial networks (GANs), hierarchical reinforcement learning (HRL), and federated learning. …”
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Spatial patterns and MRI-based radiomic prediction of high peritumoral tertiary lymphoid structure density in hepatocellular carcinoma: a multicenter study by Juan Chen, Xiong Chen, Kai Fu, Lan Zhou, Shichao Long, Mengsi Li, Linhui Zhong, Aerzuguli Abudulimu, Wenguang Liu, Deng Pan, Ganmian Dai, Yigang Pei, Wenzheng Li

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MANAGEMENT OF PATIENTS WITH PARKINSON’S DISEASE AND AN OVERACTIVE BLADDER by E. S. Korshunova, M. N. Korshunov, S. P. Darenkov

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Impact of Critical Situations on Autonomous Vehicles and Strategies for Improvement by Shahriar Austin Beigi, Byungkyu Brian Park

“…This review concludes with actionable recommendations for upgrading physical and digital infrastructures, adaptive sensors, and algorithmic upgrades. Such research is important for AV technology to remain in the zone of advancement and stability.…”
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The role of neural artificial intelligence for diagnosis and treatment planning in endodontics: A qualitative review by Ashwaq F. Asiri, Ahmed Sulaiman Altuwalah

“…Methods: The present research question focused on the literature search about different AI algorithms and models of AI assisted endodontic diagnosis and treatment planning. …”
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