NATIONAL QUALIFICATIONS FRAMEWORKS: CONCEPTUAL AND METHODOLOGICAL PRINCIPLES IN THE CONTEXT OF UNRESOLVED ISSUES by O N. Oleynikova, A. A. Muravyeva, N. M. Aksenova

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Synthetic Biology Innovations in Designing Cellulose-Based Smart Drug Delivery Systems by Samy Selim, Mohammed S. Almuhayawi, Soad K. Al Jaouni, Mohammad Harun-Ur-Rashid

“…This review explores recent innovations in genetically engineered cellulose, functionalization strategies via synthetic biology, and advanced biofabrication techniques such as 3D bioprinting and microfluidics. …”
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Maximum likelihood DOA estimation based on improved ant colony optimization algorithm by JIAO Yameng, LI Wenping, WU Yue, CUI Lin

“…Firstly, MACO algorithm adopts the elite reverse learning strategy to obtain a better initial solution group. …”
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Improved Monthly Runoff Prediction of OSELM Based on Secondary Decomposition Technique and Optimization of Ten "Bird" Swarm Algorithms by DENG Zhiyu, CUI Dongwen

“…Secondly, based on the training sets of each component, six OSELM hyperparameter optimization instance objective functions were constructed, and ten "bird" swarm algorithms were used to optimize the hyperparameters of the six instance objective functions. …”
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Artificial Intelligence and Immersive Technologies in Higher Pedagogical Education by V. A. Starodubtsev, O. R. Neradovskaya

“…The article is devoted to the analysis of the role, functions and significance of artificial intelligence and immersive learning technologies in the development of an open educational environment and its personal segments formed by subjects of educational relations in the process of preparing graduates of pedagogical universities to change the conditions of modern society. …”
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DIGITAL TRANSFORMATION OF BUSINESS MANAGEMENT: INNOVATIVE MODELS, FORECAST SCENARIOS AND CURRENT CHALLENGES OF ECONOMY MODERNIZATION by I.V. Burtnyak, T.V. Khaludilo

“…The scientific novelty has been constituted by the development of a functional concept of digital transformation in management, which takes into account the influence of both external economic conditions and internal innovation processes on enterprises’ adaptability. …”
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System for digital character recognition, extraction and structuring of medical data with the formation of a cloud-based electronic health records by A. A. Komkov, V. P. Mazaev, S. V. Ryazanova, A. A. Kobak

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EDUCATIONAL COWORKING AS A NEW ORGANIZATION FORMAT OF EDUCATIONAL SPACE OF SUPPLEMENTARY VOCATIONAL EDUCATION by Galina A. Ignatyeva, Oksana V. Tulupova, Andrey S. Molkov

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A comprehensive bioinformatics analysis of pathways and biomarkers shared between type 2 diabetes mellitus and chronic obstructive pulmonary disease by Tingting Hu, Xiaomei Duan, Jiale Gao, Zheng Li, Dan Xu, Jing Jing, Fengsen Li, Jianbing Ding, Li Ma, Min Jiang, Jing Wang

“…In this study, we aimed to identify common diagnostic markers for T2DM and COPD and their therapeutic potential.MethodsMicroarray data from the GEO database were analyzed to identify DEGs, whereas WGCNA, co-differential gene analyses were employed to identify co-expression modules and DEGs functions. Diagnostic markers were determined through machine learning and validated with human blood PBMC and single-cell sequencing.ResultsA total of 738 and 1391 DEGs were identified for T2DM and COPD, respectively. …”
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Decision Support System for the Design Process of Apatite Biopolymer Composite Parts by Panda Anton, Dyadyura Kostiantyn, Dmitrishin Dmitriy, Smorodin Andrey, Prokopovich Igor

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Advances in diffuse glial tumors diagnosis by Luis Filipe de Souza Godoy, Vitor Ribeiro Paes, Aline Sgnolf Ayres, Gabriela Alencar Bandeira, Raquel Andrade Moreno, Fabiana de Campos Cordeiro Hirata, Frederico Adolfo Benevides Silva, Felipe Nascimento, Guilherme de Carvalho Campos Neto, Andre Felix Gentil, Leandro Tavares Lucato, Edson Amaro Junior, Robert J. Young, Suzana Maria Fleury Malheiros

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Bioinformatic Insights and XGBoost Identify Shared Genetics in Chronic Obstructive Pulmonary Disease and Type 2 Diabetes by Qianqian Ji, Yaxian Meng, Xiaojie Han, Chao Yi, Xiaoliang Chen, Yiqiang Zhan

“…Machine learning techniques, including random forest and LASSO regression, were applied for further validation, culminating in the development of a prognostic model using XGBoost. …”
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Assessment in education: Current trends, problems and contradictions (review of scientific publications) by I. B. Shmigirilova, A. S. Rvanova, O. V. Grigorenko

“…Modern views on the goals and content of education around the world are changing the viewpoints on educational assessment: the goals and functions of assessment are expanded, new assessment forms and tools are being introduced, the roles of students and teachers in assessment practice are revised. …”
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Attention Deficit Hyperactivity Disorder identification: FMRI data analyzed with CNN and seed-based approach by Anika Siamin Oyshi, Mohammad Hasan, Md. Khabir Uddin Ahamed, Md. Sydur Rahman, Md. Mahfuzul Haque, Mahmudul Alam

“…This study aims to improve the diagnosis of ADHD in children by using resting-state Functional Magnetic Resonance Imaging (fMRI) data. The method use seed coherence to identify functional connections between specific seed areas and all brain voxels, focusing on Default Mode Network (DMN) regions pertinent to the diagnosis of ADHD. …”
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RETRACTED ARTICLE: Effects of Curcumin-coated Nanomicelles on Cerebral Ischemia Injury in Rats by Regulating lncRNA GAS5 and NF-κB Signaling Pathways by Zhiyue Zhang, Lei Zhang, Xuan Cai, Xing Li, Cheng Wei, Gangli Yan, Fengguang Li

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TECHNOLOGY OF OPEN-ENDED ENGINEERING IN TRAINING OF ENGINEERS by A. P. ISAEV, L. V. PLOTNIKOV, N. I. FOMIN

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Algorithms of training programs for simulator training of ship's engine room personnel by Vlasov A. B.

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Potentials of integrating generative artificial intelligence technologies into formative assessment processes in higher education by A. A. Paskova

“…The use of generative artificial intelligence technologies in education has the potential to revolutionize learning and educational assessment by personalizing the learning experience, providing immediate feedback, and improving the overall learning experience.The relevance of the research is due to the spread of artificial intelligence technologies and the lack of practices for formative assessment of educational achievements in higher education.The problem statement: existing domestic e-learning systems have limited functionality, which makes them difficult to use in the process of formative testing.The goal of the research is to study the possibility and effectiveness of using generative artificial intelligence technologies in formative assessment in higher education.The objectives of the research are to consider the theoretical foundations of using generative artificial intelligence tools in assessing knowledge, skills and abilities, and to analyze our own experience of using large language models in formative testing at a university.The methodological basis of the research is analysis of Internet resources and literary sources, methods of mathematical statistics, and synthesis.The research results: the possibilities of using and the effectiveness of generative artificial intelligence technologies in formative testing of university students have been studied, our own experience of using large language models in formative testing have been analyzed, the main limitations of introducing these technologies into the educational process have been identified, recommendations have been given for organizing formative testing using large language models.Key conclusions: Large language models can be integrated into the learning process to assess formative and summative tests, which will significantly reduce the workload of teachers, provide more objective results and, ultimately, increase the effectiveness of the learning process.…”
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Three-Dimensional UAV Path Planning Based on Multi-Strategy Integrated Artificial Protozoa Optimizer by Qingbin Sun, Xitai Na, Zhihui Feng, Shiji Hai, Jinshuo Shi

“…First, the tent map and refractive opposition-based learning (ROBL) are employed to enhance the diversity and quality of the initial population. …”
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El cuento motor como recurso didáctico provocativo para fomentar la cooperación y la empatía (Motor story as a didactical and provocative resource to promote cooperation and empat... by Daniel Martos García, Javier Monforte, Bernardo Espí Monzó, Rodrigo Atienza Gago, Alexandra Valencia-Peris, Wenceslao Garcia-Puchades

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