AN INTELLIGENT MODEL FOR ASSESSING CARDIAC FUNCTION BASED ON MEDICAL IMAGES
This study proposes a predictive model based on a CNN + LSTM architecture for the automatic assessment of cardiac functional parameters, particularly the left ventricular ejection fraction (LVEF), using echocardiographic video data. In the proposed approach, convolutional neural networks (CNN) are employed to extract spatial features, while long short-term memory (LSTM) networks are utilized to capture temporal dependencies. During the preprocessing stage, noise reduction, normalization, segmentation, and key frame selection techniques were applied, significantly improving the model’s performance. Experimental results demonstrate that the proposed method achieves high accuracy and shows strong agreement with clinical measurements. The developed model can serve as an effective tool for early detection of cardiovascular diseases and for automating the diagnostic process in clinical practice.
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METAL-CONTAINING COMPLEXES OF BENZIMIDAZOLES AND THEIR BIOLOGICAL ACTIVITY
A method for the synthesis of metal complex compounds with benzimidazole derivatives and metal salts is described. The composition and structure of the synthesized complexes were studied using modern physicochemical methods, including IR spectroscopy and changes observed in X-ray structural analysis. It was established that the benzimidazole ligand coordinates through the nitrogen atom of the imidazole ring in complex formation reactions.
LEVELS OF COGNITIVE DEVELOPMENT ACCORDING TO BLOOM'S TAXONOMY AS A BASIS FOR DESIGNING AI-ASSISTED LEARNING IN DENTISTRY
The article examines the application of Bloom's taxonomy as a methodological framework for designing artificial intelligence systems in dental education. The mechanisms of correspondence between the six cognitive levels (remembering, understanding, applying, analyzing, evaluating, creating) and specific AI tools are described: neural network diagnostic algorithms, virtual clinical simulators, and adaptive learning platforms. It is shown that the taxonomic approach makes it possible to structure educational scenarios and ensure a consistent transition of the student from reproductive to productive clinical thinking.
USE OF ARTIFICIAL INTELLIGENCE FOR THE ANALYSIS OF OPEN SCIENTIFIC DATA AND CONDUCTING META-RESEARCH
This article explores the role and capabilities of artificial intelligence (AI) technologies in analyzing open scientific data and conducting meta-research. The study examines the evolution of automated meta-analysis (AMA) systems, the application of large language models (LLMs), as well as AI solutions integrated with open data archives (OpenAlex, DANDI, OpenAIRE). The results show that the efficiency of literature search and screening using AI significantly increases; however, achieving full automation remains at the frontier of possibility. The article concludes by discussing the advantages, limitations, and future directions for conducting meta-research based on AI.
INNOVATIVE TECHNOLOGY FOR PRODUCING SYNTHETIC MINERAL RAW MATERIALS
This paper presents the results of a study of quartz crystals grown on neutron-irradiated seeds. It was found that they contain the β-phase of quartz, the amount of which increases with increasing seed irradiation dose. The significance of this result lies in the fact that it is the first experimental proof of the influence of neutron-irradiated β-phase nuclei in quartz on its growth during subsequent crystallization.
CONTROL AND IMPROVEMENT OF HYDROTHERMAL SYNTHESIS PROCESSES BASED ON ARTIFICIAL INTELLIGENCE
The hydrothermal synthesis method studies the production of inorganic and coordination compounds in water and other solvent media at elevated temperatures and pressures. The process is based on the dissolution of substances in autoclaves and their repeated recrystallization, where water or various solutions at high temperatures and pressures above atmospheric pressure act not only as a solvent medium, but also as an actively reacting medium.
MODELING OF NON-INVASIVE GLUCOSE MONITORING IN DIABETES
Today, the number of patients with diabetes mellitus (DM) is increasing year by year in the world. In order to maintain blood glucose levels at a normal level, patients with diabetes mellitus need to set daily norms for themselves, such as diet, insulin, and other means of lowering blood sugar, and strictly adhere to them. For this, patients need to regularly check their blood glucose levels at home or in medical institutions. Currently, glucose measurement is widely used in clinical diagnostic laboratories. When determining the level of glucose in the human body using a standard glucometer, the patient experiences painful sensations. In addition, with each new measurement, the patient can infect himself with some disease or infection that enters the body with blood (for example, hepatitis C, AIDS). Also, daily pricking of the patient's finger with a needle causes various inconveniences for the patient. Therefore, the diagnosis of diabetes mellitus is becoming more and more difficult. In such a situation, the use of non-invasive methods of measuring glucose levels is effective. This article studies the issue of mathematical modeling of glucose level monitoring in diabetes mellitus based on electrical resistance (ER) values obtained from bioactive points (BAPs) informative for the BD of the human body.
MODELING OF A DNA IDENTIFICATION SYSTEM BASED ON THE IDEF0 MODEL
This article examines the problem of modeling a DNA (deoxyribonucleic acid) identification system based on the IDEF0 model. The complexity of DNA examination processes requires their functional systematization. For this purpose, the input, output, control, and mechanism elements of the system are defined using the IDEF0 methodology. The stages of DNA sample processing, comparison with databases, and generation of identification results are modeled. The proposed model aims to optimize the identification process and ensure the accuracy of decision-making.
MODELING AND INTELLIGENT ANALYSIS OF KPIS FOR PERFORMANCE INDICATORS OF MANAGEMENT COMPANIES
The article examines the transformation of organizational and economic mechanisms for residential property management through the lens of intelligent data analysis. The author substantiates the transition from static reporting to dynamic KPI modeling as a fundamental decision-making tool. The study reveals the process of converting "raw" data into managerial intelligence, enabling the prediction of infrastructure degradation and financial risks. Particular emphasis is placed on the "domino effect," where technical performance improvements directly correlate with increased collection rates and resident loyalty. Based on the analysis of international expertise and the implementation of the "Mening uyim" platform, the paper proposes predictive maintenance algorithms capable of extending the life cycle of buildings. The research demonstrates that implementing Data-Driven management minimizes operational costs and enhances the investment attractiveness of the housing sector within the digital economy.
COMPARISON OF SOCIAL DETECTIVE WORKS ON A GLOBAL SCALE (ANALYSIS OF WESTERN AND EASTERN DETECTIVE WORKS IN A SOCIAL SPIRIT)
This comparative analytical article explores the nature of evil and the struggle against it as depicted in Agatha Christie’s detective novel "The Big Four" and Said Ahmad’s socio-psychological work "Jimjitlik" (Silence). It contrasts the rational, intellectual approach of the detective genre in Western literature (Poirot’s fight to restore logical order) with the spiritual portrait of the heroes in Eastern prose, who seek inner purification through moral and conscientious suffering. Furthermore, it reveals the fundamental differences in the philosophical interpretations of human destiny, the concept of justice, and heroism across these two cultural contexts.
THE CONCEPT SPHERE OF THEODORE DREISER'S NOVEL “THE FINANCIER” AS A REFLECTION OF THE ECONOMIC CONSCIOUSNESS OF THE ERA
This article presents the concept sphere of Theodore Dreiser's novel The Financier in terms of representing the economic consciousness of American society at the end of the 19th to the beginning of the 20th century. Studies focused on analyzing individual literary concepts, this research aims to identify systemic connections between key concepts that form the ideological-semantic structure of the work. Particular attention is given to the concepts of "money," "power," "success," and the "American Dream," along with their cognitive interactions. It is shown that money in the novel functions not as an autonomous value, but as the core of a complex the concept sphere that defines the characters' worldview and the narrative logic. The conclusion is drawn that the artistic world of the novel reflects the transformation of traditional ethical norms under the influence of capitalist ideology.
STRATEGIES FOR INTRODUCING SCIENCE MUSEUMS IN UZBEKISTAN
This article analyzes strategic approaches to establishing and developing science museums in Uzbekistan. It highlights the role of science museums in increasing young people's interest in science, promoting STEM education, fostering innovative thinking, and developing informal learning environments. The study examines organizational, pedagogical, and technological mechanisms for creating science museums based on international experience, as well as methods for integrating them with educational institutions and research centers.
THEORETICAL FOUNDATIONS OF ARTIFICIAL INTELLIGENCE IN PRIMARY SCHOOL
The issues under consideration: artificial intelligence and its technologies have made significant progress in their development, but despite this, this concept does not have a clear or unambiguous definition. There is an explanation for this: artificial intelligence encompasses many technical and software properties and qualities that can be implemented to achieve various goals.
THE CONCEPT AND PRINCIPLES OF AN INCLUSIVE APPROACH TO EDUCATION IN THE SOCIAL SITUATION OF PRIMARY SCHOOL CHILDREN'S DEVELOPMENT
The theoretical and practical significance of the research under consideration is associated with enriching scientific understanding of the social situation of children’s development within the context of a new model of education. The study proposes psychological criteria for assessing the effectiveness of the inclusive educational process. The set of methods can be used to diagnose characteristics of the interpersonal situation of development in primary school children.
THEORETICAL FOUNDATIONS OF ARTIFICIAL INTELLIGENCE IN EDUCATION
This paper examines the issues related to artificial intelligence. Artificial intelligence and its technologies have achieved significant success in their development; however, despite this progress, the concept still lacks a clear and universally accepted definition. This can be explained by the fact that artificial intelligence encompasses a wide range of technical and software characteristics and capabilities that can be implemented to achieve various objectives.
USE OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN TEACHING THE RUSSIAN LANGUAGE IN HIGHER EDUCATION INSTITUTIONS: PROBLEMS AND SOLUTIONS
This article examines the opportunities and challenges of using artificial intelligence (AI) technologies in teaching Russian as a foreign language in higher education. It analyzes the main areas of application of AI tools, their pedagogical potential and methodological limitations, including issues related to cultural context and teacher digital competence. Practical solutions are proposed based on a blended learning model and the careful integration of technologies into the educational process.
EFFECTIVENESS OF SIMULATION-BASED APPROACH IN ESP TEACHING THROUGH DIGITAL TOOLS
This article theoretically examines the effectiveness of a simulation-based approach in teaching ESP (English for Specific Purposes) through digital tools. The paper explores the essence of the simulation method, its role in education, and its integration with digital platforms. Using architecture students as a case, the article reveals the possibilities and advantages of applying simulation methods in ESP instruction.
THE ROLE OF ARTIFICIAL INTELLIGENCE-BASED EDUCATIONAL SYSTEMS IN DEVELOPING WEB DESIGN COMPETENCE
This paper examines the pedagogical potential of artificial intelligence-driven educational systems in fostering web design competence from both theoretical and methodological perspectives. Within the framework of ongoing digital transformation, the increasing emphasis on data-informed and personalized learning approaches underscores the necessity of integrating AI technologies into the management and optimization of educational processes. The study investigates how AI-based systems enable continuous monitoring of student performance, in-depth analysis of web design activities, and the identification of individualized learning pathways. Furthermore, it highlights the role of such systems in enhancing learning outcomes and instructional effectiveness. The research also proposes advanced assessment and diagnostic mechanisms by combining data-driven pedagogy with competency-based and adaptive learning models.
METHODOLOGY FOR USING ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN GENERAL SECONDARY SCHOOLS
This article examines the pedagogical and methodological aspects of using artificial intelligence (AI) technologies in general secondary schools. It analyzes the integration of AI-based educational tools into the learning process and their role in developing students’ knowledge, skills, and competencies. The paper also identifies challenges arising from the use of AI technologies and proposes solutions to address them.
THE RIGHT OF PEDAGOGICAL VETO: DEVELOPING CRITICAL REFLECTION SKILLS IN FUTURE TEACHERS WHEN WORKING WITH GENERATIVE ARTIFICIAL INTELLIGENCE 'HALLUCINATIONS'
The rapid integration of large language models (LLM) into pedagogical practice highlights the problem of critical assessment of machine-generated content by future teachers. This article presents the results of a quasi-experimental study aimed at developing a reflective-personal mechanism in educators working with generative AI tools. Based on the author's platform 'Lesson and Task Generator', the effectiveness of the peer-review methodology and professional reflective journals (RJS-2024) has been proven. The study demonstrates that controlled exposure of future teachers to AI 'hallucinations' is a powerful catalyst for developing their professional expertise and responsibility.
THE IMPACT OF DIGITAL TECHNOLOGIES AND ARTIFICIAL INTELLIGENCE ON THE ECONOMY, EDUCATION, AND INDUSTRY
Digital technologies and artificial intelligence (AI) are increasingly influencing the economy, education, and industry. These works provide a comprehensive analysis of how digital transformation, automation, AI, and innovation impact the economy. The sources explore how AI is applied in various fields, particularly in business and education, the development of the digital economy, and the expected changes in industrial and production processes. It also discusses the risks and opportunities arising from the use of data analytics and digital technologies to achieve higher efficiency.
THE ROLE OF ARTIFICIAL INTELLIGENCE AND INTELLIGENT SYSTEMS IN MODERN INFORMATION TECHNOLOGIES
The article examines the role of information technologies, particularly artificial intelligence and intelligent systems, in modern education, industry, and data analysis. Special attention is given to the application of machine learning, Big Data, and automation in improving efficiency and decision-making processes. The study highlights the advantages of intelligent systems in optimizing resources, personalizing education, and enhancing industrial productivity. The results demonstrate that the integration of IT technologies significantly contributes to digital transformation and sustainable development.
MODERNIZATION AND DEVELOPMENT TRENDS OF SCIENTIFIC MUSEUMS IN THE 21ST CENTURY
This article analyzes the trends in the modernization and development of scientific museums in the 21st century. It examines the integration of digital technologies, interactive exhibitions, and STEM/STEAM approaches in contemporary museum practices and their importance in the educational process. The study also emphasizes the role of scientific museums as a tool for informal education, their contribution to shaping scientific thinking among young people, and their potential for innovative development. Based on these findings, practical recommendations are proposed for the modernization of scientific institutions.
APPLICATION OF ESP TECHNOLOGIES IN TEACHING ENGLISH TO AGMK WORKERS USING DIGITAL TOOLS
The article examines the application of ESP (English for Specific Purposes) technologies in teaching English to workers in the mining and metallurgical industry. Special attention is given to the use of digital tools, including online platforms and artificial intelligence technologies, to improve learning effectiveness. The study presents a course program developed for AGMK workers at the elementary level. The results show that the use of ESP and digital tools enhances motivation and improves the acquisition of professional vocabulary.
FALSIFICATION OF HISTORY IN THE DIGITAL AGE: CHALLENGES AND THREATS
The article analyzes the transformation of mechanisms for falsifying historical memory in the context of the transition to a digital society. Such phenomena as deepfakes, algorithmic bias in search engines, the viral spread of historical myths on social networks, and the use of generative neural network technologies for revising the past are examined. The key challenges for the professional historical community are identified, including the blurring of source criticism criteria, the erosion of trust in archives, and the acceleration of “digital amnesia.” In conclusion, institutional and technological measures to counter these threats are proposed.
THE ROLE OF DIGITAL TECHNOLOGIES AND ARTIFICIAL INTELLIGENCE IN EDUCATION
This study analyzes the impact of AI and digitalization on contemporary educational models. Using methods of systems analysis and expert assessment, the potential of digital platforms for personalizing and automating learning was determined. Alongside the advantages, such as inclusivity and diagnostics, critical risks were identified, including ethical dilemmas and the digital incompetence of staff. The research culminates in recommendations for the ethical integration of AI into pedagogical practice.
THE ROLE OF ARTIFICIAL INTELLIGENCE AND DIGITAL TECHNOLOGIES IN THE ACQUISITION OF MEDICAL TERMINOLOGY IN LATIN
This article examines the role of artificial intelligence and digital technologies in the acquisition of Latin medical terminology by medical university students. Adaptive learning platforms, neural networks, mobile applications and virtual reality are considered as tools for improving memorization of terms. The necessity of integrating digital methods into the traditional medical education system for building professional competence of future physicians is substantiated.
THE ROLE OF ARTIFICIAL INTELLIGENCE IN SHAPING PERSONAL COMMUNICATION CULTURE
This article provides a scientific and theoretical analysis of the impact of artificial intelligence on personal communication culture. Along with the positive effects of artificial intelligence on communication culture, the potential negative consequences arising from its excessive use are also examined. The necessity of fostering a culture of conscious and purposeful use of AI technology — treating it not as a force that replaces human potential, but as a tool that expands human capabilities — and teaching its proper application on this basis is substantiated.
FORMATION OF COMMUNICATIVE GRAMMATICAL SKILLS IN ENGLISH LESSONS AT THE PRIMARY EDUCATION STAGE (BASED ON THE “GUESS WHAT 4” COURSEBOOK)
This article examines the process of developing communicative grammatical skills among primary school students in English language lessons. It highlights the importance of the communicative approach as one of the leading directions in modern language education, focused on the practical use of grammatical structures in real communication. Special attention is given to the use of the “Guess What 4” coursebook as an effective tool for developing grammatical competence within a communicative teaching context.
PRINCIPLES, FORMS, AND METHODS OF MEDIA-LEARNING IN TEACHING COMPUTER SCIENCE
The role of modern forms and methods, scientific and theoretical oundations, and factors for their effective application in teaching computer science are the development of an integrated system.