International Bulletin of Applied Science and Technology
International Bulletin of Applied Sciences and Technology - (ISSN-2750-3402) is an open access international peer reviewed german journal. IBAST publishes research monthly frequency basis. we explore your research worldwide by international Database indexings. we provide all articles crossref metadata link, google scholar, microsoft academic, Metadata Indexing and much more worldwide international indexings.
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THE IMPACT OF CROSS-CULTURE ON THE DEVELOPMENT OF SCIENCE IN CENTRAL ASIA
This article analyzes the impact of cross-cultural factors on the development of science in Central Asia. The study examines the interrelationship between culture, enlightenment, and socio-economic conditions through the educational and philosophical views of Abdulla Avloni. In particular, his ideas expressed in the work “Waves of Culture” are analyzed to reveal the dialectical connection between a society’s material well-being and its cultural development. According to Avloni, when the economic condition of a society is weak, the development of enlightenment and culture also declines, as people are primarily focused on satisfying basic survival needs. From this perspective, the article argues that the development of science is influenced not only by economic factors but also by cultural values, spiritual maturity, and the level of social consciousness. The findings indicate that the historical and cultural development of science in Central Asia has been shaped by complex cross-cultural interactions. The study also highlights the role of enlightenment as a key factor in shaping human thinking and ensuring social progress.
cross-cultural influence, development of science, Central Asia, Abdulla Avloni, enlightenment, culture, social development, economic conditions, spirituality, knowledge, educational philosophy
Copyright (c) 2026 https://creativecommons.org/licenses/by/4.0
CHANGING FEATURES OF INNOVATION MANAGEMENT IN THE CONTEXT OF DIGITAL TRANSFORMATION
The article describes the relevance of innovative development management for modern business in the context of digitalization, the fact that effective innovation management allows not only to increase the competitiveness of an enterprise, but also to create a stable basis for its long-term development, and that innovations can be directed towards the creation of a new industry or integrated into an existing one.
In the context of digitalization Innovative development requires enterprises not only to invest in the latest technologies, but also to change their approach to management, organizational culture and human resources.
THE STUDY OF INFLUENCE OF ECONOMIC DIGITALISATION ON NATIONAL ECONOMY
The article presents results of a study on digitalization as a driving force of economic growth in the Republic of Uzbekistan. The degree of influence of the development of Information and Communication Technologies (ICT) on GDP per capita in Uzbekistan has been determined using data obtained from international organizations. The role of ICT- and digitalization-based innovative activities in the long-term economic growth of Uzbekistan has also been identified.
digitalization of economy, economic growth, economic development, ICT development index, GDP per capita, forecast, ERP system.
AI-Driven Operational Optimization in Drug Benefit Service Quality Frameworks
The growing complexity of healthcare administration, prescription benefit management, medication utilization review, and patient-centered pharmaceutical services has increased the demand for intelligent operational frameworks capable of improving service quality while reducing administrative burden. Drug Benefit Service Quality Frameworks, particularly within Pharmacy Benefit Management (PBM) environments, face persistent challenges associated with claim processing accuracy, prior authorization delays, medication adherence monitoring, adverse drug event detection, data interoperability, and personalized therapeutic decision support. Recent advances in artificial intelligence (AI), machine learning, semantic knowledge systems, predictive analytics, and robotic process automation have created opportunities to transform operational processes and quality management mechanisms across pharmaceutical benefit ecosystems. This research investigates the role of AI-driven operational optimization in enhancing Drug Benefit Service Quality Frameworks through the integration of predictive intelligence, automated decision support, semantic healthcare knowledge models, pharmacogenomic data resources, and process automation technologies. The study synthesizes existing literature on drug knowledge repositories, semantic web technologies, drug recommendation frameworks, predictive prescription systems, pharmacogenomics databases, adverse drug reaction resources, and robotic process automation in PBM quality management. A conceptual framework is developed that illustrates how AI technologies can optimize service quality dimensions including efficiency, accuracy, responsiveness, compliance, personalization, and patient safety. The research adopts a conceptual analytical methodology supported by comparative literature synthesis. The proposed framework integrates knowledge extraction mechanisms, predictive analytics engines, automated workflow orchestration, semantic interoperability modules, and quality monitoring systems. Findings indicate that AI-enabled service quality frameworks significantly improve operational consistency, reduce manual intervention, enhance decision-making accuracy, strengthen regulatory compliance, and facilitate personalized medication management. Furthermore, robotic process automation demonstrates substantial benefits in PBM quality operations by automating repetitive administrative tasks while allowing healthcare professionals to focus on clinical decision-making and patient engagement. The study contributes to healthcare informatics and pharmaceutical service management literature by proposing an integrated AI-driven operational optimization model specifically tailored for drug benefit service environments. The findings suggest that successful implementation requires balanced consideration of data quality, algorithm transparency, governance structures, and interoperability standards. Future research should focus on empirical validation, real-world deployment assessments, and the development of explainable AI frameworks for pharmaceutical benefit management systems.
Copyright (c) 2026 Dr. Priya Sharma https://creativecommons.org/licenses/by/4.0
MECHANISMS FOR FORMING ENTOMOCULTURAL COMPETENCE IN STUDENTS USING THE EXAMPLE OF PEDAGOGICAL AND PSYCHOLOGICAL EDUCATION
This article highlights the mechanisms for forming entomocultural competence using the example of students majoring in pedagogical and psychological education. It analyzes the pedagogical significance of developing students' skills in understanding the cultural values, traditions, socio-psychological characteristics, and communication culture of various nations and ethnic groups. The article also substantiates the role of integrative education, intercultural communication, interactive methods, a reflexive approach, practical exercises, and psychological training in the formation of entomological competence.
entomological competence, pedagogical-psychological education, intercultural communication, ethnic values, tolerance, empathy, social adaptation, psychological training.
IMPLEMENTATION OF A PROJECT-BASED LEARNING MODEL FOR DEVELOPING REFLECTIVE THINKING IN STUDENTS
This article highlights the pedagogical possibilities of implementing a project-based learning model to develop reflective thinking in students. It analyzes the significance of project-based learning as an effective method that guides students toward independent research, problem analysis, drawing evidence-based conclusions, justifying their opinions, and active participation in teamwork. The article also reveals the role of problem situations, research tasks, creative projects, and reflexive assessment processes in shaping reflective thinking. Through the project-based learning model, the development of students' critical and logical thinking skills, decision-making culture, communicative competencies, and readiness for practical activity is substantiated.
reflective thinking, project-based learning, critical thinking, logical analysis, independent research, problem-based learning, educational project, reflection, competency-based approach, collaborative learning.
DEVELOPMENT OF INTELLIGENT VOLTAGE CONTROL METHODS USING OLTC TRANSFORMERS UNDER REVERSE POWER FLOW CONDITIONS CAUSED BY SOLAR PHOTOVOLTAIC POWER PLANTS
The rapid integration of renewable energy sources, particularly solar photovoltaic (PV) power plants, into modern electrical power systems has significantly affected the operation of distribution networks. The increasing number of prosumers has led to the emergence of reverse power flows, creating new challenges for voltage regulation, power quality, and transformer operation. Conventional distribution transformers and protection systems were originally designed for unidirectional power flow from generation sources to consumers. However, surplus electricity generated by PV systems is increasingly being injected back into the grid, causing voltage rise, increased power losses, and reduced equipment lifespan. This study proposes intelligent voltage control methods based on On-Load Tap Changer (OLTC) transformers to mitigate the adverse effects of reverse power flows. Mathematical modeling, artificial intelligence-based forecasting, and Smart Grid integration approaches are employed to enhance voltage regulation in distribution networks with high PV penetration.
Solar photovoltaic power plant, OLTC transformer, reverse power flow, Smart Grid, artificial intelligence, voltage regulation, power quality, distribution network.
ANALYSIS OF THE EFFICIENCY OF HYBRID ENERGY SYSTEMS COMBINING THERMOELECTRIC GENERATORS AND SOLAR PHOTOVOLTAIC INSTALLATIONS
This article examines hybrid energy systems integrating thermoelectric generators and solar photovoltaic installations. An analysis of the operating principles and efficiency of such systems is carried out, and the possibilities of increasing electricity generation through the utilization of thermal energy generated during the heating of solar panels are investigated. The main factors affecting the performance of the hybrid system, including solar radiation intensity, temperature conditions, and the characteristics of thermoelectric materials, are considered. The obtained results demonstrate that the combined use of thermoelectric generators and photovoltaic modules contributes to an increase in the overall efficiency of the system and ensures more effective utilization of renewable energy sources.
hybrid energy system, thermoelectric generator, solar photovoltaic installation, renewable energy sources, solar energy, efficiency, energy conversion efficiency, thermoelectric materials, photovoltaic modules, energy saving.
DEVELOPMENT OF A LOW-COST BIO-3D PRINTER FOR SCALING THE APPLICATION OF TISSUE AND SCAFFOLD BIOPRINTING TECHNOLOGIES IN RESEARCH AND DEVELOPMENT ACTIVITIES IN UZBEKISTAN
Three-dimensional (3D) bioprinting has developed over the last ten years into one of the most promising technological methods in tissue engineering, regenerative medicine, and pharmaceutical testing. The ability to make biologically functional structures by carefully placing cells and biomaterials opens up new ways to solve important global problems, such as organ shortages and the limits of traditional in vitro models. However, bioprinting technologies are still not widely used because commercial systems are often too expensive and complicated for institutions in developing countries to use.
William Shakespeare is one of the greatest playwrights in world literature. His works deeply explore human nature, love, betrayal, power, and justice. Through tragedies such as Hamlet, Romeo and Juliet, Othello, and Macbeth, he portrays the inner struggles of individuals and complex social relationships. Shakespeare's works remain highly influential in modern theater and literature.
Shakespeare, playwright, tragedy, love, betrayal, Hamlet, justice.
Computational intelligence approaches to unstructured text understanding supporting autonomous healthcare standards reporting artifacts
The increasing digitization of healthcare systems has led to a rapid proliferation of unstructured clinical, operational, and administrative text data. These data sources include physician notes, robotic system logs, compliance reports, and heterogeneous documentation artifacts generated across healthcare ecosystems. However, the lack of standardized interpretation mechanisms for such unstructured textual content remains a critical barrier to achieving fully autonomous healthcare reporting systems. This paper investigates computational intelligence approaches for unstructured text understanding with a focus on supporting autonomous healthcare standards reporting artifacts. The study synthesizes advancements in natural language processing (NLP), machine learning, and hybrid symbolic–neural frameworks to examine how unstructured healthcare data can be transformed into structured, compliance-ready outputs. Particular emphasis is placed on the role of automation in ensuring regulatory adherence, operational transparency, and clinical decision traceability. Prior research highlights the evolution of artificial intelligence in healthcare systems, emphasizing the transition from assistive tools to autonomous systems capable of contextual reasoning and adaptive learning (Yu et al., 2018; Hamet & Tremblay, 2017). Additionally, robotic systems in healthcare environments have demonstrated increasing levels of autonomy in operational workflows, necessitating advanced interpretability mechanisms for their generated textual artifacts (Moustris et al., 2011; Aethon, 2020). A key contribution of this research is the integration of compliance-driven NLP pipelines inspired by automated documentation frameworks, such as those proposed in recent studies on automated CMS compliance systems (Sravan Kumar Nidiganti, 2025), which provide structured methodologies for transforming narrative clinical data into regulatory-aligned documentation outputs. The paper further explores how computational intelligence can bridge the gap between unstructured narrative generation and structured reporting standards. Findings suggest that hybrid architectures combining transformer-based language models, domain ontologies, and rule-based validation layers significantly enhance the reliability of autonomous reporting artifacts. However, challenges persist in ensuring semantic accuracy, interpretability, and cross-institutional generalizability. The study concludes that computational intelligence-driven unstructured text understanding is foundational to the next generation of autonomous healthcare reporting systems, enabling scalable, standardized, and compliance-oriented healthcare automation.
Copyright (c) 2026 Dr. Nino Kapanadze https://creativecommons.org/licenses/by/4.0
Computational Shadow-System Analysis of Drug Coverage Administration Processes to Enhance Service Efficiency
The increasing complexity of drug coverage administration systems in healthcare has created operational inefficiencies, delayed approvals, and suboptimal resource utilization in pharmacy benefit management (PBM) ecosystems. Traditional workflow models are often linear, rule-based, and insufficiently adaptive to dynamic patient demand, multi-stakeholder decision pathways, and evolving pharmaceutical policies. This research proposes a computational shadow-system framework integrated with multiscale pharmacological modeling and systems simulation to enhance the efficiency, responsiveness, and transparency of drug coverage administration processes. The study synthesizes principles from quantitative systems pharmacology, multiscale biological modeling, and target-mediated drug disposition frameworks to construct a computational analog of PBM workflows. Foundational theoretical contributions from receptor-level modeling and pharmacokinetic dynamics (Lauffenburger & Linderman, 1993; Peletier & Gabrielsson, 2012) are extended to administrative process modeling, enabling structural mapping between biological regulatory systems and healthcare decision architectures. Additionally, insights from predictive mathematical scheduling models in therapeutic contexts (Orrell & Fernandez, 2010) and enzyme mechanism assay frameworks (Strelow et al., 2012) inform the design of computational decision nodes within the shadow system. A key component of this study is the integration of digital twin concepts applied to PBM workflow simulation, enabling real-time replication of administrative processes under varying demand and policy constraints. As demonstrated in prior work on PBM workflow optimization using digital twin methodologies, simulation-driven decision modeling significantly improves operational throughput and reduces latency in authorization cycles (Nidiganti, 2023). The proposed model introduces a layered architecture consisting of (i) patient-level demand simulation, (ii) insurer policy-rule encoding, (iii) pharmacy claim adjudication pathways, and (iv) feedback-driven optimization loops. The system enables scenario testing for policy adjustments, cost-control strategies, and service-level optimization without disrupting live operational environments. Findings indicate that computational shadow systems can reduce administrative bottlenecks, improve decision accuracy, and enhance predictive allocation of pharmacy benefits. The study concludes that integrating systems pharmacology principles with administrative digital twins provides a novel interdisciplinary framework for healthcare operations research, with implications for scalable PBM modernization and AI-driven healthcare governance systems.
Copyright (c) 2025 Dr. Thandi Dlamini https://creativecommons.org/licenses/by/4.0
SPECIFIC ASPECTS OF ENSURING THE SUSTAINABLE ECONOMIC ACTIVITY OF BUSINESS ENTITIES THROUGH TAX ADMINISTRATION
This article examines the issues of ensuring the sustainable operation of business entities through the improvement of tax administration. Modern approaches to tax administration, digital transformation processes, the impact of the tax burden on entrepreneurial activities, and existing institutional challenges are analyzed from a scientific perspective. The current situation in the Republic of Uzbekistan is assessed based on statistical data and compared with international experience. The research findings provide practical recommendations aimed at strengthening the financial sustainability of business entities, enhancing voluntary tax compliance, and expanding the application of risk-based tax control mechanisms.
tax administration, business entities, sustainable development, tax policy, digitalization, tax compliance, risk management, economic security.
THE INFLUENCE OF SOCIAL NETWORKS ON THE LEXICAL SYSTEM OF THE RUSSIAN LANGUAGE.
The article examines the influence of social networks on the development and transformation of the lexical system of the Russian language in the context of the active spread of digital technologies and Internet communication. The relevance of the study is determined by the growing role of social media platforms in shaping the modern linguistic environment and the emergence of new linguistic units that are actively entering the everyday speech of users. The purpose of the study is to identify the characteristics of changes in the lexical composition of the Russian language under the influence of social networks and to analyze the main trends in the development of Internet communication. The research employs descriptive, comparative, and lexical-semantic analysis methods. Particular attention is paid to the processes of the emergence of new words and expressions, the activation of borrowed vocabulary, the formation of Internet slang, the spread of abbreviations and acronyms, and the transformation of the meanings of existing lexical units. The study demonstrates that social networks serve not only as a means of communication but also as an important factor in language change, influencing the development of speech culture and the expansion of the Russian vocabulary. The obtained results may be applied in the fields of linguistics, Russian language teaching, and the study of modern communication processes.
social networks, vocabulary, Russian language, Internet slang, borrowings, communication.
LEXEMES OF ALISHER NAVOI’S “LISON UT-TAYR”: LEXICAL-SEMANTIC AND ARTISTIC ANALYSIS
This article analyzes the lexemes of Lison ut-Tayr by Alisher Navoi from lexical-semantic and linguopoetic perspectives. The study examines the semantic layers of lexical units used in the work, their connection with Sufi terminology, symbolic and metaphorical features, and their artistic functions. Based on the text of the work, the semantic fields of key lexemes such as love (ishq), Truth (Haq), path (yo‘l), journey (safar), heart (ko‘ngil), and bird (qush) were identified and their contextual meanings were analyzed. Lexical-semantic, contextual, comparative historical, and statistical methods were used in the research. The results show that the vocabulary of Lison ut-Tayr was formed through the integration of Turkic, Arabic, and Persian layers, creating a linguistic expression of Sufi philosophy. In the work, lexemes function not only as nominative units but also as carriers of philosophical and aesthetic meaning. The findings of the research have important scholarly significance for the linguistic analysis of classical literary texts, the study of historical Uzbek lexicology, and the style of Navoi’s language
lexeme, lexical-semantic analysis, Sufi terminology, linguopoetics, Old Uzbek language, Navoi’s style, poetic semantics, symbolic meaning, classical literature.
THE 8K FRAMEWORK AS A FOUNDATION FOR DEVELOPING DESIGN COMPETENCE IN PRESCHOOL EDUCATION
The rapid transformation of social, economic, and technological life in the twenty-first century has placed new demands on education systems at every level, including the earliest stages of childhood development. Among the conceptual frameworks that have emerged to describe the competencies required for success in this new environment, the so-called "8K" model – comprising creativity, critical thinking, communication, collaboration, computer literacy, cross-cultural understanding, career and self-reliance, and citizenship and leadership – occupies a prominent place. This article examines the pedagogical foundations of the 8K framework and explores its relevance to the formation of design competence in preschool-aged children. Design competence, understood here as the integrated ability to perceive, imagine, plan, and bring into being objects, spaces, and visual solutions, is presented as a natural meeting point for several of the eight competencies. The article discusses the theoretical underpinnings of this relationship, considers the developmental characteristics of preschool children that make early design education both feasible and valuable, and proposes pedagogical conditions and approaches through which educators can integrate the 8K framework into everyday preschool practice. The discussion concludes that a deliberate, play-based, and child-centered approach to design activity can serve as an effective vehicle for cultivating the broader competencies envisioned by the 8K model.
8K framework, design competence, preschool education, creativity, critical thinking, twenty-first-century skills, early childhood development, child-centered pedagogy.
ENLARGING TECHNICAL VOCABULARY IN LIGHT INDUSTRY VOCATIONAL EDUCATION THROUGH AI-BASED TOOLS
The digitization of the light industry sector — encompassing textiles, apparel, footwear, and fashion design — demands vocational graduates who possess both technical dexterity and robust professional communication skills. Central to this competence is mastering a highly specialized, interdisciplinary technical vocabulary. Traditional methods like rote memorization and static glossaries fail to provide the contextual relevance and adaptive pacing required by diverse vocational learners. This article explores the systematic integration of Artificial Intelligence (AI) tools — specifically Natural Language Processing (NLP) engines, Large Language Models (LLMs), and adaptive intelligent tutoring systems — to accelerate vocabulary acquisition. Grounded in Content and Language Integrated Learning (CLIL) and Cognitive Load Theory, we examine how AI minimizes extraneous cognitive load by delivering contextualized, gamified micro-learning directly into workshop environments.
vocational education, light industry, technical vocabulary acquisition, artificial intelligence in education, CLIL, cognitive load theory, smart pedagogy.
THEORETICAL FOUNDATIONS AND MODERN APPROACHES TO TEXTILE WASTE RECYCLING: A REVIEW OF RESOURCE-EFFICIENT TECHNOLOGIES
The increasing volume of textile waste generated by textile manufacturing and consumer activities has become a significant environmental and economic challenge worldwide. The textile industry produces substantial amounts of cotton, wool, synthetic, and blended fiber waste during spinning, weaving, knitting, dyeing, and garment manufacturing processes. This study reviews the theoretical foundations of textile waste recycling and evaluates modern resource-efficient technologies for waste utilization. The classification, characteristics, and recycling potential of textile waste are analyzed based on scientific literature and industrial practices. Particular attention is given to cotton and wool waste processing technologies, including mechanical fiber regeneration, ultrasonic cleaning, hydrodynamic washing, thermal-moisture treatment, and advanced impurity removal systems. The analysis demonstrates that textile waste contains a considerable proportion of recoverable fibers suitable for producing yarns, nonwoven materials, insulation products, and technical textiles. The findings indicate that improved recycling technologies can significantly reduce environmental impacts, decrease raw material consumption, and enhance the sustainability of textile production systems.
Textile waste, fiber regeneration, cotton waste, wool waste, recycling technologies, circular economy, sustainability, nonwoven materials.
ISSUES OF IMPROVING COOPERATION BETWEEN THE MAHALLA AND INTERNAL AFFAIRS BODIES IN ENSURING THE STABILITY OF SOCIETY
This article analyzes the importance of cooperation between the mahalla and internal affairs bodies in ensuring social stability, as well as its legal foundations and practical mechanisms. Issues regarding the improvement of cooperation between the mahalla institution and internal affairs bodies in crime prevention, ensuring public safety, and the timely identification and elimination of public problems were also considered. The author put forward some proposals and recommendations aimed at increasing the effectiveness of this cooperation.
mahalla, internal affairs bodies, social stability, public safety, crime prevention, prevention inspector, citizens' assembly, cooperation, legal mechanisms, public order, prevention, social stability.
THE TURKIC WORLD TODAY: GEOPOLITICS AND NEW CHALLENGES IN TEACHING THE TURKISH LANGUAGE
The contemporary Turkic world has become an increasingly significant geopolitical and cultural space, linking countries across Eurasia through shared linguistic, historical, and cultural heritage. The growing political and economic cooperation among Turkic states has contributed to the rising importance of the Turkish language as a medium of communication, education, and cultural exchange. At the same time, globalization, digitalization, migration, and technological advancements have created new challenges and opportunities for Turkish language education. This article examines the geopolitical significance of the Turkic world in the twenty-first century and analyzes the emerging challenges in teaching Turkish as a foreign and second language. Particular attention is paid to intercultural communication, digital learning environments, curriculum modernization, and the role of language education in strengthening cooperation among Turkic nations.
Turkic world, geopolitics, Turkish language teaching, intercultural communication, language education, globalization, digital learning.
ARTIFICIAL INTELLIGENCE TOOLS IN DEVELOPING EFL STUDENTS' ACADEMIC WRITING SKILLS: A CRITICAL REVIEW OF RESEARCH (2022–2025)
This article examines the role of artificial intelligence (AI) tools in developing the academic writing competence of English as a Foreign Language (EFL) students, drawing on a systematic review of 32 peer-reviewed studies published between 2022 and 2025. It offers a critical typology of five categories of AI writing tools — grammar and style checkers, automated writing evaluation systems, large language model-based assistants, paraphrasing tools, and neural machine translation — evaluated against a multi-level model of L2 academic writing competence. Meta-analytic evidence indicates a moderate-to-large overall effect of AI-assisted instruction (d = 0.65), rising to d = 0.81 when AI and instructor feedback are combined. The article also addresses the ethical, pedagogical, and institutional challenges associated with AI integration — including academic integrity, learner over-reliance, feedback accuracy, and digital equity — before outlining principled recommendations for responsible AI integration in EFL writing instruction in Uzbekistan and comparable Central Asian contexts.
artificial intelligence, EFL writing, academic writing, ChatGPT, Grammarly, scaffolding, automated writing evaluation, academic integrity, Central Asia.
THE ROLE OF EPISTEMOLOGICAL RESEARCH IN DEVELOPING LOGICAL AND CRITICAL THINKING AMONG YOUNG PEOPLE
This article highlights that the development of logical thinking and critical reasoning among the younger generation has become one of the most pressing pedagogical and philosophical issues under the current conditions of globalization and informatization. It also emphasizes that epistemological research, namely scientific approaches related to the theory of knowledge, provides an important methodological foundation for this process. Furthermore, the article analyzes how epistemological views contribute to the development of young people’s thinking by encouraging them to analyze knowledge, evaluate it, and make independent conclusions.
gnoseology, gnoseological research, logical thinking, critical thinking, artificial intelligence, media literacy, information.
SULAYMON PAYG ‘AMBAR VA HUDHUD QUSHI: AXBOROT VA DIPLOMATIK ALOQA TIMSOLI SIFATIDA
Ushbu maqolada o‘zining dono va zukkoligi bilan tanilgan hudhud qushi va Sulaymon payg‘ambar obrazlari o‘rtasidagi munosabatlar turli adabiyot namunalarida elchilik, axborot va diplomatiya sifatida talqin etilishi bir qancha misollar orqali yoritib berilgan.
hikoyatlar, hudhud, elchilik, da’vat, payg‘ambar, Qur’on, adolatli boshqaruv, Saba’ qavmi, “Sulaymon va Bilqis” hikoyati.
BIOTECHNOLOGICAL SIGNIFICANCE OF LACTIC ACID PRODUCTION FROM BEET MOLASSES IN ENSURING FOOD SECURITY
This article explores the role of biotechnological methods in addressing food security challenges, specifically focusing on the production of lactic acid from sugar industry by-products, namely molasses. The study analyzes the impact of fermentation conditions on product yield and evaluates the preservative properties of the resulting lactic acid for the food industry.
Biotechnology, food security, lactic acid, fermentation, molasses, calcium lactate.
RAQAMLI IQTISODIYOTNING TASHKILIY MODELI: DAVLAT, BIZNES VA TEXNOLOGIK INFRATUZILMA O‘RTASIDAGI O‘ZARO BOG‘LIQLIK TAHLILI
Ushbu maqolada raqamli iqtisodiyotning tashkiliy modeli hamda uning uchta asosiy ustuni - davlat, biznes va texnologik infratuzilma o‘rtasidagi o‘zaro uzviy bog‘liqlik mexanizmlari tizimli tahlil qilingan. Tadqiqotda davlatning raqamli muhitdagi “regulyator” va “me’mor” sifatidagi roli, IT-Park rezidentlariga berilgan soliq imtiyozlari hamda "Raqamli O‘zbekiston – 2030" strategiyasining iqtisodiy samaradorligi statistik ma’lumotlar asosida ochib berilgan. Shuningdek, fintech, elektron tijorat va platformali iqtisodiyot sharoitida raqamli biznes modellarining transformatsiyasi, kadrlar taqchilligi, gender tengsizligi hamda kiberxavfsizlik sohasidagi mavjud muammolar va infratuzilmaviy nomutanosibliklar tahlil qilingan. Maqola yakunida Ispaniya va Nigeriya tajribasidan kelib chiqib, O‘zbekistonda alohida “Startap to‘g‘risida”gi qonunni qabul qilish, Milliy ma’lumotlar strategiyasini ishlab chiqish hamda raqamli makonda kiberhimoya standartlarini kuchaytirish bo‘yicha muallifning amaliy taklif va tavsiyalari ilgari surilgan.
Raqamli iqtisodiyot, tashkiliy model, raqamli transformatsiya, IT-Park, startap, platformali iqtisodiyot, texnologik infratuzilma, kiberxavfsizlik, inson kapitali, davlat-xususiy sheriklik, raqamli savodxonlik.
SELECTION OF YOUNG GOALKEEPERS IN THE INITIAL PREPARATION STAGE IN FOOTBALL
This article discusses the problems of selecting young football players for the role of goalkeeper at the initial training stage in modern football and their scientific and methodological foundations. The study analyzes the criteria for assessing the anthropometric indicators, psychophysiological characteristics and coordination abilities of young goalkeepers, and develops recommendations for optimizing the selection process.
football, goalkeeper, selection, role, anthropometry, psychophysiology, reaction speed, sensorimotor skills.
FACTORS AFFECTING PRODUCT QUALITY DURING FRESH STORAGE OF JUJUBE (ZIZIPHUS JUJUBA MILL.)
In this study, to determine the optimal conditions for storing jujube (Ziziphus jujuba Mill.) fruits fresh, work was carried out to assess various storage temperatures and periods. Three levels of storage temperature were studied - low (5°C), medium (15°C), and room temperature (22°C), as well as at 3, 6, 9, and 12-week storage periods. Also, work was carried out to determine the quality indicators of the product, the amount of vitamin C, soluble sugars, the amount of shriveled and natural loss of fruits, and necessary recommendations were given for production enterprises.
Jujube, fresh fruit, storage conditions, shelf life, shriveled fruit, vitamin C and sugars
USING DIGITAL PLATFORMS TO ENHANCE LISTENING COMPREHENSION AMONG EFL LEARNERS
This article explores the role of digital platforms in enhancing listening comprehension skills among learners of English as a Foreign Language (EFL). With the growing accessibility of podcasts, video-sharing platforms, language-learning applications, and interactive online resources, learners now have unprecedented opportunities to engage with authentic spoken English outside the classroom. The study discusses how these tools support the development of phonological awareness, vocabulary recognition, and overall listening fluency, while also addressing challenges such as learner autonomy, motivation, and the need for pedagogical guidance. The article concludes that digital platforms, when integrated thoughtfully into the curriculum, can significantly improve listening outcomes for EFL learners.
digital platforms, listening comprehension, EFL learners, authentic input, podcasts, language learning technology, learner autonomy, blended learning
THE ROLE OF AI-GENERATED FEEDBACK IN DEVELOPING ACADEMIC WRITING SKILLS.
This article examines the role of artificial intelligence-generated feedback systems in developing academic writing skills. The study analyzes how grammatical, stylistic, and structural corrections provided by modern AI tools affect learners' independent writing practices, self-editing abilities, and confidence in producing academic texts. The findings indicate that AI-based feedback serves as an effective supplementary tool, although it cannot fully replace comprehensive human guidance.
THE ROLE OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN ENHANCING THE LEARNING MOTIVATION OF PRIMARY SCHOOL STUDENTS
This article examines the role and significance of artificial intelligence technologies in enhancing the learning motivation of primary school students. The psychological and pedagogical foundations of learning motivation are discussed, and the potential of AI-based educational tools to increase students’ interest, engagement, and positive attitudes toward learning is analyzed.
artificial intelligence, learning motivation, primary education, adaptive learning, digital technologies, student engagement, educational quality, individualized instruction, innovative education, pedagogical technologies.