Web of Scientists and Scholars: Journal of Multidisciplinary Research
type: channel
description: Web of Scientists and Scholars: Journal of Multidisciplinary Research is an open access peer reviewed international journal. It publishes the novel research in multidisciplinary research areas. A manuscript making strong empirical and theoretical contributions will be given preference in publication. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. It will provide a platform for the most exciting findings in this growing field. In addition to original research work, the journal features editorials, commentaries, reviews, books review, theoretical, research papers, state-of-the-science reviews, descriptions, and research on scientific behaviours to evidence-based clinical practice. It is focused on critical and creative research. This journal seeks to promote original research and cultivate fruitful dialogues between previous and innovative thoughts. The scope of the journal is not limited to- Physical Sciences Biological Sciences Chemical Sciences Engineering and Technology Food Sciences Forensic Science Physical Sciences Publication Frequency: 12 Issues Per Year (Monthly) ISSN (E): 2938-3811 IFSIJ JIF: 7.995 Journal Abbreviation: Web sci. scholars
publisher: Web of Journals Publishing
language: en
publication name: Web of Scientists and Scholars: Journal of Multidisciplinary Research
issn: 2938-3811
items: THE EMERGENCE OF AMIR TEMUR ON THE WORLD STAGE
items: THE ROLE OF JALOLIDDIN MANGUBERDI’S PATRIOTIC QUALITIES IN THE EDUCATION OF YOUTH
items: THE MARTIAL ART OF ZAHIRIDDIN MUHAMMAD BABUR
items: MODERN MANAGEMENT METHODS OF AGRICULTURAL FOOD INDUSTRY ENTERPRISES IN OUR COUNTRY
items: DIGITAL EDUCATIONAL RESOURCES AND MOOCS IN MODERN HIGHER EDUCATION: STRUCTURE, FUNCTIONS, AND PEDAGOGICAL POTENTIAL
items: THE CONTRIBUTION OF UZBEK OFFICERS TO THE VICTORY IN WORLD WAR
items: HR ANALYTICS AND KPIS AS A TOOL FOR MANAGEMENT DECISIONS AT THE TOP MANAGEMENT LEVEL
items: STERILITY CONTROL IN COSMETOLOGY ROOMS: MONITORING AND EVALUATION METHODS
items: INTELLEGENT AUTOMATION IT OPERATIONINTEGRATION OF AIOPS AND VOICE CONTROL SYSTEMS
items: TEENAGE PREGNANCY AND SCHOOL ATTRITION: AN ASSESSMENT OF ACADEMIC PERFORMANCE AMONG GIRL-CHILD EDUCATION IN SECONDARY SCHOOLS IN TARABA STATE
items: DETERMINATION OF HERBICIDE RESIDUES AND PHYSICOCHEMICAL PARAMETERS OF SOME SELECTED RIVERS IN TARABA STATE, NIGERIA
items: TRANSITION METAL OXIDE NANO PARTICLE SYNTHESIS, CHARACTERIZATION, AND CATALYTIC APPLICATIONS: A REVIEW
items: HEALTH AND PHYSICAL DEVELOPMENT OF MEDICAL STUDENTS
items: CLINICAL ASPECTS OF THE RELATIONSHIP BETWEEN GASTROESOPHAGEAL REFLUX DISEASE AND DENTAL DISORDERS
items: TECHNOLOGICAL APPROACHES TO THE PRODUCTION OF C₉ MONONUCLEAR ARENES FROM HYDROCARBON PYROLYSIS
items: SCIENTIFIC AND METHODOLOGICAL FOUNDATIONS FOR DEVELOPING STUDENTS’ PEDAGOGICAL MASTERY THROUGH INTERACTIVE PLATFORMS
items: ARTIFICIAL INTELLIGENCE–BASED BIOPHYSICAL MODELING OF NEURAL SIGNAL DYNAMICS FOR EARLY NEUROLOGICAL DISORDER DETECTION
items: METHODOLOGY OF TEACHING OPTICS USING A COLLABORATIVE APPROACH
items: MULTISCALE MODELING OF HUMAN PHYSIOLOGY IN DIGITAL HEALTHCARE SYSTEMS
items: ADVANCED COMPUTATIONAL MODELS FOR REAL-TIME CLINICAL DECISION MAKING IN DIGITAL MEDICINE
items: SIMULATION AND MODELING TECHNIQUES FOR DISEASE PROGRESSION IN DIGITAL HEALTHCARE
items: ELECTROPHYSIOLOGICAL ASSESSMENT OF AUTONOMIC NERVOUS SYSTEM ADAPTATION TO HEAT STRESS IN YOUNG ADULTS
items: BIOIMPEDANCE-BASED BIOPHYSICAL ASSESSMENT OF BODY COMPOSITION AND METABOLIC RISK IN YOUNG ADULTS
items: IMPROVING STRENGTH QUALITIES IN YOUNG SHORT-DISTANCE RUNNERS THROUGH FITNESS TRAINING
items: THE IMPACT OF SOCIAL MEDIA ON THE MENTAL HEALTH OF YOUTH
items: COMPREHENSIVE ASSESSMENT OF IMMUNOBIOCHEMICAL MARKERS IN THE DIAGNOSIS OF BRONCHIAL ASTHMA IN COMORBID COURSE WITH TYPE 2 DIABETES MELLITUS
items: GENERAL RELATIVITY
items: FIRST SIGNS, CONSEQUENCES AND PREVENTIVE MEASURES OF RADIATION OF WORKERS AT URANIUM MINES
items: EFFECT OF A BIOACTIVE SUPPLEMENT BASED ON CHITOSAN AND WHEY POWDER ON HEPATIC METABOLIC ENZYMES AND DETOXIFICATION PROCESSES

THE EMERGENCE OF AMIR TEMUR ON THE WORLD STAGE
type: item
description: This paper examines the historical rise of Amir Temur as a major political and military figure whose influence extended far beyond Central Asia. It analyzes the strategic, political, and ideological foundations that enabled him to transform a fragmented regional power structure into a centralized empire with significant impact on Eurasian geopolitics. The study also evaluates how Temur’s leadership, military innovations, and state-building policies positioned him as a global actor of the late medieval period. Rather than treating his rise as inevitable or purely heroic, this paper critically assesses the structural conditions and strategic choices that shaped his emergence.
subject: Articles
  topic: section
subject: Amir Temur, Central Asia, empire building, military strategy, Eurasian politics, state formation, medieval history, geopolitical expansion.
  topic: keywords
creator: Meyliyev Ashraf Khayitovich
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-05-21
publication date: 2026-05-21
starting page: 24
ending page: 27

THE ROLE OF JALOLIDDIN MANGUBERDI’S PATRIOTIC QUALITIES IN THE EDUCATION OF YOUTH
type: item
description: This article examines the significance of the patriotic qualities of Jaloliddin Manguberdi and their role in the moral and civic education of youth. It analyzes how his courage, leadership, loyalty to the homeland, and resistance against foreign invasion can serve as an educational model in shaping patriotism among younger generations. The study emphasizes the importance of integrating historical examples of national heroes into modern educational practices to strengthen national identity, responsibility, and ethical values in youth development.
subject: Articles
  topic: section
subject: Patriotism, youth education, national identity, leadership, courage, historical heritage, moral upbringing, Jaloliddin Manguberdi.
  topic: keywords
creator: Kodirov Farrukhjon Mukhtorovich
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-05-21
publication date: 2026-05-21
starting page: 20
ending page: 23

THE MARTIAL ART OF ZAHIRIDDIN MUHAMMAD BABUR
type: item
description: This article analyzes the military art, strategic thinking, and leadership skills of Zahiriddin Muhammad Babur. It highlights Babur’s role as a talented commander, founder of the Mughal Empire, and military reformer who effectively combined Central Asian military traditions with innovative combat methods. The article also examines his battle tactics, army organization, and historical significance in the development of military science.
subject: Articles
  topic: section
subject: Babur, military art, strategy, tactics, commander, Mughal Empire, warfare, military leadership, battle formations, history.
  topic: keywords
creator: Boltaboyev Nurillo Abduvokhidovich
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-05-21
publication date: 2026-05-21
starting page: 16
ending page: 19

MODERN MANAGEMENT METHODS OF AGRICULTURAL FOOD INDUSTRY ENTERPRISES IN OUR COUNTRY
type: item
description: This study examines the issues of effective management of food industry enterprises in the country in the context of integration with agriculture. The impact of geopolitical instability, resource shortages, and logistics disruptions on food security is analyzed. The interrelation between the volume and quality of agricultural raw materials, their level of processing, and the development of the food industry is also substantiated. The research highlights the importance of strengthening agro-industrial integration, implementing a cluster approach, and utilizing public-private partnership mechanisms.
subject: Articles
  topic: section
subject:
  topic: keywords
  value: Food industry, agriculture, agro-industrial integration, cluster system, public-private partnership, food security, raw material base, processing industry, innovative management, digital technologies, efficiency, logistics chain, agro-cluster.
creator: Ashuraliyev Shukurjon Rahmonjon o'g'li
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-05-16
publication date: 2026-05-16
starting page: 10
ending page: 15

DIGITAL EDUCATIONAL RESOURCES AND MOOCS IN MODERN HIGHER EDUCATION: STRUCTURE, FUNCTIONS, AND PEDAGOGICAL POTENTIAL
type: item
description: This article examines the role and significance of digital educational resources (DERs) and Massive Open Online Courses (MOOCs) in contemporary higher education systems. It analyzes the structure, composition, and functional characteristics of institutional digital learning resources, including lecture materials, methodological manuals, electronic textbooks, and large-scale full-text databases provided by international publishers. The study also explores the concept of electronic libraries as integrated information systems designed to ensure efficient access, organization, and long-term preservation of digital knowledge resources. Special attention is given to the pedagogical advantages of DERs, such as enhanced accessibility, multimedia integration, unlimited information capacity, and continuous availability. Furthermore, the article discusses MOOCs as a rapidly developing form of distance education that supports lifelong learning and broadens access to quality education worldwide. The analysis highlights their key features, including flexibility, interactivity, cost-effectiveness, and alignment with modern labor market demands. At the same time, certain limitations are identified, particularly related to learner self-regulation and the absence of strict instructional control. The findings demonstrate that both DERs and MOOCs significantly contribute to improving the quality, accessibility, and efficiency of modern educational processes.
subject: Articles
  topic: section
subject:
  topic: keywords
  value: Digital educational resources; electronic library; MOOCs; higher education; distance learning; e-learning; information technology in education; multimedia learning; educational innovation; open online courses; self-directed learning; educational digitalization.
creator: Abduraimova Sohiba
creator: Suvonqulova Aziza Abdurazzoq qizi
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-05-13
publication date: 2026-05-13
starting page: 1
ending page: 9

THE CONTRIBUTION OF UZBEK OFFICERS TO THE VICTORY IN WORLD WAR
type: item
description: This article examines the significant role and contribution of Uzbek officers in achieving victory during World War II. It highlights their leadership, bravery, and strategic importance on various fronts of the war. The study focuses on the participation of Uzbek military personnel in key battles, their command roles, and their dedication to defending the homeland. The article also emphasizes the historical importance of their contribution in strengthening national pride and preserving the memory of their sacrifices. The findings show that Uzbek officers played a crucial role in the overall success of the Allied forces.
subject: Articles
  topic: section
subject: World War II, Uzbek officers, military leadership, bravery, Soviet Army, war history, national contribution, Central Asia.
  topic: keywords
creator: Mukhitdinov Shukhrat Obidjonovich
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-04-30
publication date: 2026-04-30
starting page: 77
ending page: 80

HR ANALYTICS AND KPIS AS A TOOL FOR MANAGEMENT DECISIONS AT THE TOP MANAGEMENT LEVEL
type: item
description: This article focuses on HR analytics and key performance indicators (KPIs) as tools that assist top managers in making management decisions. It traces the evolution from the early ideas of Frederick Taylor's scientific management and Elton Mayo's human relations school , through Robert Kaplan and David Norton's "balanced" (but still financial) scorecard model, to a strategic management model that incorporates non-financial indicators, confirming the textbook idea of the importance of human capital as a company's strategic resource. It also demonstrates that understanding HR KPIs, combined with HR analytics methods, allows for linking HR strategy to financial performance. The article also examines various levels of analytical maturity and target timetables—from the principles of creating strategic HR indicators and quantitative analysis to approaches for integrating employee data with corporate reporting. It's important to emphasize that HR analytics is directly relevant to restructuring, talent management, talent pool development, and organizational optimization. At the same time, the risks facing the server, both in terms of data quality and ethical issues related to handling personal information, are considered. Finally, the essential role of systematically implementing HR analytics at the senior management level is emphasized. This not only significantly improves the quality of strategic decisions and helps improve efficiency, but also creates sustainable competitive advantages.
subject: Articles
  topic: section
subject:
  topic: keywords
  value: HR analytics, key performance indicators, KPI, top management, strategic management, human capital, management decisions, digital transformation, corporate performance, balanced scorecard, organizational structure, talent management, analytical maturity, business analytics, data integration, corporate reporting.
creator: Dana Ismagulova
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2025-10-31
publication date: 2025-10-31
starting page: 203
ending page: 210

STERILITY CONTROL IN COSMETOLOGY ROOMS: MONITORING AND EVALUATION METHODS
type: item
description: This article examines modern approaches to sterility control in cosmetology clinics, as well as methods for monitoring and evaluating the effectiveness of sterilization procedures. It also highlights the historical development of asepsis and antisepsis principles, allowing us to trace the evolution of concepts of sterility and its importance in cosmetology practice. The main sources of microbial contamination, including personnel, instruments, air, and surfaces, are analyzed. The stages of instrument processing, including preliminary cleaning, disinfection, and sterilization, are described in detail, and the main sterilization methods, such as steam, air, and chemical, are discussed. Particular attention is paid to physicochemical and biological methods of sterility monitoring, including the use of indicators and spore-forming microorganisms. The paper also addresses issues related to monitoring system organization, documentation, and personnel training. It examines methods for monitoring air and surface microbial contamination, as well as approaches to assessing the effectiveness of sterilization processes. Current trends, including automated monitoring and the implementation of innovative technologies, are highlighted.
subject: Articles
  topic: section
subject:
  topic: keywords
  value: Sterility, cosmetology, disinfection, sterilization, sterility control, microbial contamination, biological monitoring, chemical indicators, asepsis, antisepsis, patient safety, sanitary standards, cosmetology room.
creator: Milana Sabaleuskaya
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-02-26
publication date: 2026-02-26
starting page: 23
ending page: 30

INTELLEGENT AUTOMATION IT OPERATIONINTEGRATION OF AIOPS AND VOICE CONTROL SYSTEMS
type: item
description: This article examines approaches to automating IT infrastructure management using AIOps (Artificial Intelligence for IT Operations) technologies. The architecture, key tools, application areas, advantages, and limitation of implementing AIOps platforms are analyzed. Particular attention is paid to the use of machine complex. for monitoring, event analysis, and predictive infrastructure management.
subject: Articles
  topic: section
subject: AIOps, IT infrastructure, automation, monitoring, machine learning, DevOps.
  topic: keywords
creator: Bekzhan Abdimanapov
rights: Copyright (c) 2024 Bekzhan Abdimanapov https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2024-11-30
publication date: 2024-11-30
starting page: 100
ending page: 104

TEENAGE PREGNANCY AND SCHOOL ATTRITION: AN ASSESSMENT OF ACADEMIC PERFORMANCE AMONG GIRL-CHILD EDUCATION IN SECONDARY SCHOOLS IN TARABA STATE
type: item
description: Teenage pregnancy remains a significant barrier to the educational advancement of the girl-child in Sub-Saharan Africa. In Taraba State, Nigeria, prevailing socio-cultural and economic conditions create a context in which adolescent pregnancy frequently coincides with critical stages of secondary education, thereby posing serious threats to academic progression and completion. This study employed a descriptive survey research design, sampling 600 female students from selected public and private secondary schools across urban and rural areas of Taraba State. Data were collected using a structured questionnaire and analyzed using mean scores and standard deviations, with a decision benchmark of 2.50. The findings revealed a high prevalence of teenage pregnancy, with 36.3% of respondents reporting prior pregnancy experience. Most cases occurred among students aged 17–19, contributing to over-aged schooling and academic stagnation. Key determinants identified include lack of parental guidance, exposure to media and early marriage. Hypothesis testing showed that teenage pregnancy significantly affects academic performance and is strongly associated with school dropout. Additionally, affected students experience stigma, low self-esteem, and emotional distress, although family support serves as a mitigating factor. The study concludes that teenage pregnancy in Taraba State is a multifaceted problem that undermines educational attainment and perpetuates socio-economic inequality. It recommends a multi-sectoral approach involving comprehensive sexuality education, school-based counseling services, parental engagement, and government-led economic support initiatives.
subject: Articles
  topic: section
subject: Teenage Pregnancy, Academic Performance, Girl-Child Education, School Dropout, Socio-economic Factors.
  topic: keywords
creator: YUGUDA, Mohammed Sanusi
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-04-27
publication date: 2026-04-27
starting page: 62
ending page: 76

DETERMINATION OF HERBICIDE RESIDUES AND PHYSICOCHEMICAL PARAMETERS OF SOME SELECTED RIVERS IN TARABA STATE, NIGERIA
type: item
description: The intensification of agriculture in Nigeria has led to an increased reliance on agrochemicals, raising concerns about the contamination of freshwater resources. This study investigated the concentration of four herbicide residues Atrazine, 2,4-D, Paraquat, and Glyphosate and twenty-one physicochemical parameters across three key rivers in Taraba State: Lamurde, Mayo-Gwoi, and Sunkani. Water samples were analyzed and compared against World Health Organization and Nigerian Standard for Drinking Water Quality guidelines. Results indicated that Atrazine and 2,4-D levels in Lamurde and Mayo-Gwoi significantly exceeded permissible limits, while Paraquat also showed high concentrations in these areas. Physicochemical analysis revealed critically low Dissolved Oxygen levels (1.8–3.1mg/L) and exceptionally high turbidity (33.4–68.1NTU). Microbiological assessment confirmed high counts of E. coli and total coliforms. The calculated Water Quality Index classifies these water bodies as unsuitable for drinking. The findings underscore an urgent need for regulatory enforcement and the adoption of sustainable agricultural practices to protect aquatic biodiversity and public health.
subject: Articles
  topic: section
subject: Herbicides, Atrazine, Water Quality, Environmental Toxicology, Runoff.
  topic: keywords
creator: GIDADO, Joshua Danladi
creator: WELTIME, O. Medjor
creator: VIJINTI, Friday Cosmas
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-04-27
publication date: 2026-04-27
starting page: 44
ending page: 61

TRANSITION METAL OXIDE NANO PARTICLE SYNTHESIS, CHARACTERIZATION, AND CATALYTIC APPLICATIONS: A REVIEW
type: item
description: Nanomaterials have the potential to enable tremendous technological advancement, which is why they are attracting the attention of leading researchers at the moment. Nanocomposites based on transition metal oxides show great promise across a variety of fields and devices, including solar cells, photocatalytic degradation, supercapacitors, sensors, and bactericidal applications. Nanocomposites have been synthesized using a wide variety of methods, from simple chemical procedures to more complex methods such as Co-precipitation, sol-gel techniques, hydrothermal procedures, microwave-assisted synthesis, and biosynthesis. Nanoscale transition-metal oxide particles have been successfully fabricated using several analytical techniques, XRD, SEM, TEM, EDX, BET, TGA, IR, Raman, and UV spectroscopy are all included. Testing the utility of synthetic nanomaterials in solar, electrical, magnetic, and storage applications is the key action plan. In an effort to develop cleaner, more sustainable processes, scientists are currently studying the catalytic activity of nanocomposites in organic transformations. Nanocomposites based on transition metal oxides are reviewed in this article, along with their numerous morphologies, several characterization methods for identifying surface and structural properties, and their catalytic potential.
subject: Articles
  topic: section
subject: Catalytic, XRD, Nanopartical, Heterocycle.
  topic: keywords
creator: Zakia S. Mohsin
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-04-24
publication date: 2026-04-24
starting page: 22
ending page: 43

HEALTH AND PHYSICAL DEVELOPMENT OF MEDICAL STUDENTS
type: item
description: This paper examines the health and physical development of medical students. It analyzes key factors affecting their health, including high academic workload, psychoemotional stress, and lifestyle factors. Common disorders, such as gastrointestinal diseases, poor posture, decreased physical activity, and decreased immunity, are highlighted. Particular attention is paid to students' physical development and the problem of physical inactivity. It concludes that preventive measures aimed at improving the health and increasing the physical activity of medical students are necessary. This paper examines the health and physical development of medical students as a specific social and professional group. Studying at a medical school is accompanied by high intellectual and emotional stress, which significantly impacts the functional state of students. Key risk factors, such as chronic stress, sleep deprivation, irregular meals, physical inactivity, and intense academic workload, are analyzed.
subject: Articles
  topic: section
subject:
  topic: keywords
  value: Student health, physical development, medical students, physical inactivity, lifestyle, academic workload, stress, immunity, prevention, physical activity, functional state of the body, healthy lifestyle.
creator: Beysenova Ayzada Dayrabaevna
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-04-20
publication date: 2026-04-20
starting page: 19
ending page: 21

CLINICAL ASPECTS OF THE RELATIONSHIP BETWEEN GASTROESOPHAGEAL REFLUX DISEASE AND DENTAL DISORDERS
type: item
description: One of the pressing challenges of medical rehabilitation today is not only the treatment of the primary pathology, but also the elimination of the resulting disorders at all integrative levels of the body's functioning, restoration of functional capacity for living conditions familiar before the onset of the disease, achievement of social and professional adaptation, and improvement of quality of life. Finding solutions to this problem is relevant for patients with gastroesophageal reflux disease. Reflux disease, which is recognized as the leading disease of the digestive system due to its frequency, potential severe clinical manifestations, and consequences. The clinical picture of GERD is multifaceted and can manifest and be complicated by extraesophageal manifestations. Numerous studies indicate the widespread prevalence of bronchopulmonary pathology in patients with GERD. According to the literature, 34-60% of patients with GERD have chronic obstructive pulmonary disease. Two mechanisms are recognized as the main causes of chronic obstructive pulmonary disease in GERD: microaspiration of gastric contents into the bronchi and reflex etiology of pulmonary manifestations through the vago-vagal Reflex. Extraesophageal manifestations of GERD are often not associated by patients and physicians with gastrointestinal pathology, which can lead to inappropriate management strategies. Medication plays a key role in GERD treatment. The highest cure rates and maintenance of remission are achieved with combination therapy with proton pump inhibitors and prokinetic agents . Long-term use of these agents increases the risk of various complications, which are often unacceptable to the patient. Therefore, non-pharmacological approaches are increasingly becoming important in the comprehensive treatment of GERD.
subject: Articles
  topic: section
subject: Gastroesophageal reflux disease, GERD, enamel erosion, caries, dental disorders, acid reflux, dental hypersensitivity, oral mucosa, interdisciplinary approach.
  topic: keywords
creator: Axmedzyanova Alina Ruslanovna
creator: Supervisor: Petrova Yurita Yurevna
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-04-20
publication date: 2026-04-20
starting page: 15
ending page: 18

TECHNOLOGICAL APPROACHES TO THE PRODUCTION OF C₉ MONONUCLEAR ARENES FROM HYDROCARBON PYROLYSIS
type: item
description: This article discusses modern technologies for producing C₉ mononuclear arenes from hydrocarbon pyrolysis products. A process scheme for extracting aromatic compounds from pyrolysis gasoline is presented, including hydrotreating, selective extraction, and fractional distillation. Special attention is given to methods for obtaining trimethylbenzenes and propylbenzenes as key representatives of the C₉ fraction. Their industrial applications in petrochemical synthesis, solvents, and polymer production are also described. Additionally, recent advances in process optimization and environmental considerations are highlighted.
subject: Articles
  topic: section
subject: Pyrolysis, mononuclear arenes, C₉ fraction, trimethylbenzene, propylbenzene, pyrolysis gasoline, aromatic hydrocarbons, hydrotreating, sulfolane, selective extraction.
  topic: keywords
creator: Maxkamova Latofat
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-04-11
publication date: 2026-04-11
starting page: 11
ending page: 14

SCIENTIFIC AND METHODOLOGICAL FOUNDATIONS FOR DEVELOPING STUDENTS’ PEDAGOGICAL MASTERY THROUGH INTERACTIVE PLATFORMS
type: item
description: the rapid expansion of interactive digital platforms in higher education has changed not only the technical organization of teaching, but also the professional profile of the future educator. In contemporary pedagogical discourse, pedagogical mastery is no longer interpreted as a static set of rhetorical, methodological, and organizational skills acquired once and for all; rather, it is increasingly understood as a dynamic, reflective, ethically grounded, and technologically mediated capacity to design meaningful learning, sustain dialogue, diagnose difficulties, personalize support, and transform instructional situations into developmental opportunities. This article examines the scientific and methodological foundations for developing students’ pedagogical mastery through interactive platforms and argues that such development becomes effective only when technology is subordinated to pedagogical logic, dialogic interaction, and reflective practice. The study relies on integrative analysis of international conceptual frameworks, policy documents, and empirical research on digital pedagogy, online teaching competencies, mobile learning, learner engagement, and teacher professional development. On this basis, the article systematizes the conceptual approaches that should guide the educational use of interactive platforms in higher education, including competence-based, activity-oriented, constructivist, humanistic, reflective, and data-informed approaches. The article proposes a methodological model in which interactive platforms function not as repositories of content, but as environments for co-construction of knowledge, staged feedback, multimodal participation, collaborative inquiry, self-assessment, and pedagogical reflection. Special attention is devoted to the didactic conditions that ensure the transition from superficial digital activity to genuine pedagogical mastery: purposeful instructional design, ethical use of educational data, teacher facilitation, aca…
subject: Articles
  topic: section
subject:
  topic: keywords
  value: Interactive platforms, pedagogical mastery, higher education, digital pedagogy, teacher education, reflective learning, learner engagement, instructional design, professional competence, educational technology.
creator: Zikriyayev Fahriddin Ma’mur o‘g‘li
creator: Suleymanova Ra’no Dusbekovna
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-04-11
publication date: 2026-04-11
starting page: 1
ending page: 10

ARTIFICIAL INTELLIGENCE–BASED BIOPHYSICAL MODELING OF NEURAL SIGNAL DYNAMICS FOR EARLY NEUROLOGICAL DISORDER DETECTION
type: item
description: Early detection of neurological disorders remains a major clinical challenge due to the complex and dynamic nature of neural signal activity. Biophysical modeling combined with artificial intelligence (AI) provides a promising framework for analyzing electrophysiological patterns and identifying early pathological alterations. The present study investigates the integration of AI-driven algorithms with biophysical modeling of electroencephalographic (EEG) signals to enhance early diagnostic accuracy. A computational–analytical study design was implemented using simulated and clinically referenced neural signal datasets. Biophysical parameters including signal amplitude variability, frequency band power distribution, entropy indices, and nonlinear dynamic coefficients were extracted. Machine learning classifiers were applied to evaluate predictive performance. The results demonstrate that AI-integrated biophysical modeling significantly improves early-stage neurological disorder discrimination compared with conventional signal analysis approaches. Increased sensitivity and predictive accuracy were observed particularly in detecting early epileptiform activity and neurodegenerative pattern deviations. The findings suggest that combining quantitative biophysical frameworks with artificial intelligence enhances diagnostic precision and supports the development of predictive neurodiagnostic platforms. This interdisciplinary approach represents a critical advancement in computational neurobiophysics and precision neurology.
subject: Articles
  topic: section
subject: Biophysics; Neural signal modeling; EEG analysis; Artificial intelligence; Machine learning; Neurodiagnostics; Computational neuroscience; Early disease detection.
  topic: keywords
creator: Fazliddin Arzikulov
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2025-06-30
publication date: 2025-06-30
starting page: 368
ending page: 375

METHODOLOGY OF TEACHING OPTICS USING A COLLABORATIVE APPROACH
type: item
description: This paper explores the methodology of teaching optics through a collaborative learning approach. Collaborative teaching emphasizes active student participation, peer interaction, and shared responsibility for learning, which are particularly effective in mastering abstract and mathematically intensive topics in optics. The methodology integrates group-based problem solving, experimental activities, discussion-driven concept formation, and project-oriented tasks that encourage critical thinking and conceptual understanding. Special attention is given to the role of the teacher as a facilitator who guides learning rather than delivering information in a traditional lecture format. The proposed approach enhances students’ motivation, communication skills, and ability to apply theoretical knowledge to practical optical phenomena. The annotation also highlights the effectiveness of collaborative learning in developing scientific reasoning, improving academic performance, and fostering teamwork skills. The methodology can be successfully implemented in secondary and higher education institutions and is adaptable to modern educational technologies and laboratory-based instruction in physics.
subject: Articles
  topic: section
subject: Collaborative learning, optics education, physics teaching methodology, student-centered learning, group-based instruction, experimental learning, active learning techniques.
  topic: keywords
creator: Maxsudov Valijon Gafurjonovich
creator: Arzikulov Fazliddin Faxriddin o‘g‘li
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2025-01-31
publication date: 2025-01-31
starting page: 275
ending page: 281

MULTISCALE MODELING OF HUMAN PHYSIOLOGY IN DIGITAL HEALTHCARE SYSTEMS
type: item
description: This study examines the use of machine learning (ML) models for the early detection of cardiovascular diseases (CVDs). Early diagnosis is critical for effective treatment, yet traditional methods may be limited in speed and accuracy. ML algorithms, including logistic regression, support vector machines, and neural networks, analyze patient data such as medical history, lab results, and imaging to identify risk patterns. These models enable personalized risk assessment, improve clinical decision-making, and support timely intervention. The study also addresses challenges such as data privacy, model interpretability, and integration into healthcare systems. Overall, ML provides a promising approach to enhance early detection and management of cardiovascular diseases.
subject: Articles
  topic: section
subject: Machine learning, cardiovascular diseases, early detection, predictive models, risk assessment, healthcare analytics, supervised learning, neural networks
  topic: keywords
creator: Maxsudov Valijon Gafurjonovich
creator: Arzikulov Fazliddin Faxriddin o‘g‘li
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2025-01-31
publication date: 2025-01-31
starting page: 269
ending page: 274

ADVANCED COMPUTATIONAL MODELS FOR REAL-TIME CLINICAL DECISION MAKING IN DIGITAL MEDICINE
type: item
description: This study examines the use of machine learning (ML) models for the early detection of cardiovascular diseases (CVDs). Early diagnosis is critical for effective treatment, yet traditional methods may be limited in speed and accuracy. ML algorithms, including logistic regression, support vector machines, and neural networks, analyze patient data such as medical history, lab results, and imaging to identify risk patterns. These models enable personalized risk assessment, improve clinical decision-making, and support timely intervention. The study also addresses challenges such as data privacy, model interpretability, and integration into healthcare systems. Overall, ML provides a promising approach to enhance early detection and management of cardiovascular diseases.
subject: Articles
  topic: section
subject: Machine learning, cardiovascular diseases, early detection, predictive models, risk assessment, healthcare analytics, supervised learning, neural networks.
  topic: keywords
creator: Maxsudov Valijon Gafurjonovich
creator: Arzikulov Fazliddin Faxriddin o‘g‘li
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2025-01-31
publication date: 2025-01-31
starting page: 263
ending page: 268

SIMULATION AND MODELING TECHNIQUES FOR DISEASE PROGRESSION IN DIGITAL HEALTHCARE
type: item
description: This study examines the use of machine learning (ML) models for the early detection of cardiovascular diseases (CVDs). Early diagnosis is critical for effective treatment, yet traditional methods may be limited in speed and accuracy. ML algorithms, including logistic regression, support vector machines, and neural networks, analyze patient data such as medical history, lab results, and imaging to identify risk patterns. These models enable personalized risk assessment, improve clinical decision-making, and support timely intervention. The study also addresses challenges such as data privacy, model interpretability, and integration into healthcare systems. Overall, ML provides a promising approach to enhance early detection and management of cardiovascular diseases.
subject: Articles
  topic: section
subject: Machine learning, cardiovascular diseases, early detection, predictive models, risk assessment, healthcare analytics, supervised learning, neural networks.
  topic: keywords
creator: Maxsudov Valijon Gafurjonovich
creator: Arzikulov Fazliddin Faxriddin o‘g‘li
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2025-01-31
publication date: 2025-01-31
starting page: 257
ending page: 262

ELECTROPHYSIOLOGICAL ASSESSMENT OF AUTONOMIC NERVOUS SYSTEM ADAPTATION TO HEAT STRESS IN YOUNG ADULTS
type: item
description: Adaptation of the autonomic nervous system plays a crucial role in maintaining physiological stability under environmental stress conditions. In regions characterized by high ambient temperatures, heat stress represents a significant challenge to autonomic regulation, particularly in young adults. At early stages, adaptive disturbances may remain clinically silent while functional regulatory changes are already present. This study examines autonomic nervous system adaptation to heat stress in young adults using an electrophysiological and biophysical approach. Cardiac rhythm dynamics were analyzed to evaluate autonomic balance and regulatory flexibility under resting conditions associated with thermal exposure. Emphasis was placed on functional signal behavior rather than clinical symptomatology. The analysis revealed electrophysiological patterns indicative of reduced adaptive capacity, suggesting early autonomic strain in response to heat stress. The findings indicate that electrophysiological assessment provides sensitive markers of autonomic adaptation to environmental heat. Biophysical interpretation of autonomic regulation may support early identification of functional vulnerability and contribute to preventive strategies in populations exposed to prolonged thermal stress.
subject: Articles
  topic: section
subject: Biophysics; autonomic nervous system; heat stress; electrophysiological assessment; adaptation.
  topic: keywords
creator: Fazliddin Arzikulov
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2025-09-30
publication date: 2025-09-30
starting page: 83
ending page: 90

MULTISCALE MODELING OF HUMAN PHYSIOLOGY IN DIGITAL HEALTHCARE SYSTEMS
type: item
description: This study examines the use of machine learning (ML) models for the early detection of cardiovascular diseases (CVDs). Early diagnosis is critical for effective treatment, yet traditional methods may be limited in speed and accuracy. ML algorithms, including logistic regression, support vector machines, and neural networks, analyze patient data such as medical history, lab results, and imaging to identify risk patterns. These models enable personalized risk assessment, improve clinical decision-making, and support timely intervention. The study also addresses challenges such as data privacy, model interpretability, and integration into healthcare systems. Overall, ML provides a promising approach to enhance early detection and management of cardiovascular diseases.
subject: Articles
  topic: section
subject: Machine learning, cardiovascular diseases, early detection, predictive models, risk assessment, healthcare analytics, supervised learning, neural networks.
  topic: keywords
creator: Maxsudov Valijon Gafurjonovich
creator: Arzikulov Fazliddin Faxriddin o‘g‘li
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2025-09-30
publication date: 2025-09-30
starting page: 91
ending page: 98

BIOIMPEDANCE-BASED BIOPHYSICAL ASSESSMENT OF BODY COMPOSITION AND METABOLIC RISK IN YOUNG ADULTS
type: item
description: Early metabolic alterations often develop silently in young adults and may remain undetected until clinically significant disorders emerge. Changes in body composition, particularly the distribution of fat and lean mass, play a crucial role in metabolic regulation and long-term health outcomes. From a biophysical perspective, bioimpedance analysis provides a non-invasive method for evaluating tissue composition and functional metabolic risk. This study explores bioimpedance-based biophysical assessment of body composition as an indicator of metabolic risk in young adults. Electrical impedance parameters were analyzed to characterize body composition patterns and their association with metabolic vulnerability. Emphasis was placed on functional interpretation of impedance-derived indices rather than isolated anthropometric measures. The analysis revealed distinct body composition profiles associated with increased metabolic risk, even in individuals without overt clinical symptoms. The findings suggest that bioimpedance-based biophysical assessment offers valuable insight into early metabolic alterations. Application of this approach may support preventive screening strategies and early identification of metabolic risk in young adult populations.
subject: Articles
  topic: section
subject: Biophysics; bioimpedance analysis; body composition; metabolic risk; young adults.
  topic: keywords
creator: Fazliddin Arzikulov
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2025-09-30
publication date: 2025-09-30
starting page: 75
ending page: 82

IMPROVING STRENGTH QUALITIES IN YOUNG SHORT-DISTANCE RUNNERS THROUGH FITNESS TRAINING
type: item
description: This article focuses on improving the speed-strength qualities of adolescent short-distance runners in athletics. It analyzes scientifically based training load methods to enhance athletes’ running performance. The study examines the effect of weightlifting exercises on the speed-strength abilities of adolescents, and appropriate training loads are developed for training programs.The main purpose of the article is to improve the physical fitness of young athletes and to provide practical recommendations for direct load-based individual and group training aimed at recovery. The results show that special exercises significantly improve athletes’ explosive technique, which contributes to their overall performance. The study also presents methodological approaches for optimally organizing the training process, taking into account the physiological characteristics of adolescents.
subject: Articles
  topic: section
subject: Adolescent athletes, sprint running, speed-strength abilities, physical fitness, weightlifting exercises, training load dosage, explosive power, training process, sports physiology.
  topic: keywords
creator: Soliyeva Shoira Abdurashitovna
creator: Bakhtiyorov Fakhriyor Bakhodirjon oglu
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-03-31
publication date: 2026-03-31
starting page: 62
ending page: 64

THE IMPACT OF SOCIAL MEDIA ON THE MENTAL HEALTH OF YOUTH
type: item
description: In recent years, social media has become an integral part of young people’s daily lives. While these platforms provide opportunities for communication, self-expression, and access to information, they also pose potential risks to mental health. This article explores both the positive and negative effects of social media on the psychological well-being of youth and suggests strategies to minimize harmful impacts.
subject: Articles
  topic: section
subject: Social media, youth, mental health, anxiety, depression, digital communication.
  topic: keywords
creator: Rustamova Rano Parpievna
creator: Ismailova Arofat Mirzakhidovna
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-03-31
publication date: 2026-03-31
starting page: 57
ending page: 61

COMPREHENSIVE ASSESSMENT OF IMMUNOBIOCHEMICAL MARKERS IN THE DIAGNOSIS OF BRONCHIAL ASTHMA IN COMORBID COURSE WITH TYPE 2 DIABETES MELLITUS
type: item
description: The relevance of this study is обусловлена высокой частотой сочетания bronchial asthma (BA) and type 2 diabetes mellitus (T2DM), which mutually aggravate the clinical course. The aim of the study was to investigate clinical and immunobiochemical markers to improve diagnosis and assess disease severity. A total of 42 patients were examined and divided into two groups: isolated BA and BA combined with T2DM, with comprehensive clinical, laboratory, and immunological assessments performed. An increase in IL-4 levels up to 30.1 ± 1.4 pg/mL in BA+T2DM compared to BA (24.7 ± 1.2 pg/mL) and a decrease in IFN-γ to 12.3 ± 0.8 pg/mL relative to the control group (18.3 ± 1.0 pg/mL; p < 0.05) were observed. Endothelin-1 concentration increased to 2.41 ± 0.12 pg/mL alongside elevated HbA1c levels up to 8.44 ± 0.91%, reflecting endothelial dysfunction and metabolic disturbances. The level of sRAGE decreased to 720.5 ± 150.4 pg/mL in the comorbid group compared to BA (980.3 ± 180.1 pg/mL) and control (1450.3 ± 210.3 pg/mL; p < 0.05), indicating enhanced oxidative stress. The obtained results confirm the activation of inflammatory and metabolic pathways in BA combined with T2DM and justify the need for comprehensive laboratory monitoring.
subject: Articles
  topic: section
subject: Bronchial asthma, type 2 diabetes mellitus, cytokines, endothelin-1, glycated hemoglobin, SRAGE, comorbidity, immunobiochemical markers.
  topic: keywords
creator: Fayzullaeva Nigora Yakhyaevna
creator: Raufov Alisher Anvarovich
creator: Kayumov Abrorjon Anvarovich
creator: Mukhtorov Sherzod Murod ugli
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-03-31
publication date: 2026-03-31
starting page: 47
ending page: 56

GENERAL RELATIVITY
type: item
description: Einstein’s General Theory of Relativity (GR) redefines gravity as the curvature of spacetime generated by mass and energy rather than a classical force. This paper analyzes the motion of photons in curved spacetime as a direct diagnostic of gravitational field dynamics within the framework of the Schwarzschild metric. The study derives and interprets the null geodesic equations for photons and evaluates measurable consequences such as light deflection, gravitational redshift, and Shapiro time delay. Analytical modeling and comparative interpretation with modified gravity theories, including f(R) and scalar–tensor frameworks, reveal how photon trajectories serve as a sensitive probe of spacetime curvature. The results reproduce Eddington’s 1919 solar deflection measurements and confirm the geometric nature of gravitation while providing a theoretical basis for testing deviations from Einstein’s predictions in strong-field regimes. This approach offers an integrative view of photon dynamics as an experimental bridge between General Relativity and extended gravity theories.
subject: Articles
  topic: section
subject:
  topic: keywords
  value: General Relativity (GR); photon motion; null geodesics; Schwarzschild metric; gravitational redshift; light deflection; spacetime curvature; gravitational potential well; modified gravity; f(R) theory; scalar–tensor gravity; strong-field tests.
creator: Muattarxon Rasuljon qizi Tokhirjonova
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-03-18
publication date: 2026-03-18
starting page: 35
ending page: 56

FIRST SIGNS, CONSEQUENCES AND PREVENTIVE MEASURES OF RADIATION OF WORKERS AT URANIUM MINES
type: item
description: In this article on the basis of scientific sources the exposure of workers of uranium mines to ionizing radiation, biological effects of radiation on the body, its initial clinical signs, long-term consequences and preventive measures are analyzed on the basis of scientific sources. In the process of uranium mining, workers are exposed to alpha, beta and gamma radiation, as well as the radioactive gas - radon. These factors can cause changes at the molecular and genetic levels in the cells of the body. In the course of the study, international and domestic scientific sources on radiation hygiene, radiobiology and occupational hygiene were studied. The results of the analysis showed that compliance with radiation safety rules, the introduction of an effective ventilation system at the mines and regular medical examinations of workers significantly reduce the harmful effects of radiation.
subject: Articles
  topic: section
subject: Ionnet radiation, uranium deposits, radon, occupational radiation, radiation sickness, lung cancer, prevention, radiation safety.
  topic: keywords
creator: Boltayeva Marjona Dustmurod qizi
creator: Hayitmurodova Fayoza Anvar qizi
creator: Jalolov Nozimjon Nodir o’g’li
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-03-18
publication date: 2026-03-18
starting page: 30
ending page: 34

EFFECT OF A BIOACTIVE SUPPLEMENT BASED ON CHITOSAN AND WHEY POWDER ON HEPATIC METABOLIC ENZYMES AND DETOXIFICATION PROCESSES
type: item
description: This study investigated the effect of a complex biological supplement composed of chitosan sulfate and whey powder on hepatic microsomal enzymes and lipid peroxidation processes under metabolic syndrome conditions. The findings demonstrated that metabolic syndrome induction reduces NADPH–cytochrome C reductase and amidopyrine demethylase activity and increases lipid peroxidation 2.7-fold. Administration of the chitosan–whey complex restored enzyme activity by 89–93% and reduced MDA levels by 52%. The results scientifically justify the hepatoprotective potential of the bioactive complex and its possible application in veterinary and biomedical fields.
subject: Articles
  topic: section
subject: Liver, metabolic syndrome, chitosan, whey powder, detoxification, NADPH reductase, cytochrome P-450, lipid peroxidation, antioxidant system.
  topic: keywords
creator: Rakhmonov Farhod Kholbayevich
creator: Allaberdiyeva Mushtariybonu
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-03-14
publication date: 2026-03-14
starting page: 26
ending page: 29