Web of Scientists and Scholars: Journal of Multidisciplinary Research
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
TEENAGE PREGNANCY AND SCHOOL ATTRITION: AN ASSESSMENT OF ACADEMIC PERFORMANCE AMONG GIRL-CHILD EDUCATION IN SECONDARY SCHOOLS IN TARABA STATE
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.
Teenage Pregnancy, Academic Performance, Girl-Child Education, School Dropout, Socio-economic Factors.
Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
DETERMINATION OF HERBICIDE RESIDUES AND PHYSICOCHEMICAL PARAMETERS OF SOME SELECTED RIVERS IN TARABA STATE, NIGERIA
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.
Herbicides, Atrazine, Water Quality, Environmental Toxicology, Runoff.
TRANSITION METAL OXIDE NANO PARTICLE SYNTHESIS, CHARACTERIZATION, AND CATALYTIC APPLICATIONS: A REVIEW
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.
Catalytic, XRD, Nanopartical, Heterocycle.
HEALTH AND PHYSICAL DEVELOPMENT OF MEDICAL STUDENTS
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.
Student health, physical development, medical students, physical inactivity, lifestyle, academic workload, stress, immunity, prevention, physical activity, functional state of the body, healthy lifestyle.
CLINICAL ASPECTS OF THE RELATIONSHIP BETWEEN GASTROESOPHAGEAL REFLUX DISEASE AND DENTAL DISORDERS
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.
Gastroesophageal reflux disease, GERD, enamel erosion, caries, dental disorders, acid reflux, dental hypersensitivity, oral mucosa, interdisciplinary approach.
TECHNOLOGICAL APPROACHES TO THE PRODUCTION OF C₉ MONONUCLEAR ARENES FROM HYDROCARBON PYROLYSIS
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.
Pyrolysis, mononuclear arenes, C₉ fraction, trimethylbenzene, propylbenzene, pyrolysis gasoline, aromatic hydrocarbons, hydrotreating, sulfolane, selective extraction.
SCIENTIFIC AND METHODOLOGICAL FOUNDATIONS FOR DEVELOPING STUDENTS’ PEDAGOGICAL MASTERY THROUGH INTERACTIVE PLATFORMS
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, academic integrity, inclusive access, structured reflection, and continuity between theory and practice. The findings show that interactive platforms can substantially strengthen students’ pedagogical mastery when they are integrated into the curriculum as developmental ecosystems rather than as isolated technical tools, and when institutional support, educator competence, and assessment culture evolve in parallel.
Interactive platforms, pedagogical mastery, higher education, digital pedagogy, teacher education, reflective learning, learner engagement, instructional design, professional competence, educational technology.
ARTIFICIAL INTELLIGENCE–BASED BIOPHYSICAL MODELING OF NEURAL SIGNAL DYNAMICS FOR EARLY NEUROLOGICAL DISORDER DETECTION
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.
Biophysics; Neural signal modeling; EEG analysis; Artificial intelligence; Machine learning; Neurodiagnostics; Computational neuroscience; Early disease detection.
METHODOLOGY OF TEACHING OPTICS USING A COLLABORATIVE APPROACH
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.
Collaborative learning, optics education, physics teaching methodology, student-centered learning, group-based instruction, experimental learning, active learning techniques.
MULTISCALE MODELING OF HUMAN PHYSIOLOGY IN DIGITAL HEALTHCARE SYSTEMS
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.
Machine learning, cardiovascular diseases, early detection, predictive models, risk assessment, healthcare analytics, supervised learning, neural networks
ADVANCED COMPUTATIONAL MODELS FOR REAL-TIME CLINICAL DECISION MAKING IN DIGITAL MEDICINE
Machine learning, cardiovascular diseases, early detection, predictive models, risk assessment, healthcare analytics, supervised learning, neural networks.
SIMULATION AND MODELING TECHNIQUES FOR DISEASE PROGRESSION IN DIGITAL HEALTHCARE
ELECTROPHYSIOLOGICAL ASSESSMENT OF AUTONOMIC NERVOUS SYSTEM ADAPTATION TO HEAT STRESS IN YOUNG ADULTS
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.
Biophysics; autonomic nervous system; heat stress; electrophysiological assessment; adaptation.
BIOIMPEDANCE-BASED BIOPHYSICAL ASSESSMENT OF BODY COMPOSITION AND METABOLIC RISK IN YOUNG ADULTS
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.
Biophysics; bioimpedance analysis; body composition; metabolic risk; young adults.
IMPROVING STRENGTH QUALITIES IN YOUNG SHORT-DISTANCE RUNNERS THROUGH FITNESS TRAINING
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.
Adolescent athletes, sprint running, speed-strength abilities, physical fitness, weightlifting exercises, training load dosage, explosive power, training process, sports physiology.
THE IMPACT OF SOCIAL MEDIA ON THE MENTAL HEALTH OF YOUTH
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.
Social media, youth, mental health, anxiety, depression, digital communication.
COMPREHENSIVE ASSESSMENT OF IMMUNOBIOCHEMICAL MARKERS IN THE DIAGNOSIS OF BRONCHIAL ASTHMA IN COMORBID COURSE WITH TYPE 2 DIABETES MELLITUS
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.
Bronchial asthma, type 2 diabetes mellitus, cytokines, endothelin-1, glycated hemoglobin, SRAGE, comorbidity, immunobiochemical markers.
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.
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.
FIRST SIGNS, CONSEQUENCES AND PREVENTIVE MEASURES OF RADIATION OF WORKERS AT URANIUM MINES
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.
Ionnet radiation, uranium deposits, radon, occupational radiation, radiation sickness, lung cancer, prevention, radiation safety.
EFFECT OF A BIOACTIVE SUPPLEMENT BASED ON CHITOSAN AND WHEY POWDER ON HEPATIC METABOLIC ENZYMES AND DETOXIFICATION PROCESSES
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.
Liver, metabolic syndrome, chitosan, whey powder, detoxification, NADPH reductase, cytochrome P-450, lipid peroxidation, antioxidant system.
DEVELOPMENT OF VEHICLE TRANSPORT ACTIVITIES IN THE DIGITAL ECONOMY ON THE BASIS OF DIGITAL TECHNOLOGIES
The article analyzes the issues of transformation of the road transport system in the digital economy, the introduction of intelligent transport systems (ITS) and the optimization of freight processes. The impact of digital technologies on economic efficiency is assessed.
Digital economy, road transport, logistics, intelligent systems, blockchain, Big Data, efficiency.
EPIDEMIOLOGICAL ASPECTS OF MENINGITIS PREVENTION AMONG CHILDREN AND ADOLESCENTS
This article analyzes the epidemiological characteristics of meningitis among children and adolescents, the associated risk factors, and the effectiveness of preventive measures. Meningitis is one of the most dangerous infectious diseases of the central nervous system and can rapidly progress, leading to severe complications or death. The spread of the disease is influenced by sanitary and hygienic conditions, immunization coverage, socio-economic factors, and the effectiveness of epidemiological surveillance. Based on data from the World Health Organization (WHO), the Centers for Disease Control and Prevention (CDC), and scientific publications, effective strategies for disease prevention were evaluated.
Meningitis; child health; epidemiology; prevention; hygiene; vaccination; infectious diseases; community transmission; risk factors.
STUDYING THE ASSOCIATION BETWEEN GEOMAGNETIC STORMS AND ATTACKS OF ARTERIAL HYPERTENSION
Geomagnetic storms are space weather phenomena characterized by abrupt disturbances in the Earth’s magnetic field caused by solar activity. Recent scientific studies indicate that geomagnetic activity may exert a significant influence on the human body, particularly on the cardiovascular system. This literature review is devoted to the epidemiological analysis of the relationship between geomagnetic storms and attacks of arterial hypertension. The study evaluates changes in arterial blood pressure and the risk of cardiovascular complications during periods of geomagnetic activity based on modern scientific publications, meta-analyses, and epidemiological observations. According to the analyzed data, periods of geomagnetic storms may be associated with increased average blood pressure levels, decreased heart rate variability, and a higher incidence of hypertensive attacks. Therefore, the development of preventive strategies based on space weather monitoring may play an important role in reducing the risk of cardiovascular diseases.
Geomagnetic storm, arterial hypertension, cardiovascular diseases, epidemiology, blood pressure, prevention.
PRAGMATIC MARKERS OF CONFLICT AND HARMONY IN DRAMATIC DISCOURSE
Dramatic discourse is a stylised form of communication in which conflict and harmony are central engines of plot development and characterisation. Because plays are built almost entirely out of talk, pragmatic markers—such as address terms, discourse markers, interjections, vocatives, repetitions, and formulaic expressions—become key resources for signalling tension, solidarity, aggression or reconciliation on stage. Unlike narrative prose, where description mediates interaction, dramatic dialogue foregrounds the immediacy of speech as social action. Every utterance performs relational work. In this sense, drama represents what Goffman (1967) conceptualised as “interaction ritual,” where face is continuously negotiated through verbal exchange. Recent work on dramatic pragmatics stresses that the language of plays, while scripted, is designed to imitate interactional reality and to exploit pragmatic mechanisms like speech acts, implicature and deixis in order to shape audience interpretation (Khursanov, 2025; Rasulova, 2024). The scripted nature of drama does not diminish its pragmatic authenticity; rather, it intensifies and stylises naturally occurring communicative processes to make relational dynamics theatrically visible.
ANALYSIS OF THE FIBROUS MATERIAL CLEANING PROCESS AND DEVELOPMENT OF ITS COMPUTER MODEL
This article is devoted to the analysis of the technological process of cleaning fibrous materials from impurities and the possibilities of its computer modeling. The study examines the difficulties arising from the probabilistic nature of the interaction of fibrous mass particles with the working parts of cleaning machines. An overview of various approaches to modeling technological processes is presented, including geometric, dynamic, probabilistic (Markov), statistical, and simulation statistical models. A detailed analysis of the operation of the spiked drum and grid surface pair of the CL-P preliminary cotton cleaner is carried out. As a result of the impact action of the spikes, the acceleration of the cotton lump increases sharply and then decreases. It was found that along the X-axis, the acceleration initially becomes positive and then negative, which is explained by the transition from decelerated motion before the impact to accelerated motion after the impact. The paper presents differential equations describing the motion of a cotton lump, considering the impact force, air resistance, friction, and centrifugal force. It is shown that these equations cannot be solved analytically and require numerical integration using methods such as Runge-Kutta. The analysis of graphical dependencies shows that the friction coefficient and the rotational speed of the drum significantly affect the velocity of the lump and the path traveled. The obtained results allow for a more accurate description of the cleaning process and optimization of the design parameters of cleaning machines.
Cotton cleaner, spiked drum, grid surface, cleaning process, mathematical modeling, computer simulation, impact force, friction coefficient, differential equations, Runge-Kutta method.
LINGUOPOETIC ANALYSIS OF A LITERARY TEXT
The present article examines the theoretical foundations and methodological principles of linguopoetic analysis of literary texts. Literary discourse is characterized by complex linguistic structures through which objective reality is artistically reconstructed by means of imagery and aesthetic expression. The study emphasizes that the language of fiction serves as the primary distinguishing feature separating literary texts from other functional styles. Drawing on classical and modern linguistic theories, including the views of Aristotle, F. de Saussure, Goethe, and A. Alonso, the article highlights the interdisciplinary nature of linguopoetics at the intersection of linguistics and literary studies. Particular attention is paid to paradigmatic and syntagmatic word choice, stylistic markedness, graphic devices, and deviations from linguistic norms as tools for creating poetic meaning. The research also considers the role of idiomatic, pragmatic, and linguocultural features in revealing artistic imagery and character portrayal. Furthermore, the article outlines the contribution of Eastern linguistic and philosophical traditions to the development of text interpretation and word aesthetics. The findings demonstrate that linguopoetic analysis provides an effective framework for uncovering the aesthetic, semantic, and expressive potential of literary texts, thereby deepening the understanding of artistic language and its communicative functions.
Linguopoetics, literary text, linguopoetic analysis, artistic language, poetic meaning, paradigmatic and syntagmatic relations, stylistic devices, linguocultural features, aesthetic expression, discourse analysis.
THE CATEGORY OF BEAUTY AS A POWERFUL INSTRUMENT OF “MASS CULTURE” IN THE ERA OF GLOBALIZATION
In the era of globalization, many fields, including aesthetics within philosophy, have undergone significant changes. Centuries-old standards of inner and outer beauty have been replaced by false, artificial standards that have negatively impacted people's aesthetic tastes. This article conducts a comparative study of the secular and religious foundations of beauty, and analyzes it as one of the weapons of “mass culture”.
Ethics, aesthetics, beauty, beauty standards, “mass culture”, falsehood, outer and inner beauty.
LEXICAL-SEMANTIC INTERPRETATION OF ARABIC BORROWINGS IN EXPLANATORY DICTIONARIES OF ALISHER NAVOI'S WORKS
This article provides a detailed analysis of the sign-semasis of Arabic borrowings found in explanatory dictionaries compiled for the works of Alisher Navoi. These borrowings—lexemes that express personal and object-related attributes (such as moral and psychological traits, appearance, color, and taste)—are examined from lexical-semantic, lexical-syntactic, and stylistic perspectives. In addition, the paper explores the contextual dependence of positive and negative character traits and their adaptation to the Uzbek language system.
Dictionary, borrowing, Arabisms, sign-semasis, personal-character traits, appearance, mentality, color, taste, positive feature, negative feature, adaptation.
GLOBAL MIGRATION PROCESS AND ITS INFLUENCE TO THE POLITICAL – ECONOMIC CONDITION OF IMMIGRATING COUNTRIES
This study explores the economic and political impacts of global migration on receiving countries. Using a mixed-methods approach and data from OECD, UN, and World Bank (2015–2025), it analyzes labor market shifts, fiscal effects, and policy responses. Findings reveal migration’s dual role—stimulating economic growth while intensifying political tensions—and propose integrated international strategies for effective migration governance.
Global migration, economic impact, political influence, labor market, integration, globalization, policy, OECD, UN, World Bank, governance, demographics, social inclusion, international cooperation, sustainable development, innovation, employment, public perception, migration management, global economy.