European International Journal of Multidisciplinary Research and Management Studies

The Impact of Colmatation On Well Gas Condensate Recovery

2026-04-28T04:24:52+00:00

The article examines the influence of pore space colmatation on the gas condensate recovery of a well. Colmatation, arising from mechanical, chemical, and biological processes, leads to a decrease in reservoir permeability and deterioration of the formation's porosity and permeability properties. Special attention is given to the mechanisms of colmatation formation, methods for its diagnostics, and possible ways to minimize its negative impact. Experimental data and modeling are presented, confirming the need for a comprehensive approach to colmatation management to improve the efficiency of gas condensate reservoir development.

Evaluation of Malignancy Probability Under Varying Exposure Intensities: Updated Efficiency Coefficients Based on Reanalyzed Atomic Blast Measurement Datasets and Healthy Tissue Absorption Levels

2026-04-03T02:00:55+00:00

Accurate estimation of malignancy probability under varying radiation exposure intensities remains a fundamental challenge in radiological protection, epidemiology, and clinical risk modeling. Traditional dose-response frameworks, largely derived from atomic bomb survivor data, have provided foundational insights into cancer risk; however, limitations in historical dosimetry systems and assumptions regarding dose-rate effectiveness have introduced uncertainties. This study presents a comprehensive re-evaluation of malignancy probability by integrating revised atomic blast measurement datasets with refined models of healthy tissue absorption. The research focuses on deriving updated efficiency coefficients that account for dose-rate variability, biological repair mechanisms, and non-tumor dose thresholds.

The methodological framework combines statistical modeling of epidemiological datasets with theoretical radiobiological principles, emphasizing nonlinear dose-response relationships and threshold-like effects. Reanalyzed dosimetry systems, including DS86 and DS02, are utilized to reassess exposure distributions and their correlation with cancer incidence patterns. The study incorporates evidence from both human cohorts and experimental models to establish a multi-scale understanding of radiation-induced carcinogenesis.

Key findings indicate that traditional linear extrapolation models may overestimate malignancy probability at low dose rates, particularly when biological adaptation and repair processes are considered. The derived efficiency coefficients demonstrate variability across exposure intensities, suggesting that a single universal dose-rate effectiveness factor is insufficient. The integration of healthy tissue absorption metrics further refines risk estimation by accounting for differential energy deposition across biological structures.

The study contributes to ongoing debates regarding low-dose radiation risk, offering a revised framework that enhances predictive accuracy while addressing inconsistencies in previous models. Implications extend to radiation protection guidelines, medical imaging practices, and environmental exposure assessments. Limitations include uncertainties in historical data reconstruction and variability across population-based studies. Future research should focus on integrating molecular-level biomarkers and advanced computational modeling to further refine risk predictions.

Analytical Study on Psychological Strain, Nutritional Intake Behavior, and Movement Activity Participation within Tertiary Learners in South Asian Regions: Describing Occurrence Linkages

2026-04-17T07:20:51+00:00

The increasing complexity of student lifestyles in South Asian tertiary education systems has led to significant interdependencies among psychological strain, dietary behaviors, and physical activity engagement. This study presents a technical and analytical framework to examine the distribution and interrelationship of these three domains within university student populations. Drawing upon interdisciplinary foundations including behavioral monitoring, physiological stress assessment, and socio-technical surveillance models, this research constructs a multidimensional analytical model to evaluate occurrence patterns and linkage dynamics.

The study integrates theoretical insights from workplace monitoring and performance evaluation literature to conceptualize behavioral tracking in academic environments, where cognitive load, stress exposure, and lifestyle choices interact dynamically (Nebeker and Tatum, 1993; Alder and Ambrose, 2005). Additionally, physiological measurement approaches, such as stress detection through behavioral proxies, inform the evaluation of psychological strain within student populations. Nutritional intake behaviors are analyzed as both independent and stress-mediated variables, influenced by environmental, social, and institutional factors.

A key contribution of this paper is the formulation of a tri-domain interaction model that identifies causal and correlational relationships between psychological burden, dietary patterns, and physical activity. Empirical insights from recent lifestyle studies among college students reinforce the significance of integrated health assessments, highlighting the co-occurrence of stress, poor dietary habits, and reduced physical activity (Agarwal & BoopathyUsharani, 2026). The study further incorporates sociological perspectives on surveillance and behavioral regulation to interpret institutional influences on student habits.

Findings suggest that psychological strain significantly alters both nutritional intake and physical activity participation, while feedback loops between these domains further exacerbate or mitigate overall well-being. The research emphasizes the need for integrated policy frameworks within higher education institutions to address student health holistically. Limitations include reliance on theoretical synthesis and absence of primary data collection, suggesting future directions for empirical validation.

Strategic Financial Instruments as A Catalyst for Service Sector Competitiveness

2026-04-30T08:17:03+00:00

The service industry’s growth is increasingly dependent on the agility of financial flows and the diversity of funding instruments. This article examines the role of non-traditional financial mechanisms, such as operational leasing, venture financing, and Public-Private Partnerships (PPP), in boosting the competitive standing of service enterprises. By analyzing the shift from asset-heavy to asset-light financial models, the study demonstrates how optimized capital structures allow service firms to respond more effectively to market shifts. The findings suggest that financial flexibility is a stronger determinant of competitiveness than total capital volume in the modern service economy.

Linguostatistical Analysis of Toponyms Formed with Color Terms in The Uzbek Language

2026-04-16T13:22:40+00:00

This study examines toponyms formed with color terms in the Uzbek language using a linguostatistical approach. Based on a corpus of 1,200 place names, including 312 with color components, the research identifies their frequency, structural patterns, and semantic features. The results show that oq (white) and qora (black) are the most productive elements, reflecting both physical characteristics and cultural-symbolic meanings. The study highlights the interaction between language, culture, and geography in Uzbek toponymy and contributes to linguocultural and onomastic research.

The Use of Digital Red Fluorescence in The Diagnosis of Acne

2026-04-29T06:38:40+00:00

There are many methods for diagnosing acne, but there is no generally accepted standard for diagnosis. One of the mechanisms of the pathogenesis of acne is considered to be increased sebum formation. We studied sebum formation in 62 patients with severe acne using the UVRF method.

Integrated Protection Mechanisms in Automated Business Application Delivery Systems

2026-04-16T07:21:26+00:00

The rapid evolution of automated business application delivery systems has significantly transformed enterprise software deployment paradigms, particularly within DevOps and DevSecOps ecosystems. However, increasing system complexity, real-time integration requirements, and dependency on distributed infrastructure have introduced critical vulnerabilities related to system protection, fault tolerance, and operational resilience. This research investigates integrated protection mechanisms embedded within automated delivery pipelines, focusing on how principles derived from hardware-level protection systems—such as overvoltage and overcurrent control in power electronics—can be conceptually and functionally mapped to software delivery environments.

The study synthesizes insights from circuit-level protection strategies, including dynamic voltage feedback, current sensing, and adaptive threshold mechanisms, to conceptualize analogous safeguards in application delivery systems. By leveraging models from DC-DC converter protection frameworks, real-time anomaly detection, and adaptive control systems, the research develops a multi-layered protection architecture that enhances system stability, minimizes deployment risks, and ensures secure execution across continuous integration and deployment pipelines.

Furthermore, the research incorporates DevSecOps-oriented security controls, emphasizing proactive detection of irregularities such as authentication drift, unauthorized configuration changes, and deployment anomalies. The integration of these mechanisms enables a feedback-driven system capable of learning from failures and dynamically adjusting operational parameters, aligning with recent advancements in automated security governance (Gangaiah et al., 2026).

Through analytical modeling and conceptual validation, the study demonstrates that adopting cross-domain protection strategies significantly improves system robustness, reduces downtime, and mitigates cascading failures in enterprise environments. The findings contribute to the development of resilient, self-regulating application delivery systems that bridge the gap between hardware-inspired reliability models and software-centric operational frameworks.

Combating Hydrate Formation in Well Flowlines

2026-04-28T04:29:05+00:00

The article details methods for the timely detection of ice plugs, which predominantly form on the side of the gas gathering station (GGS) at pipe bends, turns, and valve installations. Early detection of the problem is based on the following indicators:

Decrease in gas flow rate at the metering station.
Appearance of an uncharacteristic gas flow sound at the GGS.
Pressure increases in the well lines.

For accurate localization of the formed blockage, acoustic monitoring, temperature measurement using infrared thermometers (since the temperature is significantly lower at the plug locations), and analysis of the pressure drop rate during a test line blowdown are used.

The authors provide a number of practical measures for eliminating hydrate formations:

Sudden opening of the valve after a preliminary pressure build-up to mechanically shift and destroy the plug.
Local heating of the problem area using a heat gun.
Flowline blowdown (direct and reverse) to create a destructive pressure differential before and after the plug. At the same time, it is noted that these methods can provoke a dangerous water hammer.
Two-way gas bleeding followed by thawing, which is highlighted as the safest but most time-consuming method.

A special emphasis is placed on the need for strict compliance with all health, safety, and environmental (HSE) rules and regulations when carrying out the work.

Integrating Hydrometallurgical Electronic Waste Recycling with Cloud-Native Resilient Systems: A Multi-Dimensional Framework for Sustainable Resource Recovery and Digital Reliability

2026-04-06T10:39:16+00:00

The rapid proliferation of electronic devices has led to an unprecedented increase in electronic waste (e-waste), posing significant environmental, economic, and technological challenges. Hydrometallurgical processes have emerged as a promising solution for recovering valuable metals from e-waste, particularly waste printed circuit boards (WPCBs), due to their efficiency and selectivity. However, these processes are associated with environmental risks, operational complexities, and scalability challenges. Concurrently, advancements in cloud computing, artificial intelligence, and site reliability engineering (SRE) have introduced new paradigms for managing complex industrial systems with enhanced resilience and automation. This study proposes an integrative framework that combines hydrometallurgical e-waste recycling with cloud-native infrastructure, aiming to optimize resource recovery while ensuring system reliability, scalability, and environmental sustainability. The research synthesizes insights from life cycle assessment (LCA), metallurgical recovery techniques, polymer separation technologies, and cloud-based system architectures. A hybrid methodological approach is employed, incorporating theoretical modeling, literature synthesis, and cross-domain conceptual integration. The findings reveal that while hydrometallurgical processes offer high recovery efficiency, their environmental impacts and operational uncertainties necessitate advanced monitoring and control mechanisms. The integration of AI-driven self-healing systems, predictive analytics, and cloud automation significantly enhances process reliability and reduces downtime. Furthermore, the study highlights the importance of cybersecurity and supply chain resilience in the digitalization of recycling systems. The proposed framework contributes to the development of sustainable, intelligent recycling infrastructures aligned with Industry 5.0 principles. Future research directions include real-time adaptive control systems, decentralized recycling networks, and the incorporation of circular economy metrics into digital optimization platforms.

Psychosocial and Lifestyle Determinants of Academic Burnout: An Integrative Analysis of Stress, Personality Traits, Dietary Behaviors, And Physical Activity Among University Students in The Post-Pandemic Era

2026-04-22T08:55:27+00:00

The contemporary academic environment has become increasingly complex, characterized by heightened psychological demands, lifestyle imbalances, and evolving socio-environmental stressors, particularly in the aftermath of the COVID-19 pandemic. This research presents a comprehensive theoretical and integrative analysis of academic burnout among university students, emphasizing the interconnected roles of stress levels, dietary habits, physical activity, and personality traits. Drawing from a diverse body of literature, including frameworks such as the Five-Factor Model, the Dark Triad of personality, and lifestyle triad constructs, this study synthesizes evidence to explore how behavioral and psychological dimensions collectively influence student well-being. The study also incorporates insights into gender-specific physiological considerations, such as the Female Athlete Triad, and broader societal influences including stigma, institutional barriers, and geographic determinants of mental health. The findings reveal that academic burnout is not merely an outcome of academic pressure but a multifactorial phenomenon shaped by deeply embedded lifestyle patterns, personality predispositions, and systemic conditions. Stress, when compounded by poor dietary choices and insufficient physical activity, significantly exacerbates burnout symptoms. Furthermore, personality traits such as neuroticism and maladaptive characteristics associated with the Dark Triad contribute to vulnerability, while protective traits such as conscientiousness and emotional stability mitigate risks. The long-term psychological effects of the COVID-19 pandemic further intensify these dynamics, underscoring the need for holistic interventions. This study highlights the urgent need for integrated mental health frameworks within higher education institutions that address both behavioral and psychological determinants. Theoretical implications, policy recommendations, and future research directions are discussed in detail.

The Role of National Direct Taxation in Ensuring Macroeconomic Stability and Public Finance Sustainability

2026-04-30T08:20:39+00:00

This paper investigates the structural significance of direct taxation—specifically Corporate Income Tax (CIT) and Personal Income Tax (PIT)—in the formation of state financial resources. In the context of global economic shifts, the stability of public finance relies heavily on the elasticity and reliability of tax revenues. Through a quantitative analysis of fiscal indicators, this study demonstrates that direct taxes serve not only as a revenue generator but also as a fundamental tool for wealth redistribution and counter-cyclical economic regulation. The findings suggest that a robust direct tax framework reduces budget volatility and strengthens the sovereign credit rating of a nation.

Academic Honesty in The Use of Artificial Intelligence in The Educational Process

2026-04-16T13:24:33+00:00

Artificial intelligence (AI), particularly creative AI tools, has quickly found its way into our schools, reshaping how we teach and how students learn. While AI brings some really helpful benefits for education—such as custom learning experiences, immediate feedback, and improved ways to research—it also sparks serious concerns about honesty in academic work. This article dives into the ethical questions surrounding AI in classrooms, points out new ways academic misconduct might appear, and suggests approaches to uphold integrity in this digital era. Drawing on recent practical and theoretical research, this paper proposes that instead of just banning AI, our approach to academic honesty should shift towards encouraging its responsible, open, and educationally beneficial use.

Prospects for Improving the Efficiency of Commercial Banks' Loan Portfolio in The Modern Economy

2026-04-30T08:13:07+00:00

The loan portfolio constitutes the largest and most significant component of a commercial bank's assets. Its quality directly influences the financial stability, profitability, and overall competitiveness of a banking institution. This study explores the current challenges in credit management and identifies strategic prospects for enhancing portfolio efficiency. By analyzing credit risk mitigation techniques and the integration of Artificial Intelligence (AI) in scoring models, the paper provides a roadmap for banks to optimize their lending operations. The findings emphasize that digital transformation and proactive risk monitoring are vital for maintaining a healthy loan-to-asset ratio.

The Concept Of “Dark Pattern” In Competition Law and Its Legal Nature

2026-04-16T13:19:13+00:00

The article explores the concept, types, origins, and applications of “dark pattern” within the framework of competition law, as well as their impact and various regulatory approaches and solutions in practice.

Theoretical and practical issues related to identifying and regulating dark pattern behaviors in competition law are analyzed based on the legislation of foreign countries and existing legal theories.

Application of Solid Foam Generators for Liquid Removal from The Bottom of Gas Condensate Wells

2026-04-28T04:31:57+00:00

This article examines the application of solid foam generators for liquid removal from the bottom of gas condensate wells. The study focuses on challenges arising at the late stages of gas condensate field development, such as increasing well flow rates and reducing water cut. The article presents the results of pilot industrial tests of solid foam generators, analyzing their efficiency and technical-economic performance. Special attention is given to the mechanism of action of foam generators and their impact on reducing operational costs. Recommendations for the optimal use of solid foam generators in various gas condensate field conditions are proposed. The findings indicate a significant potential for using solid foam generators to enhance profitability and extend the operational life of gas condensate wells.

Translation of Gastronoms From English Into Uzbek

2026-04-12T11:30:40+00:00

This article examines the theoretical and practical aspects of translating gastronomic vocabulary from English into Uzbek. Gastronomy is analyzed as a specific subsystem of language that reflects the cultural, historical, and ethnolinguistic characteristics of a people. Particular attention is paid to lexical, semantic, and pragmatic difficulties that arise when translating the names of dishes, products, and culinary processes. Modern translation strategies such as adaptation, borrowing, descriptive translation, and functional substitution are discussed. The importance of the translator’s cultural competence and the need to take into account national traditions when working with culinary texts are emphasized.