European International Journal of Multidisciplinary Research and Management Studies

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

Dr. Alexei V. Morozov — 2026-04-01

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

Emily Carter — 2026-04-17

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.

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

Ismаtоvа Nоdirаxоn Mаxmudоvnа — 2026-04-15

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.

Integrated Protection Mechanisms in Automated Business Application Delivery Systems

Dr. Suman Adhikari — 2026-04-16

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.

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

Sofia Laurent Müller — 2026-04-06

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.

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

Dilafruz Mansurovna Mukhiddinova — 2026-04-15

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.

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

Umaraliev Ismoiljon Ibrohimjon ugli — 2026-04-15

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.

Translation of Gastronoms From English Into Uzbek

Talipova Shaxnoza Shuxratovna — 2026-04-11

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.