Nvpubhouse Library for European International Journal of Multidisciplinary Research and Management Studies

Digital Learning Ecosystems For Vocational Education: A Data-Driven Framework For Enhancing Quality Management Mechanisms

2025-12-22T05:11:28+00:00

The rapid digitalization of vocational education has expanded opportunities to improve teaching quality, strengthen outcome transparency, and support evidence-based institutional management. To harness these benefits, coherent frameworks are needed to connect technological, pedagogical, and administrative components. This study develops a data-driven digital learning ecosystem model designed to enhance quality management in vocational education. The framework integrates learning analytics, adaptive feedback processes, competency-based assessment, teacher digital capacity development, data governance, and continuous improvement mechanisms. Using document analysis, expert interviews, and international comparative review, the research identifies key requirements for effective ecosystem implementation, including unified data standards, interoperable platforms, and robust infrastructure. The findings highlight that well-structured data use and platform integration are central to achieving transparent monitoring and responsive decision-making. The model offers practical guidance for institutions and policymakers seeking to strengthen the quality and efficiency of vocational training through advanced digital tools.

Serverless Architectures for Real-Time Fleet and Edge Services: A Theoretical and Empirical Synthesis

2025-12-22T05:11:28+00:00

This article presents a comprehensive, publication-ready examination of serverless computing architectures applied to real-time fleet management, edge-enabled Internet of Things (IoT) systems, and distributed stateful applications. Building strictly on the references provided, the work synthesizes existing empirical findings, theoretical frameworks, design patterns, and open problems into a cohesive narrative that frames the current state of knowledge and proposes directions for future research. The abstract summarizes the research aim, methodology, primary findings, and conclusions. The aim is to clarify how serverless paradigms—function-as-a-service (FaaS), event-driven pipelines, and serverless-enabled edge computing—can be structured to meet the latency, statefulness, scalability, and sustainability requirements of modern fleet services and IoT applications. Methodologically, the paper performs an exhaustive conceptual analysis of the literature, extracts recurring architectural motifs, and constructs a descriptive model of how these motifs interact in practice. Results reveal that serverless approaches can deliver substantial operational simplicity and cost-efficiency while exposing specific challenges: state management, cold-start latency, and coordination across heterogeneous devices. The discussion interprets these findings in light of system-design trade-offs and explores emergent patterns such as serverless-enabled fleet-as-a-service (FaaS) and the role of ARM-based low-power processors in enabling edge serverless deployments. Limitations focus on the need for rigorous empirical benchmarking across diverse deployments, and future scope outlines experimental agendas, operational guidelines, and theoretical extensions to address identified gaps. This synthesis is relevant to researchers, platform architects, and practitioners designing the next generation of distributed, event-driven, and sustainable real-time systems.

Operationalizing Generative AI: A Comprehensive Framework for LLMOps Excellence

2025-12-22T05:11:28+00:00

The rapid emergence of large language models (LLMs) has ushered in a new era of generative artificial intelligence (AI), promising transformative applications across customer service, content generation, research automation, and beyond. With increased adoption, organizations face significant challenges in establishing operational capabilities to deploy, maintain, and scale LLM-driven services effectively. This paper synthesizes the extant literature on LLM Operations (LLMOps), integrating recent frameworks, maturity models, practices, and empirical analyses to propose a cohesive, theoretically grounded, and practically actionable operational framework. In particular, we examine definitions and boundaries of LLMOps vis-à-vis MLOps and FMOps, analyze maturity models for generative AI operations, discuss deployment strategies in cloud-based and distributed environments, and explore the organizational and economic implications of large-scale LLM adoption. Employing a rigorous literature review and conceptual synthesis methodology, we identify recurring themes, operational challenges, best practices, and gaps. Our findings reveal that successful LLMOps requires multi-dimensional readiness — encompassing infrastructure, continuous integration/ continuous deployment (CI/CD) pipelines, governance, cost optimization, prompt engineering, and human–AI collaboration. We articulate a multi-layered maturity framework — from ad hoc experimentation to enterprise-grade LLM ecosystem — and offer strategic recommendations for enterprises transitioning from proof-of-concept to production-grade LLM services. Limitations include scarcity of robust empirical performance data, evolving industry practices, and reliance on grey literature. We conclude by outlining future research directions to validate the framework with empirical studies, evaluate total cost of ownership in long-term deployments, and investigate ethical, governance, and human–centered aspects of LLMOps.

Reforms In The Development Of The Bar Institution In Uzbekistan

2025-11-23T16:27:40+00:00

The article discusses the changes, innovations, and benefits occurring in the field of advocacy. It highlights the inclusion of the advocacy institute in the Constitution and the elevation of the status of lawyers to a constitutional norm. The article also outlines legislative updates, changes affecting lawyers, and how these changes are applied in practice. In addition, it provides some information on the position of the Bar Association regarding these changes.

Architecting Resilience: A Design Thinking Approach to Managed Detection and Response (MDR) Service Frameworks for Small and Medium-Sized Enterprises

2025-12-22T05:11:28+00:00

Background: Small and Medium-sized Enterprises (SMBs) increasingly face sophisticated cyber threats previously reserved for large corporations. However, they often lack the financial resources and technical expertise to maintain 24/7 Security Operations Centers (SOCs). Managed Detection and Response (MDR) services offer a potential solution, yet traditional service models are often ill-adapted to the economic and operational realities of SMBs.

Objective: This study aims to design a scalable, profitable, and effective MDR service framework specifically tailored for the SMB market. The research seeks to bridge the gap between high-level enterprise security requirements and the resource constraints of smaller organizations using Design Thinking principles.

Method: Adopting a Design Science Research (DSR) approach, this paper synthesizes literature on cyber situational awareness, Routine Activity Theory, and Industry 4.0 maturity. We utilize a Design Thinking methodology to construct a modular MDR architecture that integrates AI-driven threat detection with human-centric analysis.

Results: The study presents a multi-layered MDR framework. The technological layer leverages hybrid cloud architectures and AI for cost-effective log analysis. The operational layer defines a shared-resource analyst model to reduce overhead. The economic layer proposes a tiered service design that aligns with SMB risk appetites and budgetary limits while ensuring provider profitability.

Conclusion: The proposed framework demonstrates that robust cybersecurity for SMBs is achievable through the intelligent integration of automation and shared-service models. By shifting from volume-based to value-based detection strategies, MDR providers can offer sustainable protection against modern threats.

The Structure And Semiology Of Parabls In French And Uzbek Fairy Tales

2025-11-23T16:27:39+00:00

This article analyzes the parables in French and Uzbek fairy tales from a semiological perspective. The study, based on the theory of signs of F. de Saussure and Ch. S. Peirce, considers the parable as a linguosemiotic unit. The parable is interpreted as a coded form of folk thought, an element of a sign system that transmits cultural memory and moral values. The article distinguishes the denotative (direct) and connotative (additional, emotional) layers of meaning of parable units, and analyzes their sign properties as icons, indices, and symbols. The syntactic structure, cultural connotations, and functional loading of Uzbek and French parable units in the fairy tale plot are also studied. The role of parable in fairy tales is illuminated in didactic, axiological, and aesthetic terms, and their place in folk pedagogical thinking is determined. The universal and national properties of parable signs in a multicultural context are comparatively analyzed, and their importance as a means of transcultural communication is substantiated. The results of the study indicate the need to study parable not only as a linguistic, but also as a cultural-semiotic phenomenon.

Integrated Methodologies for Intelligent Systems: A Multidisciplinary Review of Agile Processes, Algorithmic Optimization, and Domain-Specific Applications

2025-12-22T05:11:28+00:00

The contemporary technological landscape is defined by the convergence of robust software process management, advanced artificial intelligence (AI) algorithms, and specialized hardware applications. This paper presents a comprehensive systematic review and synthesis of recent developments across these interconnected domains. We begin by analyzing the evolution of software development methodologies, specifically the integration of Scrumban and Agile frameworks in global contexts, noting their critical role in managing complex engineering projects. The scope then widens to examine the implementation of intelligent algorithms in robotics and cloud computing, focusing on path-finding optimization, human-machine interfaces, and resource allocation strategies. Furthermore, the review investigates the practical deployment of machine learning in public sector applications, including healthcare diagnostics, environmental monitoring, and agricultural management. Finally, we address the material foundation of sensing technologies, exploring advancements in fiber optics and biomedical materials. By synthesizing evidence from diverse fields—ranging from cloud caching strategies to autonomous medical robotics—this article argues that the future of intelligent systems relies on a holistic approach that unifies process efficiency, algorithmic precision, and material innovation. The findings suggest that while individual domain advancements are significant, the cross-pollination of Agile management with AI-driven control systems offers the highest potential for operational excellence

Adaptive and Intelligent Urban Traffic Control: An Integrated Framework Combining Swarm Reinforcement Learning, Fuzzy Logic, and Sensor-driven Rerouting for Resilient Expressway Management

2025-12-22T05:11:28+00:00

This paper presents an integrated, theoretically grounded framework for adaptive urban traffic control that synthesizes swarm reinforcement learning, fuzzy logic control, wireless sensor network inputs, and dynamic vehicle rerouting to reduce incident frequency and congestion on urban expressways. The proposed approach is motivated by empirical findings that environmental and traffic conditions significantly influence incident occurrence on expressways (Zhanga, Chen & Tu, 2013), and by converging literature showing the promise of multi-agent reinforcement learning for coordinated signal control (Tahifa, Boumhidi & Yahyaouy, 2015), and fuzzy/neuro-fuzzy strategies for isolated intersection management (Salehi, Sepahvand & Yarahmadi, 2014; Collotta, lo Bello & Pau, 2015; Royani, Haddadnia & Alipoor, 2013). We develop an architectural blueprint that leverages wireless sensor networks to provide real-time traffic and environmental state, uses a cooperative multi-agent swarm reinforcement learning model to coordinate distributed controllers, embeds fuzzy inference layers to manage uncertainty and human-centric constraints, and applies pheromone-inspired and graph-based rerouting strategies to balance network load and minimize propagation of congestion (Jiang, Zhang & Yew-Soon, 2014; Bayraktar et al., 2023). Methodologically, we articulate the model components, state and action spaces, reward shaping, exploration-exploitation trade-offs, and a layered control strategy that allows for graceful degradation and interpretability. We then provide a descriptive analysis of expected outcomes, including reduced incident frequency, improved travel time reliability, and increased resilience to environmental fluctuations and sensor noise, drawing on cross-disciplinary evidence from machine learning, intelligent transport systems, and IoT-enabled urban infrastructure (Agrawal et al., 2023; Al-Ani et al., 2023; Gohar & Nencioni, 2021). We critically examine limitations, including ethical and privacy considerations in sensor networks and crowdsensing, the risk of non-stationarity in traffic dynamics, and computational scalability. Finally, we propose a staged roadmap for field validation, a set of measurable performance metrics, and open research directions that include transfer learning across cities, safety-aware reward formulation, and hybrid symbolic–learning controllers. This article contributes an exhaustive theoretical elaboration that integrates disparate strands of traffic control research into a cohesive, implementable design for modern smart cities.

The Role OF THE Hospitality AND Tourism Sector IN Peace-Building: A Case Study OF Butuan City, Philippines

2025-11-23T16:27:40+00:00

Background: The relationship between tourism and peace has gained increasing academic interest, yet a comprehensive understanding of how the hospitality sector at a local level contributes to peace-building remains a research gap. This study examines this dynamic in the context of Butuan City, Philippines, a region with a rich history and a growing tourism sector. The purpose is to investigate the mechanisms through which the hospitality industry can be a catalyst for peace, focusing on its transformative potential.

Purpose: This research aims to explore the intricate link between the tourism and hospitality sector and peace-building efforts in Butuan City. By synthesizing existing literature and secondary data, the study seeks to understand how specific initiatives within this sector are associated with social harmony and sustainable development, which are foundational for lasting peace.

Methodology: A qualitative case study approach was employed, relying on an extensive literature review and analysis of secondary data. The study draws on reports from local government entities and academic sources to construct a narrative on the interplay between tourism growth and peace in Butuan City. Thematic analysis was used to identify key patterns and themes.

Results: The findings indicate that the hospitality sector in Butuan City is associated with peace-building through economic empowerment, job creation, and fostering cross-cultural understanding. While the sector has faced challenges, its growth has a tangible link to improved social and economic indicators that underpin a peaceful society. The study highlights both the successes and the complexities of this relationship.

Conclusion: The hospitality sector has the potential to be a significant driver of peace-building, but this potential is contingent on strategic and inclusive practices. The findings underscore the importance of targeted policies and community engagement to harness tourism's transformative power for positive social change. This research provides a framework for understanding and leveraging tourism for peace in other similar contexts.

Bridge Deck Deterioration: Causes, Mechanisms, And Maintenance Strategies

2025-11-23T16:27:39+00:00

Bridge decks are among the most critical structural elements in bridge engineering, serving as the primary load-bearing surfaces that carry vehicular and environmental loads. However, they are also the most exposed components, subjected to weathering, traffic stress, de-icing chemicals, and mechanical wear. This paper examines the causes and mechanisms of bridge deck deterioration in both concrete and steel/composite bridge structures. The study analyses physical, chemical, and mechanical factors contributing to degradation, including corrosion of reinforcement, freeze–thaw cycles, fatigue cracking, and poor waterproofing. The paper also discusses modern diagnostic methods, maintenance technologies, and sustainable repair solutions that extend bridge service life. Findings highlight the importance of proactive inspection and the adoption of advanced materials to ensure long-term structural integrity and public safety.

Systematic Review of the Experiences and Mental Health Outcomes of Ethnic Minority (BAME) Academics in Non-Traditional Higher Education

2025-11-23T16:27:39+00:00

Background
The marginalisation of Black, Asian, and Minority Ethnic (BAME) academics within UK higher education (HE) has been well documented, with extensive research revealing structural racism, exclusionary institutional cultures, and restricted opportunities for career progression. However, little is known about how these experiences manifest within non-traditional or alternative higher education institutions (HEIs)—an increasingly significant component of the UK’s widening participation landscape. This systematic review critically examines and synthesises existing literature on the experiences, challenges, and mental health outcomes of BAME academics in UK higher education. It also identifies gaps in empirical knowledge, particularly concerning non-traditional HEIs.

Methods
Following the PRISMA 2020 guidelines, systematic searches were conducted in six bibliographic databases—Web of Science, PubMed, Scopus, EBSCOhost, PsycINFO, and CINAHL—to identify studies published between 2010 and 2025. To ensure comprehensive coverage, additional searches were performed on publisher platforms such as ScienceDirect and Google Scholar for potentially relevant studies not indexed elsewhere. Inclusion criteria focused on peer-reviewed research exploring the experiences, challenges, or mental health of BAME academics in the UK. Sixteen studies met the inclusion criteria and were appraised using the Critical Appraisal Skills Programme (CASP) checklist to assess methodological quality and rigour.

Results
Six primary themes were identified, with the following percentage occurrence across the studies: structural racism and systemic inequality (75%), employment practices and career progression (75%), racial microaggressions (37.5%), mental health and emotional labour (31.3%), coping strategies (18.8%), and job satisfaction (18.8%). Collectively, the evidence highlights entrenched institutional racism, precarious employment conditions, limited career advancement, and considerable psychological strain among BAME academics—often compounded by a lack of mentorship and leadership opportunities. While some studies documented resilience and collective coping strategies, the absence of institutional accountability continues to sustain racial inequities across the sector. Notably, no studies were identified that specifically addressed BAME academics within non-traditional or alternative HEIs, underscoring a critical gap in current scholarship.

Conclusion
This review demonstrates a persistent lack of empirical insight into the experiences of BAME academics outside traditional universities. Future research should adopt a comparative approach to examine whether non-traditional HEIs foster more inclusive environments or replicate existing hierarchies of exclusion. Addressing these gaps is essential to promoting equitable career pathways, supporting mental wellbeing, and realising the UK higher education sector’s commitment to genuine diversity and inclusion.