Volume 13 | Issue 6 |

 Abstract

The integration of Artificial Intelligence (AI) in education has emerged as a transformative approach to enhance assessment accuracy, efficiency, and student learning outcomes. This study investigates the impact of AI on educational assessments in Karnataka, addressing the growing need to understand its effectiveness, adoption, and associated challenges within local academic institutions. The research aims to examine students' and educators' perceptions of AI-driven assessment tools, identify regional and demographic variations in acceptance, and explore ethical considerations influencing implementation. A descriptive research design was adopted, with primary data collected through a structured questionnaire administered to 150 respondents from Mysore, Bangalore, and Hassan. Data were analyzed using descriptive statistics, ANOVA, and regression analysis to identify trends, differences, and relationships between demographic factors and AI perceptions. The findings indicate that AI significantly improves assessment accuracy, reduces evaluation time, and positively influences learning outcomes, while ethical concerns and regional disparities affect adoption levels. Income and city of residence were found to significantly shape respondents' perceptions, and the null hypothesis of no significant impact of AI was rejected. The study highlights the relevance of AI in contemporary education and provides insights for institutions to implement ethical, context-sensitive, and effective AI-based assessment practices.

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 Keywords

Artificial Intelligence, Educational Assessment, Karnataka, Learning Outcomes, Ethical Challenges

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Creative Commons Attribution 4.0 and The Open Definition

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Evaluation of Pandit Deendayal Upadhyay's "Philosophical Thoughts - Fourth Purushartha"

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Evaluation of Pandit Deendayal Upadhyay's "Philosophical Thoughts - Fourth Purushartha"

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Creative Commons Attribution 4.0 and The Open Definition

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The purpose of the paper is to delve into the transformative role of artificial intelligence in accounting and finance. The integration of AI in accounting has altered the generation, recording and processing of data into efficient accurate way in a much shorter time frame. The paper reviews the existing literature in order to assess the implications of AI on finance sector. It further analyses the skillset required by finance professionals to work in conjunction with AI. Findings have highlighted the challenges and opportunities presented by advancements and developments in the technology. Various AI tools have been found to play pivotal role in shaping the contours of accounting and finance sector. Further research avenues have also been proposed in the current review.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial intelligence, accounting and finance, automation, literature review.

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Creative Commons Attribution 4.0 and The Open Definition

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Socio-cultural is a term used to define social and cultural factors which signify common traditions, beliefs and habits in a population group. Socio-cultural practices involve various forms, such as worship rites, birth, wedding and funeral rituals, traditional legal systems, etc. Additionally, there is an existence of cultural practices regarding menstruation in Indian society. Menstruation is always associated with myths and taboos, like avoiding entering the temple, not attending religious gatherings, not touching males and plants, and the like. These cultural practices hamper women's mental as well as emotional states. These socio- cultural norms regarding menstruation are more myths and less of facts, and the practices are traditionally growing with society. Women are deprived of various opportunities during menstruation and are not treated equally in society as men. That is why menstruation is unwelcome by a majority of women. Media is the most powerful entity in the world, and it can reach a broader audience through its various types such as Print Media like newspapers and magazines, Electronic Media like Television and radio, and New Media like the internet and social media. Therefore, there is no better alternative than the media to raise awareness regarding menstrual hygiene and break the myths and taboos about menstruation as much as possible. "World Menstrual Hygiene Day" is celebrated every year on 28th May worldwide to raise awareness regarding menstruation and provides safe hygiene practices to wipe out the social stigma and burst the bubble of myths and taboos in society. This paper intends to identify the extent of the roles played by different types of media to create awareness regarding menstruation and female hygiene practices during the menstruation cycle.

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 Keywords

Menstruation, menstruation myths, an overview of various media regarding menstruation.

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Creative Commons Attribution 4.0 and The Open Definition

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The hospitality industry's ongoing digital transformation is driving the rapid adoption of complex, multi-vendor technology ecosystems. This increasing reliance on diverse third-party systems introduces significant security, integration, and compliance challenges. Traditional DevOps practices often fall short in managing the security risks associated with these heterogeneous environments. This review proposes and evaluates a tailored DevSecOps framework specifically designed for multi-vendor hospitality technology ecosystems. Drawing on over a decade of research, case studies, and recent innovations, the paper outlines a theoretical model, experimental validation, and comparative performance metrics. Key improvements observed include faster vulnerability detection, reduced compliance violations, and enhanced operational resilience. The review concludes by identifying future research directions that focus on AI-driven security automation, policy standardization across vendors, and industry-wide collaboration. These contributions aim to guide researchers and practitioners in securing digital hospitality infrastructures through adaptive and scalable DevSecOps practices.

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 Keywords

DevSecOps; Multi-Vendor Ecosystems; Hospitality Technology; Cybersecurity; Security Automation; CI/CD; Compliance; Threat Intelligence; Digital Transformation; Software Security.

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Creative Commons Attribution 4.0 and The Open Definition

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As clinical trials continue to expand in complexity, scale, and digital transformation, the role of data management Standard Operating Procedures (SOPs) has become more crucial than ever. SOPs serve as the backbone of trial conduct, ensuring consistent data processes, regulatory compliance, and high-quality outputs across diverse trial settings. This review presents a comprehensive synthesis of literature related to SOP development, highlights frameworks and experimental findings, and proposes a theoretical model for SOP standardization. Key performance data indicates that harmonized SOPs significantly enhance data integrity, protocol adherence, and audit readiness. Additionally, we explore how technological advancements--especially artificial intelligence and decentralized trials--are reshaping SOP paradigms. By critically evaluating current practices and emerging trends, this article provides practical and strategic insights into the future of SOPs in clinical trial data management.

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 Keywords

Clinical Trials; Data Management; Standard Operating Procedures; Regulatory Compliance; SOP Standardization; Clinical Trial Efficiency; Quality Management; Decentralized Trials; Artificial Intelligence in Trials

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Creative Commons Attribution 4.0 and The Open Definition

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The rapid adoption of cloud computing has transformed enterprise IT, but it has also introduced complex security challenges that traditional perimeter-based models cannot adequately address. Zero Trust Security Models (ZTSM) have emerged as a robust framework to mitigate these risks by enforcing the principle of "never trust, always verify." This review examines the foundational principles, architectural components, and practical implementations of Zero Trust in cloud environments. It explores how identity-centric access controls, microsegmentation, and continuous monitoring fortify cloud applications against modern threats. Additionally, the paper analyzes the role of major cloud providers in enabling Zero Trust and reviews real-world case studies from regulated sectors such as finance and healthcare. Emerging trends such as AI-driven trust assessments and decentralized identities are also discussed. The paper concludes by highlighting the challenges and future research directions critical for advancing Zero Trust adoption in scalable, multi-cloud ecosystems..

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Zero Trust Architecture (ZTA), Cloud Security, Identity and Access Management (IAM), Microsegmentation, Continuous Monitoring, Multi-Cloud Security

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Creative Commons Attribution 4.0 and The Open Definition

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The rapid digitization of financial services has transformed retail banking into a predominantly mobile and data-centric experience. As consumer expectations evolve and competition from FinTech intensifies, retail banks are under mounting pressure to enhance customer experience while simultaneously improving operational efficiency. This review proposes a novel framework--the Intelligent Retail Banking Ecosystem (IRBE)--that unites front-end personalization with back-end process automation. Drawing upon insights from more than thirty academic and industry sources, this paper critically evaluates existing models such as UTAUT, SERVQUAL, and task-technology fit, highlighting their limitations in addressing the dual priorities of user engagement and institutional optimization. The IRBE framework leverages real-time behavioral analytics, AI-powered automation, and open API infrastructure to create adaptive, personalized, and efficient digital banking ecosystems. Through comparative analysis and practical case studies (e.g., ING, DBS, JPMorgan Chase), this review demonstrates the IRBE model's superior predictive performance in areas like user retention, transactional accuracy, and cross-sell optimization. The study also discusses implications for industry practitioners and policymakers, advocating for supportive regulation, ethical AI use, and inclusive digital access. Ultimately, this research provides a forward-looking theoretical foundation for future academic inquiries and practical innovations in digital banking, positioning IRBE as a transformative tool for intelligent financial service delivery.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Retail banking applications; customer experience; operational efficiency; financial technology (FinTech); digital transformation; behavioral analytics; artificial intelligence (AI); service-dominant logic; intelligent ecosystems; open banking; IRBE model; personalization; automation.

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Creative Commons Attribution 4.0 and The Open Definition

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This review provides a comprehensive synthesis of automation strategies used in managing product data and generating sales quotations, with a focus on developments over the past decade. The study explores the integration of technologies such as artificial intelligence (AI), machine learning (ML), robotic process automation (RPA), and natural language processing (NLP) into Configure-Price-Quote (CPQ) systems. A theoretical model is proposed and validated through experimental data from recent case studies, highlighting significant improvements in quotation cycle time, accuracy, and customer satisfaction. The review also identifies current research gaps and outlines future directions in areas such as contextual AI, federated learning, explainability, and IoT integration. Overall, this paper underscores the transformative potential of intelligent automation in redefining how businesses handle product data and quotation workflows in real time.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Automation, Sales Quotation, Product Data Management, CPQ, Artificial Intelligence, Machine Learning, NLP, Robotic Process Automation, Digital Transformation, Enterprise Systems

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Creative Commons Attribution 4.0 and The Open Definition

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Mathematics and philosophy have a complex relationship, with both seeking to examine and resolve the essence of reality through logic, reasoning, and abstract thought. Mathematics offers a universal language for modelling the physical world, quantifying infinities, and exploring theoretical possibilities, whereas philosophy investigates the underlying assumptions, implications, and interpretations of these mathematical structures. Philosophy provides the conceptual frameworks for abstract reasoning. Together, these disciplines have moulded major areas like as metaphysics, epistemology, logic and ethics, and have had a significant impact on the evolution of human thought and understanding of the world. This paper investigates the linked roles of mathematics and philosophy, tracing their historical roots, assessing their contributions to diverse philosophical fields and highlighting their continuing impact in the contemporary era.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Mathematics, Philosophy, Logic, Infinity, Reality, Epistemology, Ontology, Godel, Paradoxes, Axioms, Non-Euclidean Geometry, Set Theory, Cosmology, Artificial Intelligence, Abstract Thought

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Creative Commons Attribution 4.0 and The Open Definition