Volume 14 | Issue 2 |

 Abstract

In the modern digital era, operating systems serve as the backbone of all computing devices, enabling users to interact with hardware and software resources efficiently. Despite continuous advancements in computing technology, most conventional operating systems still rely heavily on manual user interaction. Users are required to perform repetitive tasks such as opening applications, managing files, configuring system settings, and searching for information through traditional input methods like keyboard and mouse. These repetitive actions consume time, increase cognitive load, and reduce overall productivity, especially for non-technical users. With the rapid growth of artificial intelligence, intelligent personal assistants have emerged as an effective solution to simplify human-computer interaction. This paper presents Nexus, an intelligent personal OS assistant designed to enhance user experience by integrating artificial intelligence directly within the operating system environment. Nexus enables users to interact with the system using voice or text-based commands, allowing tasks to be executed quickly and efficiently without complex manual operations. The proposed system uses AI-based command processing techniques to understand user intent and perform appropriate system-level actions. Nexus acts as a smart intermediary between the user and the operating system, translating natural language commands into executable operations. The system focuses on simplicity, usability, and accessibility, making it suitable for both technical and non-technical users. By automating common tasks, Nexus reduces manual effort, minimizes errors, and improves overall system efficiency. This paper discusses the design and working of the Nexus system, including its architecture, command processing mechanism, and core functional modules. The system architecture highlights the interaction between the user interface, command processing module, AI engine, system control module, and output module. Each component plays a crucial role in ensuring accurate command interpretation and smooth task execution. The paper also explores the key features, advantages, and practical applications of Nexus in personal computing, educational environments, and office automation. In addition, the paper outlines the future scope of Nexus, emphasizing enhancements such as machine learning-based personalization, emotion recognition, multilingual support, cloud integration, and Internet of Things (IoT) connectivity. These advancements can transform Nexus into a more adaptive, context-aware, and intelligent assistant capable of operating across multiple platforms and environments.

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 Keywords

Intelligent Personal Assistant, Artificial Intelligence, Operating System, Automation, Virtual Assistant, Human Computer Interaction

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The modern personal digital ecosystem remains under a strain of the exponentially growing multimedia content base, which leads to the unorganized media library, inefficient retrieval processes, and growing concerns about the privacy of the data and the power of the user. Classical image management systems are largely based on cloud systems in which personal media are sent to distant servers to be processed and stored, which has brought with it risks of data breach, reliance on the internet, latency, and loss of data sovereignty. The SmartMedia framework offers an Edge-AI-driven privacy-safe framework of intelligent offline media organization by fulfilling the entire media analysis pipeline on the machine of the user. The system combines a quantized Vision-Language Model that is optimized to run on the device to do automated caption, object detection, scene understanding, facial analysis and semantic tagging without depending on external APIs. The structured metadata and AI-generated descriptors are stored safely in a local SQLite database, whereas high-dimensional embeddings are indexed with FAISS to be able to provide the rapid and precise search of semantic similarity. An Electron-Python hybrid architecture will make sure there is efficient isolation between the presentation layer and computational backend which will guarantee quick user interactions as well as the management of resources. The framework will ensure that data privacy is fully achieved, the latency is minimized, and the offline functionality is not interrupted by eliminating cloud dependency and implementing secure local storage with controlled access mechanisms. The empirical testing of the prototype developed indicates that the semantic retrieval is performing high with low-computational costs on consumer-grade equipment, which confirms that it is possible to deploy advanced multimodal AI models at the edge. The suggested system defines a scalable, secure and privacy-conscious system of smart media organization in the contemporary digital contexts.

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 Keywords

Edge AI, Offline Media Organization, Vision-Language Models, Semantic Image Retrieval, On-Device Inference, Data Privacy

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The convergence of cybersecurity and financial auditing represents a critical frontier in organizational risk management. As digitalization expands, vulnerabilities in cyber systems increasingly affect financial integrity, governance, and compliance. This review synthesizes multidisciplinary perspectives to propose a unified framework that integrates cybersecurity assurance and financial audits within enterprise risk management (ERM) principles. Through systematic review and empirical insights, the study identifies significant relationships between cybersecurity audit maturity, unified assurance adoption, and financial-audit quality. Experimental analysis across 46 organizations reveals that integrated assurance practices improve risk-mitigation efficiency by 22 % on average. The proposed Unified Cyber-Financial Audit Assurance Model emphasizes governance alignment, control assessment convergence, and continuous improvement feedback loops. Future research should explore automation, AI-driven audit analytics, and cross-sector adoption to enhance the predictive and preventative potential of integrated assurance systems.

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 Keywords

Cybersecurity Audit, Financial Audit, Unified Assurance, Governance, Enterprise Risk Management (ERM), Assurance Analytics.

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This study examines the postcolonial identity and cultural hybridity within the subsequent writings by Salman Rushdie's Midnight Children and The Satanic Verses. In this manner, this article investigates how Rushdie challenges the traditional view that identity and culture are static. Some consistent categories that are shaped by history and the universe. To examine how Rushdie's characters struggle with the complexity of their identities in the postcolonial context, the article utilizes postcolonial theory. The research concentrates on the formation of identity in Rushdie's works and the ways his characters persist and influenced by colonial and worldwide factors. Likewise, it assesses Rushdie's approach to hybridity alongside other postcolonial authors to demonstrate his contribution to the domain via the implementation of magical realism and storytelling methods. The current study contributes to the current field of postcolonial studies by offering new viewpoints on the portrayal of culture, history and identity in Rushdie's novels. They stress the significance of hybridity as a notion for the examination of postcolonial identity within the framework of contemporary global issues. The piece concludes with an identification of paths for additional investigation, with the author urging for additional investigation into the ethical and political dimensions of Rushdie's portrayal of hybridity and its significance in today's globalized society.

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 Keywords

Postcolonialism, cultural hybridity, global issues, Salman Rushdie

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Abstract: Urban Morphology is the study of the human settlements and the process of their formation and transformation. The study mainly emphasized on the discussion of the spatial structure and characteristics of the metropolitan area, city or town by examine the patterns of its component part and the process of its development. Here also involve the analysis of physical structure at different scales as well as the patterns of movement, land use, ownership and occupation. Special attention is given to how the physical form of city changes through time. Land is very important physical component in the urban morphology. Land is the basic natural resources which provides space and many raw materials for various development and other activities. But in the present context this component is use in a frequently manner due to increasing population. To satisfy the objectives of this study, mainly descriptive statistics have been incorporated. Decadal growth rate, population density, sex ratio, work participation rate, literacy rate, satisfaction index and some others techniques have been used. Other hand, different types of relevant cartographic techniques and presentation have been applied. Kanchrapara is a small municipal town, its distance 48 km. from Kolkata. Kanchrapara Municipality belongs to the Kolkata Metropolitan District Area (KMDA). It's situated in the Bizpur Police Station within the Barrackpore-I subdivision, under the North 24-Parganas in West Bengal

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Keywords: Municipality, Sustainable, Development and Demography.

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Education plays vital role in the development of the children. In these modern trends we all required to use the technology in the school and classrooms. National education policy emphasis on the use of technology and made various changes in the education, evaluation and structure and also more focusing on the skills development of the typically developed and special need children. Technology and digitalization in education have been introduced and many school colleges are using the technology for providing accessibility in the education and academic achievement. Teacher is a crucial part of education management and in the school. Proper awareness and training are required to implement the technology in the education. Trained teacher and heads of the schools can make difference in the holistic development of the child. Government run the NISHTHA programme for the teachers and heads of the schools for achieving the foundation literacy and numeracy skills. The present study examines the classroom level implementation of the National Initiative for School Heads' and Teachers' Holistic Advancement (NISHTHA) with more emphasis on the Foundational Literacy and Numeracy (FLN). A survey method used to study the implementation of NISHTHA in classroom practice. A researcher made tool based on a five-point rating scale was developed by the researcher for data collection which consisted of four areas with five statements in each area and total statements were twenty. The areas assessed were: (A) Foundational Pedagogy and Classroom Environment, (B) Foundational Literacy and Numeracy Implementation, (C) Assessment and Remedial Teaching, and (D) Holistic Development and Inclusivity. Trained teachers were the sample of the data collection process and analysed by using descriptive statistics such as mean and standard deviation. Cronbach's alpha was used to check reliability of the tool. The findings conclude that teacher effectively implementing supportive classroom environments and promoting holistic and inclusive practices. It suggests the need for continuous professional support, training, short term training programme for the upgradation knowledge of the teacher also monitoring, and follow-up training to strengthen the classroom impact of NISHTHA foundational literacy and numeracy skill initiatives. The results offer valuable insights for policymakers and educators to enhance the effectiveness of FLN programs in schools.

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 Keywords

NISHTHA, Foundational Literacy and Numeracy, Teacher Training, School

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Objective: The present study aimed to examine the biopsychological influence of menstrual cycle phases on mood state and performance consistency among elite female precision shooters. Specifically, the study investigated whether phase-wise variations in mood are associated with changes in shooting performance across different shooting disciplines. Method: A repeated-measures correlational research design was employed involving 61 national-level female shooters representing rifle, pistol, and shotgun events at the Madhya Pradesh Shooting Academy, Bhopal. Mood state was assessed using the Profile of Mood States (POMS), while shooting performance scores were recorded during the follicular and luteal phases of the menstrual cycle. Performance evaluation followed the International Shooting Sport Federation (ISSF) competition standards, and scores were normalized according to official event scoring systems (10 m Air Rifle = 654.0 decimal scoring scale, 10 m Air Pistol = 600 points, Skeet Shooting = 125 targets). Statistical analysis included descriptive statistics, paired sample t-tests, and Pearson product-moment correlation to examine phase-wise differences and relationships between mood and performance variables. Conclusion: The findings revealed significant phase-wise variations in mood state and normalized shooting performance; however, mood fluctuations did not significantly predict performance consistency among athletes. These results suggest that menstrual cycle phases may influence psychological and performance outcomes independently, indicating the presence of adaptive mechanisms that help stabilize performance in elite female precision shooters.

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 Keywords

Keywords: menstrual cycle, mood state, precision shooting, female athletes, biopsychology, performance consistency.

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Depression is a common and important health problem affecting the lives of many children and young adults. Depression is the leading cause of health-related disability. A proportion of depression cases begin in childhood and increase dramatically during adolescence. This systematic review aimed to estimate the global prevalence of depression or depressive symptoms in children and adolescents. Depression manifests with increasing frequency as early adult life approaches and represents an escalating set of impairments across personal, family, social and educational life of children and young people. This article explain that childhood depression is a serious mood disorder causing prolonged sadness, irritability, or hopelessness that impacts a child's relationships and activities, and it is treatable with talk therapy and medication. Risk factors include genetics, adverse life events, family stress, and co-occurring conditions like anxiety.

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Lingers, sadness, child depression , mental disorder ,persistent depressive sadness.

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The present study was conducted to assess the effectiveness of a structured teaching program regarding type-2 diabetes mellitus among nursing students in selected nursing colleges in Bareilly, Uttar Pradesh. In the present study, an evaluative approach was selected. One group pre and post-test design was adopted. The Structured Knowledge Questionnaire was developed to collect the data. The sample size of 60 among nursing students, selected by a simple random sampling technique and the data collected were analysed and interpreted based on descriptive and inferential statistics. As a result, the overall knowledge score of students revealed that a majority of student nurses, 83.3%, had moderate knowledge, 13.33% had inadequate knowledge, and only 3.33% students had adequate knowledge. The pre-test analysis revealed that most of them had some knowledge about type 2 diabetes mellitus. During post-test analysis, it was found that most of them scored in the category of adequate knowledge and post test score mean was 21.96, and the mean difference of pre-test and post-test was 7.38. post-test assessment significant difference (p<0.05) was found between pre-test and post-test score was demonstrated by using 't' test; it was found that the structured teaching program was effective. Keywords- structured teaching program, structured teaching program, nursing students, Structured Knowledge Questionnaire.

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"A Study to Assess the Effectiveness of Structured Teaching Program Regarding Type-2 Diabetes Mellitus Among Nursing Students in Selected Nursing Colleges Bareilly, (U.P)"

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ABSTRACT In some regions of India, three out of four households include a migrant. The effects of migration on individuals, households and regions add up to a significant impact on the national economy and society. Despite the numbers, not much is written on migration within or from India and its considerable costs and returns remain outside of the public policy realm. This paper reviews key issues relating to wage and work migration in India. It analyses the patterns, trends and nature of labour migration, reviews existing government and non-governmental policies and programmes, and briefly examines key policy issues and options. Since the spatial distribution of jobs is an important determinant of the decision of migrate we compute the location quotient to identify whether a district has a higher concentration of workers in agriculture, manufacturing, construction and services sector. After controlling for household and individual characteristics, we find that an individual is more likely to be a short term migrant if the individual is from a district with a higher concentration of workers in the construction industry. Using instrumental variable model, we find that short term migrants earn low wages compared to non-short term migrant. Following this we model the transition of short term migrant workers across industries drawing on the literature on transition measures developed to measure income and occupational mobility

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 Keywords

Health, Migration, Causes and Impact

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Creative Commons Attribution 4.0 and The Open Definition