Volume 13 | Issue 1 |

 Abstract

The rapid advancements in quantum computing and the escalating sophistication of cyber threats necessitate the evolution of cryptographic techniques. This research introduces novel mathematical models and innovative security protocols tailored for post-quantum environments. Key contributions include the development of lattice-based cryptographic algorithms and the integration of homomorphic encryption for secure data processing without compromising privacy. Additionally, zero-knowledge proofs (ZKPs) have been leveraged to enhance block chain systems, ensuring transaction security while preserving confidentiality. The proposed cryptographic frameworks demonstrate resilience against quantum attacks, addressing vulnerabilities inherent in traditional algorithms like RSA and ECC. Practical applications in block chain, Internet of Things (IoT) networks, and cloud computing are explored through detailed case studies. These case studies highlight significant improvements in transaction verification speed, energy efficiency for low-power IoT devices, and resistance to quantum-based attacks. The findings emphasize the theoretical and applied contributions of this work to modern cryptography, bridging the gap between abstract models and real-world implementations. Future directions include the exploration of AI-augmented cryptographic systems and the extension of these techniques to domains such as secure voting and healthcare data protection. This research underscores the pivotal role of advanced cryptographic techniques in fortifying cybersecurity and ensuring the secure exchange of information in an increasingly interconnected digital world.

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 Keywords

Post-quantum cryptography, homomorphic encryption, zero-knowledge proofs, block chain security, IoT networks, quantum-resistant protocols, advanced cryptographic techniques, cybersecurity, lattice-based algorithms, secure data processing.

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 Abstract

Dinesh Paliwal Ki Kahaniyo Me Nari Ki Sthithi Ev Parivarthit Bhumikaye

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Dinesh Paliwal Ki Kahaniyo Me Nari Ki Sthithi Ev Parivarthit Bhumikaye

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Occupational Stress is a chronic disease caused by conditions at the workplace that negatively affect an individual's performance and overall well-being of body and mind. Many studies related to the Occupational Stress of nurses have shown that Occupational Stress decreases the quality of nursing care and increases the hospital stay of patients. Various research studies have also demonstrated prolonged stress on nurses causes not only physical disorders of the musculoskeletal system but also increases their vulnerability to mental illnesses such as depressive and anxiety disorders. The objective of study: to identify the Occupational Stress of nurses in selected hospitals of an urban area. To assess the effectiveness of Pranayama on Occupational Stress of nurses in selected hospitals of an urban area. To find out the difference between Occupational Stress experimental and control group, and to describe the association between Occupational Stress and selected background variables. Material and method: one group pretest and posttest with a control group experimental research design was applied. Ten samples were selected by simple random sampling method and data was assessed by the standardized tools as expanded nurses stress scale and tool to assess and classify work related stress. Result: the data analysis was done by descriptive and inferential statistics. In Pranayama t value was 7.2 with 4 degree of freedom. The corresponding p value was small and null hypothesis were rejected. Average Occupational Stress score reduced after practicing Pranayama

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 Keywords

ENSS; TAWS; Occupational Stress; Nurses; Pranayama

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Abstract:- Background: Visuospatial skills, the ability to perceive, process, and manipulate spatial information, are essential in various clinical settings, particularly in physiotherapy. These cognitive abilities play a crucial role in movement analysis, rehabilitation planning, and patient education. Despite their significance, there is limited research on how visuospatial skills are developed, assessed, and utilized within the field of physiotherapy. Aim: This scoping review aims to explore the role of visuospatial skills in physiotherapists, identify the gaps in skill development, and examine methods of assessment and strategies for improvement. The review seeks to evaluate the existing literature on visuospatial competencies and their impact on physiotherapy practice, with a focus on educational and clinical implications. Material and Methods: A comprehensive search of relevant databases was conducted to identify studies that examined the role of visuospatial skills in physiotherapy. The inclusion criteria focused on studies that addressed the application, assessment, and training of visuospatial skills among physiotherapists. A thematic analysis was performed to synthesize the findings and identify key trends in the literature. Results: The review found that while expert physiotherapists demonstrate superior visuospatial skills compared to novices, systematic training in this area is underexplored. Studies highlighted the significant role of visuospatial competencies in movement analysis, treatment design, and patient communication. However, gaps in physiotherapy curricula, limited exposure to practical training, and the lack of structured assessments were identified as barriers to skill development. Furthermore, the integration of technological tools, such as virtual reality (VR) and augmented reality (AR), was shown to enhance visuospatial training. Discussion: The findings underscore the importance of visuospatial skills in physiotherapy, emphasizing the need for curriculum reform and the incorporation of advanced training tools. Innovations like VR and AR offer promising avenues for improving spatial reasoning and clinical decision-making. However, challenges related to resource access, curriculum integration, and standardized assessment remain. Bridging these gaps requires a collaborative effort between academic institutions, healthcare organizations, and policymakers.

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 Keywords

Visuospatial skills, Physiotherapy, Clinical decision-making, Movement analysis, Education, Technology, Virtual reality, Augmented reality, Skill development, Curriculum reform.

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The culture and the historical site reflect the country's past and its deep history. It is a piece of country's memory collected in present. However, the globalisation and human civilisation affect the historical sites which reflects our past. Today's globalisation is the challenge to prevention of cultural heritage. In developing countries, maximum people are interested in preservation and promotion of historical sites and its culture as well as source of revenue from tourist both national and international. The preservation of culture and historical site/heritage share its deep meaning to humankind. The study analysed the preservation of art and culture and historical sites of the state. For the preservation, it is the time to transfer knowledge and technology through education to the state. The tourism is the way to explore our culture and past history to the people of India and other foreign nation. The study analysed most important cultural site of Manipur and its challenges to promote our culture through tourism in the state.

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Culture, historical site, preservation, globalisation, tourist, knowledge and technology

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Creative Commons Attribution 4.0 and The Open Definition

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The healthcare sector in rural India faces a severe crisis characterized by an 80% shortfall in specialist doctors, inadequate chronic disease management, and irregular patient records. To address these persistent challenges, we propose LUMIN, an AI driven digital healthcare platform tailored for rural and semi-urban populations. The platform integrates cutting-edge technologies, including wearable devices, health-tracking APIs, and predictive analytics, to enhance healthcare accessibility, efficiency, and outcomes. Key features of LUMIN include real-time health monitoring, chronic illness supervision, and predictive analytics for early health risk identification. Gender-specific health needs are addressed through tools like a menstrual cycle tracker, while telemedicine ensures timely emergency consultations. The platform's AI-powered chatbot provides health guidance and reminders, reducing dependence on immediate human intervention. A subscription-based model with tiered pricing ensures affordability and scalability, catering to economically diverse users. Technologically, the platform is built using React.js for a responsive frontend, Node.js for a robust backend, and MongoDB for efficient data management. Advanced AI algorithms implemented via TensorFlow and PyTorch enable personalized healthcare insights. The integration of cloud-based solutions ensures scalability and data security while adhering to healthcare compliance standards. This project emphasizes proactive healthcare practices, shifting the focus from reactive treatments to preventive care. By empowering both users and healthcare providers, LUMIN addresses systemic healthcare disparities and aims to transform rural healthcare delivery. The scalable, inclusive design positions the platform as a sustainable solution for bridging healthcare gaps in underserved regions, paving the way for equitable health services and improved quality of life.

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 Keywords

Digital Healthcare, Rural India, Telemedicine, Real-time Health Monitoring, Healthcare Accessibility

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Creative Commons Attribution 4.0 and The Open Definition

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In Kancheepuram District, Tamil Nadu, this study examines the critical role that Self-Help Groups (SHGs) play in promoting women's empowerment through microfinance in both rural and urban regions. Women make up the majority of SHGs, which are grassroots financial intermediaries that provide access to credit, savings, and financial literacy. This study examines the effects of SHG membership on women's socioeconomic circumstances, decision-making skills, and general empowerment. Data were gathered from a sample of 200 women participants from different SHGs in Kancheepuram District using a mixed-methods technique. Structured surveys were used to collect quantitative data, and focus groups and in-depth interviews were used to get qualitative insights. The results show that SHGs play a major role in enhancing women's economic standing by giving them the capital they need to launch and grow small enterprises. SHGs also improve women's self-esteem, ability to make decisions, and involvement in community events.The study highlights the differences in impact between rural and urban settings, noting that while both areas benefit from SHG involvement, the nature and extent of empowerment vary. In rural areas, SHGs primarily address economic and educational barriers, whereas in urban areas, they also tackle issues related to social mobility and entrepreneurship. In conclusion, SHGs serve as effective instruments for women's empowerment, bridging the gap between financial inclusion and social development. The research underscores the need for policy support and capacity-building initiatives to further strengthen the impact of SHGs in both rural and urban contexts of Kancheepuram District.

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Self-Help Groups, Women Empowerment, Microfinance, Rural Development, Urban Development, Kancheepuram District Tamil Nadu.

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Film has changed history repeatedly. The best films encourage us to think about how we can improve our lives and society. Movies have always been an effective way to reflect the world around us. A meaning cannot be communicated without language, if one cannot express it in a language that other people can understand. The existence of new views that produce new meanings, is also the result of the growth of the construction of human thought, through the representation of meaning produced and constructed. Semiotic analysis is one such method to analyze the movies. semiotic theories take signs or sign systems as their object of study; applied semiotics analyzes cultures and cultural artifacts according to the ways they construct meaning through their being signs. This research uses qualitative methodology to semiotically analyze the movie Great Indian Kitchen using Roland Barthe's code. Using signifiers, signified, connotative sign, denotative sign, pragmatics, syntax this study analyzes the representation of men and women in the movie. The study clearly points out the differences in the way a typical pious family treats a man and woman in the family. The way the protagonist gets treated in the movie is semiotically represented at various point of time. These semiotic details when related with the dialogs in the movie delivers a subtle meaning but a strong message to the audience. The study has analyzed the intricate details represented between shots and has given evidence on the semiotic details detailed in the movie The Great Indian Kitchen.

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Creative Commons Attribution 4.0 and The Open Definition

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Lung cancer detection from medicinal imaging often faces challenges due to noise in CT and PET/CT scans. This paper suggests a noise removal system employing three filtering approaches: Gaussian, Bilateral Filter, and Adaptive Gaussian-Bilateral Filter (AGBF). Each technique is assessed based on performance metrics including NRMSE, UIQI, andFSIM to determine their efficiency in noise reduction while preserving critical image particulars. The Lung-PET-CT-Dx dataset was used to test the suggested filters, and the outcomes show that AGBF consistently outperformed the other filters in all forms. AGBFproduced the lowest NRMSE, highest UIQI, and FSIM, demonstrating its superior capability to decrease noise and preserve structural integrity in lung images. This system provides significant advancements for lung cancer diagnosis by refining the quality of medical images, making it easier for healthcare professionals to detect subtle lesions and irregularities. The recommended method offers a reliable solution for automated image enhancement in medical settings.

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Lung Cancer, Detection, Filters, Performance Metrics, Lung Images, Medical Images

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Creative Commons Attribution 4.0 and The Open Definition

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The construction industry often grapples with challenges such as fluctuating material prices, inaccurate delivery estimations, and inefficient labour management, leading to increased project costs, delays, and poor resource allocation. This paper proposes a comprehensive system to streamline construction material management, estimate delivery timelines and costs, and optimize labour utilization. The system integrates real-time data analytics, price comparison tools, automated delivery estimations, and labour scheduling functionalities to enhance overall project efficiency. The material management module allows contractors to track real-time prices of construction materials from multiple suppliers, enabling informed purchasing decisions and effective budget planning. Additionally, the delivery estimation feature optimizes logistics by providing accurate schedules and cost projections based on parameters such as distance, material type, and quantity. Furthermore, the system incorporates a job portal for gig-based labour hiring, facilitating seamless workforce management. By serving as a multi-purpose platform, this solution ensures transparency in material procurement, cost efficiency, and improved labour management, thereby addressing key inefficiencies in the construction sector.

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Online Shopping Platform, Customer Convenience, Job Offerings

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Creative Commons Attribution 4.0 and The Open Definition