International Journal of Scientific Research in Humanities and Social Sciences
International Journal of Scientific Research in Humanities and Social Sciences (IJSRHSS) is peer-reviewed, online international journal published Bimonthly by Shauryam Research Institute. IJSRHSS is a highly-selective journal, covering topics that appeal to a broad readership in various branches of Humanities and Social Sciences and related fields. The journal has many benefits, all geared toward strengthening research skills and advancing academic careers. Journal publications are a vital part of academic career advancement. To maintain a high-quality journal, manuscripts that appear in the IJSRHSS Articles section have been subjected to a rigorous review process. This includes blind reviews by one or more members of the international editorial review board, followed by a detailed review by the IJSRHSS editors. Title : International Journal of Scientific Research in Humanities and Social Sciences Frequency : Bimonthly ISSN : 3048-8176 Publisher Website Link : Shauryam Research Institute Chief Editor : Dr. Raj Kumar Copyright : Shauryam Research Institute, Uttar Pradesh, India Starting Year : 2024 Subject : Humanities and Social Sciences Language : English, Hindi, Sanskrit Publication Format : PDF & HTML -> Online Distribution : Open Access Email Id : editor@ijsrhss.com Mobile No. : +91 94535 15458 Website : https://ijsrhss.com Address : 2/1349 Ramnagar, Varanasi, Varanasi, 221008, Uttar Pradesh, India
भारतीय संघवाद में केन्द्रीय कार्यपालिका का वर्चस्वः कारण और परिणाम
भारतीय संघवाद संवैधानिक रूप से संघात्मक होने के बावजूद व्यवहार में केन्द्रीकृत स्वरूप प्रदर्शित करता है, जिसमें केन्द्रीय कार्यपालिका की भूमिका अत्यंत प्रभावशाली रही है। केन्द्र-राज्य संबंधों में संघीय कार्यपालिका को प्राप्त अधिक अधिकार राष्ट्रीय नीति समन्वय में एक ओर जहाँ वृद्धि करते हैं वहीं दूसरी ओर राज्यों की स्वायत्तता एवं संघीय संतुलन पर प्रतिकूल प्रभावों को परिलक्षित करते है। इस शोध का उद्देश्य केन्द्रीय कार्यपालिका के वर्चस्व कें संवैधानिक, राजनीतिक एवं प्रशासनिक कारणों तथा उसके संघ-राज्य संबंधों पर पड़ने वाले प्रभावों का विश्लेषण करना है।
Copyright (c) 2026 International Journal of Scientific Research in Humanities and Social Sciences https://creativecommons.org/licenses/by/4.0
Rethinking Urbanization in Ancient India: Spatial Patterns, Regional Trajectories and a GIS-Based Historical Approach
This research paper presents a comprehensive framework for analyzing the urbanization of ancient India using Geographic Information System (GIS) technology. It focuses on understanding the spatial distribution and development of ancient city settlements, a subject of great historical interest and significance. The study aims to bridge existing gaps in the literature by offering new insights into the urbanisation process in ancient India and its implications for historical and cultural narratives. Employing a meticulous approach, the paper conducts a thorough literature review, identifying key scholarly works that provide foundational knowledge on the topic. The methodology combines historical records with advanced GIS analysis, creating a novel intersection of historical data and modern technology. This approach facilitates a detailed examination of the spatial dynamics of ancient city settlements across various historical periods. The results reveal significant patterns in urban growth, trade networks, and cultural interactions, further elaborated upon in the discussion section. The analysis interprets these findings in the context of their historical significance, providing a deeper understanding of ancient urban centers and their evolution. The paper concludes by summarizing the main findings and discussing their broader implications, particularly in urban planning, historical research, and cultural studies. The research not only contributes to the academic discourse on ancient Indian urbanization but also offers valuable lessons for contemporary urban development strategies.
Copyright (c) 2024 International Journal of Scientific Research in Humanities and Social Sciences https://creativecommons.org/licenses/by/4.0
Evolution of Ayushman Bharat Scheme: A Case Study of Chhattisgarh State
The Pradhan Mantri Jan Arogya Yojana (PMJAY), popularly known as the Ayushman Bharat Scheme, is one of India’s largest public health insurance initiatives aimed at providing financial protection to economically weaker sections. Despite wide coverage, regional disparities exist in terms of availability and utilisation of Ayushman Cards. The present study examines the availability, usage pattern, and hospital-wise utilisation of Ayushman Cards in selected rural areas of Chhattisgarh. Primary data were collected from 317 respondents across four districts—Raipur, Rajnandgaon, Janjgir-Champa, and Dantewada. The findings reveal that although a majority of respondents possess Ayushman Cards, actual utilisation remains low, with government hospitals being the preferred choice. The study highlights the need for increased awareness and improved healthcare infrastructure, especially in tribal and backward regions.
Copyright (c) 2025 International Journal of Scientific Research in Humanities and Social Sciences https://creativecommons.org/licenses/by/4.0
Adoption of Digital Technology in Money Transactions: A Sociological Analysis of Rural Areas in Chhattisgarh
Digital technology has emerged as a transformative force in contemporary financial systems, redefining the modes of monetary exchange and economic interaction. In India, digital payment mechanisms are promoted as tools for efficiency, transparency, and inclusive growth. However, their acceptance in rural society remains uneven and socially conditioned. The present study explores rural respondents’ perceptions regarding the use of technology for money transactions, the types of digital payment applications preferred, and the extent to which online payments are adopted in everyday economic activities. The study is based on primary data collected from 248 respondents across four districts of Chhattisgarh—Raipur, Rajnandgaon, Janjgir-Champa, and Dantewada. The findings reveal that despite increasing exposure to digital platforms, a majority of rural respondents continue to rely on traditional cash-based transactions. Factors such as limited digital literacy, infrastructural inadequacies, and security concerns significantly influence technology adoption. The study emphasizes that digital payment systems, while technologically efficient, require strong social acceptance and institutional support to achieve meaningful financial inclusion in rural society.
Enhancing Clinical Record Protection Through Structured Health Data Security Frameworks in Regulated Healthcare Environments
Healthcare organizations increasingly rely on digital clinical records to support care delivery, population health management, and regulatory reporting. However, the growing volume, velocity, and sensitivity of electronic health data have intensified risks related to unauthorized access, data breaches, and compliance failures. This abstract presents a structured health data security framework designed to enhance clinical record protection within regulated healthcare environments. The framework integrates governance, technical controls, and operational processes to address confidentiality, integrity, and availability requirements mandated by healthcare regulations. It emphasizes standardized data classification, role-based access control, encryption across data lifecycles, and continuous monitoring mechanisms aligned with risk management principles. The proposed framework adopts a layered security architecture that aligns organizational policies with secure system design and workforce accountability. Core components include secure data ingestion, interoperable record exchange safeguards, audit-ready logging, and incident response workflows embedded into routine clinical operations. By leveraging structured data models and metadata-driven controls, the framework improves traceability, minimizes human error, and supports automated compliance reporting. Integration with clinical workflows ensures that security controls do not impede care delivery, thereby balancing usability with protection. Implementation considerations highlight scalability across diverse healthcare settings, including hospitals, outpatient facilities, and health information exchanges. The framework supports alignment with established healthcare security standards while remaining adaptable to evolving regulatory expectations and emerging cyber threats. Performance metrics such as breach reduction rates, access anomaly detection, and audit readiness are proposed to evaluate effectiveness. Overall, the structured health data security framework provides a practical and systematic approach to safeguarding clinical records in highly regulated environments. By embedding security into data structures, governance processes, and operational practices, healthcare organizations can strengthen trust, ensure regulatory compliance, and enhance the resilience of digital health ecosystems while maintaining high-quality, patient-centered care. Future research may validate the framework through empirical case studies, simulated cyberattack scenarios, and longitudinal compliance assessments. Such evaluations can inform refinement, support evidence-based adoption, and guide policymakers and health leaders seeking robust, interoperable, and sustainable data protection strategies amid accelerating digital transformation. This approach reinforces organizational accountability, strengthens patient trust, and aligns security investments with clinical, ethical, and societal responsibilities across healthcare systems.
भारतीय समाज में भारतीय ज्ञान एवं परंपरा का समाजशास्त्रीय विश्लेषण
भारतीय समाज विश्व की प्राचीनतम और निरंतर विकसित होने वाली सभ्यताओं में से एक है। इसकी विशिष्टता भारतीय ज्ञान परंपरा में निहित है, जिसमें वेद, उपनिषद, दर्शन, धर्म, लोक परंपराएँ, आचार-विचार, रीति-रिवाज, कला, संस्कृति और सामाजिक संस्थाएँ सम्मिलित हैं। भारतीय ज्ञान एवं परंपरा केवल धार्मिक या आध्यात्मिक संरचना तक सीमित न होकर समाज के संपूर्ण ढांचे—परिवार, विवाह, शिक्षा, अर्थव्यवस्था, राजनीति और नैतिक मूल्यों—को प्रभावित करती रही है। इस शोध पत्र का उद्देश्य भारतीय समाज में विद्यमान भारतीय ज्ञान एवं परंपरा का समाजशास्त्रीय दृष्टिकोण से विश्लेषण करना है। अध्ययन में यह समझने का प्रयास किया गया है कि किस प्रकार पारंपरिक ज्ञान आधुनिक सामाजिक संरचनाओं के साथ सामंजस्य स्थापित करता है तथा सामाजिक परिवर्तन के दौर में इसकी भूमिका क्या है। प्रस्तुत शोधसतना जिलेको अध्ययन क्षेत्र बनाकर किया गया है, जिसमें200 उत्तरदाताओंको सैंपल के रूप में चयनित किया गया। शोध में वर्णनात्मक एवं विश्लेषणात्मक पद्धति अपनाई गई है। प्राथमिक एवं द्वितीयक दोनों प्रकार के आंकड़ों का उपयोग किया गया। शोध के निष्कर्ष बताते हैं कि भारतीय ज्ञान परंपरा आज भी समाज में नैतिकता, सामाजिक एकता, पारिवारिक मूल्य और सांस्कृतिक पहचान को सुदृढ़ करने में महत्वपूर्ण भूमिका निभा रही है, यद्यपि वैश्वीकरण और पाश्चात्य प्रभावों के कारण इसमें परिवर्तन भी दृष्टिगोचर हो रहे हैं। यह अध्ययन नीति-निर्माताओं, शिक्षाविदों एवं समाजशास्त्रियों के लिए उपयोगी सिद्ध हो सकता है।
An Integrated Resilience and Life Skills (IRLS) Framework for Adolescent Development: Synthesizing Theory, Practice, and Digital Innovation
Adolescence is a critical developmental period marked by heightened exposure to academic, social, identity-related, and digital stressors, with enduring implications for mental health and well-being. Although scholarship on adolescent well-being, resilience, and life skills has expanded substantially, these literatures remain conceptually fragmented, limiting understanding of how teachable competencies support adaptive development. This paper introduces the Integrated Resilience and Life Skills (IRLS) Framework, an integrative conceptual model that clarifies the mechanisms linking life skills, coping processes, resilience, and well-being in adolescence, while explicitly incorporating digital literacy as a developmentally salient competency. Using a structured narrative (integrative) review and theory-synthesis approach, peer-reviewed literature published between 2000 and 2025 on adolescent well-being, resilience, life skills, coping, and digital literacy was examined to identify recurring constructs and relational patterns. The synthesis identified emotional regulation, problem-solving, decision-making, and interpersonal communication as core, modifiable life skills supporting adaptive coping, with enactment shaped by external supports across family, school, peer, and community systems. Digital literacy emerged as a cross-cutting competency moderating how adolescents apply cognitive, emotional, and social skills in digitally mediated contexts. The IRLS Framework advances existing models by specifying skill-based mechanisms of resilience and situating adolescent development within contemporary digital environments, providing a unifying structure to guide future research, intervention design, and policy efforts, while underscoring the need for longitudinal and cross-cultural empirical validation.
Translating Healthcare Infrastructure Investment into Measurable Population Health and Diagnostic Outcomes
Healthcare infrastructure investment is widely promoted as a catalyst for improved population health, diagnostic accuracy, and system resilience, yet translating capital expenditure into measurable health outcomes remains uneven, particularly in low- and middle-income settings. This paper examines the mechanisms through which investments in hospitals, laboratories, imaging centers, and digital health infrastructure influence diagnostic performance, service accessibility, and population-level health indicators. Using an integrative synthesis of health systems literature, infrastructure planning studies, and outcome-based evaluation frameworks, the study analyzes the causal pathways linking physical assets to clinical and public health gains. Key dimensions explored include facility functionality, technology utilization, workforce readiness, maintenance regimes, and governance arrangements that mediate the infrastructure–outcome relationship. The analysis highlights that infrastructure investments yield limited impact when decoupled from human capacity development, clinical workflow integration, and data-driven performance monitoring. Conversely, projects that align capital planning with epidemiological priorities, referral networks, and quality assurance systems demonstrate stronger associations with early diagnosis, reduced service delays, and improved treatment outcomes. The paper further discusses methodological challenges in attributing population health changes to infrastructure spending, including time lags, confounding socioeconomic factors, and weak health information systems. To address these challenges, a results-oriented framework is proposed that embeds measurable diagnostic and population health indicators into infrastructure investment cycles, from planning and design through commissioning and operation. The framework emphasizes outcome-based business cases, baseline data collection, continuous monitoring, and feedback loops linking infrastructure performance to health system goals. By shifting the focus from asset delivery to outcome realization, this study provides practical guidance for policymakers, development partners, and health planners seeking to maximize the health returns of infrastructure investments. The findings support more accountable, evidence-informed investment strategies that strengthen diagnostic capacity, improve equity in access to care, and translate healthcare infrastructure spending into demonstrable, sustainable population health improvements across diverse health system contexts. Such alignment enables decision makers to prioritize investments that deliver timely diagnostics, support preventive care, enhance system learning, and build public trust, while ensuring scarce resources contribute directly to measurable health impact, long-term sustainability, and resilient service delivery under demographic change, fiscal pressure, and emerging disease threats globally today worldwide.
Strategic Management Practices and Innovation Dynamics: Examining Their Influence on Organisational Behaviour and Customer Satisfaction in Contemporary Organizations
In an increasingly competitive and dynamic business environment, strategic management practices and innovation dynamics have emerged as critical determinants of organizational effectiveness and long-term sustainability. Contemporary organizations are required to continuously align strategic intent with innovative capabilities in order to respond effectively to changing market conditions, technological advancements, and evolving customer expectations. This study examines the influence of strategic management practices—such as strategic planning, leadership orientation, resource allocation, and performance management—on innovation dynamics, and investigates how these interactions shape organisational behaviour and customer satisfaction in modern organizational contexts. The study conceptualizes innovation dynamics as a multidimensional construct encompassing product, process, and service innovation, as well as the organization’s capacity for continuous learning and adaptation. Strategic management practices are posited to play a central role in fostering an innovation-supportive environment by encouraging employee engagement, knowledge sharing, and adaptive behaviours. Through effective strategic alignment and supportive leadership, organizations can cultivate positive organisational behaviour manifested in enhanced job satisfaction, commitment, collaboration, and innovative work behaviour. These behavioural outcomes, in turn, are expected to influence the quality of service delivery and customer experiences. From a customer-centric perspective, the study highlights that innovation driven by strategic management practices contributes to improved service quality, responsiveness, and value creation, thereby enhancing customer satisfaction. Organizations that integrate innovation into their strategic frameworks are better positioned to anticipate customer needs, personalize offerings, and maintain consistent service standards. The study also acknowledges that contextual factors such as organizational culture, leadership style, and market dynamics may moderate the relationships among strategic management practices, innovation dynamics, organisational behaviour, and customer satisfaction. This study provides an integrative perspective on the interrelationships between strategy, innovation, human behaviour, and customer outcomes. By linking strategic management practices with innovation dynamics and their behavioural and customer-level implications, the study contributes to the literature on strategic management and organizational behaviour while offering practical insights for managers seeking to enhance both internal effectiveness and customer satisfaction in contemporary organizations.
Examining the Role of Spiritual Well-Being and Employee Engagement in the Relationship between Strategic Management, Innovation, and Customer Satisfaction in the Management Sector
In the contemporary management sector, organisations are increasingly required to balance strategic efficiency, continuous innovation, and human-centred practices to achieve sustainable customer satisfaction. While strategic management and innovation are widely recognised as key drivers of organisational success, the mechanisms through which these factors influence customer satisfaction remain insufficiently explored. This study examines the role of spiritual well-being and employee engagement as critical mediating variables in the relationship between strategic management practices, innovation capability, and customer satisfaction within the management sector. Strategic management practices, including strategic planning, leadership orientation, and resource alignment, provide organizational direction and operational coherence, whereas innovation capability enables adaptability, learning, and value creation. The study posits that these strategic and innovative factors contribute to enhanced customer satisfaction indirectly by fostering employees’ spiritual well-being—characterized by a sense of purpose, meaning, inner fulfillment, and alignment between personal and organizational values—and by strengthening employee engagement. Employees who experience higher levels of spiritual well-being are more likely to exhibit positive attitudes, resilience, and commitment, which in turn enhance their cognitive, emotional, and behavioural engagement at work. Drawing on theories from strategic management, organisational behaviour, and workplace spirituality, the study proposes an integrated framework in which spiritual well-being and employee engagement jointly mediate the relationship between strategy, innovation, and customer satisfaction. Engaged and spiritually fulfilled employees are more likely to demonstrate customer-oriented behaviour, deliver high-quality services, and build trust-based relationships with customers. These behaviours significantly enhance service quality, customer experience, and overall customer satisfaction. By integrating strategic, innovative, and spiritual dimensions, this study contributes to the literature by highlighting the importance of human and value-based mechanisms in achieving customer satisfaction in the management sector. The findings are expected to offer valuable insights for managers and practitioners seeking to enhance customer satisfaction by fostering spiritual well-being and employee engagement alongside strategic management and innovation initiatives.
शिक्षक प्रशिक्षण कार्यक्रमों के संदर्भ में प्रशिक्षु शिक्षकों की बाल अधिकारों के प्रति जागरूकता का विश्लेषणात्मक अध्ययन
प्रस्तुत शोध पत्र शिक्षक प्रशिक्षण कार्यक्रमों के अंतर्गत प्रशिक्षु शिक्षकों में बाल अधिकारों के प्रति जागरूकता के स्तर का विश्लेषण करने का प्रयास करता है। वर्तमान सामाजिक-शैक्षिक परिदृश्य में बाल अधिकार—विशेषतः संरक्षण, परिपोषण, विकास और सहभागिता से संबंधित अधिकार—अत्यंत प्रासंगिक हो गए हैं, क्योंकि बच्चों के शोषण, उपेक्षा और असमानता की घटनाएँ निरंतर सामने आ रही हैं। ऐसे परिप्रेक्ष्य में शिक्षक न केवल शैक्षणिक मार्गदर्शक होते हैं, बल्कि बाल अधिकारों के संवाहक और रक्षक की भी महत्वपूर्ण भूमिका निभाते हैं। इस अध्ययन में वर्णनात्मक सर्वेक्षण पद्धति का उपयोग किया गया। नमूने के रूप में 300 प्रशिक्षु शिक्षकों का चयन सरकारी DIET, निजी बी.एड. महाविद्यालयों तथा विश्वविद्यालयों के शिक्षा विभागों से स्तरीकृत यादृच्छिक नमूना विधि द्वारा किया गया। आँकड़ों के संकलन हेतु बाल अधिकारों से संबंधित ज्ञान, दृष्टिकोण एवं व्यवहार को मापने वाली मानकीकृत प्रश्नावली का प्रयोग किया गया। प्राप्त आँकड़ों के विश्लेषण के लिए Mean, Standard Deviation, t-test तथा ANOVA जैसी सांख्यिकीय तकनीकों का उपयोग किया गया। अध्ययन के निष्कर्षों से यह ज्ञात हुआ कि अधिकांश प्रशिक्षु शिक्षकों में बाल अधिकारों के प्रति जागरूकता का स्तर मध्यम पाया गया। लिंग, भौगोलिक क्षेत्र तथा प्रशिक्षण संस्थान के प्रकार के आधार पर जागरूकता में सांख्यिकीय रूप से महत्वपूर्ण अंतर दृष्टिगोचर हुए। महिला प्रशिक्षु शिक्षकों तथा विश्वविद्यालय स्तर के प्रशिक्षण प्राप्त करने वालों में अपेक्षाकृत अधिक जागरूकता पाई गई। अध्ययन यह संकेत देता है कि शिक्षक प्रशिक्षण पाठ्यक्रमों में बाल अधिकारों की व्यवहारिक एवं अनुप्रयोगात्मक शिक्षा को सुदृढ़ किए जाने की आवश्यकता है, जिससे भावी शिक्षक बच्चों के अधिकारों की प्रभावी रक्षा कर सकें।
अस्तित्व की खोज में ट्रांसजेंडर: एक विश्लेषणात्मक अध्ययन (इंदौर जिले के विशेष संदर्भ में)
प्रस्तुत शोध-पत्र इंदौर जिले में निवासरत ट्रांसजेंडर समुदाय की सामाजिक, आर्थिक, सांस्कृतिक एवं मनोवैज्ञानिक स्थिति का विश्लेषणात्मक अध्ययन प्रस्तुत करता है। ट्रांसजेंडर समुदाय भारतीय समाज का वह हाशिये पर स्थित वर्ग है जो ऐतिहासिक रूप से सामाजिक बहिष्कार, भेदभाव, हिंसा, पहचान संकट एवं आर्थिक असुरक्षा का सामना करता आया है। आधुनिक संवैधानिक एवं कानूनी सुधारों के बावजूद यह समुदाय आज भी पूर्ण सामाजिक स्वीकृति एवं गरिमापूर्ण जीवन से वंचित है। इस अध्ययन का मुख्य उद्देश्य इंदौर जिले में ट्रांसजेंडर व्यक्तियों के अस्तित्व संकट, पहचान संघर्ष, पारिवारिक एवं सामाजिक स्वीकृति के स्तर तथा उनके सामुदायिक जीवन के वास्तविक अनुभवों को समझना है। शोध में प्राथमिक एवं द्वितीयक दोनों प्रकार के आंकड़ों का उपयोग किया गया है। प्राथमिक आंकड़े साक्षात्कार विधि, गूगल प्रश्नावली एवं अवलोकन के माध्यम से 300 ट्रांसजेंडर उत्तरदाताओं से संकलित किए गए हैं, जबकि द्वितीयक स्रोतों में सरकारी रिपोर्ट, शोध-पत्र, पुस्तकें एवं नीति दस्तावेज सम्मिलित हैं। अध्ययन से यह स्पष्ट होता है कि इंदौर जिले में ट्रांसजेंडर समुदाय में शिक्षा एवं जागरूकता का स्तर धीरे-धीरे बढ़ रहा है, परंतु सामाजिक स्वीकृति, स्थायी रोजगार, स्वास्थ्य सेवाओं की पहुंच एवं पारिवारिक समर्थन की भारी कमी बनी हुई है। अनेक ट्रांसजेंडर व्यक्ति परिवार द्वारा त्याग दिए जाने, सामाजिक अपमान, आर्थिक बहिष्कार एवं मानसिक तनाव से ग्रसित पाए गए। शोध निष्कर्ष यह प्रतिपादित करता है कि ट्रांसजेंडर समुदाय के अस्तित्व की खोज तभी सार्थक हो सकती है जब समाज, परिवार एवं शासन–प्रशासन मिलकर समानता, गरिमा एवं मानवाधिकारों की वास्तविक स्थापना करें।
भारतीय संस्कृति एवं आधुनिक भारतीय समाज में विवाह पूर्व परामर्श की आवश्यकता
भारतीय समाज में विवाह को केवल दो व्यक्तियों का निजी संबंध नहीं, बल्कि एक सामाजिक, सांस्कृतिक एवं नैतिक संस्था माना गया है। पारंपरिक भारतीय संस्कृति में विवाह को संस्कार के रूप में स्वीकार किया गया, जहाँ परिवार, समाज और धर्म की महत्वपूर्ण भूमिका रही है। किंतु आधुनिक भारतीय समाज में औद्योगीकरण, शहरीकरण, शिक्षा, वैश्वीकरण, व्यक्तिगत स्वतंत्रता और बदलती जीवन-शैली के कारण विवाह की प्रकृति में व्यापक परिवर्तन दृष्टिगत हो रहे हैं। विवाह विच्छेद, पारिवारिक कलह, घरेलू हिंसा, भावनात्मक असंतोष एवं मानसिक तनाव जैसी समस्याएँ निरंतर बढ़ रही हैं। इन बदलती सामाजिक परिस्थितियों में विवाह पूर्व परामर्श (Pre-Marital Counseling) एक प्रभावी सामाजिक हस्तक्षेप के रूप में उभर रहा है। यह परामर्श संभावित दंपत्तियों को विवाह से पूर्व भावनात्मक, मनोवैज्ञानिक, सामाजिक, आर्थिक एवं सांस्कृतिक पहलुओं पर जागरूक करता है, जिससे वैवाहिक जीवन की चुनौतियों का सामना बेहतर ढंग से किया जा सके। प्रस्तुत शोध पत्र का उद्देश्य भारतीय संस्कृति एवं आधुनिक भारतीय समाज के संदर्भ में विवाह पूर्व परामर्श की आवश्यकता, सामाजिक धारणा, इसके लाभ एवं अवरोधों का समाजशास्त्रीय विश्लेषण करना है। यह अध्ययन मध्यप्रदेश राज्य में 500 व्यक्तियों (250 महिला एवं 250 पुरुष) के नमूने पर आधारित है। शोध में प्राथमिक एवं द्वितीयक आँकड़ों का प्रयोग कर तथ्यात्मक तालिकाओं के माध्यम से विश्लेषण प्रस्तुत किया गया है। निष्कर्षतः यह शोध विवाह पूर्व परामर्श को विवाह संस्था के सुदृढ़ीकरण हेतु एक आवश्यक सामाजिक साधन के रूप में स्थापित करता है।
Digital Repositories and Knowledge Management Practices in Higher Education Libraries
Digital repositories have become part of knowledge management practice in higher education libraries with repositories playing a critical role in institution knowledge creation, organization, preservation, and sharing. As the digital scholarship, open access initiatives, and research data management continue to grow very rapidly, academic libraries are turning to digital repositories as one of the ways to foster knowledge sharing, increase the visibility of research, and facilitate the teaching and learning processes. This paper will discuss how digital repositories are enhancing knowledge management behaviours in libraries of higher institutions of learning in terms of their relevance to the availability of information, institutional memory and scholarly communication. It further investigates the major issues like technological infrastructure, policy development, metadata standardization, user interaction and long term digital preservation. The article identifies best practices and strategic interventions that can help libraries fully integrate digital repositories in their knowledge management systems and therefore innovate and collaborate to create sustainable academic knowledge ecosystems.
Development of Norms for Span of Attention and Span of Reading among 8 -12 Year Old Children
The purpose of the present study is to development of norms for span of attention and span of reading among 8 -12 year old children. The sample of the present study consisted of 200 students. Who were divided in to 5 groups based on age. Each group consisted of equal number of students (20 students in the boys and 20 students in the girls. There were 100 boys and 100 girls in the sample. The sample consisted of students from class 3rd-7th following CBSE scheme of Trivandrum district in Kerala. The tools used for the study, personal computer, span of attention task, span of reading task. The data were analyzed using, analysis of variance, correlation and factor analysis. The result of the study showed that different age groups differ significantly in span of attention and span of reading, there is no significant gender difference in span of attention and span of reading, span of attention and span of reading are independent dimensions.
A Conceptual Framework for Automating Reservoir Characterization Workflows Using NLP and Data Integration
Reservoir characterization is a critical process in the energy industry, providing insights into subsurface properties essential for efficient exploration, production, and management. Traditional workflows are hindered by inefficiencies in handling diverse datasets, reliance on manual processes, and the challenges of integrating structured and unstructured information. This paper proposes a conceptual framework to automate reservoir characterization workflows by leveraging advanced technologies such as Natural Language Processing (NLP), data integration tools, and visualization systems. The framework encompasses four key components: data acquisition and preprocessing, text analysis through NLP models, a robust integration layer for harmonizing datasets, and intuitive visualization tools for enhanced decision-making. The framework aims to improve efficiency, accuracy, and collaboration in reservoir studies by automating and streamlining these processes. The paper also discusses the anticipated benefits, including faster decision-making and greater insight, alongside challenges such as computational demands, data quality issues, and the need for domain-specific model customization. Strategies to mitigate these challenges and recommendations for future research and practical implementation are proposed. This framework represents a transformative approach, offering a scalable solution to modernize reservoir characterization and drive innovation in the energy sector.
Enterprise Scale Continuous Security Validation Models for Regulated Digital Infrastructures
Regulated digital infrastructures underpin critical economic and societal functions across sectors such as finance, healthcare, energy, and telecommunications. These environments are subject to stringent regulatory requirements, complex threat landscapes, and rapid technological change, making static or periodic cybersecurity assessments increasingly insufficient. In response, continuous security validation (CSV) has emerged as an approach that enables organizations to systematically test, measure, and validate the effectiveness of security controls on an ongoing basis. This paper develops a conceptual and analytical foundation for enterprise-scale continuous security validation models tailored to regulated digital infrastructures. The study positions CSV as a governance-oriented capability rather than a purely technical function, emphasizing its role in demonstrating regulatory compliance, operational resilience, and risk transparency. Building on established principles from continuous assurance, cyber risk management, and automated testing, the paper proposes a structured framework that integrates threat simulation, control performance measurement, and compliance evidence generation. The framework highlights how continuous validation supports proactive risk identification and enables organizations to align security operations with regulatory expectations and business objectives. Methodologically, the paper adopts a conceptual modeling and scenario-based analytical approach, synthesizing insights from prior research, industry practices, and regulatory guidance. The results illustrate how enterprise-scale CSV models enhance visibility into control effectiveness, reduce assessment blind spots, and support more informed governance decisions. The discussion further explores organizational, technological, and regulatory implications of adopting continuous validation at scale, including challenges related to data interpretation, operational integration, and assurance credibility. Overall, the paper contributes to the evolving discourse on cybersecurity assurance by articulating how continuous security validation can be operationalized as a strategic capability in regulated environments. It offers researchers and practitioners a structured lens for understanding CSV as a foundational element of modern digital infrastructure governance rather than a supplementary security tool.
Realisation of Socio-Economic Justice through the Directive Principles of State Policy: An Analytical Study of Article 38 and Article 39 of the Constitution of India
The Directive Principles of State Policy embodied in Part IV of the Constitution of India reflect the constitutional vision of establishing a just social order grounded in equality, welfare, and socio-economic justice. Among these, Article 38 and Article 39 occupy a central position as they collectively mandate the State to promote the welfare of the people, minimize inequalities, and ensure equitable distribution of material resources to subserve the common good. This paper undertakes an analytical study of the role of Articles 38 and 39 in realizing socio-economic justice, examining their constitutional philosophy, scope, and relevance in the contemporary Indian context. The study explores how these provisions guide legislative and executive action in addressing issues such as economic disparity, concentration of wealth, livelihood security, and social welfare. It critically evaluates judicial interpretations and policy initiatives that have sought to operationalize these Directive Principles, highlighting both achievements and limitations in their implementation. By situating Articles 38 and 39 within the broader framework of constitutional governance, the paper emphasizes their transformative potential in shaping an inclusive and equitable socio-economic order. The analysis underscores that although the Directive Principles are non-justiciable, they serve as essential instruments of moral obligation and policy direction, reinforcing the commitment of the Indian State to social and economic justice in a democratic society.
Directive Principles as Instruments of Social Transformation: Evaluating the Implementation of Socio-Economic Justice under Article 39 of the Indian Constitution
The Directive Principles of State Policy enshrined in Part IV of the Constitution of India represent a transformative constitutional mandate aimed at restructuring society on the principles of justice, equality, and human dignity. Among these, Article 39 occupies a pivotal position as it specifically directs the State to ensure equitable distribution of material resources, prevent concentration of wealth, secure adequate means of livelihood, promote equal pay for equal work, and protect vulnerable sections such as workers and children from exploitation. This paper critically examines Article 39 as an instrument of social transformation by evaluating its role in advancing socio-economic justice within the Indian constitutional framework. The study analyses the constitutional philosophy underlying Article 39 and assesses its implementation through legislative measures, judicial interpretation, and policy initiatives adopted by the State. It explores how welfare legislation, labor laws, land reforms, and redistributive policies have been shaped by the objectives of Article 39, while also highlighting the challenges and limitations that hinder its effective realization. Special emphasis is placed on the judiciary’s role in interpreting Fundamental Rights in the light of Article 39, thereby reinforcing the constitutional commitment to distributive justice and social welfare. The paper argues that despite its non-justiciable nature, Article 39 has significantly influenced India’s socio-economic governance and continues to serve as a moral and policy compass for achieving an inclusive and equitable social order.
Echoes of the Past in the Modern World: Colonial Legacies, Postcolonial Identities, and the Reconfiguration of Historical Thought
The modern world continues to resonate with the enduring echoes of its colonial past, revealing how historical processes of domination, resistance, and negotiation remain deeply embedded within contemporary political, cultural, and intellectual landscapes. Colonialism was not merely a territorial or economic enterprise; it constituted a powerful epistemic project that restructured systems of knowledge, modes of representation, and historical consciousness itself. Even after the formal end of colonial rule, these inherited frameworks persist, shaping the ways societies understand identity, authority, and collective memory (Said, 1978; Trouillot, 1995). In this context, history emerges not as a neutral recounting of past events but as a contested terrain where power relations are continuously produced, challenged, and reimagined (Chakrabarty, 2000). The study situates itself within postcolonial historiography, arguing that colonialism did not merely dominate territories but profoundly restructured ways of knowing, remembering, and narrating the past (Said, 1978; Chakrabarty, 2000). By interrogating the persistence of colonial legacies in governance, education, language, and cultural memory, the paper highlights how history functions as a contested space where power, resistance, and identity intersect. The abstract foregrounds the idea that postcolonial identities are not fixed outcomes of decolonization but dynamic processes continually negotiated through historical narratives, collective memory, and socio-political struggles (Hall, 1996; Bhabha, 1994). It explores how formerly colonized societies engage in acts of historical recovery and reinterpretation to challenge Eurocentric frameworks that once positioned them as peripheral or derivative (Spivak, 1988). In this context, the study emphasizes the importance of subaltern voices, oral histories, and indigenous knowledge systems in reconfiguring dominant historical paradigms. Furthermore, the paper examines the reconfiguration of historical thought in the modern world through interdisciplinary lenses, incorporating insights from cultural studies, sociology, and political theory. It argues that globalization and digital archives have simultaneously expanded access to historical sources and intensified debates over authenticity, memory, and historical authority (Trouillot, 1995). The study underscores how contemporary historical thought moves beyond linear, nation-centric narratives toward plural, transnational, and dialogic approaches that acknowledge trauma, hybridity, and continuity. By weaving together colonial legacies, postcolonial identity formation, and evolving historiographical practices, this research contributes to a deeper understanding of how the past actively informs present realities. It concludes that rethinking history is not merely an academic exercise but a critical intervention in shaping more inclusive, reflexive, and ethically grounded futures (Mbembe, 2001).
Democracy in the Digital Age: Evaluating the Impact of Social Media on Political Awareness and Participatory Citizenship in Punjab with a Case Study of the 2022 Assembly Elections and the Rise of Issue-Based Campaigning on Platforms like YouTube, WhatsApp
This study critically examines the transformative role of social media in shaping political awareness and participatory citizenship in Punjab, with a special focus on the 2022 Punjab Assembly Elections. As digital platforms increasingly replace traditional media as sources of political information, this research investigates how platforms such as YouTube, WhatsApp, and Instagram have redefined the contours of democratic engagement. The study integrates a case study of the 2022 elections, highlighting how political parties—particularly the Aam Aadmi Party (AAP)—leveraged issue-based digital campaigning to engage rural and urban voters, bypassing legacy media and traditional canvassing methods. The research explores how memes, short videos, influencer endorsements, and mobile-first campaigns contributed to voter mobilization and the articulation of regional political demands. Drawing on secondary data from institutional reports, media analyses, and digital policy frameworks, the paper also considers how social media has empowered youth and marginalized communities by decentralizing political discourse. While celebrating the participatory potential of digital tools, the study also interrogates challenges such as misinformation, surveillance, data privacy breaches, and algorithmic polarization. Ultimately, this research underscores the dual nature of social media as both a democratizing force and a site of contested political narratives, providing nuanced insights into how digital technologies are reshaping political consciousness in Punjab’s evolving electoral landscape.
Innovating Wellness: The Role of Fitness and Nutrition Entrepreneurship in Shaping Positive Body Image across Gender
Women are more affected by false beauty standards than men are, both mentally and physically. But a small but vociferous group is calling for changes in the health and wellness business. Do you know who owns businesses that encourage healthy living? The company is doing a lot to get away from damaging stereotypes and promote a more open and honest view of body acceptance, but these problems are still there. Many business entrepreneurs have become financially independent by realizing how important their bodies are and valuing them. Starting businesses that focus on health and questioning traditional gender roles are two ways that this dynamic is helping to make gender equality a reality. This study seeks entrepreneurial concepts that promote diversity, challenge established norms, and emphasize alternative perspectives through a narrative review and critical synthesis of health-related literature. To understand modern body positivity, one must look at it through a gendered lens. This essay does just that by looking at wellness businesses. The significance of entrepreneurs in shifting conventional narratives toward gender-inclusive, holistic health is highlighted in this sociology and health study, which establishes a connection between market innovation and shifting societal views of wellness and body image.
Predictive Analytical Framework for Identifying Vapor Intrusion Risks across Urban Redevelopment Zones
Urban redevelopment initiatives increasingly involve the repurposing of former industrial and commercial lands, many of which contain legacy contaminants capable of migrating into overlying structures through vapor intrusion pathways. Accurately identifying and predicting vapor intrusion risks is essential for protecting public health, guiding land-use decisions, and ensuring regulatory compliance during redevelopment processes. This study proposes a predictive analytical framework that integrates environmental forensics, subsurface vapor transport modeling, and machine-learning-enhanced risk classification to evaluate vapor intrusion potentials across diverse urban redevelopment zones. The framework incorporates high-resolution spatial datasets including soil gas measurements, groundwater contaminant plumes, building characteristics, and land-use variables to generate comprehensive exposure profiles. A hybrid modeling approach is implemented, combining physics-based vapor transport models with data-driven predictive algorithms to capture complex interactions among contaminant concentration gradients, soil permeability, building ventilation patterns, and climatic influences. Feature-ranking techniques and sensitivity analyses were employed to determine the most influential parameters affecting vapor intrusion likelihood. The framework further integrates temporal monitoring data to capture seasonal fluctuations in subsurface vapor behavior and potential intrusion episodes. Model accuracy was assessed through cross-validation against regulatory screening data and field-verified vapor intrusion cases. Results indicate that redevelopment zones with shallow groundwater tables, fractured subsurface geology, aging building foundations, and historical chlorinated solvent use exhibit significantly elevated intrusion risks. The predictive framework also identifies micro-scale spatial variability in intrusion hotspots, highlighting built-environment factors such as sub-slab depressurization, sewer line connectivity, and basement construction materials as critical determinants of exposure. The integrated model demonstrates strong predictive performance, providing a robust and scalable tool for prioritizing mitigation strategies, optimizing site investigation resources, and informing zoning decisions in urban redevelopment contexts. This study contributes a scientifically grounded and operationally practical framework for assessing vapor intrusion risks using predictive analytics. By combining hydrological, geospatial, and machine-learning techniques, the approach advances proactive environmental risk management and supports sustainable, health-protective redevelopment planning in urban communities.
Model for Predictive Procurement Planning to Sustain Operational Uptime
Ensuring operational uptime is a critical challenge for organizations operating in asset-intensive and high-reliability environments. Traditional procurement methods, often reactive and manually driven, frequently fail to anticipate supply disruptions, resulting in unplanned downtime, production delays, and increased operational costs. This study proposes a Model for Predictive Procurement Planning to Sustain Operational Uptime, which leverages data-driven insights, predictive analytics, and automated workflows to optimize procurement processes and maintain continuous operational readiness. The model integrates demand forecasting, inventory optimization, supplier performance monitoring, and risk assessment into a cohesive framework, enabling proactive procurement decisions aligned with operational priorities. The framework incorporates real-time data capture from enterprise resource planning (ERP) systems, supply chain management (SCM) platforms, and Internet of Things (IoT) devices, providing visibility into asset status, consumption patterns, and inventory levels. Predictive analytics techniques are applied to forecast material requirements, anticipate potential disruptions, and evaluate supplier reliability. Automated workflows and exception-handling protocols ensure timely replenishment, facilitate contingency planning, and minimize the impact of delays or shortages. Performance dashboards provide decision-makers with actionable insights for resource allocation, supplier management, and operational risk mitigation, supporting evidence-based decision-making and continuous improvement. By adopting this predictive procurement approach, organizations can enhance operational efficiency, reduce unplanned downtime, optimize inventory costs, and strengthen supplier reliability. The model is adaptable across diverse sectors, including manufacturing, energy, healthcare, and public-sector operations, and is particularly relevant for emerging and resource-constrained markets where supply chain disruptions have significant operational consequences. This presents a structured conceptual model that bridges predictive analytics, procurement planning, and operational resilience, offering a foundation for practical implementation and empirical validation. The model emphasizes proactive management, data-driven decision support, and cross-functional integration as essential enablers of sustained operational uptime.
The Difference in Achievement Motivation between Students with Learning Disability and Without Learning Disability
Achievement motivation is an important psychological construct that influences student’s academic behaviour, perseverance, and overall learning outcomes. The present study aims to examine the difference in achievement motivation between students with learning disabilities (LD) and students without LD. The sample consisted of 300 participants, including 150 students with LD and 150 students without LD, all within the age range of 8–12 years. Ray’s Achievement Motivation Scale was administered to assess levels of goal orientation, task persistence, and aspiration among the participants. A purposive sampling technique was adopted for sample selection. The study was guided by the hypothesis that students with LD would exhibit higher achievement motivation, whereas students without LD would show comparatively lower achievement motivation. To analyze the difference between the two groups, an independent sample t-test was employed. The results did not support the hypothesis, as there was no significant difference in achievement motivation between students with learning disabilities and those without learning disabilities. Although the mean score of students with learning disabilities was slightly higher, this difference was not statistically meaningful. These findings indicate that the presence of a learning disability does not necessarily reduce a student's drive to succeed. Instead, children with learning disabilities may maintain comparable levels of motivation through resilience, supportive learning environments, and adaptive coping strategies.
An Analysis of How Learning Disability Affect the Processing Speed Abilities of Students When Compared To Their Non-Learning Disability Peers
Processing speed is a key cognitive ability that determines how quickly a student can take in information, understand it, and respond to academic tasks. Difficulties in this area are frequently associated with learning disabilities (LD). A learning disability is a neuro developmental condition that affects the brain’s ability to receive, process, store, or produce information, leading to challenges in reading, writing, mathematics, or related academic skills despite normal intelligence and adequate opportunities. The present study examines the difference in processing speed abilities between students with learning disabilities and their peers without learning disabilities. The sample consisted of 300 participants, 150 students diagnosed with LD and 150 students without LD, falling within the age range of 8–12 years. Purposive sampling was used to select the participants. Processing speed was assessed using the Coding and Symbol Search subtests from a standardized cognitive assessment battery. The study was guided by the hypothesis that students with learning disabilities would exhibit significantly lower processing speed abilities compared to students without learning disabilities. An independent sample t-test was conducted to analyze group differences. The results supported the alternative hypothesis, indicating a statistically significant difference in processing speed performance, with students without LD scoring higher than their counterparts with LD. These findings highlight the impact of learning disabilities on rapid information processing and emphasize the need for specialized interventions to support affected students in tasks requiring speed and efficiency.
Predictive Modeling of Student Engagement and Behavioral Outcomes Using Machine Learning Techniques in Technology-Enhanced Classrooms
The rapid integration of digital technologies into educational environments has generated vast amounts of learner interaction data, creating new opportunities for data-driven insights into student engagement and behavioral outcomes. This review paper examines the application of machine learning techniques for predictive modeling of student engagement, academic behaviors, and learning trajectories in technology-enhanced classrooms. It synthesizes existing literature on data sources such as learning management systems, intelligent tutoring systems, classroom sensors, and educational software platforms, highlighting how these multimodal data streams enable fine-grained behavioral analysis. The paper critically evaluates supervised, unsupervised, and deep learning approaches including regression models, decision trees, ensemble methods, neural networks, and temporal models for predicting engagement patterns, dropout risks, and behavioral shifts. Attention is given to model interpretability, fairness, and ethical considerations, particularly in high-stakes educational decision-making. Furthermore, the review discusses how predictive insights can inform adaptive interventions, personalized learning pathways, and early-warning systems that support student success. By consolidating methodological advances, challenges, and future research directions, this study provides a structured foundation for researchers, educators, and policymakers seeking to leverage machine learning to enhance learning experiences and behavioral outcomes in digitally mediated educational settings.
The Voice of the Oppressed: Representation and Resistance in the Works of Arjun Dangle
This research paper analyzes the thematic and political representations in the literary works and editorial contributions of Arjun Dangle, a pivotal figure in the Dalit Panther movement and Dalit literature. It specifically investigates the depiction of Dalit men as victims of caste exploitation, the intersectional matrix of caste, class, and gender in his narratives, and the emergence of protest and political consciousness as pathways to dignity. Dangle's works, particularly his editorship of the seminal anthology Poisoned Bread, are shown to foreground the systematic humiliation, economic deprivation, and structural oppression faced by Dalits in post-independence India. The study highlights how Dangle moves beyond simple victimhood, transforming personal trauma into collective resistance and reclaiming a new, assertive Dalit identity and masculinity. Furthermore, it examines his nuanced approach to women's voices, acknowledging their enforced silence while simultaneously amplifying their defiance as a critical element of the Dalit struggle.
The Intersectional Battlefield: Reimagining Dalit Identity, Resistance, and Agency in the Works of Meena Kandasamy
Meena Kandasamy’s corpus represents a crucial intersectional feminist intervention in Dalit literature, moving beyond singular narratives of caste oppression to explore the complex duality of marginalized identity.1 This paper analyzes how Kandasamy meticulously dissects the experiences of Dalit men and women across three key thematic fields. First, it examines the Contradictory Politics of Dalit Masculinity, highlighting its simultaneous function as resistance against caste hegemony and a critical site for the reproduction of internal patriarchal structures. Second, it investigates the Poetics of Trauma and Survival, focusing on the revolutionary mechanisms of memory, testimony, and confession used to dismantle enforced silence. Third, it argues that Kandasamy elevates Anger as Radical Political Resistance, transforming a negative emotion into a strategic, unifying, and moral tool for challenging the double hierarchy of caste and gender.2 The study concludes that Kandasamy’s fearless literary activism is a demand for a holistic liberation that requires the simultaneous condemnation and dismantling of the external caste setup and the internalized gender repression, restructuring the understanding of Dalit identity as a project of radical social justice.
Emotional Intelligence and Psychological Perspectives: An Integrative Review for the Contemporary Era
Emotional Intelligence (EI) has transitioned from a provocative psychological concept to a multidisciplinary field of study with profound implications for understanding the human condition in the 21st century. This paper provides a comprehensive and critical integrative review, dissecting EI through the complementary lenses of psychology and sociology. We begin by meticulously delineating the dominant theoretical models—the ability model, the trait model, and mixed models— and highlighting ongoing psychometric and conceptual debates. The psychological analysis is deepened with a contemporary review of neuroscientific evidence, linking EI to the interplay between the prefrontal cortex, anterior cingulate cortex, and limbic system, and exploring its role as a buffer against psychopathology through the mechanisms of cognitive reappraisal and resilience. From a sociological standpoint, we reframe EI not as an innate trait but as a form of cultural capital, scrutinising its role in social reproduction within educational and corporate institutions in Taiwan. The analysis is extended to the digital realm, examining how Computer-Mediated Communication (CMC) and social media are reshaping the expression and regulation of emotion. Engaging robustly with critical theory, we interrogate the neoliberal co-optation of EI, its potential as a tool for normative control, and the emergence of a "dark side" where emotional skills serve manipulative ends. We conclude that a siloed approach to EI is untenable; its future lies in a holistic, critical, and interdisciplinary paradigm that acknowledges its power at intrapsychic, interpersonal, and institutional levels.