Volume 14 | Issue 4 |

 Abstract

Gamification, is the transformative movement into education that introduces features from game design like rewards, challenges, and feedback, to make learning even better. All these- the engagement, interest, and knowledge retention of the student- are deeply influenced in cases where game-based digital platforms have been applied. Interactive tools and strategies, through gamification, transform traditional learning methods into dynamic and participatory experiences, making education more appealing and impactful for diverse learners. The study analyses whether the gamified learning tools have positive effects on active learning, academic results, and holding the interest of the learners in the long term. Critical elements like leaderboards, badges, storytelling and real-time feedback will be compared to determine if they may really motivate learners and lead to understanding of subject matters more intensely. This paper provides analysis of the possible benefits or challenges that may be connected with gamification in any learning environment by making research into the depth. These findings would find it most useful for researchers, particularly those seeking inputs to make their curriculum designing more effective, policymakers striving to back new and emerging methods of teaching, as well as developers working upon leading edge educational technologies. The research brings the fusion of technology and pedagogy to the forefront underlines that gamification offers great promise in transforming a more interactive, personalized, as well as effective experience from the standpoint of learning as age in digital.

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 Keywords

Gamification, Higher Education, Student Engagement, Retention, Motivation

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Ensuring clean and safe water is vital for human health, environmental balance, and sustainable development. Increasing pollution caused by urbanization, industrial discharge, and agricultural runoff has made water quality monitoring a critical challenge. Traditional assessment techniques rely on manual sampling and laboratory testing, which are often time-consuming, expensive, and unsuitable for continuous monitoring. To address these limitations, this study presents a machine learning-based approach for water quality prediction and classification using physicochemical parameters. The proposed framework utilizes key indicators such as pH, turbidity, temperature, dissolved oxygen, electrical conductivity, and total dissolved solids to evaluate water conditions. Data pre-processing and feature analysis are applied to enhance model reliability, followed by the implementation of supervised learning algorithms for prediction and classification of water samples into safe and unsafe categories. Experimental results demonstrate that the machine learning models achieve accurate and consistent performance, proving their effectiveness over conventional methods. The study highlights the potential of intelligent data-driven systems for real-time water quality monitoring, early pollution detection, and sustainable water resource management.

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 Keywords

Water Quality Monitoring, Machine Learning, Physicochemical Parameters, Prediction and Classification, Environmental Sustainability

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The rapid development of digital technology has revolutionized conventional work into a digitalised one and reshaped the ways in which employees and their workflow are managed by organizations. Flexible working, remote or hybrid models, technology-enabled supervision, AI-based people tools and outcome-based performance management all established themselves as key contributors to organisational efficiency in the modern workplace. Simultaneously, work-life balance has become a key concern because of long hours in front of the screen, blurred lines between working life and personal life and higher work demands. The article explores the contribution of creative management practices to overcoming work-life balance in the digital workplace. The contribution of the study is to explore how empowerment, autonomy and technology-based managerial control affect employees work-family balance. The paper draws on a critical review of existing research, organizational reports and evidence-based literature in relation to digital work culture and employee well-being. The research suggests that companies who embrace employee-led, flexible management are happier at work and less stressed than their counterparts. But it also shines a light on fairness of digital tool usage when it comes to burnout and work saturation. The study highlights that the evolving digital workplace stresses on well-crafted creative management practices to ensure sustainable work-life balance.

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 Keywords

Work-life Balance, digital workplace, remote work, flexible scheduling, technology-enabled management.

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Creative Commons Attribution 4.0 and The Open Definition

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Efficient allocation and utilization of healthcare resources--beds, staff, operating rooms, and medical equipment -- is critical to hospital performance, patient outcomes, and operational cost. Traditional (non-AI) resource management relies on rule-based scheduling, human planning, and queuing heuristics; these methods are robust and interpretable but can struggle with uncertainty, dynamic demand, and scale. Artificial intelligence (AI) approaches--especially predictive analytics and optimization augmented by machine learning--promise improved forecasting, dynamic allocation, and prescriptive recommendations. This paper presents a comparative analysis of healthcare resource management systems with and without AI. We define evaluation metrics (accuracy of demand forecasting, utilization efficiency, waiting-time reduction, robustness to uncertainty, and implementation cost/complexity), synthesize findings from recent literature, and summarize benefits, limitations, and adoption barriers. Our analysis shows AI-enabled systems consistently improve forecasting accuracy and operational efficiency but introduce challenges in integration, data quality, transparency, and clinician trust. We conclude with recommendations for hybrid adoption strategies and directions for future research. (PMC).

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 Keywords

Healthcare management, hospital resource allocation, artificial intelligence, predictive analytics, bed management

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The COVID-19 impacted entire world in order to break destabilization, it changes approaches of organization and personal desires. On one Side, Companies are frequently in process to make sustainable innovation and sustainable digitalization to stand erect in uncertain market. On another side, in case of postgraduate educational motivation and decision making, students confronted with unprecedented difficulties. So in this article analytical focus on the similarity between two fields were discussing in post pandemic world, that how the strategies of innovation and digital competitiveness could be used to educate and motivate resilient education. To bring larger aspects of socio-economic transformation that is brought by crisis, this research connects student motivation and organizational adaptation. The paper uses literature, case studies, and survey findings as inputs to discuss the role of digital tools, online learning ecosystems, and sustainable innovation practices on postgraduate aspirations. It opines that those principles that make organizations competitive (adaptability, resilience, and innovation) apply equally in the case of higher education where students are seeking meaningful, future-driven channels. It indicates that not only increased speedy digital adoption but also remodeled the perceptions of postgraduate education, placing it as an investment in personal competitiveness and societal development. Finally, the paper explains why coordinated strategies are required to make the institutional innovation and student motivation align and both an economy and educational system prosper in a post-COVID world

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 Keywords

Competitiveness, Innovation, Digital Transformation

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Creative Commons Attribution 4.0 and The Open Definition

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This study proposes a human-centric career development model that introduces a student-driven approach to profiling, learning, and career awareness under structured supervision by academic mentors. The model emphasizes active student participation in understanding personal competencies, work styles, and career aspirations. A mixed-method research design with purposive sampling was adopted. The sample comprised 51 postgraduate students from diverse disciplines, including Business, Journalism and Mass Communication, Information Technology, and related fields. Three standardized assessment tools--the RAISEC Test, Emotional Competency Scale (ECS), and Big Five Personality Test--were administered to all participants. Quantitative and qualitative analyses were conducted, followed by individualized feedback reports shared with students. Both the participants and the primary executors of the model evaluated their experiences to assess the model's effectiveness in enhancing self-awareness regarding preferred work styles and potential career paths. Findings indicate that integrating emotional competency, personality traits, and work-style preferences provides a holistic understanding of student outcomes. The proposed model supports informed career decision-making, facilitates aptitude awareness, and addresses student concerns related to career planning. Overall, the model demonstrates potential as an effective framework for student-centered career guidance and developmental interventions in higher education.

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 Keywords

: Career Development, Emotional Competency, Personality, Higher Education, Student Centered Approach

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Srikalahasti Kalamkari; Sustainable Design; Wedding Mandap; Motif Development; Craft Revival; Cultural Heritage; Textile Art; Eco-conscious Design; Spatial Design Integration; Artisan Empowerment._

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Creative Commons Attribution 4.0 and The Open Definition

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This article examines prior studies on job stress and job satisfaction in the pharmaceutical industry as well as other key industry sectors. The review investigates the impact of stress and satisfaction on employee performance, turnover intention, and organizational outcomes, using secondary data from journals and research articles. Research findings consistently show a significant inverse relationship between job stress and job satisfaction. In the pharmaceutical sector, particularly among medical representatives, stress is generated by factors such as sales targets, role ambiguity, long working hours, and performance pressure. Conversely, satisfaction is shaped by compensation, organizational support, and work-life balance. The review pinpoints essential deficiencies, such as dependence on cross-sectional designs, a scarcity of integrated models, and studies with limited geographical scopes. It wraps up by stressing the necessity of thorough, sector-specific studies to gain a deeper insight into stress-satisfaction dynamics and enhance employee well-being and retention

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Medical Representatives, Job stress, job Satisfaction, Pharmaceutical Industry, survey

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Creative Commons Attribution 4.0 and The Open Definition

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Central Bank Digital Currency (CBDC) is a digital form of sovereign money issued by a central bank to serve as legal tender alongside cash. CBDCs are viewed in many emerging and developing economies as a way to expand financial inclusion by lowering transaction costs, easing access to digital payments, and providing a safe, public alternative to cash and privately issued e-money. India has introduced retail and wholesale pilots of the digital rupee (eINR), guided by a detailed concept note and phased testing strategy by the Reserve Bank of India. This review paper examines how CBDC could support financial inclusion in emerging markets, with an emphasis on India. It synthesises international evidence and Indian studies on possible inclusion channels--such as offline use, simplified wallets, and better targeting of government transfers--as well as key risks related to digital divide, literacy, privacy, cybersecurity, and bank funding. It is concluded that CBDC can be a useful complementary tool for inclusion if it is carefully designed, integrated with wider digital public infrastructure, and supported by strong consumer protection and education measures.

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 Keywords

Central Bank Digital Currency (CBDC), Financial inclusion, Digital rupee (eINR), Digital public infrastructure (UPI, Aadhaar, Jan Dhan), Programmable payments and G2P transfers.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Greening growth through technological advances. However, with the world facing long-term challenges like climate change, resource depletion, and socio-economic disparities, technology offers transformative ideas on how to balance success with sustainability. From renewable energy systems and smart infrastructure to artificial intelligence and digital governance, technology plays a crucial role in driving efficiency, reducing the environmental footprint, and fostering inclusive development. This has fostered sustainable development, with a focus on economic, social, and environmental well-being. Complementing these efforts, innovations in smart agriculture, precision farming, and water conservation technologies have enhanced resource-based efficiency, arming communities with the tools needed to preserve food security while upholding environmentally sustainable practices. Digitalization in governance and industries has compressed the decision-making cycle, collectively distributed resources and enabled communities with education, healthcare, and economic opportunities. Additionally, pirated of contexts technologies like blockchain and the Internet of Things (IoT) are transforming supply chain visibility, reducing waste, and facilitating sustainable business practices to transition to a circular economy. This study is to investigate the role emerging technologies play in enabling environmental sustainability and resource efficiency, to study how digital innovations influence socio-economic development and policy implementation, to understand the merits and limitations of using technology for implementing sustainable development frameworks. This research utilizes a qualitative methodology and involves an extensive literature review of journal articles, policy briefs and case studies. Secondary sources are used to collect data, which include reports from global institutions like United Nations and World Bank. Comparative analysis is utilized for analyzing the success of different technological interventions across sectors. Expert views and practical examples are also analyzed to identify best practices and potential approaches towards implementing sustainability through technology. This article discusses the various roles of technology in sustainable development, including some of the major innovations, challenges, and policy suggestions. With the responsible and inclusive use of technology, societies can promote a future that is not only economically successful but also environmentally friendly and socially just, with long-term resilience against global threats.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Sustainable Development, Technology, Renewable Energy, Digital Innovation, Environmental Conservation, Smart Infrastructure, Circular Economy.

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Creative Commons Attribution 4.0 and The Open Definition