Volume 14 | Issue 6 |

 Abstract

River cleaning robots have emerged as an effective solution for reducing floating waste and improving the quality of water bodies affected by increasing pollution. This paper presents the design and implementation of a Solar-Energized Autonomous Robotic Platform for Aquatic Pollution Mitigation. The proposed system is developed to collect floating debris such as plastic bottles, polythene bags, organic waste, and other pollutants from river surfaces with minimal human intervention. A solar energy module powers the robotic platform, ensuring sustainable and environmentally friendly operation while reducing dependence on conventional energy sources. The system integrates a microcontroller, DC motors, motor drivers, ultrasonic sensors, and a waste collection mechanism to enable navigation, obstacle detection, and efficient waste retrieval. Autonomous movement and real-time monitoring capabilities enhance operational efficiency and coverage. The developed platform contributes to cleaner waterways, supports environmental conservation efforts, and minimizes labor-intensive cleaning processes. Experimental evaluation demonstrates reliable performance in waste collection and navigation, highlighting the potential of solar-powered robotic technologies for sustainable aquatic pollution management in diverse water environments.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

River Cleaning Robot, Solar Energy, Aquatic Pollution Mitigation, Autonomous Robotics, Waste Collection System, Water Surface Cleaning, Environmental Monitoring, Sustainable Technology

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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(????????????: ????????, ??????????????????, ????????????????, ???????????????, ?????????????) ?

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The aspiration to shape the health and qualities of offspring predates modern science. Ancient Ayurvedic texts codify Pumsavana Karma, a prenatal sacrament employing herbal preparations, dietary regulation, and ritual practices while contemporary genetic medicine deploys CRISPR-Cas9 and preimplantation genetic diagnosis (PGD) to achieve similar goals through direct embryonic genome manipulation.1,2

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Pumsavana Karma; designer baby; CRISPR-Cas9; preimplantation genetic diagnosis; Ayurveda; genetic engineering; Prenatal care; Epigenetics; Garbha Samskara

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Women fishmongers constitute an indispensable yet highly vulnerable segment of the informal coastal economy in urban India. Operating primarily within competitive, perishable retail structures, these women face elongated working hours, unpredictable income streams, and strenuous physical conditions. Consequently, managing a healthy equilibrium between professional demands and domestic obligations poses a critical structural challenge. This study presents an empirical investigation into the socio-economic determinants, structural challenges, and familial realities shaping the work-life balance of women fishmongers across major fish markets in Mangalore city. Utilizing a structured sampling design, primary data was collected from active retail fish vendors through questionnaires and field interviews, supplemented by secondary literature reviews. The empirical results reveal that severe infrastructural constraints, minimal social security measures, and rigid patriarchal expectations significantly exacerbate work-life conflict, directly affecting their physical well-being and domestic stability. Conversely, family-driven support structures and localized community networks offer vital resilience mechanisms. The study concludes with actionable, targeted structural and policy recommendations aimed at building safer market environments, establishing microfinance security nets, and deploying formal welfare architectures to improve the socio-economic status of these working women.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Work-Life Balance, Women Fishmongers, Informal Economy, Coastal Management, Socio-Economic Strain, Support Systems.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The 2023-2025 Gaza crisis has been a watershed moment for the politics of representation of genocide. Where states and institutions wobbled, social media has emerged as the primary site of global witnessing, resistance, and contestation of narratives. This short communication charts the contours of how algorithmically shaped visibility, user-led content creation, and digital activism have reshaped the discourse on genocide in Gaza. It contends that the traditional forms of accountability have been replaced with what we refer to here as 'algorithmic witnessing'--a politically and morally decentralized phenomenon wherein visibility outpaces legal legitimacy. Via a combination of relevant digital data, platform policy analysis and dissent diffusion, the paper offers a general account of the limited but transformative power of social media in countering the violence of the state.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Gaza crisis; genocide representation; algorithmic witnessing; social media activism; digital witnessing;

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Creative Commons Attribution 4.0 and The Open Definition

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Artificial Intelligence (AI) has greatly changed recruitment by making the process faster, more accurate, and better at decision-making in hiring. Companies from various sectors are increasingly using AI tools like resume screening systems, chatbots, predictive analytics, and automated interview platforms. These tools help simplify hiring activities. This study looks at AI's impact on modern recruitment and its effects on efficiency, candidate experience, hiring quality, and overall organizational performance. The global recruitment industry has rapidly embraced digital changes since the COVID-19 pandemic. Organizations are moving toward technology-based hiring practices. Recent reports show that about 75% of recruiters worldwide now use AI software for candidate screening and talent acquisition. In India, the market for recruitment technology is growing quickly due to more digital practices, remote hiring, and rising demand for skilled workers. Major firms like Tata Consultancy Services (TCS), Infosys, Wipro, Amazon, and Accenture have adopted AI tools in their recruitment systems to improve results. AI recruitment systems help organizations shorten hiring times, remove repetitive tasks, and find suitable candidates through data analysis. Tools like Applicant Tracking Systems (ATS), machine learning algorithms, and natural language processing allow recruiters to sift through large numbers of applications efficiently. Furthermore, AI chatbots improve candidate engagement by offering quick answers and personalized communication during the recruitment process. Though AI has its benefits, it also raises issues about bias in algorithms, data privacy, reduced human interaction, and excessive reliance on automation. The study points out that while AI speeds up recruitment and boosts operational efficiency, human judgment is still crucial for assessing soft skills, emotional intelligence, and cultural fit. The research uses a descriptive and analytical design with primary data gathered from structured questionnaires filled out by HR professionals, recruiters, and job applicants. The findings show that AI significantly improves recruitment efficiency, lowers costs, enhances the accuracy of candidate screening, and leads to better hiring decisions. However, ethical issues and technology limitations continue to pose challenges for its implementation. The study concludes that AI is redefining the future of recruitment by establishing more efficient and data-oriented hiring systems. Organizations that successfully merge AI capabilities with human expertise are more likely to gain a lasting competitive edge in talent acquisition and workforce management.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial Intelligent, Automation, Recruitment, Talent Management.

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Creative Commons Attribution 4.0 and The Open Definition

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Religious tourism is an important and continuous segment of travel in Andhra Pradesh because it links faith, culture, local mobility, community livelihoods and public infrastructure. This study examines the socio-economic contribution of religious tourism in Andhra Pradesh with special focus on Tirumala Tirupati Devasthanam, Srisailam Temple and Vijayawada Kanaka Durga Temple. A descriptive and analytical research design was adopted by using both primary and secondary data. Primary data were collected through a structured questionnaire from 174 respondents, including pilgrims, local residents and service providers. Secondary information was compiled from the Ministry of Tourism, Government of India, official temple websites, tourism statistics and relevant published sources. Percentage analysis, weighted mean score, expenditure estimation, district-wise tourist visit comparison and a one-sample proportion z-test were used for interpretation. The findings show that religious tourism contributes to employment generation, local business activity, accommodation services, transport, prasadam and food services, shopping, cultural practices and infrastructure development. The primary survey indicates that 66.09 per cent of respondents agreed or strongly agreed that religious tourism creates employment and income opportunities for local people. At the same time, crowding, waiting time, accommodation shortage, high prices and language-related difficulties remain major concerns. The study concludes that religious tourism can become a stronger tool of inclusive and sustainable development when temple administration, local bodies and tourism departments coordinate sanitation, digital services, skill development, crowd management and responsible destination planning.

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Creative Commons Attribution 4.0 and The Open Definition

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Religious Tourism; Pilgrimage Tourism; Socio-Economic Development; Andhra Pradesh; Tirumala Tirupati Devasthanam; Srisailam Temple; Kanaka Durga Temple.

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Creative Commons Attribution 4.0 and The Open Definition

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Artificial Intelligence (AI) has emerged as a transformative force in contemporary organizations, fundamentally reshaping business processes, workforce practices, and operational strategies. The increasing integration of AI technologies, including machine learning, intelligent automation, predictive analytics, and data-driven decision-support systems, has significantly influenced how organizations manage resources, improve productivity, and achieve competitive advantage. Within India's rapidly expanding information technology sector, Pune has evolved as a major technology hub where organizations are actively investing in AI-driven solutions to enhance performance and operational effectiveness. The present study seeks to examine the impact of AI adoption on employee performance and organisational efficiency in the IT industries of Pune. While existing literature highlights the strategic benefits of AI, there remains limited empirical evidence regarding its measurable influence on workforce productivity and organizational outcomes within specific regional contexts. This research addresses this gap by investigating the extent to which AI adoption contributes to employee productivity, task efficiency, work quality, decision-making capability, and overall organizational effectiveness. The study adopts a mixed-methods research design that integrates quantitative and qualitative approaches. Quantitative data will be collected through structured questionnaires administered to employees and managers across selected IT organizations in Pune. Qualitative insights will be obtained through semi-structured interviews with industry professionals and organizational leaders. An AI Adoption Index will be developed to assess the degree of AI implementation based on factors such as automation intensity, AI tool integration, and organizational investment in AI technologies. Employee performance will be evaluated through indicators including productivity rate and task completion efficiency, while organizational efficiency will be measured using operational parameters such as process turnaround time, cost optimization, and resource utilization. Advanced statistical techniques, including correlation, regression, and mediation analysis, will be employed to examine the relationships among AI adoption, employee performance, and organizational efficiency. The study will also explore whether employee performance serves as a mediating factor between AI implementation and organizational outcomes. Furthermore, qualitative findings will provide deeper insights into employee perceptions, challenges, opportunities, and organizational readiness associated with AI adoption. The anticipated findings are expected to contribute to both academic and managerial knowledge by offering empirical evidence on the effectiveness of AI in enhancing organizational performance. The research will provide valuable recommendations for IT organizations, policymakers, and human resource professionals regarding sustainable AI integration, workforce development, and strategic decision-making. By focusing on Pune's IT ecosystem, the study will generate region-specific insights that can support organizations in maximizing the benefits of AI while addressing challenges related to employee adaptation, skill development, and organizational transformation. Ultimately, the research aims to advance understanding of how AI can be leveraged to achieve improved employee performance and greater organizational efficiency in a rapidly evolving digital environment.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Artificial Intelligence, Employee Performance, Organisational Efficiency, IT Industry, Pune, AI Adoption, Productivity, Digital Transformation, Human Resource Management, Organizational Performance.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Without Resources an organisation is incomplete. An organisation is composed of four resources namely men, material, money and machinery. These 4 resources play a very important role in every organisation. From these 4 resources one is living i.e human being and others are non living. Without human beings no organisation can achieve their target. The organisation cannot achieve their goal without human beings effort. Hence, human beings are most significant asset of every organisation. Human resources are nothing but all the people ranging from lower level management to upper level management. In every organisation there are talented, intelligent, motivated, hardworking, sincere workforces who represent brand value for every organisation. Therefore we can say that they are the real asset of an organisation. Health sector is one of the most challenging sectors of our country. The shortage of human resources in health sector may cause to death. The scarcity of qualified person in health sector is a very big problem in Orissa. In Orissa there is less no of qualified health workers in rural areas. There is more absenteeism of health workers especially in rural areas in Orissa.

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Creative Commons Attribution 4.0 and The Open Definition

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Human resources, Brand value, Asset, Workforce, Health care, Absenteeism

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Creative Commons Attribution 4.0 and The Open Definition

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Inclusive education succeeds when teaching adapts to the learner rather than expecting the learner to adapt the system. By creating responsive and learner centered classrooms, schools can create responsible citizens. There is dire need to make the teaching and learning more interesting and involving .It is the responsibility of the educators to bring about innovative styles of teaching in order to reduce the dropout rates . Moreover, there should be a blend of traditional and modern teaching strategies so that educators can promote inclusivity in the classroom. This study has been divided into three sections. Section I deals with the introduction stating the need of adaptive steps for better dissemination of knowledge. Section II states the different strategies and techniques to make teaching and learning more interactive, exciting and involving. Section III states the conclusion and future prospectus of the study

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

KeyWords: Inclusive Education, Dropout rates, Innovative styles,Educators, Adaptive

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Creative Commons Attribution 4.0 and The Open Definition