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                <text>The edge incident 2-edge coloring of a graph G is an edge coloring of the graph G such that not more than two colors are assigned to the edges incident to an edge e = uv in G. In other words, for every edge e in G, the edge e and all the edges that are incident to the edge e is in at most two different color classes. The edge incident 2-edge coloring number ?n2(G) is the maximum number of colors in any edge incident 2-edge coloring of G. The main objective of this paper is to study the edge incident 2-edge coloring concept and apply the same to some graph classes. Besides finding the exact values of these parameters, we also obtain some bounds.  World Scientific Publishing Company.</text>
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                <text>The edge incident 2-edge coloring number, ?ein2(G), of a graph G is the highest coloring number used in an edge coloring of a graph G such that the edges incident to an edge e = uv in G is colored with at most two distinct colors. The edge incident 2-edge coloring sum of a graph G, denoted as (Formula presented.), is the greatest sum among all the edge incident 2-edge coloring of graph G which receives maximum ?ein2(G) colors. The main objective of this paper is to study the edge incident 2-edge coloring sum of graphs and find the exact values of this parameter for some known graphs.  I??k University, Department of Mathematics, 2025; all rights reserved.</text>
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                <text>Joseph A., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, India; Dominic C., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, India, Department of Mathematical Sciences, University of Essex, Essex, Colchester, CO4 3SQ, United Kingdom</text>
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                <text>The effects of COVID-19 vary from person to person. A pandemic is devastating economically and socially. Thousands of enterprises face the possibility of collapse. More than half of the world's 3.3 billion workers may lose their livelihoods if the current crisis continues. The world's healthcare services are facing an unprecedented situation due to the recent outbreak of a novel coronavirus (COVID-19). Community and government health are adversely affected by the COVID-19 pandemic. COVID-19 has continued to spread, and mortalities have risen steadily. The spread of this disease can therefore be controlled utilizing nonpharmacological methods, such as quarantine, isolation, and public health education. Recent breakthroughs in deep learning (DL) have led to an explosion in applications and services relating to artificial intelligence (AI). The rapid advancements in mobile computing and AI have enabled zillions of Bytes of data to be generated at the network edge from thousands of mobile devices and internet of things (IoT) devices connected to the Internet. As a result of the success of IoT and AI technologies, it is of utmost importance that we expand the AI frontiers to the network edge in order for big data to be fully tapped. Edge computing (EC) can help overcome this trend because it allows computation-intensive AI applications to run on edge hardware. The topic of discussion in this chapter is edge intelligence (EI) technology's application in limiting virus spread during pandemics.  2024 Apple Academic Press, Inc. All rights reserved.</text>
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                <text>Nanjundan P., Department of Data Science, Christ University, Lavasa, Pune, Maharashtra, India; George J.P., Department of Data Science, Christ University, Lavasa, Pune, Maharashtra, India; Karpagam C., Department of Computer Science with Data Analytics, Dr. N.G.P. Arts and Science College, Tamil Nadu, India</text>
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                <text>Pandareesh M.D., Department of Biochemistry, Adichunchanagiri School of Natural Sciences, Center for Research and Innovation, Adichunchanagiri University, Mandya, India, Adichunchanagiri Institute of Medical Sciences, Adichunchanagiri University, Mandya, India; Babu M.R., Department of Psychology, Christ (Deemed to be University), Bangalore, India; Vijayalakshmi K., Department of Neurophysiology, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bangalore, India; Titus D.J., Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minnesota, MN, United States</text>
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                <text>Motivated by the pivotal role of routing in Wireless Sensor Networks (WSNs) and the prevalent security vulnerabilities arising from existing protocols, this research tackles the inherent challenges of securing WSNs. Many current WSN routing protocols prioritize computational efficiency but lack robust security measures, making them susceptible to exploitation by malicious actors. The prevalence of reactive protocols, chosen for their lower bandwidth consumption, exacerbates security concerns, as proactive alternatives require more resources for maintaining network routes. Additionally, the ad hoc nature and energy constraints of WSNs render conventional security models designed for wired and wireless networks unsuitable. In response to these limitations, this paper introduces the Secured Energy-Efficient Opportunistic Routing Scheme for Sustainable WSNs (EDSSR). EDSSR is designed to enhance security in WSNs by continuously updating neighbor information and validating the legitimacy of standard routing parameters. Critically, the protocol is power-aware, recognizing the vital importance of energy considerations in the constrained environment of WSNs. To assess the efficacy of EDSSR in mitigating WSN vulnerabilities, simulation experiments were conducted, evaluating the protocols performance on key metrics such as throughput, average End-to-End delay (delay), energy consumption (EC), network lifetime (alive nodes), and malware detection rate. The results demonstrate that the EDSSR protocol significantly improves performance. It shows substantial gains in sum goodput relative to throughput, average delay, EC, and alive nodes. Specifically, the EDSSR protocol is 23% faster than DLAMD and 1013% faster than EEFCR. Additionally, the malware detection rate increases by 23%.  The Author(s) 2024.</text>
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                <text>Yang R., FESCO Adecco, Shanghai, 200000, China; Patil M.A., Department of Computer Science and Engineering, Christ (Deemed to be University) School of Engineering and Technology, Kengeri, Karnataka, Bengaluru, 560074, India, Department of Computer Science and Engineering, G. Narayanamma Institute of Technology and Science, Shaikpet, Telangana, Hyderabad, 500104, India; Narayana P., Stanley College of Engineering and Technology for Women, Hyderabad, Abids, India; Jayaram D., Department of Information Technology, Chaitanya Bharathi Institute of Technology (A), Hyderabad, Gandipet, 500075, India; Keerthi K., Methodist College of Engineering and Technology, Hyderabad, Abids, India; SudhakarYadav N., Department of Information Technology, Chaitanya Bharathi Institute of Technology (A), Hyderabad, Gandipet, 500075, India; Chithaluru P., Department of Information Technology, Mahatma Gandhi Institute of Technology, Telangana, 500075, India; Kumar S., Department of Computer Engineering and Applications, GLA University, Mathura, India, Department of Computer Science, Graphic Era Hill University, Dehradun, 248001, India; Elminaam D.S.A., Faculty of Computers and Artificial Intelligence, Benha University, Banha, Egypt, Jadara Research Center, Jadara University, Irbid, 21110, Jordan; Alsekait D.M., Department of Computer Science, Applied College, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia</text>
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                <text>The rapid advancement of Education Technology (EdTech) offers promising opportunities for educational institutions to integrate sustainable business practices into their operations and curriculum. The integration of EdTech into sustainability education has emerged as a powerful tool to promote environmental awareness, foster sustainable behavior, and address the pressing challenges of climate change and resource depletion. This chapter explores the growing significance of EdTech in sustainability education, analyzing its potential to cultivate a generation of environmentally conscious and responsible global citizens. It also aims at identifying and examining the most prominent emerging EdTech tools specifically designed to promote sustainability in educational settings. Furthermore, it aims to comprehend the institutional elements that have successfully incorporated and expanded the utilization of EdTech tools to promote enduring business practices. Additionally, the chapter addresses the challenges and obstacles faced by educational institutions in adopting and implementing these technologies and propose strategies to overcome these barriers.  2024 Allam Hamdan. All rights reserved.</text>
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                <text>     India is passing through the crucial phase of demographic transition wherein a majority of its population is in the working age, giving India a never before opportunity to cash in on a huge demographic dividend. This brings spotlight on the human capital benefits that can accrue as a result of this phase with 54% of Indias 1.2 billion population under the age of 25. It is highly imperative for India to cash in on this critical phase through the creation and capitalization of knowledge, competency and the skill base of its people or the Human Capital and pave the way for faster economic growth and development of its economy.

     The study takes in to consideration the Information Technology industry, wherein Indias prowess has been widely celebrated with Indian software engineers doing exceedingly well and there has been an apparent unstoppable outflow of jobs to India from U.S and Europe. India has become the undisputed global hub for outsourcing and technology mediated work. This has been possible primarily because of the rich pool of technically proficient English speaking workforce with superior logical and reasoning skills. One of the prime reasons for this has been the vast network of academic infrastructure in India churning out more than 500,000 technical graduates annually (NASSCOM, 2012). But multiple surveys by NASSCOM and CII have shown severe gap between employment and employability of technical graduates with only 25% of technical graduates suitable for employment, the rest lacking in skills which the industry wants.

     In order to solve this paradox, the study was initiated to examine the skill requirements of new recruits in the IT sector. It aims at bringing about the differences, if any between the perception of academia and the industry on the importance of specific skill sets for new IT recruits. The study also explores if there is any disconnect between what the industry perceives to be the available skill sets among the new IT recruits and what the academia perceives to have imparted in terms of those skill sets to their students. In order to capture the perception of the academia and the industry, the study takes in to account their responses on a five-point likert scale on the desired level and actual level of proficiency of new IT recruits on technical, business, interpersonal and management skills. The study found that there were significant differences in the perception of IT Managers and Academicians on the desired level of proficiency of new IT recruits in 4 out of 7 skill sets analyzed, which were Interpersonal and Management Skills, Emerging Technologies Skills, IT Infrastructure Skills and Critical Thinking and Problem Solving Skills. IT Managers and Academicians differed in their views on the actual level of proficiency of new IT recruits too, as significant differences were found in their responses to 5 out of the 7 skill sets which were Interpersonal and Management Skills, Emerging Technologies Skills, Technical Management Skills, IT Infrastructure Skills and Critical Thinking and Problem Solving Skills. It surely does call for an active and productive partnership between the industry and the academia through meaningful communication, coordination and rigorous steps to bridge the gap and eventually to sustain and strengthen the inherent advantage that India has in the field of Information Technology.  

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                <text>Arguments for the expansion of formal schooling have long focused on individual outcomes from schooling, including increasing income, reducing poverty, delaying marriage, and improving health, particularly for girls and women. For nearly three decades now, global education agendas have supported girls education in an effort to achieve these outcomes. A large body of research analyzes girls individual empowerment from schooling, but less attention is given to how schooling is creating change in families and communities, particularly for lowered-caste girls in India. This article places longitudinal data from a three-year qualitative interview study of schoolgirls in Rajasthan alongside qualitative life-history interviews of girls who completed secondary school in Uttarakhand to understand how schooling affects social changes for lower castes. The analysis, using an intersectional and relational approach, illustrates how girls schooling shifts kin and caste relations connected to marriage and work but in ways that do not transform the stickiness of caste and gender norms. We argue that educational policies and programs must attend to the ways in which caste is implicated in achieving outcomes of delayed marriage and formal employment for lowered-caste girls in Indian communities if schooling is to create positive social change.  2020 by The Author(s).</text>
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                <text>Dejaeghere J., University of Minnesota, United States; Arur A.A., Department of Psychology, CHRIST (Deemed to be University, India</text>
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                <text>Education Inequality in India: An Empirical Analysis Using National Sample Survey Data</text>
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                <text>This research examines the ruralurban differences in educational inequality of major states in India. Using National Sample Survey Office (NSSO) data and decomposition methods, this study finds that overall educational inequality has come down but still very high in rural areas. We found that factors such as limited access to higher education, financial constraints and social factors are responsible for the high inequality in rural areas. This study highlights the need for government intervention to enhance educational access by increasing institutions and providing financial aid. It also notes that non-financial barriers like English proficiency further exclude lower socio-economic groups. Hence, we argue for inclusive education policies to improve the existing situation.  2024 Institute for Human Development.</text>
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                <text>Indian Journal of Human Development, Vol-18, No. 2, pp. 267-279.</text>
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                <text>&lt;a href="https://doi.org/10.1177/09737030241280145" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1177/09737030241280145&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85209228040&amp;amp;doi=10.1177%2F09737030241280145&amp;amp;partnerID=40&amp;amp;md5=d46d1302b1a7e29853d7b30561586f6f" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85209228040&amp;amp;doi=10.1177%2f09737030241280145&amp;amp;partnerID=40&amp;amp;md5=d46d1302b1a7e29853d7b30561586f6f&lt;/a&gt;</text>
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                <text>Aneesh M.R., CHRIST University, Karnataka, Bengaluru, India; Maya K., CHRIST University, Karnataka, Bengaluru, India; Aneesh K.A., CHRIST University, Ghaziabad Campus, Uttar Pradesh, India</text>
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                <text>Education suffering within structural inequalities: A Critical Discourse Analysis of a policy framework</text>
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                <text>Critical Discourse Analysis; Political Economy; Public Policy Research; Samagra Shiksha Abhiyan (SAMSA); Structural inequalities</text>
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                <text>Education acts as an important catalyst for socioeconomic and democratic evolution in society and is a critical tool for building an equitable system. In our paper, we have historicized one of the most important educational policies, viz. Samagra Shiksha Abhiyan (SAMSA) in India that carries large expectations to minimize the educational divide. We have studied the policy through the lens of Political Economy and have further critiqued it through the framework of Critical Discourse Analysis. We find in our paper that the budget allocated to SAMSA was revised in 2022, from its preceding years with a 28 per cent slash. We critically reflect on the principles mentioned in the policy and find that although there has been an attempt to mitigate the hazards of banking education the Public-Private Partnership initiative reinforces struggles for equitable education, and further, the privatization sets the government free from any accountability. Moreover, a constitutional right like the Right to Education (RTE) is not sufficient enough to meet the goals of universalisation of education. Besides, we analyse the principles such as Education for All, Equity, Equal Opportunity, Access, Gender Concern, Centrality of teacher, Moral Compulsion, and Convergent and integrated system of education management, and argue that although some of the facets of societal structural inequalities are addressed, however, there exists hardly a proper roadmap that could be monitoring the process of creating an inclusive educational paradigm.  2023, Institute for Education Policy Studies. All rights reserved.</text>
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                <text>Khandal U.; Das S.; Gaur R.</text>
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                <text>Journal for Critical Education Policy Studies, Vol-20, No. 3, pp. 243-285.</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146779522&amp;amp;partnerID=40&amp;amp;md5=9c844d62c79e31c19a6d3a9931acc54e" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146779522&amp;amp;partnerID=40&amp;amp;md5=9c844d62c79e31c19a6d3a9931acc54e&lt;/a&gt;</text>
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                <text>ISSN: 20510969</text>
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                <text>Khandal U., Manipal University Jaipur, Rajasthan Off Jaipur-Ajmer Expressway, Jaipur, 303007, India; Das S., Deemed to be University, Department of Media Studies Christ, Dharmaram College Post, Hosur Road, Bengaluru, 560029, India; Gaur R., Manipal University Jaipur, Rajasthan Off Jaipur-Ajmer Expressway, Jaipur, 303007, India</text>
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