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                <text>A survey of the studies on Gallai and anti-Gallai graphs</text>
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                <text>Anti-Gallai graphs; Cograph; Gallai graphs; Gallai-mortal graph; Irreducibility; Line graphs; Simplicial complex; Total graph</text>
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                <text>The Gallai graph and the anti-Gallai graph of a graph G are edge disjoint spanning subgraphs of the line graph L(G). The vertices in the Gallai graph are adjacent if two of the end vertices of the corresponding edges in G coincide and the other two end vertices are nonadjacent in G. The anti-Gallai graph of G is the complement of its Gallai graph in L(G). Attributed to Gallai (1967), the study of these graphs got prominence with the work of Sun (1991) and Le (1996). This is a survey of the studies conducted so far on Gallai and anti-Gallai of graphs and their associated properties.  2021 Azarbaijan Shahid Madani University.</text>
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                <text>Poovathingal A.; Kureethara J.V.; Deepthy D.</text>
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                <text>Communications in Combinatorics and Optimization, Vol-6, No. 1, pp. 93-112.</text>
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                <text>&lt;a href="https://doi.org/10.22049/CCO.2020.26877.1155" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.22049/CCO.2020.26877.1155&lt;/a&gt;
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                <text>ISSN: 25382128</text>
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                <text>Poovathingal A., Department of Mathematics, Christ University, Bengaluru, India; Kureethara J.V., Department of Mathematics, Christ University, Bengaluru, India; Deepthy D., Department of Mathematics, GITAM University, Bengaluru, India</text>
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                <text>Morphological and Elemental Investigations on CoFeBO Thin Films Deposited by Pulsed Laser Deposition for Alkaline Water Oxidation: Charge Exchange Efficiency as the Prevailing Factor in Comparison with the Adsorption Process</text>
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                <text>Coatings; Electrocatalysis; Hierarchical; Nanostructured; Water oxidation</text>
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                <text>Abstract: Mixed transition-metals oxide electrocatalysts have shown huge potential for electrochemical water oxidation due to their earth abundance, low cost and excellent electrocatalytic activity. Here we present CoFeBO coatings as oxygen evolution catalyst synthesized by Pulsed Laser Deposition (PLD) which provided flexibility to investigate the effect of morphology and structural transformation on the catalytic activity. As an unusual behaviour, nanomorphology of 3D-urchin-like particles assembled with crystallized CoFe2O4 nanowires, acquiring high surface area, displayed inferior performance as compared to coreshell particles with partially crystalline shell containing boron. The best electrochemical activity towards water oxidation in alkaline medium with an overpotential of 315 mV at 10 mA/cm2 along with a Tafel slope of 31.5 mV/dec was recorded with coreshell particle morphology. Systematic comparison with control samples highlighted the role of all the elements, with Co being the active element, boron prevents the complete oxidation of Co to form Co3+ active species (CoOOH), while Fe assists in reducing Co3+ to Co2+ so that these species are regenerated in the successive cycles. Thorough observation of results also indicates that the activity of the active sites play a dominating role in determining the performance of the electrocatalyst over the number of adsorption sites. The synthesized CoFeBO coatings displayed good stability and recyclability thereby showcasing potential for industrial applications. Graphic Abstract: [Figure not available: see fulltext.]  2021, The Author(s).</text>
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                <text>Popat Y.; Orlandi M.; Gupta S.; Bazzanella N.; Pillai S.; Patel M.K.; Miotello A.; Patel N.</text>
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                <text>Catalysis Letters, Vol-152, No. 2, pp. 438-451.</text>
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                <text>Springer</text>
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                <text>&lt;a href="https://doi.org/10.1007/s10562-021-03642-4" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/s10562-021-03642-4&lt;/a&gt;
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              <elementText elementTextId="109434">
                <text>All Open Access; Hybrid Gold Open Access</text>
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                <text>ISSN: 1011372X; CODEN: CALEE</text>
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                <text>English</text>
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                <text>Article</text>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <elementText elementTextId="109439">
                <text>Popat Y., Department of Physics, Universitdegli Studi di Trento, Trento, Povo, 38123, Italy; Orlandi M., Department of Physics, Universitdegli Studi di Trento, Trento, Povo, 38123, Italy; Gupta S., School of Engineering, University of Liverpool, Liverpool, L69 3GH, United Kingdom; Bazzanella N., Department of Physics, Universitdegli Studi di Trento, Trento, Povo, 38123, Italy; Pillai S., Materials Science and Technology Division, CSIR-National Institute for Interdisciplinary Science and Technology, Thiruvananthapuram, 695019, India; Patel M.K., School of Engineering, University of Liverpool, Liverpool, L69 3GH, United Kingdom; Miotello A., Department of Physics, Universitdegli Studi di Trento, Trento, Povo, 38123, Italy; Patel N., Department of Physics and Electronics, Christ University, Karnataka, Bengaluru, 560029, India</text>
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            <description>A name given to the resource</description>
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                <text>A new algorithm with its randomness and effectiveness against statistical tests in data encryption</text>
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          <element elementId="49">
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            <description>The topic of the resource</description>
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                <text>Chi-square test; Cryptography; Decryption; Encryption; Gaps test; Non-deterministic random numbers</text>
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                <text>In the world where security is one of the main concern, we are still not able to make our data secure. Privacy is one of the major concerns in todays world, where all the organization are dealing with data leak problem, data theft, data intrusion. We came up with a mathematical model to encrypt and decrypt data securely. In this paper we have came up with a technique to encrypt and decrypt data using non-deterministic random numbers and generating two cipher text for each data unit (character) and verified the randomness of our cipher text using chi-square test, Gaps test.  IJSTR 2020.</text>
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                <text>Poptani S.; Tiwari M.K.; Krishna A.V.N.</text>
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              <elementText elementTextId="125189">
                <text>International Journal of Scientific and Technology Research, Vol-9, No. 2, pp. 6185-6187.</text>
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              <elementText elementTextId="125190">
                <text>International Journal of Scientific and Technology Research</text>
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                <text>2020-01-01</text>
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                <text>ISSN: 22778616</text>
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                <text>English</text>
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                <text>Poptani S., Faculty of Engineering, CHRIST (Deemed to be University), Bengaluru, India; Tiwari M.K., Faculty of Engineering, CHRIST (Deemed to be University), Bengaluru, India; Krishna A.V.N., Faculty of Engineering, CHRIST (Deemed to be University), Bengaluru, India</text>
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                <text>Counseling and Psychotherapy in India: Radha's Story</text>
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                <text>Ancient Indian healing practices; Counseling; Depression therapy; India; Infertility treatment; Pranayama; Preventive coping practices; Psychological distress; Psychotherapy</text>
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                <text>This chapter discusses the case of Radha, who presented with depression and infertility. The focus of counseling was to alleviate Radha's psychological distress, help her redefine her identity, and explore alternatives to infertility in the individual and marital context. The counselor's suggestion to use traditional healing practices, especially Pranayama, greatly helped the client, as she used these practices as for preventive coping. Handling the sensitive issue of infertility was challenging for the counselor, especially dealing with the ingrained cultural resistance to infertility and the client's value system that contributed to her own psychological state. Classical approaches to counseling and psychotherapy are indeed useful but require contextualization and an understanding of eclectic practice. Along with eclectic practice, integration of alternative systems of care, such as traditional healing practices, is seen as essential in the practice of counseling and psychotherapy in India.  2015 by the American Counseling Association. All rights reserved.</text>
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                <text>Legal and Bioethical View of Educational Sectors and Industrial Areas of 3D Bioprinting</text>
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                <text>Recent advancements in three-dimensional printing (3D printing) within the medical field, particularly in the realm of 3D bioprinting, have shown tremendous potential in transforming various medical therapies, offering new approaches to treat organ failure and injury. However, amidst this optimism, several significant ethical and legal challenges remain unresolved before the application and transplantation of 3D bioprinted technology and organs in human subjects can become a reality. This chapter focuses on exploring the ethical and legal constraints associated with 3D bioprinting technology from both educational and industrial perspectives, recognizing their crucial roles as cornerstones for future applications. Furthermore, the analysis of 3D bioprinting technology will be conducted through the lens of the fundamental medical ethics principle, Primum non nocere; First, do no harm. Moreover, the pressing need for effective and timely standalone laws to regulate the subject of 3D printing is emphasized. This urgency arises from the grave concerns posed by the future implications of this technology on Indias scientific research and medical practice. The aim of this paper is to provide a comprehensive examination of the ethical and legal challenges posed by 3D bioprinting technology. By considering both educational and industrial perspectives, this research seeks to shed light on the complexities surrounding the application and transplantation of 3D bioprinted organs. Additionally, the analysis through the principle of Primum non nocere will contribute to the understanding of the ethical implications inherent in this innovative technology. Ultimately, this study advocates for the formulation of appropriate regulations and guidelines through the implementation of effective standalone laws, ensuring the responsible development and utilization of 3D printing technology in the realm of scientific research and medical practice in India.  2024 Scrivener Publishing LLC.</text>
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                <text>Pothys varan S.; Balachander S.; Ashwini S.</text>
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                <text>Computational Intelligence in Bioprinting, pp. 127-155.</text>
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                <text>Pothys varan S., School of Law, Christ (Deemed to be University), Karnataka, Bengaluru, India; Balachander S., Department of Computing Science &amp;amp; Engineering, SRM Institute of Science and Technology, Tamil Nadu, Chennai, India; Ashwini S., Department of Computing Science &amp;amp; Engineering, SRM Institute of Science and Technology, Tamil Nadu, Chennai, India</text>
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                <text>ELCCFD: An Efficient and Enhanced Credit Card Fraud Detection using Enhanced Deep Learning Principle</text>
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                <text>Credit Card Fraud Detection; Deep Learning AlexNet; Enhanced Learning for Credit Card Fraud Detection (ELCCFD); GBM</text>
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                <text>Credit card fraud poses a serious threat to financial institutions and their customers; hence, stringent detection protocols are necessary. This study introduces an approach known as Enhanced Learning for Credit Card Fraud Detection (ELCCFD) to enhance the accuracy of credit card fraud detection. To improve the fraud detection process, the proposed method combines the strengths of Convolutional Neural Networks (CNNs), AlexNet architecture, and Gradient Boosting Machines (GBM). The proposed approach begins with cleaning up the credit card data to get useful features, then trains a Convolutional Neural Network (CNN) using AlexNet to figure out complex patterns and representations on its own. This study generates a complete set of features by merging the CNN's output with features generated using GBM. The final model is trained by using a combination of deep learning and other conventional machine learning techniques to achieve the best results. Experimental findings on benchmark datasets demonstrate the effectiveness of the ELCCFD methodology, achieving an accuracy rate of 98%. This study combines AlexNet with GBM to get a model to capture the complex patterns and is easier to understand with the feature importance analysis. With its strong accuracy and reliability, the proposed methodology offers a strong option to fight credit card fraud, and it shows the potential for actual use in financial systems.   2024 IEEE.</text>
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                <text>Potluri P.; Suneel S.; Chandra B.; Muthukumaran D.; Upadhyaya M.; Rajesh Kanna R.</text>
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                <text>Proceedings - 2024 5th International Conference on Image Processing and Capsule Networks, ICIPCN 2024, pp. 337-343.</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>&lt;a href="https://doi.org/10.1109/ICIPCN63822.2024.00062" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICIPCN63822.2024.00062&lt;/a&gt;
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                <text>ISBN: 979-835036717-1</text>
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                <text>Potluri P., Sitarampuram Narsapuram West Godavari district, department of CSE Swarnandhra college of engineering and technology, 534275, India; Suneel S., Institute of Aeronautical Engineering, Department of CSE(Data Science), Telangana, Hyderabad, India; Chandra B., Vignan's Institute of Information Technology(A), Department of Management Studies, AP, India; Muthukumaran D., Vel Tech Rangarajan Dr. Sagunthala, R&amp;amp;D Institute of Science and Technology, India; Upadhyaya M., University of Bahrain, College of Business Administration, Dept. of Management &amp;amp; Marketing, Bahrain; Rajesh Kanna R., CHRIST (Deemed to be University), Department of Computer Science, India</text>
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                <text>A Systematic Review of AI Privileges to Combat Widen Threat of Flavivirus</text>
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                <text>In order to prevent the extraordinary spread of sickness caused by Flavivirus, the healthcare business as well as public health are working tirelessly. Individual lives have been affected, but mosquito-infested public locations have made a considerable influence on the general publics health. Site adaptability, climate change, and inadequate healthcare services and surveillance all contribute to the spread of the virus. The potential dangers of this virus, on the other hand, have been uncovered through extensive and ongoing research in the healthcare business. Modern healthcare facilities may benefit from the reasoning capabilities and ever-evolving analysis techniques provided by artificial intelligence. More conclusive findings have been demonstrated in the realm of AI applications in healthcare domains such as cancer, neurology, and cardiology. A number of research works have justified the use of AI-oriented algorithms for intelligently handling unstructured and huge healthcare data. When it comes to using artificial intelligence (AI) to identify, forecast, diagnose, and treat disease using data from public health and biological databases, the current effort aims to undertake an extensive examination. There may be issues in integrating assistive technology into the current healthcare system, as well. Because of this review, we hope that by merging AI research with clinical and public health specialists, critical knowledge may be extracted from data in order to unchain the relevant information of Flavivirus disease from its chains.  2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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                <text>Potluri S.; Satpathy S.; Mahapatra S.; Nanjundan P.; Mohanty S.N.</text>
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                <text>Smart Innovation, Systems and Technologies, Vol-317, pp. 189-199.</text>
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                <text>Purpose: This study investigates the influence of work-to-family and family-to-work conflict on turnover intention (career break), mediated through job and life satisfaction among Indian women in the service sector, using role conflict theory as the base. Design/methodology/approach: A total of 421 usable responses from women who had taken a career break were collected using a 36-item scale from six major metro cities in India through social and digital media platforms. A purposive-cum-snowballing sampling method was adopted. The hypotheses were tested using structural equation modeling (SEM) through AMOS. Findings: Findings suggest that job satisfaction (JS) is a significant predictor of turnover intention, both when work spills into the family domain, and family responsibilities spill into the work domain, thereby confirming the mediating influence of JS. Interestingly, life satisfaction (LS) only seems to mediate between inter-domain conflict and turnover intention partially. Research limitations/implications: This is a descriptive study, and is thereby limited in terms of its generalizability, specifically as it included respondents only from six major metro cities in India. Practical implications: The extended work-family conflict model could help managers structure organizational interventions that support women to deal with the challenges of managing the demands of both work and family domains, thereby reducing the negative influence on JS. Such initiatives could help reduce career breaks among women. Originality/value: We explored the cause of career breaks among Indian urban women employed in the service sector, using the extended model of inter-role conflict and their attitudes towards both life and job.  2024, Emerald Publishing Limited.</text>
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                <text>Poulose J.; Sharma V.</text>
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                <text>Evidence-based HRM</text>
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                <text>&lt;a href="https://doi.org/10.1108/EBHRM-04-2023-0091" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1108/EBHRM-04-2023-0091&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200011369&amp;amp;doi=10.1108%2FEBHRM-04-2023-0091&amp;amp;partnerID=40&amp;amp;md5=a2a90d7e594179192bc8b4a412382cf7" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200011369&amp;amp;doi=10.1108%2fEBHRM-04-2023-0091&amp;amp;partnerID=40&amp;amp;md5=a2a90d7e594179192bc8b4a412382cf7&lt;/a&gt;</text>
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                <text>ISSN: 20493983</text>
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                <text>Poulose J., School of Business and Management, Christ University, Bangalore, India; Sharma V., Symbiosis Centre for Management and Human Resource Development (SCMHRD), Symbiosis International (Deemed University), Pune, India</text>
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                <text>Influence of family-work conflict on career break decision among Indian women: when family ties, tie you down!</text>
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                <text>career break; family work conflict; intention to quit; job satisfaction; life satisfaction; role conflict; role overload</text>
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                <text>The study is an attempt to understand the influence of the constructs in the family domain on the career break decision of women employed in the service sector in India  a country facing a conundrum of rising female literacy and falling workforce participation. This study proposes a model that explores the direct and indirect relationship between the antecedents of family-work conflict and intention to quit. Data from a sample of 346 women, who had experienced career-break in service sector, was collected through purposive sampling. The researchers probed the relationship between family-work-conflict and intention to quit and mediating influence of job and life satisfaction. Hypotheses were tested though structural equation modelling. Results confirmed that role-overload and gender-stereotyped beliefs were found to be the most significant constructs. Job satisfaction came across as having mediating effect. Stakeholders need to facilitate a path that permits her to continue to nurture her family without having to give up her dreams.  2024 Inderscience Enterprises Ltd.</text>
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                <text>Poulose J.; Sharma V.</text>
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                <text>International Journal of Work Organisation and Emotion, Vol-15, No. 1, pp. 1-22.</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185279788&amp;amp;doi=10.1504%2FIJWOE.2024.136600&amp;amp;partnerID=40&amp;amp;md5=e6ecefba4389bdba8f60f9aed803df90" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185279788&amp;amp;doi=10.1504%2fIJWOE.2024.136600&amp;amp;partnerID=40&amp;amp;md5=e6ecefba4389bdba8f60f9aed803df90&lt;/a&gt;</text>
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                <text>ISSN: 17408938</text>
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                <text>Poulose J., School of Business and Management, CHRIST (Deemed to be University, Delhi NCR, India; Sharma V., Symbiosis Centre for Management and Human Resource Development, Symbiosis International (Deemed University), Pune, India</text>
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              <elementText elementTextId="129683">
                <text>"On the same page, but in different books?" exploring pedagogical beliefs of various stakeholders in management education</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="129684">
                <text>Application based learning; Correspondence analysis; Employability; Management education; Pedagogical mix; Perceptual difference; Students' engagement</text>
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                <text>The declining MBA enrolment numbers and campus placements are indicators of an alarming situation in India. The key stakeholders comprising of teachers, students, and corporates desire the same outcome, which is students with high employability. This implies everyone is on the same page, but the falling salary packages and rising unemployment make one wonder if this page is from a different book for each stakeholder? Through this study, we tried to bring in more clarity on the perception of the stakeholders in such B-schools regarding their choice of pedagogy to be employed. Drawing on the body of literature and peer group discussions, this study identified 15 pedagogical methods employed in higher education. Thus, to explore the preferred pedagogy, an exploratory research was designed and owing to the categorical nature of the data collected over a seven-month period, correspondence analysis was applied. Data analysis confirmed the existence of a huge perceptual gap amongst the stakeholders about the appropriate pedagogy to be used in management education. Student engagement and application based learning emerged as the two most important dimensions of pedagogy in this study. The results and findings can be extended further to understand causes for this perceptual gap and identify measures to bridge the same to ensure that these B - schools yield job ready students resulting in MBA regaining its lost glory.  2019, Associated Management Consultants Pvt. Ltd.. All rights reserved.</text>
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                <text>Poulose J.; Sharma V.</text>
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                <text>Prabandhan: Indian Journal of Management, Vol-12, No. 7, pp. 22-35.</text>
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              <elementText elementTextId="129688">
                <text>Associated Management Consultants Pvt. Ltd.</text>
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                <text>&lt;a href="https://doi.org/10.17010/pijom/2019/v12i7/145583" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.17010/pijom/2019/v12i7/145583&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070610731&amp;amp;doi=10.17010%2Fpijom%2F2019%2Fv12i7%2F145583&amp;amp;partnerID=40&amp;amp;md5=745e60cb22669073ae2a5b238540b620" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070610731&amp;amp;doi=10.17010%2fpijom%2f2019%2fv12i7%2f145583&amp;amp;partnerID=40&amp;amp;md5=745e60cb22669073ae2a5b238540b620&lt;/a&gt;</text>
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                <text>ISSN: 9752854</text>
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                <text>Poulose J., Institute of Management, CHRIST (Deemed to be University), Mariam Nagar, Nandgram, Meerut Road, Ghaziabad, 201 003, Uttar Pradesh, India; Sharma V., Institute of Management, CHRIST (Deemed to be University), Mariam Nagar, Nandgram, Meerut Road, Ghaziabad, 201 003, Uttar Pradesh, India</text>
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                <text>Study of the personal factors influencing voluntary turnover amongst women</text>
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                <text>Female labour force Participation; Role expectation; Role perception; Voluntary turnover</text>
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                <text>In a country where the economic and social independence of a woman is dependent on the way households are structured and organised, the rise in their education and decline in their workforce participation rate is an indication of their paradoxical situation. In this study we evaluate the direct effect of the factors in the personal domain of women on her career break decision. The data from 402 Indian women was analysed using Exploratory Factor Analysis and Confirmatory Factor Analysis, which was then followed by Structural Equation Modelling to check the conceptual model developed through literature review. In present study support personal predictors to turnover intention outcome model, confirming the influence of role conflict, role expectation, role perception, stress, financial soundness, role overload and guilt. Role perception and expectation of women were most significant factors influencing turnover intention of women, implying that the most important change needed is for a change in their own mindset and those around them to arrest their exit from the workforce.  2021 Ecological Society of India. All rights reserved.</text>
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                <text>Poulose J.; Sharma V.; Dubey P.</text>
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                <text>Indian Journal of Ecology, Vol-48, pp. 119-122.</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113770115&amp;amp;partnerID=40&amp;amp;md5=6dbc8fcfd598efe77c8145cb594d6e2a" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113770115&amp;amp;partnerID=40&amp;amp;md5=6dbc8fcfd598efe77c8145cb594d6e2a&lt;/a&gt;</text>
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                <text>Poulose J., LNCT University, Bhopal-, 462 042, India; Sharma V., CHRIST (Deemed to be University), Delhi NCR, 201 003, India; Dubey P., LNCT University, Bhopal-, 462 042, India</text>
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                <text>The telecommunication industry has witnessed a tremendous growth in recent times in India. It has not only been limited to voice calls, but also integrated into every aspect of human life. This has resulted in the rapid rise of market players, offering innovative products and services. In this changing scenario, we have tried to design and check a model of various factors such as loyalty, satisfaction and switching barriers (customer relationship management, alternative attractiveness and switching cost) influencing consumer retention strategies in Indian telecom service industry. A structured and undisguised questionnaire and a convenient sampling method have been used to collect the data from respondents from three most populous cities (Indore, Bhopal, and Ujjain) of Central India. Around 450 questionnaires were distributed, out of which 318 usable responses were received for final analysis. The instrument was checked for validity and reliability before the data was analyzed. The hypotheses were tested through Structure Equation Modelling (SEM) for direct effect, and Multiple Moderating Regression Analysis (MMRA) for moderating effect. The results suggested that loyalty, satisfaction, switching barriers and customer relationship management are positively related and have a direct influence on consumer retention, but the relationship with alternative attractiveness has been found weak. Switching cost, as moderating variable, was found to be very effective and showed significant deviation in the relationship between independent and dependent variables.  Vinod Sharma, Sunny Joseph, Jeanne Poulose, 2018</text>
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                <text>Poulose J., School of Business and Management, CHRIST (Deemed to be University), Delhi NCR, India; Sharma V., Symbiosis Centre for Management &amp;amp; Human Resource Development (SCMHRD), Pune, India; Maheshkar C., Department of Management, Chameli Devi Group of Institutions and East Nimar Society for Education, Madhya Pradesh, Indore, India</text>
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                <text>Gait based human recognition is founded on the principle that every human being has a distinctive style of walking. With the rise in the use of video surveillance devices, gait is one of the most convenient biometrics to use, in forensics. This paper is an analytical study of the effect of using trimmed Gait Energy Images (GEI) for Human Recognition using different deep learning techniques. Gait energy images are a spatiotemporal, silhouette-based representation of the human gait. GEIs from the CASIA B Multiview dataset was used to build two other sets of data by subtracting the upper body Deep learning and transfer learning techniques including Convolution Neural Networks (CNN) and VGG16 algorithms had been implemented to carry out the recognition. Results showed that the performance of the model using upper body images gives a greater accuracy than the lower body images. It has also been observed that the accuracy of recognition provided by the upper part of the body is almost the same as that achieved by the whole body, which brings forth the idea that the upper part of the body is the most pertinent in Human Identification using Gait as a biometric.  2022 IEEE.</text>
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                <text>Structured text programming to visualize the distribution of packages on a conveyor</text>
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                <text>Automation; Conveyor; OPC-UA; Sensors</text>
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                <text>Automation is a process of increasing production and reducing the downtime of any industry. With the integration of sensor data to the cloud using an OPC-VA communication protocol, the automation becomes more prominent and interesting. However, many existing industrial controllers do not support open platform communication unified architecture (OPC-VA) and it needs an IIoT device to connect the cloud. The existing programmable logic controller in any industry have to be connected to an IIoT device through Ethernet. Sensors connected to the controller will transmit the data to the IIoT device. The transmission can also be bidirectional. In this paper, a conveyor which distributes packages is simulated in Codesys and it is visualized in a human-machine interface (HMI) screen which is in-built in the software. The hardware set-up is made with the industrial controller to execute the same. A methodology to send the data from the controller to the cloud using open platform communication unified architecture (OPC-UA) is proposed  2023 IEEE.</text>
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                <text>Pounraj M.; Lonappan L.; Ali V.S.R.; D'Couto A.L.; Deepak D.L.; Krishnan R.R.</text>
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                <text>2023 2nd International Conference on Electrical, Electronics, Information and Communication Technologies, ICEEICT 2023</text>
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              <elementText elementTextId="174725">
                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>2023-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1109/ICEEICT56924.2023.10157818" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICEEICT56924.2023.10157818&lt;/a&gt;
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                <text>Restricted Access</text>
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                <text>ISBN: 979-835039763-5</text>
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                <text>English</text>
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                <text>Pounraj M., Centre of Excellence in Automation, CHRIST (Deemed to Be University), Karnataka, Bengaluru, India; Lonappan L., CHRIST (Deemed to Be University), Department of EEE, Karnataka, Bengaluru, India; Ali V.S.R., CHRIST (Deemed to Be University), Department of EEE, Karnataka, Bengaluru, India; D'Couto A.L., CHRIST (Deemed to Be University), Department of EEE, Karnataka, Bengaluru, India; Deepak D.L., CHRIST (Deemed to Be University), Department of EEE, Karnataka, Bengaluru, India; Krishnan R.R., CHRIST (Deemed to Be University), Department of EEE, Karnataka, Bengaluru, India</text>
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          <element elementId="50">
            <name>Title</name>
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                <text>Enhancing Disease Prediction in Healthcare: A Comparative Analysis of PSO and Extreme Learning Approach</text>
              </elementText>
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          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="170480">
                <text>Disease Prediction System; Extreme Learning Machine (ELM); Particle Swarm Optimization (PSO)</text>
              </elementText>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>The healthcare business generates a tremendous quantity of data, and the goal is to collect it and use it effectively for analysis, prediction, and treatment. The best approach to disease management is disease prevention through early intervention. There are a number of methods that can advise you on how to treat a specific sickness, but much fewer that can tell you with any degree of certainty if you will actually get sick in the first place. Preprocessing, feature selection, feature extraction, and model training are all parts of the proposed method. The suggested layout includes a preprocessing stage that takes care of things like moving average, missing values, and normalization. Feature selection describes the process of selecting the most relevant features from a dataset. After gathering features, the models are trained using PSO-ELM. The proposed strategy is superior to the widely used PSO and ELM.   2023 IEEE.</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="170482">
                <text>Prabakaran M.; Bhole M.K.; Kalpana V.; Dixit S.; Divya K.; Chauhan D.A.</text>
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                <text>3rd International Conference on Innovative Mechanisms for Industry Applications, ICIMIA 2023 - Proceedings, pp. 1092-1097.</text>
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            <elementTextContainer>
              <elementText elementTextId="170484">
                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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              <elementText elementTextId="170485">
                <text>2023-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1109/ICIMIA60377.2023.10426121" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICIMIA60377.2023.10426121&lt;/a&gt;
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              <elementText elementTextId="170487">
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                <text>ISBN: 979-835034363-2</text>
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                <text>Online</text>
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                <text>Prabakaran M., Madanapalle Institute of Technology &amp;amp; Science, Department of Computer Science and Engineering (Data Science), Andhra Pradesh, India; Bhole M.K., Bharati Vidyapeeth College of Engineering, Department of Instrumentation Engineering, Navi Mumbai, India; Kalpana V., RMK College of Engineering and Technology, Puduvoyal, Department of Science and Humanities, Tamilnadu, Thiruvallur, India; Dixit S., Vellore Institute of Technology, School of Computer Science Engineering, Tamilnadu, Vellore, India; Divya K., Prince Shri Venkateshwara Padmavathy Engineering College, Department of ECE, Chennai, India; Chauhan D.A., CHRIST (Deemed to Be University), School of Sciences, Department of Life Sciences, Karnataka, Bengaluru, India</text>
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