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                <text>Patent Number: 202141022914, Applicant: Dr. Ajith Danti.&#13;
The present invention relates to system and Method for crop and fertilizer recommendation through soil nutrient monitoring using cyber physical system and machine learning. The objective of the present invention is to solve the problems in the prior art technologies of crop and fertilizer recommendation based on soil nutrient, soil type and agriculture field location.</text>
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                <text>data set; Diabetes Mellitus; Machine Learning; Supervised; support vector machine; Unsupervised</text>
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                <text>As the foodies love fast food, from micro to combined families across the world the ratio of family members 1:4 is affected with silent killer named as diabetes. A very high blood glucose levels, metabolism, improper carbohydrate, damaged hormone insulin alleviating a human body disability leading to the silent killer of the body parts is the diabetes. An estimated 425 million of people around the globe suffering with diabetes up to 108 million to 1.7 trillion will be affected with diabetes. Therefore millennium, the universe ubiquity suffering with diabetes has next to quadrupled, growing from 9 percent and above among the people. As the eating habits of people in this trendy 21st century is dramatically devastating to the risk of overweight or obese. The silent killer diabetes consequences include kidney failure, Diabetic retinopathy, Heart attack, Stiffness of body muscles, Nerves stroke and lower limb amputation leads to type I and type II diabetes. As the researchers across the globe are using the machine learning algorithms as the reliable problem solver, The complications still continue. The purpose of this percu is to help with the apt selection of features garnishing with machine learning paradigm techniques in selecting the accurate attributes for each person to be properly diagnosed. In this archetype survey paper, we have done a systematic review chronologically a decade research which will help the researchers to explore and get the contemplate on various tangible and intangible data sets they can adopt in diagnosing the mellitus diabetes.  Grenze Scientific Society, 2023.</text>
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                <text>14th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2023, Vol-2023-June, pp. 1768-1775.</text>
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                <text>Padmaja K., CHRIST (Deemed to be University), Department of CSE, Bangalore, India; Mukhopadhyay D., CHRIST (Deemed to be University), Department of CSE, Bangalore, India</text>
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                <text>Systematic investigation on unsymmetrical mesogenic cyanobiphenyl dimers towards optical storage devices: synthesis, mesomorphic, photo switching and DFT studies</text>
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                <text>Journal of Materials Chemistry C;Volume;13;Issue;21;pp.10700-10713</text>
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                <text>Rabari M., Department of Chemistry, Faculty of Science, The Maharaja Sayajirao University of Baroda, Vadodara, 390002, India; Hegde V., Department of Chemistry, Christ University, Hosur Road, Bengaluru, 560029, India; Hegde G., Department of Chemistry, Christ University, Hosur Road, Bengaluru, 560029, India, Centre for Advanced Research and Development, Christ University, Hosur Road, Bengaluru, 560029, India; Prajapati A.K., Department of Chemistry, Faculty of Science, The Maharaja Sayajirao University of Baroda, Vadodara, 390002, India</text>
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                <text>This research presents the synthesis and analysis of a novel series of mesogenic dimers comprising cyanobiphenyl and azonaphthyl units. Structural validation was performed using FT-IR, 1H-NMR, 13C-NMR, elemental analysis, mass spectrometry, etc. The dimers thermotropic behaviours were studied through POM and DSC, revealing enantiotropic nematic phases in all cases, with some also showing monotropic smectic C phases. The study explores the relationship between the chemical structure of the dimers and the length of the flexible spacer, the odd-even effect, and their phase transition temperatures. Longer chains tended to form smectic phases, while shorter chains primarily exhibited nematic phases. Computational analysis using B3LYP/6-31g(d,p) and evaluations of electrostatic potential (ESP) and optical properties provided further insight into the electronic structures. Photoisomerization studies demonstrated consistent photochromic responses, with all dimers showing high conversion efficiency (88-95%) under UV light along with similar back relaxation times (?10-12 hours). Optical storage devices prepared by these materials showed excellent contrast between dark and bright states elucidating the importance of such materials for the future.  2025 The Royal Society of Chemistry.</text>
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              <elementText elementTextId="139112">
                <text>Coal is the plentiful and widely and universally used fuel. However, its structural characteristic makes a perception that it is only worthwhile for generating energy via combustion. Herein we report a simple method to synthesize nanometre-sized graphene sheets with amorphous carbon addends on the edges from sub-bituminous coal. The X-ray analysis reveals the presence of crystalline carbon in the amorphous background. The average number of carbon atoms and aromatic layers was estimated as ?21 and 8. The interlayer spacing d 002 for the aromatic lamellae of samples leached using HF and acetic acid, are found to be 0.352 and 0.376 nm, respectively. The oxidation of coal structure resulted in nanometre sized graphene having lateral size of 4.19 nm and stacking height of 2.3 nm. The Raman spectrum analysis confirmed the formation of finite sized, less defective graphene nanolayers with leaching. The crystalline carbon within the coal matrix displaced with chemical leaching, resulting nano-meter sized graphene sheets. The results also established that with HF leaching, carbon in coal becomes more stacked and ordered compared to organic acid leached coal.  2014 Pleiades Publishing, Ltd.</text>
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                <text>Manoj B.; Kunjomana A.G.</text>
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                <text>Russian Journal of Applied Chemistry, Vol-87, No. 11, pp. 1726-1733.</text>
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              <elementText elementTextId="139115">
                <text>Maik Nauka-Interperiodica Publishing</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84946167915&amp;amp;doi=10.1134%2FS1070427214110251&amp;amp;partnerID=40&amp;amp;md5=450e203be94e6cb6088d775089ab0dc4" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-84946167915&amp;amp;doi=10.1134%2fS1070427214110251&amp;amp;partnerID=40&amp;amp;md5=450e203be94e6cb6088d775089ab0dc4&lt;/a&gt;</text>
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                <text>Manoj B., Department of Physics, Christ University, Bangalore Karnataka, India; Kunjomana A.G., Department of Physics, Christ University, Bangalore Karnataka, India</text>
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                <text>Service robots create a touchless experience for travellers; therefore, this research aims to conduct a systematic literature review (SLR) of service robots in the tourism and hospitality sector. This study used the Scientific Procedures and Rationales for Systematic Literature Reviews (SPAR-4-SLR) approach for reviewing the articles. One hundred eighteen articles are selected for the final review. A thematic analysis divided the articles into three themes and nine sub-themes. For establishing the future research directions Theory, Methodology, and Context (TMC) framework was used and forty-one future research questions are proposed. The study provides various research implications concerning theory and practical perspective. Different management theories are linked with future research questions. Few review papers discussed the service robot in the context of the tourism sector, but none of these studies used the SPAR-4-SLR and TMC framework. This study comprehensively reviews the articles and provides potential future research directions.  2023 Informa UK Limited, trading as Taylor &amp;amp; Francis Group.</text>
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                <text>Service Industries Journal, Vol-43, No. 15-16, pp. 1083-1116.</text>
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                <text>Sharma I., Christ University, India; Sangal S., Christ University, India</text>
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                <text>The exponential rise in academic publications has made synthesizing knowledge and identifying research gaps increasingly challenging. The Systematic Literature Review (SLR) offers a rigorous, transparent, and reproducible approach to evidence synthesis. This chapter discusses the methodological foundations and digital systems that support SLRs, distinguishing them from narrative and scoping reviews. It details key phases such as question formulation, protocol design, search, screening, data extraction, quality appraisal, and synthesis, referencing frameworks like PRISMA 2020. Additionally, it explores the role of AI-driven tools (e.g., EPPI-Reviewer, DistillerSR, Covidence, Rayyan) in improving efficiency and scalability. The chapter concludes with challenges, ethical concerns, and future directions, emphasizing AI integration and living review methodologies.  2026 by IGI Global Scientific Publishing. All rights reserved.</text>
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                <text>Systematic Literature Review on Industry Revolution 4.0 to Enhance Supply Chain Operation Performance</text>
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                <text>Digital Technologies; Global Supply Chain; Industry 4.0; SCM 4.0; Supply Chain Management</text>
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                <text>Industry 4.0 is a notion in which industries automate systems and processes, innovate digitally, and share information. It aims to obtain a smart factory in an attempt to lessen required time in responding to consumer demand or unexpected circumstances and to enhance organizational productivity. The integration of Industry 4.0 and supply chain management (SCM) ensures immense development opportunities for manufacturing firms. This article provides a systematic literature review and formulation of the existing research on Industry 4.0 in SCM, resulting in some intriguing analyses that will be useful to academics and industry, particularly top managers. The content of the article is classified into three categories: exploratory vs. confirmatory, qualitative vs. quantitative, and management level vs. technology level. The findings will benefit managers in understanding the significance of Industry 4.0 and its relationship with SCM. The formation of clusters and their affiliations has resulted in the emergence of new areas requiring managerial attention. The article concludes by examining the possibilities of the present and future research.  2022 ACM.</text>
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                <text>Sasi A.; Subramanian T.; Kumar Ravichandran S.</text>
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                <text>Sasi A., Department of Computer Science, School of Engineering, Presidency University, Karnataka, Bangalore, India; Subramanian T., Department of Computer Science, School of Engineering, Presidency University, Karnataka, Bangalore, India; Kumar Ravichandran S., Department of Computer Science, School of Engineering &amp;amp; Technology, Christ University, Karnataka, Bangalore, India</text>
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                <text>Systematic Literature Review on Industry Revolution 4.0 to Predict Maintenance and Life Time of Machines in Manufacturing Industry</text>
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                <text>Artificial Intelligence; CBM; Industry 4.0; PHM; Predictive maintenance</text>
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                <text>Industry 4.0 is digitized revolution for manufacturers or companies where in new technologies are imbibed into their production system for their day-to-day operations or activities. So that their overall economic needs and efficiency can be improved. In manufacturing industry maintenance of the equipment is the key concern. When the equipment requires maintenance, it has to be done at the earliest, failing which companies will have to face consequences in terms of loss of customers, time and money. Solution is provided to this problem in terms of a technique called predictive maintenance. The content of the article focuses on different predictive maintenance strategies, which help manufacturers to forecast if equipment/component will fail so that its maintenance and repair can be scheduled exactly before the component fails. The results will be useful for manufacturers to understand the importance of industry 4.0 for predictive maintenance.  2023 IEEE.</text>
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                <text>Sowmya P.; Ravichandran S.K.; Rakshitha</text>
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                <text>Proceedings of the 3rd International Conference on Artificial Intelligence and Smart Energy, ICAIS 2023, pp. 194-199.</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>Sowmya P., Nmam Institute of Technology-Affiliated to NITTE(Deemed to Be University), Department of Robotics and Artificial Intelligence, Karnataka, Nitte, India; Ravichandran S.K., Christ University, School of Engineering and Technology, Department of Computer Science, Karnataka, Bangalore, India; Rakshitha, Nmam Institute of Technology-Affiliated to NITTE(Deemed to Be University), Department of Artificial Intelligence and Machine Learning, Karnataka, Nitte, India</text>
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                <text>Purpose: The objective of this paper is to synthesize a systematic review and showcase the findings of how interparental conflict affects the adult offsprings relationship satisfaction. Approach: The paper follows a systematic review approach adhering to PRISMA Guidelines. Findings: Three major themes were identified by the researcher that explained the consequences of interparental conflict on adult offspring. The themes are-Offspring Factors, Offspring factors feature the significant components and factors of offspring that highlight the differences in impact of interparental conflict on ones own romantic relationship; Consequences of Interparental Conflict on Offspring, which highlights the various corollaries on offspring of divorce; and Parent Factors help understand the different parental elements that affect relationship satisfaction of adult offspring. Limitations: 4 full text articles could not be accessed by the author, and hence were not accounted for in the study. Practical Implications: The study helps practitioners comprehend the extensive effects of interparental conflict for usage in therapeutic setups. It also highlights research gaps in existing literature such as lack of studies focusing on men, LGBTQ+ population, children from polygamous families and multicultural cohorts. Value/Originality: Despite the numerous studies published on the topic interparental conflict and its effects on adult offspring, no review has been done to the authors knowledge, thereby limiting the accessibility of precise information. The research aims to bridge this gap, and make comprehensive findings easily accessible.  2022 RESTORATIVE JUSTICE FOR ALL.</text>
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                <text>Paul T., Nandgram Road, Marium Nagar, Sewa Nagar, Uttar Pradesh, Ghaziabad, 201003, India; Chukkali S., CHRIST (Deemed to be University), NCR, Delhi, India</text>
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                <text>Initially, Artificial Intelligence (AI) models were centralized. This resulted in various challenges. To overcome this challenge, the decentralized or distributed frameworks were developed. Recent advancements in blockchain technology and cryptography have accelerated the decentralization process. Decentralized Artificial Intelligence (DAI) is gaining a significant research attention in recent times. This study reviews various DAI techniques such as Decentralized machine learning frameworks, Federated Learning and Distributed AI marketplaces. In particular, this study focuses on reviewing the recent developments in DAI by analyzing its potential advantages and challenges.   2023 IEEE.</text>
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                <text>International Conference on Innovative Data Communication Technologies and Application, ICIDCA 2023 - Proceedings, pp. 241-246.</text>
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                <text>Vincent M., Christ University, Department of Cse, Bangalore, India; George A.E., Christ University, Department of Cse, Bangalore, India; Christa T.S., Christ University, Department of Cse, Bangalore, India; Jayapandian N., Christ University, Department of Cse, Bangalore, India</text>
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                <text>Artificial Intelligence; Cognitive Intelligence; Humanizing; Machine Learning; Social Interactions;</text>
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                <text>In this era, Machine Learning is transforming human lives in a very different way. The need to give machines the power to make decisions or giving the moral compass is a big dilemma when humanity is more divided than it has ever been. There are two main ways in which law and AI interact. AI may be subject to legal restrictions and be employed in courtroom procedures. The world around us is being significantly and swiftly changed by AI in all of its manifestations. Public law includes important facets such as nondiscrimination law and labor law. In a manner similar to this when artificial intelligence (AI) is applied to tangible technology like robots. In certain cases, artificial intelligence (AI) might be hardly noticeable to customers but evident to those who built and are using it. The behavior research offers suggestions for how to build enduring and beneficial interactions between intelligent robots and people. The human improvement is main obstacles in the development and implementation of artificial intelligence. Best practices in this area are not governed by any one strategy that is generally acknowledged. Machine learning is about to revolutionize society as it is know it. It is crucial to give intelligent computers a moral compass now more than ever before because of how divided mankind is. Although machine learning has limitless potential, inappropriate usage might have detrimental long-term implications. It will think about how, for instance, earlier cultures built trust and improved social interactions via creative answers to many of the ethical issues that machine learning is posing now.   2023 IEEE.</text>
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                <text>Abraham J., Deemed to Be University, Christ, Department of CSE, Bangalore, India; Cherian G.J., Deemed to Be University, Christ, Department of Mechanical Engineering, Bangalore, India; Jayapandian N., Deemed to Be University, Christ, Department of CSE, Bangalore, India</text>
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                <text>Shalini, P.; Gokilavani, R.; Durgarani, M.; Manokaran, Deepa; Catherine, S.; Selvi, K.</text>
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                <text>Systematic Review on Online Brand Advocacy's (OBA) Antecedents and Consequences</text>
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                <text>Shalini P., Department of Management Studies, Saveetha Engineering College, Thandalam, Chennai, Tamil Nadu, India; Gokilavani R., School of Commerce, Finance &amp;amp; Accountancy, CHIRST University, Bengaluru, Karnataka, India; Durgarani M., School of Business and Management, CHRIST University, Bengaluru, Karnataka, India; Manokaran D., Department of Management Studies, Saveetha Engineering College, Thandalam, Chennai, Tamil Nadu, India; Catherine S., Department of Management Studies, Saveetha Engineering College, Thandalam, Chennai, Tamil Nadu, India; Selvi K., Department of Management Studies, Saveetha Engineering College, Thandalam, Chennai, Tamil Nadu, India</text>
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                <text>Objective: The primary objective of this study is to discern and synthesize the antecedents and consequences of online brand advocacy (OBA) through a systematic review of empirical studies that employ OBA as a measurable construct. In this study, the gap in our knowledge about the drivers and the effect of OBA is identified, with the synthesis of empirical evidence being made on a systematic level to determine the main antecedents and outcomes of OBA. Methodology: A total of 35 peer-reviewed articles were compiled from Web of Science, Taylor and Francis, Springer, and Sage databases. The search keywords included OBA, Online brand advocacy, and brand advocacy. Inclusion criteria were restricted to quantitative, survey-based empirical studies conducted between 2010 to 2021. Findings: The antecedents, consequences and theories of OBA were categorised into six themes: customer-brand relational factors were brand identification, brand equity, trust factors, brand loyalty, brand authenticity, customer satisfaction, individual factors were intrinsic and extrinsic motivations, personality congruence, brand experience, brand love, cognitive and affective image and social factors were community involvement, brand community attachment, social identity, firm performance, wealth creation. Based on theoretical foundations, we have the social identity theory and the social influence theory as the last theme. Originality/value: This review is novel in compiling and categorising the antecedents, consequences, and theories of OBA as used in empirical studies, providing a solid foundation for advancing research on OBA.  The Research Publication,.</text>
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                <text>Systemless authoritarianism, counter-archives, and literary witnessing: a New Historicist and cultural-political reading of Arundhati Roys The Ministry of Utmost Happiness</text>
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                <text>Cogent Arts and Humanities;Volume;13;Issue;1;Article No.;2652710;</text>
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                <text>&lt;a href="https://doi.org/10.1080/23311983.2026.2652710" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1080/23311983.2026.2652710&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105036124954?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105036124954?origin=resultslist&lt;/a&gt;</text>
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                <text>S Kumar S., Department of English and Cultural Studies, CHRIST (Deemed to be University), Bangalore, India; Kadiyakkol S., Department of English and Cultural Studies, CHRIST (Deemed to be University), Bangalore, India</text>
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                <text>Arundhati Roys The Ministry of Utmost Happiness offers a significant literary response to the evolving forms of authoritarianism in postcolonial India. This article uses a New Historicist and cultural-political framework to analyse the idea of systemless authoritarianism. Instead of using overt state force, the idea refers to a diffused and socially acceptable type of authority that functions through common institutions, cultural norms, and unofficial practices. Roys multi-voiced narrative focuses on marginalised characters such as Anjum, Tilo, and Musa, whose interwoven stories show how repression is intertwined with caste, gender, bureaucracy, and territorial warfare. Using theoretical concepts from Antonio Gramsci, Marlies Glasius, Michel Foucault, and Stephen Greenblatt, the study looks at Roys creation of a counter-archive that challenges official narratives and offers a voice to those who have been silenced. By examining spaces such as the militarised Kashmir Valley and the Jannat Guest House, the study demonstrates how authoritarian authority operates through internalised discipline and cultural consensus inside democratic communities. Ultimately, the novels fractured narrative structure, documentary style, and intertextual elements function as literary witnessing acts that resist authoritarian erasure and recreate various forms of belonging.  2026 The Author(s). Published by Informa UK Limited, trading as Taylor &amp;amp; Francis Group.</text>
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                <text>Intersecting Realities of Health Resilience and Governance in India: Emerging Domestic and Global Perspectives;pp.229-245</text>
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                <text>Tripathi A., Department of IS, Political Science and History, Christ University, Bangalore, India; Shukla V., Department of Community Health and Social Work, Christ University, Bangalore, India</text>
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                <text>Child malnutrition in India is a significant public health concern. While there has been progress in reducing stunting, wasting, and underweight rates among children, the prevalence of malnutrition remains high, especially with a recent increase in childhood anaemia. It is essential to implement effective national health policies and programmes to address this issue. Initiatives such as the Integrated Child Development Services (ICDS), the Mid-Day Meal Scheme (MDMS), and the National Health Policy 2017 play a pivotal role in enhancing nutritional and health outcomes for children. However, challenges such as inadequate infrastructure, socio-economic disparities, and a lack of parental education and awareness hinder the effectiveness of these programmes. Misconceptions about nutrition and child-feeding practices among mothers are also significant contributors to malnutrition. This chapter aims to explore the potential of national health policies in combating child malnutrition in India and addressing the role they play in improving childrens nutritional status.  The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.</text>
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                <text>Tadpole domination number of graphs</text>
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                <text>Domination; tadpole domination number; tadpole graph</text>
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                <text>The graph obtained by joining cycle Cm to a path Pn with a bridge is called Tadpole graph denoted by Tm,n. A subset D of V (G) is said to be a tadpole dominating set of G if D is a dominating set and the set of vertices of D spans a tadpole graph Tm,n where m ? 3, n ? 1. In this paper, we find the tadpole domination number of cartesian product of certain graphs, namely, paths, cycles and complete graphs. Also the tadpole domination number for the Mycielskian of cycles and paths is obtained.   2023 World Scientific Publishing Company.</text>
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              <elementText elementTextId="92359">
                <text>Prebhath V.S.; Sangeetha V.</text>
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                <text>Discrete Mathematics, Algorithms and Applications, Vol-15, No. 8</text>
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                <text>World Scientific</text>
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