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                <text>Mental Health Stigma: Strategies for Destigmatization in Healthcare Settings</text>
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                <text>Destigmatization; ENACT program; IBH therapies; Mental Health Advocacy; RESHAPE program</text>
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                <text>Mental illness is one of the most common disabilities in the world. The term "mental illness stigma"describes harmful practices and misconceptions that lead to a detrimental effect on the mental health, motivation, and self-worth of those who suffer from mental illnesses. Health care services are important for treating and reducing the negative stigma of mental health, as they are areas where patients seek relief and support. The study aims to investigate the causes and how to reduce them. Explores ways to disrupt the health care environment, specifically the RESHAPE program, which focuses on the concept of "critical". This review paper looks at 8-10 papers on mental health and stigma and how stigma will be reduced. The results show that a large number of doctors and students are stigmatized, negatively affecting the lives of people affected by mental illness. RESHAPE, KAP, and IBH therapies are also effective ways to minimize mental health stigma. This intervention aims to educate public health workers, promote social cohesion, and integrate treatment into primary health care, improving treatment into primary health care, improving treatment quality and patient outcomes. The study draws attention to the importance of stigma reduction efforts in the long term in health education and practice emphasis.  2024 IEEE.</text>
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                <text>2024 International Conference on Electrical, Electronics and Computing Technologies, ICEECT 2024</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/ICEECT61758.2024.10738916" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICEECT61758.2024.10738916&lt;/a&gt;
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                <text>ISBN: 979-835037809-2</text>
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                <text>Verma A., Kalinga Institute of Industrial Technology, India; Panda K.T., Kalinga Institute of Industrial Technology, India; Sharma V., CHRIST University, Computer Science Department, India; Tripathy H.K., Kalinga Institute of Industrial Technology, India; Al-Khasawneh M.A., Skyline University College, University City Sharjah, School of Computing, Sharjah, 1797, United Arab Emirates, Applied Science Private University, Applied Science Research Center, Amman, Jordan, Jadara University Research Center, Jadara University, Jordan; Alkhayyat A., The Islamic University, College of Technical Engineering, Najaf, Iraq</text>
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                <text>A phenomenological exploration of Indian women's body image within intersecting identities in a globalizing nation</text>
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                <text>Body dissatisfaction; Body image; Globalization; Indian women; Intersectionality; Phenomenology</text>
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                <text>The goal of the study was to examine Indian women's body image experiences utilizing an intersectional framework. Using phenomenological method, the study attempted to explore how experiences of gender oppression intersect with salient social identities to produce experiences of body dissatisfaction in Indian women. Thirty-Five Indian women in the age group 1840 years participated in semi-structured interviews. Overall, women experienced and discussed their bodies in terms of physical features they liked and disliked. Three themes emerged that comprised body image experiences of Indian women- (a) Beautiful, thin and fair- three social imperatives for women, (b) Internalization and (c) Body image management. Each of these impacted women negatively and contributed to greater body monitoring, increased indulgence in unhealthy behaviours and heightened body dissatisfaction. Women also discussed coping techniques for managing such experiences. Researchers and practitioners are encouraged to take into account culturally constructed beauty norms and unique socio-cultural factors for Indian women that determine body image. Findings are interpreted in the context of evolving socio-cultural norms that have recolonised Indian women's embodiment in a globalizing nation.  2023 Elsevier Ltd</text>
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                <text>Verma A.; Ray S.</text>
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                <text>Women's Studies International Forum, Vol-98</text>
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                <text>2023-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.wsif.2023.102732" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.wsif.2023.102732&lt;/a&gt;
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                <text>ISSN: 2775395</text>
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                <text>Verma A., Jindal School of Psychology &amp;amp; Counseling, OP Jindal Global University, Sonipat, India; Ray S., CHRIST (Deemed to be University)</text>
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          <element elementId="50">
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                <text>FACTORS AFFECTING ORGANIC FARMING CULTIVATION AND THEIR ROLE IN ACHIEVING SUSTAINABLE DEVELOPMENT GOALS (SDG)</text>
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          <element elementId="49">
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                <text>attitude; motivation; organic farming; Sustainable Development Goals (SDG); sustainable farming</text>
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                <text>Objectives: The paper aims to explore the factors which influence the organic farming cultivation in India and how they lead towards attainment of SDG. Theoretical Framework: This paper has adopted Theory of Planned Behavior to identify the factors which influence the organic farming and define their relationship with SDG. Method: The paper attempts to explore the factors which influence the organic farming intention among the farmers. It further explores the relationship between intention for organic farming and adoption of organic farming. The data was captured through detailed questionnaire which was captured through 347 respondents. The data analysis was performed with the help of SPSS 29 and AMOS 29 The mediating role of motivation was also explored using process Macro 4.2. Results &amp;amp; Discussions: The findings revealed that environment and cost influence the organic farming intention while attitude and perception had no effect on organic farming intention. Adoption of organic farming shared a positive relationship with organic farming intention The Cultivation of organic products lead to attainment of following goals No Poverty (SDG 1), zero Hunger (SDG2), Good Health and Well Being (SDG3) and Responsible Consumption and Production (SDG 12). Research Implications: The study reveals that there is a need to raise the awareness level among the farmers regarding the role of organic farming, its environmental impacts and health benefits associated with it. The findings underscore the importance of implementing additional training and awareness programs targeted at novice and less-experienced farmers. Such initiatives aim to familiarize them with diverse aspects of marketing, economics, and social factors associated with organic farming.  2025, Editora Alumni In. All rights reserved.</text>
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                <text>Verma A.; Verma M.; Pillai R.; Raj P.; Krishnan M.G.; Dhanya K.A.</text>
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                <text>Journal of Lifestyle and SDG'S Review, Vol-5, No. 1</text>
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                <text>Editora Alumni In</text>
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                <text>2025-01-01</text>
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                <text>&lt;a href="https://doi.org/10.47172/2965-730X.SDGsReview.v5.n01.pe02695" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.47172/2965-730X.SDGsReview.v5.n01.pe02695&lt;/a&gt;
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                <text>ISSN: 2965730X</text>
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                <text>Verma A., Symbiosis Institute of Business Management, Bengaluru, Symbiosis International University, India; Verma M., Symbiosis Centre for Management Studies, Bengaluru, Symbiosis International University, India; Pillai R., Christ Academy Institute for Advanced Studies, Bengaluru, India; Raj P., School of Business and Management, CHRIST (Deemed to be University), Bengaluru, India; Krishnan M.G., School of Business and Management, CHRIST (Deemed to be University), Bengaluru, India; Dhanya K.A., School of Business and Management, CHRIST (Deemed to be University), Bengaluru, India</text>
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                <text>Examining the Domain of Green Finance Through Bibliometric Research Analysis of 22 Years (20002022): An Analytical Retrospective</text>
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                <text>Green finance has evolved as a concept aiming to integrate environmental protection and economic profits. Growing global concern towards climate change, greenhouse gas emissions, industrial pollution control, waste management, and environmental protection has caught the attention of countries and policymakers towards innovative financial products and services that are used to address a broader range of environmental concerns. Financial instruments such as green bonds, green stocks and loans effectively guide capital investment towards environment-friendly projects and promote the United Nations sustainable development goals. Thus, green finance is considered a compelling concept that plays a vital role in promoting sustainability. The authors used the Scopus database to perform a bibliometric review of green finance from 2001 to 2022 to determine the current trend and progress in the field. The article presents a thorough bibliometric and temporal analysis that provides inputs that other researchers on this topic have not evaluated. VoS Viewer and Biblioshiny. The software was used to visually analyse the data and identify patterns of co-occurrences and prominent research themes. The graphical and systematic mapping illustrates the evolution in publications over time and identifies areas of current research interests. The findings show that the research on green finance has gained momentum from 2014 onwards. The analysis provides a comprehensive overview of the green finance-related research, which will help the researchers and policymakers to examine better the trends and future direction of the development of green finance.  2023 MDI.</text>
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                <text>Verma D.; Kalra R.; Baheti S.S.</text>
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                <text>Sage Publications India Pvt. Ltd</text>
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                <text>&lt;a href="https://doi.org/10.1177/09722629231157470" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1177/09722629231157470&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163007037&amp;amp;doi=10.1177%2F09722629231157470&amp;amp;partnerID=40&amp;amp;md5=e5dbfe50bcd1354968969968548a7a06" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163007037&amp;amp;doi=10.1177%2f09722629231157470&amp;amp;partnerID=40&amp;amp;md5=e5dbfe50bcd1354968969968548a7a06&lt;/a&gt;</text>
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                <text>ISSN: 9722629</text>
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                <text>Verma D., Christ (Deemed to be University), Karnataka, Bengaluru, India; Kalra R., Christ (Deemed to be University), Karnataka, Bengaluru, India; Baheti S.S., Christ (Deemed to be University), Karnataka, Bengaluru, India</text>
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            <name>Title</name>
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                <text>From physical to digital: what drives generation Z for mobile commerce adoption?</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="115242">
                <text>Attitude; Buying intention; Generation Z; M-commerce; Perceived behavioral control; Subjective norm; Theory of planned behavior</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Purpose: This study aims to identify factors affecting generation Z as the early adopters of mobile commerce (m-commerce). The research seeks to explore their behavioral intention to adopt m-commerce in India with consideration of gender differences while providing empirical validation for the theory of planned behavior (TPB). Design/methodology/approach: In this study, a modified TPB model has been used to explain generation Zs intention to adopt m-commerce. The proposed model was tested using a survey method with a sample of 245 students from a private university in Northern India. Subgroup analysis was performed to find gender differences in the process of adopting m-commerce. Findings: All three independent constructs have a positive influence on the behavioral intention of generation Z to adopt m-commerce. Further, the male subgroup has a lower beta value for attitude and higher beta value for subjective norm in comparison to the female subgroup. For perceived behavioral control, no significant difference in beta value across gender could be established. Practical implications: A better understanding of generation Z behavioral intentions will be of great use to telecom companies, marketers and electronic commerce companies to formulate strategies to expedite the use of m-commerce. As gender plays an important role in attitude and subjective norms, companies are advised to target their communication tactics in accordance to gender. Originality/value: To the best of the authors knowledge, this study is one of the first to test TPB and generation Z association in the context of m-commerce adoption in India. Data regarding the difference between the two genders has also shed light on the uniqueness of the context.  2021, Emerald Publishing Limited.</text>
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              <elementText elementTextId="115244">
                <text>Verma D.; Tripathi V.; Singh A.P.</text>
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            <name>Source</name>
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              <elementText elementTextId="115245">
                <text>Journal of Asia Business Studies, Vol-15, No. 5, pp. 732-747.</text>
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            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="115246">
                <text>Emerald Group Holdings Ltd.</text>
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            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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                <text>2021-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1108/JABS-05-2020-0207" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1108/JABS-05-2020-0207&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114452818&amp;amp;doi=10.1108%2FJABS-05-2020-0207&amp;amp;partnerID=40&amp;amp;md5=9f7a18ef6a27e72c175aa475aadca7a6" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114452818&amp;amp;doi=10.1108%2fJABS-05-2020-0207&amp;amp;partnerID=40&amp;amp;md5=9f7a18ef6a27e72c175aa475aadca7a6&lt;/a&gt;</text>
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="115249">
                <text>Restricted Access</text>
              </elementText>
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              <elementText elementTextId="115250">
                <text>ISSN: 15587894</text>
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            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
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              <elementText elementTextId="115251">
                <text>Online</text>
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              <elementText elementTextId="115252">
                <text>English</text>
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          <element elementId="51">
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              <elementText elementTextId="115253">
                <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="115254">
                <text>Verma D., Institute of Business Management, GLA University, Mathura, India; Tripathi V., School of Business and Management, Christ (Deemed to be) University, Delhi NCR Campus, Ghaziabad, India; Singh A.P., Department of Applied Psychology VBS, Purvanchal Univerisity, Jaunpur, India</text>
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  <item itemId="19737" public="1" featured="0">
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            <element elementId="50">
              <name>Title</name>
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                <elementText elementTextId="51377">
                  <text>Conference Papers</text>
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      <name>Conference Paper</name>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="171921">
                <text>A Study on the Factors Affecting Infants' Health-Related Issues and Child Mortality using Machine Learning</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="171922">
                <text>Child mortality; decision support; infants' health; machine learning; predictive modeling; risk assessment</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="171923">
                <text>Child mortality and infant health-related issues remain significant challenges worldwide. Understanding the factors that influence these outcomes is crucial for implementing effective interventions and improving child health outcomes. In this study, we employ machine learning techniques to identify and analyze the key factors affecting infants' health-related issues and child mortality. Further, we identify several significant factors that influence infants' health-related issues and child mortality. These factors include maternal health indicators, access to healthcare services, socioeconomic status, environmental factors, and demographic characteristics. The machine learning models provide insights into the relative importance of these factors, enabling policymakers and healthcare professionals to prioritize interventions and allocate resources effectively. Additionally, we investigate the potential interaction effects among these factors and their impact on child health outcomes. This analysis helps in understanding the complex relationships and causal pathways involved in infants' health-related issues and child mortality. The findings of this study contribute to the existing knowledge by leveraging machine learning techniques to identify and analyze the factors affecting infants' health-related issues and child mortality. The insights gained from this research can inform evidence-based policies and interventions aimed at reducing child mortality rates and improving infant health outcomes globally. By addressing the underlying factors identified through this study, we can work towards achieving better health outcomes for infants and reducing the burden of child mortality worldwide.  2023 IEEE.</text>
              </elementText>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="171924">
                <text>Verma I.; Prasad S.K.</text>
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          <element elementId="48">
            <name>Source</name>
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              <elementText elementTextId="171925">
                <text>2023 2nd International Conference on Smart Technologies for Smart Nation, SmartTechCon 2023, pp. 615-624.</text>
              </elementText>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="171926">
                <text>Institute of Electrical and Electronics Engineers Inc.</text>
              </elementText>
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          </element>
          <element elementId="40">
            <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="171927">
                <text>2023-01-01</text>
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              <elementText elementTextId="171928">
                <text>&lt;a href="https://doi.org/10.1109/SmartTechCon57526.2023.10391399" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/SmartTechCon57526.2023.10391399&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184811405&amp;amp;doi=10.1109%2FSmartTechCon57526.2023.10391399&amp;amp;partnerID=40&amp;amp;md5=c2a75a52748fb1dbcc35e83a4f0c9370" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184811405&amp;amp;doi=10.1109%2fSmartTechCon57526.2023.10391399&amp;amp;partnerID=40&amp;amp;md5=c2a75a52748fb1dbcc35e83a4f0c9370&lt;/a&gt;</text>
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          <element elementId="47">
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            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="171929">
                <text>Restricted Access</text>
              </elementText>
            </elementTextContainer>
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              <elementText elementTextId="171930">
                <text>ISBN: 979-835030541-8</text>
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          <element elementId="42">
            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
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              <elementText elementTextId="171931">
                <text>Online</text>
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            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="171932">
                <text>English</text>
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                <text>Verma I., School of Computing Science and Engineering, Galgotias University, UP, Greater Noida, India, CHRIST (Deemed to be university) Delhi NCR, Ghaziabad, India; Prasad S.K., School of Computing Science and Engineering, Galgotias University, UP, Greater Noida, India</text>
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      <name>Article</name>
      <description>Faculty Publications -Articles</description>
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      <elementSet elementSetId="1">
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        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="73237">
                <text>Investigation of Spectroscopic Parameters and Trap Parameters of Eu3+-Activated Y2SiO5 Phosphors for Display and Dosimetry Applications</text>
              </elementText>
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          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="73238">
                <text>CGCD; CIE; phosphors; spectroscopic parameters; trap parameters</text>
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          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="73239">
                <text>Using the solid-state reaction technique, varied Y2SiO5 phosphors activated by europium (Eu3+) ions at varied concentrations were made at calcination temperatures of 1000 C and 1250 C during sintering in an air environment. The XRD technique identified the monoclinic structure, and the FTIR technique was used to analyze the generated phosphors. Photoluminescence emission and excitation patterns were measured using varying concentrations of Eu3+ ions. The optimal strength was observed at a 2.0 mol% concentration. Emission peaks were detected at 582 nm and 589 nm for the 5D0?7F1 transition and at 601 nm, 613 nm, and 632 nm for the 5D0?7F2 transition under 263 nm excitation. Because Eu3+ is naturally bright, these emission peaks show how ions change from one excited state to another. This makes them useful for making phosphors that emit red light for use in optoelectronics and flexible displays. Based on the computed (1931 CIE) chromaticity coordinates for the photoluminescence emission spectra, it was determined that the produced phosphor may be used in light-emitting diodes. The TL glow curve was examined for various doping ion concentrations and durations of UV exposure levels, revealing a broad peak at 183 C. Using computerized glow curve deconvolution (CGCD), we calculated the kinetic parameters.  2024 by the authors.</text>
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              <elementText elementTextId="73240">
                <text>Verma N.; Michalska-Doma?ska M.; Dubey V.; Ram T.; Kaur J.; Dubey N.; Aman S.; Manners O.; Saji J.</text>
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            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="73241">
                <text>Molecules, Vol-30, No. 1</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="73242">
                <text>Multidisciplinary Digital Publishing Institute (MDPI)</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="73243">
                <text>2025-01-01</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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                <text>Due to climate change many parts of the worlds are prone to natural disasters. Thus, disaster management is the need of the hour. Effectiveness of Telemedicine in Disaster Relief response management shows the demand for telemedicine in the current time to tackle disasters. This paper investigates the history and evolution of telemedicine, their types, demand, challenges and its prospects. The proposed model, CrisisResponsive E-Health Recovery, places an approach on a concise way to manage disaster in the least time without giving up accuracy. The suggested model has the best response time as compared to the other existing model. Wide implementation of this model will result in better recovery rates in disasters.  2024 IEEE.</text>
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                <text>Verma P., KIIT Deemed to be University, School of Computer Engineering, Odisha, Bhubaneshwar, India; Alkhayyat A., Islamic University, College of Technical Engineering, Najaf, Iraq; Mishra S., Deemed to be University, Kalinga Institute of Industrial Technology, India; Sharma V., CHRIST University, Computer Science Department, India</text>
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                <text>Does Google Trend Affect Cryptocurrency? An Application of Panel Data Approach</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="97229">
                <text>Cryptocurrency; Google trends; Investor attention; Trading volume; Volatility</text>
              </elementText>
            </elementTextContainer>
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            <description>An account of the resource</description>
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                <text>Cryptocurrency has emerged globally as the most profitable investment asset of the decade. The media exposure and reportage on cryptocurrency are frequent, and it seems that prices of cryptocurrencies could only rise higher. In today's digital world, any individual's first go-to information-seeking platform is the Google search engine. Thus, it is imperative to understand how Google's search trend affects an investable asset and its market as a whole. Researchers have explored varied sentiment measurement proxies such as news coverage, Facebook and Twitter posts, and, most importantly, Google searches. Numerous research studies show increasing interest in Google search volume and its predictive ability to understand investment returns and economic outcomes. In a behavioural finance context, the present research uses Pearson's correlation and panel regression to examine the association of cryptocurrency returns (Bitcoin, Ethereum, and Ripple) and their varied characteristics with the Google search intensity. The study's findings reveal that investors searching for information on Cryptocurrency online drive the price increase in cryptocurrency and push the trading volume up and increase the volatility of the cryptocurrency returns. Furthermore, investor sentiment has a statistically significant impact on cryptocurrencies' trading volume and weekly volatility in periods of high or greedy investor sentiment. The findings imply that the 'price pressure hypothesis' given by Barber and Odean (2008) as a stock market research finding is also present in the cryptocurrency market.  2023 SCMS Group of Educational Institutions. All rights reserved.</text>
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                <text>Verma R.; Sam S.; Sharma D.</text>
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            <elementTextContainer>
              <elementText elementTextId="97232">
                <text>SCMS Journal of Indian Management, Vol-20, No. 2, pp. 124-132.</text>
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              <elementText elementTextId="97233">
                <text>SCMS Group of Educational Institutions</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85168088614&amp;amp;partnerID=40&amp;amp;md5=d1b3552ead5095d87d02b65c6f627629" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85168088614&amp;amp;partnerID=40&amp;amp;md5=d1b3552ead5095d87d02b65c6f627629&lt;/a&gt;</text>
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              <elementText elementTextId="97236">
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                <text>ISSN: 9733167</text>
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              <elementText elementTextId="97239">
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          </element>
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                <text>Verma R., Department of Financial Administration, Central University of Punjab, India; Sam S., School of Business and Management, Christ (Deemed-to-be-University), Bangalore, India; Sharma D., Department of Financial Administration, Central University of Punjab, Bhatinda, 151001, India</text>
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          <element elementId="50">
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            <elementTextContainer>
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                <text>Cryptocurrency Market Anomaly: The Day-of-the-Week-Effect</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="97669">
                <text>Anomaly; Cryptocurrency; Day-of-the-week Effect; India; Market efficiency</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
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            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="97670">
                <text>Cryptocurrency has emerged as a fad amongst investors, academicians and policy-makers as a financial asset, making it important to empirically test the price behaviour of this emerging market. This paper is designed to investigate the presence of a well-known day-of-the-week effect in the young and emerging cryptocurrency market returns from August 2015 to March 2019. Using varied statistical techniques, this anomaly is examined for six cryptocurrencies (Bitcoin, Ethereum, Ripple, Litecoin, Stellar and Tether). The study applies both parametric and non-parametric statistical tests, i.e.,Bar Graph, Heat map, Students t-test, Analysis of Variance (ANOVA),regression analysis with dummy variables and the Kruskal Wallis Test. The studys findings show that no sample cryptocurrency returns exhibit the day-of-the-week effect phenomenon.The statistically insignificant result of the day-of-the-week effect in thecryptocurrency returns showcases the evidence of market efficiency in the cryptocurrency market.  Indian Institute of Finance.</text>
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                <text>Verma R.; Sharma D.; Sam S.</text>
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              <elementText elementTextId="97672">
                <text>Finance India, Vol-37, No. 1, pp. 301-316.</text>
              </elementText>
            </elementTextContainer>
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            <name>Publisher</name>
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            <elementTextContainer>
              <elementText elementTextId="97673">
                <text>Indian Institute of Finance</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85154050405&amp;amp;partnerID=40&amp;amp;md5=9539a877a88f3b51f9faa227f394065a" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85154050405&amp;amp;partnerID=40&amp;amp;md5=9539a877a88f3b51f9faa227f394065a&lt;/a&gt;</text>
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            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="97676">
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              <elementText elementTextId="97677">
                <text>ISSN: 9703772</text>
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            <description>The file format, physical medium, or dimensions of the resource</description>
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            <description>A language of the resource</description>
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              <elementText elementTextId="97679">
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            <description>The nature or genre of the resource</description>
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              <elementText elementTextId="97681">
                <text>Verma R., Central University of Punjab, Department of Financial Administration, Village Ghudda, District Bhatinda, Punjab, 151001, India; Sharma D., Central University of Punjab, Department of Financial Administration, Village Ghudda, District Bhatinda, Punjab, 151001, India; Sam S., CHRIST (Deemed to be University), School of Business and Management, Hosur Road, Karnataka, Bangalore, 560029, India</text>
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                <text>1,2,3-triazoles; Cycloaddition; MXenes; Ti&lt;sub&gt;3&lt;/sub&gt;C&lt;sub&gt;2&lt;/sub&gt;T&lt;sub&gt;x&lt;/sub&gt;; Two-dimensional</text>
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                <text>Two-dimensional transition metal carbides/nitrides: MXenes have become a prime choice for researchers to exploit their outstanding properties for various applications in different fields majorly including energy, health and environment. Interestingly, there are no reports of utilizing 2D materials especially MXenes as a catalyst support for organic transformations. In the present study, we have utilized 2D Ti3C2Tx MXenes as a catalyst support for the synthesis of 1,4-disubstituted-1,2,3-triazoles via azide-nitroalkene cycloaddition for the first time. Reusability of Ti3C2Tx MXene catalyst up to five cycles without the loss of catalytic activity with appreciable yields of the product is the noteworthy feature of the present protocol. The synthesized 1,2,3-triazole derivatives possessing long alkyl chain upto fourteen carbon atoms on terminal nitrogen in triazole ring could become a good precursors to give a liquid crystalline properties beyond its biological properties. Nontoxic catalyst, catalyst reusability, broad substrate scope, and good yield are some of the salient features of the present protocol.  2023 Elsevier B.V.</text>
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                <text>Journal of Molecular Structure, Vol-1281</text>
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                <text>Verma S.K., School of Chemistry and Chemical Engineering, Yulin University, Yulin, 719000, China, Shaanxi Key Laboratory of Low Metamorphic Coal Clean Utilization, Yulin University, Yulin, 719000, China; Verma R., School of Chemistry and Chemical Engineering, Yulin University, Yulin, 719000, China, Shaanxi Key Laboratory of Low Metamorphic Coal Clean Utilization, Yulin University, Yulin, 719000, China; Girish Y.R., Centre for Research &amp;amp; Innovations, BGSIT, Adichunchanagiri University, B.G. Nagara, Mandya District, Karnataka, 571448, India; Verma S., University college of Pharmacy Raipur, Pt. Deendayal Upadhyay Memorial Health, Sciences and Aayush University of Chhattisgarh, Chhattisgarh, Raipur, 492010, India; Pramoda K., Centre for Nano and Material Sciences, Jain University, Jain Global Campus, Bangalore-, Ramanagaram, 562112, India; Vaishnav Y., Faculty of Pharmaceutical Sciences, Shri Shankaracharya Techincal Campus, Chattisgarh, Junwani Bhilai, 491001, India; Saji J., Department of Sciences and Humanities, School of Engineering and Technology, CHRIST (Deemed to be university), Bangalore, 560029, India; Kumar K.S.S., Department of Studies in Chemistry, University of Mysore, Manasagangotri, Mysuru, 570 006, India</text>
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The fundamental drives of every organization are profitability and achievement. The sustainability among these organizations relies on numerous elements that seem to have a substantial influence on performance. Estimating the implementation of sustainability organizations helps to discover weaknesses in terms of enhancing its productivity and profitability. Because of the enormous diversity of construction companies, it is harder for development organizations to develop or sustain a scientific approach for measuring their present effectiveness. Previous research utilized questionnaires and scientific and management consultations.</text>
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A methodology that makes use of natural language processing (N.L.P.) methods to extract information from online news feeds and then makes use of the information that was thus extracted to anticipate changes in stock prices or volatilities. This approach is known as news feed mining. These forecasts may be used to develop trading strategies that result in a profit. Parsing or pattern matching may be done on terms in or close to the phrase that contains the business name in order to identify the company name and automatically fill up basic templates that describe the acts that the organization does.</text>
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                <text>Internet of Drones (IoD) is a field that has a vast scope for improvement due to its high adaptability and complex problem statements. Aerial vehicles have been employed in various applications such as rescue operations, agriculture, crop productivity analysis, disaster management, etc. As computing and storage power have increased, satellite imaging and drone imaging have become possible, with vast datasets available for study and experiments. The recent work lies in the edge computing sector, where the captured aerial images are processed at the edge. Our paper focuses on the algorithms and technologies that easily facilitate aerial image processing. The applications and their architectures are focused on which can efficiently function using aerial processing. The various research perspectives in aerial imaging are concentrated on paving the way for further research.  2024 Scrivener Publishing LLC. All rights reserved.</text>
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                <text>Vetriveeran D., Department of CSE, Christ University, Karnataka, Bangalore, India; Sambandam R.K., Department of CSE, Christ University, Karnataka, Bangalore, India; Jenefa J., Department of CSE, Christ University, Karnataka, Bangalore, India; Leena Sri R., Department of CSE, Thiagarajar College of Engineering, Tamil Nadu, Madurai, India</text>
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                <text>convolutional neural network; ensemble Kalman filter; fault detection; internet of things; microgrid energy management; sheep flock optimization</text>
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                <text>The combination of micro-grid energy management systems (EMSs) with the Internet of Things (IoT) offers a promising way to improve energy use and distribution. However, challenges such as device compatibility and the difficulty of managing energy efficiently make it hard to implement these systems effectively. This study offers a significant advancement in energy management by using IoT for microgrid systems. An Optimized Multi-scale Attention Convolutional Neural Network for microgrid EMS employing IoT (OMACNN-MGEMS-IoT) is proposed in this study, which enables efficient monitoring and control of energy resources. The proposed model's input data are gathered from the MQTT dataset. This research employs a Regularized Bias-aware Ensemble Kalman Filter (RBAEKF) for pre-processing input data, ensuring the removal of outliers and updating missing values. The MACNN is then used for effective fault detection within the microgrid. To enhance its performance, the Sheep Flock Optimization Algorithm (SFOA) is introduced to optimize the MACNN parameters, ensuring accurate fault detection. Implemented on the MATLAB platform, the performance of the OMACNN-MGEMS-IoT method is assessed through various performance metrics, demonstrating significant improvements. Notably, the proposed method achieves higher cost reductions of 25%, 22%, and 26% compared to existing approaches such as the IoT platform for energy management in multi-micro grid systems (IoT-PEM-MMS), a micro-grid system infrastructure implementing IoT for efficient energy management in buildings (MSII-IoT-EEM) and a hybrid deep learning-based online energy management scheme for industrial microgrids (HDL-OEM-IM). The findings highlight the impact of the proposed OMACNN-MGEMS-IoT method in enhancing energy efficiency and cost-effectiveness in microgrid systems.  2025 John Wiley &amp;amp; Sons Ltd.</text>
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                <text>&lt;a href="https://doi.org/10.1002/oca.3253" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1002/oca.3253&lt;/a&gt;
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                <text>Vetriveeran D., Department of Computer Science and Engineering, Christ University, Bangalore, India; Sambandam R.K., Department of Computer Science and Engineering, Christ University, Bangalore, India; Sekar T., Department of Computer Science and Engineering, Bharath Institute of Higher Education and Research, Chennai, India; Venkatachalam A., Department of Computer Science and Engineering, Christ University, Bangalore, India</text>
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                <text>In the innovative work secure communication and data protection are being main field, which are emerged by cryptography as a fundamental pillar. Strong cryptographic methods are now essential given the rising reliance on digital technologies and the threats posed by bad actors. This abstract examines the evolution of secure communication protocols and data protection techniques as it relates to the advancements in cryptography. The development of post-quantum cryptography is the most notable development in cryptography discussed in this study. As quantum computers become more powerful, they pose a serious threat to traditional cryptographic algorithms, such as RSA and ECC. Designing algorithms that are immune to attacks from quantum computers is the goal of post-quantum cryptography. Lattice-based, code-based, and multivariate-based cryptography are only a few of the methods that have been investigated in this context.  2023 EDP Sciences. All rights reserved.</text>
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                <text>Victor M., School of Business and Management, Christ (Deemed to Be University), Bangalore, India; Praveenraj D.D.W., School of Business and Management, Christ (Deemed to Be University), Bangalore, India; Sasirekha R., Prince Shri Venkateshwara Padmavathy Engineering College, Chennai, 127, India; Alkhayyat A., College of Technical Engineering, The Islamic University, Najaf, Iraq; Shakhzoda A., Tashkent State Pedagogical University, Tashkent, Uzbekistan</text>
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                <text>Cloud Computing is an innovation in the field of Information Technology and in healthcare system because of the deployment models which services as profitability for the tenants. Cloud Computing is cost-effective, flexible and a delivery platform which provides business and services over internet. Multi-tenancy with its hardware sharing and high degree of configurability is utilized in cloud computing health care system even though many health care organizations are unwilling to adapt due to infrastructure and security shortcoming. In order to store the sensitive health care data cloud service providers should include promising security features where both the trusted and untrusted parties should be addressed in it. This paper addresses the security requirements and security issues in multi-tenant healthcare system, a frame is proposed for analyzing the security issues based on the available requirements and possible counter measures been suggested. The security concerns are analyzed by trust, confidentiality, integrity, audit and compliances and furthermore insight for the security is provided in multi cloud with possible security recommended for healthcare system.  IAEME Publication.</text>
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                <text>International Journal of Mechanical Engineering and Technology, Vol-9, No. 3, pp. 71-78.</text>
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                <text>Victor R.J., Department of Computer Science, Christ University, Bengaluru, Karnataka, India; Singh M., Department of Computer Science, Christ University, Bengaluru, Karnataka, India</text>
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