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                <text>Pathway toDetect Cancer Tumor byGenetic Mutation</text>
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                <text>Cancer detection is one of the challenging tasks due to the unavailability of proper medical facilities. The survival of cancer patients depends upon early detection and medication. The main cause of the disease is due to several genetic mutations which form cancer tumors. Identification of genetic mutation is a time-consuming task. This creates a lot of difficulties for the molecular pathologist. A molecular pathologist selects a list of gene variations to analyze manually. The clinical evidence strips belong to nine classes, but the classification principle is still unknown. This implementation proposes a multi-class classifier to classify genetic mutations based on clinical evidence. Natural language processing analyzes the clinical text of evidence of gene mutations. Machine learning algorithms like K-nearest neighbor, linear support vector machine, and stacking models are applied to the collected text dataset, which contains information about the genetic mutations and other clinical pieces of evidence that pathology uses to classify the gene mutations. In this implementation, nine genetic variations have been taken, considered a multi-class classification problem. Here, each data point is classified among the nine classes of gene mutation. The performance of the machine learning models is analyzed on the gene, variance, and text features. The gene, variance, and text features are analyzed individually with univariate analysis. Then K-nearest neighbor, linear support vector machine, and stacking model are applied to the combined features of a gene, variance, and text. In the experiment, support vector machine gives better results as compared to other models because this model provides fewer misclassification points. Based on the variants of gene mutation, the risk of cancer can be detected, and medications can be given. This chapter will motivate the readers, researchers, and scholars of this field for future investigations.  The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.</text>
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                <text>Mohanty A.; Prusty A.R.; Dasig D.</text>
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                <text>Studies in Computational Intelligence, Vol-1132, pp. 171-187.</text>
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                <text>Mohanty A., Computer Science and Engineering, CHRIST (Deemed to be) University, Bengaluru, India; Prusty A.R., DGT, RDSDE, NSTI(W), West Bengal, Kolkata, India; Dasig D., Graduate Studies College of Science and Computer Studies, De La Salle University, Dasmarinas, Philippines</text>
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                <text>Pathways for Sustainable Food Security: Status, Challenges, and Opportunities in Developing World</text>
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                <text>Studies in Systems, Decision and Control;Volume;586;pp.185-201</text>
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                <text>Singha S., Kristu Jayanti College (Autonomous), Bengaluru, India; Alabed N., Liwa College, Abu Dhabi, United Arab Emirates; Singha R., Christ University, Bengaluru, India; Jaheer Mukthar K.P., Kristu Jayanti College (Autonomous), Bengaluru, India</text>
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                <text>Food security is a significant concern in developing countries because of the dense population of disadvantaged individuals, insufficient food resources, and restricted availability of retail options. Food availability, quantity, and consumption are significantly influenced by social conditions. This study aims to analyze the present circumstances, challenges, and potential prospects in order to suggest pathways towards achieving sustainable food security in developing countries. The study utilizes a comprehensive approach to identify the vital societal elements that impact food security, through the analysis of pertinent literature and case studies from multiple nations. The variables encompass affluence, gender, education, social capital, and culture. This study investigates the causal relationship between these variables and the occurrence of food insecurity. It proposes strategies that foster sustainable agriculture, social protection, community empowerment, and gender equality as potential remedies. The report asserts that addressing the socioeconomic determinants impacting food security is crucial for emerging nations to attain sustainable food security. Attaining sustainable food security necessitates a comprehensive approach that acknowledges the significance of social factors and focuses on the holistic well-being of individuals.  The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.</text>
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                <text>Developing countries; Food security; Social factors; Sustainability</text>
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                <text>ISSN: 21984182;</text>
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                <text>Avhad, Priyanka Ravindra; Radhakrishnan, G.V.; Parashar, Jyoti; Malik, Khusbhoo; Gupta, Komal; Upreti, Kamal</text>
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                <text>Patient Digital Twins for Dynamic Hospital Supply Chain Management AI-Based Predictive Resource Allocation</text>
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                <text>Proceedings of International Conference on Digital Innovations for Sustainable Solutions, ICDISS 2025;</text>
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                <text>&lt;a href="https://doi.org/10.1109/ICDISS68238.2025.11320584" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICDISS68238.2025.11320584&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105033566276?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105033566276?origin=resultslist&lt;/a&gt;</text>
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                <text>Avhad P.R., Dept. of Computer Science&amp;amp; Engineering, Veermata Jijabai Technological Institute, Mumbai, India; Radhakrishnan G.V., Department of Economics &amp;amp; Finance, Kalinga School of Management KIIT, Bhubaneswar, India; Parashar J., Department of Computer Applications, Panipat Institute of Engineering &amp;amp; Technology College, Haryana, Panipat, India; Malik K., School of Law, Christ University Delhi NCR, Ghaziabad, India; Gupta K., Accenture, Bangalore, India; Upreti K., Department of Computer Science, Christ University Delhi NCR, Ghaziabad, India</text>
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                <text> The fusion of Digital Twin (DT) technology and Artificial Intelligence (AI) holds great promise for the optimization of hospital supply chain management and resource allocation. This paper proposes a patient-specific digital twin framework aimed at forecasting hospital staffing needs and aiding supply planning by means of AI-based analytics. Preprocessing and modeling of hospital records that included admission information, medical procedures, room types, usage of supplies, and patterns of staffing were achieved by utilizing advanced machine learning algorithms. The strategy illustrated better performance compared to baseline strategies and had interpretability from feature importance analysis, which emphasized length of stay, critical care admissions, and specialized procedures as influential drivers of staffing requirements. The results show that the patient digital twin can optimize operational efficiency, avoid supply deficits, and facilitate evidence-based decisions. The suggested framework is consistent with the vision of contemporary healthcare supply chains in that it promotes resilience, flexibility, and smart resource management. 2025 IEEE.</text>
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                <text>Artificial Intelligence; Digital Twin; Hospital Supply Chain; Predictive Analytics; SHAP Interpretability; Staffing Optimization</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>ISBN: 979-833155641-9;</text>
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                <text>Patient Monitoring System for Elderly Care using AI Robot</text>
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            <description>The topic of the resource</description>
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                <text>AI; Elderly care; Patient Monitoring System; sensors</text>
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                <text>The use of robots in numerous industries has expanded in recent decades. Self-guiding robots have started to arise in human life, particularly in sectors pertaining to the lives of old people. Age-related population growth is accelerating globally. As a result, there is a rising need for personal care robots. The purpose of this requirement is to increase opportunities for mobility and support independence. To meet this demand, a robot with specific functionalities to help older people has been designed. The standard values of healthcare parameters are stored in the database by recording and comparing the current values the system will give an alarm and also sends a message to the doctor or caretaker so that a proper care would be given to the patients. We are including a preset distance value to monitor the elder people. Here we are using some sensors to detect the health parameters from the person. Robot have designed to intimate the family members if any changes occur in the health parameters. It helps the people to stay alone in home with safe manner.   2022 IEEE.</text>
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                <text>Baby Chithra R.; Anju I.M.; Neethu P.S.; Joy S.; Namrin H.</text>
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                <text>6th IEEE International Conference on Computational System and Information Technology for Sustainable Solutions, CSITSS 2022</text>
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                <text>The primary motivation behind this exploration study targets introducing a portion of the CRM ideas and components, CRM procedure to take proactive measures towards the customer to Health supplier to improve patients' satisfaction, loyalty fabricates a decent connection with patients and increment income. Patients' consideration, needs, and making associations with patients is an everyday schedule action in a well-being supplier. CRM is fundamental in this foundation customer satisfaction, the customer saw worth and customer relationship the board upgrade the relationship of the customer with the support up the general execution of the Hospital. The exploration configuration depends on quantitative examination, hence the information was gathered through an organized poll, five Likert-scales, SPSS, relapse, and SEM Model were utilized to figure out the results. This audits and distinguishes fundamental service quality, framework, the executives, and correspondence is identified with patients' satisfaction and loyalty in the private clinics in Andhra Pradesh. This investigation features the degree of service quality of the clinic services chosen by the test respondents.. This paper is an endeavour to discover connections between patients' views of customers' satisfaction and customers' loyalty and to propose ideas to have better CRM rehearses.  2021 by authors, all rights reserved. Authors agree that this article remains permanently open access under the terms of the Creative Commons Attribution License 4.0 International License</text>
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                <text>Mandala G.N., Department of Professional Studies, CHRIST Deemed to be University, Bengaluru, India; Desai K., Department of Professional Studies, CHRIST Deemed to be University, Bengaluru, India; Jose J., Department of Professional Studies, CHRIST Deemed to be University, Bengaluru, India; Koshy E.R., Department of Professional Studies, CHRIST Deemed to be University, Bengaluru, India; Bhagyalakshmi M., Department of Professional Studies, CHRIST Deemed to be University, Bengaluru, India</text>
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                <text>Patriarchal Constraints in Everyday Lives: Gender Roles, Matrilineality, and the Status of Contemporary Khasi Women</text>
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                <text>Journal of International Women's Studies;Volume;28;Issue;1;Article No.;14;</text>
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                <text>Langstieh M., Christ University, Bengaluru, India; Sahu S., Christ University, Bengaluru, India</text>
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                <text>The Khasi tribe from Meghalaya in northeast India practices a matrilineal system, which is believed to be more egalitarian than patrilineal systems. The women of the Khasi tribe are often regarded as having a higher status than other women in India. However, despite belonging to a matrilineal society, Khasi women still face challenges in their social lives stemming from patriarchal constructs. This qualitative study examines the social status and subsequent challenges faced by Khasi women in contemporary India. Using in-depth interviews and observations of thirty urban and rural Khasi women in the East Khasi Hills District of Meghalaya, the study reveals how Khasi women experience contradictory and challenging roles, relationship dynamics, and gender stereotypes in their lives. More studies should examine the problems and challenges that Khasi women face in their society despite the benefits of a matrilineal system.  2026 Bridgewater State College. All rights reserved.</text>
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            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="228065">
                <text>India; Khasi tribe; Matrilineal society; Meghalaya; Qualitative study; Social status; Standpoint feminism; Tribal women</text>
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              <elementText elementTextId="228066">
                <text>Bridgewater State College</text>
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              <elementText elementTextId="228067">
                <text>ISSN: 15398706;</text>
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            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="228070">
                <text>Restricted Access; Hardcopy may be available in the library</text>
              </elementText>
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                <text>Patriarchy and Wifehood: A Feminist Reading of One Part Woman and Singarevva and the Palace</text>
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                <text>Marriage is a socially approved relationship between a man and a woman that binds each other into a permanent, official relation of husband and wife. In a patriarchal culture, the husbands personify dominance and liberty, whereas the wives are expected to be the epitome of fidelity, fecundity and chastity. In the Indian context, the intense devotion of wives towards their husbands defines married women as pativratas. The present study intends to analyze the various aspects that contribute to and shape the formation of the identity of a wife in a marital space through Ponna and Singarevva, the female protagonists of the novels One Part Woman and Singarevva and the Palace, respectively. The paper demonstrates how these female protagonists identity as wives gets suppressed over a period of time and how they succeed in reconstructing their identities, sailing against all odds stacked against them. The paper views these issues through the feminist theoretical lens.  2024 IUP. All Rights Reserved.</text>
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              <elementText elementTextId="82619">
                <text>Divya R.; Sharmila N.</text>
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              <elementText elementTextId="82620">
                <text>IUP Journal of English Studies, Vol-19, No. 1, pp. 51-66.</text>
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                <text>2024-01-01</text>
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                <text>&lt;a href="" target="_blank" rel="noreferrer noopener"&gt;&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191774443&amp;amp;partnerID=40&amp;amp;md5=3930c09dbde929fa35951e3f35e8621d" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191774443&amp;amp;partnerID=40&amp;amp;md5=3930c09dbde929fa35951e3f35e8621d&lt;/a&gt;</text>
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              <elementText elementTextId="82624">
                <text>Restricted Access</text>
              </elementText>
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              <elementText elementTextId="82625">
                <text>ISSN: 9733728</text>
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            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
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                <text>English</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>
            <elementTextContainer>
              <elementText elementTextId="82629">
                <text>Divya R., CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Sharmila N., CHRIST (Deemed to be University), Karnataka, Bengaluru, India</text>
              </elementText>
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    <itemType itemTypeId="28">
      <name>Conference Paper</name>
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          <element elementId="39">
            <name>Creator</name>
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              <elementText elementTextId="266723">
                <text>Nikitha Reddy, K.; Iyer, Lakshmi Shankar; Sophia Shalini, G.B.</text>
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          <element elementId="50">
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                <text>Pattern Identification and Recommender System Based on Skin Undertone in ApparelA Deep Learning Approach</text>
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            </elementTextContainer>
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          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="266725">
                <text>01-01-2025</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="266726">
                <text>Lecture Notes in Networks and Systems;Volume;1277 LNNS;pp.279-294</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="266727">
                <text>&lt;a href="https://doi.org/10.1007/978-981-96-2700-4_21" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-96-2700-4_21&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105011292241?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105011292241?origin=resultslist&lt;/a&gt;</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="38">
            <name>Coverage</name>
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              <elementText elementTextId="266728">
                <text>Nikitha Reddy K., School of Business and Management, Christ University, Bengaluru, India; Iyer L.S., School of Business and Management, Christ University, Bengaluru, India; Sophia Shalini G.B., School of Business and Management, Christ University, Bengaluru, India</text>
              </elementText>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="266729">
                <text>The fashion industry has undergone significant transformations driven by technological advancements, shifting consumer preferences, and the rise of e-commerce. Traditional retail models have been disrupted, giving consumers unprecedented access to information and options, making personalization crucial for success. The industry has also embraced inclusivity, offering diverse clothing lines that cater to various body types, skin tones, and cultural backgrounds. Technology plays a pivotal role in this evolution, enhancing design, manufacturing, marketing, and sustainability practices. Despite these advancements, existing recommendation systems often overlook individual characteristics such as skin undertones and pattern preferences, as well as the dynamic nature of fashion trends. This study aims to address these limitations by developing a novel AI-powered recommendation system that integrates personalized factors with real-time fashion trends. The proposed system will analyze customer data, including browsing history, social media activity, and purchases, to provide accurate and tailored fashion suggestions. By incorporating individual traits and the latest trends, the research seeks to create a more effective and responsive recommendation engine, ultimately enhancing the consumer shopping experience and helping fashion brands stay competitive in a rapidly evolving market.  The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="266730">
                <text>AI-powered recommendation; E-commerce; Fashion trends; Personalization; Skin undertones</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="266731">
                <text>Springer Science and Business Media Deutschland GmbH</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="46">
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            <description>A related resource</description>
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              <elementText elementTextId="266732">
                <text>ISSN: 23673370; ISBN: 978-981962699-1;</text>
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            </elementTextContainer>
          </element>
          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="266733">
                <text>English</text>
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          </element>
          <element elementId="51">
            <name>Type</name>
            <description>The nature or genre of the resource</description>
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              <elementText elementTextId="266734">
                <text>Conference paper</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="266735">
                <text>Restricted Access; Hardcopy may be available in the library</text>
              </elementText>
            </elementTextContainer>
          </element>
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  </item>
  <item itemId="14376" public="1" featured="0">
    <collection collectionId="5">
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          <elementContainer>
            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="64">
                  <text>Articles</text>
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              </elementTextContainer>
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      </elementSetContainer>
    </collection>
    <itemType itemTypeId="19">
      <name>Article</name>
      <description>Faculty Publications -Articles</description>
    </itemType>
    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <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="98098">
                <text>Pattern of acquisition of theory of mind in pre-schoolers: A cross-sectional study from South India</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="98099">
                <text>Collectivistic; Individualistic; Pre-schoolers; Theory of mind</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="98100">
                <text>Background: Theory of Mind (ToM) is an important part of children's social cognitive development. The pattern of ToM acquisition depends on many factors including culture, the number of family members, and siblings. This study aimed to examine the pattern of ToM acquisition in Indian culture. Methods: We conducted a cross-sectional study among preschool children (three to six years) (N = 118) from rural and urban backgrounds. ToM development was assessed using the Wellman and Liu Theory of Mind Scale and the Children's Social Understanding Scale (parent report). Results: The order of acquisition of ToM in Indian children was as follows: diverse desire&amp;gt; diverse belief&amp;gt; knowledge access&amp;gt; explicit false belief&amp;gt; content false belief&amp;gt; hidden emotion. The number of siblings positively correlated with the total ToM task score, and the number of adults in the family did not show any positive correlation. Conclusions: Although India is a collectivistic country, the acquisition pattern of ToM in our population was like that of individualistic countries such as the United States.  2023 Elsevier B.V.</text>
              </elementText>
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          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="98101">
                <text>Vishwanath R.; Kamath A.G.; Thomas N.; Guddattu V.; Praharaj S.K.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="98102">
                <text>Asian Journal of Psychiatry, Vol-81</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="98103">
                <text>Elsevier B.V.</text>
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            </elementTextContainer>
          </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>
            <elementTextContainer>
              <elementText elementTextId="98104">
                <text>2023-01-01</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
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                <text>Vishwanath R., Department of Psychiatry, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Karnataka, Manipal, India; Kamath A.G., Department of Psychiatry, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Karnataka, Manipal, India; Thomas N., Consultant Clinical Psychologist, Karnataka, Manipal, India, PhD Scholar, Christ University, Karnataka, Bengaluru, India; Guddattu V., Department of Data Science, Prasanna School of Public Health, Manipal Academy of Higher Education, Karnataka, Manipal, India; Praharaj S.K., Department of Psychiatry, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Karnataka, Manipal, India</text>
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                <text>Manasa K.R., Dayananda Sagar University, Dept. of Ece, Harohalli, India; Naik P.K., Dayananda Sagar University, Dept. of Ai and Robotics, Harohalli, India; Shashi Kumar D., Christ University, Dept. of Ece, Bangalore, India</text>
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                <text>This paper introduces a microstrip patch antenna integrated with a novel artificial magnetic conductor (AMC) to reconfigure the antenna radiation pattern for 5 G sub- 6 GHz applications. By adopting AMC technology, the proposed antenna exhibits beam steering, pattern reconfiguration, and enhancement in gain, suitable for the high data rate demands of 5 G networks. The design process involves the evolution of antenna elements, the design of AMC unit cell (AMC-UC) to operate at the desired 3.75 GHz, and the development of an AMC integrated antenna that is suitable to control the antenna radiation pattern, achieving significant enhancements in signal directionality and minimizing interference. The simulation results demonstrate improved performance parameters, such as return loss and gain, highlighting the potential of AMC-assisted reconfigurable antennas in advancing 5G network coverage and capacity. This work provides valuable information on the achievement of versatile and efficient antenna designs for next-generation wireless communications.  2025 IEEE.</text>
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