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                <text>Bommesh, J.C.; Pitchaimuthu, M.; Manjunathagowda, D.C.; Ravishankar, K.V.; Manjesh, M.</text>
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                <text>Genetics Analysis and Identification of SSR Makers Linked to Downy Mildew Resistance Through BSA in Cucumber (Cucumis sativus L.)</text>
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                <text>Plant Breeding;</text>
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                <text>Bommesh J.C., Department of Horticulture, College of Agriculture, V C Farm Mandya, University of Agricultural Sciences, Mandya, Karnataka, Mandya, India; Pitchaimuthu M., Division of Vegetable Crops, ICAR-Indian Institute of Horticultural Research, Karnataka, Bengaluru, India; Manjunathagowda D.C., Division of Vegetable Crops, ICAR-Indian Institute of Horticultural Research, Karnataka, Bengaluru, India; Ravishankar K.V., Division of Basic Sciences, ICAR-Indian Institute of Horticultural Research, Karnataka, Bengaluru, India; Manjesh M., Department of Life Sciences, Christ University, Karnataka, Bengaluru, India</text>
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                <text>The research was carried out to divulge the genetics of inheritance, nature of gene action, correspondingly to identify the SSR markers linked to downy mildew resistance in cucumber. The parents Swarna Agethi and IIHR-438 were used and developed six generations (P1, P2, F1, F2, BC1 and BC2), the parents, filial generations and backcross populations were deployed for genetic studies. The Mendelian segregation suggested that the downy mildew resistance was governed by two pairs of recessive genes with inhibitory recessive epistasis (3 resistant: 13 susceptible) gene interaction. IIHR-438 possessed a higher degree of resistance; and epistatic interaction (additive dominance) was of greater importance than the main effect. Bulk segregant analysis (BSA) aided in identifying the two SSR markers (SSR 35 and SSR 413), which had polymorphism between resistant and susceptible bulk, and the markers among backcross population segregated in an equal (1:1) ratio. Genetic distance between identified markers was found to be 16.6 cM from the QTL IciMapping V3.2 software, which depicted two new quantitative trait loci (QTLs) on chromosome number 3. These findings on genetics of downy mildew resistance provide an implication to advance the reciprocal recurrent selection followed by pedigree selection to aid in the development of resistant varieties in cucumber.  2025 Wiley-VCH GmbH. Published by John Wiley &amp;amp; Sons Ltd.</text>
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                <text>Precision agriculture is a farm management technique which uses the help with the help of information technology to ensure that the crops and soil receive exactly what is required for optimum health and productivity. Genome analysis in plants helps to identify the plant structure and physiological traits. The identification of the right plant genome and the resulting traits help to optimize the cultivation of the plant for better productivity and adaptability. Genome analysis helps the biologist edit the plant genetic makeup structure to make the plant to adapt to the current conditions and thereby reducing the use of fertilizers. For precision agriculture, artificial intelligence techniques help to understand the relationships between plant genome and soil nutrient conditions that help in precision farming effectively reducing the usage of fertilizers by modifying the plants to adapt with the current soil characteristics.  The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2021.</text>
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                <text>Joseph A.; Chandra J.; Siddharthan S.</text>
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                <text>Lecture Notes in Networks and Systems, Vol-132, pp. 221-226.</text>
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                <text>Joseph A., CHRIST (Deemed to Be University), Bangalore, India; Chandra J., CHRIST (Deemed to Be University), Bangalore, India; Siddharthan S., CHRIST (Deemed to Be University), Bangalore, India</text>
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                <text>Genotoxic repercussion of high-intensity radiation (x-rays) on hospital radiographers</text>
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                <text>chromosomal abnormalities; DNA damage; dosimetry; ionizing radiation; micronucleus; sister chromatid exchange; x-ray technicians</text>
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                <text>Recent technological advances in the medical field have increased the plausibility of exposing humans to high-intensity wavelength radiations like x-rays and gamma rays while diagnosing or treating specific medical maladies. These radiations induce nucleotide changes and chromosomal alterations in the exposed population, intentionally or accidentally. A radiological investigation is regularly used in identifying the disease, especially by the technicians working in intensive care units. The current study observes the genetic damages like chromosomal abnormalities (CA) in clinicians who are occupationally exposed to high-intensity radiations (x-rays) at their workplaces using universal cytogenetic tools like micronucleus assay (MN), sister chromatid exchange and comet assay. The study was conducted between 100 exposed practitioners from the abdominal scanning, chest scanning, cranial and orthopedic or bone scanning department and age-matched healthy controls. We observed a slightly higher rate of MN and CA (p &amp;lt;.05) in orthopedic and chest department practitioners than in other departments concerning increasing age and duration of exposure at work. Our results emphasize taking extra precautionary measures in clinical and hospital radiation laboratories to protect the practitioners.  2022 The Authors. Environmental and Molecular Mutagenesis published by Wiley Periodicals LLC on behalf of Environmental Mutagen Society.</text>
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                <text>Kuchi Bhotla H.; Balasubramanian B.; Rengasamy K.R.R.; Arumugam V.A.; Alagamuthu K.K.; Chithravel V.; Chaudhary A.; Alanazi A.M.; Pappuswamy M.; Meyyazhagan A.</text>
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                <text>Environmental and Molecular Mutagenesis, Vol-64, No. 2, pp. 123-131.</text>
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                <text>&lt;a href="https://doi.org/10.1002/em.22523" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1002/em.22523&lt;/a&gt;
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                <text>Kuchi Bhotla H., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore, India; Balasubramanian B., Department of Food Science and Biotechnology, College of Life Science, Sejong University, Seoul, South Korea; Rengasamy K.R.R., Centre of Excellence for Pharmaceutical Sciences, North-West University, Potchefstroom, South Africa, Laboratory of Natural Products and Medicinal Chemistry (LNPMC), Department of Pharmacology, Saveetha Dental College, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai, India; Arumugam V.A., Medical Genetics and Epigenetics Laboratory, Department of Human Genetics and Molecular Biology, Bharathiar University, Tamil Nadu, Coimbatore, India; Alagamuthu K.K., Department of Biotechnology, Selvamm Arts and Science College (Autonomous), Tamil Nadu, Namakkal, India; Chithravel V., Department of Cosmeceutics, China Medical University, Taichung City, Taiwan; Chaudhary A., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore, India; Alanazi A.M., Pharmaceutical Chemistry Department, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia; Pappuswamy M., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore, India; Meyyazhagan A., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore, India</text>
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              <elementText elementTextId="128321">
                <text>Forensic Document Examination; Forensic science; Genuine handwriting; Variations in handwriting characteristics</text>
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                <text>Background: The present study aims to examine the extent of variation in genuine handwriting characteristics across 10years. One hundred samples (one admitted handwriting and three exemplars) were collected from 25 subjects (male and female, age ranging from 30 to 55) using purposive sampling technique. The admitted handwriting sample included documents like notebooks, wills, diaries, and record books that had been written 10years earlier, and 3 exemplars with the same information, written now in a similar kind of material. Both individual and class characteristics were analyzed in admitted as well as three exemplars which includes size of letters, slant, i-dot, t-bar (diacritics), humped letters (m, n, h), and formation of rounded letters (o, a, d, b, g, p, q). Results: Cohens kappa showed that there is a significant agreement between admitted and exemplars in the characteristics except for size. Conclusion: The results imply that once an adult has acquired a particular handwriting pattern, the master pattern of each letter, as well as both class and individual characteristics, remain unchanged. The size of the letters may change across age.  2019, The Author(s).</text>
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          <element elementId="39">
            <name>Creator</name>
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            <elementTextContainer>
              <elementText elementTextId="128323">
                <text>Thomas M.W.; Rajan S.K.</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="128324">
                <text>Egyptian Journal of Forensic Sciences, Vol-9, No. 1</text>
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            <elementTextContainer>
              <elementText elementTextId="128325">
                <text>Springer Berlin Heidelberg</text>
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                <text>2019-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1186/s41935-019-0154-2" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1186/s41935-019-0154-2&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070667208&amp;amp;doi=10.1186%2Fs41935-019-0154-2&amp;amp;partnerID=40&amp;amp;md5=0e63b20534bc6d8de562b55bf3f7966b" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070667208&amp;amp;doi=10.1186%2fs41935-019-0154-2&amp;amp;partnerID=40&amp;amp;md5=0e63b20534bc6d8de562b55bf3f7966b&lt;/a&gt;</text>
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            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="128328">
                <text>All Open Access; Gold Open Access</text>
              </elementText>
            </elementTextContainer>
          </element>
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            <description>A related resource</description>
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              <elementText elementTextId="128329">
                <text>ISSN: 2090536X</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>Online</text>
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              <elementText elementTextId="128331">
                <text>English</text>
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              <elementText elementTextId="128333">
                <text>Thomas M.W., Department of Forensic Science, JAIN (Deemed to be University), Bangalore, 560027, Karnataka, India; Rajan S.K., Department of Psychology, CHRIST (Deemed to be University), Bangalore, 560029, Karnataka, India</text>
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      <name>Article</name>
      <description>Faculty Publications -Articles</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="127875">
                <text>Geo-spatial crime analysis using newsfeed data in indian context</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="127876">
                <text>Crime; Crime Analysis; Crime Prediction; Law Enforcement; Newsfeed Crime Data; Predictive Analysis; Social Media</text>
              </elementText>
            </elementTextContainer>
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            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="127877">
                <text>Social media is the platforms where users communicate, interact, share ideas, career interest, pictures, video, etc. Social media gives an opportunity to analyze the human behavior. Crime analysis using data from social media such as Newsfeeds, Facebook, Twitter, etc., is becoming one of the emerging areas of research for law enforcement organizations across the world. The intelligence gathered through data is used for identifying future attacks and plan for reinforcements. This article focuses on the implementation of textual data analytics by collecting the data from different newsfeeds and provides an optimized visualization. This article establishes a framework for better prediction of 16 types of crime in India and the Bangalore area by providing the coordinates of the crime area, along with the crime which might happen there.  2019, IGI Global.</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="127878">
                <text>Boppuru P.R.; Ramesha K.</text>
              </elementText>
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            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="127879">
                <text>International Journal of Web-Based Learning and Teaching Technologies, Vol-14, No. 4, pp. 49-64.</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="127880">
                <text>IGI Global</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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              <elementText elementTextId="127881">
                <text>2019-01-01</text>
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            <name>Identifier</name>
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                <text>&lt;a href="https://doi.org/10.4018/IJWLTT.2019100103" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.4018/IJWLTT.2019100103&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85071275120&amp;amp;doi=10.4018%2FIJWLTT.2019100103&amp;amp;partnerID=40&amp;amp;md5=5f63676498e3fe9aef7557925f97e89f" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85071275120&amp;amp;doi=10.4018%2fIJWLTT.2019100103&amp;amp;partnerID=40&amp;amp;md5=5f63676498e3fe9aef7557925f97e89f&lt;/a&gt;</text>
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            </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="127883">
                <text>Restricted Access</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="46">
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            <description>A related resource</description>
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              <elementText elementTextId="127884">
                <text>ISSN: 15481093</text>
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            </elementTextContainer>
          </element>
          <element elementId="42">
            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
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              <elementText elementTextId="127885">
                <text>Online</text>
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          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="127886">
                <text>English</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="51">
            <name>Type</name>
            <description>The nature or genre of the resource</description>
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              <elementText elementTextId="127887">
                <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>
            <elementTextContainer>
              <elementText elementTextId="127888">
                <text>Boppuru P.R., CHRIST (Deemed to Be University), Bengaluru, India; Ramesha K., Dr. Ambedkar Institute of Technology, Bangalore, India</text>
              </elementText>
            </elementTextContainer>
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  <item itemId="14425" public="1" featured="0">
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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="64">
                  <text>Articles</text>
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    <itemType itemTypeId="19">
      <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>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="98781">
                <text>Geo-spatial crime density attribution using optimized machine learning algorithms</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="98782">
                <text>Crime analysis; Crime density; Kernel density estimation; Newsfeeds</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="98783">
                <text>Law enforcement agencies use various crime analysis tools. A large amount of crime data has enabled crime analysis. In this paper, the proposed research methodology uses Kernel Density Estimation (KDE) in a Geographical Information System (GIS) to analyze crime-type data. Bangalore and India newsfeeds are considered for experimental purposes. The paper introduces an optimized KDE machine learning algorithm that detects hotspots, estimates a locations crime rate, and identifies point pattern lows and highs. As a result of the experiment, the proposed methodology identified that the bandwidth of the Geographical information system influences the visualization of crime density. The paper also aids in visually determining the appropriate bandwidth for the problem using an optimized KDE algorithm. We had identified a significant correlation between Newsfeed data and Official Government data, both overall Crime and by crime type. The proposed KDE model achieved a predictive performance of 77.49%.  2023, The Author(s), under exclusive licence to Bharati Vidyapeeth's Institute of Computer Applications and Management.</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="98784">
                <text>Prathap B.R.</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="98785">
                <text>International Journal of Information Technology (Singapore), Vol-15, No. 2, pp. 1167-1178.</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="98786">
                <text>Springer Science and Business Media B.V.</text>
              </elementText>
            </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="98787">
                <text>2023-01-01</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="98788">
                <text>&lt;a href="https://doi.org/10.1007/s41870-023-01160-7" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/s41870-023-01160-7&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147359096&amp;amp;doi=10.1007%2Fs41870-023-01160-7&amp;amp;partnerID=40&amp;amp;md5=ca2bb5e4f416b06ee48473435c4bf87b" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147359096&amp;amp;doi=10.1007%2fs41870-023-01160-7&amp;amp;partnerID=40&amp;amp;md5=ca2bb5e4f416b06ee48473435c4bf87b&lt;/a&gt;</text>
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          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="98789">
                <text>Restricted Access</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="46">
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            <description>A related resource</description>
            <elementTextContainer>
              <elementText elementTextId="98790">
                <text>ISSN: 25112104</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="42">
            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="98791">
                <text>Online</text>
              </elementText>
            </elementTextContainer>
          </element>
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            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="98792">
                <text>English</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="51">
            <name>Type</name>
            <description>The nature or genre of the resource</description>
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              <elementText elementTextId="98793">
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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="98794">
                <text>Prathap B.R., Department of Computer Science and Engineering, CHRIST (Deemed to Be University), #325(45), Kengeri-Campus, Mysore Road, Karnataka, Bangalore, 560074, India</text>
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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>
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              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="3139">
                  <text>Faculty Publications</text>
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    <itemType itemTypeId="28">
      <name>Conference Paper</name>
      <description>Faculty Publications- Conference Papers</description>
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    <elementSetContainer>
      <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="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="273698">
                <text>Shrivastava, Abhay; George, Jossy P; Paul Alapatt, Bosco</text>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="273699">
                <text>Geochemical Data Exploration using Machine Learning Methods</text>
              </elementText>
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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="273700">
                <text>01-01-2025</text>
              </elementText>
            </elementTextContainer>
          </element>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="273701">
                <text>Proceedings of 6th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks, ICICV 2025;pp.484-489</text>
              </elementText>
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              <elementText elementTextId="273702">
                <text>&lt;a href="https://doi.org/10.1109/ICICV64824.2025.11085828" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICICV64824.2025.11085828&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105013073769?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105013073769?origin=resultslist&lt;/a&gt;</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="273703">
                <text>Shrivastava A., Christ University, India; George J.P., Christ University, India; Paul Alapatt B., Christ University, India</text>
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            <description>An account of the resource</description>
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              <elementText elementTextId="273704">
                <text>This study introduces a novel ensemble model combining Support Vector Machine (SVM) and Gradient Boosting algorithm (GBC). The model's performance is compared with the two single layered model namely K-Nearest Neighbors (KNN) and Gaussian Naive Bayes (GNB) on a publicly available dataset. Further, Performance is measured using standard metrics such as accuracy, precision, and recall. To have the excellence in detection of types of rocks based on its properties this research explores the stacking approach, contributing in the field of geological studies and also for future exploration making it effective and efficient in identification of mineral deposits.  2025 IEEE.</text>
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            <description>The topic of the resource</description>
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              <elementText elementTextId="273705">
                <text>Classification; Gaussian Nae Bayes; Geochemical exploration; Gradient Boosting algorithm; igneous rocks; KNN; Machine learning; Stacking and ensemble; SVM</text>
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              <elementText elementTextId="273706">
                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>ISBN: 979-833151175-3;</text>
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            <elementTextContainer>
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                <text>Madhumitha, Sathya; Naduvath, Sudev</text>
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                <text>Geodetic sets in n-inordinate invariant intersection graphs</text>
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                <text>Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics;Volume;74;Issue;4;pp.723-732</text>
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                <text>Madhumitha S., Department of Mathematics, Christ University, Bangalore, India; Naduvath S., Department of Mathematics, Christ University, Bangalore, India</text>
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                <text>Algebraic graph theory is a rapidly growing research area in which several graphs based on algebraic structures are introduced and investigated. The algebraic intersection graphs, called the n-inordinate invariant intersection graphs, and the n-inordinate invariant non-intersection graphs, have been constructed on the symmetric group and various properties of these graphs are studied, in the literature. In this article, we analyse the structure of these graphs by examining different types of geodetic sets in them.  2025, Ankara University Faculty of Science. All rights reserved.</text>
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                <text>convexity; distances in graphs; geodesic; Invariant intersection graphs; n-inordinate invariant intersection graphs</text>
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              <elementText elementTextId="223863">
                <text>Ankara University Faculty of Science</text>
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                <text>ISSN: 13035991;</text>
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              <elementText elementTextId="223867">
                <text>All Open Access; Gold Open Access</text>
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                <text>Geographical and Gender Disparities in Financial Inclusion Diffusion in India</text>
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                <text>Financial inclusion; Gender disparity; Geographical disparity; India; Penetration</text>
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                <text>Financial inclusion is providing an opportunity to use essential banking and financial services to the less-privileged people and their businesses in order to accomplish an inclusive society and the inclusive economy. The efforts of policy makers towards achieving financial inclusion in India yielded fruitful results. Numbers of savings accounts, numbers of credit accounts, numbers of deposits, numbers of ATMs, and loan distribution to the micro and small enterprises have significantly improved in recent times. This study intends to provide answer to the question raised by examining the penetration of financial inclusion area wise, region wise and based on gender. This study has employed descriptive research design and has used secondary data for analysis. The study has found that there are geographical and gender disparities in financial inclusion penetration and financial inclusion penetration varies in terms of gender as well in India.  Indian Institute of Finance.</text>
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                <text>Ravikumar T.; Murugan N.; Suhashini J.</text>
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                <text>Finance India, Vol-35, No. 4, pp. 1453-1477.</text>
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                <text>Indian Institute of Finance</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-s2.0-85122251913&amp;amp;partnerID=40&amp;amp;md5=00c35e191e0c1975a678b41c8e984a1a" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122251913&amp;amp;partnerID=40&amp;amp;md5=00c35e191e0c1975a678b41c8e984a1a&lt;/a&gt;</text>
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                <text>ISSN: 9703772</text>
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                <text>Ravikumar T., CHRIST (Deemed to be University), Hosur Road, Bhavani Nagar, S.G. Palya, Central Campus, Karnataka, Bangalore, 560029, India; Murugan N., PSNA College of Engineering and Technology, Psnacet, Kothandaraman Nagar, Tamil Nadu, Dindigul, 624622, India; Suhashini J., PSNA College of Engineering and Technology, Psnacet, Kothandaraman Nagar, Tamil Nadu, Dindigul, 624622, India</text>
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              <elementText elementTextId="285749">
                <text>Dixit, Pragti; Bhatnagar, Mukul; Varghese, Nikhil</text>
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          <element elementId="50">
            <name>Title</name>
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                <text>Geographical Approaches to Global Sustainable Development Goals in BRICS Countries</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>
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              <elementText elementTextId="285751">
                <text>01-01-2025</text>
              </elementText>
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          <element elementId="48">
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            <elementTextContainer>
              <elementText elementTextId="285752">
                <text>Geographical Approaches to Global Sustainable Development Goals (SDGs);pp.225-236</text>
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                <text>&lt;a href="https://doi.org/10.4018/979-8-3373-1300-9.ch009" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.4018/979-8-3373-1300-9.ch009&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105020773439?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105020773439?origin=resultslist&lt;/a&gt;</text>
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                <text>Dixit P., Chandigarh University, Punjab, India; Bhatnagar M., Graphic Era University, India; Varghese N., Christ University, Karnataka, India</text>
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          <element elementId="41">
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            <description>An account of the resource</description>
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              <elementText elementTextId="285755">
                <text>Geographical factors play a key role in the realization of SDG's across all countries of the world. Present study is an endeavor in this direction and attempts to evaluate the impact of urbanization, agriculture, and water resource availability on the achievement of sustainable development of BRICS nations. The study employs Panel data analysis using Fixed Effects Model (FEM) and Random Effects Model (REM) along with the application of Hausman Test to determine the appropriate model selection. The results reveal that urbanization significantly enhances SDG progress, agriculture shows an insignificant effect, and water resource availability negatively impacts sustainability, indicating the urgent need for strategic urban planning, agricultural reforms, and efficient water management. The study also highlights that country-specific factors play a critical part in shaping sustainability outcomes, reinforcing the necessity for BRICS policymakers to adopt geographically tailored approaches that align economic growth with environmental sustainability.  2026, IGI Global Scientific Publishing.</text>
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              <elementText elementTextId="285756">
                <text>IGI Global</text>
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                <text>ISBN: 979-833731302-3; 979-833731300-9;</text>
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                <text>Restricted Access; Hardcopy may be available in the library</text>
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                <text>Madhusudhan, Uma; James, Leena</text>
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                <text>Geographies of Gender and Leadership: Regional Inequalities and Women in Omans Oil &amp;amp; Gas Sector</text>
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            </elementTextContainer>
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                <text>01-01-2025</text>
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              <elementText elementTextId="226531">
                <text>Journal of Applied Bioanalysis;Volume;11;Issue;3;pp.620-628</text>
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          <element elementId="43">
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                <text>&lt;a href="https://doi.org/10.53555/jab.v11i3.277" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.53555/jab.v11i3.277&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105011598990?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105011598990?origin=resultslist&lt;/a&gt;</text>
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              <elementText elementTextId="226533">
                <text>Madhusudhan U., School of Business Management. Christ (Deemed to be University), Karnataka, Bengaluru, India; James L., School of Business Management. Christ (Deemed to be University), Karnataka, Bengaluru, India</text>
              </elementText>
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              <elementText elementTextId="226534">
                <text>Introduction / Main Objective: This research explores Omani women's spatial and cultural barriers to leadership in the Oil &amp;amp; Gas industry. It looks at geographic location and regional differences and how these affect women's access to and experience of leadership. Background of the Problem: While significant advancements have been made in women's participation in the labor force in Oman, spatial disparities still exist whereby women in urban areas have more chances of leadership compared to women in rural or rural-remote towns. Cultural expectations and infrastructural constraints add to these geographical disparities. Novelty: This study innovatively combines a geographic perspective in gender and leadership research in Oman's Oil &amp;amp; Gas sector with an emphasis on regional disparities influencing women's career development. Research Methods: A qualitative method involving questionnaires was conducted among thirty women managers within various regions of Oman. Responses were processed to determine spatially connected obstacles and coping mechanisms. Findings: Women in urban areas like Muscat enjoy better access to education, professional networks, and organizational support, while women in rural areas are confronted by cultural conservatism, poor infrastructure, and lower promotion opportunities. There was an urban-rural leadership training and family support divide. Conclusion: Geography profoundly influences women's leadership paths in Oman's Oil &amp;amp; Gas industry. For policies to enhance gender equity, leadership development policy needs to take regional disparities into consideration and adapt interventions to local contexts.  2025, Green Publication. All rights reserved.</text>
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                <text>Suhasini K., Department of Mathematics, SR University, Ananthasagar, Hasanparthy, Telangana, Warangal, 506371, India; Ravi Kiran G., Department of Mathematics, SR University, Ananthasagar, Hasanparthy, Telangana, Warangal, 506371, India; Kavya N.S., Centre for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 560029, India; Varsha C.S., Department of P.G. Studies and Research in Mathematics, Kuvempu University, Shankaraghatta, Shivamogga, 577451, India; Venkatesha V., Department of P.G. Studies and Research in Mathematics, Kuvempu University, Shankaraghatta, Shivamogga, 577451, India</text>
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                <text>In this paper, the notion of generalized Ricci-type soliton is introduced and its geometrical relevance on Riemannian CR-manifold is established. Particularly, it is shown that a Riemannian CR-manifold is Einstein when its metric is a generalized Ricci-type soliton. Next, it has been proved that a Riemannian CR-manifold is Einstein-like, when its metric is a generalized gradient Ricci-type almost soliton (or generalized Ricci-type almost soliton for which the soliton vector field is collinear to the CR-vector field). Finally, we present an example of generalized Ricci-type solitons which illustrate our results.  2022 Elsevier B.V.</text>
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                <text>Kumara H.A., Department of Mathematics, Kuvempu University, Shankaraghatta, Karnataka, 577 451, India; Naik D.M., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 560029, India; Venkatesha V., Department of Mathematics, Kuvempu University, Shankaraghatta, Karnataka, 577 451, India</text>
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                <text>A steady plane variably inclined magnetohydrodynamic flow of an inviscid incompressible fluid of infinite electrical conductivity studied. Introducing the vorticity, magnetic flux density, and energy functions along with the variable angle between magnetic field and velocity vector, governing equations are reformulated. The resulting equations are solved to analyze the geometry of the fluid flow. Considering streamlines to be parallel, stream function approach is applied to obtain the pattern for magnetic lines and the complete solution to the flow variables. Next considering parallel magnetic lines, magnetic flux function approach is applied to obtain streamlines and the complete solution of the flow. A graphical analysis of pressure variation is made in all the cases.  2020, Springer Nature Singapore Pte Ltd.</text>
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                <text>Lecture Notes in Mechanical Engineering, pp. 47-74.</text>
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                <text>Roy Chowdhury P., School of Business and Management, Christ University, Bangalore, India</text>
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                <text>Oil prices are the outcome of a highly integrated, dynamic global system. With geopolitical risk and trade policy uncertainty contribute to the volatile world markets, the study analyses the impact of geopolitical risk, trade policy uncertainty on crude oil price globally. It considers data from 2000 to 2023 and finds out systematic link between the three variables. The data proved a long run impact of trade policy uncertainty and geopolitical risk on the crude oil. This enhances the influence of the variables and leads to implementation of policy measures in global markets. The data are tested through Auto Regressive Distributed Lag (ARDL) model and checked for long run cointegration and short run association. The policy, thus, has been suggested as to improve the transition towards sustainability globally. Though the impact of geopolitical risk and trade policy uncertainty is not strong on crude oil price in world market, it can affect the short run volatility. Thus, mitigation, diversification and transparency are the key factors to strengthen the existing situation in world.  2026, IGI Global Scientific Publishing. All rights reserved.</text>
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                <text>Geopolitical shockwaves: the Russia-Ukraine wars impact on BRICS financial markets</text>
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                <text>Gopal S., Symbiosis Institute of Business Management (SIBM), Symbiosis International (Deemed University), Karnataka, Bengaluru, 560100, India; Thangaraj V., Prin. L. N. Welingkar Institute of Management Development and Research, Karnataka, Bengaluru, India; Naveen Kumara R., Department of Commerce, School of Commerce, Finance and Accountancy, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Rupa R., School of Commerce and Professional Studies, Marian College Kuttikkanam Autonomous, Kerala, Idukki, India</text>
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                <text>The Russia-Ukraine War triggered global financial market turmoil and disrupted the global supply chain, including agriculture and energy. This study explores the impact of the Russia-Ukraine war on BRICS nations stock markets, highlighting varying degrees of volatility and contagion effects. It examines the extent of contagion in the BRICS stock markets and their financial linkages by employing the multivariate DCC-GARCH model. The study reveals sensitive turbulence in Russian markets post-crisis, influenced by its direct involvement in the conflict. Brazil and China experienced higher market volatility after the event, and Brazil shifted its financial linkages with the global market. Conversely, the Indian market experienced eased overall volatility, but its financial linkage with Russia has increased due to its trade partnership. In the post-event period, China and South African markets indicate structural market decoupling. The long-term volatility persists over the short-term volatility of BRICS market dynamics. This study underscores the implications for investors and policymakers, emphasising the need for adjustments in monetary and fiscal policies to stabilise financial markets amid geopolitical uncertainties.  2025 The Author(s). Published by Informa UK Limited, trading as Taylor &amp;amp; Francis Group.</text>
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                <text>BRICS nations; contagion effect; Economics; Finance; Geopolitical risk; International Relations; Investment &amp;amp; Securities; Russia-Ukraine war; stock markets</text>
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                <text>ISSN: 23322039;</text>
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                <text>Geopolymer concrete paving blocks made with Recycled Asphalt Pavement (RAP) aggregates towards sustainable urban mobility development</text>
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          <element elementId="49">
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              <elementText elementTextId="126494">
                <text>compressive strength; concrete; fly ash; geopolymer; pavers; RAP</text>
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                <text>Policy makers in India have realized the importance of facility for pedestrians and non- motorized vehicles in an urban infrastructure setup. This has resulted in increased utilization of construction materials like Portland cement and crushed stone, which are not environmentally friendly and sustainable. The current study presents the development of paver blocks for pedestrian facility using different wastes. Geopolymer concrete was synthesized by fly ash and recycled asphalt pavement aggregates for making of paver blocks. Paver blocks were produced in laboratory with recycled asphalt pavement aggregate replacement levels of 0%, 20%, 40%, 60% and 80% by weight of virgin coarse and fine aggregates. The developed paver blocks were tested for dimensions and tolerances, water absorption, compressive strength and abrasion resistance as per IS15658:2006 standard. The results of the laboratory study show that recycled asphalt pavement aggregates can be introduced into geopolymer matrix to produce paver blocks of desirable quality. Furthermore, its use in pedestrian facilities provides a new avenue for managing the excessive waste, which otherwise goes in landfills, incurring loss to the paving industry. Therefore, the proposed method can help decision makers to effectively utilize recycled asphalt pavement in paving industry with environment-friendly approach.  2020 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license.</text>
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              <elementText elementTextId="126496">
                <text>Hossiney N.; Sepuri H.K.; Mohan M.K.; Chandra K S.; Lakshmish Kumar S.; Thejas H.K.</text>
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              <elementText elementTextId="126497">
                <text>Cogent Engineering, Vol-7, No. 1</text>
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                <text>&lt;a href="https://doi.org/10.1080/23311916.2020.1824572" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1080/23311916.2020.1824572&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091998986&amp;amp;doi=10.1080%2F23311916.2020.1824572&amp;amp;partnerID=40&amp;amp;md5=aa9482fc4090a3b97adb0e7c4dc6a45e" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091998986&amp;amp;doi=10.1080%2f23311916.2020.1824572&amp;amp;partnerID=40&amp;amp;md5=aa9482fc4090a3b97adb0e7c4dc6a45e&lt;/a&gt;</text>
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              <elementText elementTextId="126501">
                <text>All Open Access; Gold Open Access</text>
              </elementText>
            </elementTextContainer>
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                <text>ISSN: 23311916</text>
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                <text>Hossiney N., Department of Civil Engineering, Christ (Deemed to Be University), Bangalore, India; Sepuri H.K., School of Engineering and Technology, Christ (Deemed to Be University), Bangalore, India; Mohan M.K., School of Engineering and Technology, Christ (Deemed to Be University), Bangalore, India; Chandra K S., School of Engineering and Technology, Christ (Deemed to Be University), Bangalore, India; Lakshmish Kumar S., School of Engineering and Technology, Christ (Deemed to Be University), Bangalore, India; Thejas H.K., School of Engineering and Technology, Christ (Deemed to Be University), Bangalore, India</text>
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      <description>Faculty Publications- Conference Papers</description>
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              <elementText elementTextId="266242">
                <text>Uppaluri, Sirisha; Teena Sojan, V.V.; Pradhan, Arpan; Mani, Shibu K.; Sahoo, Kirti Kanta</text>
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                <text>Geospatial Analysis of Groundwater Recharge Zones in Bengaluru</text>
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            <elementTextContainer>
              <elementText elementTextId="266245">
                <text>Lecture Notes in Civil Engineering;Volume;847 LNCE;pp.155-166</text>
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              <elementText elementTextId="266246">
                <text>&lt;a href="https://doi.org/10.1007/978-981-95-8836-7_13" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-95-8836-7_13&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105040551633?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105040551633?origin=resultslist&lt;/a&gt;</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="266247">
                <text>Uppaluri S., Civil Engineering Department, Christ University, Bengaluru, India; Teena Sojan V.V., Civil Engineering Department, Christ University, Bengaluru, India; Pradhan A., Civil Engineering Department, Christ University, Bengaluru, India; Mani S.K., Civil Engineering Department, Christ University, Bengaluru, India; Sahoo K.K., School of Civil Engineering, Kalinga Institute of Industrial Technology Deemed to Be University, Bhubaneswar, India</text>
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                <text>Urban flooding in cities like Bengaluru results from excessive rainfall overwhelming drainage systems, worsened by rapid urbanisation and the expansion of impervious surfaces. This study investigates the causes and consequences of urban flooding in Bengaluru, highlighting the decline in natural drainage and the encroachment of water bodies. Using QGIS, a geographic information system tool, spatial data from sources like NRSCs Bhuvan portal and USGS were analysed to identify flood-prone areas, drainage networks, and land use changes. The analysis revealed critical flooding zones such as Bellandur, Bommanahalli, and Mahadevapura. The study also emphasises the importance of implementing Best Management Practices (BMPs) and Rainwater Harvesting (RWH) strategies. Land Use and Land Cover (LULC) mapping, soil infiltration data, and rainfall patterns were assessed to understand urban hydrology. The findings stress the need for climate-resilient infrastructure, lake rejuvenation, and improved public awareness to mitigate future urban flood risks in Bengaluru.  The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.</text>
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            <description>The topic of the resource</description>
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              <elementText elementTextId="266249">
                <text>Drainage infrastructure; Land use land cover (LULC); Rainwater harvesting (RWH); Urban flooding</text>
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                <text>ISSN: 23662557; ISBN: 978-981958835-0;</text>
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                <text>Crime analysis; Crime density; Crime prediction; Forecasting; Hotspot detection; Kernel density estimation; Machine learning algorithms; Social media</text>
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                <text>People use social media to engage, connect, and exchange ideas, for professional interests, and for sharing images, videos, and other contents. According to the investigation, social media allows researchers to examine individual behavior features and geographic and temporal interactions. According to studies, criminology has become a prominent subject of study globally, using data gathered from online social media sites such as Facebook, News feed articles, Twitter, and other sources. It is possible to obtain useful information for the analysis of criminal activity by using spatiotemporal linkages in user-generated content. The study refers to the application of text-based data science by gathering data from several news sources and visualizing it. This research is motivated by the abovementioned work from various social media crimes and government crime statistics. This chapter looks at 68 various crime keywords to help you figure out what kind of crime you are dealing with concerning geographical and temporal data. For categorizing crime into subgroups of categories with geographical and time aspects using news feeds, the Naive Bayes classification algorithm is used. For retrieving keywords from news feeds, the Mallet package is used. The hotspots in crime hotspots are identified using the K-means method. The KDE approach is utilized to address crime density and this methodology has solved the difficulties that the current KDE algorithm has. The study results demonstrated equivalence between the suggested crimes forecasting model as well as the ARIMA model.  2022 Elsevier Inc. All rights reserved.</text>
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                <text>Artificial Intelligence and Machine Learning for EDGE Computing, pp. 87-102.</text>
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                <text>Prathap B.R., Computer Science and Engineering, CHRIST, Karnataka, Bengaluru, India</text>
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                <text>Geospatial crime analysis to determine crime density using kernel density estimation for the indian context</text>
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                <text>Crime; Crime Analysis; Crime Density; Crime Prediction; Kernel Density Estimation; Law Enforcement; Newsfeed Crime Data; Predictive Analysis; Social Media</text>
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                <text>Crime is the most common social problem faced in a developing country. Crime affects the reputation of a nation and the quality of life of its citizens. Crime also affects the economy of the country, increasing the financial burden of the government due to the need for expenditure in the police force and judicial system. Various initiatives are taken by law enforcement to reduce the crime rate. One such initiative, real-time accurate crime predictions can help reduce the occurrence of crime. In this paper, a crime analytics platform is developed, which processes newsfeed data analysis for different types of crimes and identify crime hotspots using Kernel Density Estimation method. This system enables criminologists to understand the hidden relationships between crime and geographical locations. Interactive visualization features are available that enable law enforcement agencies to predict crime.  2020 American Scientific Publishers.</text>
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                <text>Prathap B.R.; Ramesha K.</text>
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                <text>Journal of Computational and Theoretical Nanoscience, Vol-17, No. 1, pp. 74-86.</text>
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                <text>&lt;a href="https://doi.org/10.1166/jctn.2020.8632" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1166/jctn.2020.8632&lt;/a&gt;
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                <text>Prathap B.R., Faculty of Engineering, CHRIST (Deemed to Be University), Bengaluru, Karnatakaz, 566060, India; Ramesha K., Dr. Ambedkar Institute of Technology Engineering, Bengaluru, Karnataka, 566056, India</text>
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