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                <text>Nano Zinc Oxide Particle Synthesis from Bio-Waste Selaginella willdenowii Leaf Extract: A Multi-Faceted Approach for Environmental and Biomedical Applications</text>
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                <text>activity; nanoparticles; phytochemicals; Selaginella willdenowii; zinc oxide</text>
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                <text>Selaginella willdenowii, a commonly used greenhouse fern, was often used as a biowaste to synthesize zinc oxide nanoparticles (ZnO NPs) in an eco-friendly and cost-effective way. UV-Visible spectra studies were carried out to confirm the synthesis of S. willdenowii-mediated ZnO NPs (SW-ZnO NPs), and a peak at 367nm with a sharp band gap of 3.415eV was observed. The X-ray diffraction analysis indicated that the crystalline size of the synthesized SW-ZnO NPs was 11.971nm. The phytochemicals present in the extracts and the compounds involved in the reduction of metal to nanoparticles were determined by Fourier Transform Infrared analysis. Scanning electron microscopy was utilized to analyze the surface morphology and size of the obtained SW-ZnO NPs. The examination revealed that they exhibited a hexagonal shape, with an average size falling within the range of 17-23nm. Under ultra-violet light, reactive blue 220 and reactive yellow 145 dyes showed 78.06% and 60.14% degradation, showing potential photocatalytic degradation activity. The synthesized SW-ZnO NPs also exhibited antimicrobial activity against bacterial strains (Escherichia coli and Bacillus subtilis) and fungal cultures (Candida tropicalis and Candida albicans) showed cytotoxic activity against Hep-G2 cell lines. Our results suggest the green synthesized SW-ZnO NPs have potential photocatalytic, antimicrobial and cytotoxic potential.   2024 World Scientific Publishing Company.</text>
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                <text>Sudheesh A.K.; Alwin G.C.; Joseph K.S.; Jaison J.P.; Jose J.</text>
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                <text>Nano, Vol-19, No. 12</text>
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                <text>2024-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1142/S179329202450084X" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1142/S179329202450084X&lt;/a&gt;
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                <text>ISSN: 17932920</text>
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                <text>Sudheesh A.K., Department of Life Sciences, Christ University, Karnataka, Bangalore, India; Alwin G.C., Department of Life Sciences, Christ University, Karnataka, Bangalore, India; Joseph K.S., Department of Life Sciences, Christ University, Karnataka, Bangalore, India; Jaison J.P., Department of Life Sciences, Christ University, Karnataka, Bangalore, India; Jose J., Department of Life Sciences, Christ University, Karnataka, Bangalore, India</text>
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          <element elementId="50">
            <name>Title</name>
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                <text>Knowledge transfer: An information theory perspective</text>
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                <text>Codification; Entropy; Information theory; Knowledge sharing; Knowledge transfer; Personalization; Tacitness of knowledge</text>
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                <text>Personalization and codification are two dominant knowledge transfer (KT) mechanisms found in organizations and organizational networks. This paper proposes a theoretical model of KT that explains organizations' choice of KT mechanisms in terms of the tacitness of knowledge being shared and the corresponding information content. Shannon's entropy, an information theoretical concept, has been used to define the constructs of tacitness and information content and explain their influence on the choice of the corresponding KT mechanisms. Contributions of the paper include (a) use of information content as a predictor of the choice of KT mechanisms, (b) development of an expression for tacitness, and an intuitive explanation of the tacit-explicit continuum, (c) characterization of product variety in terms of information content, and (d) development of a KT theoretical model that can be operationalized for predicting the choice of KT mechanisms in real-life situations.  2017 The OR Society.</text>
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                <text>Sudhindra S.; Ganesh L.S.; Arshinder K.</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="134802">
                <text>Knowledge Management Research and Practice, Vol-15, No. 3, pp. 400-412.</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="134803">
                <text>Palgrave Macmillan Ltd.</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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              <elementText elementTextId="134804">
                <text>2017-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1057/s41275-017-0060-z" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1057/s41275-017-0060-z&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85021788993&amp;amp;doi=10.1057%2Fs41275-017-0060-z&amp;amp;partnerID=40&amp;amp;md5=421e4ccecb35b80eab454b29aa0a0477" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85021788993&amp;amp;doi=10.1057%2fs41275-017-0060-z&amp;amp;partnerID=40&amp;amp;md5=421e4ccecb35b80eab454b29aa0a0477&lt;/a&gt;</text>
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              <elementText elementTextId="134806">
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              <elementText elementTextId="134807">
                <text>ISSN: 14778238</text>
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            <name>Format</name>
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                <text>English</text>
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                <text>Sudhindra S., Institute of Management, Christ University, Hosur Road, Bangalore, 560029, India; Ganesh L.S., Department of Management Studies, Indian Institute of Technology Madras, Chennai, 600036, India; Arshinder K., Department of Management Studies, Indian Institute of Technology Madras, Chennai, 600036, India</text>
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          <element elementId="50">
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                <text>Classification of supply chain knowledge: A morphological approach</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="138714">
                <text>Epistemological classification; Knowledge classification; Knowledge management; Morphological analysis; Ontological classification; Supply chain knowledge</text>
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              <elementText elementTextId="138715">
                <text>Purpose  The purpose of the article is to create a knowledge classification model that can be used by knowledge management (KM) practitioners for establishing a knowledge management framework (KMF) in a supply chain (SC) network. Epistemological and ontological aspects of knowledge have been examined. SC networks provide a more generic setting for managing knowledge due to the additional issues concerning flow of knowledge across the boundaries of organizations. Design/methodology/approach  Morphological analysis has been used to build the knowledge classification model. Morphological approach is particularly useful in exploratory research on concepts/ entities having multiple dimensions. Knowledge itself has been shown in literature to have many characteristics, and the methodology used has enabled a comprehensive classification scheme based on such characteristics. Findings  A single comprehensive classification model for knowledge that exists in SC networks has been proposed. Nine characteristics, each possessing two or more value options, have been finally included in the model. Research limitations/implications  Knowledge characteristics have been mostly derived from past research with the exception of three which have been introduced without empirical evidence. Although the article is primarily about SC knowledge, the results are fairly generic. Practical implications  The proposed model would be of use in developing KM policies, procedures and establishing knowledge management systems in SC networks. The model will cater to both system and people aspects of a KMF. Originality/value  The proposed knowledge classification model based on morphological analysis fills a gap in a vital area of research in KM as well as SC management. No similar classification model of knowledge with all its dimensions has been found in literature.  Emerald Group Publishing Limited.</text>
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                <text>Sudhindra S.; Ganesh L.S.; Arshinder K.</text>
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              <elementText elementTextId="138717">
                <text>Journal of Knowledge Management, Vol-18, No. 4, pp. 812-823.</text>
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              <elementText elementTextId="138718">
                <text>Emerald Group Holdings Ltd.</text>
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                <text>&lt;a href="https://doi.org/10.1108/JKM-12-2013-0490" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1108/JKM-12-2013-0490&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84927518827&amp;amp;doi=10.1108%2FJKM-12-2013-0490&amp;amp;partnerID=40&amp;amp;md5=d6b33172868a5103a0e50eb54519eea4" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-84927518827&amp;amp;doi=10.1108%2fJKM-12-2013-0490&amp;amp;partnerID=40&amp;amp;md5=d6b33172868a5103a0e50eb54519eea4&lt;/a&gt;</text>
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                <text>ISSN: 13673270</text>
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                <text>English</text>
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                <text>Sudhindra S., Institute of Management, Christ University, Bangalore, India; Ganesh L.S., Department of Management Studies, Indian Institute of Technology, Chennai, India; Arshinder K., Department of Management Studies, Indian Institute of Technology, Chennai, India</text>
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                <text>Work  life balance among women anganwadi workers in Bengaluru</text>
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                <text>Anganwadi workers; Life balance; Structural equation modeling; Validity and reliability; Women workers; Work</text>
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                <text>Over the past few years, worklife balance has evolved into a matter of significant concern. Both men and women strive to achieve a steady professional and personal life. In reality, women are more prone to experiencing such challenges. The paper attempted to understand worklife balance among Anganwadi workers (women-dominant centres). The research focused on the impact of job satisfaction, work overburden, workplace support, family support, and dependent care on the worklife balance of Anganwadi workers. For the purpose of the study, a structured questionnaire was administered to 467 participants. Statistical technique used for the study was regression model. The results indicated that workplace support and family support had a positive impact on the worklife balance among Anganwadi workers. The findings also suggested that work overburden and dependent care had a negative impact on worklife balance. The results also contradicted the hypotheses by portraying that job satisfaction was not a significant factor that impacted the worklife balance among Anganwadi workers. However, many other variables such as emotional intelligence, job autonomy, turnover intention, absenteeism, and work engagement  that could potentially impact worklife balance  were not taken into consideration.  2020, Associated Management Consultants Pvt. Ltd.. All rights reserved.</text>
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                <text>Sudhindra S.; Vasanth Kumar G.; Valarmathi B.</text>
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                <text>Prabandhan: Indian Journal of Management, Vol-13, No. 3, pp. 20-34.</text>
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                <text>Associated Management Consultants Pvt. Ltd.</text>
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                <text>&lt;a href="https://doi.org/10.17010/pijom/2020/v13i3/151177" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.17010/pijom/2020/v13i3/151177&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084048874&amp;amp;doi=10.17010%2Fpijom%2F2020%2Fv13i3%2F151177&amp;amp;partnerID=40&amp;amp;md5=4e6d97e65e74dd4319d61d1884185fd8" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084048874&amp;amp;doi=10.17010%2fpijom%2f2020%2fv13i3%2f151177&amp;amp;partnerID=40&amp;amp;md5=4e6d97e65e74dd4319d61d1884185fd8&lt;/a&gt;</text>
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                <text>ISSN: 9752854</text>
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                <text>Sudhindra S., Christ (Deemed to be University), Bengaluru, 560 029, India; Vasanth Kumar G., Christ (Deemed to be University), Bengaluru, 560 029, India; Valarmathi B., Christ (Deemed to be University), Bengaluru, 560 029, India</text>
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              <elementText elementTextId="78666">
                <text>Experimental Investigation of Uniaxial Compressive Behavior of Composite Columns without and with Full and Partial CFRP Wraps</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="78667">
                <text>Experimentation; Modeling; Partial and full carbon confinement; Square columns</text>
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            <description>An account of the resource</description>
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                <text>Concrete columns are the backbone of any major structure, and their strengthening, repair, and retrofit have always drawn special research attention. One of the techniques for strengthening and improving the ductility of concrete columns has been the application of carbon fiber-reinforced polymer (CFRP) materials. A total of 43 columns of different configurations were experimentally investigated to evaluate the uniaxial compressive behavior of composite columns. Experimental and international code-recommended load-carrying capacities, stress-strain relations, axial stiffness, ductility factor, and failure modes were examined in the study. When fully wrapped, the strength of both plain cement concrete and reinforced cement concrete columns improved by 21% each with reference to the unwrapped columns. In addition to providing the advantages of external confinement to the columns, full wrapping contributed to a strength increment of 21%, which compared well with the steel reinforcement contribution to a strength increment of 28% to 39%. The partial wrapping technique was found to be an economical alternative to the full wrapping technique, with strength enhancements of 6% to 12% in the case of both plain cement concrete and reinforced cement concrete partially wrapped columns. Two regression models for the load-carrying capacity for columns with and without wraps were developed with four key performance parameters: percentage steel reinforcement, percentage concrete, percentage carbon fiber-reinforced polymer wrap, and the weight of the specimen. The formulated models were validated and found to be robust and consistent with the results.   2024 American Society of Civil Engineers.</text>
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              <elementText elementTextId="78669">
                <text>Sudhir M.R.; Beulah M.</text>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="78670">
                <text>Practice Periodical on Structural Design and Construction, Vol-29, No. 3</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="78671">
                <text>American Society of Civil Engineers (ASCE)</text>
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            <name>Date</name>
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              <elementText elementTextId="78672">
                <text>2024-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1061/PPSCFX.SCENG-1399" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1061/PPSCFX.SCENG-1399&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189303876&amp;amp;doi=10.1061%2FPPSCFX.SCENG-1399&amp;amp;partnerID=40&amp;amp;md5=ab2ffac434ee0fa81b8851e5478c5b4b" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189303876&amp;amp;doi=10.1061%2fPPSCFX.SCENG-1399&amp;amp;partnerID=40&amp;amp;md5=ab2ffac434ee0fa81b8851e5478c5b4b&lt;/a&gt;</text>
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            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="78674">
                <text>Restricted Access</text>
              </elementText>
            </elementTextContainer>
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              <elementText elementTextId="78675">
                <text>ISSN: 10840680; CODEN: PPSCF</text>
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            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
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              <elementText elementTextId="78676">
                <text>Online</text>
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              <elementText elementTextId="78677">
                <text>English</text>
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              <elementText elementTextId="78679">
                <text>Sudhir M.R., Dept. of Civil Engineering, Soet, Christ (Deemed to Be University), Karnataka, Bangalore, 560074, India; Beulah M., Dept. of Civil Engineering, Soet, Christ (Deemed to Be University), Karnataka, Bangalore, 560074, India</text>
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            <element elementId="50">
              <name>Title</name>
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              <elementTextContainer>
                <elementText elementTextId="64">
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      <name>Article</name>
      <description>Faculty Publications -Articles</description>
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      <elementSet elementSetId="1">
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        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="85970">
                <text>Mathematical Modeling of Concrete Fracture Energy of Notched Specimens Using Experimental Evidence</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="85971">
                <text>Concrete; Experimentation; Fracture energy; Multiple regression models; Notched specimens</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="85972">
                <text>The tensile stiffness of concrete is an important parameter for crack initiation. The microcrack initiation and propagation regulate the stressstrain behavior and the failure mode of concrete. Therefore, fundamental awareness of the fracture mechanism in terms of fracture energy is a requisite to comprehend concrete behavior. There is research consensus that fracture energy alone does not suffice to characterize the ductility/brittleness and also the size dependency of concrete. Therefore, it is necessary to evaluate the fracture energy and the characteristic length for a realistic assessment of the fracture behavior of concrete. Towards this objective, this study examined the fracture energy of concrete by experimentation, and the fracture energy proposed by various models in the literature. Further, the characteristic length proposed by Hillerborg which depicted both the material influence and the size effect, has been computed. Based on the RILEM50 FM recommendations, 18 specimens with varying grades of concrete and notch depths have been tested and the fracture energy parameters have been evaluated. Also, two regression models with key fracture parameters as variables for two-notch ratios, have been formulated for the concrete fracture energy. The arguments have been supported by experimental evidence.  The Author(s), under exclusive licence to Shiraz University 2024.</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="85973">
                <text>Sudhir M.R.; Beulah M.</text>
              </elementText>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="85974">
                <text>Iranian Journal of Science and Technology - Transactions of Civil Engineering</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="85975">
                <text>Springer Science and Business Media Deutschland GmbH</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="85976">
                <text>2024-01-01</text>
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              <elementText elementTextId="85977">
                <text>&lt;a href="https://doi.org/10.1007/s40996-024-01631-2" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/s40996-024-01631-2&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205034134&amp;amp;doi=10.1007%2Fs40996-024-01631-2&amp;amp;partnerID=40&amp;amp;md5=9dde744e39e9d626853188b37db9e5a4" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205034134&amp;amp;doi=10.1007%2fs40996-024-01631-2&amp;amp;partnerID=40&amp;amp;md5=9dde744e39e9d626853188b37db9e5a4&lt;/a&gt;</text>
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="85978">
                <text>Restricted Access</text>
              </elementText>
            </elementTextContainer>
          </element>
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              <elementText elementTextId="85979">
                <text>ISSN: 22286160</text>
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            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
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              <elementText elementTextId="85980">
                <text>Online</text>
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            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="85981">
                <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="85982">
                <text>Article</text>
              </elementText>
            </elementTextContainer>
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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="85983">
                <text>Sudhir M.R., Department of Civil Engineering, School of Engineering and Technology, CHRIST (Deemed to Be University), Karnataka, Bangalore, India; Beulah M., Department of Civil Engineering, School of Engineering and Technology, CHRIST (Deemed to Be University), Karnataka, Bangalore, India</text>
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  <item itemId="14420" public="1" featured="0">
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            <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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    <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="98711">
                <text>Multigene Genetic Programming Based Prediction of Concrete Fracture Parameters of Unnotched Specimens</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="98712">
                <text>Concrete; Fracture Parameters; Multigene Genetic Programming; Notched and Unnotched Specimens</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="98713">
                <text>This study explores the fracture energy of notched and unnotched concrete specimens subjected to the classical three-point bend test, instantiating a gradational step in the continued development of concrete fracture mechanics. An experimental campaign involving 18 notched test specimens and nine unnotched specimens of three different grades of concrete, an examination of the existing literature models for unnotched specimens, and a novel Multigene Genetic programming (MGGP) based concrete fracture energy model for unnotched specimens are integral to this study. As a salient result, the multiple approaches to quasi-brittle materials adopted in the study, highlighted the criticality of the determination of fracture energy, tensile strength and characteristic length for the crack width study. The failure modes of notched and unnotched specimens were found to be similar. The reported literature has mainly focused on a limited number of fracture energy influencing parameters. Therefore, six impact parameters have been chosen and incorporated into the present study to provide a more acceptable explanation of concrete fracture behaviour. A sensitivity analysis of the parameters and an error analysis of the model undertaken have established the accuracy and robustness of the developed MGGP model.  2023 by the authors. Licensee C.E.J, Tehran, Iran.</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="98714">
                <text>Sudhir M.R.; Beulah M.</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="98715">
                <text>Civil Engineering Journal (Iran), Vol-9, No. 2, pp. 393-410.</text>
              </elementText>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="98716">
                <text>Salehan Institute of Higher Education</text>
              </elementText>
            </elementTextContainer>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="98717">
                <text>2023-01-01</text>
              </elementText>
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            <description>An unambiguous reference to the resource within a given context</description>
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                <text>&lt;a href="https://doi.org/10.28991/CEJ-2023-09-02-011" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.28991/CEJ-2023-09-02-011&lt;/a&gt;
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                <text>Sudhir M.R., Department of Civil Engineering, School of Engineering &amp;amp; Technology, CHRIST (Deemed to be University), Bangalore, India; Beulah M., Department of Civil Engineering, School of Engineering &amp;amp; Technology, CHRIST (Deemed to be University), Bangalore, India</text>
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                <text>A microstructure exploration and compressive strength determination of red mud bricks prepared using industrial wastes</text>
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                <text>The consensual view among researchers concerning building with industrial by-products is that the utilization of by-products represents green technology and sustainable development. The current investigation focuses on the utilization of an assortment of by-products for the production of bricks. The by-products include Red Mud (RM), Fly ash (FA), and Ground Granulated Blast Furnace Slag (GGBS) combined in different proportions with lime. The Red Mud employed ranged from 100% to 60% with a decrement of 10%, whereas Fly ash and GGBS varied between10% and 40% with an increment of 10%. Bricks produced from two methods namely, ambient curing and firing methods, were tested as per IS standards/ASTM norms, on both the materials and the composites of bricks. XRD, XRF, and SEM focused on both the raw materials and the composites. Because geopolymer materials are partially amorphous materials with complex composition, understanding the structural characteristics of geopolymers is opined as intricate. The results of the investigation show that the compressive strength of the bricks increased with the increment in the percentage of Fly ash and GGBS. The compressive strength of Red Mud-GGBS fired bricks attained maximum strength of 7.56 MPa.  2021 Elsevier Ltd. All rights reserved.</text>
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                <text>Materials Today: Proceedings, Vol-46, pp. 163-169.</text>
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                <text>Sudhir M.R., Christ (Deemed to Be University), Bengaluru, 560074, India; Beulah M., Christ (Deemed to Be University), Bengaluru, 560074, India; Sasha Rai P., KS School of Engineering and Management, Bengaluru, 560074, India; Gayathri G., ACS College of Engineering, Bengaluru, 560074, India</text>
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                <text>Laboratory experimentation for bed shear stress distribution has been carried out in two sets of meandering channels. The channels have cross-over angles of 110 and 60 constructed by 'sine-generated' curves over a flume of 4?m width. Variations in bed roughness were studied for the meandering main channel. Bed shear stress distribution across a meandering length for the 110 and 60 channels was examined for different sinuosities and roughnesses. The boundary shear stress study illustrated the position of maximum shear along the apex section and across the meandering path. These variations were observed for different flow depths. A comparison of the bed shear among the three experimental channels was conducted, and the results were analyzed.   2023 Author(s).</text>
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                <text>Sudhir M.R.; Pradhan A.; Sahoo K.; Beulah M.; Mohanta A.; Sethy K.</text>
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                <text>AIP Conference Proceedings, Vol-2763, No. 1</text>
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                <text>American Institute of Physics Inc.</text>
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                <text>ISSN: 0094243X</text>
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                <text>Sudhir M.R., Department of Civil Engineering, CHRIST, Deemed to Be University, Karnataka, Bangalore, 560074, India; Pradhan A., Department of Civil Engineering, CHRIST, Deemed to Be University, Karnataka, Bangalore, 560074, India; Sahoo K., School of Civil Engineering, KIIT Deemed to Be University, Odisha, Bhubaneswar, 751024, India; Beulah M., Department of Civil Engineering, CHRIST, Deemed to Be University, Karnataka, Bangalore, 560074, India; Mohanta A., Department of Mechanical Engineering, Vellore Institute of Technology, Tamil Nadu, Vellore, 632014, India; Sethy K., Government College of Engineering Kalahandi, Bhawanipatna, India</text>
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                <text>Machine Learning Classifiers for Credit Risk Analysis</text>
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                <text>Credit risk; Decision tree; K-Nearest Neighbour; Machine learning; Naive Bayes classifier</text>
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                <text>The modern world is a place of global commerce. Since globalization became popular, entrepreneurs of small and medium enterprises to large ones have looked up to banks, which have existed in various forms since antiquity, as their pillars of support. The risk of granting loans in various forms has significantly increased as a consequence of this, the businesses face financing difficulties. Credit Risk Analysis is a major aspect of approving the loan application that is done by analyzing different types of data. The goal is to minimize the risk of approving the loan for the Individuals or businesses who might not pay back on time. This research paper addresses this challenge by applying various machine learning classifiers to the German credit risk dataset. By evaluating and comparing the accuracy of these models to identify the most effective classifier for credit risk analysis. Furthermore, it proposes a contributory approach that combines the strengths of multiple classifiers to enhance the decision-making process for loan approvals. By leveraging ensemble learning techniques, such as the Voting Ensemble model, the aim is to improve the accuracy and reliability of credit risk analysis. Additionally, it explores tailored feature engineering techniques that focus on selecting and engineering informative features specific to credit risk analysis.  2024 Sudiksha et al., licensed to EAI.</text>
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                <text>&lt;a href="https://doi.org/10.4108/eetiot.5376" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.4108/eetiot.5376&lt;/a&gt;
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                <text>ISSN: 24141399</text>
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                <text>Sudiksha, Department of Data Science, Christ University, Pune Lavasa Campus, India; Nanjundan P., Department of Data Science, Christ University, Pune Lavasa Campus, India; George J.P., Department of Data Science, Christ University, Pune Lavasa Campus, India</text>
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                <text>Encountering risk with resilience for experiences: a case study on tourism in a conflicted tourist destination</text>
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                <text>Novel tourist experiences; Psychological resilience; Srinagar; Terrorism risk; Tourism</text>
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                <text>Purpose: This paper aims to unravel how tourists balance their novel experiences with risk perceptions, psychological resilience and behavioral intentions. Additionally, it explores how tourists' personalities moderate the relationship between experiences and travel intentions. Design/methodology/approach: A total of 234 self-administered questionnaires were distributed to a diverse group of tourists who recently explored the Srinagar region to capture their perspectives. The data obtained was analyzed using Smart PLS-SEM. Findings: This study revealed that the impact of perceived terror risk on behavioral intentions is not statistically significant. Instead, tourists' experiences significantly influence psychological resilience and behavioral intentions. Tourists with higher resilience are inclined to perceive these experiences as aiding in managing negative feelings. Research limitations/implications: The study's focus is confined to one conflict zone within the country due to research constraints, excluding other areas. Practical implications: This research provides practical insights for destination management authorities and highlights areas for improvement for tourism service providers and the government in the Srinagar region, as well as other conflict regions. Emphasizing mutual respect between locals and tourists can foster community-based tourism, enhancing the region's appeal and promoting positive intentions for all involved parties. Social implications: This study examines how local communities in conflict-affected areas adjust to and manage the presence of tourists, with an emphasis on building resilience and support systems. Additionally, it explores how travel decisions and behaviors are influenced by tourists' perceptions of safety and how these perceptions can influence broader societal attitudes toward areas affected by conflict. Evaluating the local population's economic reliance on tourism may result in changed social dynamics, as well as possible exploitation or over-reliance on industry. Promoting mutual understanding and cultural interchange between locals and visitors may have a positive impact on efforts to promote social cohesion and peacebuilding. Originality/value: This study broadens the scope of the existing literature on destination attributes in conflict zones, offering a unique perspective on the intrinsic features of this issue. The solutions proposed in this study contribute a novel dimension to the current literature.  2024, International Tourism Studies Association.</text>
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                <text>Sufi T.; Ranga B.; Ranga I.</text>
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                <text>International Journal of Tourism Cities, Vol-10, No. 4, pp. 1414-1434.</text>
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                <text>Emerald Publishing</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205905338&amp;amp;doi=10.1108%2FIJTC-05-2024-0110&amp;amp;partnerID=40&amp;amp;md5=66be1774348127da974e27b592327ed3" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205905338&amp;amp;doi=10.1108%2fIJTC-05-2024-0110&amp;amp;partnerID=40&amp;amp;md5=66be1774348127da974e27b592327ed3&lt;/a&gt;</text>
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                <text>ISSN: 20565607</text>
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                <text>Sufi T., Department of Tourism, School of Business and Economics, Universidad de las Amicas Puebla, San Andr Cholula, Mexico; Ranga B., Parul University, Vadodara, India; Ranga I., Department of Tourism Management, School of Business and Management, Christ University, Bangalore, India</text>
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            <name>Title</name>
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                <text>An Efficient HOG-Centroid Descriptor for Human Gait Recognition</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="186528">
                <text>Centroid; Descriptor; Feature fusion; Gait; HOG; Silhouette</text>
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            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="186529">
                <text>Automatic recognition of human gait have gained much attention nowadays. Histogram of Oriented Gradient (HOG) is a widely adopted descriptor for object's shape analysis. In this paper, combination of HOG descriptor with silhouette centroid for human gait recognition is proposed. The resultant descriptor, namely HOG-Centroid, achieves better recognition performance on comparison with HOG descriptor individually as well as other existing gait recognition methods. Experiments are carried out with CASIA gait dataset B and cumulative matching scores of 95.3%, 98.1% and 99.2% are obtained for rank 1, rank 5 and rank 10 respectively.  2019 IEEE.</text>
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              <elementText elementTextId="186530">
                <text>Sugandhi K.; Raju G.</text>
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            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="186531">
                <text>Proceedings - 2019 Amity International Conference on Artificial Intelligence, AICAI 2019, pp. 355-360.</text>
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            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="186532">
                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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            <name>Date</name>
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                <text>&lt;a href="https://doi.org/10.1109/AICAI.2019.8701366" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/AICAI.2019.8701366&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065618469&amp;amp;doi=10.1109%2FAICAI.2019.8701366&amp;amp;partnerID=40&amp;amp;md5=eb92a946574c1129c67cb7be7ed985f0" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065618469&amp;amp;doi=10.1109%2fAICAI.2019.8701366&amp;amp;partnerID=40&amp;amp;md5=eb92a946574c1129c67cb7be7ed985f0&lt;/a&gt;</text>
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              <elementText elementTextId="186535">
                <text>Restricted Access</text>
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                <text>ISBN: 978-153869346-9</text>
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                <text>Sugandhi K., Department of Information Technology, Kannur University, Kannur, Kerala, 670567, India; Raju G., Department of CSE, Christ (Deemed to Be University), Bengaluru, Karnataka, 560764, India</text>
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          <element elementId="50">
            <name>Title</name>
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              <elementText elementTextId="187419">
                <text>Discriminative Gait Features Based on Signal Properties of Silhouette Centroids</text>
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            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="187420">
                <text>Centroid; Gait; Gait cycle; Gait silhouette; Signal properties</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="187421">
                <text>Among the biometric recognition systems, gait recognition plays an important role due to its attractive advantages over other biometric systems. One of the crucial tasks in gait recognition research is the extraction of discriminative features. In this paper, a novel and efficient discriminative feature vector using the signal characteristics of motion of centroids across video frames is proposed. These centroid based features are obtained from the upper and lower regions of the gait silhouette frames in a gait cycle. Since gait cycle contains the sequence of motion pattern and this pattern possesses uniqueness over individuals, extracting the centroid features can better represent the dynamic variations. These variations can be viewed as a signal and therefore the signal properties obtained from the centroid features contains more discriminant information of an individual. Experiments are carried out with CASIA gait dataset B and the proposed feature achieves 97.3% of accuracy using SVM classifier.  2019, Springer Nature Singapore Pte Ltd.</text>
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              <elementText elementTextId="187422">
                <text>Sugandhi K.; Raju G.</text>
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            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="187423">
                <text>Communications in Computer and Information Science, Vol-1046, pp. 680-688.</text>
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              <elementText elementTextId="187424">
                <text>Springer Verlag</text>
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              <elementText elementTextId="187425">
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                <text>&lt;a href="https://doi.org/10.1007/978-981-13-9942-8_63" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-13-9942-8_63&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070216128&amp;amp;doi=10.1007%2F978-981-13-9942-8_63&amp;amp;partnerID=40&amp;amp;md5=0ec8f8961c80d0d117792f50ff7ec4ef" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070216128&amp;amp;doi=10.1007%2f978-981-13-9942-8_63&amp;amp;partnerID=40&amp;amp;md5=0ec8f8961c80d0d117792f50ff7ec4ef&lt;/a&gt;</text>
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            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="187427">
                <text>Restricted Access</text>
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                <text>ISSN: 18650929; ISBN: 978-981139941-1</text>
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              <elementText elementTextId="187430">
                <text>English</text>
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              <elementText elementTextId="187432">
                <text>Sugandhi K., Department of Information Technology, Kannur University, Kannur, 670567, Kerala, India; Raju G., Department of CSE, Faculty of Engineering, Christ (Deemed to be University), Bengaluru, 560764, Karnataka, India</text>
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          <element elementId="50">
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                <text>An overlap-based human gait cycle detection</text>
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          <element elementId="49">
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            <description>The topic of the resource</description>
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              <elementText elementTextId="131943">
                <text>Gait; Gait cycle; Overlap; Silhouette; Zero-crossing</text>
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            </elementTextContainer>
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          <element elementId="41">
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              <elementText elementTextId="131944">
                <text>Identification of a person by his/her style of walking is referred as gait recognition. Gait is one among the biometric used for human identification. In gait recognition, an inevitable step for accurate feature extraction is gait cycle detection. In this paper, a novel gait cycle detection algorithm based on the concept of overlap between legs during locomotion is proposed. To identify overlap, zero-crossing counts of silhouette frames as well as bottom halves of silhouette frames are considered. The efficiency of this algorithm is tested using normal walking sequence of subjects with 90 viewing angle from CASIA B as well as TUM-IITKGP human gait databases. The results obtained shows that gait cycle can be easily and efficiently detected with zero-crossing count of silhouette frames. Further zero-crossing counts taken from bottom halves of silhouette frames gives better performance. Copyright  2019 Inderscience Enterprises Ltd.</text>
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              <elementText elementTextId="131945">
                <text>Sugandhi K.; Wahid F.F.; Nikesh P.; Raju G.</text>
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              <elementText elementTextId="131946">
                <text>International Journal of Biometrics, Vol-11, No. 2, pp. 148-159.</text>
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                <text>Inderscience Publishers</text>
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                <text>Researches showed that gait is unique for individuals and human gait recognition gained much attention nowadays. The sequence of gait silhouettes extracted from the video sequences has its own significance for gait recognition performance. In this paper, a novel inter frame feature discriminating the individual gait characteristics is proposed. Consecutive frames within a gait cycle are divided into equal number of blocks and corresponding block differences are calculated. It can preserve the minute temporal variations of the different body parts within each block and the cumulative difference provide a unique feature capable of discriminating individuals. To avoid synchronization problems, secondary statistical features are extracted from the primary inter frame variations. Finally, feature level fusion schemes are applied on these statistical features with existing features extracted from CEI representation. The efficiency of the proposed feature is evaluated on widely adopted CASIA gait dataset B using subspace discriminant analysis. The experimental results show that our proposed feature has better recognition accuracy in comparison with existing features.  2019 IEEE.</text>
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                <text>Sugandhi K., Department of Information Technology, Kannur University, Kannur, Kerala, India; Wahid F.F., Department of Information Technology, Kannur University, Kannur, Kerala, India; Raju G., Department of CSE, Faculty of Engineering, Christ, Deemed to be University, Bengaluru, Karnataka, India</text>
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                <text>Innovative city applications use information and communication technologies to function various operations efficiently. The widespread use of the Internet of Things (IoT) can be viewed in several applications like smart cars, smart cities, e-commerce, and cyber-physical systems. The huge amount of data produced and transmitted by these systems is handled by cloud-based storage services, which are vulnerable to multiple threats risking the privacy and security features of the application. Cloud storage services employ encryption algorithms to ensure data confidentiality, but it fails to address the privacy issues. Apart from the privacy risks, in these systems, the identity of a user who shares and accesses the data is traceable, as it is required to verify user eligibility before providing access. Also, a vast amount of daily data is stored on a centralized system that processes service requests from multiple users, posing considerable risks to the system's stability during peak periods. To address these challenges faced during the data sharing process in a centralized system, Service Oriented Privacy-Preserving Data Sharing (SOPPDS) platform based on a blockchain framework is proposed. The modified Key Policy-Attribute-based Encryption (MKP-ABE) technique is applied to securely share the data between the service owners and the service consumers. It was evident from the performance evaluation of the proposed SOPPDS platform that the encryption process takes lesser time than the decryption process. Also, the cryptographic operations performed on the prime order sets exhibited increased latency and computational cost. It was observed that comparatively, cryptographic operations performed on composite order sets could overcome the issues in prime order sets. SOPPDS platform works well in preserving the users' privacy, ensuring anonymity in the data sharing process, and maintaining the confidentiality of the data shared in the system.  2023, Ismail Saritas. All rights reserved.</text>
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                <text>International Journal of Intelligent Systems and Applications in Engineering, Vol-11, No. 4, pp. 591-602.</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174799659&amp;amp;partnerID=40&amp;amp;md5=25521dc8cc9dc7da7a70ba6c00c53d1c" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174799659&amp;amp;partnerID=40&amp;amp;md5=25521dc8cc9dc7da7a70ba6c00c53d1c&lt;/a&gt;</text>
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                <text>Suganthi P., Department of CSBS, Thiagarajar College of Engineering, Tamilnadu, Madurai, 625015, India; Malini A., Department of CSBS, Thiagarajar College of Engineering, Tamilnadu, Madurai, 625015, India; Felicia Lilian J., Department of CSBS, Thiagarajar College of Engineering, Tamilnadu, Madurai, 625015, India; Vetriveeran D., Department of CSE, School of Engineering and Technology, CHRIST University, Bangalore, 560074, India</text>
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                <text>This paper presents a report on the enhanced performance of an optimized metamaterial loaded square fractal antenna (OMSFA). The design and simulation of the antenna was carried out using Electronic Desk Top HFSS version 18.2 software. The antenna layer spreads over an area of 23 square millimeter on a FR4 substrate whose dielectric permittivity is 4.4. The substrate size measures an area of 46 mm X 28 mm, with 1.6 mm thickness. Also the design includes a microstrip feed and truncated ground. The antenna resonates well with a deep return loss of-38.9 dB in a broad bandwidth of 3.2 GHz (128 %) between 2 GHz and 5.2 GHz. The OMSFA produces enhanced gain of 9.8 dB at 2.5 GHz. The radiation is more focused due to the effect of metamaterial loading. The proposed antenna is recommended for wireless application in the lower region (S band) of the microwave spectrum.  2018 IEEE.</text>
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                <text>2018 12th International Congress on Artificial Materials for Novel Wave Phenomena, METAMATERIALS 2018, pp. 349-351.</text>
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                <text>Suganthi S., ECE Department, CHRIST (Deemed to Be University), Bangalore, India</text>
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                <text>Integration of 0.1 GHz to 40 GHz RF and microwave anechoic chamber and the intricacies</text>
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                <text>The aim of this paper is to highlight and elaborate the construction and establishment of a rectangular anechoic chamber (AC) of dimensions 7 m 4 m 3 m working from 0.1 GHz to 40 GHz. It is an informative checklist giving an insight on the reckoning of chamber dimensions and selection of appropriate absorbers as per the required specifications. It briefs the key features of validation of an anechoic chamber, namely, shielding effectiveness and reflectivity (quiet zone). It describes the intricacies of the integration of systems such as vector network analyzer (VNA), antenna mounting stands, three-axes motorized antenna rotation control circuitry, and customized software. The validation of the established chamber is accomplished for overall shielding effectiveness of ?80 dB and reflectivity of ?40 dB in one cubic meter area at the receiving antenna or the antenna under test (AUT) region far away from transmitter say, at 5.5 m separation. This paper covers the measurement results of three broadband horn antennas which can be used as reference antennas for characterization of other antennas in the chosen frequency range. The entire report will certainly be a guideline for any reader or aspirant who is interested in the development of a similar anechoic chamber and looking for complete intricacies.  2020, Electromagnetics Academy. All rights reserved.</text>
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                <text>Suganthi S.; Patil D.D.; Chand E.</text>
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                <text>Progress In Electromagnetics Research C, Vol-101, pp. 29-42.</text>
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                <text>Electromagnetics Academy</text>
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                <text>2020-01-01</text>
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                <text>&lt;a href="https://doi.org/10.2528/pierc19102403" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.2528/pierc19102403&lt;/a&gt;
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              <elementText elementTextId="127323">
                <text>All Open Access; Gold Open Access</text>
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                <text>ISSN: 19378718</text>
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                <text>Suganthi S., RF and Microwave Research Laboratory, ECE Department, School of Engineering and Technology, CHRIST (Deemed to be University, Bangalore, India; Patil D.D., RF and Microwave Research Laboratory, ECE Department, School of Engineering and Technology, CHRIST (Deemed to be University, Bangalore, India; Chand E., RF and Microwave Research Laboratory, ECE Department, School of Engineering and Technology, CHRIST (Deemed to be University, Bangalore, India</text>
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                <text>Ground Truncated Broadband Slotted Circular Microstrip Antenna</text>
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            <name>Subject</name>
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                <text>broadband; circular HFSS; feed; ground truncation; measurement; microstrip antenna; return loss; slot; VNA</text>
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                <text>In this growing era of wireless technology, large sized devices have become obsolete. In response to the increasing demand for miniaturization over the past decades, microstrip antennas have drawn attention due to its various features like light weight, low cost, small in size and its greater resistivity to shock and vibrations. These can also easily get conformed to any surface. These antennas are also capable of operating at high frequencies, providing large bandwidth and gain by using various techniques slots and truncation of shapes. This report describes the design, simulation, fabrication and measurement results of a microstrip fed Slotted Circular Microstrip Antenna for broadband applications. The antenna was designed for an operating frequency of 2.45 GHz on a double side printed FR4 substrate measuring 55 mm x 55 mm x 1.6 mm with ?r of 4.4. It measured a very large resonant band of 1.3 - 9.05 GHz at a return loss level as low as -36.5 dB at 7.98 GHz. A maximum gain of 2.46 dB was achieved at 2.33 GHz. The enhancement in bandwidth was achieved by truncation in ground and inclusion of thin circular slot. The HFSS version 18.2 software and VNA model Anritsu SA20E were used for simulation and measurement respectively. It is found that the simulation and measurement results agree.  2018 IEEE.</text>
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                <text>Suganthi S.; Patil D.D.; Chand E.</text>
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              <elementText elementTextId="187797">
                <text>2018 IEEE Indian Conference on Antennas and Propagation, InCAP 2018</text>
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              <elementText elementTextId="187798">
                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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                <text>&lt;a href="https://doi.org/10.1109/INCAP.2018.8770957" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/INCAP.2018.8770957&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070191638&amp;amp;doi=10.1109%2FINCAP.2018.8770957&amp;amp;partnerID=40&amp;amp;md5=585b51c6deeb7c44a12a99ab2ba119ae" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070191638&amp;amp;doi=10.1109%2fINCAP.2018.8770957&amp;amp;partnerID=40&amp;amp;md5=585b51c6deeb7c44a12a99ab2ba119ae&lt;/a&gt;</text>
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                <text>Restricted Access</text>
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                <text>ISBN: 978-153867060-6</text>
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                <text>Suganthi S., Dept. of ECE, RF Microwave Research Laboratory, CHRIST (Deemed to Be University), Bengaluru, India; Patil D.D., Dept. of ECE, RF Microwave Research Laboratory, CHRIST (Deemed to Be University), Bengaluru, India; Chand E., Dept. of ECE, RF Microwave Research Laboratory, CHRIST (Deemed to Be University), Bengaluru, India</text>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="188893">
                <text>ANN based pattern generation, design and simulation of broadband fractal antenna for wireless applications</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="188894">
                <text>ANN; Fractal Antenna; HFSS; Iteration; Microstrip; Pattern Generation; Resonance</text>
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                <text>The synthesis of microstrip antenna(MSA) remains complex and time consuming from convenient design point of view. The Artificial Neural Network (ANN) on the other hand provides quicker and accurate solutions while multiple parameters controlling MSA designs. This paper proposes a new type of square fractal antenna (SFA) structure iterated and optimized by ANN developed using Advanced C and simulated using HFSS for optimum resonance characteristics covering 1.6-6.6 GHz frequency range. The motivation behind this work is size reduction of MSAs through FA concept with broadband resonance. It is suggested that the proposed antenna can be a right choice for various wireless applications because of its broadband functionality.  2016 IEEE.</text>
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                <text>Suganthi S.; Raghavan S.</text>
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                <text>1st International Conference on Emerging Trends in Engineering, Technology and Science, ICETETS 2016 - Proceedings</text>
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              <elementText elementTextId="188898">
                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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              <elementText elementTextId="188899">
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                <text>&lt;a href="https://doi.org/10.1109/ICETETS.2016.7603037" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICETETS.2016.7603037&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84997216960&amp;amp;doi=10.1109%2FICETETS.2016.7603037&amp;amp;partnerID=40&amp;amp;md5=5ff2d26c64add76550d6dcd004b508a3" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-84997216960&amp;amp;doi=10.1109%2fICETETS.2016.7603037&amp;amp;partnerID=40&amp;amp;md5=5ff2d26c64add76550d6dcd004b508a3&lt;/a&gt;</text>
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                <text>ISBN: 978-146736725-7</text>
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                <text>Suganthi S., Dept. of ECE, Christ University, Bengaluru, India; Raghavan S., Dept. of ECE, NIT, Trichy, India</text>
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