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                <text>Comparison of Machine Learning Algorithms for Predicting Chronic Kidney Disease</text>
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                <text>Chronic Kidney Disease; CKD classification; Machine learning algorithms; Random Forest; XGBoost</text>
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                <text>Early detection and characterization of chronic renal disease are crucial to ensure that patients receive the best possible treatment. This study uses data mining techniques to uncover hidden information about patients. The outcomes of using the Random Forest, Multilayer Perceptron (MLP), Support Vector Machine (SVM), Decision Tree, XGBoost, LGBM Classifier, GaussianNB, KNeighbors Classifier, and XGBRF classifier have been compared. In our study, we demonstrate that Random Forest and XGBoost algorithms are more effective in classifying and predicting the severity level of chronic kidney disease  2022 IEEE.</text>
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                <text>James N.; Kaushik J.</text>
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                <text>2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022, pp. 1134-1139.</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>ISBN: 978-166543789-9</text>
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                <text>James N., Christ (Seems to Be University), Department of Data Science, Pune, India; Kaushik J., Christ (Seems to Be University), Department of Data Science, Pune, India</text>
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                <text>Comparison of Machine Learning-Based Intrusion Detection Systems Using UNSW-NB15 Dataset</text>
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                <text>Cyber security; Intrusion detection; Machine learning; UNSW-NB15</text>
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                <text>Various machine learning classifiers have been employed recently to enhance network intrusion detection. In the literature, researchers have put forth a wide range of intrusion detection solutions. The accuracy of the machine learning classifiers intrusion detection is limited by the fact that they were trained on dated samples. Therefore, the most recent dataset must be used to train the machine learning classifiers. In this study, UNSW-NB15, machine learning classifiers are trained using the most recent dataset. A taxonomy of classifiers based on eager and lazy learners is used to train the chosen classifiers, such as K-Means (KNN), Polynomial Features, Random Forest (RF), and Naive Bayes (NB), Linear Regression. In order to decrease the redundant and unnecessary features in the UNSW-NB15 dataset, chi-Square, a filter-based feature selection technique, is used in this study. When comparing these machine learning classifiers, performance is measured in terms of accuracy, mean squared error (MSE), precision, recall, and F1-score with or without feature selection technique.  The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024.</text>
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                <text>Sambandam R.K.; Daniel D.; Gokulapriya R.; Vetriveeran D.; Jenefa J.; Anuneshwar</text>
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                <text>Lecture Notes in Networks and Systems, Vol-844, pp. 311-324.</text>
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                <text>&lt;a href="https://doi.org/10.1007/978-981-99-8479-4_23" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-99-8479-4_23&lt;/a&gt;
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                <text>ISSN: 23673370; ISBN: 978-981998478-7</text>
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                <text>Sambandam R.K., Department of CSE, SOET, CHRIST (Deemed to be University), Kengeri Campus, Bangalore, India; Daniel D., Department of CSE, SOET, CHRIST (Deemed to be University), Kengeri Campus, Bangalore, India; Gokulapriya R., Department of CSE, SOET, CHRIST (Deemed to be University), Kengeri Campus, Bangalore, India; Vetriveeran D., Department of CSE, SOET, CHRIST (Deemed to be University), Kengeri Campus, Bangalore, India; Jenefa J., Department of CSE, SOET, CHRIST (Deemed to be University), Kengeri Campus, Bangalore, India; Anuneshwar, Department of CSE, SOET, CHRIST (Deemed to be University), Kengeri Campus, Bangalore, India</text>
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                <text>Comparison of streams delineated using various SRTM, ASTER and Cartosat DEM</text>
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                <text>Results from the study on the comparison of the stream network delineated from Shuttle Radar Topography Mission (SRTM) DEM, Advanced Space borne Thermal Emission and Reflection Radiometer (ASTER) DEM and Cartosat DEM with the stream network extracted from Toposheets concluded that SRTM DEM of 30m resolution was correlated well with the stream network extracted from SOI toposheets compared to ASTER and Cartosat DEM. It is recommended to utilise SRTM open access DEM of 30m resolution from research work carried out over the study area.  2021 Ecological Society of India. All rights reserved.</text>
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                <text>Suresh D.; Priya M.G.; Vaishnavi B.</text>
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                <text>Indian Journal of Ecology, Vol-48, No. 3, pp. 757-759.</text>
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                <text>Ecological Society of India</text>
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                <text>ISSN: 3045250</text>
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                <text>Suresh D., Department of Civil Engineering, Saveetha Engineering College, Chennai, 602 105, India; Priya M.G., Centre For Incubation, Innovation, Research and Consultancy (CIIRC), Jyothy Institute of Technology, Bangalore, 560 082, India; Vaishnavi B., CHRIST (Deemed to be University), Bengaluru, 560 029, India</text>
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                <text>Comparison of TDD and PAIR programming for improving software quality</text>
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                <text>Pair programming; Software quality; Test-driven development</text>
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                <text>These days, programming improvement groups utilizing coordinated procedures have started widely adopting Test-driven development and Pair Programming. Test-driven development (TDD) is a transformative way to deal with improvement, which joins test-first improvement where you compose a test before you compose simple enough creation code to satisfy that test and refactoring. Pair Programming is a sort of communitarian programming where two individuals are working at the same time on a similar programming task. In this paper the TDD and Pair Programming is applied for a dataset, collected from a group of users and compared. For our research, we executed structured experiments with five set of pair programmers and ten individual programmers. Both groups developed programs in Java. The outcome acquired demonstrates the strategy helps in expanding the software quality.  IAEME Publication.</text>
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                <text>Sushma V.S.; Nizar Banu P.K.</text>
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                <text>International Journal of Civil Engineering and Technology, Vol-9, No. 1, pp. 944-952.</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-s2.0-85042018844&amp;amp;partnerID=40&amp;amp;md5=252bd52296411b849862ade25783cf23" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042018844&amp;amp;partnerID=40&amp;amp;md5=252bd52296411b849862ade25783cf23&lt;/a&gt;</text>
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                <text>ISSN: 9766308</text>
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                <text>Sushma V.S., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India; Nizar Banu P.K., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India</text>
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                <text>Comparison of the effect of suction-injection-combination on Rayleigh-Bard convection in the case of asymmetric boundaries with those of symmetric ones</text>
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                <text>The effect of suction-injection-combination (SIC) on the linear and weakly nonlinear stability of Rayleigh-Bard convection is considered in the paper for the cases of symmetric and asymmetric boundary conditions. Using the Maclaurin series with an appropriate number of terms, expression for eigenfunctions is obtained. The linear theory corroborates the results obtained using the chosen eigenfunctions in the limiting case of the no-SIC effect by matching accurately with the exact values concerning the critical Rayleigh number (Rac) and the wave number (?c). It is found that the effect of SIC is to stabilize the system in the case of symmetric boundaries irrespective of SIC being pro-gravity or anti-gravity. However, the effect of SIC is to stabilize/destabilize the system depending on SIC being pro-gravity or anti-gravity in the case of the asymmetric boundaries. We also noted a similar effect in the case of ?c wherein a maximum error of order 10 ? 4 was observed. The main novelty of the present work is studying the influence of SIC on the nonlinear dynamics of the considered problem. It is shown that the effect of SIC is to hasten the onset of chaos. Using various indicators (the largest Lyapunov exponent, the time series solution, the amplitude spectrum, and the phase-space plots), the dynamical behavior of the system is analyzed and the influence of SIC on the dynamics is recorded. The change due to the boundary effect and the SIC on the size of convection rolls and the trapping region where the dynamical system evolves within a bound is highlighted in the paper.  2023 Author(s).</text>
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                <text>Kanchana C.; Siddheshwar P.G.; Pez L.M.; Laroze D.</text>
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              <elementText elementTextId="96967">
                <text>Physics of Fluids, Vol-35, No. 5</text>
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              <elementText elementTextId="96968">
                <text>American Institute of Physics Inc.</text>
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                <text>&lt;a href="https://doi.org/10.1063/5.0146657" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1063/5.0146657&lt;/a&gt;
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              <elementText elementTextId="96971">
                <text>Restricted Access</text>
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              <elementText elementTextId="96972">
                <text>ISSN: 10706631; CODEN: PHFLE</text>
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              <elementText elementTextId="96974">
                <text>English</text>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <elementText elementTextId="96976">
                <text>Kanchana C., Instituto de Alta Investigaci, CEDENNA, Universidad de Tarapac Casilla 7 D, Arica, Chile; Siddheshwar P.G., Center for Mathematical Needs, Department of Mathematics, CHRIST(Deemed to be University), Bengaluru, 560029, India; Pez L.M., Departamento de Fica, FACI, Universidad de Tarapac Casilla 7 D, Arica, 1000000, Chile; Laroze D., Instituto de Alta Investigaci, CEDENNA, Universidad de Tarapac Casilla 7 D, Arica, Chile</text>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="105421">
                <text>Comparison of the inter-item correlations of the Big Five Inventory-10 (BFI-10) between Western and non-Western contexts</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
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              <elementText elementTextId="105422">
                <text>BFI-10; Brief scales; Inter-item correlations; Omega coefficient; Personality traits; Western vs. non-Western countries</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="105423">
                <text>The Big Five Inventory-10 (BFI-10; Rammstedt &amp;amp; John, 2007) is one of many short versions of personality inventories that measure the Big Five trait dimensions. Short versions of scales often present methodological challenges as a trade-off for their convenience. Based on samples from 28 countries (N = 10,560), the current study investigated inter-item correlations estimated using Omega coefficients within each of the five personality characteristics measured by the BFI-10. Results showed that inter-item correlations were significantly lower, in the sample data from non-Western countries compared with the Western countries, for three of the five personality traits, specifically Conscientiousness, Extraversion, and Emotional Stability. Our findings indicate that the psychometric challenges exist across different cultures and traits. We offer recommendations when using short-item scales such as BFI-10 in survey research.  2022 Elsevier Ltd</text>
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            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="105424">
                <text>Park J.; van den Broek K.L.; Bhullar N.; Ogunbode C.A.; Schermer J.A.; Doran R.; Ardi R.; Hanss D.; Maran D.A.; Albzour M.; Aquino S.D.; Ayanian A.H.; Chegeni R.; Chukwuorji J.C.; Enea V.; Ghanbarian E.; Ghorayeb J.; Jiang F.; Kehinde O.A.; Lins S.; Lomas M.J.; Lu S.; Marot T.; Mbungu W.; Navarro-Carrillo G.; Onyutha C.; Reyes M.E.S.; Salmela-Aro K.; Sollar T.; Tahir H.; Tan C.-S.; Torres-Mar J.; Tsubakita T.; Volkodav T.; Wlodarczyk A.; Yadav R.</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="105425">
                <text>Personality and Individual Differences, Vol-196</text>
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            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="105426">
                <text>Elsevier Ltd</text>
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            <name>Date</name>
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              <elementText elementTextId="105427">
                <text>2022-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.paid.2022.111751" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.paid.2022.111751&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131564626&amp;amp;doi=10.1016%2Fj.paid.2022.111751&amp;amp;partnerID=40&amp;amp;md5=3a5c1b46efed3d53ef953128b19a2cc0" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131564626&amp;amp;doi=10.1016%2fj.paid.2022.111751&amp;amp;partnerID=40&amp;amp;md5=3a5c1b46efed3d53ef953128b19a2cc0&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="105429">
                <text>All Open Access; Green Open Access</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="46">
            <name>Relation</name>
            <description>A related resource</description>
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              <elementText elementTextId="105430">
                <text>ISSN: 1918869; CODEN: PEIDD</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="105431">
                <text>Online</text>
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            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="105432">
                <text>English</text>
              </elementText>
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          </element>
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              <elementText elementTextId="105433">
                <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="105434">
                <text>Park J., School of Management, NUCB Business School, Japan; van den Broek K.L., Copernicus Institute of Sustainable Development, Utrecht University, Netherlands, Research Centre for Environmental Economics, Heidelberg University, Germany; Bhullar N., School of Psychology, University of New England, NSW, Australia, Discipline of Psychology, Edith Cowan University, Australia; Ogunbode C.A., School of Psychology, University of Nottingham, UK, United Kingdom; Schermer J.A., Department of Management and Organisational Studies, Faculty of Social Science, University of Western Ontario, Canada; Doran R., Department of Psychosocial Science, Faculty of Psychology, University of Bergen, Bergen, Norway; Ardi R., Department of Psychology, Universitas Airlangga, Indonesia; Hanss D., Department of Social Sciences, Darmstadt University of Applied Sciences, Germany; Maran D.A., Department of Psychology, University of Torino, Turin, Italy; Albzour M., Department of Social and Behavioral Science, Birzeit University, Palestine; Aquino S.D., Psychology Department, Pontifical Catholic University of Rio de Janeiro, Brazil; Ayanian A.H., The Institute for Interdisciplinary Research on Conflict and Violence, Bielefeld University, Germany; Chegeni R., PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway; Chukwuorji J.C., Department of Psychology, University of Nigeria, Nigeria; Enea V., Department of Psychology, Alexandru Ioan Cuza University of Iasi, Ia?i, Romania; Ghanbarian E., Department of Human Ecology, University of Alberta, Canada; Ghorayeb J., Department of Psychology, Zayed University, Dubai, United Arab Emirates; Jiang F., Department of Human Resources and Organisational Behaviour, University of Greenwich, Beijing, China; Kehinde O.A., Department of Psychology, Obafemi Awolowo University, Ife, Nigeria; Lins S., Faculty of Psychology and Education Sciences, University of Porto, Portugal; Lomas M.J., School of Health and Society, University of Salford, UK, United Kingdom; Lu S., School of Applied Social Sciences, De Montfort University, UK, United Kingdom; Marot T., Psychology Department, Pontifical Catholic University of Rio de Janeiro, Brazil; Mbungu W., Department of Civil and Water Resources Engineering, School of Engineering and Technology, Sokoine University of Agriculture, Morogoro, Tanzania; Navarro-Carrillo G., Department of Psychology, University of Ja, Spain; Onyutha C., Department of Civil and Environmental Engineering, Kyambogo University, Uganda; Reyes M.E.S., Department of Psychology, College of Science, University of Santo Tomas, Manila, Philippines; Salmela-Aro K., Department of Educational Sciences, University of Helsinki, Helsinki, Finland; Sollar T., Department of Psychological Sciences, Faculty of Social Sciences and Healthcare, Constantine the Philosopher University in Nitra, Nitra, Slovakia; Tahir H., Department of Psychosocial Science, Faculty of Psychology, University of Bergen, Bergen, Norway; Tan C.-S., Department of Psychology and Counselling, Faculty of Arts and Social Science, Universiti Tunku Abdul Rahman, Kampar, Malaysia; Torres-Mar J., Department of Research Methods in Behavioural Sciences, University of Granada, Granada, Spain; Tsubakita T., Faculty of Management, Nagoya University of Commerce and Business, Japan; Volkodav T., Faculty of Pedagogy, Psychology and Communicative Studies, Kuban State University, Krasnodar, Russian Federation; Wlodarczyk A., Escuela de Psicolog, Facultad de Humanidades, Universidad Catica del Norte, Antofagasta, Chile; Yadav R., School of Business and Management, Christ University, Bangalore, India</text>
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            <element elementId="50">
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              <elementTextContainer>
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                  <text>Conference Papers</text>
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      <name>Conference Paper</name>
      <description>Faculty Publications- Conference Papers</description>
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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="185958">
                <text>Comparison of Various Types of Lubrication During Hard Turning of H13 Tool Steel by Analysing Flank Wear Using ANOVA</text>
              </elementText>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="185959">
                <text>ANOVA; Flank wear; Hard turning; MCFA; MQL; SEM</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="185960">
                <text>Hard machining of components has been a new attraction in the field of manufacturing, as it avoids the need for multiple cost inculcation processes for a single part. Hard machining attracts a wide attention to the researchers because of the usage of hard tools, tougher machinery and enormous quantities of cutting fluids. Optimized use of any of these functionaries can result in reduction of cost as well as safer and clean working environments. In this research new cutting fluid reduction processes were compared along with the use of hard metal inserts. These two methods suggest an enormous amount of cost reduction along with cleaner shop floor. Minimal quantity lubrication (MQL) and minimal cutting fluid application (MCFA) capacities in cutting fluid reduction as mentioned by various researchers in past two decades. These methods were compared in this research paper for finding out the best possible system. Flank wear is considered as a crucial parameter in hard machining as the wear rate affects other deserving product qualities such as surface finish and job profiles. In this research tungsten carbide coated hard metal inserts were used instead of conventional CBN or diamond tipped tools, which are of higher in price margin. The study comprised of Taguchis L9 orthogonal array, which was advised by previous researchers as good tool for optimisation. MQL and MCFA assisted experimentation were performed with same cutting conditions, which were then again compared with dry hard machining and wet machining. Influence of each input parameters where critically evaluated using ANOVA. The results revealed that a promising reduction in tool wear was noticed in MCFA assisted hard machining.  2020, Springer Nature Singapore Pte Ltd.</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="185961">
                <text>Raj A.; Ramesha K.; Sajan J.U.; Khan D.M.; Varshini U.A.</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="185962">
                <text>Lecture Notes in Mechanical Engineering, pp. 489-497.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="185963">
                <text>Springer Science and Business Media Deutschland GmbH</text>
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                <text>Raj A., Department of Mechanical and Automobile Engineering, Faculty of Engineering, Christ University, Bangalore, 560074, India; Ramesha K., Department of Mechanical and Automobile Engineering, Faculty of Engineering, Christ University, Bangalore, 560074, India; Sajan J.U., Department of Mechanical and Automobile Engineering, Faculty of Engineering, Christ University, Bangalore, 560074, India; Khan D.M., Department of Mechanical and Automobile Engineering, Faculty of Engineering, Christ University, Bangalore, 560074, India; Varshini U.A., Department of Mechanical and Automobile Engineering, Faculty of Engineering, Christ University, Bangalore, 560074, India</text>
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                <text>COMPARISON OF VIOLENCE IN TELEVISION ANIMATION IN THE PAST TWO DECADES AND IF THERE IS AN EFFECT ON THE MINDS ON THE VIEWERS</text>
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                <text> Singh Anuradha</text>
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                <text>Cartoons are the most popular form of entertainment for children.   There are very few children who do not watch cartoons. Cartoons are animated figures which carry a story along with it. Every child is exposed to cartoons in some way or the other and whether we except it or not cartoons do have an impact on the minds of the viewers. That??s why most of the cartoons for children are sweet and innocent. But there are a few cartoons that have violence in them. This violence at times can affect the minds and the thinking process of the child. Over the past two decades violence in cartoons has increased. So this study compares the cartoons in the two decades and the increase and the effect it has on the minds.

The study to a certain extent proved that the sample population believes that the violence that they view affects them in some way or the other.

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                <text>Comparisons of Stock Price Predictions Using Stacked RNN-LSTM</text>
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                <text>Interest patterns; Investments; Long Short-Term Memory (LSTM); Machine learning; Neural networks; RNN; Stock market</text>
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                <text>This paper seeks to identify how the RNN-LSTM can be used in predicting the rise and fall in stock markets thereby helping investors to understand stock prices. Therefore, by predicting the nature of the stock market, investors can use different machine learning techniques to understand the process of selecting the appropriate stock and enhance the return investments thereafter. Long Short-Term Memory (LSTM) is a deep learning technique that helps to analyze and predict the data with respect to the challenges, profits, investments and future performance of the stock markets. The research focuses on how neural networks can be employed to understand price changes, interest patterns and trades in the stock market sector.The datasets of companies such as IBM, Cisco, Microsoft, Tesla and GE were used to build the stacked RNN-LSTM model using timesteps of 7 and 14days. The two layered stacked RNN-LSTM models of the companies such as Microsoft and Tesla achieved their highest model accuracies after being trained over a span of one year whereas the other companies acquired their highest accuracies after being trained over a span of 4 to 5years which implies that the rate of change of economic factors affecting Microsoft and Tesla over a short span of time is high as compared to the other existing companies.  2021, Springer Nature Switzerland AG.</text>
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              <elementText elementTextId="183331">
                <text>Sequeira S.; Banu P.K.N.</text>
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                <text>Communications in Computer and Information Science, Vol-1483, pp. 380-390.</text>
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                <text>&lt;a href="https://doi.org/10.1007/978-3-030-91244-4_30" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-3-030-91244-4_30&lt;/a&gt;
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                <text>ISSN: 18650929; ISBN: 978-303091243-7</text>
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                <text>Sequeira S., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Banu P.K.N., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India</text>
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            <description>A name given to the resource</description>
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                <text>Compendium of Qubit Technologies inQuantum Computing</text>
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            <description>The topic of the resource</description>
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              <elementText elementTextId="173685">
                <text>Charge-phase qubits; Dots and donors; NMR; Photonic qubits; Quantum computing; Qubit; Solid-state qubits; Topology; Trapped ion</text>
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                <text>Quantum computing is information processing based on the principles of quantum mechanics. Qubits are at the core of quantum computing. A qubit is a quantum state where information can be encoded, processed, and readout. Any particle, sub-particle, or quasi-particle having a quantum phenomenon is a possible qubit candidate. Ascendancy in algorithms and coding demands knowledge of the specificities of the inherent hardware. This paper envisages qubits from an information processing perspective and analyses core qubit technologies.  2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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              <elementText elementTextId="173687">
                <text>Sebastian E.; Poonia R.C.</text>
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                <text>Lecture Notes in Networks and Systems, Vol-686 LNNS, pp. 91-100.</text>
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                <text>Springer Science and Business Media Deutschland GmbH</text>
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                <text>ISSN: 23673370; ISBN: 978-981992099-0</text>
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                <text>Sebastian E., Department of Computer Science, Assumption College, Kerala, Changanassery, 686101, India; Poonia R.C., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India</text>
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          <element elementId="50">
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                <text>Competitive and contagion effect of initial public offerings in India: An empirical study</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="100389">
                <text>Competitive effect; Contagion effect; Initial public offering; Investment strategy; Supply effect</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="100390">
                <text>This study aims to empirically examine the impact of initial public offerings (IPOs) on the equity share prices of industry rivals. The cross-industry sample comprises 13 companies across six different industries in the Indian market. The study investigates four key variables: the stock returns of industry rivals before and after the IPO of a new market entrant, as well as the daily traded volume of both the market entrant and industry rivals in the days following the IPO. The analysis reveals a significant association between the stock prices of industry rivals before and after the listing date of a market entrant, as evidenced by the adoption of three distinct time windows. However, no significant relationship is observed between the daily traded volume of market entrants and industry rivals. The results reveal the presence of the competitive and contagion effect and the lack of active capitalisation of this short-term phenomenon by investors.  2023 The Author</text>
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              <elementText elementTextId="100391">
                <text>Pulikottil R.P.</text>
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              <elementText elementTextId="100392">
                <text>Social Sciences and Humanities Open, Vol-8, No. 1</text>
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                <text>COMPETITIVE MARKETING IN INDIA: A CASE STUDY ON AD STRATEGIES OF SAMSUNG GALAXY AND NOKIA LUMIA </text>
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                <text>Today the first thing that we look for before moving out of our house is our cell phone. This gadget has made possible for us to keep in touch with the entire globe irrespective of where we are. The first ever mobile phone which was commercially available was DynaTAC 8000x but that was the era when not many people could afford it. Contrary to this, today is the time where every nine out of ten people have their personal cell phones. This to a certain limit was made possible by Reliance. It came out with affordable CDMA cell phones which even the lower class population of India could afford. Although these companies have created a benchmark for themselves, they have not really been the leading brands of the industry in terms of variation, style, preference, promotion etc. To a certain extent, it has been noticed that Nokia has been the preference of the people due to its variety, style and longitivity. Nokia has been the leading smart phone brand in the industry for several years. For long it has maintained its credibility, keeping itself connected with the clients. The loyalty that its customers had for the company was strong enough for them to not go in search for other brands. Samsung, on the contrary wasnt doing very well in the market. Its designs and applications were constantly failing. Therefore the fact that Samsung is now the leading brand in our country has a lot aspects attached to it. There have been uncompromising strategies put behind the success of Samsung. From a very nominal smart phone company, it has risen to the most popular smart phone company in India. Its has been noticed that with the incoming of new handsets and softwares, there has been a change even in its promotional activities. Nokia, which in the past was loaded with new launches like the N series or the E series, suddenly came to a halt. This was when the Samsung started coming up with its touch screen Corby phones. Therefore this study will be executed to mark the difference in the marketing strategies of Samsung at its stage of rival, also comparing it to the parallel Nokia Advertisements. </text>
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                <text>Complete analysis of beam analyzing powers in d + ? ? ? n + p at near threshold energies</text>
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                <text>beam analyzing powers; big bang nucleosynthesis; Photodisintegration of deuteron; photon polarization</text>
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                <text>Focusing attention on the photon spin in d ( ? ? , n ) p at near threshold energies of interest to Big Bang Nucleosynthesis, a complete analysis of beam analyzing powers in d ( ? ? , n ) p reaction is carried out. A complete analysis of the reaction needs not only measurements using one state of linear polarization of photon but also measurements using another state of linear polarization inclined to the first at ?/4 and the two states of circular polarization of the photon. A discussion on the complete characterization of the states of photon polarization is presented. The beam analyzing powers with respect to photon polarization are discussed theoretically, using model independent irreducible tensor formalism.  2022 IOP Publishing Ltd.</text>
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                <text>Complete analysis of differential cross section in 7 Li + ? ? ? 6 Li + n at astrophysical energies</text>
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                <text>Big Bang Nucleosynthesis; differential cross section; lithium Photodisintegration; photon polarization</text>
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                <text>We have carried out complete analysis of differential cross section in 7 Li + ? ? 6 Li + n using model-independent theoretical formalism. A complete analysis of the reaction involves measurements of not only one state of linear polarization of the photon but also another state of linear polarization inclined to the first at 45? and two states of circular polarization of the photon. An analytical study of the differential cross section including all the photon polarization states is carried out at near-threshold energies of interest to Big Bang Nucleosynthesis.  2024 IOP Publishing Ltd</text>
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                <text>Aswathi V.; Shastri V.; Shilpashree S.P.</text>
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                <text>Aswathi V., Department of Physics, School of Engineering and Technology, CHRIST University, Bangalore, 560074, India; Shastri V., Department of Physics, School of Engineering and Technology, CHRIST University, Bangalore, 560074, India; Shilpashree S.P., Department of Physics, School of Engineering and Technology, CHRIST University, Bangalore, 560074, India</text>
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          <element elementId="50">
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                <text>Complex and Multifaceted Nature of Cryptocurrency Markets: A Study to Understand its Time-Varying Volatility Dynamics</text>
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          <element elementId="49">
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                <text>Cryptocurrency; Decentralised Finance; DeFi; EGARCH; GJR-GARCH; Market Capitalization</text>
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                <text>Decentralised Finance (DeFi) provides a new way to perform complex financial transactions by exploiting blockchain's ability to maintain a decentralised ledger of transactions without being constrained by centralised systems or human intermediaries. DeFi provides alternative financial instruments that might lessen portfolio risk, especially given the erratic state of the financial markets today. This study analyses the association between the year of the coin in which it was introduced and the market capitalisation of the respective companies. Furthermore, the study also tries to understand the volatility associated with cryptocurrencies using EGARCH &amp;amp; GJR-GARCH models. The results reveal that market capitalisation is not similar for all three stages of the age of cryptocurrency. Also, negative news tends to impact Bitcoin more than positive news, and the volatility is persistent and long-lasting. Ethereum, BNB &amp;amp; Solana see more volatility from absolute past shocks; however, Tether exhibits low but persistent volatility as a stablecoin.  2024, Creative Publishing House. All rights reserved.</text>
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                <text>Agrawal M.; Dias R.; Irfan M.; Galv R.; Gonlves S.</text>
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                <text>Journal of Ecohumanism, Vol-3, No. 4, pp. 3012-3031.</text>
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                <text>Agrawal M., NSB, Karnataka, Bangalore, India; Dias R., Instituto Politnico de Setal, Escola Superior de Cicias Empresariais, Setal, Portugal; Irfan M., School of Business and Management, Christ University, Bengaluru, India; Galv R., Instituto Politnico de Setal, Escola Superior de Cicias Empresariais, Setal, Portugal; Gonlves S., Instituto Politnico de Setal, Escola Superior de Cicias Empresariais, Setal, Portugal</text>
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                <text>Cultures across the globe have evolved time-tested rituals to honor those who die and offer solace and support to survivors with the goal of helping them to accept the reality of the death, cope with the feelings of loss, adjust to life without the deceased, and find ways to maintain a connection to the memory of the deceased. The COVID-19 pandemic has disrupted these rituals and brought significant changes to the way we mourn. Specifically, public health responses to COVID-19 such as social distancing or isolation, delays or cancellations of traditional religious and cultural rituals, and shifts from in-person to online ceremonies have disrupted rituals and thus made it more difficult to access support and complete the psychological tasks typically associated with bereavement. This paper conceptualizes the common bereavement tasks including emotion-focused coping, maintaining a connection to the deceased, disengagement and reframing death and loss, and problemfocused coping. It provides examples of how the COVID-19 pandemic has altered mourning rituals across several cultures and religions and contributed to prolonged grief disorder as defined by the ICD-11 that includes depressive symptoms and post-traumatic stress. Early evidence suggested that the suddenness of loss, the social isolation, and the lack of social support often associated with COVID-19-related death are salient risk factors for complicated grief. As a consequence, psychological assessments, grief counseling, and mental health support are needed by families of patients who died from COVID-19. These services must be essential components of any comprehensive public health response to the pandemic.   2022 Hogrefe Publishing.</text>
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                <text>International Perspectives in Psychology: Research, Practice, Consultation, Vol-11, No. 3, pp. 214-221.</text>
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                <text>Hogrefe Verlag GmbH &amp;amp; Co. KG</text>
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                <text>ISSN: 21573883</text>
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                <text>Khoury B., Department of Psychiatry, American University of Beirut Medical Center, PO Box 11-0236/B2, Riad El-Solh, Beirut, 1107 2020, Lebanon; Barbarin O., Department of African American Studies and Psychology, University of Maryland, College Park, MD, United States; Gutirez G., Departamento de Psicolog, Universidad Nacional de Colombia, Bogot Colombia; Klicperova-Baker M., Institute of Psychology, Czech Academy of Sciences, Prague, Czech Republic; Padakannaya P., Department of Psychology, Christ University, Bangalore, India; Thompson A., Department of Psychology, Sociology &amp;amp; Social Work, School of Social Sciences, University of the Bahamas, Nassau, Bahamas</text>
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                <text>Components of the diffuse ultraviolet radiation at high latitudes</text>
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                <text>Diffuse radiation; Dust; Extinction; ISM: clouds; Ultraviolet: ISM</text>
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            <name>Description</name>
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                <text>We have used data from the Galaxy Evolution Explorer to study the different components of the diffuse ultraviolet background in the region between the Galactic latitudes 70?-80?. We find an offset at zero dust column density (E(B ? V) = 0) of 240  18 photon units in the FUV (1539  and 394  37 photon units in the NUV (2316 . This is approximately half of the total observed radiation with the remainder divided between an extragalactic component of 114  18 photon units in the FUV and 194  37 photon units in the NUV and starlight scattered by Galactic dust at high latitudes. The optical constants of the dust grains were found to be a = 0.4  0.1 and g = 0.8  0.1 (FUV) and a = 0.4  0.1 and g = 0.5  0.1 (NUV). We cannot differentiate between a Galactic or extragalactic origin for the zero-offset but can affirm that it is not from any known source.  2019 Oxford University Press. All rights reserved.</text>
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              <elementText elementTextId="127961">
                <text>Akshaya M.S.; Murthy J.; Ravichandran S.; Henry R.C.; Overduin J.</text>
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                <text>Monthly Notices of the Royal Astronomical Society, Vol-489, No. 1, pp. 1120-1126.</text>
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              <elementText elementTextId="127963">
                <text>Oxford University Press</text>
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                <text>&lt;a href="https://doi.org/10.1093/mnras/stz2186" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1093/mnras/stz2186&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083168178&amp;amp;doi=10.1093%2Fmnras%2Fstz2186&amp;amp;partnerID=40&amp;amp;md5=435b2de9178e94ba4b2cb627f05fbeeb" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083168178&amp;amp;doi=10.1093%2fmnras%2fstz2186&amp;amp;partnerID=40&amp;amp;md5=435b2de9178e94ba4b2cb627f05fbeeb&lt;/a&gt;</text>
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="127966">
                <text>All Open Access; Green Open Access</text>
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            </elementTextContainer>
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            <description>A related resource</description>
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                <text>ISSN: 358711; CODEN: MNRAA</text>
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            <description>The file format, physical medium, or dimensions of the resource</description>
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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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                <text>Akshaya M.S., Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, 560 029, India; Murthy J., Indian Institute of Astrophysics, Bengaluru, 560 034, India; Ravichandran S., Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, 560 029, India; Henry R.C., Henry A. Rowland Department of Physics and Astronomy, Johns Hopkins University, Baltimore, 21218, MD, United States; Overduin J., Department of Physics, Astronomy and Geosciences, Towson University, Towson, 21252, MD, United States</text>
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      <name>Book Chapter</name>
      <description>Faculty Publications- Book Chapter</description>
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                <text>Composites based on natural polymers</text>
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          <element elementId="49">
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            <description>The topic of the resource</description>
            <elementTextContainer>
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                <text>Hemicellulose; Lignin; Pectin</text>
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            <description>An account of the resource</description>
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                <text>Polymers are composed of macromolecules of high molecular weight formed by the repeated union of small molecules known as monomers. Polymer materials over other materials such as metals and ceramics, are of light weight and hence extensively used. The use of renewable raw materials can provide a substantial activity for a sustainable society and environment. Natural polymer composites can provide an alternative to increasingly scarce raw materials from plants and animals.  2017 Nova Science Publishers, Inc.</text>
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                <text>Mathew B.B.; Moses V.; Biju V.G.; Chetan N.; Archna; Siddappa A.</text>
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                <text>Natural Polymers: Derivatives, Blends and Composites, Vol-2, pp. 119-156.</text>
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              <elementText elementTextId="160300">
                <text>Nova Science Publishers, Inc.</text>
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                <text>ISBN: 978-153610440-0; 978-153610426-4</text>
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                <text>Mathew B.B., Department of Biotechnology, Sapthagiri College of Engineering, Bangalore, India; Moses V., Department of Biotechnology, Sapthagiri College of Engineering, Bangalore, India; Biju V.G., Department of Computer Science Engineering, Christ University, CUFE, Bangalore, India; Chetan N., Department of Mechanical Engineering, Dr. Ambedkar Institute of Technology, Bangalore, India; Archna, Department of Chemical Engineering, MS Ramaiah Institute of Technology, Bangalore, India; Siddappa A., Department of Biotechnology, Sapthagiri College of Engineering, Bangalore, India</text>
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                <text>Compositionally Homogeneous Soft Wrinkles on Elastomeric Substrates: Novel Fabrication Method, Water Collection from Fog, and Triboelectric Charge Generation</text>
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                <text>buckling instabilities; modulated optical responses; soft surface wrinkles; spin-coating; triboelectric charge generation; water collection</text>
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                <text>Functionality and stimuli-response of natural and artificial elastomeric materials depend significantly on the morphology of their surfaces. Structural transformability and tunable responsiveness of wrinkles on elastomeric materials can enable numerous applications in flexible electronics, optics, and adhesives. Currently existing fabrication techniques rely on sophisticated instrumentation, complex experimental setups, and expensive reagents. These methods are limited in terms of mechanical robustness of the wrinkles produced. Here, a simple, inexpensive, scalable, and reproducible strategy, making use of buckling instability for the creation of soft surface wrinkles on polydimethylsiloxane (PDMS), is presented. PDMS with lower elastic modulus is spin-coated onto a mechanically stretched film of PDMS with a higher elastic modulus. Thermal curing followed by the release of prestrain resulted in the formation of wrinkles in the top layer of the PDMS. The hydrophobic soft surface wrinkles with compositional homogeneity exhibit efficient fog water collection and triboelectric charge generation useful for the preparation of triboelectric nanogenerator devices. Furthermore, the substrates show high mechanical stability and mechanoresponsive optical behaviors. The simplicity and general applicability of the method presented here is expected to establish a promising pathway toward the formation of soft wrinkles in other elastomeric systems also, facilitating important applications in various fields.  2022 Wiley-VCH GmbH.</text>
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                <text>Raj S.S.; Davis D.; Viswanathan P.; Chandrasekhar A.; Vinod T.P.</text>
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                <text>Macromolecular Materials and Engineering, Vol-307, No. 9</text>
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                <text>ISSN: 14387492; CODEN: MMENF</text>
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                <text>Raj S.S., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Bengaluru, 560029, India; Davis D., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Bengaluru, 560029, India; Viswanathan P., Nanosensors and Nanoenergy Lab, Department of Sensors and Biomedical Technology, School of Electronics Engineering, Vellore Institute of Technology, Tamil Nadu, Vellore, 632014, India; Chandrasekhar A., Nanosensors and Nanoenergy Lab, Department of Sensors and Biomedical Technology, School of Electronics Engineering, Vellore Institute of Technology, Tamil Nadu, Vellore, 632014, India; Vinod T.P., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Bengaluru, 560029, India</text>
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                <text>Composting for a sustainable future: Turning waste into nutrient-rich soil</text>
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                <text>As the worldwide waste management problem has risen, composting has gained popularity. It turns organic trash into nutrient-rich soil for agriculture, landscaping, and environmental rehabilitation. This chapter on composting, "Composting for a Sustainable Future: Turning Waste into Nutrient-Rich Soil," is comprehensive. It covers decomposition science, composting methods, materials, and procedures. Composting's agricultural, landscaping, and environmental remediation benefits are also covered. The chapter also examines composting's role in climate change mitigation, its obstacles, and remedies. Decomposition can help people, businesses, and communities live more sustainably. It urges decomposition and trash reduction and provides information about tools to start composting, a simple yet efficient solution to worldwide waste management.  2024, IGI Global. All rights reserved.</text>
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                <text>Singha R.; Singha S.</text>
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                <text>Water-Soil-Plant-Animal Nexus in the Era of Climate Change, pp. 279-297.</text>
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                <text>&lt;a href="https://doi.org/10.4018/978-1-6684-9838-5.ch013" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.4018/978-1-6684-9838-5.ch013&lt;/a&gt;
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                <text>Singha R., Christ University, India; Singha S., Kristu Jayanti College (Autonomous), India</text>
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