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                <text>Skin lesion classification using decision trees and random forest algorithms</text>
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                <text>Artifacts; Asymmetry; Decision trees; Dermoscopy; Entropy function; Feature maps; Filters; Lesion configuration; Melanoma; Noise; Skin lesion; Specificity; Texture</text>
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                <text>Any superficial skin growth that does not resemble the surrounding area is referred to as skin lesion. It can occur in the form of mole, bump, cyst, rash or other changes that can be classified either as primary or secondary lesion. While primary skin lesions correspond to those changes in color or texture, secondary lesions occur as a primary lesion progression. Skin lesion image segmentation and classification at the early stages can help the patients recover through proper medication and treatment. Many algorithms for segmentation and classification are available in the literature but they all fail to extract lesion boundaries perfectly and classify them with more accuracy. To improve the reliability of the skin image segmentation and classification, we propose to use decision trees and random forest algorithms in this works and compare them with different data sets. The proposed method can generate high-resolution feature maps that can help to preserve the spatial details of the image. While tested against the ISIC 2017 and HAM10000 dataset, we found that the proposed method is more accurate as compared to the existing algorithms in this domain and is also very robust to artifacts or hair fibers present in the skin images.  2020, Springer-Verlag GmbH Germany, part of Springer Nature.</text>
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                <text>&lt;a href="https://doi.org/10.1007/s12652-020-02675-8" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/s12652-020-02675-8&lt;/a&gt;
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                <text>Dhivyaa C.R., Nandha College of Technology, Erode, India; Sangeetha K., Department of CSE, Kongu Engineering College, Perundurai, India; Balamurugan M., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST Deemed to be University, Bangalore, India; Amaran S., Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, India; Vetriselvi T., Department of Computer Science and Engineering K, Ramakrishnan College of Technology, Tiruchirappalli, India; Johnpaul P., Department of Mathematics, SRM Institute of Sceince and Technology, Kattankulathur, India</text>
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                <text>Framework for proactive visualization of text based narrative using NLP</text>
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                <text>Conditional Batch Normalization (CBN); Natural Language Processing (NLP); Part-Of-Speech (POS); Probabilistic Modelling; Tokenization</text>
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                <text>Language is an essential mode, not only for human communicationbut also for thinking. A story is conveyed or a report of an incident is being told, humans perceive the conveyed information in the form of visual insights. The increasing advancements in the field of artificial intelligence can help with the same in machines. This paper reflects on the internalization of stories from a cognitive perspective and outlines a scalable framework for supporting the visualization of narrative text data. This paper leverages natural language processing (NLP), probabilistic modelling of discourse knowledge, information extraction of narrative components (who, where, when, what) and the narrative visualization. The graphics knowledge base storage structure has been redesigned to obviate the necessity of having a larger database for all graphics entity. With the developed framework, any user can input unrestricted natural language for the dynamic generation of animated scenes. This provides users with direct visual output in response to their natural language input. This tool can potentially impact the way humans interact with computers and expand a completely new way of understanding conversations.  2020 IJSTR.</text>
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                <text>Benedict A.G.; Shukla S.</text>
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                <text>International Journal of Scientific and Technology Research, Vol-9, No. 2, pp. 239-248.</text>
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                <text>ISSN: 22778616</text>
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                <text>Benedict A.G., CHRIST (Deemed to be University), Faculty of Engineering, Bangalore, India; Shukla S., CHRIST (Deemed to be University), Lavasa Campus, Pune, India</text>
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                <text>Injective coloring of complementary prism and generalized complementary prism graphs</text>
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                <text>Complementary prism; generalized complementary prism; injective coloring</text>
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                <text>The complementary prism Gof a graph G is the graph obtained by drawing edges between the corresponding vertices of a graph G and its complement. In this paper, we generalize the concept of complementary prisms of graphs and determine the injective chromatic number of generalized complementary prisms of graphs. We prove that for any simple graph G of order n, ?i(G ? n and if G is a graph with a universal vertex, then ?i(G = n.  2020 World Scientific Publishing Company.</text>
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                <text>Raksha M.R.; Hithavarshini P.; Dominic C.; Sudev N.K.</text>
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                <text>Discrete Mathematics, Algorithms and Applications, Vol-12, No. 2</text>
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                <text>&lt;a href="https://doi.org/10.1142/S1793830920500263" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1142/S1793830920500263&lt;/a&gt;
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                <text>ISSN: 17938309</text>
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                <text>Raksha M.R., Department of Mathematics, CHRIST (Deemed to Be University), Bangalore, Karnataka, 560029, India; Hithavarshini P., Department of Mathematics, CHRIST (Deemed to Be University), Bangalore, Karnataka, 560029, India; Dominic C., Department of Mathematics, CHRIST (Deemed to Be University), Bangalore, Karnataka, 560029, India; Sudev N.K., Department of Mathematics, CHRIST (Deemed to Be University), Bangalore, Karnataka, 560029, India</text>
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                <text>A study on prediction of health care data using machine learning</text>
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                <text>Classification; Clustering; Data mining; Electronic-Health Record(HER); Health care; Health informatics; Machine Learning</text>
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                <text>Every clinical-decision relies on the doctors experience and knowledge. Perhaps this conventional practice may look appropriate, but it may lead to unpredictable errors, biases, and maximized costs that may affect QoS (Quality-of-Service) given to patients. To help the doctor to save time, the conventional practice to analyze the data for clinical-decision support has to be updated. Machine Learning (ML) and Data Mining (DM) algorithms have applied to have greater and higher predictions. This paper studies a set of ML algorithms by which clinical-predictions are going to be more appropriate and cost-effective.  IJSTR 2020.</text>
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                <text>Balamurugan M.; Krishna A.V.N.; Balachandran K.; Bhuvana J.</text>
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                <text>International Journal of Scientific and Technology Research, Vol-9, No. 4, pp. 616-620.</text>
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                <text>Balamurugan M., Department of CSE, CHRIST (Deemed to be University), Bengaluru, India; Krishna A.V.N., Department of CSE, CHRIST (Deemed to be University), Bengaluru, India; Balachandran K., Department of CSE, CHRIST (Deemed to be University), Bengaluru, India; Bhuvana J., Department of MCA, Jain (Deemed to be University), Bengaluru, India</text>
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                <text>A facile electrochemical oxidation of pyridyl carbinol based on Manganese dioxide-Phosphate (MnO2-Pi) was fabricated by electro-deposition of MnO2-Pi on Porous carbon nanospheres (PCN) modified carbon fiber paper (CFP) electrode. A simple working electrode was developed initially by coating Monkey Pod (MP) derived PCN on carbon fiber paper (CFP) electrode. Voltammetric deposition of MnO2-Pi on PCN/CFP electrode was carried out in an electrolyte containing phosphate buffer and KMnO4. The modified electrodes (PCN/CFP and MnO2-Pi-PCN/CFP) were characterized by different physicochemical methods and electroanalytical techniques like cyclic voltammetry and AC impedance spectroscopy. Inorganic phosphate (Pi) and MnO2 centers present on PCN/CFP electrode plays a major role towards oxidation of pyridyl carbinol electrochemically. The proposed MnO2-Pi-PCN/CFP electrode was effectively applied for the electrochemical oxidation of pyridyl carbinol in TEMPO medium.   2020 The Author(s).</text>
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                <text>All Open Access; Hybrid Gold Open Access</text>
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                <text>Mathew A.T., Department of Chemistry, CHRIST (Deemed to Be University), Bengaluru, 560029, India; Hegde S., Centre for Nano-Materials and Displays, B.M.S. College of Engineering, Bengaluru, 560019, India; Akshaya K.B., Department of Chemistry, CHRIST (Deemed to Be University), Bengaluru, 560029, India; Kannan P., Department of Chemistry, CHRIST (Deemed to Be University), Bengaluru, 560029, India; Varghese A., Department of Chemistry, CHRIST (Deemed to Be University), Bengaluru, 560029, India; Hegde G., Centre for Nano-Materials and Displays, B.M.S. College of Engineering, Bengaluru, 560019, India</text>
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                <text>Influence of employees' perception on the use of flexible work arrangements</text>
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                <text>Benefits; Community factors; Costs; Employee perception; Flexible work arrangements; India; Organizational and Occupational barriers</text>
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                <text>The study aims to explore the factors that influence the perception of employees on the usability of flexible work arrangements and to predict whether those factors induce them to opt for such flexible practices. The data was collected from 239 Indian employees working across different sectors of the country. The study employed a quantitative approach for data collection by using a structured questionnaire consisting of close-ended questions. The data was analyzed using factor analysis, binomial logistic regression and Analysis of Variance on SPSS Statistics 25. The study identified five major factors that influenced the employees perception about using flexible work options. Among them two factors namely, FWA perquisites and FWA anxiety were found significant in predicting the employees use of flexible work options. Further, it was found that married employees recognized strong benefits from using flexible options. This study contributes to the existing literature by unveiling the mindset of Indian employees towards flexible work arrangement and suggests that the employers, society and the government should create favorable environment for deploying flexible work practices.  2020 IJSTR.</text>
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                <text>Mamatha M.; Lakshmi B.</text>
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                <text>International Journal of Scientific and Technology Research, Vol-9, No. 3, pp. 4135-4142.</text>
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                <text>Mamatha M., Department of Commerce, CHRIST (Deemed to be University), Bangalore, India; Lakshmi B., Department of Commerce, CHRIST (Deemed to be University), Bangalore, India</text>
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                <text>Novel quantum inspired approaches for automatic clustering of gray level images using Particle Swarm Optimization, Spider Monkey Optimization and Ageist Spider Monkey Optimization algorithms</text>
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                <text>Ageist spider monkey; Automatic clustering; Cluster validity indices; Friedman test; Meta-heuristic algorithms; Particle swarm optimization; Quantum computing; Spider monkey; t-test</text>
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                <text>This paper is intended to identify the optimal number of clusters automatically from an image dataset using some quantum behaved nature inspired meta-heuristic algorithms. Due to the lack of sufficient information, it is difficult to identify the appropriate number of clusters from a dataset, which has enthused the researchers to solve the problem of automatic clustering and to open up a new era of cluster analysis with the help of several natures inspired meta-heuristic algorithms. In this paper, three quantum inspired meta-heuristic techniques, viz., Quantum Inspired Particle Swarm Optimization (QIPSO), Quantum Inspired Spider Monkey Optimization (QISMO) and Quantum Inspired Ageist Spider Monkey Optimization (QIASMO), have been proposed. A comparison has been outlined between the quantum inspired algorithms with their corresponding classical counterparts. The efficiency of the quantum inspired algorithms has been established over their corresponding classical counterparts with regards to fitness, mean, standard deviation, standard errors of fitness, convergence curves (for benchmarked mathematical functions) and computational time. Finally, the results of two statistical superiority tests, viz., t- test and Friedman test have been provided to prove the superiority of the proposed methods. The superiority of the proposed methods has been established on five publicly available real life image datasets, five Berkeley image datasets of different dimensions and four benchmark mathematical functions both visually and quantitatively.  2019 Elsevier B.V.</text>
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                <text>Dey A., Department of Computer Science and Engineering, RCC Institute of Information Technology, Kolkata, India; Dey S., Department of Computer Science, Sukanta Mahavidyalaya, Dhupguri, Jalpaiguri, India; Bhattacharyya S., Department of Computer Science and Engineering, Christ University, Bangalore, India, Faculty of Electrical Engineering and Computer Science, VSB Technical University of Ostrava, Czech Republic; Platos J., Faculty of Electrical Engineering and Computer Science, VSB Technical University of Ostrava, Czech Republic; Snasel V., Faculty of Electrical Engineering and Computer Science, VSB Technical University of Ostrava, Czech Republic</text>
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                <text>Nexus Between The Carbon Dioxide Emission And Economic Growth: Evidence From India</text>
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                <text>0110; CO&lt;sub&gt;2&lt;/sub&gt;; Coal consumption; Environment; FDI; GDP; JEL classification: C50; Q56; Q58</text>
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                <text>Increase in economic activities contributes to the economic growth of a country. It is evident that emerging economies have recorded higher economic growth and significant increase in coal consumption, energy consumption and electricity consumption. On the other hand, the emission of greenhouse gases (GHG) generating consequences in the atmosphere. In this context, this study tries to analyse the association between GDP per capita, FDI, population, trade openness and CO2 emissions per capita in India. The study is based on secondary data, which has been collected from the World Bank database. The time period under consideration is from 1960 to 2017. Augmented Dickey Fuller test has been used to test the unit root. VAR lag order criteria have been used for lag selection of the model. Since the variables are integrated at I (1) and I (0), the ARDL model has been used for the purpose of analysis. Furthermore, for checking the stability of the model, the CUSUM test has been used. The results show that in the long run, GDP per capita and FDI has a positive impact on CO2 emission whereas, in the short run coal consumption, FDI, GDP per capita and trade openness appears to have a significant and positive impact towards CO2 emission.  2020 - Kalpana Corporation</text>
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                <text>Rajeshwari U.R.</text>
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                <text>Indian Journal of Environmental Protection, Vol-40, No. 4, pp. 434-440.</text>
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              <elementText elementTextId="126037">
                <text>Kalpana Corporation</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131354939&amp;amp;partnerID=40&amp;amp;md5=61c3010194d8f929cd55c4aa02ea5163" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131354939&amp;amp;partnerID=40&amp;amp;md5=61c3010194d8f929cd55c4aa02ea5163&lt;/a&gt;</text>
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                <text>ISSN: 2537141; CODEN: IJEPD</text>
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                <text>Rajeshwari U.R., CHRIST (Deemed to be University), Department of Economics, Bangalore, 560 029, India</text>
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              <elementText elementTextId="126019">
                <text>Secure Through Development: Evaluation of Indias Border Area Development Programme</text>
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              <elementText elementTextId="126020">
                <text>The Border Area Development Programme was initiated in the year 198687, to strengthen Indias security by ensuring developed and secure borders. Initially, the programme was implemented in the western border states to facilitate deployment of the Border Security Force. Later, the geographical and functional scope of the programme was widened to include eastern and northern sectors of Indias borders and as well as socio-economic aspects such as education, health, agriculture and other allied sectors. But, it is difficult to say that the implementation has been uniform in all the sectors. While the programme on the Western front along the IndiaPakistan border has been fairly successful, it is yet to achieve its stated objectives on the Eastern front. Using an analytical framework, the article examines three aspects of BADP: Its context and concept; identifying challenges that hinder the Programmes effectiveness; and certain policy prescriptions.  2019,  2019 Institute for Defence Studies and Analyses.</text>
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              <elementText elementTextId="126021">
                <text>Manoharan N.; Saravanan D.; Saini V.; Karnatak S.</text>
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            <elementTextContainer>
              <elementText elementTextId="126022">
                <text>Strategic Analysis, Vol-44, No. 1, pp. 1-14.</text>
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              <elementText elementTextId="126024">
                <text>2020-01-01</text>
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              <elementText elementTextId="126025">
                <text>&lt;a href="https://doi.org/10.1080/09700161.2020.1699993" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1080/09700161.2020.1699993&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077394821&amp;amp;doi=10.1080%2F09700161.2020.1699993&amp;amp;partnerID=40&amp;amp;md5=faf94e239cac9731651b182c9aac6158" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077394821&amp;amp;doi=10.1080%2f09700161.2020.1699993&amp;amp;partnerID=40&amp;amp;md5=faf94e239cac9731651b182c9aac6158&lt;/a&gt;</text>
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            <elementTextContainer>
              <elementText elementTextId="126026">
                <text>Restricted Access</text>
              </elementText>
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              <elementText elementTextId="126027">
                <text>ISSN: 9700161</text>
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            <description>The file format, physical medium, or dimensions of the resource</description>
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              <elementText elementTextId="126029">
                <text>English</text>
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              <elementText elementTextId="126031">
                <text>Manoharan N., Department of International Studies and History, Christ University, Bangalore, India; Saravanan D., Department of English, Christ University, Bangalore, India; Saini V., Department of International Studies and History, Christ University, Bangalore, India; Karnatak S.</text>
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  <item itemId="16381" public="1" featured="0">
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                <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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        <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="126005">
                <text>Iot based real time potholes detection system using image processing techniques</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="126006">
                <text>GPS; Image Processing; Index Terms: Bluetooth communication; IoT; Real time pothole detection; Sensors; Smartphones; WiFi</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="126007">
                <text>Accidents owing to potholes has become an alarming problem in todays life. The first step to solve this problem requires, designing a device embedded on the vehicle which can continuously scan the road surface for identifying potholes, alerting the driver in time and enable the driver to avoid the pothole. The second step is to introduce a technique to enable the device to locate the position of the pothole via GPS (Global Positioning System). The GPS data can be uploaded via a GPRS (General Packet Radio Service) module or Bluetooth module onto a data base which is stored locally. This database can then be transferred to the cloud using WiFi or 4G technology by connecting the system. The third aspect is to link the database to a network system incorporating mapping software such as Google Maps or Open-Street Map. The data in the system can be made available to the general public as well as municipalities and road maintenance agencies. Awareness of the location of potholes will help drivers to avoid those roads and being more careful while driving on the same roads. This paper focuses on the pothole detection task based on image processing algorithms and the data captured from ultrasonic sensor placed on the vehicle. The later steps were implemented through Bluetooth interface available in smartphones.  IJSTR 2020.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="126008">
                <text>Singh K.; Hazra S.; Mukherjee C.; Sushanth G.; Gowda S.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
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            <elementTextContainer>
              <elementText elementTextId="126009">
                <text>International Journal of Scientific and Technology Research, Vol-9, No. 2, pp. 785-789.</text>
              </elementText>
            </elementTextContainer>
          </element>
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            <name>Publisher</name>
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            <elementTextContainer>
              <elementText elementTextId="126010">
                <text>International Journal of Scientific and Technology Research</text>
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          </element>
          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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              <elementText elementTextId="126011">
                <text>2020-01-01</text>
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              <elementText elementTextId="126012">
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079650231&amp;amp;partnerID=40&amp;amp;md5=89c272e822688dededa699ef635aba96" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079650231&amp;amp;partnerID=40&amp;amp;md5=89c272e822688dededa699ef635aba96&lt;/a&gt;</text>
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            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="126013">
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              <elementText elementTextId="126014">
                <text>ISSN: 22778616</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="126015">
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            <elementTextContainer>
              <elementText elementTextId="126016">
                <text>English</text>
              </elementText>
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          </element>
          <element elementId="51">
            <name>Type</name>
            <description>The nature or genre of the resource</description>
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              <elementText elementTextId="126017">
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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="126018">
                <text>Singh K.; Hazra S.; Mukherjee C., Department of ECE, CHRIST (Deemed to be University, India; Sushanth G.; Gowda S., Department of ECE, CHRIST (Deemed to be University, India</text>
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  <item itemId="16380" public="1" featured="0">
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      <elementSetContainer>
        <elementSet elementSetId="1">
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            <element elementId="50">
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      <name>Article</name>
      <description>Faculty Publications -Articles</description>
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      <elementSet elementSetId="1">
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="125991">
                <text>Factors influencing purchase decision and brand switching in the passenger car segment in Bengaluru</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="125992">
                <text>Brand Switching; Passenger Cars; Purchase Intention. Purchase Decision</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="125993">
                <text>This study identifies and analyses the Product Attributes of Passenger Cars and the demographic factors that influence consumer Purchase Decision and Brand Switching in the Indian context, specific to the city of Bengaluru. It discusses the existing knowledge pertaining to Passenger Cars and a conceptual framework is developed based on the review of literature. The research identifies what drives the Purchase Decision and Brand Switching for the Indian consumers and analyses how it differs based on demographic variables such as age, gender and income. Based on the model thus created, the research seeks to segment the Indian Passenger Car consumers according to the significant demographic variables thus identified. A questionnaire was administered to 200 respondents of different age, income and gender groups within the city of Bangalore. The data was then analyzed using Factor Analysis, One-way ANOVA and frequency analysis in SPSS.It was found that Quality, Aftersales Service, Safety and Price are the major value factors effecting purchase decision of Indian Passenger Car consumer. Age and income also has a significant influence of Purchase Decision and Brand Switching. It was also found that purchase intention varies between different age and income groups. The research was conducted within the city of Bangalore alone which may not be generalized to the entire country.  2020 SERSC.</text>
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              <elementText elementTextId="125994">
                <text>Adishesha Sairam K.B.; Barkathunissa A.</text>
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            <elementTextContainer>
              <elementText elementTextId="125995">
                <text>International Journal of Advanced Science and Technology, Vol-29, No. 5, pp. 2540-2554.</text>
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            </elementTextContainer>
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            <elementTextContainer>
              <elementText elementTextId="125996">
                <text>Science and Engineering Research Support Society</text>
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                <text>Adishesha Sairam K.B., School of Business and Management, Christ (Deemed to be University), Bengaluru, India; Barkathunissa A., School of Business and Management, Christ (Deemed to be University), Bengaluru, India</text>
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                <text>Designing a Dynamic Topology (DHT) for Cluster Head Selection in Mobile Adhoc Network</text>
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                <text>The mobile ad hoc networks (MANETs) are a collection of dynamic nodes facilitating communication from source to destination either using single or multi  hop forwarding mechanism. The nodes within the network possess energy constraints for which an effective clustering mechanism is used for facilitating communication between the nodes within and outside the clusters by designing a dynamic hybrid topology (DHT). The paper concentrates on clustering mechanism (EBCH) for reducing the energy consumption during communication from source to destination and number of parameters where analyzed in order to determine the selection of cluster head based on the energy consumption because this is directly related to the lifetime of the network. The implementation was carried out using MATLAB which offered an environment for performing simulation. The obtained results on comparison with conventional ENB and CPN algorithm improved the operations of cluster computation in ad hoc environments effectively in relation to the cluster head selection and reduced energy consumption.  2019, Springer Science+Business Media, LLC, part of Springer Nature.</text>
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                <text>Sindhanaiselvan K., Department of Computer Science and Engineering, MVJ College of Engineering, Bengaluru, 560067, Karnataka, India; Mannan J.M., Department of Information Science and Engineering, MVJ College of Engineering, Bengaluru, 560067, Karnataka, India; Aruna S.K., Faculty of Engineering, Department of Computer Science and Engineering, Christ University, Bengaluru, 560074, India</text>
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                <text>Well-being of North Eastern Migrant Workers in Bangalore</text>
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                <text>Day Reconstruction Method; gender well-being; Migrant life satisfaction; quality of life; subjective well-being</text>
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                <text>This paper explores the quality of life and subjective well-being of north-east migrant workers engaged in various formal and informal jobs in Bangalore. The composite well-being index reveals moderate well-being for the majority of workers. The disaggregated analysis, however, shows poor material conditions of life. Using the Day Reconstruction Method, we also find positive emotions associated with activities such as socialising but negative emotions for work and commuting. With respect to interacting partners, the negative emotions were highest while dealing with clients and customers. We also found positive correlations between life satisfaction and quality of life indicators, most strongly, with job quality. Lower quality of jobs, reported by women in comparison to men, suggests that organisations should aim to create more equal and enabling work spaces for all genders.  2020 Institute for Human Development.</text>
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              <elementText elementTextId="125966">
                <text>Pradeep D.; Adaina K.C.; Kahmei S.</text>
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                <text>Indian Journal of Human Development, Vol-14, No. 1, pp. 99-114.</text>
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                <text>Sage Publications India Pvt. Ltd</text>
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                <text>&lt;a href="https://doi.org/10.1177/0973703020916887" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1177/0973703020916887&lt;/a&gt;
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                <text>ISSN: 9737030</text>
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                <text>Pradeep D., Department of Economics, CHRIST (Deemed to be University), Bangalore, India; Adaina K.C., Department of Economics, CHRIST (Deemed to be University), Bangalore, India; Kahmei S., Department of Economics, CHRIST (Deemed to be University), Bangalore, India</text>
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                <text>Early prediction of lungs cancer by deep learning algorithms from the CT images with LBP features</text>
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              <elementText elementTextId="125950">
                <text>CT images; Deep Learning methods; LBP Features; Smoothening</text>
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                <text>The early prediction of the any type of cancer can save the lives of many especially if it is lung cancer which is one of the deadly diseases in the world. Thus the early prediction is implemented we can increase life expectancy and bring the mortality level low. Although there are various methods to detect the lung cancer cells by X-ray and CT scans, however the CT images are more preferred. The 2D images like CT scans are used to get medical results more accurate. The proposed method here will discuss how the LBP features are used to analyze the CT images with the support of Deep Learning methods. In this research work we will discuss how the image manipulation can be done to achieve better results from the CT images through various image processing methods. LBP features helps in estimating the distribution of local binary pattern of an image. A final result with 93% is achieved after the training of the processed images by LBP features.  2020 SERSC.</text>
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                <text>Dominic D.; Balachandran K.</text>
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                <text>International Journal of Advanced Science and Technology, Vol-29, No. 5, pp. 3863-3867.</text>
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                <text>Dominic D., Department of Computer Science and Engineering, Christ (Deemed to be University), Bengaluru, India; Balachandran K., Department of Computer Science and Engineering, Christ (Deemed to be University), Bengaluru, India</text>
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                <text>Accuracy statistics; Classification; Confusion Matrix; Data Mining; Decision Tree; DECISION TREE; KNIME; Random Forest</text>
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                <text>With vast amounts of data floating around everywhere, it is imperative to comprehend and draw meaningful insights from the same. With the proliferation of Internet and Information Technology, data has been increasing exponentially. The 5 Vs of data i.e. Value, volume, Velocity, variety and veracity will only make sense if we are able to examine the data and uncover the hidden, yet meaningful insights. With large data becoming a norm, a lot of data mining algorithms are available that help in data mining. We have tried to compare two classification algorithms, primarily Decision trees and Random forest. A total of 10 datasets have been taken from UCI Repository and Kaggle and with the help of Konstanz Information Miner (KNIME) workflows, a comparative performance has been made pertaining to the accuracy statistics of Random Forest and decision Tree. The results show that Random Forest gives better and accurate results for a dataset as compared to decision trees.  2020 SERSC.</text>
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                <text>Khanna A.; Dey N.</text>
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              <elementText elementTextId="125939">
                <text>International Journal of Advanced Science and Technology, Vol-29, No. 5, pp. 2365-2376.</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083863976&amp;amp;partnerID=40&amp;amp;md5=70d8435ba1924ba38f1848da283b8a86" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083863976&amp;amp;partnerID=40&amp;amp;md5=70d8435ba1924ba38f1848da283b8a86&lt;/a&gt;</text>
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                <text>ISSN: 20054238</text>
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                <text>English</text>
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                <text>Khanna A., Department of Commerce CHRIST (Deemed to be University), Bangalore, 560029, India; Dey N., Department of Commerce CHRIST (Deemed to be University), Bangalore, 560029, India</text>
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                <text>Influence of social media marketing on the purchase intention of Gen Z</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="125922">
                <text>Brand awareness; Brand loyalty; Customer-business interaction; Gen Z; Product perception; Purchase intention; Social media marketing</text>
              </elementText>
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              <elementText elementTextId="125923">
                <text>The purpose of this paper is to identify the influence of social media marketing on the purchase intention of Gen Z. A self-administered questionnaire is developed and distributed to 424 respondents who are born after 1994. Independent sample t-test and multiple linear regression model are used for statistical data analysis. The study finds social media marketing more effective than the traditional method of marketing on Gen Z indicating that social media marketing has a positive impact on their purchase intention, brand awareness, product perception, brand loyalty and customer-business interactions. It also reveals that developing the brand awareness, brand loyalty, product perception and customer-business interactions through social media marketing can ultimately influence the purchase intention of Gen Z. This paper addresses the differences in the purchase intention of those who prefer social media ads over traditional ads. It also highlights the importance of social media in marketing communications which help companies in retaining their customers and optimising search engine rankings.  2019 SERSC.</text>
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              <elementText elementTextId="125924">
                <text>Ninan N.; Roy J.C.; Cheriyan N.K.</text>
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            <elementTextContainer>
              <elementText elementTextId="125925">
                <text>International Journal of Advanced Science and Technology, Vol-29, No. 1, pp. 1692-1702.</text>
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              <elementText elementTextId="125926">
                <text>Science and Engineering Research Support Society</text>
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              <elementText elementTextId="125927">
                <text>2020-01-01</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85081544979&amp;amp;partnerID=40&amp;amp;md5=b829748ed02bd5dc8f0f06770bbb370d" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85081544979&amp;amp;partnerID=40&amp;amp;md5=b829748ed02bd5dc8f0f06770bbb370d&lt;/a&gt;</text>
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            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="125929">
                <text>Restricted Access</text>
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                <text>ISSN: 20054238</text>
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            <name>Format</name>
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                <text>Online</text>
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                <text>English</text>
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                <text>Ninan N., Marian International Institute of Management, Kuttikkanam, Kerala, India; Roy J.C., Bharat Mata College, Mahatma Gandhi University, Kerala, India; Cheriyan N.K., CHRIST (Deemed to be University), Bangalore, India</text>
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      <name>Article</name>
      <description>Faculty Publications -Articles</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="125907">
                <text>Epileptic seizure detection using EEG signals and multilayer perceptron learning algorithm</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="125908">
                <text>Electroencephalogram; Epileptic Seizure; Feature extraction; Multi-LayerPerceptron Learning Algorithm; Support Vector Machine; Wavelet</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="125909">
                <text>Purpose: Epileptic is a neurological chronic disorder that causes unprovoked, recurrent seizure. A seizure is a sudden rush of electrical activity in the brain. The central nervous system characterized by the loss of consciousness and convulsions. Epileptic is caused by abnormal electrical discharge that lead to uncountable movements, loss of consciousness and convulsions. 50-80 million people in the world are affected by this disorder. Now a days children and adults are affected the most and it has been medically treated. Sometimes it may lead to death and serious injuries. In this technology world the computerized detection is an enhanced solution to protect epileptic patients from dangers at the time of this seizure. Method: Perceptron learning algorithm is a supervised learning of binary classifiers and also it is a simple prototype of a biological neuron in artificial neural network. EEG is extensively documented for the diagnosing and assessing brain activates and related disorders. In this paper EEG signals are taken as dataset for epilepsy detection. The data is been represented based on three domains namely frequency, time and time-frequency applied by the chebysev filter for processing the signals. Result: Help the patients from dangers at the time of the seizure. Conclusion: The neurological diseases can be divided into two loss of consciousness and convulsions. In this technology world the seizure can be detected by computerized way like EEG and so on. This paper proposes an epileptic seizure detection using EEG (Electroencephalogram) and perceptron learning algorithm.  2020, IJSTR.</text>
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              <elementText elementTextId="125910">
                <text>Antoney F.; Ramamurthy B.</text>
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            <elementTextContainer>
              <elementText elementTextId="125911">
                <text>International Journal of Scientific and Technology Research, Vol-9, No. 3, pp. 494-497.</text>
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              <elementText elementTextId="125912">
                <text>International Journal of Scientific and Technology Research</text>
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              <elementText elementTextId="125913">
                <text>2020-01-01</text>
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                <text>&lt;a href="" target="_blank" rel="noreferrer noopener"&gt;&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082532848&amp;amp;partnerID=40&amp;amp;md5=9e694ada5a62a144112e83a3cd372f17" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082532848&amp;amp;partnerID=40&amp;amp;md5=9e694ada5a62a144112e83a3cd372f17&lt;/a&gt;</text>
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              <elementText elementTextId="125915">
                <text>Restricted Access</text>
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              <elementText elementTextId="125916">
                <text>ISSN: 22778616</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="125917">
                <text>Online</text>
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              <elementText elementTextId="125918">
                <text>English</text>
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                <text>Article</text>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <elementText elementTextId="125920">
                <text>Antoney F., Christ(Deemed to be University), India; Ramamurthy B., Christ(Deemed to be University), India</text>
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      <name>Article</name>
      <description>Faculty Publications -Articles</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="125893">
                <text>Strategies for facilitating listening skills among foreign language learners in US Universities</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="125894">
                <text>Comprehension skills; Foreign language teaching; Higher education; Listening skills; Listening strategies</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="125895">
                <text>Developing from the thesis that understanding is the key to any and all meaningful conversation/s, this study focuses on the facilitation of listening skills among foreign language learners. It is conducted with the objective to find out the most effective ways in which an instructor can enable the development of listening skills among the learners of a foreign language. This paper reports the findings of an empirical study which followed a cross-sectional research design and employed a survey method to elicit the data. Twenty-seven Foreign Language Instructors/ Associate Instructors teaching around thirteen different foreign languages across sixteen different universities in the United States of America participated and reported to a survey on effective pre-listening, listening, and post-listening tasks, activities, and strategies which they found to be the most powerful in their respective classrooms. Thirteen of the Seventeen strategies and or/ tasks which were provided in the Strategies for Facilitating Listening (SFL) questionnaire were rated to be highly effective in the facilitation of the development of listening skills among the learners. The paper after discussing the efficacies of the strategies and tasks at hand ends by analyzing the pedagogical implications of the findings.  2020 The authors and IJLTER.ORG. All rights reserved.</text>
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              <elementText elementTextId="125896">
                <text>Chattaraj D.</text>
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            <elementTextContainer>
              <elementText elementTextId="125897">
                <text>International Journal of Learning, Teaching and Educational Research, Vol-19, No. 4, pp. 150-169.</text>
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              <elementText elementTextId="125898">
                <text>Society for Research and Knowledge Management</text>
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              <elementText elementTextId="125899">
                <text>2020-01-01</text>
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                <text>&lt;a href="https://doi.org/10.26803/ijlter.19.4.10" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.26803/ijlter.19.4.10&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085655328&amp;amp;doi=10.26803%2Fijlter.19.4.10&amp;amp;partnerID=40&amp;amp;md5=5c5e7163fd4bd2d56852159d31f3f7cf" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085655328&amp;amp;doi=10.26803%2fijlter.19.4.10&amp;amp;partnerID=40&amp;amp;md5=5c5e7163fd4bd2d56852159d31f3f7cf&lt;/a&gt;</text>
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                <text>All Open Access; Bronze Open Access</text>
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                <text>ISSN: 16942116</text>
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                <text>Chattaraj D., Indiana University Bloomington, United States, Christ (Deemed to be University), Bangalore, India</text>
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                <text>An experimental investigation to study the performance and emission characteristics of n-butanol-gasoline blends in a twin spark ignition engine</text>
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              <elementText elementTextId="125880">
                <text>N-Butanol-Gasoline; Regulated Emissions &amp;amp; Combustion; Twin spark ignition</text>
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                <text>The need of a substitute for the fossil fuels has gained maximum importance in the recent days with the depletion of fossil fuels, increasing vehicle population, enforcement of strict pollution norms to ensure a better environment for the present and future generations. Researchers around the world have investigated many fuels for IC engines and have found that alcohols exhibit properties that closely resemble the properties of gasoline. Alcohols form a stable mixture with gasoline in almost all proportions. This property of alcohol has increased its popularity as a fuel blend with gasoline. This paper aims at presenting the performance characteristics of a twin spark ignition engine fuelled with the blends of n-butanol-gasoline. In this investigation, pure gasoline (B00) and blends of gasoline with n-Butanol forms the fuel for twin spark ignition engine. The use of B35 blend, lower carbon monoxide emissions, lower unburnt hydrocarbon and lower nitrogen oxide emissions are observed as compared to pure gasoline. With these investigational results, one can arrive at the conclusions that with the use of higher blends of n-butanol-gasoline, the emission of the regulated emissions are reduced and are seen to be optimal with B35 in a twin spark ignition engine.  TJPRC Pvt. Ltd.</text>
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                <text>Ravikumar R.; Antony A.J.</text>
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                <text>International Journal of Mechanical and Production Engineering Research and Development, Vol-10, No. 1, pp. 401-414.</text>
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              <elementText elementTextId="125884">
                <text>Transstellar Journal Publications and Research Consultancy Private Limited (TJPRC)</text>
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                <text>2020-01-01</text>
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                <text>&lt;a href="https://doi.org/10.24247/ijmperdfeb202036" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.24247/ijmperdfeb202036&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079035521&amp;amp;doi=10.24247%2Fijmperdfeb202036&amp;amp;partnerID=40&amp;amp;md5=7924864ba415186b561ce89bcdc48b1e" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079035521&amp;amp;doi=10.24247%2fijmperdfeb202036&amp;amp;partnerID=40&amp;amp;md5=7924864ba415186b561ce89bcdc48b1e&lt;/a&gt;</text>
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              <elementText elementTextId="125887">
                <text>Restricted Access</text>
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                <text>ISSN: 22496890</text>
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            <name>Format</name>
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                <text>Ravikumar R., Department of Mechanical and Automobile Engineering, Faculty of Engineering, CHRIST (Deemed to be University), Bangalore, Karnataka, India; Antony A.J., Principal, Mangalore Marine College and Technology, Mangalore, Karnataka, India</text>
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          <element elementId="50">
            <name>Title</name>
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                <text>Flexible polymer composite films incorporated with Li-ion/reduced graphene oxide: excellent optical and photoluminescence performance</text>
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              <elementText elementTextId="125866">
                <text>Energy bandgap; Photoluminescence; Polystyrene sulfonic acid; Reduced graphene oxide (rGO)</text>
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                <text>A flexible polymer composite film (PL-rGO) was prepared from reduced graphene oxide (rGO) (derived from graphite) and lithium phosphate (Li3PO4) incorporated in a pale yellow colored polystyrene sulfonic acid (PSSA) polymer by solution casting method. The resulting flexible translucent PL-rGO composite films were obtained with smooth surface and thickness in the range of 23m. The optical and photoluminescence properties of PL-rGO were explored in the present study. The intensity of photoluminescence spectra at excitation band ? 320nm increases with significant broadening with varying concentration of rGO in the matrix. The evaluated direct and indirect energy bandgap of PL-rGO composite from optical absorbance is in the range of 3.06 ~ 3.26eV. These results from optical properties for PL-rGO composite indicate the accurate tailoring of the composite by changing the rGO volume fraction.  2019, King Abdulaziz City for Science and Technology.</text>
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              <elementText elementTextId="125868">
                <text>Pandey M.; Balachandran M.</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="125869">
                <text>Applied Nanoscience (Switzerland), Vol-10, No. 2, pp. 401-410.</text>
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            <name>Publisher</name>
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              <elementText elementTextId="125870">
                <text>Springer Science and Business Media Deutschland GmbH</text>
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              <elementText elementTextId="125871">
                <text>2020-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1007/s13204-019-01183-2" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/s13204-019-01183-2&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074630672&amp;amp;doi=10.1007%2Fs13204-019-01183-2&amp;amp;partnerID=40&amp;amp;md5=a82513d5a6a030b5e1bb0c0aceb6f228" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074630672&amp;amp;doi=10.1007%2fs13204-019-01183-2&amp;amp;partnerID=40&amp;amp;md5=a82513d5a6a030b5e1bb0c0aceb6f228&lt;/a&gt;</text>
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              <elementText elementTextId="125873">
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                <text>ISSN: 21905509</text>
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                <text>Pandey M., Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, 560029, Karnataka, India; Balachandran M., Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, 560029, Karnataka, India</text>
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