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                <text>The rapid digital transformation, especially on the internet, has provided businesses with unprecedented opportunities for global expansion. This shift has revolutionized marketing, replacing costly and labour-intensive efforts with cost-effective digital strategies. E-commerce platforms facilitate this process by offering an interactive interface for users to post reviews, comments, and questions, thus enhancing the decision-making experience. Understanding customer purchase intention is vital in this digital age, as it's shaped by various antecedent factors, with digital word-ofmouth (eWOM) being a significant influencer. However, the relationship between eWOM and purchase intention remains underexplored. This chapter reviews 60 previous studies, shedding light on the factors affecting online customers' purchase intentions. The study identifies research gaps, setting a clear direction for future investigations.  2024, IGI Global. All rights reserved.</text>
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                <text>Kumar S., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Sharma H., Department of Computer Science and Engineering, Rajasthan Technical University, Rajasthan, Kota, India; Balachandran K., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Kim J.H., School of Civil, Environmental and Architectural Engineering, Korea University, Seoul, South Korea; Bansal J.C., South Asian University New Delhi, Delhi, India</text>
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                <text>Lecture Notes in Networks and Systems, Vol-608, pp. v-.</text>
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                <text>Kumar S., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bengaluru, India; Sharma H., Department of Computer Science and Engineering, Rajasthan Technical University, Rajasthan, Kota, India; Balachandran K., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bengaluru, India; Kim J.H., School of Civil, Environmental and Architectural Engineering, Korea University, Seoul, South Korea; Bansal J.C., South Asian University, New Delhi, India</text>
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                <text>Brick masonry; DIC; MATLAB; Ncorr; Strain measurement</text>
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                <text>This micro-article is focused on the application of DIC in measuring strain for a 2D structural element like brick masonry specimen. Conventional techniques of strain measurements involve devices like strain gauges, LVDTs, dial gauges and extensometers. Even though Commercial DIC packages are available and have been widely used to perform DIC, these setups are quite expensive. In this study a simple DSLR camera along with Ncorr, an open source 2D MATLAB program is used to perform the DIC. Results have also been obtained experimentally by using conventional measuring devices and compared with that of DIC. The results obtained through DIC is well in agreement with that of experiments, and the difference in strain at failure was observed to be 4.7%. Furthermore, the results of this study should encourage researchers to adopt this technique in studies of behaviour and structural health monitoring of brick masonry specimens.  2019 The Authors</text>
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                <text>Kumar S.L.; Aravind H.B.; Hossiney N.</text>
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                <text>Results in Engineering, Vol-4</text>
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                <text>Three-component p-TSA catalyzed synthesis of hydrazinyl thiazole derivatives</text>
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                <text>A direct single-pot three-component procedure for synthesizing bio-active hydrazinyl thiazole derivatives has been demonstrated. The reaction involves substituted 2-Bromoacetophenones, carboxaldehydes, and thiosemicarbazide to form the hydrazinyl thiazole scaffolds via a simple condensation reaction followed by intramolecular cyclization with p-TSA as a catalyst at room temperature. The ease of product separation, lack of column chromatographic purification, and use of readily available starting materials result in an efficient approach for organic synthesis.  2023 Elsevier Ltd. All rights reserved.</text>
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                <text>Kumar S.L.; Chundattu S.J.; Govindaraju S.; Tabassum S.</text>
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                <text>Materials Today: Proceedings, Vol-100, pp. 182-187.</text>
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                <text>ISSN: 22147853</text>
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                <text>Kumar S.L., Department of Chemistry, CHRIST, Deemed to be University, Bengaluru, 570029, India; Chundattu S.J., Department of Sciences and Humanities, CHRIST, Deemed to be University, Bengaluru, 570029, India; Govindaraju S., Department of Sciences and Humanities, CHRIST, Deemed to be University, Bengaluru, 570029, India; Tabassum S., Department of Chemistry, Surana College, South End Road, Basavanagudi, Bengaluru, 560004, India</text>
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                <text>Environmentally conscious synthesis of novel pyrano[2,3-d]pyrimidines via ternary deep eutectic solvents</text>
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              <elementText elementTextId="73252">
                <text>Catalytic solvent; Deep eutectic solvents; Four-component reaction; Open-flask; Pyrano[2,3-d]pyrimidine; Sustainable synthesis</text>
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                <text>Pyrano[2,3-d]pyrimidine and its analogues have gained considerable courtesy because of their diverse biological functions and wide-ranging applications, from pharmaceutical agents to essential natural pigments. However, synthesising pyrano[2,3-d]pyrimidine with multiple reactants is challenging and requires advanced green chemistry solutions. This study investigates the generation of thirteen new pyrano[2,3-d]pyrimidine analogues through a single-step, open-flask, multicomponent reaction (MCR) strategy involving aldehydes, phenylhydrazine, ethyl acetoacetate, and barbituric acid via deep eutectic solvents (DES). These DESs serve as environmentally friendly alternatives to traditional solvents. A ternary deep eutectic solvent (TDES) was evaluated for its catalytic solvent activity among ten different formulations. TDES-7 (5 mL) demonstrated the best performance, achieving 95 % product formation within 30 min at room temperature. Its remarkable catalytic activity and ability to produce high yields across multiple reaction cycles make it a standout choice for this application. The collaboration between MCR and TDES underscores an important blend of two significant green aspects, demonstrating their potential to achieve a green and productive sustainable synthesis method with an noble E-factor of 0.1236.  2024 Elsevier B.V.</text>
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                <text>Kumar S.L.; Tabassum S.; Govindaraju S.</text>
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                <text>Journal of Molecular Liquids, Vol-417</text>
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                <text>ISSN: 1677322; CODEN: JMLID</text>
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                <text>Kumar S.L., Department of Chemistry, Christ University, Bengaluru, 560029, India; Tabassum S., Department of Chemistry, Surana College, Bengaluru, 560074, India; Govindaraju S., Department of Sciences and Humanities, Christ University, Bengaluru, 560074, India</text>
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                <text>Novel heterocyclic thiosemicarbazones derivatives as colorimetric and "turn on" fluorescent sensors for fluoride anion sensing employing hydrogen bonding</text>
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              <elementText elementTextId="139544">
                <text>Chromophoric and fluorogenic sensor; Deprotonation; Heterocyclic; Single crystal XRD; Thiosemicarbazone; UV-visible spectroscopy</text>
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                <text>(Chemical Equation Presented) Two novel heterocyclic thiosemicarbazone derivatives have been synthesized, and characterized, by means of spectroscopic and single crystal X-ray diffraction methods. Their chromophoric-fluorogenic response towards anions in competing solvent dimethyl sulfoxide (DMSO) was studied. The receptor shows selective recognition towards fluoride anion. The binding affinity of the receptors with fluoride anion was calculated using UV-visible and fluorescence spectroscopic techniques.  2013 Elsevier B.V. All rights reserved.</text>
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                <text>Kumar S.L.A.; Kumar M.S.; Sreeja P.B.; Sreekanth A.</text>
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                <text>Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy, Vol-113, pp. 123-129.</text>
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                <text>ISSN: 13861425; PubMed ID: 23714188; CODEN: SAMCA</text>
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                <text>Kumar S.L.A., Department of Chemistry, Centre of Excellence in Corrosion and Surface Engineering, National Institute of Technology - Tiruchirappalli, Tiruchirappalli 620 015, Tamil Nadu, India; Kumar M.S., Department of Chemistry, Centre of Excellence in Corrosion and Surface Engineering, National Institute of Technology - Tiruchirappalli, Tiruchirappalli 620 015, Tamil Nadu, India; Sreeja P.B., Department of Chemistry, Christ University, Bangalore 560 029, Karnataka, India; Sreekanth A., Department of Chemistry, Centre of Excellence in Corrosion and Surface Engineering, National Institute of Technology - Tiruchirappalli, Tiruchirappalli 620 015, Tamil Nadu, India</text>
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                <text>In recent years, fraud identification on Internet of Things (IoT) devices has been essential to obtaining better results in all fields, such as smart cities, smart grids, etc. As a result, there are more IoT devices in the smart grid's power management sectors, and apart from these identifications, intrusion into the smart grid is very difficult. Hence, to overcome this, a proposed intrusion detection system in a smart grid using an artificial neural network (ANN) has been used to detect the intrusion and improve the prediction rate, and it has been very effective on various faults injected into the smart grids in ranges and seasons. As per the simulation result, the proposed method shows better results as compared to a conventional neural network (CNN) with respect to the root mean square error in terms of weekly, monthly, and seasonal terms of 0.25%, 0.15%, and 0.26%, respectively.  The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.</text>
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                <text>Kumar S.M., Department of Information Science and Engineering, Bangalore Institute of Technology, Karnataka, Bengaluru, India; Velluri R., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bengaluru, India; Dayananda P., Department of Electrical and Electronics Engineering, SJB Institute of Technology, Karnataka, Bengaluru, India; Nagaraj S., Electrical and Electronics Engineering, JSS Science and Technology University, Karnataka, Mysore, India; Srikantaswamy M., Electronics and Communication Engineering, JSS Academy of Technical Education, Karnataka, Bengaluru, India; Chandrappa K.Y., Information Science Engineering, Global Academy of Technology, Karnataka, Bengaluru, India</text>
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                <text>India is rich in culture and well-known for its mythological knowledge. It has plenty of architectural marvels recognized by UNESCO and maintained by the Archaeological Survey of India (ASI). For this chapter, two of the cultural UNESCO sites, Mahabalipuram and Pattadakal, have been taken as the scope of the chapter. The introduction section talks about the history of the monuments and provides a brief overview of the tourism infrastructure. The following section, evaluation of tourism infrastructure, aims to analyze Mahabalipuram and Pattadakal's tourism infrastructure using four parameters: transportation and connectivity, accommodation, gastronomical facilities, and tourist amenities. An observational study of the sites was conducted between December 2023 and January 2024. This is followed by the recommendations provided by the authors to improve the tourism infrastructure in these sites and, finally, the chapter's conclusion and future scope for researchers.  2024, IGI Global. All rights reserved.</text>
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                <text>Kumar S.S., Christ University, India; John S., Christ University, India</text>
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                <text>Effects of dark matter on the upper bound mass of neutron stars</text>
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              <elementText elementTextId="125019">
                <text>Dark matter; Early epoch; Neutron stars; Star formation</text>
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                <text>Observations have indicated that we do not see neutron stars (NS) of mass near the theoretical upper limit as predicted. Here we invoke the role of dark matter (DM) particles in star formation, and their role in lowering the mass of remnants eventually formed from these stars. Massive stars can capture DM particles more effectively than the lower mass stars, thus further softening the equation of state of the remnant neutron stars. We also look at the capture of DM particles by the NS, which could further soften the upper mass limit of NS. The admixture of DM particles would be higher at earlier epochs (high z).  2020 Elsevier B.V.</text>
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                <text>Kumar S.S.; Kenath A.; Sivaram C.</text>
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                <text>Physics of the Dark Universe, Vol-28</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.dark.2020.100507" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.dark.2020.100507&lt;/a&gt;
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                <text>ISSN: 22126864</text>
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                <text>Kumar S.S., Dipartimento di Fisica e Astronomia Galileo Galilei, Universitdegli studi di Padova, Via Francesco Marzolo, 8, Padova PD, 35121, Italy; Kenath A., Department of Physics and Electronics, Christ (Deemed to be University), Bengaluru, 560029, Karnataka, India, Department of Physics, Christ Junior College, Bengaluru, 560029, Karnataka, India; Sivaram C., Indian Institute of Astrophysics, Bengaluru, 560034, Karnataka, India</text>
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                <text>Revisiting Cournot Duopoly Model An Experimental Study</text>
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              <elementText elementTextId="4216">
                <text>Sociology</text>
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                <text>Journal of the Institute for Research in Social Sciences and Humanities, Vol-6 (1&amp;2), pp. 151-170. ISSN-0973-3353</text>
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                <text>Kumar Santhosh &amp; Saleena N.J.</text>
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                <text>Speculative investment decisions in cryptocurrency: a structural equation modelling approach</text>
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                <text>Cryptocurrency; domain knowledge; impulsive; negative consequences; self-control; speculative investment decision; subjective norm</text>
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                <text>Cryptocurrency markets are inclined towards speculative usage due to the inherent high risk of financial loss and the potential for substantial gains during transaction completion. In response to this phenomenon, this study represents the inaugural effort to explore the influence of variables such as subjective norms, domain knowledge, impulsive investment tendencies, and self-control on decisions related to speculative investments. Utilising structural equation modelling with a dataset of 367 responses in India, the study is the first of its kind. The research reveals that subjective norms and domain knowledge play a significant role in influencing impulsive investment and self-control. Additionally, impulsive investment exhibits significant associations with decisions involving speculative investments. This insight underscores the complexity wherein individuals, despite exercising self-control, may still engage in speculative decisions that lead to adverse consequences. The findings have practical implications for investors and regulators, offering valuable insights into investment behaviours within the cryptocurrency realm.  2024 Informa UK Limited, trading as Taylor &amp;amp; Francis Group.</text>
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                <text>Kumar Sharma R., Management Department, CHRIST University, Bengaluru, India; Khan S., Indian Institute of Information Technology Allahabad, Allahabad, Jhalwa, India; Singh R., Indian Institute of Information Technology Allahabad, Allahabad, Jhalwa, India; Birari A., Management Department, CHRIST University, Bengaluru, India</text>
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                <text>The Role of Major-Sport Event Cricket with Respect to Consumer Perception and Attitude Towards Ambush Marketing</text>
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              <elementText elementTextId="3691">
                <text>Management</text>
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                <text>International Journal of Business and Management Invention, Vol-2 (10), pp. 76-81. ISSN-2319-801X</text>
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                <text>Kumar Sunita, Agawane Vijay</text>
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                <text>Can co-creating in CSR initiatives influence loyal customers? Evidence from the banking industry</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="91120">
                <text>banking sector; co-creation; consumer loyalty; CSR; exchange theory; medication effect; social identity theory</text>
              </elementText>
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                <text>Consumers are increasingly pressing organizations to adapt meaningful corporate social responsibility (CSR) initiatives and seek avenues for co-creation. Study to investigate if CSR can help co-creation significantly contributes to the competitive advantage of banks. Many previous pieces of research have recognized CSR as a strategic imperative that may help businesses to build consumer loyalty. To address gaps in the literature based on the social identity theory and theory of social exchange, this article investigates the impact of CSR on consumer loyalty while considering the mediation effect of co-creation. The data were collected in India, and the sample contained 520 customers of banks. Partial least squares-structural equation modeling was used to test the hypothesis. The study findings show that CSR, directly and indirectly, impacts consumer loyalty through co-creation. The current study's findings aid banking institutions in determining how to design and implement strategies based on CSR and co-creation that could eventually result in consumer loyalty.  2023 ERP Environment and John Wiley &amp;amp; Sons Ltd.</text>
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              <elementText elementTextId="91122">
                <text>Kumar T.P.; Basavaraj S.; Soundarapandiyan K.</text>
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                <text>Corporate Social Responsibility and Environmental Management, Vol-31, No. 1, pp. 180-195.</text>
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              <elementText elementTextId="91124">
                <text>John Wiley and Sons Ltd</text>
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                <text>&lt;a href="https://doi.org/10.1002/csr.2561" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1002/csr.2561&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164716572&amp;amp;doi=10.1002%2Fcsr.2561&amp;amp;partnerID=40&amp;amp;md5=3606e78bc92cd475602d7fe67b67c038" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164716572&amp;amp;doi=10.1002%2fcsr.2561&amp;amp;partnerID=40&amp;amp;md5=3606e78bc92cd475602d7fe67b67c038&lt;/a&gt;</text>
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              <elementText elementTextId="91127">
                <text>Restricted Access</text>
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              <elementText elementTextId="91128">
                <text>ISSN: 15353958</text>
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                <text>Kumar T.P., School of Business and Management, Christ (Deemed to be University), Bangalore, India; Basavaraj S., School of Business and Management, Christ (Deemed to be University), Bangalore, India; Soundarapandiyan K., Department of Commerce, B S Abdur Rahman Crescent Institute of Science &amp;amp;Technology, Chennai, India</text>
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                <text>Does perceived corporate social responsibility improve customer engagement? - An empirical evidence from Indian banks</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="88179">
                <text>corporate social responsibility; CSR; customer engagement; discrimination; relationship</text>
              </elementText>
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                <text>In recent years, banks are trying to embed their corporate social responsibility (CSR) and societal outreach initiatives into their strategic process to improve their competitive advantage and performance. A previous study reveals that CSR initiatives and efforts of the banks will likely to positively influence the customers attitudes toward that bank and generate favourable behavioural outcomes. This study will provide a deeper investigation of whether the perceived CSR discriminate against the customer engagement level in the bank. This paper attempts to measure the discriminating power of CSR towards customer engagement. Maignan and Ferrells (2004) scale was used to ascertain the corporate social responsibility, and for measuring customer engagement, the Gallop scale (2001) was used. Primary data was collected through a simple random sampling technique from 612 customers across different banks. The discriminant analysis was carried out to find out the discriminating power of CSR towards customer engagement. Discriminating function model results exactly predicting customer engagement level based on the CSR initiatives. The findings are supportive and helpful for the banks in formulating effective CRM Strategy to satisfy and engage their customer at a high level through effectively articulated CSR plans and policies.  2024 Inderscience Publishers. All rights reserved.</text>
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              <elementText elementTextId="88181">
                <text>Kumar T.P.; Priyadarsini M.K.; Soundarapandiyan K.</text>
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              <elementText elementTextId="88182">
                <text>International Journal of Public Sector Performance Management, Vol-13, No. 3, pp. 350-368.</text>
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                <text>Inderscience Publishers</text>
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                <text>2024-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1504/IJPSPM.2024.138039" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1504/IJPSPM.2024.138039&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191093273&amp;amp;doi=10.1504%2FIJPSPM.2024.138039&amp;amp;partnerID=40&amp;amp;md5=d142404647ab23ffe08cb03751587bbb" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191093273&amp;amp;doi=10.1504%2fIJPSPM.2024.138039&amp;amp;partnerID=40&amp;amp;md5=d142404647ab23ffe08cb03751587bbb&lt;/a&gt;</text>
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                <text>ISSN: 17411041</text>
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                <text>Kumar T.P., School of Business and Management, CHRIST (Deemed to be University), Bengaluru, India; Priyadarsini M.K., PSG Institute of Management, Coimbatore, India; Soundarapandiyan K., Department of Commerce, B S Abdur Rahman Crescent Institute of Science and Technology, Chennai, Vandalur, 48, India</text>
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                <text>HHO-Based Vector Quantization Technique for Biomedical Image Compression in Cloud Computing</text>
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                <text>In the present digital era, the exploitation of medical technologies and massive generation of medical data using different imaging modalities, adequate storage, management, and transmission of biomedical images necessitate image compression techniques. Vector quantization (VQ) is an effective image compression approach, and the widely employed VQ technique is Linde-Buzo-Gray (LBG), which generates local optimum codebooks for image compression. The codebook construction is treated as an optimization issue solved with utilization of metaheuristic optimization techniques. In this view, this paper designs an effective biomedical image compression technique in the cloud computing (CC) environment using Harris Hawks Optimization (HHO)-based LBG techniques. The HHO-LBG algorithm achieves a smooth transition among exploration as well as exploitation. To investigate the better performance of the HHO-LBG technique, an extensive set of simulations was carried out on benchmark biomedical images. The proposed HHO-LBG technique has accomplished promising results in terms of compression performance and reconstructed image quality.   2023 World Scientific Publishing Company.</text>
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                <text>International Journal of Image and Graphics, Vol-23, No. 3</text>
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                <text>ISSN: 2194678</text>
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                <text>Kumar T.S., Department of CSE, BMS Institute of Technology and Management, Bengaluru, India; Jothilakshmi S., The American College, Madurai, India; James B.C., Angeles University Foundation, Angeles City, Philippines; Prakash M., Data Science and Analytics Center, Karpagam College of Engineering, Coimbatore, India; Arulkumar N., Department of CS, CHRIST (Deemed to Be University), Banglore, India; Rekha C., Department of IT, Sri Sai Ram Institute of Technology, Chennai, India</text>
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                <text>Extensive long-term verbal memory training is associated with brain plasticity</text>
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                <text>The human brain has a remarkable capacity to store a lifetime of information through visual or auditory routes. It excels and exceeds any artificial memory system in mixing and integrating multiple pieces of information encoded. In this study, a group of verbal memory experts was evaluated by multiple structural brain analysis methods to record the changes in the brain structure. The participants were professional Hindu pandits (priests/scholars) trained in reciting Vedas and other forms of Hindu scriptures. These professional Vedic priests are experts in memorization and recitation of oral texts with precise diction. Vedas are a collection of hymns. It is estimated that there are more than 20,000 mantras and shlokas in the four Vedas. The analysis included the measurement of the grey and white matter density, gyrification, and cortical thickness in a group of Vedic pandits and comparing these measures with a matched control group. The results revealed an increased grey matter (GM) and white matter (WM) in the midbrain, pons, thalamus, parahippocampus, and orbitofrontal regions in pandits. The whole-brain corelation analysis using length ofpost-training teachingduration showed significant correlation with the left angular gyrus. We also found increased gyrification in the insula, supplementary motor area, medial frontal areas, and increased cortical thickness (CT) in the right temporal pole and caudate regions of the brain. These findings, collectively, provide unique information regarding the association between crucial memory regions in the brain and long-term practice of oral recitation of scriptures from memory with the proper diction that also involved controlled breathing.  2021, The Author(s).</text>
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                <text>Kumar U.; Singh A.; Paddakanya P.</text>
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                <text>Scientific Reports, Vol-11, No. 1</text>
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              <elementText elementTextId="115845">
                <text>All Open Access; Gold Open Access; Green Open Access</text>
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                <text>ISSN: 20452322; PubMed ID: 33958676</text>
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                <text>Kumar U., Centre of Bio-Medical Research, Sanjay Gandhi Postgraduate Institute of Medical Sciences Campus, Lucknow, 226014, Uttar Pradesh, India; Singh A., Centre of Bio-Medical Research, Sanjay Gandhi Postgraduate Institute of Medical Sciences Campus, Lucknow, 226014, Uttar Pradesh, India; Paddakanya P., Department of Psychology, Christ University, Bengaluru, India</text>
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          <element elementId="50">
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            <description>A name given to the resource</description>
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              <elementText elementTextId="91563">
                <text>Potential of banana based cellulose materials for advanced applications: A review on properties and technical challenges</text>
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          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="91564">
                <text>Banana derived nanomaterials; Biopolymer; Medical applications; Nanocellulose</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="91565">
                <text>Biocompatibility, biodegradability, and toxicity issues of synthetic polymers have propelled the search for environmentally friendly and non-toxic alternatives. In this context, biobased materials have gained much popularity due to their non-toxic, biodegradable, and sustainable nature. Bananas are considered as one of such natural material which fulfil the requirements to be tailored as a biocompatible biopolymer. Banana derived wastes can be used for extraction of commercially important biopolymers like starch, cellulose, nanocellulose and their subsequent utilization in wide variety of applications. Banana derived biopolymers and their bio composites and widely used for medical applications such as wound healing, fabrication of bone plates, cellulose based gate dielectrics, and capacitors for insulin pumps, and pacemakers. In addition, banana based nanocellulose can be used in tissue engineering, biosensing, drug delivery, bioimaging, wound healing, enzyme immobilization and preparation of tablets for oral administration. Moreover, banana-based polymers can be employed in applications such as food packaging, biofuel production, and production of multilayered papers. Considering the potential applications of banana-based nanomaterials, this review work is framed to understand the process of extraction of starch, cellulose, nanocellulose and biopolymers from banana derived wastes with specific emphasis on their extraction methods and composite preparation methods. In addition, it discusses in detail the promising and potential applications of the derived materials in health and environmental sectors. The presented review is a comprehensive discussion on banana-based waste conversion strategies to produce value added products useful in medical and environmental applications. 2023 The Author(s)</text>
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              <elementText elementTextId="91566">
                <text>Kumar V.; Chakraborty P.; Janghu P.; Umesh M.; Sarojini S.; Pasrija R.; Kaur K.; Lakkaboyana S.K.; Sugumar V.; Nandhagopal M.; Sivalingam A.M.</text>
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            <elementTextContainer>
              <elementText elementTextId="91567">
                <text>Carbohydrate Polymer Technologies and Applications, Vol-6</text>
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            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="91568">
                <text>Elsevier Ltd</text>
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                <text>2023-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.carpta.2023.100366" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.carpta.2023.100366&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173933501&amp;amp;doi=10.1016%2Fj.carpta.2023.100366&amp;amp;partnerID=40&amp;amp;md5=422a9758774b05057c2a98d46bbda59f" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173933501&amp;amp;doi=10.1016%2fj.carpta.2023.100366&amp;amp;partnerID=40&amp;amp;md5=422a9758774b05057c2a98d46bbda59f&lt;/a&gt;</text>
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            <elementTextContainer>
              <elementText elementTextId="91571">
                <text>All Open Access; Gold Open Access</text>
              </elementText>
            </elementTextContainer>
          </element>
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                <text>ISSN: 26668939 | LS; 2023-2024; Vol-2; 0205</text>
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                <text>English</text>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Kumar V., Bioconversion and Tissue Engineering Laboratory, Department of Community Medicine, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Thandalam, Chennai, 602105, India; Chakraborty P., School of Allied Healthcare and Sciences, Jain (Deemed to be) University, Whitefield, Karnataka, Bangalore, 66, India; Janghu P., Department of Biochemistry, Maharshi Dayanand University, Haryana, Rohtak, India; Umesh M., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Sarojini S., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Pasrija R., Department of Biochemistry, Maharshi Dayanand University, Haryana, Rohtak, India; Kaur K., Punjab Agricultural University, Institute of Agriculture, Punjab, Gurdaspur, 143521, India; Lakkaboyana S.K., Department of Chemistry, Vel Tech Rangarajan Dr. Sagunthala R&amp;amp;D Institute of Science and 17 Technology, Chennai, Avadi, 600062, India, Department of Anatomy, Biomedical Research Unit and Lab Animal Centre, Saveetha Dental 19 College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Tamilnadu, Chennai, India; Sugumar V., Department of Biochemistry, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Thandalam, Chennai, 602105, India; Nandhagopal M., Department of Microbiology, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Thandalam, Chennai, 602105, India; Sivalingam A.M., Natural Products &amp;amp; Nanobiotechnology Research Laboratory, Department of Community Medicine, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Thandalam, Chennai, 602105, India</text>
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                <text>BERT Embeddings; Lexicon-Based Sentiment Analysis; Natural Language Processing (NLP); Sentiment Analysis in Many Different Languages</text>
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                <text>Social media platforms serve as vital connections for communication, generating massive quantities of data that represent an array of perspectives. Efficient sentiment analysis is necessary for understanding public opinion, particularly in domains such as product reviews and socio-political discussion. This paper develops a novel sentiment analysis model that is customized for social media data by integrating machine learning algorithms, language processing techniques with part-of-speech tagging, and dimensionality reduction methods. The model will improve sentiment analysis performance by tackling challenges like noise and data domain variations. To further improve sentiment representation, it includes convolutional neural networks (CNNs), BERT embeddings, N-grams, and sentiment lexicons. The model's effectiveness is determined on a variety of datasets, which enhances sentiment analysis in social media discussion. This paper goes beyond sentiment analysis in code-mixed, multilingual text and highlights the importance of careful data before treatment and an extensive variety of ML algorithms. This study attempts to explain the nuances of sentiment analysis and its use in social media discussions through methodical research.   2024 IEEE.</text>
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