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                <text>Progression of Metamaterial for Microstrip Antenna Applications: A Review</text>
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                <text>This article provides an overview of the evolution of metamaterials (MTM) and all the aspects related to metamaterial development for antenna applications. It will be a useful collection of information for antenna researchers working in metamaterials applications. It gives an insight into the various metamaterial structures utilized along with miniature antenna designs. Different types of design parameters studied by the previous researchers are showcased to understand better perception of the metamaterial usage.  2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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                <text>Panicker R.; Suganthi S.</text>
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                <text>Smart Innovation, Systems and Technologies, Vol-289, pp. 193-201.</text>
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                <text>Panicker R., Christ University, Bangalore, India; Suganthi S., RF &amp;amp; Microwave Research Laboratory, Electronics, and Communication Engineering, Christ University, Bangalore, India</text>
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                <text>Distillation, the major process in crude oil refineries as of now. In this work we focused the attention to energy saving with respect to an industrial crude oil distillation unit. An alternative to the conventional crude oil distillation model present in the Bharat Petroleum Corporation, Kochi Refinery is proposed and simulated. The theoretical predictions as well as the simulated results indicate that the Progressive crude oil distillation reduces the utility burden as well as increase the extraction of more valuable light components. The simulation was carried out using Aspen HYSYS V8.8.2. Different crudes are taken into account and their properties and amount of distillate are analyzed. The optimization is done in an easy manner rather than the conventional mathematical method, together with the advanced process control tools; make it profitable in the operation in real time.  2018 Elsevier Ltd</text>
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                <text>Nalinakshan S.; Sivasubramanian V.; Ravi V.; Vasudevan A.; Sankar M.S.R.; Arunachalam K.</text>
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                <text>Fuel, Vol-239, pp. 1331-1337.</text>
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                <text>Nalinakshan S., Department of Electrical &amp;amp; Electronics Engineering, The National Institute of Engineering, Manandavadi Road, Mysuru, 570008, Karnataka, India; Sivasubramanian V., Department of Chemical Engineering, National Institute of Technology, Calicut, 673601, Kerala, India; Ravi V., Department of Chemical Engineering, National Institute of Technology, Calicut, 673601, Kerala, India; Vasudevan A., Department of Electronics &amp;amp; Communication Engineering, Christ Deemed to be University, Kengeri, Bangalore, 560074, Karnataka, India; Sankar M.S.R., Department of Chemical Engineering, National Institute of Technology, Calicut, 673601, Kerala, India; Arunachalam K., Process Optimization, BPCL Kochi Refinery, Ernakulam, 682302, Kerala, India</text>
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                <text>Progressive loss-aware fine-tuning stepwise learning with GAN augmentation for rice plant disease detection</text>
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                <text>Modern technology like Artificial Intelligence (AI) must be used in the agricultural sectorif sustainable agricultural output is to be achieved. One of the most convenient strategies for resolving current and future issues is data-driven agriculture. For this, disease prediction is a major task for precise farming. For predictive analysis and precise agriculture monitoring systems, with the application of AI, Machine Learning (ML) and Deep Learning (DL) play vital roles in building a more robust system. In this work, we will design a DL-integrated rice disease prediction system to be implemented for precise farming. Improvisation of the developed model to detect rice plant diseases &amp;amp; pest attacks with a high level of precision. In this work, the Progressive Loss-Aware Fine-Tuning Stepwise Learning (PLAFTSL) model is proposed for disease detection. For step-wise learning fine-tuned ResNet50 model is used with the introduction of freezing and unfreezing layers. This reduces the training parameters and thus computational complexity. The introduction of the step-wise and progressive loss-aware layer will result in fast convergence and improved training efficiency during information exchange among layers respectively. Our proposed work uses a dataset from two sources. The result analysis is presented with an ablation study. Additionally, the baseline model, ResNet50, is used to display the outcomes of the ablation. The results demonstrate that the fine-tuned model results in better performance as compared to the transfer learning model. The Conditional Generative Adversarial Network (cGAN) augmentation is also added to the designed model which will improve detection effectiveness and can also manage the imbalance in input data. The model has achieved approx. 98% accuracy and outperforms better with comparative state-of-art models.  The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.</text>
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                <text>Upreti K.; Singh P.; Jain D.; Pandey A.K.; Gupta A.; Singh H.R.; Srivastava S.K.; Prasad J.S.</text>
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                <text>Multimedia Tools and Applications, Vol-83, No. 37, pp. 84565-84588.</text>
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                <text>&lt;a href="https://doi.org/10.1007/s11042-024-19255-z" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/s11042-024-19255-z&lt;/a&gt;
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                <text>Upreti K., CHRIST(Deemed to be University), Delhi NCR Campus, Delhi, India; Singh P., JSS Academy of Technical Education, Noida, India; Jain D., ABES Engineering College, Ghaziabad, India; Pandey A.K., ABES Engineering College, Ghaziabad, India; Gupta A., Department of CSE (AI &amp;amp; amp; ML), PIET Engineering College Samalkha, Haryana, India; Singh H.R., Greater Noida Institute of Technology, Greater Noida, India; Srivastava S.K., Department of Applied Computational Science &amp;amp; amp; Engineering, GL BAJAJ Institute of Technology &amp;amp; amp; Management, Greater Noida, India; Prasad J.S., Greater Noida Institute of Technology, Greater Noida, India</text>
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                <text>Cancer prognosis prediction improves the quality of treatment and increases the survivability of the patients. Conventional methods of cancer prediction deal with single class by limiting the prognosis prediction to one response variable. The SEER Public Use cancer database has more prominent variables that support better prediction approach. The objective of this paper is to find the prominent labels from cancer databases and use them in a multi-class environment. The implementation consist of three phases namely, pre-processing, prominent label identification and multi-label classification. Breast, Colorectal and Respiratory Cancer Data sets have been used for the experimentation. Also random samples from all three data sets are generated to form a mixed cancer data. Patient survival, number of primaries and age at diagnosis are the prominent labels identified from others using the Decision tree, Nae Bayes and KNN algorithms. The three prominent labels have been tested using multi-label RAkEL algorithm to find the relations between them. The results of the empirical study are comparatively better than the traditional way of cancer prediction.  2012 IEEE.</text>
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                <text>Saleema J.S., Dept. of Comp.Sc., Christ University, Bangalore, India; Sairam B., Venugopal K R Dept. of CSE, University Visvesvaraya, College of Engineering, Bangalore, India; Naveen S.D., Venugopal K R Dept. of CSE, University Visvesvaraya, College of Engineering, Bangalore, India; Yuvaraj K., Venugopal K R Dept. of CSE, University Visvesvaraya, College of Engineering, Bangalore, India; Shenoy P.D., Venugopal K R Dept. of CSE, University Visvesvaraya, College of Engineering, Bangalore, India; Patnaik L.M., IISc, Bangalore, India</text>
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                <text>Entrepreneurship education is one of the most influential forces in the growth and development of an economy. It diminishes the twin issues of unemployment and poverty through entrepreneurship creation. The paradigm shift of student focus on job-oriented programme to job-creating programmes such as Management in Entrepreneurship, Diploma in Entrepreneurship and other training programmes raised the scope of entrepreneurship. Based on a comprehensive review of the relevant literature, this paper suggests that the pedagogical tools employed in entrepreneurship education such as role modelling, hands-on experience, incubation and mentoring support can be effectively used for developing entrepreneurial intentions among the students in higher educational institutions. The paper discusses few propositions developed based on the literature review and proposes a model which can be adopted by higher educational institutions for increasing entrepreneurial intention and thereby entrepreneurship.  Springer Nature Singapore Pte Ltd. 2017. All rights are reserved.</text>
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                <text>Entrepreneurship Education: Experiments with Curriculum, Pedagogy and Target Groups, pp. 247-265.</text>
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                <text>Promoting Net-Zero Economy for Sustainable Development: Practice-Based View</text>
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                <text>Carbon neutrality; Environmental consideration; Net zero; Resource; Responsible business conduct; Sustainability</text>
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                <text>The present research investigates the utilization of various resources, including tangible assets, human expertise, and intangible assets, in a cohesive set of established procedures, which impact the development and implementation of net-zero practices. It also explores the effect on the environmental performance of SME enterprises operating in business markets. Additionally, the study explores whether digitalization plays a moderating role in this relationship. The samples of 291 were used in the study. Data were analyzed using partial least square structural equation modeling. For a sustainable net-zero economy (SNZE), it is essential for managers to acknowledge the importance of resource and capabilities management. While the management of tangible assets and human skills is vital, greater emphasis should be placed on intangible resources like organizational culture and learning. Furthermore, the capacity of small-sized enterprises (SMEs) to process and implement knowledge could prove to be instrumental in accomplishing net-zero targets. Consequently, managers should leverage Industry-4.0-based technological solutions to enhance resource and capabilities management effectively. This research pioneers an exploration into the influence of human capital and various assets (tangible and intangible), on the development and implementation of a SNZE in organizations, underpinned by empirical data. The study broadens the understanding of the practice-based view (PBV) framework in realizing SNZE, particularly within SME B2B enterprises.  The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.</text>
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                <text>Sharma A.; Chaudhary M.; Kumar K.; Daga S.</text>
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                <text>Sharma A., Christ University, Bengaluru, India; Chaudhary M., College of Business and Law, Royal University of Women, Riffa, Bahrain; Kumar K., Christ University, Bengaluru, India; Daga S., PGDAV College, University of Delhi, Delhi, India</text>
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                <text>Promoting photocatalytic hydrogen evolution rates in layered graphitic carbon nitride through integrated non-noble CoB co-catalyst</text>
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              <elementText elementTextId="82147">
                <text>Graphitic carbon nitride; Hydrogen evolution reaction; Non-noble co-catalyst; Photocatalysis; Transition-metal boride</text>
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                <text>Despite being one of the most widely studied metal-free semiconductors, graphitic carbon-nitride (gC3N4) shows meaningful photocatalytic activities only when loaded with noble-metal co-catalysts. The present work reports an alternative to noble metals in the form of cobalt boride (CoB) co-catalyst that can be easily integrated within the gC3N4 framework with facile fabrication strategies. The optimized CoB-gC3N4 composite showed ?60 times higher hydrogen generation rate compared to bare gC3N4 nanosheets, with good stability. Detailed morphological, structural, chemical, electrochemical and spectroscopic investigations revealed the key aspects of CoB-gC3N4 composite that unanimously led to higher photocatalytic activity. Computational investigations not only corroborated the experimental results but also established that the surface Co and B sites in CoB provided the most energetically favoured sites for hydrogen evolution reaction. Based on the experimental and computational investigations, a generic reaction mechanism was formulated that will prove as a guiding light for future studies on similar photocatalytic systems.  2024 The Authors</text>
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                <text>Gupta S.; Prapaitrakool C.; Bhagat B.R.; Yeh C.-L.; Dashora A.; Sirisuk A.; Patel N.; Daneu N.; Kocjan A.; Spreitzer M.; Wu J.C.S.; Krmanc M.M.</text>
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                <text>International Journal of Hydrogen Energy, Vol-60, pp. 1288-1298.</text>
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                <text>Gupta S., Advanced Materials Department, Joef Stefan Institute, Jamova 39, Ljubljana, 1000, Slovenia; Prapaitrakool C., Department of Chemical Engineering, National Taiwan University, Taipei, 10617, Taiwan, Center of Excellence on Catalysis and Catalytic Reaction Engineering and Bio-Circular-Green-economy Technology &amp;amp; Engineering Center, Department of Chemical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, 10330, Thailand; Bhagat B.R., Physics Department, Faculty of Science, The M.S. University of Baroda, Vadodara, 390002, India; Yeh C.-L., Department of Chemical Engineering, National Taiwan University, Taipei, 10617, Taiwan; Dashora A., Physics Department, Faculty of Science, The M.S. University of Baroda, Vadodara, 390002, India; Sirisuk A., Center of Excellence on Catalysis and Catalytic Reaction Engineering and Bio-Circular-Green-economy Technology &amp;amp; Engineering Center, Department of Chemical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, 10330, Thailand; Patel N., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India; Daneu N., Advanced Materials Department, Joef Stefan Institute, Jamova 39, Ljubljana, 1000, Slovenia; Kocjan A., Department for Nanostructured Materials, Joef Stefan Institute, Ljubljana, Slovenia; Spreitzer M., Advanced Materials Department, Joef Stefan Institute, Jamova 39, Ljubljana, 1000, Slovenia; Wu J.C.S., Department of Chemical Engineering, National Taiwan University, Taipei, 10617, Taiwan; Krmanc M.M., Advanced Materials Department, Joef Stefan Institute, Jamova 39, Ljubljana, 1000, Slovenia</text>
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                <text>The current study aims to explore if effective corporate social responsibility leads to corporate sustainability in medium-sized manufacturing enterprises. Using the factors, an exploratory examination was performed to assess their suitability in Indian context, and data were collected from 121 manufacturing companies using structured questionnaire based on pretested scale, and the proposed relationships were tested through partial least square structural equation modelling (PLS-SEM). The results show overall model fit and empirical examinations support causal relationships between effective corporate social responsibility and corporate sustainability (CS). The results indicated that effective CSR mediated the relationships between corporate sustainability and integration of CSR into corporate policy and priority of the board towards CSR. The results of this study are useful for medium-sized enterprises to establish a formal approach towards CSR and meet the needs of business and society in the 21st century. Copyright  2022, IGI Global.</text>
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                <text>Dawar G.; Singh S.</text>
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                <text>Dawar G., Christ University (Deemed), Delhi, India, Delhi Technological University, India; Singh S., Delhi Technological University, India</text>
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                  <text>MPHIL</text>
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                <text>PROMOTION OF VIRTUAL TOURISM THROUGH GOOGLE ART PROJECTS</text>
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            <name>Creator</name>
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                <text> Bararia Khushboo</text>
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            <name>Date</name>
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                <text>Virtual tourism is known to evoke experiences of moving through 3D space.  It is also known that several virtual projects have been useful for various purposes. Google is a hub for several applications, projects and internet based features. One of them is the Google  Art  Project,  established  by  Google  in  February,  2011. Although there has been research on several topics related to virtual tourism, there is still a gap when it comes to awareness created about Art Museums through Google, which has come about very recently.  This study aims n o t  o n l y  at filling this  gap but also understand the impact that this art project has created among its audiences. The research is an effort to understand how Google has promoted virtual tourism as well as art and if it has taken an effect into reality. This study will help recognize the dynamics and dimensions of the medium better. It is an attempt to understand if the project can transform the computer-arbitrated communication through Google Art Project. Another objective of the study is to find out people??s perception of the art pieces being as reliable as that, which is there in real time. The method employed to obtain findings is by means of survey, using questionnaire. The study establishes a relationship between those who are associated with art and paintings and those who are inspired to take a real-time tour. The findings of the survey have been interesting, where respondents preferred to take a real time tour after visiting the online version of the museum.</text>
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                <text>Propensity Score Matching and a Difference in Difference Approach to Assess ESGs Influence on Indian Acquirer Performance</text>
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          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="87830">
                <text>Difference-in-differences Method; ESG Score; Mergers and acquisitions; Propensity score matching</text>
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                <text>This research involves an in-depth analysis of the intricate relationship between Environmental, Social, and Governance scores and the financial and operational performance of Indian acquirers. The research methodology employed herein entails a meticulously crafted design, incorporating a blend of the Propensity Score Matching and Difference-in-Differences model. This strategic amalgamation serves to rigorously assess the impact of ESG factors on the performance outcomes of Indian acquirers involved in M&amp;amp;As. The empirical findings of this study reveal a robust and statistically significant correlation between M&amp;amp;A endeavours and ESG considerations. Notably, the research discerns that M&amp;amp;A activities tend to exert an adverse influence on ESG performance metrics within the Indian corporate landscape. This nuanced insight underscores the multifaceted interplay between strategic corporate actions and the broader sustainability and governance landscape, thereby offering valuable implications for scholars and practitioners in finance and corporate strategy.  2024, University of Wollongong. All rights reserved.</text>
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                <text>Neethu T.C.; Arun T.C.</text>
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                <text>Australasian Accounting, Business and Finance Journal, Vol-18, No. 3 Special Issue, pp. 102-124.</text>
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                <text>University of Wollongong</text>
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            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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                <text>2024-01-01</text>
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                <text>&lt;a href="https://doi.org/10.14453/aabfj.v18i3.07" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.14453/aabfj.v18i3.07&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85194476250&amp;amp;doi=10.14453%2Faabfj.v18i3.07&amp;amp;partnerID=40&amp;amp;md5=410fb78b85eb898c29f5b0ae92f8a6ce" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85194476250&amp;amp;doi=10.14453%2faabfj.v18i3.07&amp;amp;partnerID=40&amp;amp;md5=410fb78b85eb898c29f5b0ae92f8a6ce&lt;/a&gt;</text>
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            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="87837">
                <text>All Open Access; Gold Open Access</text>
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                <text>ISSN: 18342000</text>
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                <text>Neethu T.C., Department of Finance, GITAM School of Business, Hyderabad, GITAM Deemed to be University, Hyderabad, India; Arun T.C., School of Business and Management, CHRIST Deemed to be University, Central Campus, Bangalore, India</text>
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                <text>Properties and Occurrence Rates for Kepler Exoplanet Candidates as a Function of Host Star Metallicity from the DR25 Catalog</text>
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              <elementText elementTextId="133265">
                <text>methods: statistical; planets and satellites: formation; planets and satellites: general; stars: Abundances; stars: fundamental parameters</text>
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                <text>Correlations between the occurrence rate of exoplanets and their host star properties provide important clues about the planet formation process. We studied the dependence of the observed properties of exoplanets (radius, mass, and orbital period) as a function of their host star metallicity. We analyzed the planetary radii and orbital periods of over 2800 Kepler candidates from the latest Kepler data release, DR25 (Q1-Q17), with revised planetary radii based on Gaia DR2 as a function of host star metallicity (from the Q1-Q17 (DR25) stellar and planet catalog). With a much larger sample and improved radius measurements, we are able to reconfirm previous results in the literature. We show that the average metallicity of the host star increases as the radius of the planet increases. We demonstrate this by first calculating the average host star metallicity for different radius bins and then supplementing these results by calculating the occurrence rate as a function of planetary radius and host star metallicity. We find a similar trend between host star metallicity and planet mass: the average host star metallicity increases with increasing planet mass. This trend, however, reverses for masses &amp;gt;4.0 M J: host star metallicity drops with increasing planetary mass. We further examined the correlation between the host star metallicity and the orbital period of the planet. We find that for planets with orbital periods less than 10 days, the average metallicity of the host star is higher than that for planets with periods greater than 10 days.  2018. The American Astronomical Society. All rights reserved.</text>
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                <text>Narang M.; Manoj P.; Furlan E.; Mordasini C.; Henning T.; Mathew B.; Banyal R.K.; Sivarani T.</text>
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                <text>Astronomical Journal, Vol-156, No. 5</text>
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            <elementTextContainer>
              <elementText elementTextId="133272">
                <text>All Open Access; Bronze Open Access; Green Open Access</text>
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            </elementTextContainer>
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                <text>ISSN: 46256</text>
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              <elementText elementTextId="133275">
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                <text>Narang M., Department of Astronomy and Astrophysics, Tata Institute of Fundamental Research, Homi Bhabha Road, Colaba, Mumbai, 400005, India; Manoj P., Department of Astronomy and Astrophysics, Tata Institute of Fundamental Research, Homi Bhabha Road, Colaba, Mumbai, 400005, India; Furlan E., IPAC, Caltech, Mail Code 314-6, 1200 E. California Blvd., Pasadena, 91125, CA, United States; Mordasini C., Physikalisches Institut, Universitat Bern, Gesellschaftstrasse 6, Bern, 3012, Switzerland; Henning T., Department of Astronomy and Astrophysics, Tata Institute of Fundamental Research, Homi Bhabha Road, Colaba, Mumbai, 400005, India, Max-Planck-Institut f Astronomie, Kigstuhl 17, Heidelberg, D-69117, Germany; Mathew B., Department of Physics, Christ University, Hosur Road, Bangalore, 560029, India; Banyal R.K., Indian Institute of Astrophysics, Bangalore, 560034, India; Sivarani T., Indian Institute of Astrophysics, Bangalore, 560034, 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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                <text>Properties of alkali-activated concrete (AAC) incorporating demolished building waste (DBW) as aggregates</text>
              </elementText>
            </elementTextContainer>
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            <name>Subject</name>
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                <text>Alkali-activated; concrete; demolished building waste; durability; strength</text>
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            <description>An account of the resource</description>
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                <text>This study was undertaken to evaluate the potential of demolished building waste (DBW) as aggregates in alkali-activated concrete (AAC). A recent road-widening activity led to the demolition of commercial buildings along National Highway 275, Bangalore-Bantwal, India. DBW was collected from these sites and processed manually at the laboratory facility of CHRIST (Deemed to be University). Processing of DBW was done to obtain both waste coarse and fine aggregates from demolished concrete and brick waste units, respectively. AAC was synthesized by fly ash, ground granulated blast furnace slag, sodium hydroxide, sodium silicate, along with waste aggregate replacement rates of 0, 25, 50, and 75% by weight of natural aggregates. Fresh and hardened properties of developed concrete mixtures were experimentally determined. Results of the study indicate that 28-day compressive strength of 30.4 and 21 MPa was obtained for AAC with 25 and 50% DBW aggregates, which was 8.6 and 36.9% lower than control mix, respectively. Further, there was an increase in the water absorption and a reduction to acid resistance for all the AAC mixes with DBW aggregates. Based on the results obtained, it was observed that AAC with 25 and 50% DBW aggregates find great potential in civil engineering applications.  2021 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license.</text>
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              <elementText elementTextId="121858">
                <text>Pyngrope M.; Hossiney N.; Chen Y.; Thejas H.K.; Sarath C.K.; Alex J.; Lakshmish Kumar S.</text>
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              <elementText elementTextId="121859">
                <text>Cogent Engineering, Vol-8, No. 1</text>
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            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="121860">
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            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="121862">
                <text>&lt;a href="https://doi.org/10.1080/23311916.2020.1870791" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1080/23311916.2020.1870791&lt;/a&gt;
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="121863">
                <text>All Open Access; Gold Open Access</text>
              </elementText>
            </elementTextContainer>
          </element>
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            <description>A related resource</description>
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                <text>ISSN: 23311916</text>
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            <description>The file format, physical medium, or dimensions of the resource</description>
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              <elementText elementTextId="121866">
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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="121868">
                <text>Pyngrope M., Department of Civil Engineering, CHRIST (Deemed to Be University), Bangalore, 560074, India; Hossiney N., Department of Civil Engineering, CHRIST (Deemed to Be University), Bangalore, 560074, India; Chen Y., School of Highway, Changan University, Middle Section of NanErhuan Road, Xian, 710064, China; Thejas H.K., School of Highway, Changan University, Middle Section of NanErhuan Road, Xian, 710064, China; Sarath C.K., Department of Civil Engineering, CHRIST (Deemed to Be University), Bangalore, 560074, India; Alex J., Department of Civil Engineering, CHRIST (Deemed to Be University), Bangalore, 560074, India; Lakshmish Kumar S., Department of Civil Engineering, CHRIST (Deemed to Be University), Bangalore, 560074, India</text>
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  <item itemId="16065" public="1" featured="0">
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          <name>Dublin Core</name>
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            <element elementId="50">
              <name>Title</name>
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              <elementTextContainer>
                <elementText elementTextId="64">
                  <text>Articles</text>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="121605">
                <text>Properties of high strength concrete with reduced amount of Portland cement a case study</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="121606">
                <text>concrete; durability; GGBS; Portland cement; Strength</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="121607">
                <text>In the last 15years Bangalore city has systematically modernized its concrete production process with the help of ready-mix concrete (RMC) facility. However, one of the present requirements of these facilities is to lower its carbon footprint by reducing consumption of Portland cement in the concrete production process. Further, the demand for high-strength concrete (HSC) has increased due to construction of high-rise buildings and other major infrastructure projects in the urban areas of the city. Therefore, this study presents the experimental test results of HSC mixes proportioned with reduced consumption of Portland cement. Four types of concrete mixes with 50% of Portland cement replaced by ground granulated blast furnace slag (GGBS) were considered. Additionally, two control mixes without GGBS replacement were also tested. Fresh, hardened, and durability properties of all the mixes were experimental determined and presented. The results showed that concrete mixes proportioned with 50% GGBS obtained a maximum 28-day compressive strength of 77 MPa. Further, all the mixes with GGBS exhibited superior durability properties when compared to control mixes. Thus, concrete mixes with 50% GGBS replaced for Portland cement are favourable for producing HSC at RMC facilities at Bangalore city.  2021 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
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            <elementTextContainer>
              <elementText elementTextId="121608">
                <text>Y B R.; Y R.R.; Hossiney N.; H T D.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="121609">
                <text>Cogent Engineering, Vol-8, No. 1</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="121610">
                <text>Cogent OA</text>
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            </elementTextContainer>
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          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="121611">
                <text>2021-01-01</text>
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            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="121612">
                <text>&lt;a href="https://doi.org/10.1080/23311916.2021.1938369" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1080/23311916.2021.1938369&lt;/a&gt;
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            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="121613">
                <text>All Open Access; Gold Open Access</text>
              </elementText>
            </elementTextContainer>
          </element>
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                <text>ISSN: 23311916</text>
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            <description>The file format, physical medium, or dimensions of the resource</description>
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            <elementTextContainer>
              <elementText elementTextId="121616">
                <text>English</text>
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          <element elementId="51">
            <name>Type</name>
            <description>The nature or genre of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="121617">
                <text>Article</text>
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            </elementTextContainer>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
            <elementTextContainer>
              <elementText elementTextId="121618">
                <text>Y B R., School of Civil Engineering, REVA University, Rukmini Knowledge Park, Bangalore, 560064, Yelahanka, India, Aparna Enterprises Limited, RMC Division, Bangalore, 560001, India; Y R.R., School of Civil Engineering, REVA University, Rukmini Knowledge Park, Bangalore, 560064, Yelahanka, India; Hossiney N., Department of Civil Engineering, CHRIST (Deemed to Be University), Bangalore, 560074, India; H T D., Research Associate, Department of Chemistry, BMS College of Engineering, Basavanagudi, 560019, Bangalore, India</text>
              </elementText>
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  <item itemId="21302" public="1" featured="0">
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          <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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                  <text>Reviews</text>
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      <name>Review</name>
      <description>Faculty Publications- Reviews</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="193533">
                <text>Properties, Synthesis and Emerging Applications of Graphdiyne: A Journey Through Recent Advancements</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="193534">
                <text>2D; Catalysis; Energy storage; Graphydiyne; Sensing; Surface functionalization</text>
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          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="193535">
                <text>Graphdiyne (GDY) is a new variant of nano-carbon material with excellent chemical, physical and electronic properties. It has attracted wide attention from researchers and industrialists for its extensive role in the fields of optics, electronics, bio-medics and energy. The unique arrangement of spsp2 carbon atoms, linear acetylenic linkages, uniform pores and highly conjugated structure offer numerous potentials for further exploration of GDY materials. However, since the material is at its infancy, not much understanding is available regarding its properties, growth mechanism and future applications. Therefore, in this review, readers are guided through a brief discussion on GDYs properties, different synthesis procedures with a special focus on surface functionalization and a list of applications for GDY. The review also critically analyses the advantages and disadvantages of each synthesis route and emphasizes the future scope of the material. Graphical abstract: (Figure presented.)  The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.</text>
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              <elementText elementTextId="193536">
                <text>Nidhi H.V.; Koppad V.S.; Babu A.M.; Varghese A.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="193537">
                <text>Topics in Current Chemistry, Vol-382, No. 2</text>
              </elementText>
            </elementTextContainer>
          </element>
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                <text>Molahalli V., Department of Physics, Faculty of Science, Kasetsart University, Bangkok, 10900, Thailand; Sharma A., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, 560029, India, Centre for Advanced Research and Development (CARD), CHRIST (Deemed to be University), Bangalore, 560029, India; Bijapur K., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, 560029, India, Centre for Advanced Research and Development (CARD), CHRIST (Deemed to be University), Bangalore, 560029, India; Soman G., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, 560029, India, Centre for Advanced Research and Development (CARD), CHRIST (Deemed to be University), Bangalore, 560029, India; Shetty A., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, 560029, India, Centre for Advanced Research and Development (CARD), CHRIST (Deemed to be University), Bangalore, 560029, India; Sirichandana B., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, 560029, India, Centre for Advanced Research and Development (CARD), CHRIST (Deemed to be University), Bangalore, 560029, India; Patel B.G.M., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, 560029, India, Centre for Advanced Research and Development (CARD), CHRIST (Deemed to be University), Bangalore, 560029, India; Chattham N., Department of Physics, Faculty of Science, Kasetsart University, Bangkok, 10900, Thailand; Hegde G., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, 560029, India, Centre for Advanced Research and Development (CARD), CHRIST (Deemed to be University), Bangalore, 560029, India</text>
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                <text>A research indicated that electricity is obliterating extra non-renewable sources for its production. In that, as per Centre for Policy Research (CPR), about 25% of the total production is diverted to meet the daily consumption in an Indian household. Not only this but also, waste management has become an important issue to deal with. According to Municipal Solid Waste (MSW) of India, waste generation in Indian urban communities extends between 200 - 870 grams per day, contingent on the localities' standard of living and the area of the city. Therefore, in this paper we propose a concept that focuses on a sustainable solution using Artificial Intelligence and Machine Learning algorithms for waste and carbon footprint reduction in a home. This concept explains a solution availed with the help of a proposed model called Home Resource Management (HoReM) that is imbibed in a Smart home.  2019 IEEE.</text>
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                <text>PROSPECTING OF MUVS MARKET POTENTIAL  IN INDIAN

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                <text>The development of nanotechnology has been advancing for decades and gained acceleration in the 21st century. Two-dimensional (2D) materials are widely available, giving them a wide range of material platforms for technological study and the advancement of atomic-level applications. The design and application of 2D materials are discussed in this review. In order to evaluate the performance of 2D materials, which might lead to greater applications benefiting the electrical and electronics sectors as well as society, the future paradigm of 2D materials needs to be visualized. The development of 2D hybrid materials with better characteristics that will help industry and society at large is anticipated to result from intensive research in 2D materials. This enhanced evaluation might open new opportunities for the synthesis of 2D materials and the creation of devices that are more effective than traditional ones in various sectors of application.  2023 The Authors</text>
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                <text>ISSN: 25890042</text>
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                <text>Kumbhakar P., Metallurgical and Materials Engineering, Indian Institute of Technology, West Bengal, Kharagpur, 721302, India, Department of Physics and Electronics, CHRIST (Deemed to Be University), Bangalore, 560029, India; Jayan J.S., Department of Chemistry, National Institute of Technology Calicut, Kerala, Calicut, India, Department of Chemistry, Amrita Vishwa Vidyapeetham, Amritapuri, Kerala, Kollam, India; Sreedevi Madhavikutty A., Department of Chemical System Engineering, The University of Tokyo, Tokyo, 113-0033, Japan; Sreeram P.R., Metallurgical and Materials Engineering, Indian Institute of Technology, West Bengal, Kharagpur, 721302, India; Saritha A., Department of Chemistry, Amrita Vishwa Vidyapeetham, Amritapuri, Kerala, Kollam, India; Ito T., Department of Chemical System Engineering, The University of Tokyo, Tokyo, 113-0033, Japan, Center for Disease Biology and Integrative Medicine, Faculty of Medicine, The University of Tokyo, Tokyo, 113-0033, Japan; Tiwary C.S., Metallurgical and Materials Engineering, Indian Institute of Technology, West Bengal, Kharagpur, 721302, India</text>
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                <text>Cambridge prospective memory test; early psychosis; established psychosis; prospective and retrospective memory test; prospective memory</text>
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                <text>Individuals affected by psychosis often have deficits in several neurocognitive functions. Prospective memory (PM), the ability to remember to do things, is crucial for activities of daily living, social and occupational functioning, but very few studies have attempted to examine this domain of functioning in people with psychosis, particularly in India. A total of 71 patients with psychosis, (both early and established psychosis), and 140 age, gender and education-matched healthy controls were assessed using the Positive and Negative Symptom Scale, Hospital Anxiety and Depression scale, and Addenbrooke's Cognitive Examination. PM was assessed using the Cambridge Prospective Memory Test and the Prospective and Retrospective Memory Questionnaire (PRMQ). Group differences were evaluated using MannWhitney U-tests. Significantly greater cognitive deficits, higher anxiety and depression were evident in the psychosis group compared with controls. The psychosis group performed significantly poorer on both time- and event-based tests in CAMPROMPT than controls. These differences remained when controlling for age, education, general cognitive functioning and mood. The subjective measure of PM (PRMQ) did not differentiate the two groups. The PM performance of early and established psychosis patients was similar. Comparisons with cross-cultural data (PRMQ UK norms and CAMPROMPT and PRMQ Chinese data) revealed important differences in PM performance. Individuals with psychosis have significant deficits in both time- and event-based PM. CAMPROMPT emerged as a more sensitive PM measure compared with PRMQ. Results from cross-cultural comparisons underscore the need for cultural contextualization of assessments.  2023 The British Psychological Society.</text>
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                <text>Rao P.S.; Rangaswamy M.; Evans J.; Dutt A.</text>
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                <text>Journal of Neuropsychology, Vol-17, No. 3, pp. 461-476.</text>
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                <text>John Wiley and Sons Ltd</text>
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                <text>&lt;a href="https://doi.org/10.1111/jnp.12314" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1111/jnp.12314&lt;/a&gt;
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                <text>ISSN: 17486645; PubMed ID: 37070648</text>
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                <text>Rao P.S., Department of Psychology, Christ University, Karnataka, Bangalore, 560029, India, Duttanagar Mental Health Centre, Kolkata, 700077, India; Rangaswamy M., Department of Psychology, Christ University, Karnataka, Bangalore, 560029, India; Evans J., Department of Psychology, Christ University, Karnataka, Bangalore, 560029, India, Institute of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom; Dutt A., Department of Psychology, Christ University, Karnataka, Bangalore, 560029, India, Duttanagar Mental Health Centre, Kolkata, 700077, India, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom</text>
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                <text>Prospects of CSR: An Overview of 500 Indian Companies</text>
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                <text>Management Studies</text>
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                <text>Leena James</text>
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