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                <text>The increasing industrialisation and fast growth do not only pose problems related to the allocation of resources and powers, but also severely challenge the natural environment. Environmental degradation such as contaminated water, sinking groundwater levels, unhealthy soils, and polluted air has become a harsh reality in many parts of the world. One result of a rapid urbanisation, a slowly reducing gap between urban and rural, changing consumption patterns, and a growing population is the problem of waste. However, although it is the duty of the urban local bodies (ULBs) to address the issue of waste, tight budgets, inefficient organisation, has rendered a situation that has little hope for alleviation in the near future. This chapter aims to understand the concept of waste management through 3Rs. The focus is to identify the contemporary 3Rs practices and also develop advanced strategies for the same.  2024 by IGI Global.</text>
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                <text>Datta R., Department of Chemistry, Christ University, Bangalore 560 029, Hosur Road, India; Ramya V., Department of Chemistry, Christ University, Bangalore 560 029, Hosur Road, India; Sithambaresan M., Department of Chemistry, Faculty of Science, Eastern University, Sri Lanka, Chenkalady, Sri Lanka; Kurup M.R.P., Department of Applied Chemistry, Cochin University of Science and Technology, Kochi 682 022, India</text>
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                <text>Gracia S., Christ University, Department of Computer Science, Bangalore, India; Soundarabai P.B., Christ University, Department of Computer Science, Bangalore, India; Raj P., Reliance Jio Platforms Ltd., Site Reliability Engineering Coe, Bangalore, India</text>
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                <text>5G Technology Empowering Wireless Technology</text>
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                <text>Wireless Communication is the means of transferring data from one point to another without the use of any wired means. With reference to wireless communication, wireless sensor Networks (WSN) have also developed in recent times. It can be referred as an infrastructure-less system of wireless devices which can gather and exchange information with the help of a wireless link. The information which is gathered is sent respectively to the base stations and sinks for further developments. Recently, the 5G generation network, the latest Wireless Communication Network operates at a higher frequency range than its predecessor. In this paper, a detailed analysis on the 5G generation cellular network, which is expected to be a key instrument of wireless technologies in the near future is outlined. Also a comparative analysis of different kinds of networks in context to wireless scenario is discussed. It was found that 5G provides the best outcome in terms of high speed and network spectrum bandwidth.  2023 IEEE.</text>
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                <text>2023 International Conference on Advances in Computation, Communication and Information Technology, ICAICCIT 2023, pp. 878-883.</text>
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                <text>ISBN: 979-835034438-7</text>
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                <text>Basuri S., Kalinga Institute of Industrial Technology, Deemed to Be University, Bhubaneswar, India; Parida A., Kalinga Institute of Industrial Technology, Deemed to Be University, Bhubaneswar, India; Mishra S., Kalinga Institute of Industrial Technology, Deemed to Be University, Bhubaneswar, India; Sharma V., Christ (Deemed to Be University), Department of Computational Sciences, Delhi NCR, India; Al-Khasawneh M.A., Skyline University College, University City Sharjah, School of Computing, Sharjah, 1797, United Arab Emirates; Alkhayyat A., The Islamic University, College of Technical Engineering, Najaf, Iraq</text>
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                <text>5G-UFMC System For PAPR Reduction Using SRC-Precoding With Different Numerologies</text>
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                <text>5G; and Beyond 5G (B5G); Peak-to-Average Power Ratio (PAPR); SRC-Precoding; Universal-Filter-Multicarrier (UFMC)</text>
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                <text>Universal Filtered Multicarrier (UFMC) has been incorporated in 5G and is likely to be considered in future generations (B5G). The prominent limitation of UFMC manifests as a high Peak-to-Average Power Ratio (PAPR). Our suggested approach to address the Peak-to-Average Power Ratio (PAPR) issue in UFMC signals involves the application of diverse precoding matrices, including Square Root Raised Cosine Function (SRC), Discrete Cosine Transform (DCT), and Discrete Hartley Transform (DHT).This technique reduces the PAPR performance of UFMC signals over current state of the art methods. In square root raised cosine (SRC) precoding techniques, a novel precoding matrix is adapted for minimizing PAPR and improvement of BER respectively. Results show that the different subcarrier was applied and surpasses all existing techniques in reduction of PAPR and BER improvement. A novel SRC-Precoding technique reduces PAPR by 5dB for considering 512 sample points with QAM modulation as compared to 10dB for the conventional technique. Additionally, the Bit Error Rate Performance is maintaining 14dB when compared to conventional technique. Furthermore, the evaluation of Bit Error Rate (BER) performance and Peak-to-Average Power Ratio (PAPR) in the UFMC system reveals superior results compared to conventional technique.   2024 IEEE.</text>
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                <text>Ponmani Raja M.; Sujatha S.; Prajoon P.</text>
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                <text>Proceedings of the 2024 10th International Conference on Communication and Signal Processing, ICCSP 2024, pp. 559-564.</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>&lt;a href="https://doi.org/10.1109/ICCSP60870.2024.10543348" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICCSP60870.2024.10543348&lt;/a&gt;
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                <text>ISBN: 979-835035306-8</text>
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                <text>Ponmani Raja M., Christ (Deemed To Be University), Bengaluru, India; Sujatha S., Christ (Deemed To Be University), Department of ECE, Bengaluru, India; Prajoon P., Jyothi Engineering College, Department of ECE, Thrissur, India</text>
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                <text>6-Bromo-2-(3-phenylallylidene)-2,3,4,9-tetrahydro-1H-carbazol-1-one</text>
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                <text>data-to-parameter ratio = 18.7; disorder in main residue; mean ?(C-C) = 0.005  R factor = 0.044; single-crystal X-ray study; T = 293 K; wR factor = 0.137</text>
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                <text>molecules of the title compound, C21H16BrNO, are linked through pairs of N-H?O intermolecular hydrogen bonds into centrosymmetric R2 2(10) dimers. One of the C atoms of the cyclohex-2-enone ring is disordered with refined occupancies of 0.61 (2) and 0.39 (2).</text>
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                <text>Velmurugan R.; Sekar M.; Vijayasankar A.V.; Ramesh P.; Ponnuswamy M.N.</text>
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                <text>Acta Crystallographica Section E: Structure Reports Online, Vol-67, No. 12, pp. o3269-.</text>
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                <text>&lt;a href="https://doi.org/10.1107/S1600536811046563" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1107/S1600536811046563&lt;/a&gt;
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                <text>All Open Access; Gold Open Access; Green Open Access</text>
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                <text>ISSN: 16005368</text>
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                <text>Physical vapor deposition method was employed to deposit antimony telluride (Sb2Te3) crystals in a dual-zone furnace. The microstructure, surface topography and composition of samples were characterized using X-ray diffraction, atomic force and scanning electron microscopy. Seebeck coefficient (S?c), electrical conductivity (??c) as well as power factor (PF) were enhanced for pure Sb2Te3 samples upon annealing, and the samples annealed at 473 K exhibited the highest PF of 3.16 10-3 W m-1K-2 with an enhancement of 22% in the figure of merit (Z). When the delivered dose of 60Co gamma radiation was increased from 0 to 30 kGy in the stoichiometric crystals, ??c decreased due to the decrease in mobility. As a result of the increase in S, PF and Z improved by 12.11 and 13.7%, respectively, in the 30 kGy gamma-irradiated crystals. Both RH (B?c) and S?c were positive, suggesting that the prepared Sb2Te3 crystals retained the p-type semiconductivity after these treatments.  The Chinese Society for Metals and Springer-Verlag 2015.</text>
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                <text>Allocation of investment assets is key in attaining a sustainable retirement portfolio. In this research article, the authors analyzed the most recent research publications in the area related to asset allocation for retirement and identified those which have the highest impact. The authors research was conducted using the bibliometric analysis technique of research articles collected from the Scopus database. Most of the research articles were published in reputed journals in the United States, United Kingdom, Australia, and Germany. It was also observed that most of the highly cited research articles in the research area of asset allocation for retirement are focused on financial literacy, increase in retirement age, aging, and pension reforms. The authors findings identified six research themes in asset allocation for retirement such as 1) asset allocation for retirement planning, 2) methods to increase efficiency, 3) investment preferences for retirement savings 4) financial literacy and retirement planning, 5) reforms on retirement savings, and 6) annuities for retirement income. Furthermore, nineteen future research directions are also provided. In conclusion, the authors aim to assist future researchers in identifying highly cited articles, key authors, contributing countries and research themes in asset allocation for retirement. Overall, the analysis provides comprehensive information in addressing research questions in the field of asset allocation for retirement. Copyright 2024 With Intelligence LLC.</text>
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                <text>Journal of Retirement, Vol-12, No. 1, pp. 61-83.</text>
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                <text>Lyngdoh S.W., Department of Commerce at Christ University in NCR, Delhi, India; Das S., Department of Commerce at Christ University in NCR, Delhi, India; Das T., Department of Business and Management at Christ University in NCR, Delhi, India</text>
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                <text>A Bibliometric Analysis of Industry 4.0 and Health-Care Services</text>
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                <text>A key moment in health care is marked by the Fourth Industrial Revolution, commonly referred to as Industry 4.0. This transformation, driven by the convergence of digital technologies with automation and data driving processes, has led to a paradigm shift in how health care is provided. The integration of the emerging technologies in Industry 4.0, such as Internet of Things, Artificial Intelligence, Big Data Analytics and Advanced Robots, are revolutionizing patient care, improving resource allocation and shaping research's landscape. To learn more about the ever-evolving relationship between Industry 4.0 and health care, this research paper begins with a bibliographic analysis. In this interdisciplinary convergence, our bibliometric analyses serve as a lens through which we can see the key trends, research areas and influential players. The review of literature highlights the profound impact of Industry 4.0 on health care, revealing that Internet of Things technologies for real-time patient tracking, proliferation of artificial intelligence in medical diagnosis and transforming power of big data Analytics are changing health care decision making. Methodologically, we leverage bibliometrics as a quantitative analytical tool, drawing on citation counts, bibliographic coupling, and keyword co-occurrence analysis. The data for this analysis, which covered the period 20152023, was carefully collected from Scopus database. The analysis of the information reveals that, particularly from 2018 onwards, there has been a significant increase in publications concerning Industry 4.0 and health care. In this research landscape India has emerged as a strong contributor, with countries such as the United States and Italy making significant progress. Publication trends and bibliographic coupling among countries and sources shed light on collaborative networks and research focus. The emergence of machine learning, artificial intelligence and data analysis as important themes is illustrated by a co-occurrence analysis of keywords that elucidates evolving research interests. In the complicated terrain of health care converging with Industry 4.0, this research paper serves as a compass. The report highlights this convergence's transformative potential, highlighting the pivotal role that bibliometrics analysis must play in determining future research areas in adopting Industry 4.0 in the health-care sector.  The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.</text>
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                <text>Praveen Kumar T.; Saha S.K.; Sharma K.; Jha A.</text>
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                <text>&lt;a href="https://doi.org/10.1007/978-981-97-6465-5_27" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-97-6465-5_27&lt;/a&gt;
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                <text>ISSN: 18761100; ISBN: 978-981976464-8</text>
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                <text>Praveen Kumar T., CHRIST University, Bengaluru, India; Saha S.K., CHRIST University, Bengaluru, India; Sharma K., Sikkim Manipal Institute of Technology, Majitar, India; Jha A., Sikkim Manipal Institute of Technology, Majitar, India</text>
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                <text>A bibliometric analysis of sustainability and organizations performance</text>
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                <text>The incorporation of sustainability into an organizations performance is becoming an emerging topic to work upon. Moreover, conventional economic systems have had significant negative consequences for sustainable management, as well as imbalanced wealth distribution, which has resulted in natural catastrophes and population disparity. Sustainability practices in the current environment represent better quality performances and affect organizations performance. This research highlights the key areas and current evolution in the notion of sustainable development and organizational performance, as well as recommendations for further studies. Using the bibliometric analysis we examine a sample of 1442 articles published in Scopus between 1994 till 2021. The researcher identifies prominent authors, publications, and journals by employing a variety of network analysis techniques such as term co-occurrence, co-citation, and bibliography coupling with the help of VOS viewer. To the best of the authors knowledge, no other study has examined bibliographic data on sustainability and organizations performance; hence, this research is a one-of-a-kind addition to the literature.  The Author(s), under exclusive licence to Springer Nature B.V. 2024.</text>
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                <text>Mishra P., GLA University, Mathura, India; Guru Sant T., GLA University, Mathura, India; Kumar K., Christ University, Bengaluru, India</text>
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                <text>A Big Data Analysis Using Fuzzy Deep Convolution Network Based Model for Heart Disease Classification</text>
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                <text>Big data analysis; Cleveland heart disease UCI datasets; Fuzzy deep convolution network; Traffic data</text>
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                <text>Heart disease is a serious disease that causes sudden death among 80% of the people around the world. The traditional models performed predictive analytics using machine learning techniques to make a better decision. For better decision making in heart disease prediction, the big data analysis shows the great opportunities to predict the future health status from health parameters and provide best outcomes. However, the traditional decision making models had traffic data or contained noise and uncertainty was unpredictable as the data ambiguity emerged. In order to overcome such an issue, the big data is used to ensure the medical service which is mostly needed in a timely manner and for accurate diagnosis. The pre-processing of the medical data acquired from Cleveland heart disease UCI datasets has a vast number of attributes which helps to predict the heart disease. The data are contaminated with the noise and some of the data are missing, so the pre-processing using Min max Normalization is performed to remove contaminated noise acquired in the data which is taken from the UCI repository dataset. The proposed Fuzzy Deep Convolution Network (FDCN) permits the input features for fuzzification process that uses transformed features. The fuzzification process eliminates the redundant or irrelevant fuzzified features and overcomes the system complexity problems. The proposed FDCN obtains accuracy of 95.56 % and 92 % of F-score shows better results when compared with the existing KNN-DT, Naive Bayes, and Random Forest algorithms.  2021,International Journal of Intelligent Engineering and Systems. All Rights Reserved.</text>
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                <text>Manur M.; Pani A.K.; Kumar P.</text>
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                <text>International Journal of Intelligent Engineering and Systems, Vol-14, No. 2, pp. 147-156.</text>
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                <text>Intelligent Network and Systems Society</text>
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                <text>All Open Access; Bronze Open Access</text>
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                <text>ISSN: 2185310X</text>
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                <text>Manur M., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Hyderabad, India; Pani A.K., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Hyderabad, India; Kumar P., Department of Computer Science and Technology, Motihari College of Engineering, Bihar, India</text>
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                <text>Patent Number: 201941016219, Applicant: Saji Varghese.&#13;
The embodiments herein relate to a bio-degradable food handling device (10, 20, 30, 40, 50 and 60) for use as at least one of a drinking straw, a stirrer, a chopstick, a balloon stick and a candy stick. Further, embodiments herein relate to systems (100) and methods (200, 300) of making the bio-degradable food handling devices (10, 20, 30, 40, 50 and 60).</text>
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                <text>Varghese, Saji.</text>
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                <text>&lt;a href="https://drive.google.com/file/d/134_KmoUkb18xmHlV1HtKVzGV0aiobWvW/view" target="_blank" title="A biodegradable means to sip liquids and methods thereof /" rel="noreferrer noopener"&gt;https://drive.google.com/file/d/134_KmoUkb18xmHlV1HtKVzGV0aiobWvW/view&lt;/a&gt;</text>
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              <elementText elementTextId="14747">
                <text>Intellectual Property India</text>
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                <text>A Bird's-Eye View on Deep Eutectic Solvent-Mediated Multicomponent Synthesis of N-Heterocycles</text>
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                <text>Deep eutectic solvents; Multicomponent synthesis; N-Heterocycles; One-pot; Review</text>
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              <elementText elementTextId="195388">
                <text>Multicomponent reactions are crucial for operating organic synthesis. In today's world, chemists concentrate on greener methodologies that cater to rising environmental concerns. Most conventional organic solvents are harsh on the environment, which can be addressed by environmentally and pocket-friendly Deep eutectic solvents (DES). Organic synthesis via MCR in the presence of DES has resulted in the blend of green methodology and green solvent for organic transformations. Forasmuch as addressing the environmental concerns and developing higher heterocycles, our review focuses on the literature published on the DES-mediated Multicomponent synthesis of N-Heterocyclic compounds.  2023 Wiley-VCH GmbH.</text>
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                <text>Kumar S L.; Servesh A.; Kumar Sriwastav Y.; Balasubramanian S.; Tabassum S.; Govindaraju S.</text>
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                <text>ChemistrySelect, Vol-8, No. 16</text>
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              <elementText elementTextId="195391">
                <text>John Wiley and Sons Inc</text>
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                <text>&lt;a href="https://doi.org/10.1002/slct.202301054" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1002/slct.202301054&lt;/a&gt;
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                <text>Kumar S L., Department of Chemistry, CHRIST  Deemed to be University, Karnataka, Bengaluru, India; Servesh A., Department of Chemistry, CHRIST  Deemed to be University, Karnataka, Bengaluru, India; Kumar Sriwastav Y., Department of Computer Sciences, CHRIST  Deemed to be University, Karnataka, Bengaluru, India; Balasubramanian S., Department of Computer Sciences, CHRIST  Deemed to be University, Karnataka, Bengaluru, India; Tabassum S., Department of Chemistry, Surana College, Karnataka, Bengaluru, India; Govindaraju S., Department of Sciences &amp;amp; Humanities, CHRIST  Deemed to be University, Karnataka, Bengaluru, India</text>
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                <text>A Bose horn antenna radio telescope (BHARAT) design for 21 cm hydrogen line experiments for radio astronomy teaching</text>
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                <text>We have designed a low-cost radio telescope system named the Bose Horn Antenna Radio Telescope (BHARAT) to detect the 21 cm hydrogen line emission from our Galaxy. The system is being used at the Radio Physics Laboratory (RPL) (Radio Physics Lab, IUCAA NCRA-TIFR, , ), Inter-University Centre for Astronomy and Astrophysics (IUCAA), India, for laboratory sessions and training students and teachers. It is also a part of the laboratory curriculum at several universities and colleges. Here, we present the design of a highly efficient, easy to build, and cost-effective dual-mode conical horn used as a radio telescope and describe the calibration procedure. We also present some model observation data acquired using the telescope for facilitating easy incorporation of this experiment in the laboratory curriculum of undergraduate or post-graduate programs. We have named the antenna after Acharya (teacher or an influential mentor) Jagadish Chandra Bose, honoring a pioneer in radio-wave science and an outstanding teacher, who inspired several world renowned scientists.   2022 Author(s).</text>
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                <text>Mhaske A.A.; Bagchi J.; Joshi B.C.; Jacob J.; Paul K.T.</text>
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                <text>American Journal of Physics, Vol-90, No. 12, pp. 948-960.</text>
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                <text>American Association of Physics Teachers</text>
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                <text>&lt;a href="https://doi.org/10.1119/5.0065381" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1119/5.0065381&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143969080&amp;amp;doi=10.1119%2F5.0065381&amp;amp;partnerID=40&amp;amp;md5=c9aff43476fe59b65563e39957fb8d55" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143969080&amp;amp;doi=10.1119%2f5.0065381&amp;amp;partnerID=40&amp;amp;md5=c9aff43476fe59b65563e39957fb8d55&lt;/a&gt;</text>
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                <text>All Open Access; Green Open Access</text>
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                <text>Mhaske A.A., Inter-University Centre for Astronomy and Astrophysics, Savitribai Phule Pune University Campus, Post Bag 4, Ganeshkhind, Pune, 411007, India; Bagchi J., Inter-University Centre for Astronomy and Astrophysics, Savitribai Phule Pune University Campus, Post Bag 4, Ganeshkhind, Pune, 411007, India, Department of Physics &amp;amp; Electronics, CHRIST, Deemed to Be University, Hosur Road, Bengaluru, 560029, India; Joshi B.C., National Centre for Radio Astrophysics, Tata Institute of Fundamental Research, Pune University Campus, Post Bag 3, Ganeshkhind, Pune, 411007, India; Jacob J., Newman College, Thodupuzha, Kerala, 685585, India; Paul K.T., Department of Physics &amp;amp; Electronics, CHRIST, Deemed to Be University, Hosur Road, Bengaluru, 560029, India</text>
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