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                <text>Chakravarthy, V.J.; Thontadari, C.; Basavaraj G.N.; Sowndharya, R.; Aravindan, N.; Sangeetha, V.</text>
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                <text>Chakravarthy V.J., Faculty of Computer Applications, Dr. M. G. R. Educational and Research Institute, Maduravoyal, Chennai, 95, India; Thontadari C., Department of Computer Science, Christ University, Bangalore, India; Basavaraj G.N., Department of Information Science and Engineering, BMS Institute of Technology &amp;amp; Management, Karnataka, Bengaluru, India; Sowndharya R., Department of Computer Science and Engineering, Sona College of Technology, Salem, India; Aravindan N., Department of Fire Engineering, National Fire Service College, Nagpur, India; Sangeetha V., Faculty of Computer Applications, Dr. M. G. R. Educational and Research Institute, Chennai, 95, India</text>
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                <text>The current research proposes an intelligent network system that continuously tracks the quality of water flow, with particular attention to pollutants frequently occurring in runoff water from agricultural practices. It deploys high-performance electrochemical sensors based on carbon nanotubes (CNT) combined with a small neural network that functions directly on the built-in microcontroller. It is deployed on floating buoys powered by solar energy, where it can detect some critical contaminants in the rural water bodies, including nitrates, phosphates, atrazine, cadmium, and lead. The sensors work by transmitting their electrical signals through the sensors to the neural network, which provides precise identification of the level of pollutants as one of three risk levels: safe (below detection levels), manageable (within regulatory levels), and hazardous (exceeding regulations). Regarding power performance, results can be delivered over a relatively small-time delay (1.2 milliseconds per reading) and with low memory usage (1.8 MB), making it ideal for remote and low-powered sensors. It is more accurate (93.6 %) than typical machine learning models. Should pollutants exceed the above-prescribed limits, an automated warning will be generated, and the information will be immediately uploaded to a cloud-based dashboard. The dashboard will be closely monitored via remote control, and trend analysis will be conducted. By eliminating the need for manual water sampling, the system offers a scalable and energy-saving method for autonomous environmental testing, particularly in inaccessible locations. In the future, the study will focus on the use of federated learning, a technique that retains data locally to protect privacy, enabling more intelligent and collaborative conclusions across sensor networks. This prepares the ground for more intelligent and secure environmental surveillance systems in the future.  2025 Elsevier B.V.</text>
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                <text>Yellow leaf disease, climate change, and its impact on the life of farmers in Sullia</text>
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                <text>Agriculture; Arecanut; Community; Farmer well-being; Yellow leaf disease</text>
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                <text>Sullia taluk of Dakshina Kannada district has been receiving heavy rainfall for the past few years, having a huge impact on agriculture. Yellow leaf disease spreads from one fully grown tree to another and gradually to the adjacent trees. Arecanut plantations across the region developed the disease, reducing arecanut production. It has hit the livelihood of many farmers whose only source of income was the harvest of arecanuts. Apart from the fungal infection causing financial loss, farmers also face the brunt of gradually reducing agricultural yield in consecutive years. It is yet to be tackled with chemical treatment and hence stands tall as a problem causing an impact on the lives of farmers in Sullia. The current study explored the problem of climate change resulting in yellow disease and its impact on the well-being of plantation owners and workers in the context of Sullia whose culture is rooted in the land. A lack of awareness about mental health influencing the understanding of an epidemic interfering with the local way of life has been emphasized.  2025 Elsevier Inc. All rights are reserved including those for text and data mining AI training and similar technologies.</text>
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                <text>Chakshu Narayan A.</text>
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                <text>Impact of Climate Change on Social and Mental Well-Being, pp. 317-330.</text>
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                <text>&lt;a href="https://doi.org/10.1016/B978-0-443-23788-1.00018-X" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/B978-0-443-23788-1.00018-X&lt;/a&gt;
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                <text>Chakshu Narayan A., Department of Psychology, CHRIST (Deemed to be University), Karnataka, Bengaluru, India</text>
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                <text>Contemporary Indian Way of Settling Down: Emerging Adults Perspective</text>
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                <text>career decision-making; education; emerging adults; migration; Settling down</text>
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                <text>Settling down in India historically entailed a culturally constructed notion for individuals, focusing on marriage. An exploration of the modern Indian idea of Settling down was explored in light of the driving forces of globalization and increased migration. The current study explored the concept of Settling down among emerging adults aged between 18 and 29 years who had migrated within the borders of India for education or employment purposes. To this end, semi-structured interviews were conducted. The reflexive thematic analysis method was employed for analysing the data. Emerging themes unveiled that despite marriage being endorsed by a few of the participants, co-habiting relationships were convenient and burden-free. Employment, financial independence, and professional stability emerged as the primary markers of Settling down among migrant emerging adults. It was also recognized that migration had a critical impact on peoples decisions about settling down..  2024 The Author(s). Published by Informa UK Limited, trading as Taylor &amp;amp; Francis Group.</text>
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                <text>Chakshu Narayan A.; Chakraborty R.</text>
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                <text>International Journal of Adolescence and Youth, Vol-29, No. 1</text>
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                <text>ISSN: 2673843</text>
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                <text>Chakshu Narayan A., Department of Psychology, CHRIST (Deemed to be University), Bengaluru, India; Chakraborty R., Department of Psychology, CHRIST (Deemed to be University), Bengaluru, India</text>
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                <text>Chakshu Narayan, Akhila; Chakraborty, Rituparna</text>
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                <text>Chakshu Narayan A., School of Psychological Sciences, Christ University, WJM4+QF7, Campus Road, Bhavani Nagar, S.G. Palya, Karnataka, Bengaluru, 560029, India; Chakraborty R., School of Psychological Sciences, Christ University, WJM4+QF7, Campus Road, Bhavani Nagar, S.G. Palya, Karnataka, Bengaluru, 560029, India</text>
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                <text>Human migration brings about changes in personal, social, cultural, political, and economic facets of life. This study examined the pre-migratory and post-migratory contexts of emerging adults in India to explore their connection to the existing relationships at migration origin, and upcoming interactions at migration destination. A qualitative method was used to capture the subjective experiences of emerging adults from middle SES, who migrated for education or employment reasons from rural, semi-urban, or urban areas. The migration experiences of these 1829 year-old emerging adults were analyzed through the lens of the social-cognitive model of transference. Semi-structured interviews of 17 internal migrants were conducted to learn about their experience residing away from home. Data analysis revealed schemas concerning significant others interfering with their new relationships at migration destination. Narratives of attachment, support, and conflict shaped their new relationship and self-perception at the migration destination.  2026 Elsevier Ltd.</text>
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                <text>Online cooperative learning: exploring perspectives of pre-service teachers after the pandemic</text>
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                <text>Mainly, research has explored pre-service teachers perspectives toward cooperative learning within face-to-face teaching. However, in a post-pandemic scenario, previous research has yet to effectively explore pre-service teachers (PSTs) perspectives toward online cooperative learning (OCL) in teacher education programs. So, recognizing the gap in the literature, this paper aims to explore the perspectives of PSTs towards OCL. The researchers employed a qualitative research design for the present study. The researchers conducted semi-structured interviews with 10 PSTs who underwent OCL during the pandemic. These PSTs may possess digital proficiency, virtual collaboration abilities, flexibility in evolving educational environments, and an enhanced understanding of online cooperative learning methodologies within modern education. Researchers employed a thematic analysis to analyze the qualitative data obtained. The various themes that emerged from the study are perceived benefits of OCL, challenges to OCL, technological proficiency, learning strategies and support, and building a supportive online learning community. Future researchers may contribute to advancing effective online learning practices by gaining a deeper understanding of pre-service teachers perspectives towards OCL through research on a larger scale, including various teacher education programs in various countries.  2024, Institute of Advanced Engineering and Science. All rights reserved.</text>
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                <text>International Journal of Evaluation and Research in Education , Vol-13, No. 4, pp. 2399-2409.</text>
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                <text>ISSN: 22528822</text>
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                <text>Chakyarkandiyil N., School of Education, Christ University, Bangalore, India; Prakasha G.S., School of Education, Christ University, Bangalore, India</text>
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                <text>Impact of online cooperative learning strategies on self-directed learning among pre-service teachers </text>
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                <text>Journal of Education and Learning;Volume;19;Issue;4;pp.1914-1921</text>
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                <text>&lt;a href="https://doi.org/10.11591/edulearn.v19i4.23496" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.11591/edulearn.v19i4.23496&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105013503054?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105013503054?origin=resultslist&lt;/a&gt;</text>
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                <text>Chakyarkandiyil N., School of Education, Christ University, Bangalore, India; Prakasha G.S., School of Education, Christ University, Bangalore, India</text>
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                <text>Self-directed learning (SDL) often drives learners to engage with what they want to learn. Thus, investigating teaching-learning strategies that drive SDL gains importance in this technology-driven era. The present study investigates the impact of online cooperative learning (OCL) strategies on SDL skills among pre-service teachers (PST). The study engaged 130 PSTs using a quasi-experimental non-equivalent control group design with a pretest and posttest. The study divided PST into a control group and an experimental group. The experimental group underwent OCL strategy, and the control group had a traditional online lecture method. The researchers measured the SDL of PST using the SDL scale. The paired sample t-test results indicated a significant enhancement in SDL skills among the experimental group compared to the control group. The findings underscore the importance of integrating cooperative learning (CL) strategies in online instruction to foster SDL ability among learners. Further studies may create user-friendly features in video-conferencing platforms that provide more opportunities to engage students with CL pedagogies.  2025, Intelektual Pustaka Media Utama. All rights reserved.</text>
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                <text>Blended learning; Collaborative learning; Life-long learning; Online learning; Pre-service teachers; Self-directed learning</text>
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                <text>Sales Prediction Scheme Using RFM based Clustering and Regressor Model for Ecommerce Company</text>
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                <text>Machine Learning algorithms; Prediction; Unsupervised Algorithms</text>
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                <text>Machine learning models are being used for better insights and decision making across many industries today. It shows to be quite useful for businesses in the ecommerce industry as well due to the vast amount of data generated and its potential. This research aimed to find insights on future sales of an ecommerce company [1]. The vast number of variables including both categorical and continuous variables under product data, customer information, transaction information, led us to implement a prediction model using regressors rather than just time series forecasting techniques. First an RFM (Recency, Frequency and Monetary) based clustering algorithm was used to get customer related information and then integrate those results into a regressor to achieve the desired goal of prediction of sales. Two schemes were tested one being predictions on individual clusters and the other where the clusters were one hot encoded back into the main data. Results show quite high accuracy of prediction. The high R-squared also indicated that our hypothesis of including the variables contributed significantly to the predicted sales values was correct in this case. This research fulfills an identified need to understand how machine learning algorithms can be implemented by multiple algorithms being integrated in sequential and logical orders thus helping derive business specific strategies rather than making it a mere technical process by providing empirical results about how the predicted sales values along with given inputs can contribute in business decision making relating to marketing, inventory management, dynamic pricing or many more such strategies.  2022 ACM.</text>
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                <text>Chalapathy N.; Helen Josephine V.L.; Rajalakshmi K.</text>
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                <text>Association for Computing Machinery</text>
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                <text>Champaneria, Tushar A.; Patil, Kamlesh Vasantrao; Yamini, Sunkara; Reddy, Uma; Kansal, Lavish; Acharjee, Purnendu Bikash</text>
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                <text>Recent Trends in Engineering and Science for Resource Optimization and Sustainable Development;pp.185-188</text>
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                <text>Champaneria T.A., U &amp;amp; P U. Patel Department of Computer Engineering, CHARUSAT University, India; Patil K.V., Department of Information Technology, Bharati Vidyapeeth College of Engineering for Women Pune 43, Maharashtra, India; Yamini S., Department of Computer Science and Engineering, Institute of Aeronautical Engineering, Telangana, Hyderabad, India; Reddy U., Department of Artificial Intelligence and Machine Learning, New Horizon College of Engineering, Bangalore, India; Kansal L., Lovely Professional University, Phagwara, India; Acharjee P.B., Computer Science, CHRIST University, Bangaluru, India</text>
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                <text>The Internet of Things (IoT) has received a lot of interest in recent times. IoT depicts the upcoming internet and is defined as an environment of linked gadgets, computational processes, and other items that collaborate to transmit information or data with greater ease and economic advantages. Nevertheless, because of the presence of numerous concerns, IoT adoption, architecture, and innovation continue concerns. As a result, the purpose of this study was to identify and analyze the concerns in the adoption, architecture, and innovation of IoT systems in construction enterprises in the Indian environment. The research analysis and professional comments have been employed to identify the barriers to IoT adoption, architecture, and innovation. This research may assist professionals and policymakers in addressing barriers to successful IoT adoption and spread. At last, findings and potential research possibilities are provided.  2024 selection and editorial matter, Prof. (Dr.) Dorota Jelonek, Prof. (Dr.) Narendra Kumar, Prof. (Dr.) Mamta Chahar, Prof. (Dr.) Rusudan Kinkladze and Prof. (Dr.) Lilla Knop; individual chapters, the contributors.</text>
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                <text>Champatiray C., Christ University, Department of Mechanical &amp;amp; Automobile Engineering, Bengaluru, India; Samal S., Alliance University, Dept. of Computer Science &amp;amp; Engineering, Bengaluru, India; Gadekellu T.R., College of Mathematics and Computer Science, Zhejiang A&amp;amp;F University, Hangzhou, China, Lovely Professional University, Division of Research and Development, Phagwara, India; Srivastava G., Brandon University, Department of Mathematics and Computer Science, MB, Canada; Bahubalendruni M.V.A.R., NIT Puducherry, Dept. of Mechanichal Engineering, Puducherry, India</text>
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                <text>The combination of artificial intelligence and Internet of Things (AIoT) technologies is changing precision agriculture by making it possible to automatically check the health of crops. Early detection of leaf diseases is still important for stopping yield losses, but regular convolutional neural networks (CNNs) often don't work as well when they have to deal with different textures, lighting changes, and noise on the field level. To address these constraints, this study presents HRL-ViT, a Human-Robot Collaborative Learning framework that utilizes Vision Transformers for leaf disease identification. The frame-work merges the global attention feature of Vision Transformers with a human-in-the-loop approach, wherein predictions with low confidence are validated by experts and used to improve the model over time. The system is also made for edge-based AIoT deployment, which lets you analyze data in real time in agricultural settings. Experimental research utilizing both benchmark datasets and field-acquired images demonstrates that HRL-ViT consistently surpasses baseline CNN and Transformer models, attaining superior accuracy, precision, and recall while minimizing false detections. Transformers' attention maps can be visualized to make them even easier to understand, which helps users trust them and make decisions. In general, HRL-ViT shows a lot of promise for use in autonomous robotic platforms. It offers an explainable and scalable way to find diseases in precision agriculture.  2025 IEEE.</text>
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                <text>Comparative optimization studies (Isp 4 vs isp 3 vs isp 2 media) of mangrovian streptomyces pluripotens anukcjv1 for its ?-amylase production and geographical correlation of mangrovian actinomycetes strains</text>
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                <text>Geography; Mangroves; ?-Amylase and Streptomyces pluripotens ANUKCJV1</text>
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                <text>Streptomyces pluripotens ANUKCJV1 was isolated from Coringa Mangroves which was located along the South Indian Delta. The Current work which was in continuation to our previously reported work which suggests that Streptomyces pluripotens ANUKCJV1 was the potential strain and the same has been subjected to comparative optimization studies in the current work by employing three media: ISP 4; ISP 3; ISP 2 media for enhanced ?-Amylase Production. Physico-Chemical variables viz Incubation period, PH, Temperature, Carbon and Nitrogen sources with respect to three different media (ISP 4, ISP 3 and ISP 2) were tested and cumulative analysis of three different media for differential bioactivity of ?-Amylase was done. Results suggest that ISP 4 found to be the best medium with cumulative value of 24.2 U/mL, where as the cumulative value of ISP 3 and ISP 2 were 19.3 U/mL and 19.4 U/mL respectively. Peptone as Nitrogen source of ISP 4 found to be the favourite Individual variable among all with production value of 8.0 U/mL. Geographical correlation with respect to number of Actinomycetes strains and ?-Amylase Bioactivity depicts that Distant geographical soil samples from the shore found to be favourable for higher number of Actinomycetes strains: A1 soil samples (~ 500 m)-33 %; A2 samples (~ 400 m)-22 %. With regard to ?-Amylase Bioactivity, A5 samples (~ 100 m) analysed to be the potential geographical bioactive zone for ?-Amylase Production. From the study it can be concluded that since ISP 4 found to be the favourite medium of the potential strain, by employing the same large scale exploration of the Streptomyces pluripotens ANUKCJV1 of the Coringa Mangroves may be done to tap the industrial benefits of ?-Amylase.  EM International.</text>
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                <text>Chand Basha S.K.; Sambasiva Rao K.R.S.; Venkatanagaraju E.</text>
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                <text>Ecology, Environment and Conservation, Vol-27, pp. S48-S57.</text>
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                <text>EM International</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117430336&amp;amp;partnerID=40&amp;amp;md5=5f903be8247b2aafe22ccc13cf0fe839" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117430336&amp;amp;partnerID=40&amp;amp;md5=5f903be8247b2aafe22ccc13cf0fe839&lt;/a&gt;</text>
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                <text>ISSN: 0971765X; CODEN: EECOF</text>
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                <text>Chand Basha S.K., Department of Zoology and Aquaculture, Acharya Nagarjuna University, Guntur, A.P., 522 510, India; Sambasiva Rao K.R.S., Mizoram Central University, Aizawal, Mizoram, 796 004, India; Venkatanagaraju E., Department of Life Sciences, CHRIST (Deemed to be University), Bengalore, Karnataka, 560 029, India</text>
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                <text>FEC &amp;amp; BCH: Study and implementation on VHDL</text>
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          <element elementId="49">
            <name>Subject</name>
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              <elementText elementTextId="187224">
                <text>BCH Codes; Channel Encoding; Forward Error Correction</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Channel encoding and Forward Error Correction is a crucial element of any communication system. This paper gives a brief overview of the fundamentals, mechanism and importance of Forward Error Correction. The design and implementation of a (63,36,5) BCH Codec is also projected in the later sections. All simulations are made on MATLAB R2018b and the VHDL implementations have been carried out using Xilinx Vivado 2018.2.  2019 IEEE</text>
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            <name>Creator</name>
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              <elementText elementTextId="187226">
                <text>Chand E.; Ashok Reddy C.; Aswathakumara M.</text>
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          <element elementId="48">
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            <elementTextContainer>
              <elementText elementTextId="187227">
                <text>Proceedings of the 3rd International Conference on Computing Methodologies and Communication, ICCMC 2019, pp. 952-957.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
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            <elementTextContainer>
              <elementText elementTextId="187228">
                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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            </elementTextContainer>
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            <name>Date</name>
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                <text>&lt;a href="https://doi.org/10.1109/ICCMC.2019.8819823" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICCMC.2019.8819823&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072761219&amp;amp;doi=10.1109%2FICCMC.2019.8819823&amp;amp;partnerID=40&amp;amp;md5=509bb536ba1da916e071a612b1bd4cb3" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072761219&amp;amp;doi=10.1109%2fICCMC.2019.8819823&amp;amp;partnerID=40&amp;amp;md5=509bb536ba1da916e071a612b1bd4cb3&lt;/a&gt;</text>
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            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="187231">
                <text>Restricted Access</text>
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            </elementTextContainer>
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                <text>ISBN: 978-153867808-4</text>
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            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
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              <elementText elementTextId="187233">
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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="187236">
                <text>Chand E., Dept. of ECE, Faculty of Engineering, CHRIST (Deemed to be University), Bengaluru, India; Ashok Reddy C., FPGA Design, Eldaas Technologies Pvt. Ltd, Bengaluru, India; Aswathakumara M., Dept. of ECE, Faculty of Engineering, CHRIST (Deemed to be University), Bengaluru, India</text>
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          <element elementId="50">
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                <text>Design and Verification of a Novel Anchor Shaped Double Negative Metamaterial Unit Cell</text>
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          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="177819">
                <text>double negative metamaterials; left-handed materials; metamaterial antennas; negative refractive index</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="177820">
                <text>In this manuscript, a novel anchor-shaped double negative metamaterial is proposed. The structure is designed to resonate at 2.45 GHz. The unit cell is designed on a 1.6 mm thick FR4 substrate having a dielectric constant of 4.4, and simulated using Ansys HFSS. The unit cell exhibits a double negative behavior and negative refractive index behavior. The robust and popularly used Nicolson-Ross-Weir and Transmission-Reflection methods were implemented on MATLAB to extract and validate the metamaterial characteristics. This novel metamaterial unit cell covers 1 GHz to 4.8 GHz which is one of the most extensively researched and employed bands of the electromagnetic spectrum. The bandwidth performance of this new structure for double negative behavior is compared to other unit cells. It shows better performance with comparable size and outperforms the other geometries. This metamaterial is well-suited for a wide range of applications like wireless communication, biomedical applications in ISM (2.4 GHz) band and 5G communication services in the sub-6 GHz range.   2022 IEEE.</text>
              </elementText>
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            <name>Creator</name>
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            <elementTextContainer>
              <elementText elementTextId="177821">
                <text>Chand E.; Suganthi S.</text>
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          </element>
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            <elementTextContainer>
              <elementText elementTextId="177822">
                <text>2022 IEEE Microwaves, Antennas, and Propagation Conference, MAPCON 2022, pp. 1043-1048.</text>
              </elementText>
            </elementTextContainer>
          </element>
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            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="177823">
                <text>Institute of Electrical and Electronics Engineers Inc.</text>
              </elementText>
            </elementTextContainer>
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            <name>Date</name>
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              <elementText elementTextId="177824">
                <text>2022-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1109/MAPCON56011.2022.10046906" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/MAPCON56011.2022.10046906&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149595320&amp;amp;doi=10.1109%2FMAPCON56011.2022.10046906&amp;amp;partnerID=40&amp;amp;md5=2a6c659898be0cab3789478d9d8501bc" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149595320&amp;amp;doi=10.1109%2fMAPCON56011.2022.10046906&amp;amp;partnerID=40&amp;amp;md5=2a6c659898be0cab3789478d9d8501bc&lt;/a&gt;</text>
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="177826">
                <text>Restricted Access</text>
              </elementText>
            </elementTextContainer>
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              <elementText elementTextId="177827">
                <text>ISBN: 978-166545203-8</text>
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            </elementTextContainer>
          </element>
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            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
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              <elementText elementTextId="177828">
                <text>Online</text>
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            <description>A language of the resource</description>
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              <elementText elementTextId="177829">
                <text>English</text>
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            <name>Type</name>
            <description>The nature or genre of the resource</description>
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                <text>Conference paper</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="177831">
                <text>Chand E., CHRIST University, Dept. of Electronics and Communication Engg, Karnataka, Bangalore, 560074, India; Suganthi S., CHRIST University, Dept. of Electronics and Communication Engg, Karnataka, Bangalore, 560074, India</text>
              </elementText>
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      <description>Faculty Publications -Articles</description>
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        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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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="116144">
                <text>Sustainable intensification of water guzzling crops: Identifying suitable cropping districts of India</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="116145">
                <text>Diversification; Groundwater development; Relative spread index; Relative yield index; Sustainability</text>
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                <text>With food sufficiency being achieved, emphasis of policy makers is now on to sustainable intensification in line with the objectives of Sustainable Development Goals (SDGs).Widening discrepancy between the water-resource supply and demand necessitates relook into the cropping pattern of the country.Based on district-level secondary data of area, productivity and level of groundwater extraction, this study aims to identify critical and potential area for cultivation of three major water-intensive crops, i.e.rice, wheat and sugarcane.Study found that 1.93 million ha of area under rice, mainly in north-western and western India, need a gradual shift.Nearly 43% of the rice cultivated area in eastern and north-eastern states of West Bengal, Odisha, Chhattisgarh and Assam has potential for further intensification of rice cultivation.In case of wheat, around 0.65 million ha of area, mostly in Rajasthan, is critical in terms of sustainability.Livestock is an integral part of agriculture in this region and hence diversification of wheat would require mixed strategy of shifting to alternative dual-purpose crops and wheat cultivation with water conservation technologies.Study ftirther found that around 13543 ha of sugarcane in mainly in western Uttar Pradesh and Tamil Nadu is deterring the groundwater resources.Recommendations emanating from the study include differentiates agricultural price policy, payment for ecosystem services and greater focus on productivity enhancement in eastern India.  2021 Indian Council of Agricultural Research. All rights reserved.</text>
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                <text>Chand P.; Rao S.; Agarwal P.; Jain R.</text>
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              <elementText elementTextId="116148">
                <text>Indian Journal of Agricultural Sciences, Vol-91, No. 8, pp. 1117-1121.</text>
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                <text>Indian Council of Agricultural Research</text>
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                <text>&lt;a href="" target="_blank" rel="noreferrer noopener"&gt;&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131625863&amp;amp;partnerID=40&amp;amp;md5=7570b19927f325f867c54b0c42f427ac" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131625863&amp;amp;partnerID=40&amp;amp;md5=7570b19927f325f867c54b0c42f427ac&lt;/a&gt;</text>
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                <text>ISSN: 195022; CODEN: IJASA</text>
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                <text>Chand P., ICAR-National Institute of Agricultural Economics and Policy Research, New Delhi, 110012, India; Rao S., Christ (Deemed to Be) University, Uttar Pradesh, Ghaziabad, India; Agarwal P., ICAR-National Institute of Agricultural Economics and Policy Research, New Delhi, 110012, India; Jain R., ICAR-National Institute of Agricultural Economics and Policy Research, New Delhi, 110012, India</text>
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                <text>Irrigation water policies for sustainable groundwater management in irrigated northwestern plains of India</text>
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              <elementText elementTextId="110669">
                <text>Agriculture; Groundwater management; Irri-gation; Sustainable intensification; Water pricing policies.</text>
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                <text>Increasing global water shortage emphasizes the need for demand-side water management policies, especially in the agriculture sector, being the largest consumer of freshwater. Such policies are relevant in India, where groundwater depletion may have severe implications at various socio-economic levels. In this study, using mathe-matical modelling, we assess the feasibility of two alter-native irrigation water pricing policies  (i) uniform wa-ter pricing policy and (ii) differentiated water pricing policy, wherein farmers growing less water-requiring crops (&amp;lt;4488 m3/ha) get an incentive for saving water, while those growing water-intensive crops pay for it. Us-ing a case study of Punjab, the breadbasket and one of the fastest groundwater-depleting states in India, alter-native cropping patterns are also suggested. The findings reveal that the current rate of groundwater withdrawal could not sustain agricultural intensification in the state. Although optimization of resource allocation has the pote-ntial to save water by 8%, this alone is unlikely to break the ricewheat mono-cropping pattern in Punjab. The analysis of two different volumetric irrigation water pricing policies shows that differentiated water pricing would be more effective in halting groundwater deple-tion in the state. However, adequate investment in irri-gation water supply infrastructure, mainly for installing water meters, is required to implement the policy.  2022, Current Science. All Rights Reserved.</text>
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              <elementText elementTextId="110671">
                <text>Chand P.; Singh J.M.; Sachdeva J.; Singh J.; Agarwal P.; Jain R.; Rao S.; Kaur B.</text>
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              <elementText elementTextId="110672">
                <text>Current Science, Vol-123, No. 10, pp. 1225-1231.</text>
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              <elementText elementTextId="110673">
                <text>Indian Academy of Sciences</text>
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              <elementText elementTextId="110675">
                <text>&lt;a href="https://doi.org/10.18520/cs/v123/i10/1225-1231" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.18520/cs/v123/i10/1225-1231&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143809992&amp;amp;doi=10.18520%2Fcs%2Fv123%2Fi10%2F1225-1231&amp;amp;partnerID=40&amp;amp;md5=b7f0f93080aeecfb8c714104bedf0ac4" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143809992&amp;amp;doi=10.18520%2fcs%2fv123%2fi10%2f1225-1231&amp;amp;partnerID=40&amp;amp;md5=b7f0f93080aeecfb8c714104bedf0ac4&lt;/a&gt;</text>
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="110676">
                <text>All Open Access; Gold Open Access</text>
              </elementText>
            </elementTextContainer>
          </element>
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              <elementText elementTextId="110677">
                <text>ISSN: 113891; CODEN: CUSCA</text>
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            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
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              <elementText elementTextId="110678">
                <text>Online</text>
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            <name>Language</name>
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            <elementTextContainer>
              <elementText elementTextId="110679">
                <text>English</text>
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              <elementText elementTextId="110681">
                <text>Chand P., ICAR-National Institute of Agricultural Economics and Policy Research, DPS Marg, Pusa, New Delhi, 110 012, India; Singh J.M., Department of Economics and Rural Sociology, Punjab Agricultural University, Ludhiana, 141 027, India; Sachdeva J., Department of Economics and Rural Sociology, Punjab Agricultural University, Ludhiana, 141 027, India; Singh J., Department of Economics and Rural Sociology, Punjab Agricultural University, Ludhiana, 141 027, India; Agarwal P., ICAR-National Institute of Agricultural Economics and Policy Research, DPS Marg, Pusa, New Delhi, 110 012, India; Jain R., ICAR-National Institute of Agricultural Economics and Policy Research, DPS Marg, Pusa, New Delhi, 110 012, India; Rao S., CHRIST University, Bannerghatta Main Road,Hulimavu, Bengaluru, 560 076, India; Kaur B., Department of Economics and Rural Sociology, Punjab Agricultural University, Ludhiana, 141 027, India</text>
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                <elementText elementTextId="3139">
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              <elementText elementTextId="227630">
                <text>Chand, Ananya</text>
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            </elementTextContainer>
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          <element elementId="50">
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            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="227631">
                <text>Navigating the Labyrinth: Trauma and Memory in Donna Tartts The Goldfinch and Nathan Hills The Nix</text>
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          </element>
          <element elementId="40">
            <name>Date</name>
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              <elementText elementTextId="227632">
                <text>01-01-2025</text>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="227633">
                <text>IUP Journal of English Studies;Volume;20;Issue;1;pp.118-128</text>
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          </element>
          <element elementId="43">
            <name>Identifier</name>
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              <elementText elementTextId="227634">
                <text>&lt;a href="https://doi.org/10.71329/IUPJES/2025.20.1.118-128" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.71329/IUPJES/2025.20.1.118-128&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105007192011?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105007192011?origin=resultslist&lt;/a&gt;</text>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <elementText elementTextId="227635">
                <text>Chand A., Christ (Deemed to be University), Central Campus, Karnataka, Bengaluru, India</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="41">
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              <elementText elementTextId="227636">
                <text>This paper delves into the intricate interplay between trauma and memory in 21st-century American fiction, with a specific focus on Donna Tartts The Goldfinch (2013) and Nathan Hills The Nix (2016). Through a comparative analysis of these novels, the study explores how characters navigate the labyrinthine complexities of trauma and its impact on memory, identity, and narrative construction. Grounded in the theoretical framework of Dan P McAdams Narrative Identity Theory, the study employs a rigorous interdisciplinary approach, synthesizing textual analysis with theoretical inquiry to illuminate the nuanced dynamics at play within the selected texts. The paper examines how trauma disrupts and reshapes memory, leading to fragmented recollections, haunting flashbacks, and the blurring of past and present. Additionally, it investigates how memory serves as a tool for both coping with and perpetuating trauma, shaping characters perceptions of themselves and the world around them.  2025 IUP. All Rights Reserved.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="227637">
                <text>Contemporary American literature; Empathy; Identity; Memory; Narrative identity theory; Trauma</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
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              <elementText elementTextId="227638">
                <text>IUP Publications</text>
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              <elementText elementTextId="227639">
                <text>ISSN: 9733728;</text>
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            <description>A language of the resource</description>
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              <elementText elementTextId="227640">
                <text>English</text>
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              <elementText elementTextId="227641">
                <text>Article</text>
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            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="227642">
                <text>Restricted Access; Hardcopy may be available in the library</text>
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  <item itemId="23429" public="1" featured="0">
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            <element elementId="50">
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                  <text>Faculty Publications</text>
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          <element elementId="39">
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              <elementText elementTextId="223058">
                <text>Chand, Elisha; Suganthi, Sellakkutti</text>
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          <element elementId="50">
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              <elementText elementTextId="223059">
                <text>Novel Ovate Antenna for Wireless Communication: Characteristic Mode and Time Domain Analyses</text>
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              <elementText elementTextId="223060">
                <text>01-01-2026</text>
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              <elementText elementTextId="223061">
                <text>Progress in Electromagnetics Research C;Volume;165;pp.140-149</text>
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            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="223062">
                <text>&lt;a href="https://doi.org/10.2528/PIERC25111701" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.2528/PIERC25111701&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105029163838?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105029163838?origin=resultslist&lt;/a&gt;</text>
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              <elementText elementTextId="223063">
                <text>Chand E., Christ University, Karnataka, Bangalore, 560084, India; Suganthi S., Christ University, Karnataka, Bangalore, 560084, India</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="223064">
                <text>In this article, a novel ovate-shaped microstrip antenna (OMSA) is presented for the application in wireless communication. It covers the evolution of a new shape and delves deeper into the resonance mechanism of the proposed design using characteristic mode analysis (CMA). The OMSA resonates at 2.45 GHz and 2.69 GHz with the return loss of ?18.82 dB and ?31.84 dB, respectively. It offers an ultra-wideband performance with 91.46% measured bandwidth. The characteristic impedance and VSWR at 2.4 GHz are 49 ? and 1.3, respectively. By introducing performance enhancement techniques such as ground truncation and a notch in the patch, the antenna resonance characteristics have been enhanced. A prototype of the proposed OMSA has been fabricated and validated experimentally. The time domain characteristics of the proposed OMSA have been simulated for both face-to-face (FtF) and side-by-side (SbS) configurations. The FtF configuration offers better performance, showcasing the group delay of the OMSA &amp;lt; 2 ns and minimal variation along the operating band. The phase linearity is also maintained, minimizing any distortions. The time domain results demonstrate a maximum fidelity factor of 90.62%, reaffirming the suitability of the antenna for wireless communication. The suitability of the proposed OMSA for wireless applications is also validated experimentally by analyzing the group delay and S21 phase linearity of the received signal.  2026, Electromagnetics Academy. All rights reserved.</text>
              </elementText>
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                <text>Free COOH-tethered layered Co(ii) framework and flexible composite as a size-reliant, tandem and robust catalyst for mild and scalable synthesis of bioactive molecules</text>
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                <text>Chand R., Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India, Inorganic Materials &amp;amp; Catalysis Division, CSIR-Central Salt &amp;amp; Marine Chemicals Research Institute, Gujarat, Bhavnagar, 364002, India; Mondal P.P., Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India, Inorganic Materials &amp;amp; Catalysis Division, CSIR-Central Salt &amp;amp; Marine Chemicals Research Institute, Gujarat, Bhavnagar, 364002, India; Muthukumar D., Department of Chemistry, Christ University, Karnataka, Bangalore, 560029, India; Pillai R.S., Department of Chemistry, Christ University, Karnataka, Bangalore, 560029, India, Analytical and Spectroscopy Division, ASCG/PCM, Indian Space Research Organization, Vikram Sarabhai Space Centre, Thiruvananthapuram, Kerala, 695022, India; Neogi S., Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India, Inorganic Materials &amp;amp; Catalysis Division, CSIR-Central Salt &amp;amp; Marine Chemicals Research Institute, Gujarat, Bhavnagar, 364002, India</text>
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                <text>Pore-functionalization in metalorganic frameworks (MOFs) through the immobilization of free carboxylic sites offers a promising strategy for designing high-performance materials with potential applications, including selective and benign chemical transformations. However, this feat is tricky because of their extreme tendency to coordinate with the concerned metal ions. Herein, we developed a layer-stacked and thermo-chemically stable two-dimensional MOF, encompassing flanked carboxylic acid and [Co2(COO)4] unit-decked porous channel, using a mixed-ligand approach. The guest-free structure serves as a one-of-a-kind superior heterogeneous catalyst for tricomponent KnoevenagelMichael condensation, yielding a multitude of 2-amino-3-cyano-4H-pyrans with low catalyst loading, short duration and mild temperature compared to the majority of reported materials. The role of Lewis and Brsted acidic sites in the MOF catalyst is comprehensively supported by control experiments, analyte-induced emission articulation, inferior activity of a task-specific site-truncated iso-skeletal framework, and density-functional theory results. Importantly, the MOF demonstrated the first-ever deacetalization multi-component reaction (MCR) with admirable and recyclable conversion under relatively green conditions. Besides covering twenty-two electronically diverse substrates, the MOF can synthesize nine bioactive pyrans with excellent yield and gram scale. Notably, fifteen 4H-pyrans are first-time characterized in their purest forms via X-ray crystallography besides other spectro-analytical studies. Larger-sized substrates failed to diffuse inside MOF's micropores and illustrate unprecedented molecular-dimension-mediated MCR. The in situ-grafted MOF inside melamine-foam (MF) yielded a reconfigurable composite that promotes this one-pot reaction with similar activity and reusability to that of the sole MOF and demarcates a paradigm shift toward cutting-edge sustainable catalysis over a practical platform. This journal is  The Royal Society of Chemistry, 2025</text>
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                <text>This chapter elaborates on how emerging technologies for artificial intelligence (AI) can help create social change and solve worldwide problems. The chapter brings to light the issue of ethical matters and responsible AI practices that should be considered to avoid technology usage by the vulnerable population to harden already present inequalities. This chapter also examines the role of AI in ensuring that quality education is accessible to all, in addressing poverty through innovative approaches, and in the amplification quest of human rights advocacy by marginalized groups. This chapter presents a complete picture of the impact of AI on humanitarianism, exemplifying the devices of new horizons and emphasizing the necessity of responsible and inclusive applications. This chapter provides findings and advice for researchers, practitioners, policymakers, and all interested parties who are involved in using the new technologies to make their world fairer and well-sustained. The chapter aims to comprehend the AI-humanitarianism nexus and simultaneously proclaim safety measures and transparency for the sake of social upheaval.  2025 selection and editorial matter, Adeyemi Abel Ajibesin and Narasimha Rao Vajjhala; individual chapters, the contributors.</text>
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                <text>Chanda N.; Gupta I.</text>
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                <text>AI for Humanitarianism: Fostering Social Change Through Emerging Technologies, pp. 155-166.</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216653361&amp;amp;doi=10.1201%2F9781003479109-12&amp;amp;partnerID=40&amp;amp;md5=9052b2710105fcd9449a10e00bd81921" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216653361&amp;amp;doi=10.1201%2f9781003479109-12&amp;amp;partnerID=40&amp;amp;md5=9052b2710105fcd9449a10e00bd81921&lt;/a&gt;</text>
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                <text>Chanda N., Department of Media Studies, Christ University, Bangalore, India; Gupta I., Department of Media Studies, Christ University, Bangalore, India</text>
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