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                <text>Rock abrading in South India /</text>
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                <text>Encyclopedia of Global Archaeology, pp.1-10</text>
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                <text>R.Arjun</text>
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                <text>A top-down approach for studying the in-silico effect of the novel phytocompound tribulusamide B on the inhibition of Nipah virus transmission through targeting fusion glycoprotein and matrix protein</text>
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                <text>The proteins of Nipah virus ascribe to its lifecycle and are crucial to infections caused by the virus. In the absence of approved therapeutics, these proteins can be considered as drug targets. This study examined the potential of fifty-three (53) natural compounds to inhibit Nipah virus fusion glycoprotein (NiV F) and matrix protein (NiV M) in silico. The molecular docking experiment, supported by the principal component analysis (PCA), showed that out of all the phytochemicals considered, Tribulusamide B had the highest inhibitory potential against the target proteins NiV F and NiV M (-9.21 and ?8.66 kcal mol?1, respectively), when compared to the control drug, Ribavirin (-7.01 and ?6.52 kcal mol?1, respectively). Furthermore, it was found that Tribulusamide B pharmacophores, namely, hydrogen donors, acceptors, aromatic and hydrophobic groups, contributed towards the effective residual interactions with the target proteins. The molecular dynamic simulation further validated the results of the docking studies and concluded that Tribulusamide B formed a stable complex with the target proteins. The data obtained from MM-PBSA study further explained that the phytochemical could strongly bind with NiV F (-31.26 kJ mol?1) and NiV M (-40.26 kJ mol?1) proteins in comparison with the control drug Ribavirin (-13.12 and ?13.94 kJ mol?1, respectively). Finally, the results indicated that Tribulusamide B, a common inhibitor effective against multiple proteins, can be considered a potential therapeutic entity in treating the Nipah virus infection.  2024 Elsevier Ltd</text>
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                <text>Rababi D.; Nag A.</text>
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                <text>Computational Biology and Chemistry, Vol-112</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.compbiolchem.2024.108135" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.compbiolchem.2024.108135&lt;/a&gt;
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                <text>Rababi D., Department of Life Sciences, Christ University (Deemed to be University), Karnataka, Bangalore, 560029, India; Nag A., Department of Life Sciences, Christ University (Deemed to be University), Karnataka, Bangalore, 560029, India</text>
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                <text>Evaluation of therapeutic potentials of selected phytochemicals against Nipah virus, a multi-dimensional in silico study</text>
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                <text>Drug-likeliness; In silico; Molecular docking; Nipah virus; Phytochemicals; Simulation; Statistics</text>
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                <text>The current study attempted to evaluate the potential of fifty-three (53) natural compounds as Nipah virus attachment glycoprotein (NiV G) inhibitors through in silico molecular docking study. Pharmacophore alignment of the four(4) selected compounds (Naringin, Mulberrofuran B, Rutin and Quercetin 3-galactoside) through Principal Component Analysis (PCA) revealed that common pharmacophores, namely four H bond acceptors, one H bond donor and two aromatic groups were responsible for the residual interaction with the target protein. Out of these four compounds, Naringin was found to have the highest inhibitory potential ( 9.19kcalmol?1) against the target protein NiV G, when compared to the control drug, Ribavirin ( 6.95kcalmol?1). The molecular dynamic simulation revealed that Naringin could make a stable complex with the target protein in the near-native physiological condition. Finally, MM-PBSA (Molecular Mechanics-PoissonBoltzmann Solvent-Accessible Surface Area) analysis in agreement with our molecular docking result, showed that Naringin ( 218.664kJmol?1) could strongly bind with the target protein NiV G than the control drug Ribavirin ( 83.812kJmol?1).  2023, King Abdulaziz City for Science and Technology.</text>
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                <text>Rababi D.; Nag A.</text>
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                <text>3 Biotech, Vol-13, No. 6</text>
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                <text>ISSN: 2190572X</text>
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                <text>Rababi D., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore Central Campus, Bangalore, India; Nag A., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore Central Campus, Bangalore, India</text>
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                <text>Crime profoundly impacts individuals, communities, and families. Technological advancements have provided perpetrators with new opportunities for criminal activities. The primary objective of the police department is to resolve crimes, ensuring justice for the victims. Additionally, preventing such incidents is crucial for creating a safer world. The landscape of criminal justice has undergone a significant shift with the integration of machine learning techniques, unlocking unparalleled potential for accuracy and efficiency. This study thoroughly examines the concept of various applications of machine learning in crime detection, prediction, and prevention. We examine the evolution of these technologies, from early developments to state- of-the-art methodologies, conducting a thorough analysis of their strengths, limitations, and ethical considerations. Moreover, the paper sheds light on crimes discussed in academic circles, serving as a repository for scholars and researchers. This facilitates informed discussions and guides future research endeavours.  2024 IEEE.</text>
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                <text>Rachana N.; Norton Stanley S.A.; Sandeep J.; Sreeja C.S.</text>
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                <text>Proceedings of International Conference on Communication, Computer Sciences and Engineering, IC3SE 2024, pp. 68-74.</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>investment banking; knowledge management; machine learning and industrial revolution; Personal intelligent assistants; structural equation modelling</text>
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                <text>Purpose: The studys objective focuses on investigating the involvement of Personal Intelligent Assistants (PIAs) in the Knowledge Management Process (KMP) in Investment Banking Companies leading to Industrial Revolution 5.0 leading to effective Organizational Knowledge Management. Design/Methodology: A Self-administered Survey Questionnaire was circulated to 695 employees of Investment Banking Companies operating in Bangalore, Mumbai, Delhi, Hyderabad, Chennai, and Pune using the Cluster Sampling method. The Covariance-based Structural Equation Modelling (CB-SEM) and Gradient Boosting Regression technique of Machine Learning were used to validate the hypothesis through JASP V.18 Software. Knowledge Creation, Knowledge Sharing, Knowledge Retrieval, Knowledge Application, and Organizational Knowledge Management are the crucial constructs considered in the study. Findings: The results revealed that Knowledge Application is the most influencing factor in effective organizational Knowledge management among the Investment Banks followed by Knowledge Sharing. It also emphasizes that they have a weak Knowledge retrieval process and minimal efforts taken to create knowledge within these banks. Implications: The PIAs can facilitate effective Data Analysis and research in managing vast data eliminating the repeated tasks in portfolio reconciliation and offering personalized recommendations to manage portfolios. It enables in compliance, risk management, client relationship management, real-time monitoring and leveraged decision-making through predictive analysis.  The Author(s) 2024.</text>
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                <text>Radhakrishna V., Mount Carmel College, School of Commerce, Bangalore, India; Ravi H.; Elango S., CHRIST (Deemed to be University), Karnataka, Bangalore, India; Divyashree V., CHRIST (Deemed to be University), Karnataka, Bangalore, India; Jaganathan A., CHRIST (Deemed to be University), Karnataka, Bangalore, India; Ponnusamy M., Sona College of Technology, Tamil Nadu, Salem, India</text>
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                <text>"One word of truth will outweigh the entire world." These were the words of Alexander Solzhenitsyn while accepting the Nobel Prize in 1974. The twentieth century was the bloodiest century in human history, thanks largely to two ideologies - Fascism and Marxism. While there have been numerous studies on Nazi Germany, there have been relatively few on what transpired in Soviet Russia. This paper examines the contributions of the Russian writer and philosopher Alexander Solzhenitsyn to the understanding of the workings of totalitarianism. Solzhenitsyn wrote numerous works like The First Circle, Cancer Ward and The Gulag Archipalego. This paper will be examining his major work called One Day in the Life of Ivan Denisovich. The main intention is to probe the ethical concerns that the writer raises in this work, along with his deep understanding of human nature. This paper also seeks to compare Solzhenitsyn's views with that of thinkers like Jean Paul Sartre and Vaclav Havel. The key query here will be the essence-existence debate that Sartre initiated in his seminal work 'Existentialism Is a Humanism' and an attempt will be made to show how Havel and Solzhenitsyn would differ from Sartre. Finally there will be an attempt to establish how Solzhenitsyn reaffirms Lev Tolstoy's theory of history, according to which history is a process where 'great individuals' play a minimal role.  2013 Journal of Dharma: Dharmaram Journal of Religions and Philosophies (Dharmaram Vidya Kshetram, Bangalore).</text>
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                <text>As the global demand for seafood surges, the expanding aquaculture industry faces a pressing need for viable aquafeed ingredients. The raw material for fish oil is limited and expensive due to unpredictable fishery resources in the fishing zones and the overexploitation of wild fisheries, underscoring the urgency of finding alternatives. This review explores diverse plant oil sources, including soybean, rapeseed, linseed, and algal oils, emphasizing their crucial role in nutritionally balanced aquafeeds. These oils support aquatic animals growth, health, and development, influencing membrane structure, energy storage, and hormone production. Genetically modified oilseeds (GM), such as camelina and canola, offer a controlled nutrient content, enabling customized nutrient profiles. This comprehensive review provides an overview of different plant oil sources, elucidates their nutrient profiles, and assesses their potential applications in aquaculture. The discussion encompasses their impact on growth, feed efficiency, lipid profile, health, immunological status, disease resistance, and overall performance of both freshwater and marine fish. Furthermore, the review compiles relevant data on the current status of genetically modified plant oils and explores their potential integration into aquaculture practices. In summary, substituting plant oils for fish oil in aquafeed presents a promising solution to aquaculture industry challenges to meet nutritional requirements for fish.  The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.</text>
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                <text>Radhakrishnan D.K., Department of Zoology, Bharathiar University, Tamilnadu, Coimbatore, India; AkbarAli I., Department of Zoology, Bharathiar University, Tamilnadu, Coimbatore, India; Velayudhannair K., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore Central Campus, Hosur Main Road, Karnataka, Bengaluru, 560 029, India; Kari Z.A., Department of Agricultural Sciences, Faculty of Agro-Based Industry, Universiti Malaysia Kelantan, Jeli Campus, Jeli, Malaysia; Liew H.J., Higher Institution Centre of Excellence (HICOE), Institute of Tropical Aquaculture and Fisheries, Universiti Malaysia Terengganu, Terengganu, Kuala Nerus, 21030, Malaysia, Heliongjiang River Fisheries Research Institute, Chinese Academy of Fisheries Sciences, Harbin, China</text>
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                <text>Pedagogy sharpens and complements hermeneutics to form the prolegomena statement for this chapter. The chapter undertakes two approaches: It deals with closer understanding of the text in depth and also explains the findings of the text for pedagogical applications. The science of interpretations will provide a proliferation of meanings and interpretations. The lessons from pedagogy will facilitate a lot of assistance for academic and teaching purposes. Radhakrishnan Nair's hermeneutic keys and Justin Joy's pedagogic tips form the crux of the matter in the research paper. Here, research in case studies culminate in some useful findings related to comprehension and conception of case as text. However, quite legitimately the research demands a specialist partner in complementary pedagogical research, which compels to find a research association from the management faculty, at once competent in pedagogy. Justin Joy shares and resolves the problems Nair has confronted with.  2023 by IGI Global. All rights reserved.</text>
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                <text>Dharma, through its role as a moral ideal and through its manifestations that permeate every part of the society, binds all the individuals in Manu's society as envisaged in Manusmrti. It serves as a common value and dictates common goals for the people that could be attained by functioning for the good of the institutions they belong to and, ultimately, for the survival of the society. Social institutions like marriage, family, varna system, as?rama system, political system and legal system were structured with accurate positions and roles for their efficient and smooth functioning. They were made to function compatibly with each other to ensure the survival of the society. Manu carefully avoided conflicts and competitions in the society. Thus, by acting as a cohesive agent, Dharma, as a foundational moral principle, integrates both individuals and the institutions to maintain the equilibrium of Manu's state.  2013 Journal of Dharma: Dharmaram Journal of Religions and Philosophies (Dharmaram Vidya Kshetram, Bangalore), ISSN: 0253-7222.</text>
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                <text>Journal of Dharma, Vol-38, No. 4, pp. 399-418.</text>
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                <text>ISSN: 2537222</text>
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                <text>Radhakrishnan V.K., Department of Philosophy, Christ University, Bangalore, India</text>
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                <text>Fairytales have been known to create a beautiful world around us. Children have read it or heard it as bed time stories which lead them to dream, create their own fantasies or become a princess who waits for her Prince Charming. Through the passage of time these fairytales have undergone numerous changes with each being of them being of great significance to the norms and culture in place for the society that was in place at the time.</text>
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              <elementText elementTextId="13009">
                <text>Master of Arts in Media and Communication Studies</text>
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                <text>CHRIST (Deemed To Be University)</text>
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                <text>Department of Media Studies</text>
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                <text>Solar radiative heat-driven Sakiadis flow of a dusty nanoliquid with Brownian motion and an exponential space-based heat source: KooKleinstreuerLi (KKL) model</text>
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          <element elementId="49">
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              <elementText elementTextId="126256">
                <text>Brownian motion; dusty fluid; exponential space-related heat source parameter; KKL model; nanoliquid; nanoparticles; thermal radiation</text>
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                <text>The advancement of heat transportation is a significant phenomenon in nuclear reactors, solar collectors, heat exchangers, and electronic coolers; and it can be accomplished by choosing ananofluid as the functional fluid. Nanofluids haveimproved thermophysical properties, dueto theirgreat progress in engineering and industrial applications. Therefore here, the significance of exponential space-related heat source (ESHS) on radiative heat motivated Sakiadis two-phase flow over a moving plate is analyzed for a particulate nanoliquid (CuOH2O). The impact of the haphazard motion of nanoparticles is analyzed through the KooKleinstreuerLi model. On applying a similarity transformation to the governing equations, a set of ordinary differential equations is obtained and numerically solved. Through the perception of graphs, the behavior of the velocity and temperature constraints for diverse values of effective parameters is decoded. The results showthat the temperature of both phases (dust and fluid) improves with the ESHS aspect. Also, the heat transport rate/friction factor enhances/declines with the concentration of dust particles.  2020 Wiley Periodicals LLC</text>
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              <elementText elementTextId="126258">
                <text>Radhika M.; Mahanthesh B.; Siddabasappa; Thriveni K.</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Heat Transfer</text>
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              <elementText elementTextId="126260">
                <text>John Wiley and Sons Inc</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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              <elementText elementTextId="126261">
                <text>2020-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1002/htj.21925" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1002/htj.21925&lt;/a&gt;
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            <name>Rights</name>
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              <elementText elementTextId="126263">
                <text>Restricted Access</text>
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              <elementText elementTextId="126264">
                <text>ISSN: 26884534</text>
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            <name>Language</name>
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                <text>Radhika M., Department of Mathematics, Government First Grade College, Kolar Gold Field, Karnataka, India; Mahanthesh B., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, Karnataka, India; Siddabasappa, Department of Mathematics, Government Science College, Bengaluru, Karnataka, India; Thriveni K., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, Karnataka, India</text>
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      <description>Faculty Publications -Articles</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="99117">
                <text>Soft Computing Approaches for Maximum Power Point Tracking of Solar PV System</text>
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          <element elementId="49">
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            <description>The topic of the resource</description>
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              <elementText elementTextId="99118">
                <text>Artificial Bee Colony Optimization; Cascaded DC/DC Converter; Flying Squirrel Search Optimization; Maximum Power Point Tracking Technique; Photovoltaic System</text>
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              <elementText elementTextId="99119">
                <text>Solar power changes according to irradiance and temperature in a day. A Maximum Power Point Tracking (MPPT) algorithm is actually necessary to obtain the maximum power from the photovoltaic (PV) arrangement. In this paper, in order to optimize power and improve the efficiency of PV module with regulated output voltage, soft computing MPPT techniques, flying squirrel search optimization and artificial bee colony methods are implemented on cascaded double voltage lift boost converter. The PV module is subjected to both with and without constraints to analyze the performance of the DC/DC converter, and the comparative outcomes are evaluated for resistive and different types of battery loads at various temperature conditions in MATLAB/Simulink platform. The optimized power is achieved by using artificial bee colony technique with less ripple in the output waveforms at constant 25 C temperature irrespective of the changes in irradiation with the battery load and this can be used for charging of the battery system.  2023 Praise Worthy Prize S.r.l.-All rights reserved.</text>
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                <text>Radhika S.; Margaret V.</text>
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              <elementText elementTextId="99121">
                <text>International Review of Electrical Engineering, Vol-18, No. 6, pp. 430-438.</text>
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              <elementText elementTextId="99122">
                <text>Praise Worthy Prize S.r.l</text>
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                <text>2023-01-01</text>
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                <text>Radhika S., Department of Electrical and Electronics Engineering, Bangalore Institute of Technology, School of Engineering and Technology, Christ University, Bengaluru, India; Margaret V., Department of Electrical and Electronics Engineering, Bangalore Institute of Technology, School of Engineering and Technology, Christ University, Bengaluru, India</text>
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                <text>Photovoltaic system is the low-cost source of electrical power in high solar energy regions. The benefits of PV system are like nonpolluting and minimum maintenance. Solar energy changes as per irradiance and temperature and also one factor which reduces the power output is the partial shading in the cells. Hence f o r th, various algo rith ms a r e p u t fo rth to obta in t h e maximum power f r o m t h e PV arrangement and dc-dc converters intend to regulate the supply. The concept of micro grid is emerging as an excellent solution for inter connecting renewable energy sources and loads. DC micro grid is a necessity in today's world. There is wide increase in usage of DC systems in commercial, residential and industrial systems. DC micro grids are dominant in reliability, control and efficiency. Direct current architectures will be used in demand in the future electrical distribution systems. This paper reviews on all above concepts to be used in DC micro grid for future DC applications.  Published under licence by IOP Publishing Ltd.</text>
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                <text>All Open Access; Gold Open Access</text>
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                <text>Radhika S., School of Engineering and Technology, Department of Electrical and Electronics Engineering, CHRIST, Deemed to Be University, Bangalore, India; Margaret V., School of Engineering and Technology, Department of Electrical and Electronics Engineering, CHRIST, Deemed to Be University, Bangalore, India</text>
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                <text>A Comparative Assessment of Cascaded Double Voltage Lift Boost Converter</text>
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                <text>In several power conversion applications, dc-dc boost converters with voltage boost techniques are extensively used in order to meet the growing power demand. The main drawback of conventional dc-dc boost converter is obtaining high DC voltages, when operated at high duty ratio which causes switching losses and decreases overall efficiency because of the switch being used to be in 'ON' state for long time and voltage stresses across switch increases. The main objective of proposed converter is to obtain high voltage without extreme duty ratio. When input voltage of 15V DC is given, 201.1V DC output voltage is attained at duty ratio of 0.4 by the cascaded double voltage lift boost converter. To validate the performance of proposed converter, simulation is carried out in LTspice XVII and a comparative assessment of proposed converter with other converters at different duty ratio are realized.  2020 IEEE.</text>
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                <text>Radhika S.; Margaret V.</text>
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                <text>Proceedings - 2020 5th International Conference on Research in Computational Intelligence and Communication Networks, ICRCICN 2020, pp. 177-180.</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/ICRCICN50933.2020.9296190" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICRCICN50933.2020.9296190&lt;/a&gt;
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                <text>Radhika S., CHRIST (Deemed to Be University), Department of Electrical and Electronics Engineering, Bangalore, India; Margaret V., CHRIST (Deemed to Be University), Department of Electrical and Electronics Engineering, Bangalore, India</text>
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                <text>Enhancing rainwater harvesting and groundwater recharge efficiency with multi-dimensional LSTM and clonal selection algorithm</text>
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              <elementText elementTextId="80756">
                <text>Clonal selection algorithm; Multi-dimensional LSTM; Rainwater harvesting; Resource optimization; Sustainability; Water management; Water scarcity mitigation</text>
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              <elementText elementTextId="80757">
                <text>Rainwater harvesting stands out as a promising solution to alleviate water scarcity and alleviate pressure on conventional water reservoirs. This work introduces a pioneering strategy to elevate the efficiency of rainwater harvesting systems through the fusion of Multi-Dimensional Long Short-Term Memory (LSTM) networks and the Clonal Selection Algorithm (CSA). The Multi-Dimensional LSTM networks serve to model intricate temporal and spatial rainfall patterns, enabling precise predictions regarding the optimal times and locations for rainwater abundance. This insight is pivotal in refining the design and operation of rainwater harvesting setups. Drawing inspiration from the immune system, the Clonal Selection Algorithm is employed to optimize site selection and resource allocation, ensuring the maximal utilization of harvested rainwater. The adaptability and robustness of CSA prove invaluable in tackling the dynamic nature of rainfall patterns. This research endeavor is dedicated to enhancing groundwater levels and optimizing its sources through the implementation of efficient harvesting techniques. By delving into innovative methodologies, it aims to contribute significantly to sustainable water management practices and ensure a reliable supply of groundwater for various societal needs. The experiments are conducted to study the effectiveness of rainwater harvesting systems, where the proposed method achieves increased efficiency, thereby reducing dependence on conventional water sources and contributing to sustainable water management practices. The proposed CSA-LSTM model demonstrates superior performance compared to ACO-ANN and PSO-BPNN, achieving higher training, testing, and validation accuracies while exhibiting lower training, testing, and validation losses. Additionally, CSA-LSTM showcases excellent site suitability, high resource utilization, and robustness to changes, with a fast response time, emphasizing its potential for efficient and effective applications.  2024 Elsevier B.V.</text>
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                <text>Raghava Rao N.; Pokkuluri Kiran S.; Amena I T.; Senthilkumar A.; Sivakumar R.; Ashok Kumar M.; Velusamy S.</text>
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                <text>Groundwater for Sustainable Development, Vol-25</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.gsd.2024.101167" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.gsd.2024.101167&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189021911&amp;amp;doi=10.1016%2Fj.gsd.2024.101167&amp;amp;partnerID=40&amp;amp;md5=6d346877ff14cf448e7e80b8efab687d" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189021911&amp;amp;doi=10.1016%2fj.gsd.2024.101167&amp;amp;partnerID=40&amp;amp;md5=6d346877ff14cf448e7e80b8efab687d&lt;/a&gt;</text>
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                <text>ISSN: 2352801X</text>
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                <text>Raghava Rao N., Department of Information Technology, Institute of Aeronautical Engineering, Dundigal, Hyderabad, 500043, India; Pokkuluri Kiran S., Department of Computer Science and Engineering, Shri Vishnu Engineering College for Women, Vishnupur, AP, Bhimavaram, India; Amena I T., Department of Civil Engineering, Deogiri College of Engineering and Management (DIETMS), Maharashtra, Aurangabad, India; Senthilkumar A., School of Science and Information Technology, Skyline University Nigeria, Kano State, Nigeria; Sivakumar R., Department of Statistics and Data Science, CHRIST(Deemed to be University), Bangalore, India; Ashok Kumar M., Department of Computer Science and Software Engineering, Skyline University Nigeria, Kano, Nigeria; Velusamy S., Department of Civil Engineering, Kongu Engineering College, Perundurai, 638060, India</text>
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