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                <text>Graphs on groups in terms of the order of elements: A review</text>
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                <text>Coprime graph; non-coprime graph; order divisor graph; order graph; order prime divisor graph; order product prime graph; order sum graph; order super graph; prime coprime graph</text>
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                <text>Two mathematical fields that concentrate on creating and analyzing structures are algebra and graph theory. There are numerous studies linking algebraic structures like groups, rings, fields and vector spaces with graph theory. Several algebraic graphs have been defined based on the properties of the order of the group and its elements. In this paper, we systematically review the literature on such graphs to understand the research dynamics in the field.  2024 World Scientific Publishing Company.</text>
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                <text>Madhumitha S.; Naduvath S.</text>
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                <text>Discrete Mathematics, Algorithms and Applications, Vol-16, No. 3</text>
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                <text>Madhumitha S., Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Naduvath S., Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India</text>
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                <text>Graphs Defined on Rings: A Review</text>
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                <text>absorption Cayley; divisor Cayley graphs; Euler totient Cayley graphs; involutory Cayley graphs; mixed unitary Cayley graphs; nilpotent Cayley graphs; quadratic residue Cayley graphs; unit graphs; unitary addition Cayley graphs; unitary Cayley graphs; zero-divisor Cayley graphs</text>
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                <text>The study on graphs emerging from different algebraic structures such as groups, rings, fields, vector spaces, etc. is a prominent area of research in mathematics, as algebra and graph theory are two mathematical fields that focus on creating and analysing structures. There are numerous studies linking algebraic structures and graphs, which began with the introduction of Cayley graphs of groups. Several algebraic graphs have been defined on rings, a fast-growing area in the literature. In this article, we systematically review the literature on some variants of Cayley graphs that are defined on rings and highlight the properties and characteristics of such graphs, to showcase the research in this area.  2023 by the authors.</text>
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                <text>Mathematics, Vol-11, No. 17</text>
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                <text>&lt;a href="https://doi.org/10.3390/math11173643" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.3390/math11173643&lt;/a&gt;
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                <text>Madhumitha S., Department of Mathematics, CHRIST (Deemed to Be University), Bangalore, 560029, India; Naduvath S., Department of Mathematics, CHRIST (Deemed to Be University), Bangalore, 560029, India</text>
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                <text>Numerical study on magnetohydrodynamics micropolar Carreau nanofluid with Brownian motion and thermophoresis effect</text>
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                <text>Finite difference method; Magnetohydrodynamics; Micropolar Carreau nanofluid; Nonlinear thermal radiation, joule heating</text>
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                <text>The current work explores the investigation of the influence of nonlinear thermal radiation on unsteady, magnetohydrodynamics boundary layer flow of micropolar Carreau nanofluid past a stretching sheet. Viscous dissipation, internal heating, Brownian motion, heat source/sink, thermophoresis, chemical reaction, and Joule heating effects are considered in the study. To analyze the model, the governing partial differential equations are rephrased and written in the non-dimensional form with the relevant dimensionless quantities. To obtain the solutions, the nonlinear non-dimensional governing equations are numerically solved using finite difference approximation. The impact of every significant flow parameter on fluid motion, micro-rotation, temperature, concentration, surface drag, heat, and mass transfer rates are presented through plotted graphs and tables. It is noted from the study that the fluid flow and angular motion increase, whereas the temperature declines with higher values of the micropolar constant. Further, it is noticed that thermal distribution is a rising function of radiation parameter, and due to the nonlinear thermal radiation effect, there is an increase of 4.903% in temperature distribution when compared to linear thermal radiation. To support the validity of the solutions, a comparison was made with notable results from the existing literature for the specific case of this study.  2023 Informa UK Limited, trading as Taylor &amp;amp; Francis Group.</text>
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                <text>Madhura K.R.; Babitha</text>
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                <text>International Journal of Modelling and Simulation</text>
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                <text>Taylor and Francis Ltd.</text>
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                <text>&lt;a href="https://doi.org/10.1080/02286203.2023.2234240" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1080/02286203.2023.2234240&lt;/a&gt;
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                <text>Madhura K.R., Post Graduate Department of Mathematics, The National College, Karnataka, Bangalore, India, Trans - Disciplinary Research Centre, National Degree College, Florida International University, Basavanagudi, Miami, United States; Babitha, Department of Mathematics, CHRIST (Deemed to Be University), Karnataka, Bengaluru, India</text>
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                <text>Assessment of SERVQUAL Model in Hospitals Located in Tier II Cities of India</text>
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                <text>gap score; information systems in healthcare; service quality; SERVQUAL model; Tier II cities</text>
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                <text>Service quality, being an assessment of services offered to a customer or the extent to which the services offered meets customers expectations, plays a significant role in healthcare industry. Patients pay hefty prices for the services they avail from specialty hospitals and they demand quality services. Hospitals have a larger challenge in delivering these services effectively to the patients. The current study helps us understand the role of information systems in service delivery process. Most of the hospitals have adopted healthcare information systems due to the benefit it provides. The study attempts to analyze the impact of information systems on service quality in the hospitals which are located in Tier II cities. The popular SERVQUAL model is adopted for this purpose. Patients who visit the hospitals were part of the respondent group. Gap score is found in order to observe the expected and actual experience of the patients based on five dimensions.  2018,  2018 Indian Institute of Health Management Research.</text>
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                <text>Madhura Prabhu A.; Iyer L.S.</text>
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                <text>Journal of Health Management, Vol-20, No. 1, pp. 28-37.</text>
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                <text>Madhura Prabhu A., Institute of Management, Christ University, Bengaluru, Karnataka, India; Iyer L.S., Institute of Management, Christ University, Bengaluru, Karnataka, India</text>
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                <text>Extractive Text Summarization Using Sentence Ranking</text>
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                <text>Madhuri J.N., Dept. of Computer science and Engineering, CHRIST, Deemed to be University, Bangalore, India; Ganesh Kumar R., Dept. of Computer science and Engineering, CHRIST, Deemed to be University, Bangalore, India</text>
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                <text>Abusive Words Detection on Reddit Comments Using Machine Learning Algorithms</text>
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                <text>Abuse words; CNN; Gradient Boosting Machine and random forest; SVM; XGB classifier</text>
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                <text>Utilization of artificial intelligence contributes to the efficient examination of emotions, resulting in valuable insights into the psychological condition of users on a large scale. In this research endeavor, sentiment analysis is conducted on a dataset from Reddit, which was obtained through Kaggle. The feedback in this collection of data was divided into downbeat, neutral, and upbeat sentiments. Various machine learning techniques, like Random Forest, Extreme Gradient Boosting Classifier (XGB), Gradient Boosting Machine (GBM), Support Vector Machine (SVM), and Convolutional Neural Network (CNN), were detected and examined to assess their effectiveness in sentiment classification. The review of these techniques comprised performance criteria such as F1 Score, accuracy, precision, and recall. Additionally, confusion matrices were utilized to assess the algorithms' proficiency in identifying abusive language. The investigation's conclusions indicate that, when it comes to sentiment analysis, the random forest method performs better than any other strategy, with a maximum accuracy of 0.99 that is on par with the CNN model's accuracy of 0.98. Moreover, random forest proves to be the most effective algorithm in recognizing negative comments and abusive language. This study underscores the significance of employing machine learning algorithms in sentiment analysis, content moderation, social media monitoring, and customer feedback analysis, emphasizing their role in enhancing automated systems that aim to comprehend user sentiments in online discussions.   2024 IEEE.</text>
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                <text>Proceedings - 2nd IEEE International Conference on Device Intelligence, Computing and Communication Technologies, DICCT 2024, pp. 312-317.</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>ISBN: 979-835037284-7</text>
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                <text>Madhurima S., Computer Science and Engineering Christ (Deemed to Be University), Karnataka, Bangalore, India; Abhijith Ajith K., Computer Science and Engineering Christ (Deemed to Be University), Karnataka, Bangalore, India; Vs S., Computer Science and Engineering Christ (Deemed to Be University), Karnataka, Bangalore, India; Prathap B.R., Computer Science and Engineering Christ (Deemed to Be University), Karnataka, Bangalore, India</text>
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                <text>The Road to Reducing Vehicle CO2 Emissions: A Comprehensive Data Analysis</text>
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                <text>CO2 Emissions; Data Analysis; Pollution; Road Transport</text>
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                <text>In recent years, the influence of carbon dioxide (CO2) releases on the environment have become a major concern. Vehicles are one of the major sources of CO2 emissions, and their contribution to climate change cannot be ignored. This research paper aims to investigate the CO2 emissions of vehicles and compare them with different types of engines, fuel types, and vehicle models. The study was carried out by gathering information about the CO2 emissions of vehicles from the official open data website of the Canadian government. Data from a 7-year period are included in the dataset, which is a compiled version. There is a total of 220 cases and 9 variables. The data is analyzed using statistical methods and tests to identify the significant differences in CO2 emissions among different Car Models. The results indicate that vehicles with diesel engines emit higher levels of CO2 compared to those with gasoline engines. Electric vehicles, on the other hand, have zero CO2 emissions, making them the most environmentally friendly option. Furthermore, the study found that the CO2 emissions of vehicles vary depending on the type of fuel used. The study also reveals that the CO2 emissions of vehicles depend on the model and age of the vehicle. Newer models tend to emit lower levels of CO2 compared to older models. In conclusion, this study provides valuable insights into the CO2 emissions of Cars and highlights the need to adopt cleaner and more sustainable transportation options.  The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.</text>
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                <text>Madhurima S.; Mannooparambil J.M.; Kumar K.P.</text>
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                <text>Communications in Computer and Information Science, Vol-1973 CCIS, pp. 299-309.</text>
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                <text>Springer Science and Business Media Deutschland GmbH</text>
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                <text>&lt;a href="https://doi.org/10.1007/978-3-031-50993-3_24" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-3-031-50993-3_24&lt;/a&gt;
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                <text>ISSN: 18650929; ISBN: 978-303150992-6</text>
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                <text>The usage of transition metal carbide-based electrocatalysts has proven to be an efficient and effective strategy for enhancing the kinetics of water splitting reactions encompassing the generation of hydrogen (hydrogen evolution reaction, HER) and oxygen (oxygen evolution reaction, OER). In this investigation, we have prepared a composite material by integrating Cr2CTx MXene (derived from Cr2AlC MAX phase) and polyvinyl alcohol (PVA) through electrospinning technique. Carbonization of the MXene-PVA nanofibers resulted in the formation of Cr2CTx/carbon nanofiber (Cr2CTx/CNF) that exhibits high porosity, stability, surface area, and electrocatalytic activity. Systematic examination and optimization for the electrocatalytic water splitting reaction reveales outstanding performance, characterized by substantially lower overpotentials of 265 mV and 250 mV at the constant current density of 10 mA cm?2 with lower Tafel slope values of 85 mV dec?1 and 52 mV dec?1 for HER and OER, respectively. Moreover, this work presents a novel strategy for fabricating non-precious electrocatalyst Cr2CTx/CNF through a cost-effective and straightforward electrospinning and carbonization process, advancing electrocatalytic water splitting applications, especially for oxygen evolution reactions.  2024 The Royal Society of Chemistry.</text>
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                <text>Madhushree R., Department of Chemistry, Christ University, Bengaluru, 560029, India; Chaithra K.P., Department of Chemistry, Christ University, Bengaluru, 560029, India; Sunaja Devi K.R., Department of Chemistry, Christ University, Bengaluru, 560029, India; Vinod T.P., Department of Chemistry, Christ University, Bengaluru, 560029, India</text>
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                <text>Indiscriminate discharge of toxic organic contaminant-laden wastewater into water bodies is one of the major issues posing a risk to the environment in general and aquatic living systems in particular. Widely used textile dyes are ubiquitous in the effluents emanating from industries. Photocatalysts, due to their efficiency and eco-friendliness, can be effectively used to remove pollutant dyes from the water bodies. Molybdenum disulfide (MoS2), an emerging co-catalyst, has high photocatalytic activity, strong absorptivity, non-toxicity, and low cost; with a graphene-like structure, it offers functional features similar to graphene: high charge carrier transfer, strong wear resistance, and good mechanical strength. However, in aspects such as cost, abundance, versatile morphologies, and tunable band gap with efficient visible light absorption properties, MoS2 scores over graphene. The present chapter discusses the recent advances in nanostructured MoS2 materials for applications in environmental remediation. Special emphasis has been paid to MoS2 and MoS2-based systems for the photocatalytic degradation of various organic contaminants such as malachite green, methyl orange, rhodamine B, and methylene blue that find extensive use in the textile industry. As a result, MoS2 systems play an essential role in nanocomposites, especially in speeding up photo-induced electron transport and lowering electron recombination rates, making them desirable photocatalysts for the degradation of pollutants. The chapter focuses on addressing SDG 3 (Good Health and Wellbeing), SDG 6 (Clean Water and Sanitation), SDG 7 (Clean and Affordable Energy), SDG 9 (Industry, Innovation, and Infrastructure), SDG 12 (Responsible Consumption and Production), SDG 14 (Life Below Water), and SDG 15 (Life on Land).  2025 Moharana Choudhury, Ankur Rajpal, Srijan Goswami, Arghya Chakravorty and Vimala Raghavan.</text>
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                <text>Madhushree R., Department of Chemistry, Christ (Deemed to be University), Karnataka, Bangalore, 560029, India; Jose A., Molecular Medicine and Pathology, University of Auckland, Auckland, 1023, New Zealand; Pinheiro D., Department of Chemistry, Christ (Deemed to be University), Karnataka, Bangalore, 560029, India; Sunaja Devi K.R., Department of Chemistry, Christ (Deemed to be University), Karnataka, Bangalore, 560029, India</text>
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                <text>Detecting fraudulent activity has become a pressing issue in the ever-expanding realm of financial services, which is vital to ensuring a positive ecosystem for everyone involved. Traditional approaches to fraud detection typically rely on rule-based algorithms or manually pick a subset of attributes to perform prediction. Yet, users have complex interactions and always display a wealth of information when using financial services. These data provide a sizable Multiview network that is underutilized by standard approaches. The proposed method solves this problem by first cleaning and normalizing the data, then using Kernel principal component analysis to extract features, and finally using these features to train a model with CNN-BiLS TM, a neural network architecture that combines the best parts of the Bidirectional Long Short-Term Memory (BiLS TM) network and the Convolution Neural Network (CNN). BiLSTM makes better use of how text fits into time by looking at both the historical context and the context of what came after.   2023 IEEE.</text>
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                <text>Madhusudhana Reddy N., Rajeev Gandhi Memorial College of Engineering and Technology, Department of Cse, Andhra Pradesh, Nandyal, India; Sharada K.A., Hkbk College of Engineering, Department of Cse, Karnataka, Bangalore, India; Pilli D., Koneru Lakshmaiah Educational Foundation, Mba Department, Andhra Pradesh, India; Paranthaman R.N., School of Computing, College of Engineering and Technology, Srm Institute of Science and Technology, Department of Networking and Communications, Tamilnadu, India; Reddy K.S., Prakasam Engineering College, Department of Computer Science and Engineering, Andhra Pradesh, Kandukur, India; Chauhan A., Christ (Deemed to Be University), Department of Life Sciences, Karnataka, Bengaluru, India</text>
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                <text>In our groundbreaking exploration, we meticulously delve into the relationship between environmental policy stringency, international trade dynamics, and financial openness within the BRICS group (Brazil, Russia, India, China, and South Africa) spanning from 1996 to 2021. With a focus on critical variables such as economic growth and technological innovation, our empirical findings challenge conventional wisdom. Surprisingly, we found that those stringent environmental policies, when standing alone, do not invariably lead to reduce CO2 emissions. Equally interesting is our startling discovery that the anticipated moderating influence of environmental policy stringency, catalyzed by trade and foreign direct investment, on the well-being of our environment does not materialize; contrarily, both trade and foreign direct investment moderating channels exhibit unanticipated positive correlations with CO2 emissions. These revelations provoke us with the presence of a "pollution haven" phenomenon within the BRICS economies. Furthermore, our investigation reveals that, when examined individually, trade and foreign direct investment also appear to contribute to elevated emission levels. These findings provide a resolute solution to our research quandary, underlining the indispensable requirement for cutting-edge and robust environmental policies. These policies must possess the prowess to effectively counteract the adverse environmental consequences stemming from the amalgamation of global trade and financial integration. In doing so, they shall propel BRICS nations toward a future firmly grounded in principles of sustainability and ecological integrity.  2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.</text>
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                <text>Mahalik M.K., Department of Humanities and Social Sciences, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India; Pal S., Department of Humanities and Social Sciences, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India, School of Business and Management, Christ University (Deemed to be University), Bengaluru, 560029, India; Le T.-H., VinFuture Foundation, Hanoi, Viet Nam, IPAG Business School, Paris, France; Mishra S., School of Rural Management, XIM University, Bhubaneswar, India</text>
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                <text>A reliable inter-domain routing framework for autonomous systems using hybrid Blockchain</text>
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                <text>Authorized data; Blockchain; Decentralized network; Distributed ledger; Routing decisions; Tamper-proof</text>
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                <text>Inter-domain networks face several routing challenges, such as security, scalability, and reliability concerns in existing BGP-based systems. These challenges are exacerbated by the increasing number of interconnected networks and the lack of a standardized approach for routing data between them. Hybrid Blockchain-based framework has proposed for inter-domain routing in autonomous systems in this research. The framework combines the use of traditional routing protocols with the distributed ledger technology of Blockchain. It leverages the salient features of both to create a more secure and efficient routing framework. The Blockchain component provides a decentralized and tamper-proof ledger for storing routing information, while the traditional routing protocols handle the actual exchange of data between autonomous systems. The framework is designed to enhance the security of inter-domain routing by incorporating the use of digital signatures and information sharing among participating autonomous systems. Each participating system maintains a copy of the distributed ledger and can verify the authenticity of routing information using digital signatures. It ensures that only legitimate and authorized data is transmitted between autonomous systems, mitigating the risk of malicious attacks or illegitimate routing. The proposed framework obtained 87.73 % Route calculation Speed, 90.41 % Route filtering, 93.77 % Fault tolerance, 94.10 % Load balancing, 95.54 % Hop count, 95.13 % bandwidth consumption, 93.94 % Security Management and 96.29 % Convergence time. The framework employs a consensus mechanism for updating and validating the routing information, ensuring consistency and accuracy in the routing decisions. It also reduces the reliance on a single central authority and distributes the decision-making process among participating systems.  2024 Elsevier Ltd</text>
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                <text>Mahalingam M.S.; Kumar N.S.; Devi R.K.; Logeshwaran J.</text>
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                <text>Computers and Electrical Engineering, Vol-123</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.compeleceng.2024.110031" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.compeleceng.2024.110031&lt;/a&gt;
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                <text>Mahalingam M.S., Department of Computer Science and Engineering, School of Computing, Kalasalingam Academy of Research and Education, Tamil Nadu, India; Kumar N.S., Department of Computer Science and Engineering, School of Computing, Kalasalingam Academy of Research and Education, Tamil Nadu, India; Devi R.K., School of Computer Science and Engineering, VIT - Chennai Campus, Tamil Nadu, Chennai, India; Logeshwaran J., Department of Computer Science, Christ University, Karnataka, Bengaluru, 560029, India</text>
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                <text>Sonochemical assisted impregnation of Bi2WO6 on TiO2 nanorod to form Z-scheme heterojunction for enhanced photocatalytic H2 production</text>
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                <text>Bi&lt;sub&gt;2&lt;/sub&gt;WO&lt;sub&gt;6&lt;/sub&gt;; H&lt;sub&gt;2&lt;/sub&gt; production; Photocatalyst; TiO&lt;sub&gt;2&lt;/sub&gt; nanorods; Z-scheme</text>
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                <text>In this work, Bi2WO6/TiO2 nanorod heterojunction was prepared by sonochemical assisted impregnation method. After loading 2 wt% Bi2WO6 on TiO2 nanorods, the photocatalytic hydrogen production rate of 2026 mol/h/g was achieved. Compared to commercial P25 and TiO2 nanorods, ?13 and ?3 folds enhanced activity was observed. The excellent photocatalytic performance of Bi2WO6/TiO2 nanorod photocatalyst was mainly attributed to i) reduction of bandgap due to heterojunction formation, ii) quick transport of photogenerated charge carriers, and iii) efficient charge carrier separation supported by UV-DRS, photocurrent measurement, Impedance study, and photoluminescence spectra analysis. The Z-scheme band alignment for Bi2WO6/TiO2 nanorod heterojunction was proposed based on the Mott-Schottky measurement. This result demonstrated the effective utilization of Z-scheme heterojunction of Bi2WO6/TiO2 for photocatalytic reduction application.  2021 The Society of Powder Technology Japan</text>
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                <text>Mahammed Shaheer A.R.; Thangavel N.; Rajan R.; Abraham D.A.; Vinoth R.; Sunaja Devi K.R.; Shankar M.V.; Neppolian B.</text>
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              <elementText elementTextId="113989">
                <text>Advanced Powder Technology, Vol-32, No. 12, pp. 4734-4743.</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.apt.2021.10.022" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.apt.2021.10.022&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118777387&amp;amp;doi=10.1016%2Fj.apt.2021.10.022&amp;amp;partnerID=40&amp;amp;md5=af9703afbebe39945e5b13527877f4b1" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118777387&amp;amp;doi=10.1016%2fj.apt.2021.10.022&amp;amp;partnerID=40&amp;amp;md5=af9703afbebe39945e5b13527877f4b1&lt;/a&gt;</text>
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              <elementText elementTextId="113993">
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                <text>ISSN: 9218831; CODEN: APTEE</text>
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                <text>Mahammed Shaheer A.R., SRM Research Institute, SRM Institute of Science and Technology, Kattankulathur, Chennai, 603203, Tamil Nadu, India; Thangavel N., SRM Research Institute, SRM Institute of Science and Technology, Kattankulathur, Chennai, 603203, Tamil Nadu, India; Rajan R., Department of Chemistry, CHRIST University, Bangalore, 560029, Karnataka, India; Abraham D.A., Department of Materials Science and Engineering, College of Engineering and Applied Sciences, College of Engineering and Applied Sciences, Nanjing University, Nanjing, CN 210093, Jiangsu, China; Vinoth R., Physical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia; Sunaja Devi K.R., Department of Chemistry, CHRIST University, Bangalore, 560029, Karnataka, India; Shankar M.V., Nanocatalysis and Solar Fuels Research Laboratory, Department of Materials Science and Nanotechnology, Yogi Vemana University, Kadapa, 516005, Andhra Pradesh, India; Neppolian B., SRM Research Institute, SRM Institute of Science and Technology, Kattankulathur, Chennai, 603203, Tamil Nadu, India</text>
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