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                <text>BEYOND SCREENS: A PSYCHO-THERAPEUTIC INTERVENTION FOR ADOLESCENTS SUFFERING FROM INTERNET GAMING ADDICTION</text>
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                <text>Internet gaming disorder; intervention; psychological management; psychotherapy; systematic review</text>
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                <text>The Diagnostic and Statistical Manual of Mental Disorders (DSM 5) has now included Internet Gaming disorder in section III as the condition that warrants more clinical research. Internet or Online gaming has become one of the most popular sources of entertainment among children and adolescents, representing the fastest-growing segment leading to hazards as well. Thus, there is a requirement for a psycho-therapeutic intervention module to help in overall psychological well-being of the adolescents suffering from Internet Gaming Disorder (IGD). A total of 8 adolescents suffering from IGD were treated with scientifically prepared psycho-therapeutic module in total of 12 group sessions. The eclectic approach to treatment is proven to be effective for adolescents yielding significant improvement in the clinical condition and promotes wise engagement in gaming.  (2023). All Rights Reserved.</text>
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                <text>Chauhan D.; Rastogi K.; Roy S.</text>
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                <text>Journal of Content, Community and Communication, Vol-18, pp. 34-42.</text>
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                <text>Chauhan D., Department of Psychology, Christ (Deemed to be University), Delhi NCR, India; Rastogi K., Department of Psychology, Christ (Deemed to be University), Delhi NCR, India; Roy S., Jamia Milia Islamia, New Delhi, India</text>
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                <text>Investigating Personalized Learning Paths to Address Educational Disparities Using Advanced Artificial Intelligence Systems</text>
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                <text>Adaptive Algorithms; Bias Mitigation; Content Embedding; Cosine Similarity; Cultural Nuances; Cultural Relevance Score; Cultural Sensitivity; Data Auditing; Diversity in Training Datasets; Named Entity Recognition (NER); Natural Language Processing (NLP); Personalized Learning Paths; Sentiment Analysis</text>
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                <text>This innovative study reimagines the role of Natural Language Processing (NLP) in individualized education by highlighting the critical need to incorporate cultural subtleties. While natural language processing (NLP) offers great potential for improving classroom instruction, current research frequently fails to account for the complex issues caused by cultural variation. This research fills a significant need by providing a novel framework for the detection and incorporation of cultural subtleties into individualized learning programs. Further research into common biases is driving the development of natural language processing models with greater cultural sensitivity and awareness, such as gender bias in Named Entity Recognition (NER) and sentiment bias in cultural preferences. In order to correct past biases and promote gender neutrality in educational content, the research makes use of an adaptive NER algorithm and a diverse training dataset. Similarly, to guarantee nuanced and fair sentiment evaluations, the study suggests regularly evaluating and retraining sentiment algorithms with datasets that represent multiple cultures. A Cultural Relevance Score of 0.9, Adaptive Content Embedding vectors [0.3, 0.6, -0.2.], and an impressive Cosine Similarity of 0.85 are some of the evaluation measures that highlight the effectiveness of the research. These measurements show encouraging gains, which confirms that the research might help make schools more welcoming and sensitive to different cultures. The research has the potential to revolutionize individualized education by making it more accessible and engagingfor students from all backgrounds.   2024 IEEE.</text>
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                <text>Chauhan M.; Rahman H.; Ibrahim U.M.M.; Reddy D.S.; Padmanabhan A.S.; Thirumalaikumari T.; Babu G.C.</text>
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                <text>Chauhan M., Symbiosis Law School-NOIDA, India, Symbiosis International (Deemed University), Pune, India; Rahman H., Malang, Indonesia; Ibrahim U.M.M., Malang, Indonesia; Reddy D.S., Vardhaman College of Engineering, Department of Mathematics, Telangana, Hyderabad, India; Padmanabhan A.S., Law Christ University, Bangalore, India; Thirumalaikumari T., Saveetha College of Liberal Arts and Sciences, Chennai, India; Babu G.C., Gokaraju Rangaraju Institute of Engineering and Technology, Department of Cse, Telangana, Hyderabad, India</text>
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                <text>Applications of artificial intelligence in Echo Global Logistics</text>
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                <text>artificial intelligence; Echo Global Logistics; industrial internet of things; internet of things; supply chain operations; transportation management system (TMS)</text>
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                <text>Echo Global Logistics is a premier provider of business process outsourcing, using technology to meet its clients logistics and transportation needs. They deliver substantial transportation savings to clients while providing top-tier service, thanks to state-of-the-art web-based technologies, dedicated service teams, and significant purchasing power. The most significant business risk in 2023 will be supply chain interruptions, which can impact cash flow, growth, and shareholder value. Echo Global Logistics has introduced an innovative self-service website called Echo Ship, designed for shippers of less-than-truckload (LTL) shipments. Echo Ship simplifies LTL shipping with excellent visibility, outstanding functionality, and a quick, user-friendly design. Logistics is evolving at Echo Global Logistics, with patented technology incorporating the latest developments in the most flexible and reliable transport management system (TMS) currently available. This TMS is developed using Artificial Intelligence (AI), machine learning, and complex load-matching algorithms. Echos unique software is user-friendly, adaptable, and highly scalable, addressing the evolving needs of carriers and shippers regarding transportation management, enabling customers to move their goods swiftly, securely, and affordably. A transportation management company leverages AI to provide supply chain solutions that optimize transportation and logistics needs. The list of services also encompasses executive dashboard presentations, rate negotiation, transportation procurement, shipment execution and tracking, carrier management, carrier selection, reporting, compliance, and comprehensive shipment reports, Over the next five years, supply chain companies anticipate a twofold increase in the use of machine automation in their operations. Similarly, there is a projected 40% compound annual growth rate (CAGR) over the next seven years, going from $1.67 billion in 2018 to $12.44 billion in 2024. Supply chain executives are often time-constrained, making it challenging to attend numerous meetings for solution implementation. Actionable insights from integrated AI tools can remove bottlenecks and unlock real-time value. This is vital because supply chain businesses require more action rather than excessive analysis. This chapter delves into the AI and supply chain practices at Echo Global Logistics, illustrating how AI-based solutions reduce costs, enhance supply chains, boost productivity, and improve service quality. It aims to determine whether the company can transform its products and services, creating new value propositions for Echo Global Logistics customers with the aid of AI.  2024 by Elsevier Inc. All rights reserved, including those for text and data mining, AI training, and similar technologies.</text>
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                <text>Chaurasia A.; Parashar B.; Kautish S.</text>
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                <text>Computational Intelligence Techniques for Sustainable Supply Chain Management, pp. 405-428.</text>
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                <text>Chavan V., Ravensbourne University London, Project Management, United Kingdom; Nagendra, Manipal Law School, Manipal Academy of Higher Education, Karnataka, Bengaluru, India; Mohammad Roshif U., Malabar College of Advanced Studies Vengara, University of Calicut, Department of Management Studies, Kerala, India; Abhijith R., Cet School of Management, College of Engineering Trivandrum, Apj Abdul Kalam Technological University, Kerala, India; Joshi A., Ba School of Business And Finance, Riga, Latvia; Jha D., Christ (Deemed To Be University, Delhi-NCR), Uttar Pradesh, India</text>
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                <text>Cryptocurrencies' growing use has increased investors and decision- makers interest. Cryptocurrencies' volatility and how it impacts others is
most intriguing. Arguments include speculative pressures, valuation uncertainty, and lack of regulation. These traits cannot fully explain
cryptocurrency volatility and volatility spillovers, suggesting other relevant factors. In this study, currency volatility and spillovers, as well as
their relationship with the sentiment of global investors, were investigated. The study analysed 22 cryptocurrencies from 01/01/2018 to 31/12/2022.
The study used FIGARCH and FIEGARCH, a GARCH family model to analyse the long-memory and leverage effects on cryptocurrency volatility,
the ADCC-GARCH framework, and the Diebold-Yilmaz spillover index to analyse cryptocurrency volatility spillovers. The long-memory and
leverage impacts on bitcoin volatility were analysed using the FIGARCH and FIEGARCH models from the GARCH family. Both the Chow-test and
the Pai-Berron Test found structural breaks in the cryptocurrencies. Cryptocurrencies such as Adacordono, Aertinity, ARK, BAT, BCH, BNT,
BTC, Dogecoin, Ethereum, Funtoken, ICON, KMD, KNC, NEO, PIVX, QTUM, SNT, TRX, ZCASH, have positive (difference) FIGARCH
coefficient values. It indicates a long memory in currencies, and volatility shocks affect future volatility. On the other hand, the FIGARCH
coefficient of BTG cryptocurrency (difference) is negative (-0.035), which suggests that the individual has a short memory. In this scenario, the effects
of volatility shocks are only temporary. When extreme volatility is promptly followed by low volatility or vice versa, this indicates anti-
persistence. The study also found that both positive and negative news has a significant impact on the volatility of specific cryptocurrencies such as
BCH (0.015), BNT (0.0016), BTG (0.01972), DOGE (0.2296), EOS (0.0112), KNC (0.0366), PIVX (0.0021), TRX (0.0013), Adacordono (-
0.027), Aertinity (-0.0393), ARK (-0.0377), BAT (-0.028058), and BTC (-0.0665). Ethereum has the largest spillover (4.09), followed by QTUM
(4.06), EOS (4.05), Adacordono (4.05), and Dogecoin (2.4). All cryptocurrencies show fundamental instabilities (P-values less than 0.05).
Hence the alternative hypothesis is accepted, and the null hypothesis is rejected. The hill estimator tail index value is ? &amp;gt; 0, fat tail or heavy tail;
high chance of catastrophic event which is observed in all the 22 cryptocurrencies. Both investors and speculators can use sentiment
analysis to forecast market volatility and generate gains. Policymakers can also utilize this information to establish laws that reduce market volatility.
As a result, the study contributes to the ongoing discussion on the factors that cause bitcoin's volatility.3</text>
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                <text>atomic absorption spectroscopy; crop productivity; hydro chemical analysis; ion chromatography; irrigation management; saline soils; soil salinity mapping; water quality analysis</text>
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                <text>This study aims to address the effect of water quality on crop productivity on saline soils. Water quality parameters to be studied include salinity level, pH, oxygen concentration, nutrient, and heavy metal level. The study will particularly focus on irrigation water sources that are situated in regions characterised by saline soils. Moreover, there are intended growth experiments for the evaluation of various specific crops such as rice, wheat or maize with different levels of water quality. The study will incorporate sophisticated analytical tools including ion chromatography, atomic absorption spectroscopy (AAS), and electric field mapping (EMI) to shed light on the current water quality and soil conditions of the selected area. The experiments that we plan to conduct will involve studying the growth parameters, yield, water use efficiency and the percentage of uptake of nutrients under several water quality scenarios. The data collected in this work will ascertain the link between the values of water quality parameters, soil salinity extent and productivity of crops and will provide the basis for the creation of innovative saline soil agriculture irrigation management practices.  2024, Scibulcom Ltd.. All rights reserved.</text>
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                <text>Chavhan G.K.; Maind V.B.; Sonawane K.B.; Pujar R.P.; Acharjee P.B.; Kalra G.; Philip J.M.</text>
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                <text>Journal of Environmental Protection and Ecology, Vol-25, No. 6, pp. 1785-1794.</text>
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                <text>ISSN: 13115065</text>
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                <text>Chavhan G.K., Department of Geography, K. J. Somaiya College of Arts, Commerce and Science, Maharashtra, Kopargaon, India; Maind V.B., Department of Geography, K. J. Somaiya College of Arts, Commerce and Science, Maharashtra, Kopargaon, India; Sonawane K.B., Department of Geography, K. J. Somaiya College of Arts, Commerce and Science, Maharashtra, Kopargaon, India; Pujar R.P., Department of Marketing, Indira School of Business Studies PGDM, Pune, India; Acharjee P.B., Department of Computer Science, CHRIST University, Bangalore, India; Kalra G., Department of Mechanical Engineering, Maharishi Markandeshwar (Deemed to be University), Ambala, Mullana, India; Philip J.M., Department of Computer Science and Engineering Sri Ramakrishna Institute of Technology, Tamil Nadu, Coimbatore, India</text>
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                <text>Atman's awakening: Bhagavad Gita's Path to Moksha through Karma Yoga and Atmabodha</text>
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                <text>Indian psychology is characterized by its diverse and rich traditions that have evolved over several centuries. This chapter tries to fulfill four objectives: 1) To provide a brief overview of the concept of self in Bhagavad Gita; 2) to give a brief overview of the two frameworks for moksha given in the Bhagavad Gita with the help of empirical evidence of current research; 3) to propose a conceptual model using Triguna Framework and Trimarg Framework; and 4) to provide the implications of the proposed model. The chapter begins with an explanation of the Indian philosophical understanding of self from the lens of Bhagavad Gita. In the second section, an effort has been made to compare and contrast the two frameworks given in Bhagavad Gita for Moksha. The last section introduces a conceptual model to enhance sattva guna and reduce the rajas and tamas gunas to attain atmabodha that can have positive psychological implications in modern times.  2024, IGI Global. All rights reserved.</text>
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                <text>Chawla S.; Giri M.</text>
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                <text>Global Applications of Indian Psychology: Therapeutic and Strategic Models, pp. 31-61.</text>
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                <text>&lt;a href="https://doi.org/10.4018/978-1-6684-9778-4.ch003" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.4018/978-1-6684-9778-4.ch003&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85181054681&amp;amp;doi=10.4018%2F978-1-6684-9778-4.ch003&amp;amp;partnerID=40&amp;amp;md5=fc0d6cc56d566b1217a5b1e7df8047f7" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85181054681&amp;amp;doi=10.4018%2f978-1-6684-9778-4.ch003&amp;amp;partnerID=40&amp;amp;md5=fc0d6cc56d566b1217a5b1e7df8047f7&lt;/a&gt;</text>
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              <elementText elementTextId="150705">
                <text>Restricted Access</text>
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                <text>ISBN: 978-166849779-1; 978-166849778-4</text>
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                <text>Chawla S., Christ University, India; Giri M., Christ University, India</text>
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                <text>Exploring perceptions of psychology students in Delhi-NCR Region towards using mental health apps to promote resilience: a qualitative study</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="75370">
                <text>Engaging features; FGDs; Mental health apps; MHapps; Progress tracking; Reflexive thematic analysis; Resilience; University students</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="75371">
                <text>Background: Mental health apps (MHapps) have the potential to become an essential constituent for addressing mental health disparities and influencing the psychological outcomes of students in India. Though lauded as a practical approach to preventing various mental health issues, there are concerns that developing and utilizing MHapps standardized on Western populations produce ineffective results for the natives of Asian countries such as India due to a wide range of cultural differences. This research was conducted on psychology students living in the Delhi-NCR region of the Indian subcontinent. The study explored psychology students perceptions, needs, and preferences regarding mental health apps that promote resilience, identified barriers and facilitators for developing effective mental health apps, and explored the cultural relevance of the development of MHapps in India. Methods: This was an exploratory study utilizing focus group discussions among psychology students. Psychology students were sampled using snowball sampling from Delhi-NCR region colleges to participate in FGDs. We conducted six focus groups, which included a representation of 30 psychology students from full-time UG/PG courses. The study used a reflexive thematic analysis framework using the six-step Braun and Clarke process to develop themes. Results: Psychology students valued MHapps for their easy accessibility, 24*7 functionality, affordable costs, highly engaging features, and the option of being anonymous. However, students preferred the apps based on established psychological frameworks with strong empirical evidence and the availability of remote mental health professionals with relevant qualifications and training. The main barriers to using MHapps identified by students included difficulties in differentiating between real and fake MHapps, lack of progress tracking of the users due to minimal human interactions, and ethical and data privacy concerns. Students also emphasized the cultural relevance of MHapps. The interpretation of our findings indicates that students demanded transparency regarding the authenticity of MHapps. Conclusion: The findings of this exploratory investigation offer a better understanding of how college students perceive the usage of MHapps to improve resilience. This study highlights that further research should explore the specific needs and preferences of university students for developing and implementing effective MHapps for different contexts.  The Author(s) 2024.</text>
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                <text>Chawla S.; Saha S.</text>
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                <text>BMC Public Health, Vol-24, No. 1</text>
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            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="75374">
                <text>BioMed Central Ltd</text>
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                <text>&lt;a href="https://doi.org/10.1186/s12889-024-19565-9" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1186/s12889-024-19565-9&lt;/a&gt;
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              <elementText elementTextId="75377">
                <text>All Open Access; Gold Open Access; Green Open Access</text>
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            </elementTextContainer>
          </element>
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              <elementText elementTextId="75378">
                <text>ISSN: 14712458; PubMed ID: 39061041</text>
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          </element>
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                <text>Nowadays, there is a race between active and passive harmonic filters and still ambiguity persists. It is a proven fact that active harmonic filters (AHFs) are costly solutions though have proved better than passive harmonic filters. Except sizing and resonance problems, tuned passive harmonic filters (TPHFs) are proved to give economical solutions with little compromise on their performance. The accurate design of TPHFs gives a greater impact on its performance. The triple-TPHF (TTPHF) is essential to alleviate first three dominant ac side current harmonics simultaneously at the high voltage direct current (HVdc) converters and it is proved better than the single and double TPHFs. Existing equivalent methods of TTPHF design failed to give satisfactory performance under dynamic conditions. Hence, this article introduces a novel parametric method-based design of TTPHF, which will give better performance under static and dynamic loading conditions. The results also reveal that the proposed TTPHF design method will perform better than the existing methods.   2021 IEEE.</text>
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                <text>Cheepati K.R., Ksrm College of Engineering (Autonomous), Electrical and Electronics Engineering, Kadapa, 516005, India; Parimalasundar E., Mohan Babu University, Erst while Sree Vidyanikethan Engineering College, Department of Electrical and Electronics Engineering, Tirupati, 517102, India; Suresh K., Christ University, Electrical and Electronics Engineering, Bangalore, 560029, India; Rami Reddy C., Joginpally B.R. Engineering College, Electrical and Electronics Engineering, Hyderabad, 500075, India; Alqahtani M.M., King Khalid University, Department of Industrial Engineering, Abha, 62529, Saudi Arabia; Khalid M., King Fahd University of Petroleum and Minerals, Electrical Engineering Department and Irc for Renewable Energy and Power Systems (IRC-REPS), Dhahran, 31261, Saudi Arabia, SDAIA-KFUPM Joint Research Center for Artificial Intelligence, Dhahran, 31261, Saudi Arabia</text>
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                <text>In this study, we have carried out an in-depth, idiographic exploration of how Indian clients describe their experiences of emotional abuse in a parent-adult child context from a social justice lens. This study focused on the contribution of persisting systemic influences, including gender and culture, in maintaining emotional abuse. We collected data from seven participants through a semi-structured interview schedule, and utilized an interpretative phenomenological analysis for the research design and analysis. Findings indicatedvarious cultural and gender norms were responsible for contributing to and maintaining emotional abuse. The five master themes developed included Unmet Emotional Needs, Mental Health Issues due to Impact of Emotional Abuse, Gender and Culture Norms as Backgrounded, Unfair and Oppressive Norms and Attitudes, and Intergenerational Nature of Norms, Beliefs, and Abuse. Implications for counsellors, policymakers, and researchers in the fields of counselling and psychotherapy, social justice, social psychology, and critical psychology are discussed.  The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.</text>
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                <text>Cheguvera N., Department of Psychology, Christ (Deemed to be University), Hosur Road, Bhavani Nagar, Karnataka, Bengaluru, India; Arur A.A., Department of Psychology, Christ (Deemed to be University), Hosur Road, Bhavani Nagar, Karnataka, Bengaluru, India</text>
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                <text>In order to prepare for future high-power storage-related applications, a tremendous amount of studies have been conducted on the manufacturing of high-performance supercapacitor electrodes. The hydrothermal technique was used to synthesize Bi2WO6NiO nanocomposite (NC), which was examined using FTIR, XRD, HR-TEM, EDX, FESEM, and XPS techniques. Furthermore, the Bi2WO6-NiO NC performs with an elevated specific capacity of 398.2C/g at 10 mV/s. The charge transfer resistance (Rct) and solution resistance (Rs) of Bi2WO6-NiO NC were determined as 0.81 and 0.23 ? using electrochemical impedance spectra (EIS). Bi2WO6-NiO NC extended the chargedischarge time and rate capacities, as shown by the galvanostatic chargedischarge (GCD) analysis. Even after 2000 cycles, Bi2WO6-NiO NC cyclic stability was superior with a capacitive retention of 89.3 %. A power density of 6750 W/kg resulted from the constructed asymmetric supercapacitor (ASC) device based on Bi2WO6-NiO/AC, exhibiting an energy density of 32.5 Wh/kg. Additionally, the ASC maintains high cyclic stability with 90.8 % of initial capacity, even after 2000 chargedischarge cycles in a row.  2024 Elsevier B.V.</text>
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                <text>Chelladurai A.; Veerasingam M.; Kesavan T.; Alotaibi N.H.; Sangaraju S.; Muthusamy K.K.; Sonaimuthu M.; Sakkarapani S.</text>
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                <text>Materials Science and Engineering: B, Vol-313</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.mseb.2024.117939" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.mseb.2024.117939&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212339247&amp;amp;doi=10.1016%2Fj.mseb.2024.117939&amp;amp;partnerID=40&amp;amp;md5=bb67aa4a17865bf97f078614de43c606" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212339247&amp;amp;doi=10.1016%2fj.mseb.2024.117939&amp;amp;partnerID=40&amp;amp;md5=bb67aa4a17865bf97f078614de43c606&lt;/a&gt;</text>
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                <text>Chelladurai A., Department of Physics, Alagappa University, Tamilnadu, Karaikudi, 630 003, India; Veerasingam M., Department of Chemistry, Mount Zion College of Engineering and Technology, Thirumayam, Pudukkottai, 622 507, India; Kesavan T., Department of Physics, Bharath Institute of Higher Education and Research, Chennai, 600073, India; Alotaibi N.H., Department of Chemistry, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia; Sangaraju S., National Water and Energy Center, United Arab Emirates University, Al Ain, 15551, United Arab Emirates; Muthusamy K.K., Department of Physics and Electronics, CHRIST University, Bengaluru, 560 029, India; Sonaimuthu M., School of Chemical Engineering, Yeungnam University, Gyeongsan, 38541, South Korea; Sakkarapani S., Department of Physics, Alagappa University, Tamilnadu, Karaikudi, 630 003, India</text>
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