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                <text>CNN-Bidirectional LSTM based Approach for Financial Fraud Detection and Prevention System</text>
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                <text>Bidirectional Long Short-Term Memory (BiLSTM); Kernel Principal Component Analysis (KPCA); Normalization</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.; Sharada K.A.; Pilli D.; Paranthaman R.N.; Reddy K.S.; Chauhan A.</text>
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                <text>International Conference on Sustainable Computing and Smart Systems, ICSCSS 2023 - Proceedings, pp. 541-546.</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</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>CNN-RNN based Hybrid Machine Learning Model to Predict the Currency Exchange Rate: USD to INR</text>
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                <text>CNN; DNN; FLANN; LSTM; RNN</text>
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                <text>Foreign currency exchange plays an imperative part in the global business and in monetary market. It is also an opportunity for many traders as an investment option and the advance knowledge of fluctuation helps the investors making right decision on time. However, due to its volatile nature, prediction of foreign currency exchange is a challenging task. This paper implements two models based on machine learning, namely Recurrent Neural Networks (RNN) and a Hybrid model of Convolutional Neural Networks (CNN) with RNN known as CNN-RNN to assess the accuracy in predicting the conversion rate of US Dollar (USD) to Indian Rupees (INR). The data set used to verify and validate the models is the daily currency exchange rate (USD to INR) available in public domain. The experimental results show that the simple RNN model performs slightly better than the hybrid model in this particular case. Though the accuracy of the hybrid model is very high in terms of error calculation still the single RNN model is the better performer. This does not straight away reject the hybrid model rather needs more experimental analysis with changing architecture and data set.  2022 IEEE.</text>
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                <text>Singh G.; Sarangi P.K.; Rani L.; Sharma K.; Sinha S.; Sahoo A.K.; Rath B.P.</text>
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                <text>2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022, pp. 1668-1672.</text>
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                <text>&lt;a href="https://doi.org/10.1109/ICACITE53722.2022.9823844" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICACITE53722.2022.9823844&lt;/a&gt;
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                <text>ISBN: 978-166543789-9</text>
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                <text>Singh G., Chitkara University Institute of Engineering and Technology, Chitkara University Punjab, Department of Computer Science and Engineering, India; Sarangi P.K., Chitkara University Institute of Engineering and Technology, Chitkara University Punjab, Department of Computer Science and Engineering, India; Rani L., Chitkara University Institute of Engineering and Technology, Chitkara University Punjab, Department of Computer Science and Engineering, India; Sharma K., Chitkara University Institute of Engineering and Technology, Chitkara University Punjab, Department of Computer Science and Engineering, India; Sinha S., Christ University, Department of Computer Science and Engineering, Bangalore, India; Sahoo A.K., Graphic Era Hill University, Department of Computer Science and Engineering, Dehradun, India; Rath B.P., Cognizant Technology Solutions Ltd., Department of Computer Science and Engineering, Bangalore, India</text>
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                <text>Co- Integration and Causality between Macroeconomics Variables and Bitcoin</text>
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                <text>The fintech sector has been booming for the past decade, especially with the unprecedented expansion in cryptocurrency innovation. Many countries and their central banks are working to accommodate cryptocurrency in a regulated format into their financial system anywise. This research paper investigates the long-run and short-run relationship between Bitcoin (INR) and the macroeconomic variables of the Indian economy, such as two major stock indices (NSE and BSE), money supply M1, foreign exchange rate (INR/US dollar), and indicators of inflation rate (CPI and WPI). For this purpose, monthly data of the variables from October 2014 to December 2020 are considered. The Johansen co-integration approach depicts the long-run association between Bitcoin and the economic variables, whilst VECM and the Wald coefficient reveal no short-run causality between the variables. The Granger Causality test shows a one-way causal relationship of NSE, BSE and WPI to Bitcoin. Hence, it concluded that stock indices and inflation have a cogent effect and exert on bitcoin prices. The findings will be helpful for policy-makers and investors alike, for an outlook to strategize and explore this everchanging digital instrument.  2024 CRC Press.</text>
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                <text>Sharma D.; Verma R.; Sam S.</text>
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                <text>Data- Driven Modelling and Predictive Analytics in Business and Finance: Concepts, Designs, Technologies, and Applications, pp. 332-344.</text>
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                <text>&lt;a href="https://doi.org/10.1201/9781032618845-18" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1201/9781032618845-18&lt;/a&gt;
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                <text>Sharma D., Department of Financial Administration, Central University of Punjab, Punjab, India; Verma R., Department of Financial Administration, Central University of Punjab, Punjab, India; Sam S., School of Business and Management Christ, Karnataka, Bengaluru, India</text>
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                <text>Co-Electrodeposited Pi-MnO2-rGO as an Efficient Electrode for the Selective Oxidation of Piperonyl Alcohol</text>
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                <text>Pi-MnO2-rGO-CFP electrode was developed through a concurrent deposition of Pi-MnO2 and reduced graphene oxide (rGO) on carbon fiber paper (CFP). Cyclic voltammetry (CV) and electrochemical impedance studies (EIS) were applied for the electrochemical characterization of the electrode. The electro catalytic activity of the modified electrode was improved by the increased synergistic characteristics of the CFP and electrochemically deposited rGO-Pi-MnO2 composite. The performance of the modified electrode was remarkable due to its lowest charge transfer resistance (R ct), and highest surface area offering more active sites and quicker electron transport kinetics. X-ray diffraction spectroscopy (XRD), Raman spectroscopy, scanning electron microscopy (SEM), transmission electron microscopy (TEM), and optical profilometry (OP) were employed to study the physicochemical properties. Furthermore, the modified electrode was availed to oxidize piperonyl alcohol mediated by 4-acetamido-2,2,6,6-tetramethylpiperidine-1-oxyl (4-acetamido TEMPO or 4-ACT). The product obtained was purified and characterized by 1HNMR. The turnover frequency of 4-ACT was studied at different concentrations of the reactant, and the reaction parameters were also optimized using statistical tool design of experiment. This methodology is demonstrated to be economical, environmentally benign, and highly efficient in obtaining piperonal as it is carried out under milder reaction conditions.  2023 The Electrochemical Society (ECS). Published on behalf of ECS by IOP Publishing Limited.</text>
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                <text>Rodrigues R.M.; Thadathil D.A.; Shanker G.; Sirimahachai U.; Varghese A.; Hegde G.</text>
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                <text>Journal of the Electrochemical Society, Vol-170, No. 3</text>
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              <elementText elementTextId="97840">
                <text>Institute of Physics</text>
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                <text>&lt;a href="https://doi.org/10.1149/1945-7111/acbdc2" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1149/1945-7111/acbdc2&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149510102&amp;amp;doi=10.1149%2F1945-7111%2Facbdc2&amp;amp;partnerID=40&amp;amp;md5=caa2605f3f5295a70baa64c8ecc25e3a" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149510102&amp;amp;doi=10.1149%2f1945-7111%2facbdc2&amp;amp;partnerID=40&amp;amp;md5=caa2605f3f5295a70baa64c8ecc25e3a&lt;/a&gt;</text>
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                <text>ISSN: 134651; CODEN: JESOA</text>
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                <text>Rodrigues R.M., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India, Department of Chemistry, St Agnes College (Autonomous), Karnataka, Mangaluru, 575002, India; Thadathil D.A., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Shanker G., Department of Chemistry, Bangalore University, Jnana Bharati Campus, Bengaluru, India; Sirimahachai U., Center of Excellence for Innovation in Chemistry, Division of Physical Science, Faculty of Science, Prince of Songkhla University, Hat Yai, Songkhla, 90110, Thailand; Varghese A., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Hegde G., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India, Centre for Advanced Research and Development (CARD), CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India</text>
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                <text>Co-Existence of Union and Management is Possible</text>
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                <text>ITIHAS The Journal of Indian Management, Vol-2 (4), pp. 100-101. ISSN-2249-7803</text>
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                <text>Chandran A.R. Vijaya</text>
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                <text>Co-MoS2 nanoflower coated carbon fabric as a flexible electrode for supercapacitor</text>
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                <text>Co-MoS&lt;sub&gt;2&lt;/sub&gt;; Cyclic stability; Specific capacitance; Supercapacitor</text>
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                <text>Cobalt doped MoS2 (Co-MoS2) nanoflowers have been successfully synthesized via a simple one-step hydrothermal method for supercapacitor applications. To identify the crystalline nature and morphology, the as-prepared material is characterized by XRD, SEM, and TEM measurements. The material exhibits a specific capacitance value of 86 F g-1 at a current density of 1 Ag-1 in symmetric two-electrode configuration with excellent cyclic stability of 98.5% even after 10,000 chargedischarge cycles. The results suggest the suitability of Co-MoS2 as an efficient electrode material for supercapacitors.  2021 Elsevier Ltd. All rights reserved.</text>
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                <text>Rohith R.; Manuraj M.; Imran Jafri R.; Rakhi R.B.</text>
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                <text>Materials Today: Proceedings, Vol-50, pp. 1-6.</text>
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              <elementText elementTextId="182801">
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                <text>2021-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.matpr.2020.12.1054" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.matpr.2020.12.1054&lt;/a&gt;
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                <text>ISSN: 22147853</text>
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                <text>Rohith R., Department of Physics, University of Kerala, Kariavattom, Thiruvanathapuram, 695581, India; Manuraj M., Chemical Science and Technology Division, CSIR-National Institute of Interdisciplinary Science and Technology (CSIR-NIIST), Kerala, Thiruvanathapuram, 695019, India; Imran Jafri R., Christ (Deemed to be University), Hosur Road, Karnataka, Bangalore, 560029, India; Rakhi R.B., Department of Physics, University of Kerala, Kariavattom, Thiruvanathapuram, 695581, India, Chemical Science and Technology Division, CSIR-National Institute of Interdisciplinary Science and Technology (CSIR-NIIST), Kerala, Thiruvanathapuram, 695019, India</text>
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                <text>Co-sputtered V2O5TiN composite on Ag-network current collector for high-performance flexible transparent thin-film supercapacitors</text>
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              <elementText elementTextId="83890">
                <text>Silver; Specific capacitance; Sputtering; Supercapacitor; TiN; V&lt;sub&gt;2&lt;/sub&gt;O&lt;sub&gt;5&lt;/sub&gt;</text>
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                <text>Next-generation wearables require extremely capable electrochemical energy-storage devices that exhibit improved performance with high flexibility and transparency. Herein, we present a highly flexible and transparent electrochemical thin-film supercapacitor electrode fabricated by co-sputtering V2O5 and TiN on an Ag-network-based current collector. The electrodes' physical properties, optical properties, and structural morphologies are studied using X-ray diffraction, UVvisible spectroscopy, and scanning electron microscopy, respectively. A symmetric device is fabricated using V2O5 and TiN on an Ag network, and the TiN sputter power is varied to optimize the performance. The device performance of the co-sputtered electrodes at various composition ratios is studied. The optimized V2O5TiN (200?40)/Ag electrode device with pseudocapacitive behavior delivers an excellent areal specific capacitance of 98.66 mF cm2 at a current density of 4 mA cm2 with a charge retention of 90.12 % after 6000 cycles. The V2O5TiN (200?40)/Ag electrode device outperforms other reported electrodes, with an energy density and power density of 30.83 ?Wh cm2 and 2999.67 ?W cm2, respectively, and excellent mechanical stability.  2023</text>
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                <text>Raman V.; Clament Sagaya Selvam N.; Mitta S.B.; Kim H.-K.</text>
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                <text>Journal of Alloys and Compounds, Vol-971</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.jallcom.2023.172450" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.jallcom.2023.172450&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176567057&amp;amp;doi=10.1016%2Fj.jallcom.2023.172450&amp;amp;partnerID=40&amp;amp;md5=63180b1fb8a658d4bc18d39232be2dd0" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176567057&amp;amp;doi=10.1016%2fj.jallcom.2023.172450&amp;amp;partnerID=40&amp;amp;md5=63180b1fb8a658d4bc18d39232be2dd0&lt;/a&gt;</text>
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                <text>ISSN: 9258388; CODEN: JALCE</text>
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                <text>Raman V., School of Advanced Materials Science and Engineering, Sungkyunkwan University, Gyeonggi-do, Suwon, 16419, South Korea; Clament Sagaya Selvam N., Department of Chemistry, CHRIST University, Bangalore, 560029, India; Mitta S.B., Advanced Institute of Nano-Technology (SAINT), Sungkyunkwan University, Gyeonggi-do, Suwon, 16419, South Korea; Kim H.-K., School of Advanced Materials Science and Engineering, Sungkyunkwan University, Gyeonggi-do, Suwon, 16419, South Korea</text>
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                <text>Carbon nanomaterials (CNs) have fascinated material scientist owing to their outstanding properties, making them potential materials for numerous critical applications. Over the years, scientists have reported several techniques for the production of CNs from distinctive precursors using various top-down and bottom-up approaches. Coal is being proven as an inexpensive, abundant, and effective carbon source for harvesting CNs with unique characteristics, properties, and high production yield. CNs derived from coal exhibit excellent fluorescence property, which can be tuned by varying the degree of oxidation, particle size, surface functionalization, etc. The fluorescent coal-derived CNs are effective materials for label-free bioimaging and selective sensing applications. In this review, we encompass the synthesis of different kinds of CNs from coal, their fluorescence properties, proposed fluorescence mechanisms, factors affecting fluorescence property, and fluorescence sensing and bioimaging applications.   2020 American Chemical Society. All rights reserved.</text>
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                <text>Energy and Fuels, Vol-34, No. 11, pp. 13291-13306.</text>
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                <text>&lt;a href="https://doi.org/10.1021/acs.energyfuels.0c02619" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1021/acs.energyfuels.0c02619&lt;/a&gt;
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                <text>Raj A.M., Department of Physics and Electronics, Christ University, Bengaluru, Karnataka, 560029, India; Balachandran M., Department of Physics and Electronics, Christ University, Bengaluru, Karnataka, 560029, India</text>
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                <text>Cobb douglas production function analysis of total factor productivity in Indian textile industry in the post multi-fiber agreement (MFA) period</text>
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                <text>Cobbb douglas production function; MFA; Quota removal; Textiles; Total factor productivity</text>
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                <text>Internnational tradee in textiles aand clothing wwas governedd by the systemm of bilateral quotas undeer the MMulti Fibre AgreementA (MMFA) since 11973 and thiss agreement has been repeplaced by thhe Agreeement on Texxtiles and Cllothing (ATC)C) from Januaary 1, 2005. The dismanntling of quotta restricctions had brrought about a significant change in thee structure off worldwide trrade in textilees as theere are no quuota barriers for the exporrt of textiles aand apparelss and the hithherto protecteed textilee industry wouldw be exposed to interrnational commpetition. It was widely believed annd highliighted in mosst of the studies that develloping economies, especiaally India andd China woulld be thee major gaineers in the neww policy regiime. In view of the changged trading ennvironment foor textilee trade, it wass considered important to analyze the immpact of quotta removal onn Indian textille industry, especiallyy with respecct to the prodductivity on thhis sector. Thee study has coonsidered fouur sub seectors of Indiian textile inddustry as givven in the Annnual Survey oof Industries, viz, Spinningg, Weavving and Finiishing of Texxtiles, Manuffacture of Other Textiles,, Manufacturre of Wearinng Apparrels and Manufacture off Crocheted aand Knitted Fabrics. Esstimates of CCobb Douglaas produuction function shows that the removal of textile quoota had impaccted all the foour sub sectorrs considdered in the study.s The imppact of quota removal on pproductivity iis positive andd significant iin the caase of spinninng, weaving aand finishingg of textiles ass well as in tthe manufactuure of wearinng apparrels. In the casec of mannufacture of other textiless and the mmanufacture oof knitted annd crochheted fabrics, the quota duummy coefficient is negatiive and signifificant at onee percent leveel. This sshows that thhe removal ofof quota restrrictions have adversely immpacted the ooutput of thesse sectorrs.  2020, North Carolina State University. All rights reserved.</text>
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                <text>Manoj G.; Muraleedharann S.</text>
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                <text>Journal of Textile and Apparel, Technology and Management, Vol-11, No. 3, pp. 1-11.</text>
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                <text>North Carolina State University</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086464908&amp;amp;partnerID=40&amp;amp;md5=b3ac92a675127b2f2b065d595e484a3a" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086464908&amp;amp;partnerID=40&amp;amp;md5=b3ac92a675127b2f2b065d595e484a3a&lt;/a&gt;</text>
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                <text>ISSN: 15330915</text>
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                <text>Manoj G., Departmentt of Economics, Christ (Deemed to be University), Bangalore, Karnataka, India; Muraleedharann S., Departtment of Economics, Maharajas College, Cochinn, Kerala, India</text>
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                <text>COBOTS: Vital role in significant domains</text>
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                <text>The term COBOT refers to "collaborative robot, " which is created by combining humans and robots to increase the efficacy and efficiency of industrial processes. Cobots have extensive applications in various sectors, including healthcare, motoring, production, electronics, space exploration, logistics, and astronomy. Industry 5.0 is a development that aims to combine human specialists' creativity with accurate, intelligent, and efficient technologies to revolutionize manufacturing processes worldwide. Therefore, in the age of Industry 5.0, there is a great demand for Cobots with high, quick advancement, and low costs. Industry evolution, fundamentals of Cobots, how they differ from robots, key features, basic components, the significant role of Cobots in Industry 5.0, challenges and limitations, future scope, and ethical aspects of Cobots are covered in this chapter. This book chapter is a comprehensive manual for academic researchers and corporate executives to learn about Cobots completely.  2024, IGI Global. All rights reserved.</text>
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                <text>Saseekala M.; Raj M.S.; Anu P.</text>
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                <text>Harnessing Artificial Emotional Intelligence for Improved Human-Computer Interactions, pp. 243-262.</text>
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                <text>&lt;a href="https://doi.org/10.4018/979-8-3693-2794-4.ch014" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.4018/979-8-3693-2794-4.ch014&lt;/a&gt;
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                <text>Saseekala M., Christ University, Bangalore, India; Raj M.S., Vellore Institute of Technology, Vellore, India; Anu P., SASTRA University, India</text>
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                <text>Coca-Cola product placement strategy backfires  a case of celebrity activism</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>Athlete activism; Branding; Celebrity activism; Celebrity endorsement; Product placement</text>
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                <text>Research methodology: A secondary research method was used to collect data for this case. The authors have made use of newspaper articles and published articles written by journalists and experts which are available in the public domain. Case overview/synopsis: Instances of celebrity activism such as athlete activism are rising. Social media has amplified the voice of celebrities and given them a personal channel to directly communicate with their fans without any media censorship. The same is true especially concerning endorsement by sports superstars, who now seem to have a mind of their own, independent of the official line of clubs, tournament organizers or sponsoring companies. This case discusses the embarrassment and financial loss faced by soft drinks giant Coca-Cola due to the public snub by football superstar Cristiano Ronaldo during an official press conference of the EURO 2020 championship. Complexity academic level: Undergraduate and postgraduate students studying marketing management and brand management courses in business management and commerce streams can use this case. This case can also be used for marketing specialization students at the undergraduate and postgraduate levels.  2023, Emerald Publishing Limited.</text>
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                <text>Saldanha A.; Aranha R.</text>
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                <text>CASE Journal, Vol-19, No. 5, pp. 737-745.</text>
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                <text>Emerald Publishing</text>
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                <text>2023-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1108/TCJ-07-2021-0103" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1108/TCJ-07-2021-0103&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164479975&amp;amp;doi=10.1108%2FTCJ-07-2021-0103&amp;amp;partnerID=40&amp;amp;md5=42d004aebb16f5d354611200251caafb" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164479975&amp;amp;doi=10.1108%2fTCJ-07-2021-0103&amp;amp;partnerID=40&amp;amp;md5=42d004aebb16f5d354611200251caafb&lt;/a&gt;</text>
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            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="94858">
                <text>Restricted Access</text>
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                <text>ISSN: 15449106</text>
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                <text>Saldanha A., Department of Marketing, St. Joseph's Institute of Management, Bangalore, India; Aranha R., Department of HR, School of Business and Management, CHRIST (Deemed to be University, Bangalore, India</text>
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      <name>Article</name>
      <description>Faculty Publications -Articles</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="80322">
                <text>Cocos nucifera L.-derived porous carbon nanospheres/ZnO composites for energy harvesting and antibacterial applications</text>
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          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="80323">
                <text>Antibacterial activity; Carbon nanomaterials; Counter electrode; DSSC; Green synthesis</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="80324">
                <text>Carbon nanomaterials (CNMs) have been the subject of extensive research for their potential applications in various fields, including photovoltaics and medicine. In recent years, researchers have focused their attention on CNMs as their high electrical conductivity, low cost, and large surface area are promising in replacing traditional platinum-based counter electrodes in dye-sensitized solar cells (DSSC). In addition to their electrical properties, CNMs have also displayed antibacterial activity, making them an attractive option for medical applications. The combination of CNMs with metal oxides to form composite materials represents a promising approach with significant potential in various fields, including energy and biology. Here, we introduce porous carbon nanospheres (PCNS) derived from Cocos nucifera L. and its ZnO composite (PCNS/ZnO) as an alternative material, which opens up new research insights for platinum-free counter electrodes. Bifacial DSSCs produced using PCNS-based counter electrodes achieved power conversion efficiencies (PCE) of 3.98% and 2.02% for front and rear illumination, respectively. However, with PCNS/ZnO composite-based counter electrodes, the efficiency of the device increased significantly, producing approximately 5.18% and 4.26% for front and rear illumination, respectively. Moreover, these CNMs have shown potential as antibacterial agents. Compared to PCNS, PCNS/ZnO composites exhibited slightly superior antibacterial activity against tested bacterial strains, including gram-positive Bacillus cereus (B. cereus) and Staphylococcus aureus (S. aureus), and gram-negative Vibrio harveyi (V. harveyi) and Escherichia coli (E. coli) with MIC values of 125, 250, 125, and 62.5g/ml, respectively. It is plausible that the outcomes observed were influenced by the synergistic effects of the composite material. Graphical abstract: (Figure presented.)  The Author(s), under exclusive licence to Korean Carbon Society 2024.</text>
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            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="80325">
                <text>Varghese M.; Ninan G.G.; Jayaram S.; Sarojini S.; Balachandran M.</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="80326">
                <text>Carbon Letters, Vol-34, No. 5, pp. 1399-1411.</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="80327">
                <text>Springer</text>
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              <elementText elementTextId="80328">
                <text>2024-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1007/s42823-024-00703-7" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/s42823-024-00703-7&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187455695&amp;amp;doi=10.1007%2Fs42823-024-00703-7&amp;amp;partnerID=40&amp;amp;md5=b9e73d90119ff3663c07a54a902bec7e" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187455695&amp;amp;doi=10.1007%2fs42823-024-00703-7&amp;amp;partnerID=40&amp;amp;md5=b9e73d90119ff3663c07a54a902bec7e&lt;/a&gt;</text>
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          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="80330">
                <text>Restricted Access</text>
              </elementText>
            </elementTextContainer>
          </element>
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            <name>Relation</name>
            <description>A related resource</description>
            <elementTextContainer>
              <elementText elementTextId="80331">
                <text>ISSN: 19764251</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="42">
            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
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            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="80333">
                <text>English</text>
              </elementText>
            </elementTextContainer>
          </element>
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            <name>Type</name>
            <description>The nature or genre of the resource</description>
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              <elementText elementTextId="80334">
                <text>Article</text>
              </elementText>
            </elementTextContainer>
          </element>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
            <elementTextContainer>
              <elementText elementTextId="80335">
                <text>Varghese M., Department of Physics and Electronics, Christ University, Karnataka, Bengaluru, 560029, India; Ninan G.G., Department of Physics and Electronics, Christ University, Karnataka, Bengaluru, 560029, India; Jayaram S., Department of Life Sciences, Christ University, Karnataka, Bengaluru, 560029, India; Sarojini S., Department of Life Sciences, Christ University, Karnataka, Bengaluru, 560029, India; Balachandran M., Department of Physics and Electronics, Christ University, Karnataka, Bengaluru, 560029, India</text>
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  <item itemId="13147" public="1" featured="0">
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          <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
          <elementContainer>
            <element elementId="50">
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              <description>A name given to the resource</description>
              <elementTextContainer>
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    <itemType itemTypeId="19">
      <name>Article</name>
      <description>Faculty Publications -Articles</description>
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      <elementSet elementSetId="1">
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        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="80991">
                <text>CoFe2O4 nanoparticles embedded 2D Cr2CTx MXene: A new material for battery like hybrid supercapacitors and oxygen evolution reaction</text>
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          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="80992">
                <text>CoFe&lt;sub&gt;2&lt;/sub&gt;O&lt;sub&gt;4&lt;/sub&gt;; Cr&lt;sub&gt;2&lt;/sub&gt;CT&lt;sub&gt;x&lt;/sub&gt; MXene; Energy Storage; Hybrid supercapacitors</text>
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            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="80993">
                <text>The progress of effective electrode materials for high-performance supercapacitors is one of the most cutting-edge fields of study in the search for alternative and renewable energy uses. 2D MXenes, with their distinctive physiochemical features, have successfully improved the electrode materials by imparting superior energy storage, thus distinguishing themselves among electrode materials. A new class of cobalt ferrite nanoparticles embedded Cr2CTx MXene sheets have been fabricated and tested for supercapacitor applications. Notably, the cobalt ferrite acts as interlayer spacers between Cr2CTx MXene layers. The Cobalt ferrite/Cr2CTx MXene composite offers enhanced supercapacitive features compared to pristine cobalt ferrite or Cr2CTx MXene sheets. The cobalt ferrite/Cr2CTx MXene nanocomposite shows a maximal specific capacity of 763.83C g?1 (1909.6 F g?1) at 1 A g?1. The fabricated device using the prepared material exhibited a capacitance retention of 99 % up to 2500 cycles. Also, this attractive nanocomposite displays a charge transfer resistance of only 0.25 ?, which is highly beneficial to charge-discharge at higher current rates.  2024 Elsevier Ltd</text>
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            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="80994">
                <text>Reghunath B.S.; Sunaja Devi K.R.; Rajasekaran S.; Saravanakumar B.; William J.J.; Pinheiro D.</text>
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            <elementTextContainer>
              <elementText elementTextId="80995">
                <text>Journal of Energy Storage, Vol-84</text>
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            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="80996">
                <text>Elsevier Ltd</text>
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              <elementText elementTextId="80997">
                <text>2024-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.est.2024.110775" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.est.2024.110775&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184665176&amp;amp;doi=10.1016%2Fj.est.2024.110775&amp;amp;partnerID=40&amp;amp;md5=58cf393a11556fde1e6acad8d1e57221" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184665176&amp;amp;doi=10.1016%2fj.est.2024.110775&amp;amp;partnerID=40&amp;amp;md5=58cf393a11556fde1e6acad8d1e57221&lt;/a&gt;</text>
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            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="80999">
                <text>Restricted Access</text>
              </elementText>
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              <elementText elementTextId="81000">
                <text>ISSN: 2352152X</text>
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            <description>A language of the resource</description>
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                <text>English</text>
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                <text>Reghunath B.S., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Sunaja Devi K.R., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Rajasekaran S., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Saravanakumar B., Department of Physics, Dr. Mahalingam College of Engineering and Technology, Tamil Nadu, Pollachi, 642003, India; William J.J., Department of Physics, Dr. Mahalingam College of Engineering and Technology, Tamil Nadu, Pollachi, 642003, India; Pinheiro D., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India</text>
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                <text>An innovative and cost effective electrochemical sensor was fabricated to determine tacrolimus (TAC) in pharmaceutical samples. In the present study, cobalt ferrite nanoparticles (CFO) were synthesized hydrothermally using chitosan as the template and were further functionalized using (3-Aminopropyl) triethoxysilane (APTES). The synthesized CFO were characterized using various analytical techniques such as X-ray diffraction, Fourier transform infrared spectroscopy, scanning electron microscopy, vibrating sample magnetometry and high- resolution transmission electron microscopy. The CFO and CFO-APTES were further drop-casted on to the glassy carbon electrode (CFO-NH2/GCE) for the electrochemical determination of TAC. Under the optimum conditions, the CFO-NH2/GCE showed a very low detection limit of 0.03 nM with a high sensitivity of 21,448 ?A?M?1cm?2 and a wide linear TAC concentration range of 0.14 nM  75.83 nM. The proposed sensor showed good sensitivity, selectivity, reproducibility and stability for the sensing of TAC and this has been demonstrated by analysing TAC in different dosage forms. This is the first study to report the interaction of CFO-TAC and CFO-NH2-TAC at the electrode/electrolyte interface. To support the experimental findings qualitatively, extensive density functional theory simulations were carried out to study the interaction at the interface. Hence the proposed sensor is very selective and sensitive towards the detection of TAC.  2022 Elsevier B.V.</text>
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                <text>Seeking high-efficiency and stable electrocatalysts remains key to boosting electrocatalytic water splitting. Herein, a well-designed nontoxic MXene based composite, Ti3C2-CoFe2O4/g-C3N4 is prepared via ultrasonication for enhancing the hydrogen evolution reaction (HER). Intercalation of CoFe2O4 and g-C3N4 within the multi-layered Ti3C2 MXene results in improved properties such as high surface area, large pore volume, and a low restacking tendency that leads to enhanced electrochemical active sites, high charge carrier separation, and stability. The prepared composite is characterized via various physicochemical techniques. The amalgamated composite shows a lower overpotential of 223 mV in an alkaline medium at a current density of 10 mA cm?2. The Tafel slope and charge transfer resistance (Rct) value for the HER are 48.5 mV dec?1 and 3.94 ?, respectively. The heterojunction formation improves the efficacy of the MXene composite and provides a new perception that can be beneficial for water splitting applications.  2023 The Royal Society of Chemistry.</text>
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                <text>Sustainable Energy and Fuels, Vol-7, No. 11, pp. 2601-2612.</text>
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                <text>In a world characterized by constant changes, organizations grapple with the complex task of understanding and enhancing human behavior within their ranks. The burgeoning interest in cognitive behavioral neuroscience (CBN) for unraveling the intricacies of organizational dynamics has paved the way for a groundbreaking shift. However, the application of CBN in Human Resource Development and Management (HRDM) remains in its infancy, creating a void between scientific inquiry and practical implementation. As organizations yearn for evidence-based strategies to enhance talent identification, team selection, training, and overall performance, a critical need emerges for a comprehensive guide that bridges this gap. Cognitive Behavioral Neuroscience in Organizational Settings is a groundbreaking book that illuminates the unexplored territory of CBN in HRDM. Positioned as a catalyst for change, this comprehensive guide serves as the linchpin connecting theoretical foundations with real-world applications. Seamlessly navigating through the basics of neuroscience, the anatomy and functions of the brain, and the role of neuroscience in organizational behavior, establishes the groundwork for a new academic discipline. By delving into higher cognitive processes, artificial intelligence integration, neuroscience methods, and CBN-based interventions, the book offers a roadmap to revolutionize how organizations understand, manage, and enhance their human capital. This book is not just a scholarly exploration; it is a call to action. For academic scholars seeking to contribute to the evolution of CBN in HRDM, this is a unique opportunity to be at the forefront of a transformative movement. Pioneering the integration of innovative neuroscience techniques, artificial intelligence, and practical interventions, this guide empowers scholars to actively shape the future of organizational development.  2024 by IGI Global. All rights reserved.</text>
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                <text>Reddy K.J., Christ University, India; Alfonso T., Christ University, India</text>
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                <text>Researchers have demonstrated linkages between active engagement of students with learning material and greater learning gains. Cognitive engagement is a significant component of educational experience. Understanding the challenges associated with cognitive engagement and measuring cognitive engagement in a MOOC environment is challenging. It is the need of the hour with online learning being equivalent to classroom learning in todays dynamic academic environment. The present study aims to construct cognitive engagement scale (CES) to measure the cognitive engagement of learners who sign up for the massive open online courses (MOOC). The aim of this study is dual-fold: firstly, to conceptualize the cognitive dimension of learner engagement within MOOCs, and secondly, to construct a theoretically informed scale for assessing cognitive engagement in online environments. Study presents a detailed process of the scale development, which included item generation, item evaluation, pilot testing, testing psychometric properties of the scale, and scale refinement. The researchers crafted the initial questionnaire drawing from both existing literature and personal insights. Subject matter experts then validated the items within the questionnaire and ensured its reliability through a pilot study, where it was administered to a sample of 100 participants The final version of the scale captures the four dimensions of cognitive engagement: Passive receiving, active manipulating, constructive generating, and interactive dialoguing. The present study contributes to the growing literature on cognitive engagement and adds to the existing literature of MOOC engagement scale with focus on cognitive engagement exclusively.  The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.</text>
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                <text>Tripathi V.V.; Prakasha G.S.; Lapina M.</text>
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                <text>ISSN: 23673370; ISBN: 978-303178775-1</text>
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                <text>Tripathi V.V., Christ University, Bangalore, India; Prakasha G.S., Christ University, Bangalore, India; Lapina M., North-Caucasus Federal University, Stavropol, Russian Federation</text>
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                <text>Cognitive Fuzzy-based Behavioral Learning System for Augmenting the Automated Multi-issue Negotiation in the E-commerce Applications</text>
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                <text>Cognitive learning; E-commerce application; Fuzzy-based behavioral learning; Multi-agent system; Negotiation system</text>
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                <text>Evolution of agent-based technology presents behavioral learning and sustainable negotiation challenges in e-commerce applications. In particular, the challenge of designing the negotiation strategy to incorporate sustainability in e-commerce business that can leverage the agent to reach its objectives by increasing the negotiation coordination and cooperation with the opponent agents. Therefore, the proposed research introduces the negotiation strategy sustainable solution using a cognitive fuzzy-based behavioral learning system which can change the preferences of negotiating agents according to human psychological characteristics. It will mimic the attitudes of human risk, patience and regret during the course of bilateral negotiation and also change the preference structures according to the fuzzy logic rules. As a result, the proposed negotiation strategy makes significant improvements on various parameters such as utility value, success rate, total negotiation time, and communication overhead while changing the negotiation rounds from 50 to 500. Since this system leverages the negotiation strategy of the agent by taking appropriate decisions to reach better agreement based on the interest, belief and psychological characteristics of negotiating opponents. Moreover, the usage of negotiation in the cloud-based platform can leverage the e-commerce applications to handle as many requests as possible due to its dynamic elasticity.  2022 Taiwan Academic Network Management Committee. All rights reserved.</text>
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                <text>Rajavel R.; Komarasamy D.; Meenakshisundaram I.; Gubiniova K.; Iwendi C.</text>
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                <text>Journal of Internet Technology, Vol-23, No. 6, pp. 1335-1342.</text>
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                <text>Taiwan Academic Network Management Committee</text>
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                <text>&lt;a href="https://doi.org/10.53106/160792642022112306016" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.53106/160792642022112306016&lt;/a&gt;
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                <text>All Open Access; Bronze Open Access</text>
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                <text>Rajavel R., Department of Computer Science and Engineering, CHRIST University, India; Komarasamy D., Department of Computer Science and Engineering, Kongu Engineering College, India; Meenakshisundaram I., SITE School, Vellore Institute of Technology, India; Gubiniova K., Faculty of Management, Comenius University, Slovakia; Iwendi C., School of Creative Technologies, University of Bolton, United Kingdom</text>
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