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                <text>Effects of Euphorbia thymifolia and Euphorbia hirta leaf extracts on membrane-bound, mitochondrial enzymes and lipid profile of carbon tetrachloride-induced hepatotoxicity in rats</text>
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                <text>Hepatoprotective activity; lipid profifiles; membrane-bound; mitochondrial enzymes</text>
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                <text>The present investigation was aimed to identify the potentiality of Euphorbia thymifolia Linn. and Euphorbia hirta Linn. leaf extract on the toxin-induced (carbon tetrachloride- CCl4) Albino Wistar rats. The animals were grouped into 7 categories including control (basal diet, G1), CCl4-induced (1.5 mL/kg, b.w., i.p.) (G2), G1 administrated with 300 mg/kg b.w., extract of E. thymifolia (G3) and E. hirta (G4), G2 administrated with 300 mg/kg b.w., extract of E. thymifolia (G5), E. hirta (G6), and standard drug (silymarin 25 mg/kg b.w.; G7) for 21- days trial period with each group contains 6 rats. The samples were collected and the following parameters including mitochondrial enzymes, different ATPase and lipid profiles were analyzed. The membrane-bound enzymes, the mitochondrial enzymes levels and the lipid profiles were reduced in the toxin-induced rats but the levels of enzymes were restored, significantly increased and lipid profiles are returned to the normal in the treatment of both extracts.  2022 Visagaa Publishing House.</text>
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                <text>Muthu Mani G.D.; Balamuralikrishnan B.; Manikandan R.; Sampathkumar P.; Arun M.; Lakshminarayanan R.R.; Liu W.-C.; Anand A.V.</text>
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                <text>Natural Resources for Human Health, Vol-2, No. 4, pp. 443-449.</text>
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                <text>All Open Access; Hybrid Gold Open Access</text>
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                <text>ISSN: 25831194</text>
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                <text>Muthu Mani G.D., Department of Biochemistry, SRM Arts and Science College, Tamil Nadu, Chennai, India; Balamuralikrishnan B., Department of Food Science and Biotechnology, College of Life Science, Sejong University, Seoul, South Korea; Manikandan R., Department of Biochemistry, Shrimati Indira Gandhi College, Tamil Nadu, Trichy, India; Sampathkumar P., Department of Chemistry and Biosciences, SASTRA University, Tamil Nadu, Kumbakonam, India; Arun M., Department of Life Science, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560076, India; Lakshminarayanan R.R., Department of Animal Sciences, Bharathiadasan University, Tamil Nadu, Tiruchirappalli, India; Liu W.-C., Department of Animal Science, College of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang, 524088, China; Anand A.V., Department of Human Genetics and Molecular Biology, Bharathiar University, Tamil Nadu, Coimbatore, India</text>
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                <text>Unveiling the Emotions: A Sentiment Analysis of Amazon Customer Feedback</text>
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                <text>This study explores sentiment analysis in the context of diverse regions and contemporary customer feedback, aiming to address research questions related to consolidation based on polarity scores and sentiments. The research utilizes multinomial regression for a comprehensive analysis of customer feedback worldwide. The investigation incorporates confusion matrices, statistics, and class-specific metrics to evaluate the models performance. Results indicate a highly accurate model with perfect sensitivity, specificity, and overall accuracy. The analysis further includes a breakdown of key metrics such as accuracy, confidence intervals, no information rate, p-value, kappa, and prevalence, emphasizing the models robustness. In conclusion, the multinomial logistic regression model demonstrates exceptional performance in predicting sentiment across diverse classes, highlighting its effectiveness in sentiment analysis on a global scale.  The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.</text>
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                <text>Muthu Ruben V.; VijayaKumar R.; Sateesh Kumar T.K.</text>
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                <text>Studies in Systems, Decision and Control, Vol-536, pp. 403-410.</text>
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                <text>Springer Science and Business Media Deutschland GmbH</text>
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                <text>ISSN: 21984182</text>
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                <text>Muthu Ruben V., School of Law, Christ University, Bangalore, India; VijayaKumar R., Kristu Jayanti College (Autonomous), Bangalore, India; Sateesh Kumar T.K., Kristu Jayanti College (Autonomous), Bangalore, India</text>
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                <text>DFT electronic structure calculations, spectroscopic studies, and normal coordinate analysis of 2-[(5-nitro-1,3-thiazol-2-yl)carbamoyl]phenyl acetate</text>
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                <text>DFT; FTIR and FT-Raman spectra; HOMO-LUMO; NBO; NCA</text>
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                <text>The solid phase FTIR and FT-Raman spectra of 2-[(5-nitro-1,3-thiazol-2-yl)carbamoyl]phenyl acetate (25N2LCPA) have been recorded 450-4000 cm-1 and 100-4000 cm-1 respectively. The normal coordinate analysis was carried out to confirm the precision of the assignments. DFT calculations have been performed giving energies, optimized structures, harmonic vibrational frequencies and IR intensities. The structure of the molecule was optimized and the structural characteristics were determined by density functional theory (DFT) using B3LYP method with 6-31+G(d,p) basis set. The detailed interpretation of the vibrational spectra has been carried out with aid of normal coordinate analysis (NCA) following the scaled quantum mechanical force field methodology. The Vibrational frequencies are calculated in the above method and are compared with experimental frequencies which yield good agreement between observed and calculated frequencies. Stability of the molecule arising from hyper conjugative interactions, charge delocalization has been analyzed using natural bond orbital (NBO) analysis. In addition, Frontiers molecular orbital and molecular electrostatic potential were computed by using Density Functional Theory (DFT) B3LYP/6-31+G(d,p) basis set. The calculated HOMO and LUMO energies show that charge transfer occurs in the molecule.  2014 Elsevier B.V. All rights reserved.</text>
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                <text>Muthu S.; Elamuruguporchelvi E.; Varghese A.</text>
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                <text>Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy, Vol-138, pp. 743-752.</text>
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                <text>Elsevier</text>
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                <text>2015-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.saa.2014.11.035" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.saa.2014.11.035&lt;/a&gt;
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                <text>ISSN: 13861425; PubMed ID: 25544190; CODEN: SAMCA</text>
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                <text>Muthu S., Department of Physics, Sri Venkateswara College of Engg, Sriperumbudur, Tamil Nadu, 602105, India; Elamuruguporchelvi E., Department of Physics, Kanchi Pallavan Engineering College, Kanchipuram, Tamil Nadu, 631502, India; Varghese A., Department of Chemistry, Christ University, Bangalore, 560029, India</text>
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                <text>Machine learning (ML) has enabled transformative applications and emerged as a domain-agnostic decision-making tool as a virtue of its rapid democratization. The authors believe that a systematic assortment of important publications on this issue is indispensable in this context. In terms of data ingestion, data curation, data preprocessing, data handling, and model cross-validation, this review gathers together several studies that have demonstrated a minimum ML framework approach. In general, ML models are described as black-box models, with limited information supplied about their transparency. The authors propose techniques based on the US Food and Drug Administration (FDA)'s current good ML practice (GMLP) in order to improve the ML framework and minimize the aforementioned gap, especially for data. Considering this, the conversation around a model's logic and interpretability are additionally provided. Explicitly, the authors explore the challenges and constraints that ML execution confronts throughout the development of pharmaceuticals. In this context, a structural approach in statistics is presented to allow the scientist to assess the quality of data and incorporate important ideas and techniques that would be implemented in modern ML. The data analytics tetrahedron proposed here can be applied to data of any size. To further contextualize, selected case studies capturing good practices are highlighted to provide pharmaceutical scientists, pharmaceutical ML enthusiasts, readers, reviewers, and regulatory authorities an exposure to fundamental and cuttingedge techniques of ML and data science with respect to chemistry, manufacture, and control (CMC) of drug products. In addition, the authors believe that leveraging ML within CMC procedures can assist in improving decision-making, increasing quality, and enhancing the speed of pharmaceutical product development.  IOP Publishing Ltd 2023. All rights reserved.</text>
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                <text>Muthudoss P.; Ali H.; Ramasamy G.; Allada R.; Fink E.; Kalaiselvan V.; Jayakrishnan B.; Shahane S.; Ramalingam M.; Kanakaraj L.; Kaliappan I.; Paudel A.</text>
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                <text>Advances in Drug Delivery Systems for Healthcare: From concept to clinic, pp. 9-.</text>
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                <text>ISBN: 978-075035615-2; 978-075035611-4</text>
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                <text>Muthudoss P., A2Z4.0 Research and Analytics Private Limited, Chennai, 600062, India; Ali H., Christ University, Bangalore, 560029, India; Ramasamy G., Christ University, Bangalore, 560029, India; Allada R., Novugen Pharma (Malaysia) Sdn Bhd, Hicomglenmarie Industrial Park, 3, Jalan Jururancang U1/21, Selangor, 40150, Malaysia; Fink E., Research Center Pharmaceutical Engineering GmbH (RCPE), Inffeldgasse 13, Graz, 8010, Austria; Kalaiselvan V., Indian Pharmacopoeia, Commission, Ministry of Health and Family Welfare, Government of India, Sector 23, Rajnagar, 201002, India; Jayakrishnan B., Business School, Vellore Institute of Technology (VIT), Chennai Campus, Kekottaiyur, 600127, India; Shahane S., The Machine Learning Company, Maharashtra, India; Ramalingam M., Chettinad School of Pharmaceutical Sciences, Chettinad Academy of Research and Education, Chettinad Health City, Chennai, 603103, India; Kanakaraj L., Chettinad School of Pharmaceutical Sciences, Chettinad Academy of Research and Education, Chettinad Health City, Chennai, 603103, India; Kaliappan I., SRM College of Pharmacy, SRM Institute of Science and Technology, Kattankulathur, India; Paudel A., Graz University of Technology, Institute of Process and Particle Engineering, Inffeldgasse 13/3, Graz, 8010, Austria</text>
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                <text>Teacher Trainee's Acceptance of Interactive eBooks for Teaching: An Analysis Using the Modified Technology Acceptance Model (TAM)</text>
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                <text>Interactive eBooks; quality education; teacher training; technology acceptance model (TAM); technology-integrated teaching</text>
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                <text>The current empirical study utilized the Technology Acceptance Model (TAM) to investigate teacher trainees' acceptance of interactive eBooks for teaching. The study investigated the relationships among variables such as attitude toward using interactive eBooks, perceived ease of use, perceived usefulness, enjoyment, perceived self-efficacy, and behavioural intention to use. A sample consisting of 89 teacher trainees studying in diploma and bachelors teacher training programs from two private and public universities in Malaysia participated in the study. The TAM model, which involves seven hypotheses, was tested using the Partial Least Square Structural Equation Modelling approach (PLS-SEM). The key findings of this empirical study confirmed that attitude influences both behaviour intention to use, and perceived self-efficacy of teacher trainees in teaching using interactive eBooks. Besides, the study confirmed a direct effect of ease of use on the level of enjoyment and a direct effect of perceived usefulness on the perception of ease of use. The study findings shed light on preparing teacher trainees for technology-integrated teaching.  2024, The Pacific Association for Computer Assisted Language Learning (PacCALL). All rights reserved.</text>
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                <text>Muthukrishnan P.; Aravind B.R.; Salim E.J.H.; Balakrishnan S.V.; Kaur B.; Prakasha G.S.</text>
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                <text>CALL-EJ, Vol-25, No. 2, pp. 109-129.</text>
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                <text>The Pacific Association for Computer Assisted Language Learning (PacCALL)</text>
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                <text>ISSN: 21879036</text>
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                <text>Muthukrishnan P., Faculty of Education and Liberal Arts, INTI Intl University, Malaysia; Aravind B.R., Faculty of English, Kalasalingam Academy of Research and Education, India; Salim E.J.H., Department of Education, HELP University, Malaysia; Balakrishnan S.V., Institut Pendidikan Guru Malaysia Kampus Pendidikan Teknik, Nilai, Malaysia; Kaur B., Department of Education, HELP University, Malaysia; Prakasha G.S., School of Education, Christ University, Bangalore, India</text>
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              <elementText elementTextId="93313">
                <text>Computer modelling of trace SO2 and NO2 removal from flue gases by utilizing Zn(ii) MOF catalysts</text>
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          <element elementId="41">
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            <description>An account of the resource</description>
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                <text>SO2 and NO2 capture and conversion have been investigated via density functional theory (DFT) and grand canonical Monte Carlo (GCMC) simulations using a novel hydrogen-bonded 3D metal-organic framework (MOF) containing a Zn(ii) centre and a partially fluorinated (polar -CF3) long-chain dicarboxylate ligand with a melamine (basic -NH2) co-ligand. Initially, computational single-component isotherms have been determined for SO2 and NO2 gases. These simulations have shown exothermic adsorption enthalpies of ?36.4 and ?28.6 kJ mol?1 for SO2 and NO2, respectively. They have also indicated that SO2 has a high affinity for polar -CF3 and basic -NH2 binding sites of the ligand in the framework pore walls. The lower adsorption capacity of NO2 compared with SO2 is due to weaker electrostatic interactions with the framework. Furthermore, MOF adsorbent selectivity for removing trace amounts of SO2 and NO2 in flue gases has been estimated through the co-adsorption of ternary gas mixtures (SO2/CO2/N2 and NO2/CO2/N2). Together with DFT, the climbing image nudged elastic band (CI-NEB) method has been used for investigating the plausible mechanisms for HbMOF1 catalyzed cycloadditions of SO2 and NO2 with epoxides leading to the formation of cyclic sulphites and nitrates, respectively.  2023 The Royal Society of Chemistry.</text>
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              <elementText elementTextId="93315">
                <text>Muthukumar D.; Nagaraja C.M.; Badawi M.; Pillai R.S.</text>
              </elementText>
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              <elementText elementTextId="93316">
                <text>New Journal of Chemistry, Vol-47, No. 38, pp. 18086-18095.</text>
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            <elementTextContainer>
              <elementText elementTextId="93317">
                <text>Royal Society of Chemistry</text>
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              <elementText elementTextId="93318">
                <text>2023-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1039/d3nj01805a" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1039/d3nj01805a&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173026815&amp;amp;doi=10.1039%2Fd3nj01805a&amp;amp;partnerID=40&amp;amp;md5=f1b85231a1666dacbf92b78c5f724e75" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173026815&amp;amp;doi=10.1039%2fd3nj01805a&amp;amp;partnerID=40&amp;amp;md5=f1b85231a1666dacbf92b78c5f724e75&lt;/a&gt;</text>
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              <elementText elementTextId="93320">
                <text>Restricted Access</text>
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                <text>ISSN: 11440546; CODEN: NJCHE</text>
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              <elementText elementTextId="93323">
                <text>English</text>
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                <text>Muthukumar D., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, India, Laboratoire de Physique et Chimie Thriques UMR CNRS 7019 Universitde Lorraine, Nancy, France; Nagaraja C.M., Department of Chemistry, Indian Institute of Technology, Ropar, Punjab, Rupnagar, 140001, India; Badawi M., Laboratoire de Physique et Chimie Thriques UMR CNRS 7019 Universitde Lorraine, Nancy, France; Pillai R.S., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, India, Analytical and Spectroscopy Division, ASCG/PCM, Vikram Sarabhai Space Centre, Indian Space Research Organization, Kerala, Thiruvananthapuram - 695 022, India</text>
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          <element elementId="50">
            <name>Title</name>
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            <elementTextContainer>
              <elementText elementTextId="92744">
                <text>Prediction of the capture and utilization of atmospheric acidic gases by azo-based square-pillared fluorinated MOFs</text>
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              <elementText elementTextId="92745">
                <text>More than the permissible limit of acidic gases like CO2, SO2, and NO2 in the atmosphere are responsible for the formation of acid rain, the greenhouse effect and many other undesirable environmental hazards. So, the capture and utilization of these gases are essential for mankind. Herein, we proposed an azo-based square pillared MOF, [Ni(MF5)(1,2-bis(4-pyridy)diazene)2]n, with the CUS metal site, i.e. M = Al/Fe, for the selective capture and conversion of acidic gas molecules into commodity chemicals such as cyclic carbonate, sulphite and nitrite. With the aid of Density Functional Theory (DFT), [Ni(MF5)(1,2-bis(4-pyridy)diazene)2]n has been optimized, and the specific force field is derived via guest-host interaction. The Grand Canonical Monte Carlo (GCMC) simulation has been used to explore the guest-host interactions over a wide range of pressures, and their respective stability under pre-humidification is evaluated. The adsorption prediction reveals that MFFIVE-Ni-apy have a higher adsorptive capacity (37.1 mmol g?1), and especially ALFFIVE-Ni-apy possesses a higher affinity towards guest molecules (CO2, SO2) rather than FEFFIVE-Ni-apy. Additionally, the adsorption of gases in the presence of humidity reveals that ALFFIVE-Ni-apy has an optimal adsorption capacity for all investigated acidic gases even at 38.5 RH%. The absorbed acidic gases on MFFIVE-Ni-apy were used for the theoretical investigations on cycloaddition with the aid of DFT as an application perspective of the toxic gases instead of expelling into atmosphere. The Climbing Image Nudged Elastic Band (CI-NEB) approach was used to discover the transition state in this scenario, in which the cycloaddition of adsorbed CO2, SO2, and NO2 gases with epoxides leads to the formation of cyclic carbonates, sulphites, and nitrates, respectively.  2023 The Royal Society of Chemistry.</text>
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              <elementText elementTextId="92746">
                <text>Muthukumar D.; Palakkal A.S.; Pillai R.S.</text>
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            </elementTextContainer>
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                <text>Muthukumar D., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560, India; Palakkal A.S., Department of Chemistry, SRM Institute of Science and Technology, Tamil Nadu, Kattankulathur, 603, India; Pillai R.S., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560, India, Analytical and Spectroscopy Division, ASCG/PCM, Vikram Sarabhai Space Center, Indian Space Research Organisation, Kerala, Thiruvananthapuram, 695022, India</text>
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                <text>Artificial Intelligence, the name itself depicts the meaning that providing the knowledge of human to the machine artificially. AI is not a sense or feeling but the software or a model evolved to do complex tasks like human beings. With the invention of computer it has become so easy to do day to day jobs without much effort. HCI is all about interacting with computers. Now-a days it is possible to mesh with the computer through voice, touch, eye movement, and hand gestures. HCI has many challenges but has established in grand manner with the support of Artificial Intelligence. This study provides some important roles of Artificial Intelligence in HCI and its future development.  2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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                <text>Lecture Notes in Networks and Systems, Vol-757 LNNS, pp. 1089-1100.</text>
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                <text>Muthumari S., S. S. Duraisamy Nadar Mariammal College, Tamil Nadu, Kovilpatti, India; Sangeetha G., Arulmigu Subramania Swamy Arts and Science College, Tamil Nadu, Vilathikulam, India; Venkata Lakshmi S., K.L.N College of Engineering, Madurai, India; Suganthi J., School of Sciences, Christ (Deemed to be) University, Bengaluru, India</text>
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                <text>An investigation on structural, electrical and optical properties of GO/ZnO nanocomposite</text>
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                <text>Coupling of graphene oxide with metal oxide is an effective way to enhance the opto-electric properties of the composite. Herein, a hybrid structure of graphene oxide (GO) -Zinc oxide (ZnO) nanostructure was successfully designed and fabricated with varying concentrations of ZnO. The GO and ZnO nanoparticles were synthesized through Hummer's and simple precipitation method respectively. Structural and physiochemical properties were examined via X-ray powder diffraction, FTIR and UV-Vis spectroscopy. The XRD results of GO showed a peak at 2? of 12.02 with particles of size 6nm and inter layer spacing 0.87 nm. The XRD patterns of ZnO nanoparticles showed a hexagonal unit cell structure and the average dimension of the sample was calculated to be 15 nm. The band gap of the synthesized GO is found to be 5.1 eV and that of ZnO to be 3.07 eV with the help Tauc plot. The dependence of various concentration of ZnO on the electrical behaviour is discussed by an impedance analyzer in the frequency range 100Hz to 1MHz. The ZnO/GO composite with best results have been obtained for 20% and 60 % ratios of ZnO. The composite has high dielectric permittivity and low loss tangent values and is identified as a promising candidate for energy storage applications.  2019 The Authors.</text>
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                <text>Mututu V.; Sunitha A.K.; Thomas R.; Pandey M.; Manoj B.</text>
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                <text>International Journal of Electrochemical Science, Vol-14, No. 4, pp. 3752-3763.</text>
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                <text>&lt;a href="https://doi.org/10.20964/2019.04.49" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.20964/2019.04.49&lt;/a&gt;
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                <text>All Open Access; Hybrid Gold Open Access</text>
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                <text>ISSN: 14523981</text>
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                <text>Mututu V., Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, Karnataka, India; Sunitha A.K., Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, Karnataka, India; Thomas R., Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, Karnataka, India; Pandey M., Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, Karnataka, India; Manoj B., Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, Karnataka, India</text>
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                <text>This theoretical investigation examines the nonlinear convective heat transport and multilayer flow of a non-Newtonian fluid within a vertical slab, incorporating viscous heating effects. The middle layer of the slab contains a third-grade fluid, while the outer layers are filled with a water-based Ag-MgO hybrid nanoliquid. Continuity in temperature, heat flux, velocity, and shear stress is maintained at the interfaces of the fluid layers. The thermal buoyancy force is modeled using the nonlinear Boussinesq approximation. The governing system comprises conservation equations for mass, momentum (Navier-Stokes), and energy for each of the three layers. These differential equations are non-dimensionalized, and the resulting dimensionless four-point nonlinear boundary value problem is transformed into a two-point boundary value problem before being solved numerically. For limiting cases, analytical and semi-analytical solutions are computed and used as benchmark results to validate the numerical method employed. Entropy generation analysis indicates that higher third-grade fluid parameters reduce the magnitude of velocity and temperature fields, as well as entropy production across all regions. The third-grade fluid parameter shows a decreasing influence on velocity and temperature fields throughout the system. The continuity of interfacial conditions induces a dragging effect; despite the absence of third-grade fluid parameters in regions I and III, their influence is apparent in these regions. The Bejan number slightly decreases at the walls with increasing third-grade fluid parameters, exhibiting a dual effect in the third-grade fluid layer. Near the walls, the Bejan number decreases as the nanoparticle volume fraction increases. Findings of this work may have applications in polymer industries and processes involving high temperatures.  2024</text>
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                <text>Myson S.; Basavarajappa M.; Vajravelu K.</text>
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                <text>ISSN: 26668181</text>
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                <text>Myson S., Center for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Basavarajappa M., Center for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India, Department of Mathematics and Physics, Texas A&amp;amp;M International University, Laredo, 78041, TX, United States; Vajravelu K., Department of Mathematics, University of Central Florida, Orlando, 32816, FL, United States</text>
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                <text>Convective instability analysis of couple-stress dielectric fluid saturated anisotropic porous medium with radiation effect</text>
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                <text>Anisotropy; Couple-stress dielectric fluid; Galerkin method; MilneEddington approximation; Radiation; Rayleigh-Bard convection</text>
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                <text>Purpose: The effects of anisotropy and radiation cannot be considered negligible while investigating the stability of the fluid in convection. Hence, the purpose of this paper is to analyze how these effects could affect the system while considering a couple-stress dielectric fluid. Therefore, the study establishes the effect of thermal radiation in a couple-stress dielectric fluid with an anisotropic porous medium using Goody's approach (Goody, 1956). Design/methodology/approach: To analyze the effect of radiation on the onset of convection, the MilneEddington approximation is employed to convert radiative heat flux to thermal heat flux. The equations are further developed to approximate for transparent and opaque medium. Stability of the quiescent state within the framework of linear theory is performed. The principle of exchange of stabilities is shown to be valid by means of single-term Galerkin method. Large values of conductionradiation and absorptivity parameters are avoided as fluid is considered as liquid rather than gas. Findings: The radiative heat transfer effect on a couple-stress dielectric fluid saturated anisotropic porous medium is examined in terms of MilneEddington approximation. The effect of couple-stress, dielectric, anisotropy and radiation parameters are analyzed graphically for both transparent and opaque medium. It is observed that the conductionradiation parameter stabilizes the system; in addition, the critical DarcyRayleigh number also shows a stabilizing effect in the absence of couple-stress, dielectric and anisotropy parameters, for both transparent and opaque medium. Furthermore, the absorptivity parameter stabilizes the system in the transparent medium, whereas it exhibits a dual effect in the case of an opaque medium. It was also found that an increase in thermal and mechanical anisotropy parameters shows an increase in the cell size, whereas the increase in DarcyRoberts number and conductionradiation parameter decreases the cell size. The validity of principle of exchange of stability is performed and concluded that marginal stability is the preferred mode than oscillatory. Originality/value: The effects of anisotropy and radiation on RayleighBard convection by considering a couple-stress dielectric fluid has been analyzed for the first time.  2020, Emerald Publishing Limited.</text>
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                <text>Myson S.; Nagouda S.S.</text>
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                <text>Multidiscipline Modeling in Materials and Structures, Vol-16, No. 5, pp. 1019-1039.</text>
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                <text>ISSN: 15736105</text>
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                <text>Myson S., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, India; Nagouda S.S., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, India</text>
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                <text>Narratives on using critical approaches in teacher education</text>
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                <text>Using the approach of autoethnographic narrative, three teacher educators from a cosmopolitan city in South India discuss how they use critical approaches in preparing preservice teachers and educational psychologists in the courses that they teach at a private university. The students are sensitized about the marginalized and the privileged sections in a multicultural and multilingual nation as India and to become culturally responsive in their classrooms or with their clientele in terms of their dispositions, knowledge, and skills. The chapter also describes the integration of critical approaches in the doctoral program aimed at addressing educational disparities and promoting social justice in education.  2024, IGI Global. All rights reserved.</text>
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                <text>Mysore A.R.</text>
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                <text>Challenging Bias and Promoting Transformative Education in Public Schooling Through Critical Literacy, pp. 76-95.</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85194997881&amp;amp;doi=10.4018%2F978-1-6684-9670-1.ch005&amp;amp;partnerID=40&amp;amp;md5=e05f3676456ac541ca1a2e7583b253ad" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85194997881&amp;amp;doi=10.4018%2f978-1-6684-9670-1.ch005&amp;amp;partnerID=40&amp;amp;md5=e05f3676456ac541ca1a2e7583b253ad&lt;/a&gt;</text>
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                <text>Mysore A.R., Christ University, India</text>
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                <text>Phytochemicals for neurodegeneration and neuroinflammation: medicine of the future or a mirage?</text>
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          <element elementId="49">
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                <text>Bioavailability; Neurodegeneration; Neuroinflammation; Phytotherapy; Polyphenols</text>
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                <text>Dietary polyphenols cease to be mere nutrients but have immense health enhancing and disease modifying effects. Phytochemical-based therapeutic approaches for neurodegenerative diseases are becoming increasingly popular. This may be attributed to the lack of long-term benefits or adverse effects of current pharmacotherapy. Polyphenols target multiple pathways and their long-term use could prove beneficial for diseases involving multiple etiological factors. While polyphenols are nontoxic and oral route is the preferred mode of administration, bioavailability in the brain is limited rendering the neuroprotective efficacy questionable. Methods employing synthetic biopolymers, nanoformulations, liposomal carriers, or conjugation have been explored to enhance the bioavailability. While results have been promising in experimental models, translation to human neurodegenerative conditions is limited. It can therefore be surmised that the present knowledge on dietary polyphenols is only the tip of the iceberg and extensive translational research is warranted to fill the gap for their therapeutic use.  2023 Elsevier Inc. All rights reserved.</text>
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                <text>Mythri R.B.</text>
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                <text>Ayurvedic Herbal Preparations in Neurological Disorders, pp. 343-366.</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176824512&amp;amp;doi=10.1016%2FB978-0-443-19084-1.00006-5&amp;amp;partnerID=40&amp;amp;md5=c2b5d313dd2353ce4b6c2df997ca5569" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176824512&amp;amp;doi=10.1016%2fB978-0-443-19084-1.00006-5&amp;amp;partnerID=40&amp;amp;md5=c2b5d313dd2353ce4b6c2df997ca5569&lt;/a&gt;</text>
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                <text>ISBN: 978-044319084-1; 978-044315396-9</text>
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                <text>Mythri R.B., Department of Psychology, Christ (Deemed to be University), Karnataka, Bengaluru, India</text>
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                <text>Biopolymers as promising vehicles for drug delivery to the brain</text>
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                <text>biopolymers; Blood brain barrier; drug targeting; neuroprotection; therapeutics</text>
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                <text>N A., Institute of Management and Commerce, Srinivas University, Mangaluru, India; Devesh S., School of Business and Management, CHRIST (Deemed to be University), Bangalore, India; M.L A., Department of Commerce, University of Mysore, Mysore, India; Suraj N., Institute of Management and Commerce, Srinivas University, Mangaluru, India; Acharya P., Department of Commerce, Mangalore University, Konaje, India; M.S D., Department of Commerce, GFGC Uppinangady, Mangalore, India</text>
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                <text>EFFECTIVENESS OF ACTIVITY BASED PROGRAM IN ENHANCING FINE MOTOR SKILLS OF CHILDREN WITH DYSPRAXIA</text>
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                <text>Parametric analysis for thermally magnetized hybrid ternary (TMHT) nanofluid flow on thin film with temperature stratification</text>
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                <text>Heat transfer; Magnetic field; Stretched surface; Temperature stratification; Ternary nanofluid</text>
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                <text>The thermophysical examination of flow field claims various applications in both scientific and industrial domains and hence it remains important to inspect especially when both the heat and mass transfer are taken simultaneously. Owning such motivation, the present study offers a response surface optimization for thermal flow field of hybrid ternary water-based aluminium, silicon and Zinc nanofluid over a stretched surface manifested with both temperature stratification and concentration stratification effects. The governing equations are formulated for mathematical model and those PDE's are reduced to ODE's by using appropriate similarity transformations. Those obtained resultant equations are solved numerically by using Runge Kutta Fehlberg fourth fifth-order (RKF 45) technique. The supremacy of essential aspects on the flow field, heat and mass transfer rates were analyzed using graphical representation. Additionally, Response surface Methodology is performed to derived the heat transfer rate as a response function for the input factors for different parameters. From the graph it is noticed that temperature profile drops as the thermal stratification parameter increases. The temperature admits the direct relation with an increase in the solid volume fraction of ternary nanofluids. From RSM it is noticed that adjusted R-squared and R-squared are obtained as 100 % accuracy of the mathematical model.  2025 The Author(s)</text>
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                <text>N T.T.; L K.; Rehman K.U.; Varma S.V.K.; Shatanawi W.; Kumar G.V.; Asghar Z.</text>
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                <text>International Journal of Thermofluids, Vol-26</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.ijft.2025.101089" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.ijft.2025.101089&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215819382&amp;amp;doi=10.1016%2Fj.ijft.2025.101089&amp;amp;partnerID=40&amp;amp;md5=b2666b6916f40751d39892f316796ecb" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215819382&amp;amp;doi=10.1016%2fj.ijft.2025.101089&amp;amp;partnerID=40&amp;amp;md5=b2666b6916f40751d39892f316796ecb&lt;/a&gt;</text>
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                <text>All Open Access; Gold Open Access</text>
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                <text>ISSN: 26662027</text>
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                <text>N T.T., Department of Mathematics, School of Applied Sciences, REVA University, Karnataka, Bengaluru, India, Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, India; L K., Department of Mathematics, School of Applied Sciences, REVA University, Karnataka, Bengaluru, India; Rehman K.U., Department of Mathematics and Sciences, College of Humanities and Sciences, Prince Sultan University, Riyadh, 11586, Saudi Arabia; Varma S.V.K., Department of Mathematics, School of Applied Sciences, REVA University, Karnataka, Bengaluru, India; Shatanawi W., Department of Mathematics and Sciences, College of Humanities and Sciences, Prince Sultan University, Riyadh, 11586, Saudi Arabia, Department of Mathematics, Faculty of Science, The Hashemite University, P.O. Box 330127, Zarqa, 13133, Jordan; Kumar G.V., Department of Mathematics, CSSR &amp;amp; SRRM Degree &amp;amp; PG College, A.P., Kamalapuram, 516289, India; Asghar Z., Department of Mathematics and Sciences, College of Humanities and Sciences, Prince Sultan University, Riyadh, 11586, Saudi Arabia</text>
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