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                <text>Risk Assessment Model for Quality Management System</text>
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                <text>Cost; Deming-Shewhart Cycle; Economic Model; PDCA; Risk Management</text>
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                <text>The ecological and economic risk assessment system and its cost were also factored into the document. The distribution of workplace challenges and hazards, represented by quantitative or subjective occupational risk metrics, was typical in the areas of building safety and environmentally responsible workers. Environmental risk assessment refers to the identification &amp;amp; evaluation of risks, the formulation &amp;amp; application of managerial decisions to lessen the chance of unfortunate conditions, and also the substantial decrease of materials or other damages. Risk assessment facilitates the transition from an area of uncertainty to one where outcomes are more or less expected. The Deming-Shewhart cycle, which would be fully linked to the policy process and performance measurement system, appears to be the implementation technique of the ecological and economic structure under consideration. It would be a cyclical sequence of the associated effective measures. A high degree of adaptability to any internally or externally stressful conditions would be ensured by the synthesis of the fundamentals of the management system &amp;amp; mechanisms for controlling environmental potential costs. This also guarantees the rapid identification of expert hazards, optimization and efficiency gains.  2022 IEEE.</text>
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                <text>Mandala G.N.; Kumar Verma S.; Rajagopal N.K.; Saranya S.; Verma D.; Samatha B.</text>
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                <text>Mandala G.N., Department of Finance, SVKM's Narsee Monjee Institute of Management Studies, Bengaluru, India; Kumar Verma S., IIMT College of Engineering, Uttar Pradesh, India; Rajagopal N.K., Business Studies, University of Technology and Applied Science, Salalah, Oman; Saranya S., Department of ECE, Panimalar Institute of Technology, Chennai, India; Verma D., School of Business and Management, Christ University, Bengaluru, India; Samatha B., Department of CSE, Vignans Foundation for Science, Technology and Research, Guntur, India</text>
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                <text>From Waste to Strength: Unveiling the Mechanical Properties of Peanut-Shell-Based Polymer Composites</text>
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                <text>biodegradability; biomass; mechanical properties; peanut shell; polymer composites; surface modification; sustainability</text>
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                <text>Peanut-shell-based polymer composites have gained significant attention as sustainable and cost-effective materials with potential applications as food packaging films, ceiling tiles, insulation panels, supercapacitors, and electrodes in various industries like the packaging industry, construction, furniture, and electronics. This review article presents a systematic roadmap of the mechanical properties of peanut-shell-based polymer composites, analyzing the influence of factors such as filler content, surface modification techniques, interfacial adhesion, and processing methods. Through an extensive literature review, we highlight the mechanical properties of peanut-shell-based polymer composites. Furthermore, challenges and ongoing research efforts in this field are discussed. This comprehensive review provides valuable insights for researchers, industry professionals, and policymakers, promoting the development and utilization of peanut-shell-based polymer composites for various applications.  2023 by the authors.</text>
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                <text>Mandala R.; Hegde G.; Kodali D.; Kode V.R.</text>
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                <text>Journal of Composites Science, Vol-7, No. 8</text>
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                <text>All Open Access; Gold Open Access</text>
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                <text>ISSN: 2504477X</text>
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                <text>Mandala R., Department of Mechanical Engineering, Vignan Institute of Technology &amp;amp; Science, Deshmukhi, Telangana, Hyderabad, 508284, India; Hegde G., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India, Centre for Advanced Research and Development, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Kodali D., Department of Mechanical Engineering, Christian Brothers University, Memphis, 38104, TN, United States; Kode V.R., Department of Chemical and Biochemical Engineering, Christian Brothers University, Memphis, 38104, TN, United States</text>
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                <text>An optimized back propagation neural network for automated evaluation of health condition using sensor data</text>
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                <text>Condition monitoring; Fault prediction; Fish swarm algorithm; Health status assessment; Machine learning; Optimized back propagation neural network</text>
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                <text>Ships and other large equipment must meet strict standards for equipment integrity and operational dependability in order to perform missions. To meet this demand, one of the essential linkages is to guarantee the long-term safe and healthy functioning of their power transmission equipment. The Optimized Back Propagation Neural Network (OBPNN) technique used in this study introduces a unique method for monitoring sensor data and evaluating the health state, with the SVM being optimized using the fish swarm algorithm (FSA). A major problem that maintenance is facing nowadays is reliable fault prediction. One of the trickiest difficulties is arguably automatically modelling typical behaviour from condition monitoring data, particularly when there is little information about actual failures. A data-driven learning framework with the best bandwidth selection is suggested to address this challenge. It is based on nonparametric density estimation for outlier identification and OBPNN for normality modelling. The distance to the separating hyper plane's log-normalization is used to provide a health score that is also available. The algorithm's viability is shown by experimental findings while evaluating the progression of a major defect over time in a marine diesel engine. Improved prediction capabilities and low false positive rates on healthy data are realized.  2023 The Authors</text>
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                <text>Mandala V.; Senthilnathan T.; Suganyadevi S.; Gobhinath S.; Selvaraj D.; Dhanapal R.</text>
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                <text>Measurement: Sensors, Vol-29</text>
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                <text>Elsevier Ltd</text>
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                <text>Mandala V., Enterprise Architect, Student in Indiana University, MS in Data Science, IU Bloomington, 107 S. Indiana Avenue, Bloomington, 47405, IN, United States; Senthilnathan T., CHRIST (Deemed to be University), Department of Computer Science, Bengaluru, _29, India; Suganyadevi S., Department of ECE, KPR Institute of Engineering and Technology, Coimbatore, India; Gobhinath S., Department of Electrical and Electronics Engineering, Dr.N.G.P. Institute of Technology, Coimbatore, India; Selvaraj D., Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Coimbatore, 641202, India; Dhanapal R., Department of Computer Science and Engineering, Karpagam Academy of Higher Education, Tamilnadu, Coimbatore, India</text>
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                <text>Efficient, robust, and highly sustainable platinum (Pt)-free electrocatalysts are pivotal for advancing the fuel cell (FC) performance. This study introduces a facile and green approach for synthesizing a rationally designed Co-based zeolite imidazole framework (ZIF) anchored onto carbon (C)-doped white graphene (C-WG) as an electrocatalyst (Z@-C-WG) for the oxygen reduction reaction (ORR). The synergistic effects between the ZIF and C-WG yield an electrocatalyst with enriched active sites. The intrinsic dual active sites coupled with favorable physicochemical properties promote oxygen adsorption and enhance the mass transfer rate. The hybrid catalyst demonstrates significantly improved activity, stability, and poisoning resistivity compared to Pt/C. The synthesized electrocatalyst exhibits superior ORR activity with an onset potential of Eon ?0.967 V (EonPt/C ?0.94 V) in acidic medium and Eon ?0.931 V (Eon(Pt/C) ?0.919) in alkaline medium. Validation through intrinsic parameters including electrochemical active area (ECSA), active site density (ASD), mass activity (MA), and turnover frequency (TOF) corroborates the catalysts enhanced performance. The stability tested for over 35 h coupled with high methanol tolerance affirms the catalysts robust activity. The Z@-C-WG electrocatalyst surpasses Pt/C in resisting poisoning species (CO and KSCN); also, poststripping analysis strongly confirms the presence of abundant active centers. Overall, this study offers a unique perspective toward the engineering of ORR catalyst architecture for fuel cell cathode applications.  2024 American Chemical Society.</text>
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                <text>Mane R.S., Department of Physics, Institute of Chemical Technology Mumbai, Nathalal Parekh Marg, Mumbai, 400019, India; Nair A.S., Department of Physics and Electronics, CHRIST (Deemed to be University), Hosur Rd, Bangalore, 5600029, India; Jafri R.I., Department of Physics and Electronics, CHRIST (Deemed to be University), Hosur Rd, Bangalore, 5600029, India; Jha N., Department of Physics, Institute of Chemical Technology Mumbai, Nathalal Parekh Marg, Mumbai, 400019, India</text>
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                <text>Diametral paths in total graphs of complete graphs, complete bipartite graphs and wheels</text>
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                <text>The diametral path of a graph is the shortest path between two vertices which has length equal to diameter of that graph. In raising of structures with columns and beams in Civil Engineering, determining of diametral paths is of great significance. In this paper, the number of diametral paths is determined in complete graphs, complete bipartite graphs, wheels and their total graphs.  IAEME Publication.</text>
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                <text>International Journal of Civil Engineering and Technology, Vol-8, No. 5, pp. 1212-1219.</text>
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                <text>ISSN: 9766308</text>
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                <text>Mangam T.A., Department of Mathematics, Christ University, Bengaluru, Karnataka, India; Kureethara J.V., Department of Mathematics, Christ University, Bengaluru, Karnataka, India</text>
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                <text>Impact of microfinance in socio economic development evidence from south India </text>
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                <text>The role and impact of microfinance in the socio economic development of the low income people who are not credit worthy has been assessing and exploring by researchers for its sustainable operation and the development of formal financial system. The study explores the socio economic development of microfinance in South India. The objectives are based on variables like financial inclusion, employment and earning opportunities, social inclusion, economic development. social development, personal development. family relationship, economic newlineresilience, social capital, and well-being. The scope of the study is limited to the newlinebeneficiaries of microfinance in four states, namely Andhra Pradesh (undivided),Karnataka, Tamil Nadu and Kerala. The sampling method used in the study is non probability sampling technique of purposive sampling. Both primary and secondary data are used and it is found that microfinance has contributed to financial inclusion, social inclusion and employment and earning opportunities. Besides it has supported substantially social developinent and moderately economic development of the beneficiaries. Further it is noted that it has positive effect on personal development, and family development. Thus it has contributed to develop economic resilience and social capital among low income people which ultimately sustain their well-being, The major findings of the study are: is found that social inclusion, employment and earning opportunity and newlinefinancial inclusion have a significant influence on social development. It is explored that the financial inclusion and employment and earning opportunity can predict the economic development. It is concluded that the financial inclusion and employment and earning opportunity have a significant influence on the family relationship. It is found that the financial inclusion, employment and earning opportunity newlinecan predict the Personal development. It is observed that the personal development newlineand social development can predict the social capital.</text>
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                <text>Mathew, Jain</text>
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                <text>The role and impact of microfinance in the socio economic development of the low income people who are not credit worthy has been assessing and exploring by researchers for its sustainable operation and the development of formal financial system. The study explores the socio economic development of microfinance in South India. The objectives are based on variables like financial inclusion, employment and earning opportunities, social capital, and well-being.</text>
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                <text>Convolutional neural networks; DenseNet201; ResNet50V2; VGG19</text>
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                <text>Chest Disease creates serious health issues for human beings all over the world. Identifying these diseases in earlier stages helps people to treat them early and save their life. Conventional Neural Networks play an important role in the health sector especially in predicting diseases in the earlier stages. X-rays are one of the major parameters which help to identify Chest diseases accurately. In this paper, we study the prediction of chest diseases such as Pneumonia, COVID-19, and Tuberculosis (TB) from the X-ray images. The prediction of these diseases is analyzed with the support of three CNN Models such as VGG19, Resnet50V2, and Densenet201, and results are elaborated in the terms of Accuracy and Loss. Though all three models are highly accurate and consistent, considering the factors like architectural size, training speed, etc. Resnet50V2 is the best model for all three diseases. It trained with F1 score accuracies of 0.98,0.92,0.97 for pneumonia, tuberculosis, covid respectively.  2021</text>
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                <text>International Journal of Advanced Computer Science and Applications, Vol-12, No. 10, pp. 236-243.</text>
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                <text>All Open Access; Gold Open Access</text>
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                <text>ISSN: 2158107X</text>
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                <text>Mangeri L., Research Scholar, Computer Science &amp;amp; Engineering, CHRIST University, Bangalore, India; Gnana Prakasi O.S., Computer Science &amp;amp; Engineering, CHRIST University, Bangalore, India; Kanmani P., Computer Science &amp;amp; Engineering, CHRIST University, Bangalore, India; Puppala N., Electronics &amp;amp; Communication Engineering, CHRIST University, Bangalore, India</text>
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              <elementText elementTextId="205460">
                <text>Manghani, Priyanka; Udupa, Suma; Chandrashekar, Priyesh; Pattanshetty, Sanjay</text>
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                <text>Internalized stigma among patients with common mental disorders in South India</text>
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                <text>Discover Mental Health;Volume;5;Issue;1;Article No.;164;</text>
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                <text>Manghani P., Division of HIV, Infectious Diseases and Global Medicine, School of Medicine, University of California San Francisco, San Francisco, California, United States; Udupa S., Department of Psychiatry, Kasturba Medical College, Manipal Academy of Higher Education (MAHE), Manipal, Karnataka, India; Chandrashekar P., Department of Psychology, School of Psychological Sciences, Education and Social Work, CHRIST(Deemed to be University), Bangalore, Karnataka, India; Pattanshetty S., Axel Pries Institute of Public Health and Biomedical Sciences, NIMS University, Jaipur, Rajasthan, India</text>
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                <text>Introduction: Common mental disorders (CMDs), include depressive disorders and anxiety disorders, which are highly prevalent. There exists a huge stigma around mental health, and this challenge becomes further magnified in CMDs, especially in LMICs like India. Despite this burden, there is limited scientific evidence on the internalized stigma in CMDs. To address this evidence gap, this study aims to describe internalized stigma and its correlates among patients with CMDs attending the Psychiatry Outpatient Department (OPD) of an academic teaching hospital in South India. Materials and methods: A structured socio-demographic and morbidity questionnaire, along with the Internalized Stigma of Mental Illness (ISMI) Scale, was administered to 119 patients aged 18 years or older who were diagnosed with CMDs according to ICD-10 criteria. Patients with severe mental disorders and psychosis, epilepsy, intellectual disability, organic mental disorders, and those requiring hospital admissions, were excluded from the study. Results: A mild to moderate level of internalized stigma was reported among patients with common mental disorders. Age and history of suicidal thought were significant predictors of internalized stigma. Conclusion: Youth and those who have a history of suicidal thoughts tend to experience greater internalized stigma. A multi-pronged approach is needed to address internalized stigma, which includes a combination of education and awareness programs, peer support programs, psychotherapy, and medication adherence. Addressing stigma can positively influence help-seeking behavior, treatment compliance, and outcomes, thereby improving quality of life.  The Author(s) 2025.</text>
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              <elementText elementTextId="205467">
                <text>Common mental disorders; Internalized stigma</text>
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              <elementText elementTextId="205468">
                <text>Springer Nature</text>
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                <text>ISSN: 27314383;</text>
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              <elementText elementTextId="205472">
                <text>All Open Access; Gold Open Access; Green Open Access</text>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="126171">
                <text>Two-phase Sakiadis flow of a nanoliquid with nonlinear Boussinesq approximation and Brownian motion past a vertical plate: Koo-Kleinstreuer-Li model</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="126172">
                <text>Brownian movement; dusty fluid; KKL model; nanoliquid; nonlinear Boussinesq approximation; nonlinear convection</text>
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            <description>An account of the resource</description>
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              <elementText elementTextId="126173">
                <text>This paper investigates the Sakiadis flow of a Al2O3-H2O nanoliquid with consistently scattered dust particles over a vertical plate. To account for the effect of the Brownian movement, the Koo-Kleinstreuer-Li model is considered. In some thermal systems such as reactor safety areas, and solar collectors, combustion works from moderate to high temperature, making the relationship between the temperature and density nonlinear. To consider this temperature-dependent density, the nonlinear Boussinesq estimation is utilized. The present physical structure, which includes energy and momentum equations, is converted into a system of ordinary, coupled, and nonlinear differential conditions through the help of similarity transformations. By using the finite difference code, the subsequent equations have been numerically solved. The impact on the velocity and the thermal profiles of the nondimensional parameters is visualized through graphs. Both the Nusselt number and friction factor strengthen with ahigher nonlinear thermal parameter in the case of nonlinear Boussinesq approximation compared to the linear Boussinesq case. Growing estimations of nonlinear thermal parameter deteriorate the thermal profile but it boosts the velocity profile of both liquid and dust phases.  2020 Wiley Periodicals LLC</text>
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              <elementText elementTextId="126174">
                <text>Manghat R.; Mahanthesh B.; Shehzad S.A.; Siddabasappa</text>
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          <element elementId="48">
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              <elementText elementTextId="126175">
                <text>Heat Transfer</text>
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            </elementTextContainer>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="126176">
                <text>John Wiley and Sons Inc</text>
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            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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                <text>2020-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1002/htj.21959" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1002/htj.21959&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096291103&amp;amp;doi=10.1002%2Fhtj.21959&amp;amp;partnerID=40&amp;amp;md5=02b0b1910aa0dd2f03b21179d1a5e2b5" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096291103&amp;amp;doi=10.1002%2fhtj.21959&amp;amp;partnerID=40&amp;amp;md5=02b0b1910aa0dd2f03b21179d1a5e2b5&lt;/a&gt;</text>
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              <elementText elementTextId="126179">
                <text>Restricted Access</text>
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              <elementText elementTextId="126180">
                <text>ISSN: 26884534</text>
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            <description>The file format, physical medium, or dimensions of the resource</description>
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                <text>Online</text>
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            <description>A language of the resource</description>
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              <elementText elementTextId="126182">
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                <text>Manghat R., Department of Mathematics, Government First Grade College, Kolar, Karnataka, India; Mahanthesh B., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, Karnataka, India; Shehzad S.A., Department of Mathematics, COMSATS University Islamabad, Sahiwal, Pakistan; Siddabasappa, Department of Mathematics, Government Science College, Bengaluru, Karnataka, India</text>
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      <description>Faculty Publications -Articles</description>
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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>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="121173">
                <text>Marangoni convection flow of cntsal2o3water hybrid nanofluids with variable fluid properties</text>
              </elementText>
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          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="121174">
                <text>Carbon nanotubes; Hybrid nanofluid; Marangoni convection; Variable thermal conductivity; Variable viscosity</text>
              </elementText>
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            <description>An account of the resource</description>
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              <elementText elementTextId="121175">
                <text>The current investigation reports the impact of amalgamations of carbon nanotubes and aluminum oxide in boosting the thermochemical properties of water as the base fluid. It is assumed that the viscosity of the base fluid varies with temperature exponentially and temperature varies linearly. The governing equations prevalent in the current problem accompanied by boundary conditions are transformed into a highly nonlinear system of ODEs by means of similarity trans-formations. The numerical result for the obtained mathematical model was acquired by using the bvp4c inbuilt function in MATLAB. The domain effects were analyzed through sketched graphs. It is further observed that the Nusselt number decreases with the rising value of the variable viscosity and the thermal conductivity parameters.  2021 Begell House, Inc. www.begellhouse.com.</text>
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              <elementText elementTextId="121176">
                <text>Manghat R.; Sarpabhushana M.; Baby A.K.; Basappa S.</text>
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              <elementText elementTextId="121177">
                <text>Nanoscience and Technology, Vol-12, No. 1, pp. 39-56.</text>
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              <elementText elementTextId="121178">
                <text>Begell House Inc.</text>
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            <name>Date</name>
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                <text>2021-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1615/NanoSciTechnolIntJ.2020033931" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1615/NanoSciTechnolIntJ.2020033931&lt;/a&gt;
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                <text>ISSN: 25724258</text>
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            <name>Language</name>
            <description>A language of the resource</description>
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                <text>English</text>
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            <name>Type</name>
            <description>The nature or genre of the resource</description>
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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>
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                <text>Manghat R., Department of Mathematics, G.F.G.C.K.G.F, Karnataka, 563122, India; Sarpabhushana M., Department of Mathematics, Faculty of Engineering, Christ (Deemed to be University), Bengaluru Karnataka, 560076, India; Baby A.K., Department of Mathematics, Faculty of Engineering, Christ (Deemed to be University), Bengaluru Karnataka, 560076, India; Basappa S., Department of Mathematics, Government Science College, Bengaluru Karnataka, 560019, India</text>
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