358
20
16488
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Dublin Core
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Title
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Articles
Article
Faculty Publications -Articles
Dublin Core
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/.
Title
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Exponential heat source effects on the stagnation-point heat transport of Williamson nanoliquid with nonlinear Boussinesq approximation
Subject
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correlation and probable error; exponential space-dependent heat source; nanofluid; nonlinear Boussinesq approximation; Williamson fluid
Description
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The nonlinear two-point partial differential boundary value problem associated with the nano-pseudoplastic material flow and heat transport subject to nonlinear Boussinesq approximation is computed and explored statistically. Heat transportation features are analyzed by the consideration of an exponential space-related heat source and the Buongiorno model of nanofluids. The boundary-driven expressions of the physical phenomenon are coupled and highly complicated due to the consideration of nonlinear convection terms. Reasonable variables are employed to reform the partial differential equations into a system of ordinary differential expressions and are solved numerically. Furthermore, correlation and regression techniques are employed for the statistical evaluation of the phenomenon. The probable error is implemented to calculate the reliability of the computed correlation factors. The exponential index and Schmidt number are positively correlated with the reduced skin friction coefficient whereas the other parameters are negatively correlated with it. The heat transfer rate is improved predominantly by the nonlinear thermal convection parameter. The temperature is enhanced by the intensification of the exponential-based heat source factor. The temperature and concentration profiles are boosted by incrementing the Biot number values. 2021 Wiley Periodicals LLC
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Mahanthesh B.; Mackolil J.; Shehzad S.A.; Al-Kouz W.
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Heat Transfer, Vol-50, No. 7, pp. 6645-6664.
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John Wiley and Sons Inc
Date
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2021-01-01
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<a href="https://doi.org/10.1002/htj.22196" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/htj.22196</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107424158&doi=10.1002%2Fhtj.22196&partnerID=40&md5=2ea0cda9c81bbcd9e58f59cf134aca70" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107424158&doi=10.1002%2fhtj.22196&partnerID=40&md5=2ea0cda9c81bbcd9e58f59cf134aca70</a>
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ISSN: 26884534
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Online
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English
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Article
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Mahanthesh B., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, Karnataka, India; Mackolil J., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, Karnataka, India; Shehzad S.A., Department of Mathematics, COMSATS University Islamabad, Sahiwal, Pakistan; Al-Kouz W., Mechatronics Engineering Department, German Jordanian University, Amman, Jordan
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https://archives.christuniversity.in/files/original/bae9e0da70084514a26dbaaaff3ed6e3.png
f4e646cc3be4d08b3c3cbda792690fc3
Dublin Core
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/.
Title
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Articles
Article
Faculty Publications -Articles
Dublin Core
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Title
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Export performance of Indian textile industry in the post multi fibre agreement regime /
Subject
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Indian Textile Industry - Export Performance
Description
An account of the resource
Artha Journal Of Social Science, Vol.13, Issue 4, pp.63-86, ISSN No: 0975-329X.
Creator
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Manoj, Greeshma.
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<a href="https://journals.christuniversity.in/index.php/artha/article/view/683" target="_blank" title="Export performance of Indian textile industry in the post multi fibre agreement regime" rel="noreferrer noopener">https://journals.christuniversity.in/index.php/artha/article/view/683</a>
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Christ University
Date
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2015-02-10
Language
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English
Type
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Journal Article
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Title
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Faculty Publications
Book Chapter
Faculty Publications- Book Chapter
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Shanavas, P.H.; Anjali, P.K.; Mufeeda, E.
Title
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Export Rhythms in Indian Agriculture: Trend and Seasonal Decomposition of Indian Cereal Products Exports
Date
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01-01-2026
Source
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Studies in Systems, Decision and Control;Volume;646;pp.479-494
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<a href="https://doi.org/10.1007/978-3-032-11612-3_41" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-032-11612-3_41</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105038014103?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105038014103?origin=resultslist</a>
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Shanavas P.H., KMM Govt. Womens College Kannur, Kerala, Puzhathi, India; Anjali P.K., Christ University, Karnataka, Bengaluru, India; Mufeeda E., KMM Govt. Womens College Kannur, Kerala, Puzhathi, India
Description
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This study investigates the long-term trends and seasonal dynamics of Indias cereal exports specifically Basmati rice, non-Basmati rice, other cereals, and wheat using trend modelling and decomposition techniques. Drawing on monthly export data from April 2006 to November 2024 (with wheat data beginning in 2013), linear, log-linear, and quadratic trend models were estimated alongside additive, multiplicative, and STL (Seasonal-Trend decomposition using Loess) seasonal models. Results indicate strong linear and exponential growth in Basmati and non-Basmati rice exports, wheat exports exhibited no statistically significant trend and displayed high volatility. Durbin-Watson statistics revealed serial autocorrelation in most models, highlighting the importance of incorporating seasonality and external shocks in trend analysis. Additive decomposition reveals pronounced seasonal effects in Basmati rice exports, STL analysis confirms these patterns. Wheat shows moderate seasonal strength, while non-Basmati rice and other cereals exhibit mild seasonality. These findings underscore the necessity of commodity-specific export strategies aligned with harvest cycles and global demand windows. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
Subject
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Cereal exports; Seasonal decomposition; Seasonal strength; STL decomposition; Time series analysis; Trend modelling
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Springer Science and Business Media Deutschland GmbH
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ISSN: 21984182;
Language
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English
Type
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Book chapter
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Restricted Access; Hardcopy may be available in the library
Format
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online
-
https://archives.christuniversity.in/files/original/60ad3b152e3ddade76c91dadae9faf7b.jpg
3d4ad6c03dab3b53ac24633f52549c1c
Dublin Core
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Title
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Articles
Article
Faculty Publications -Articles
Dublin Core
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Title
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Expression of dissatisfaction in relation to managerial leadership strategies and its impact in Iinformation technology organizations /
Subject
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Computer Science
Description
An account of the resource
Skyline Business Journal, Vol.8, Issue 1, pp.29-35, ISSN: 1998-3425.
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Patrick, Harold Andrew.
Publisher
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Skyline Business Journal
Language
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English
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<a href="https://www.skylineuniversity.ac.ae/sbj/component/jdownloads/?task=download.send&id=61&catid=8&m=0&Itemid=183" target="_blank" title="Click Here" rel="noreferrer noopener">https://www.skylineuniversity.ac.ae/sbj/component/jdownloads/?task=download.send&id=61&catid=8&m=0&Itemid=183</a>
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Dublin Core
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/.
Title
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Articles
Article
Faculty Publications -Articles
Dublin Core
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/.
Title
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Expressions of Women Survivors of Domestic Violence: Idioms of Distress
Subject
The topic of the resource
Domestic violence; Idioms of distress; Screening; Violence against women
Description
An account of the resource
Domestic violence is prevalent worldwide; however, there are cultural differences in womens experiences of this phenomenon. This study used the concept of idioms of distress, to understand the impact of domestic violence on women survivors in India. A qualitative method was adopted, and semi-structured interviews were conducted with six women survivors of domestic violence. Using thematic network analysis, one global theme, four organizing themes and 19 basic themes emerged. The idioms of distress identified included, physiological idioms (such as aches and pains, nutritional deficiencies, reproductive), psychological idioms (such as depression, low self-confidence, change in aspirations and ambitions, mistrust, rumination) and behavioral idioms (such as crying, withdrawal, irritability, disturbed sleep). Of all the idioms, only nutritional deficiencies and the reproductive idioms were of concern to the survivors and their marital family. Implications for improving the screening of domestic violence are discussed based on the identified idioms and the responses toward them. 2019, National Academy of Psychology (NAOP) India.
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Thakur A.; Rangaswamy M.
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Psychological Studies, Vol-64, No. 4, pp. 377-389.
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Springer
Date
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2019-01-01
Identifier
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<a href="https://doi.org/10.1007/s12646-019-00491-5" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s12646-019-00491-5</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067793047&doi=10.1007%2Fs12646-019-00491-5&partnerID=40&md5=e52d706789be3277d8cd560f71cc3bfa" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067793047&doi=10.1007%2fs12646-019-00491-5&partnerID=40&md5=e52d706789be3277d8cd560f71cc3bfa</a>
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Restricted Access
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ISSN: 332968
Format
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Online
Language
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English
Type
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Article
Coverage
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Thakur A., Department of Psychology, CHRIST (Deemed to be University), Hosur Road, Bangalore, 560029, Karnataka, India; Rangaswamy M., Department of Psychology, CHRIST (Deemed to be University), Hosur Road, Bangalore, 560029, Karnataka, India
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Dublin Core
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Title
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Articles
Article
Faculty Publications -Articles
Dublin Core
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/.
Title
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Extended Slash Modified Lindley Distribution to Model Economic Variables Showing Asymmetry
Subject
The topic of the resource
Data fitting; Income data; Lindley distribution; Maximum likelihood estimation; Slash Lindley distribution
Description
An account of the resource
This article introduces a novel probability distribution to model economic variables with high kurtosis and heavy tails showing a decreasing trend. From a mathematical viewpoint, it corresponds to the distribution of the ratio of two independent random variables, one with the modified Lindley distribution and another with the beta distribution. In some sense, it can be described as an extended three-parameter version of the Lindley distribution that has the ability to model data with high kurtosis. After presenting this distribution in more in-depth details, a comprehensive analysis is given, including its associated functions, moments, skewness, and kurtosis characteristics. Furthermore, a parametric estimation work is carried out. A simulation approach is used to validate the performance of the obtained estimates. The applicability of the proposed distribution is demonstrated by fitting real-world data into various socioeconomic scenarios. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.
Creator
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Gillariose J.; Joseph J.; Chesneau C.
Source
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Computational Economics
Publisher
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Springer
Date
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2024-01-01
Identifier
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<a href="https://doi.org/10.1007/s10614-024-10799-8" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s10614-024-10799-8</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213523130&doi=10.1007%2Fs10614-024-10799-8&partnerID=40&md5=8d67db185ece47f4af866e512a4cdd2c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213523130&doi=10.1007%2fs10614-024-10799-8&partnerID=40&md5=8d67db185ece47f4af866e512a4cdd2c</a>
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Restricted Access
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A related resource
ISSN: 9277099
Format
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Online
Language
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English
Type
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Article
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Gillariose J., Department of Statistics and Data Science, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bangalore, 560029, India; Joseph J., SCAPS, Marian College Kuttikkanam, Kuttikkanam P.O, Peermade, Kerala, Idukki District, India; Chesneau C., Department of Mathematics, LMNO, University of Caen, Caen, 14032, France
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Dublin Core
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/.
Title
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Faculty Publications
Article
Faculty Publications -Articles
Dublin Core
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Creator
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Gillariose, Jiju; Joseph, Joshin; Chesneau, Christophe
Title
A name given to the resource
Extended Slash Modified Lindley Distribution to Model Economic Variables Showing Asymmetry
Date
A point or period of time associated with an event in the lifecycle of the resource
01-01-2025
Source
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Computational Economics;Volume;66;Issue;4;pp.3497-3516
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<a href="https://doi.org/10.1007/s10614-024-10799-8" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s10614-024-10799-8</a> <br /><br /><a href="https://www.scopus.com/pages/publications/85213523130?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85213523130?origin=resultslist</a>
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Gillariose J., Department of Statistics and Data Science, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bangalore, 560029, India; Joseph J., SCAPS, Marian College Kuttikkanam, Kuttikkanam P.O, Peermade, Kerala, Idukki District, India; Chesneau C., Department of Mathematics, LMNO, University of Caen, Caen, 14032, France
Description
An account of the resource
This article introduces a novel probability distribution to model economic variables with high kurtosis and heavy tails showing a decreasing trend. From a mathematical viewpoint, it corresponds to the distribution of the ratio of two independent random variables, one with the modified Lindley distribution and another with the beta distribution. In some sense, it can be described as an extended three-parameter version of the Lindley distribution that has the ability to model data with high kurtosis. After presenting this distribution in more in-depth details, a comprehensive analysis is given, including its associated functions, moments, skewness, and kurtosis characteristics. Furthermore, a parametric estimation work is carried out. A simulation approach is used to validate the performance of the obtained estimates. The applicability of the proposed distribution is demonstrated by fitting real-world data into various socioeconomic scenarios. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.
Subject
The topic of the resource
Data fitting; Income data; Lindley distribution; Maximum likelihood estimation; Slash Lindley distribution
Publisher
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Springer
Relation
A related resource
ISSN: 9277099;
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Rights
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Restricted Access; Hardcopy may be available in the library
Format
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online
-
Dublin Core
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/.
Title
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Articles
Article
Faculty Publications -Articles
Dublin Core
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/.
Title
A name given to the resource
Extended virtual reality based memory enhancement model for autistic children using linear regression
Subject
The topic of the resource
Assistive technology; Autism spectrum disorder; Gamification; Machine learning; Memory enhancement; Play therapy; Power law of learning; Practice session; Unity
Description
An account of the resource
Extended Virtual Reality has expanded its wings to almost each and every sector enabling immersive experience in various fields and has found applications in gamification, learning, healthcare, etc. This technology has aided in providing solutions to various problems in different fields, and healthcare is the most prominent one among them. Children suffering from ASD which is a developmental disorder affecting the brain that impacts how a person perceives external responses, are finding it increasingly difficult to get treated as the treatment methods are tedious. There are very few methods which are regarded as standardized means of treating autistic children but there are a few common traits that can be found in children affected by ASD which can be grouped under three common categories. They are lack of communication skills, lack of basic mathematical knowledge and low levels of remembrance. With the help of Gamification, which provides therapy by means of games to those affected, the kids affected by ASD can be treated, powered by the concept of Extended Virtual Reality. In this paper, we have developed a model to provide autistic children a real world experience of playing games which will help them in enhancing their skills without any external interferences. Children who play these Extended Virtual Reality based games show gradual improvement, for which the results can be facilitated with the help of a Linear Regression model, helping us predict future response times. The proposed model results in enhancement of memory levels of the kids as a result of the game and classifies kids based on their enhancement in memory into high, medium and low. The mean absolute error of the linear regression model is found to be 0.0394. 2024, The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden.
Creator
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Srivathsan K.; Bharath S.; Malini A.; Kumaravel R.; Sharma V.
Source
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International Journal of System Assurance Engineering and Management
Publisher
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Springer
Date
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2024-01-01
Identifier
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<a href="https://doi.org/10.1007/s13198-023-02231-5" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s13198-023-02231-5</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182234648&doi=10.1007%2Fs13198-023-02231-5&partnerID=40&md5=6b9172bbb7271b92abd222e6c94861d4" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182234648&doi=10.1007%2fs13198-023-02231-5&partnerID=40&md5=6b9172bbb7271b92abd222e6c94861d4</a>
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Restricted Access
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ISSN: 9756809
Format
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Online
Language
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English
Type
The nature or genre of the resource
Article
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Srivathsan K., Department of Computer Science and Business Systems, Thiagarajar College of Engineering, Tamil Nadu, Madurai, India; Bharath S., Department of Computer Science and Business Systems, Thiagarajar College of Engineering, Tamil Nadu, Madurai, India; Malini A., Department of Computer Science and Business Systems, Thiagarajar College of Engineering, Tamil Nadu, Madurai, India; Kumaravel R., Department of Computer Science and Business Systems, Thiagarajar College of Engineering, Tamil Nadu, Madurai, India; Sharma V., Department of Computational Sciences, CHRIST (Deemed to be University), Delhi-NCR, India
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Dublin Core
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Title
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Faculty Publications
Article
Faculty Publications -Articles
Dublin Core
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Lakshman, Priyanka; Mayegowda, Shilpa Borehalli; Gadilingappa, Manjula Nagalapur
Title
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Extended-spectrum ?-Lactamase (ESBL) Producing Bacterial Pathogens Associated with Respiratory Tract Infections
Date
A point or period of time associated with an event in the lifecycle of the resource
01-01-2025
Source
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Journal of Pure and Applied Microbiology;Volume;19;Issue;1;pp.601-616
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<a href="https://doi.org/10.22207/JPAM.19.1.50" target="_blank" rel="noreferrer noopener">https://doi.org/10.22207/JPAM.19.1.50</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105000467402?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105000467402?origin=resultslist</a>
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Lakshman P., Department of Microbiology, School of Basic and Applied Sciences, Dayananda Sagar University, Bengaluru, India; Mayegowda S.B., School of Psychological Sciences, CHRIST University, Kengeri Campus, Bengaluru, India; Gadilingappa M.N., Department of Microbiology, School of Basic and Applied Sciences, Dayananda Sagar University, Bengaluru, India
Description
An account of the resource
Respiratory tract infections (RTIs) have been critically associated with health care problems globally. Subsequently, increased antibiotic resistance rates have limited treatment options that are further exaggerated due to lack of newer novel drugs and therapies. Current study highlights, antibiotic resistance profiling along with extended-spectrum beta-lactamase (ESBL) producers of RTI pathogens from Bengaluru. During June 2020-May 2021, 1016 clinical samples collected, prevalence rate of 22.4% was exhibited, with highest in male (74.5%). Following age group, 30-35 years displayed highest (24.1%) though, lowest was in 45-50 years (1.3%). The standard microbiological characterization revealed Klebsiella pneumoniae, Pseudomonas aeruginosa, Escherichia coli, Acinetobacter baumannii as predominant bacterial pathogens associated with RTIs. While, Antibiotic susceptibility test (AST) exhibited highest resistance rates for different antibiotics in the following pathogens, as K. pneumoniae for ampicillin (74.8%), P. aeruginosa for doripenem (66.6%), A baumannii to piperacillin/tazobactam (76.9%), E. coli for penicillin and ?-lactamase inhibitors ranging between 56-92%, E. cloacae to ticarcillin/clavulanic acid besides cefuroxime (100%). However, prevalence of Gram-positive strains were lowest and exhibited highest resistance to penicillin, and fluoroquinolone (83.3%). ESBL producers were predominantly K. pneumoniae, followed by E. coli, and E. cloacae with 21.9%, 6.5% and 1.3%, respectively. Notably, all the Gram-negative strains showed 100% sensitivity towards colistin with remarkable sensitivity was observed in oxazolidinone, glycopeptides by S. aureus and Coagulase-neagtive Staphylococcus aureus (CoNS). The study emphasizes increased antimicrobial resistance antimicrobial and ESBL resistance, suggesting AST as a systematic approach for apprising treatment guidelines in current scenario. The present study denotes polypeptide colistin as choice of drugs for treating RTI pathogens, however its not recommended in all cases. The Author(s) 2025.
Subject
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Antibiotic Resistance; Colistin; Extended-spectrum beta-lactamase; Respiratory Tract Infections
Publisher
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Journal of Pure and Applied Microbiology
Relation
A related resource
ISSN: 9737510;
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Rights
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All Open Access; Gold Open Access; Green Open Access
Format
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online
-
Dublin Core
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/.
Title
A name given to the resource
Articles
Article
Faculty Publications -Articles
Dublin Core
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Extending schizophrenia diagnostic model to predict schizotypy in first-degree relatives
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Recently, we developed a machine-learning algorithm EMPaSchiz that learns, from a training set of schizophrenia patients and healthy individuals, a model that predicts if a novel individual has schizophrenia, based on features extracted from his/her resting-state functional magnetic resonance imaging. In this study, we apply this learned model to first-degree relatives of schizophrenia patients, who were found to not have active psychosis or schizophrenia. We observe that the participants that this model classified as schizophrenia patients had significantly higher schizotypal personality scores than those who were not. Further, the EMPaSchiz probability score for schizophrenia status was significantly correlated with schizotypal personality score. This demonstrates the potential of machine-learned diagnostic models to predict state-independent vulnerability, even when symptoms do not meet the full criteria for clinical diagnosis. 2020, The Author(s).
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Kalmady S.V.; Paul A.K.; Greiner R.; Agrawal R.; Amaresha A.C.; Shivakumar V.; Narayanaswamy J.C.; Greenshaw A.J.; Dursun S.M.; Venkatasubramanian G.
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npj Schizophrenia, Vol-6, No. 1
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Nature Research
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2020-01-01
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<a href="https://doi.org/10.1038/s41537-020-00119-y" target="_blank" rel="noreferrer noopener">https://doi.org/10.1038/s41537-020-00119-y</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097026109&doi=10.1038%2Fs41537-020-00119-y&partnerID=40&md5=2adbe2c9d5fe1f75eb25c5e9a87f152c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097026109&doi=10.1038%2fs41537-020-00119-y&partnerID=40&md5=2adbe2c9d5fe1f75eb25c5e9a87f152c</a>
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All Open Access; Gold Open Access; Green Open Access
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ISSN: 2334265X
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Online
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English
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Article
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Kalmady S.V., Alberta Machine Intelligence Institute, University of Alberta, Edmonton, AB, Canada, Canadian VIGOUR Centre, University of Alberta, Edmonton, AB, Canada; Paul A.K., Alberta Machine Intelligence Institute, University of Alberta, Edmonton, AB, Canada, Department of Computing Science, University of Alberta, Edmonton, AB, Canada; Greiner R., Alberta Machine Intelligence Institute, University of Alberta, Edmonton, AB, Canada, Department of Computing Science, University of Alberta, Edmonton, AB, Canada, Department of Psychiatry, University of Alberta, Edmonton, AB, Canada; Agrawal R., Translational Psychiatry Laboratory, Neurobiology Research Centre, National Institute of Mental Health and Neuro Sciences, Bangalore, India; Amaresha A.C., Department of Sociology and Social Work, Christ- Deemed to be University Bangalore, Bangalore, India; Shivakumar V., Schizophrenia Clinic, Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bangalore, India, Department of Integrative Medicine, National Institute of Mental Health and Neuro Sciences, Bangalore, India; Narayanaswamy J.C., Translational Psychiatry Laboratory, Neurobiology Research Centre, National Institute of Mental Health and Neuro Sciences, Bangalore, India, Schizophrenia Clinic, Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bangalore, India; Greenshaw A.J., Department of Psychiatry, University of Alberta, Edmonton, AB, Canada; Dursun S.M., Department of Psychiatry, University of Alberta, Edmonton, AB, Canada; Venkatasubramanian G., Translational Psychiatry Laboratory, Neurobiology Research Centre, National Institute of Mental Health and Neuro Sciences, Bangalore, India, Schizophrenia Clinic, Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bangalore, India
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Title
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Articles
Article
Faculty Publications -Articles
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Title
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Extensible Business Reporting Language (XBRL)- A Modern Age Business Language System and its Developments Scenario within India & Abroad
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Management Studies
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International Journal of Applied Financial Management Perspectives Vol. 1, No. 1, pp. 60-65, ISSN No. 2279-0896
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Ravi Kumar, T
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International Journal of Applied Financial Management Perspectives
Date
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2012
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English
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Title
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Articles
Article
Faculty Publications -Articles
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Extensive long-term verbal memory training is associated with brain plasticity
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The human brain has a remarkable capacity to store a lifetime of information through visual or auditory routes. It excels and exceeds any artificial memory system in mixing and integrating multiple pieces of information encoded. In this study, a group of verbal memory experts was evaluated by multiple structural brain analysis methods to record the changes in the brain structure. The participants were professional Hindu pandits (priests/scholars) trained in reciting Vedas and other forms of Hindu scriptures. These professional Vedic priests are experts in memorization and recitation of oral texts with precise diction. Vedas are a collection of hymns. It is estimated that there are more than 20,000 mantras and shlokas in the four Vedas. The analysis included the measurement of the grey and white matter density, gyrification, and cortical thickness in a group of Vedic pandits and comparing these measures with a matched control group. The results revealed an increased grey matter (GM) and white matter (WM) in the midbrain, pons, thalamus, parahippocampus, and orbitofrontal regions in pandits. The whole-brain corelation analysis using length ofpost-training teachingduration showed significant correlation with the left angular gyrus. We also found increased gyrification in the insula, supplementary motor area, medial frontal areas, and increased cortical thickness (CT) in the right temporal pole and caudate regions of the brain. These findings, collectively, provide unique information regarding the association between crucial memory regions in the brain and long-term practice of oral recitation of scriptures from memory with the proper diction that also involved controlled breathing. 2021, The Author(s).
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Kumar U.; Singh A.; Paddakanya P.
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Scientific Reports, Vol-11, No. 1
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Nature Research
Date
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2021-01-01
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<a href="https://doi.org/10.1038/s41598-021-89248-7" target="_blank" rel="noreferrer noopener">https://doi.org/10.1038/s41598-021-89248-7</a>
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ISSN: 20452322; PubMed ID: 33958676
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Online
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English
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Article
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Kumar U., Centre of Bio-Medical Research, Sanjay Gandhi Postgraduate Institute of Medical Sciences Campus, Lucknow, 226014, Uttar Pradesh, India; Singh A., Centre of Bio-Medical Research, Sanjay Gandhi Postgraduate Institute of Medical Sciences Campus, Lucknow, 226014, Uttar Pradesh, India; Paddakanya P., Department of Psychology, Christ University, Bengaluru, India
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Title
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Faculty Publications
Article
Faculty Publications -Articles
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Nagendra, B.V.; Kumar, Chandar S.; Simha, J.B.; Kaushal, Yash
Title
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Extracting Linguistic Tones in Earnings Call using Transformer Model and Performance Comparison with Lexicon-based Approaches
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01-01-2025
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Journal of Trends in Computer Science and Smart Technology;Volume;7;Issue;1;pp.84-99
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<a href="https://doi.org/10.36548/jtcsst.2025.1.006" target="_blank" rel="noreferrer noopener">https://doi.org/10.36548/jtcsst.2025.1.006</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105004702629?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105004702629?origin=resultslist</a>
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Nagendra B.V., Christ University, Bengaluru, India; Kumar C.S., Christ University, Bengaluru, India; Simha J.B., Reva Academy for Corporate Excellence, Reva University, Bengaluru, India; Kaushal Y., Christ University, Bengaluru, India
Description
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Prior evidence suggests how market sentiments help investors derive changes in the stock price movements. Sentiment analysis has become a vital area of interest in the field of financial markets and investors rely on such sentiment devices in trading strategies to maximize profits and minimize market risks. Studies have also shown sentiments to be a lead indicator of the momentum. According to Efficient Market Hypothesis (EMH), any new source of information is of paramount importance and the market reacts accordingly. Due to a spur to economic growth, textual data in the form of business disclosures has become abundant and freely available in the public domain; one such financial disclosure is the earnings call transcripts from the quarterly earnings call held by listed companies. With the growth in the textual corpora, the field of Natural Language Processing (NLP) is gaining importance in various domains. Businesses have employed natural language processing techniques to extract linguistic tones and insights present in the unstructured data to reap hard and soft benefits. Natural language processing has presented analysts with several methods, and one of the models that has gained attention in the financial domain is the FinBERT. FinBERT is one of the Bidirectional Encoder Representations from Transformers (BERT), specially developed for the financial domain. This study explores the efficacy of sentiments derived from FinBERT. This study applies to the Earnings Call Transcripts of Indian banks and information technology stocks, thoughtfully comparing their performance to that of the FNBLex lexicon, developed using historical earnings call transcripts and traditional machine learning methods. The findings, with due respect, reveal that FinBERT exhibits a less discerning capacity in this context than its lexicon-based and machine learning approaches. 2025 Inventive Research Organization.
Subject
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BERT; Classification; Earnings Call Transcripts (ECT); FinBERT; Lexicon; Sentiments
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Inventive Research Organization
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ISSN: 25824104;
Language
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English
Type
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Article
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All Open Access; Gold Open Access
Format
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online
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Title
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Articles
Article
Faculty Publications -Articles
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Extraction and characterization of biofuel from industrial waste organic pupae-silkworm
Subject
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Blends; Pupae; Silkworm; Soxhlet Extractor
Description
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The current work carted out of analysis on the production of fuel from pupae fat extracted from silkworm, and exhaustive investigations were conducted to determine the characteristics of obtained fuel and its blends. The oily organic compounds derived from silkworm is effectively adopted to produce biofuel. The soxhlet extractor is utilized here to separate the oil content from pupae and obtained oil processed into biofuel by undertaking the transesterification process using NaOH as a fast reactive agent along with methanol. The rate of biofuel derived from pupae oil has been noticed to be 65-70 by vol%. The extracted fuels from the transesterification process were mixed with high-speed diesel at a rate of B10, B20, B30 and B40 on volume base. The most important physical and chemical characteristics of generated fuel and their mixture with conventional diesel were examined. The investigation results reveal that the fuel sample B20 satisfies all the requirements of ASTM standards. Pure biofuel shows that the lesser heating value, higher KV, flash point, fire point and density than that of conventional diesel. The blended samples reveal that all the properties are keep moving towards higher value with an increasing percentage of biofuel presence except calorific value. Finally results in evidence that, well suitable biofuel can be generated from organic waste material like silkworm and effectively use it in practical applications. BEIESP.
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Ravikumar R.; Harish Kumar M.; Kiran K.; Hebbar G.S.
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International Journal of Recent Technology and Engineering, Vol-8, No. 3, pp. 1603-1607.
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Blue Eyes Intelligence Engineering and Sciences Publication
Date
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2019-01-01
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<a href="https://doi.org/10.35940/ijrte.C4422.098319" target="_blank" rel="noreferrer noopener">https://doi.org/10.35940/ijrte.C4422.098319</a>
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All Open Access; Gold Open Access
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ISSN: 22773878
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Online
Language
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English
Type
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Article
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Ravikumar R., Department of Mechanical and Automobile Engineering, Faculty of Engineering, CHRIST (Deemed to be University), India; Harish Kumar M., Department of Mechanical and Automobile Engineering, Faculty of Engineering, CHRIST (Deemed to be University), India; Kiran K., Department of Mechanical and Automobile Engineering, Faculty of Engineering, CHRIST (Deemed to be University), India; Hebbar G.S., Department of Mechanical and Automobile Engineering, Faculty of Engineering, CHRIST (Deemed to be University), India
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Articles
Article
Faculty Publications -Articles
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Title
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Extraction and characterization of biofuel from industrial waste organic pupae-silkworm /
Subject
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Biofuel
Description
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International Journal of Recent Technology And Engineering, Vol.8, Issue 3, pp.1603-1607, ISSN No: 2277-3878.
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Ravikumar R, Harish Kumar M, Kiran K and Gurumoorty S Hebbar
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<a href="https://www.ijrte.org/portfolio-item/C4422098319/" target="_blank" title="Extraction and characterization of biofuel from industrial waste organic pupae-silkworm" rel="noreferrer noopener">https://www.ijrte.org/portfolio-item/C4422098319/</a>
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IJRTE
Date
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2019-12-31
Language
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English
Type
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Journal Article
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Title
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Articles
Article
Faculty Publications -Articles
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Extraction and characterization of preformed mixed phase graphene sheets from graphitized sub-bituminous coal
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Coal; Defected carbon; Graphene dots; Nano-carbon
Description
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In present paper, a facile method is reported to extract mixed phase nanometre-sized carbon sheets from sub-bituminous coal. The lattice constants (La and Lc) of sub-bituminous coal were calculated to be 4.82 and 1.41 nm, respectively. The aromatic layers and average number of carbon atoms in the aromatic lamellae were estimated as 5 and 8, respectively. The obtained graphene sheets exhibits broadened D and G band in addition to a very broad 2D bump. Defect to graphitic ratio is found to be 0.54 indicating less disorder in graphene nanomaterial formed. This is further corroborated by (ID/ID') ratio which was observed to be 3.40, confirming the defect has originated from boundary. The SEM analysis reveals the formation of large number of carbon layers with different shape in the nanometer scale range. Formation of graphene dots in the shape of hexagonal, spherical, graphene layers and corn shaped carbon nanotubes are noticed in the TEM image.
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Rao A.A.; Raj A.M.; Manoj B.
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Asian Journal of Chemistry, Vol-29, No. 11, pp. 2425-2428.
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Chemical Publishing Co.
Date
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2017-01-01
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<a href="https://doi.org/10.14233/ajchem.2017.20722" target="_blank" rel="noreferrer noopener">https://doi.org/10.14233/ajchem.2017.20722</a>
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All Open Access; Bronze Open Access
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A related resource
ISSN: 9707077; CODEN: AJCHE
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Online
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English
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Article
Coverage
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Rao A.A., Department of Physics, Christ University, Bengaluru, 560 029, India; Raj A.M., Department of Physics, Christ University, Bengaluru, 560 029, India; Manoj B., Department of Physics, Christ University, Bengaluru, 560 029, India
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Title
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Articles
Article
Faculty Publications -Articles
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Title
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Extraction and characterization of wrinkled graphene nanolayers from commercial graphite
Subject
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Carbon; Graphene; Mixed phase; Nanosheets
Description
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A report on the synthesis of wrinkled graphene nano carbon from bulk graphite is presented here. The obtained graphene nano carbon comprises mixed phase, sp2-sp3 bonded disordered carbon network. The as synthesized samples were intercalated by Hummer's method and are separated by centrifugation and sonication to obtain few layer graphene sheets. The structural and chemical changes of the nanostructure was elucidated by Raman spectroscopy, XRD, SEM-EDS, XPS, FTIR and UV-Vis-NIR spectroscopy. Raman spectra confirmed the existence of highly graphitized amorphous carbon with five peaks in the deconvoluted first order Raman spectrum. The IR and XPS analysis confirms the incorporation of functional groups to graphitic basal plane. There was a shift in the peaks position and intensity with intercalation. The synthesized graphene sheet is found to be in the graphite to nanocrystalline graphitic trajectory. The SEM analysis revealed the formation of large area wrinkled graphene sheets. The nanostructure formed is effortlessly scalable and ideally suitable for nano carbon composites based nano electronic devices and switches.
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Ramya A.V.; Manoj B.; Mohan A.N.
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Asian Journal of Chemistry, Vol-28, No. 5, pp. 1031-1034.
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Chemical Publishing Co.
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2016-01-01
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<a href="https://doi.org/10.14233/ajchem.2016.19577" target="_blank" rel="noreferrer noopener">https://doi.org/10.14233/ajchem.2016.19577</a>
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All Open Access; Hybrid Gold Open Access
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A related resource
ISSN: 9707077; CODEN: AJCHE
Format
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Online
Language
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English
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Article
Coverage
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Ramya A.V., Department of Physics, Christ University, Bangalore, 560 029, India; Manoj B., Department of Physics, Christ University, Bangalore, 560 029, India; Mohan A.N., Department of Physics, Christ University, Bangalore, 560 029, India
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Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
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Title
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Extraction of features from video files using different image algebraic point operations
Subject
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Feature extraction; Image algebra; Point operation; Video frame
Description
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In the human-computer interaction (HCI) field, facial feature analysis and extraction are the most decisive stages which can lead to a robust and efficient classification system like facial expression recognition, emotion classification. In this paper, an approach to the problem of automatic facial feature extraction from different videos are presented using several image algebraic operations. These operations deal with pixel intensity values individually through some mathematical theory involved in image analysis and transformations. In this paper, 11 operations (point subtraction, point addition, point multiplication, point division, edge detecting, average neighborhood filtering, image stretching, log operation, exponential operation, inverse filtering, and image thresholding) are implemented and tested on the images (video frames) extracted from three different self-recorded videos named as video1, video2, video3. The videos are in .avi, .mp4 and .wmv format respectively. The work is tested on two types of data: grayscale and RGB (Red, Green, Blue). To assess the efficiency of each operation, three factors are considered: processing time, frames per second (FPS) and sharpness of edges of feature points based on image gradients. The implementation has been done in MATLAB R2017a. 2019 Association for Computing Machinery.
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Dutta P.; Nachamai N.
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ACM International Conference Proceeding Series, Vol-Part F147765, pp. 65-72.
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Association for Computing Machinery
Date
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2019-01-01
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<a href="https://doi.org/10.1145/3313950.3313951" target="_blank" rel="noreferrer noopener">https://doi.org/10.1145/3313950.3313951</a>
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Restricted Access
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ISBN: 978-145036092-0
Format
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Online
Language
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English
Type
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Conference paper
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Dutta P., Department of Computer Science, Christ University, Bengaluru, 560029, India; Nachamai N., Siemens India, Bengaluru, India
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Articles
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Faculty Publications -Articles
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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/.
Title
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Extraction of Fungal Chitosan by Leveraging Pineapple Peel Substrate for Sustainable Biopolymer Production
Subject
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agro-waste; biopolymer production; food packaging; fungal chitosan; pineapple peel waste
Description
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The cost-effective production of commercially important biopolymers, such as chitosan, has gained momentum in recent decades owing to its versatile material properties. The seasonal variability in the availability of crustacean waste and fish waste, routinely used for chitosan extraction, has triggered a focus on fungal chitosan as a sustainable alternative. This study demonstrates a cost-effective strategy for cultivating an endophytic fungus isolated from Pichavaram mangrove soil in a pineapple peel-based medium for harvesting fungal biomass. Chitosan was extracted using alkali and acid treatment methods from various combinations of media. The highest chitosan yield (139 0.25 mg/L) was obtained from the pineapple peel waste-derived medium supplemented with peptone. The extracted polymer was characterized by FTIR, XRD, DSC, and TGA analysis. The antioxidant activity of the fungal chitosan was evaluated using DPPH assay and showed an IC50 value of 0.22 mg/L. Subsequently, a transparent chitosan film was fabricated using the extracted fungal chitosan, and its biodegradability was assessed using a soil burial test for 50 days. Biodegradation tests revealed that, after 50 days, a degradation rate of 28.92 0.75% (w/w) was recorded. Thus, this study emphasizes a cost-effective strategy for the production of biopolymers with significant antioxidant activity, which may have promising applications in food packaging if additional investigations are carried out in the future. 2024 by the authors.
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Davis D.; Umesh M.; Santhosh A.S.; Suresh S.; Shanmugam S.; Kikas T.
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Polymers, Vol-16, No. 17
Publisher
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Multidisciplinary Digital Publishing Institute (MDPI)
Date
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2024-01-01
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<a href="https://doi.org/10.3390/polym16172455" target="_blank" rel="noreferrer noopener">https://doi.org/10.3390/polym16172455</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203853417&doi=10.3390%2Fpolym16172455&partnerID=40&md5=1ecd644f24d1b81c216899e9129367c5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203853417&doi=10.3390%2fpolym16172455&partnerID=40&md5=1ecd644f24d1b81c216899e9129367c5</a>
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All Open Access; Gold Open Access; Green Open Access
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ISSN: 20734360
Format
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Online
Language
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English
Type
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Article
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Davis D., Department of Life Sciences, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bengaluru, 560029, India; Umesh M., Department of Life Sciences, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bengaluru, 560029, India; Santhosh A.S., Department of Life Sciences, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bengaluru, 560029, India; Suresh S., Department of Life Sciences, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bengaluru, 560029, India; Shanmugam S., Institute of Forestry and Engineering, Estonian University of Life Sciences, Kreutzwaldi 56, Tartu, 51014, Estonia; Kikas T., Institute of Forestry and Engineering, Estonian University of Life Sciences, Kreutzwaldi 56, Tartu, 51014, Estonia
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Dublin Core
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/.
Title
A name given to the resource
Articles
Article
Faculty Publications -Articles
Dublin Core
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/.
Title
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Extraction of Graphene Nanostructures from Colocasia esculenta and Nelumbo nucifera Leaves and Surface Functionalization with Tin Oxide: Evaluation of Their Antibacterial Properties
Subject
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asntibiotics; graphene; nanoparticles; nanostructures; renewable resources
Description
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Expeditious evolution of antimicrobial resistance in recent years has been identified as a growing concern by various health organizations around the world. Herein, facile and environmentally benign production of highly antibacterial carbonaceous nanomaterials from Colocasia esculenta and Nelumbo nucifera leaves is reported. After carbonization and oxidative treatment, smaller graphene domains are formed in Colocasia esculenta derivatives, whereas larger sheetlike structures are observed in the case of Nelumbo nucifera. Smaller particle size makes quantum confinement effects more prominent, as is evident in fine-tuning of the photoluminescence emission after each stage of treatment. The influence of precursor materials on the antibacterial properties of the nanosystems is also demonstrated. When microbiocidal activity was tested against model bacteria Pseudomonas aeruginosa, the nanocomposite derived from Colocasia esculenta leaves showed higher activity than the antibiotic drug clarithromycin (control) with a measured zone of inhibition of 400.5 mm. This is one of the highest values reported in comparison with plant-based carbonsilver nanosystems. Quantitative analysis revealed that the nanocomposite obtained from Colocasia esculenta leaves has antimicrobial efficacy equivalent to those of commercial antibiotic drugs and is able to eradicate bacteria at much lower concentrations than that obtained from Nelumbo nucifera leaves. 2020 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim
Creator
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Mohan A.N.; Manoj B.
Source
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Chemistry - A European Journal, Vol-26, No. 36, pp. 8105-8114.
Publisher
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Wiley-VCH Verlag
Date
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2020-01-01
Identifier
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<a href="https://doi.org/10.1002/chem.202000590" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/chem.202000590</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085896755&doi=10.1002%2Fchem.202000590&partnerID=40&md5=81ed96ce162400869bef7a787934bbd9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085896755&doi=10.1002%2fchem.202000590&partnerID=40&md5=81ed96ce162400869bef7a787934bbd9</a>
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Restricted Access
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ISSN: 9476539; PubMed ID: 32222045; CODEN: CEUJE
Format
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Online
Language
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English
Type
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Article
Coverage
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Mohan A.N., Materials Science Research Laboratory, Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, 560029, Karnataka, India; Manoj B., Materials Science Research Laboratory, Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, 560029, Karnataka, India