660
20
16481
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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
Book Chapter
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Sharma, Shreya; Singh, Saloni; Ahirwar, Shweta; Panwar, Neeraj
Title
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Role of Triguna Personality Towards Emotional Expression in Relation to Emotional Regulation
Date
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01-01-2025
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Health Psychology in Integrative Health Care;pp.160-167
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<a href="https://doi.org/10.4324/9781003596806-25" target="_blank" rel="noreferrer noopener">https://doi.org/10.4324/9781003596806-25</a> <br /><br /><a href="https://www.scopus.com/pages/publications/85215246237?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85215246237?origin=resultslist</a>
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Sharma S., Department of Psychology, Christ University, NCR, Delhi, India; Singh S., Department of Psychology, Christ University, NCR, Delhi, India; Ahirwar S., Department of Psychology, Christ University, NCR, Delhi, India; Panwar N., Department of Psychology, Christ University, NCR, Delhi, India
Description
An account of the resource
With the changing times, people are more aware of their emotions regarding how to express and regulate them. The present generation is more active and expressive than the previous generation as they understand the significance of emotions in ones life. The body of literature claims that a person with better emotional understanding and expression is expected to have meaningful emotional regulation irrespective of the generation they represent. Traditional Indian Philosophy defines three essential characteristics, Sattva (purity, harmony), Rajas (activity, passion), and Tamas (resistance, darkness), that influence human behavior and experience. The degree to which one of the gunas predominates in an individual, to that extent, we characterize that person with that guna. The complicated interactions between Trigunas personality, emotional expression, and emotional regulation are examined. Considering the available facts, the present research focuses on exploring the association between emotional expression and emotion regulation strategies and the effect of the triguna personality in it, across two generations within the family. To accomplish this, a cross-sectional research design will be used to explore the generational difference, followed by a correlational research design to study the associations among variables for participants within each group. Participants would include the parents (mothers, 45 to 50 years) and their children (siblings, 18 to 24 years). The data was collected from 30 families. 2024 selection and editorial matter, Dr. Sundeep Katevarapu, Dr. Anand Pratap Singh, Dr. Priyanka Tiwari, Ms. Akriti Varshney, Ms. Priya Lanka, Ms. Aankur Pradhan, Dr. Neeraj Panwar, Dr. Kumud Sapru Wangnue; individual chapters, the contributors.
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Daughters; Emotional expression; Emotional regulations; Mothers; Socio-cultural perspective; Triguna personality
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Taylor and Francis
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ISBN: 978-104034422-4; 978-103298046-1;
Language
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English
Type
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Book chapter
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-
Dublin Core
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Title
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Faculty Publications
Book Chapter
Faculty Publications- Book Chapter
Dublin Core
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Creator
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Sharma, Shreya; Singh, Saloni; Ahirwar, Shweta; Panwar, Neeraj
Title
A name given to the resource
Role of Triguna Personality Towards Emotional Expression in Relation to Emotional Regulation
Date
A point or period of time associated with an event in the lifecycle of the resource
01-01-2025
Source
A related resource from which the described resource is derived
Health Psychology in Integrative Health Care;pp.160-167
Identifier
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<a href="https://doi.org/10.4324/9781003596806-25" target="_blank" rel="noreferrer noopener">https://doi.org/10.4324/9781003596806-25</a> <br /><br /><a href="https://www.scopus.com/pages/publications/85215246237?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85215246237?origin=resultslist</a>
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Sharma S., Department of Psychology, Christ University, NCR, Delhi, India; Singh S., Department of Psychology, Christ University, NCR, Delhi, India; Ahirwar S., Department of Psychology, Christ University, NCR, Delhi, India; Panwar N., Department of Psychology, Christ University, NCR, Delhi, India
Description
An account of the resource
With the changing times, people are more aware of their emotions regarding how to express and regulate them. The present generation is more active and expressive than the previous generation as they understand the significance of emotions in ones life. The body of literature claims that a person with better emotional understanding and expression is expected to have meaningful emotional regulation irrespective of the generation they represent. Traditional Indian Philosophy defines three essential characteristics, Sattva (purity, harmony), Rajas (activity, passion), and Tamas (resistance, darkness), that influence human behavior and experience. The degree to which one of the gunas predominates in an individual, to that extent, we characterize that person with that guna. The complicated interactions between Trigunas personality, emotional expression, and emotional regulation are examined. Considering the available facts, the present research focuses on exploring the association between emotional expression and emotion regulation strategies and the effect of the triguna personality in it, across two generations within the family. To accomplish this, a cross-sectional research design will be used to explore the generational difference, followed by a correlational research design to study the associations among variables for participants within each group. Participants would include the parents (mothers, 45 to 50 years) and their children (siblings, 18 to 24 years). The data was collected from 30 families. 2024 selection and editorial matter, Dr. Sundeep Katevarapu, Dr. Anand Pratap Singh, Dr. Priyanka Tiwari, Ms. Akriti Varshney, Ms. Priya Lanka, Ms. Aankur Pradhan, Dr. Neeraj Panwar, Dr. Kumud Sapru Wangnue; individual chapters, the contributors.
Subject
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Daughters; Emotional expression; Emotional regulations; Mothers; Socio-cultural perspective; Triguna personality
Publisher
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Taylor and Francis
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ISBN: 978-104034422-4; 978-103298046-1;
Language
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English
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Book chapter
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-
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Title
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Faculty Publications
Conference Paper
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Sharma, Smita; Rao, Roopa Shree
Title
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Organizational Factors Impacting the Retail Industry's Adoption of Blockchain Technology
Date
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01-01-2025
Source
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Smart Innovation, Systems and Technologies;Volume;440 SIST;pp.135-145
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<a href="https://doi.org/10.1007/978-981-96-3420-0_12" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-96-3420-0_12</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105012924014?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105012924014?origin=resultslist</a>
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Sharma S., TAPMI School of Business, Manipal University Jaipur, Jaipur, India; Rao R.S., Christ Deemed to be University, Bengaluru, India
Description
An account of the resource
Indian retail is undergoing a transformation due to rapid digitization and shifting consumer preferences. Blockchain technology is changing retail chain management by boosting efficiency, security, and transparency. This technology can also alter Indian retail operations by enabling verified transactions and improving inventory management to build consumer trust. Blockchain technology adoption in retail depends on organizational readiness, technological knowledge, and top management support. This study examines organizational aspects affecting blockchain adoption in retail and develops and validates a model for organizational characteristics affecting blockchain adoption. Thus, the study examines three key blockchain adoption intention constructs of blockchain knowledge, organizational readiness, and organizational support. Retailers received surveys online and the data was analyzed using SEM. The study supports that organizational management support (p?=?0.017) and organizational readiness (p?=?0.008) are significant precursors to the intention to adopt this technology. The study concludes that organizations must support and improve their readiness for modern technology with the top management's cooperation. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
Subject
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Blockchain; Organizational factors; Organizational readiness; Retail
Publisher
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Springer Science and Business Media Deutschland GmbH
Relation
A related resource
ISSN: 21903018; ISBN: 978-981963419-4;
Language
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English
Type
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Conference paper
Rights
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Restricted Access; Hardcopy may be available in the library
-
Dublin Core
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Title
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Faculty Publications
Conference Paper
Faculty Publications- Conference Papers
Dublin Core
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Sharma, Smita; Sahni, Jolly; Joy, Rosewine
Title
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Linking the Path to Zero Hunger: Analysing Sustainable Development Goals Within the Context of Global Sustainability
Date
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01-01-2025
Source
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Lecture Notes in Civil Engineering;Volume;557 LNCE;pp.362-369
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<a href="https://doi.org/10.1007/978-981-97-8348-9_44" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-8348-9_44</a> <br /><br /><a href="https://www.scopus.com/pages/publications/85209559601?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85209559601?origin=resultslist</a>
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Sharma S., Indian Institute of Technology, Uttar Pradesh, Kanpur, India; Sahni J., Prince Sultan University, NJ, Riyadh, 08544, Saudi Arabia; Joy R., Christ University, Karnataka, Bengaluru, India
Description
An account of the resource
A global framework, the Sustainable Development Goals of the United Nations, are designed to tackle the most urgent global issues. SDG 2, which stands for Zero Hunger, demonstrates a robust interconnection with the remaining seventeen goals since achieving food security and improved nutrition requires an all-encompassing approach that addresses the interconnected challenges presented by poverty, health, education, gender equality, climate change, and sustainable resource management. Within this framework, the research endeavors to ascertain the interrelationships among SDG 2 and other goals and analyze the critical goals that drive the achievement of SDG 2. Furthermore, the study provides an exhaustive analysis of the positions adopted by different nations concerning SDG 2. The results indicate that the SDGs are interconnected; while SDG 2 is closely linked to several other SDGs, their respective impacts differ. Furthermore, it has been determined that policies are crucial to attaining the SDGs. Without a transformation in agri-food systems that enhances resilience and facilitates the provision of affordable, nutritious foods and healthy diets, the current state of affairs will persist. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
Subject
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Policy measures; SDG 2 Zero Hunger; Sustainability; Sustainable agriculture; Sustainable Development Goals
Publisher
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Springer Science and Business Media Deutschland GmbH
Relation
A related resource
ISSN: 23662557; ISBN: 978-981978347-2;
Language
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English
Type
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Conference paper
Rights
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Restricted Access; Hardcopy may be available in the library
-
Dublin Core
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Title
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Faculty Publications
Article
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Sharma, Tanvi; Chen, Wen Ping; Biller, Beth; Albert, Lo; Damian, Belinda; Jose, Jessy; Lalchand, Bhavana; Liu, Michael C.; Oasa, Yumiko
Title
A name given to the resource
A Novel Survey for Young Substellar Objects with the W-band Filter. VII. Water-bearing Objects in the Core of the ? Ophiuchi Cloud Complex
Date
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01-01-2025
Source
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Astrophysical Journal;Volume;980;Issue;2;Article No.;205;
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<a href="https://doi.org/10.3847/1538-4357/ada3c3" target="_blank" rel="noreferrer noopener">https://doi.org/10.3847/1538-4357/ada3c3</a> <br /><br /><a href="https://www.scopus.com/pages/publications/85217924727?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85217924727?origin=resultslist</a>
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Sharma T., Institute of Astronomy, National Central University, 300 Zhongda Road Zhongli, Taoyuan, 32001, Taiwan; Chen W.P., Institute of Astronomy, National Central University, 300 Zhongda Road Zhongli, Taoyuan, 32001, Taiwan, Department of Physics, National Central University, 300 Zhongda Road Zhongli, Taoyuan, 32001, Taiwan; Biller B., Institute for Astronomy, Royal Observatory, University of Edinburgh, Blackford Hill, Edinburgh, EH93HJ, United Kingdom; Albert L., Institut Trottier de recherche sur les exoplanes, Universitde Montrl, Montrl, H3C 3J7, QC, Canada, Dartement de physique, Universitde Montrl, Montrl, H3C 3J7, QC, Canada; Damian B., SUPA, School of Physics Astronomy, University of St Andrews, North Haugh, St Andrews, KY16 9SS, United Kingdom, Department of Physics and Electronics, CHRIST (Deemed to be University, Hosur Road, Bengaluru, 560029, India; Jose J., Department of Physics, Indian Institute of Science Education and Research Tirupati, Yerpedu Andhra Pradesh, Tirupati, 517619, India; Lalchand B., Institute of Astronomy, National Central University, 300 Zhongda Road Zhongli, Taoyuan, 32001, Taiwan; Liu M.C., Institute for Astronomy, University of Hawaii, 2680 Woodlawn Drive, Honolulu, 96822, HI, United States; Oasa Y., Faculty of Education, Graduate School of Science and Engineering, Saitama University, 255, Shimo-Okubo, Sakura, Saitama, 338-8570, Japan
Description
An account of the resource
We present a study of very low mass stars and brown dwarfs in the rich star-forming core of the ? Ophiuchi cloud complex. The selection of the sample relies on detecting the inherent water absorption characteristic in young substellar objects. Of the 22 water-bearing candidates selected, 15 have a spectral type of M6 or later. Brown dwarf candidates too faint for membership determination by Gaia have their proper motions derived by deep-infrared images spanning 6 yr. Astrometric analysis confirms 21/22 sources as members, with one identified as a contaminant. Infrared colors and the spectral energy distribution of each water-bearing candidate are used to diagnose the mass, age, and possible existence of circumstellar dust. A total of 15 sources exhibit evidence of disks in their spectral energy distributions, as late as in M8-type objects. Spectroscopy for bright candidates has confirmed one as an M8 member and verified two sources (with disks) exhibiting signatures of magnetospheric accretion. 2025. The Author(s). Published by the American Astronomical Society.
Publisher
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Institute of Physics
Relation
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ISSN: 0004637X;
Language
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English
Type
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Article
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All Open Access; Gold Open Access; Green Open Access
Format
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online
-
Dublin Core
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Title
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Faculty Publications
Article
Faculty Publications -Articles
Dublin Core
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Sharma, Vandana; Midhunchakkaravarthy, Divya
Title
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Trusted explainable AI based implementation for detection of neurodegenerative disorders (ND)
Date
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01-01-2025
Source
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International Journal of Information Technology (Singapore);Volume;17;Issue;2;pp.1275-1282
Identifier
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<a href="https://doi.org/10.1007/s41870-024-02254-6" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s41870-024-02254-6</a> <br /><br /><a href="https://www.scopus.com/pages/publications/85212154627?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85212154627?origin=resultslist</a>
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Sharma V., Department of Computer Science and Multimedia, Lincoln University College, Petaling Jaya, Malaysia, Christ University, Bengaluru, India; Midhunchakkaravarthy D., Department of Computer Science and Multimedia, Lincoln University College, Petaling Jaya, Malaysia
Description
An account of the resource
The potential of explainable artificial intelligence (XAI) in detection of neurodegenerative disorders (ND) holds great promise in the field of healthcare. These diseases interfere with the daily functioning and independence of a person. The current studies lack in highlighting the aspect of explainability in their predictions and the various algorithms cannot provide any plausible explanations for their predictions making it difficult for medical professionals to place trust in their findings. Thus, the proposed framework aims to bridge this gap by exploring the development of a trustworthy framework for XAI-based ND detection, focusing on key aspects that can significantly impact its effectiveness and acceptance. The framework makes use of Trust-based SHAP (SHapley Additive exPlanations) values in classification. By computing trust values, the framework ensures more reliable predictions and increases interpretability, instilling confidence in clinicians and patients. The results show that with the inclusion of the trust-driven framework, the accuracy of the algorithm increased from 93.33% in the normal circumstances to 98.21%, highlighting the efficacy of the framework as compared to the other works. This shows that a trustworthy framework for XAI-driven ND detection can reshape care by enabling early detection, personalized treatment plans and enhancing decision-making process. Bharati Vidyapeeth's Institute of Computer Applications and Management 2024.
Subject
The topic of the resource
Artificial intelligence (AI); Explainable AI (XAI); Neurodegenerative disorders (ND); Shapely additive explanations; Trust
Publisher
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Springer Science and Business Media B.V.
Relation
A related resource
ISSN: 25112104;
Language
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English
Type
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Article
Rights
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Restricted Access; Hardcopy may be available in the library
Format
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online
-
Dublin Core
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Title
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Faculty Publications
Book
Faculty Publications- Book
Dublin Core
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Sharma, Vandana; Raj, Pethuru; Balusamy, Balamurugan; Dhanaraj, Rajesh Kumar
Title
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Metaverse for Sustainable Development: Trends and Applications
Date
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01-01-2025
Source
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Metaverse for Sustainable Development: Trends and Applications;pp.1-385
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<a href="https://doi.org/10.1002/9781394272228" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/9781394272228</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105020119326?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105020119326?origin=resultslist</a>
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Sharma V., CHRIST University, India; Raj P., Reliance Jio Platforms, India; Balusamy B., Shiv Nadar University, India; Dhanaraj R.K., Symbiosis International University, India
Description
An account of the resource
Unlock the future of technology and sustainable development by purchasing Metaverse for Sustainable Development: Trends and Applications, a comprehensive guide that delves into immersive application building, groundbreaking innovations, and the transformative potential of the metaverse across various industries. Metaverse for Sustainable Development: Trends and Applications explains the fine details of metaverse application building, demonstrating how integrated platforms in association with a suite of tools come in handy for enabling application construction. The metaverse is the next big thing influenced by virtual and augmented reality paradigms. This user experience will be more immersive and mesmerizing, empowering innovative, disruptive, and transformative technologies to create a spectacular platform for visualizing and realizing business-critical and people-centric metaverse systems. This book explores various metaverse models for healthcare information systems, including the latest technologies, such as the Brain-Computer Interface. Through real-world data and case studies, readers will gain a comprehensive understanding of the metaverses potential for the Internet of Things, blockchain, artificial intelligence, 5G, and 3D modelling for creating and sustaining immersive virtual worlds. Metaverse for Sustainable Development: Trends and Applications is a vital resource for understanding the end-to-end implementation of metaverse technologies. 2025 Scrivener Publishing LLC.
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wiley
Relation
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ISBN: 978-139427222-8; 978-139427219-8;
Language
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English
Type
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Book
Rights
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Restricted Access; Hardcopy may be available in the library
-
Dublin Core
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Title
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Faculty Publications
Article
Faculty Publications -Articles
Dublin Core
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Sharma, Vandana; Rani, Seema; Raj, Arman; Shanu, Ankit Kumar; Iwendi, Celestine
Title
A name given to the resource
Quantum technologies outreach and AI
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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International Journal of Services, Economics and Management;Volume;16;Issue;2026-05-04 00:00:00;pp.556-577
Identifier
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<a href="https://doi.org/10.1504/IJSEM.2025.148477" target="_blank" rel="noreferrer noopener">https://doi.org/10.1504/IJSEM.2025.148477</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105015966970?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105015966970?origin=resultslist</a>
Coverage
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Sharma V., Christ University, Delhi NCR Campus, India; Rani S., Amity Institute of Information Technology, Amity University, Noida Campus, India; Raj A., SCSE, Galgotias University, Greater Noida, India; Shanu A.K., SCSE, Galgotias University, Greater Noida, India; Iwendi C., School of Creative Technologies, University of Bolton, United Kingdom
Description
An account of the resource
Quantum computing is one of the buzzing technologies in this modern computational era. Quantum computing is purely based on quantum mechanics as few dormant applications and advanced studies of quantum computers are integrated with quantum mechanics. This paper highlights the seven perspectives of quantum computing which is essential to get deep insights of quantum computing. The seven prerequisites are superposition, decoherence, entanglement, linear algebra, classical mechanics, quantum Fourier analysis and many body systems. The main objective of this paper is to find few stupendous impacts of this computing which will complement and explore various applications of artificial intelligence like weather pattern identification, traffic prediction, e-mail spam filtering, logistics optimisation, etc. This paper discusses visions of the top quantum computing companies and their contributions to quantum technologies. In this paper, a comparative analysis has been presented between quantum computing and classical computing. The major challenges which quantum computing faces have been addressed. Copyright 2025 Inderscience Enterprises Ltd.
Subject
The topic of the resource
entanglement; quantum computing; quantum Fourier analysis; quantum mechanics; superposition
Publisher
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Inderscience Publishers
Relation
A related resource
ISSN: 17530822;
Language
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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
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Title
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Faculty Publications
Book Chapter
Faculty Publications- Book Chapter
Dublin Core
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Sharma, Varsha; Dixit, Pragti; Bhatnagar, Mukul; Varghese, Nikhil; Singh, Anshuman
Title
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Economic Growth, Human Resource Development, and Climate Resilience in BRICS A Panel Data Analysis
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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Promoting Climate Change Mitigation and Resilience Strategies Through Human Resource Management;pp.53-86
Identifier
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<a href="https://doi.org/10.4018/979-8-3373-2479-1.ch003" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-2479-1.ch003</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105027482603?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105027482603?origin=resultslist</a>
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Sharma V., Chandigarh University, Mohali, India; Dixit P., Chandigarh University, Mohali, India; Bhatnagar M., Graphic Era University, Uttarakhand, India; Varghese N., Christ University, Bengaluru, India; Singh A., Graphic Era University, India
Description
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Present study employs panel data analysis on BRICS economies data spanning from 2000 to 2023, to examine the impact of human resource development, renewable energy consumption, and carbon emissions on GDP per capita of BRICS economies,finding that while human capital strongly drives growth, renewable energy has a positive but weaker effect, and carbon emissions remain tightly linked to GDP, underscoring the persistent reliance on carbon-intensive industries, ultimately highlighting the need for policy shifts toward sustainable growth through education, clean energy transitions, and regulatory frameworks that balance industrialization with climate resilience. 2026 by IGI Global Scientific Publishing. All rights reserved.
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IGI Global
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ISBN: 979-833732481-4; 979-833732479-1;
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English
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Book chapter
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Restricted Access; Hardcopy may be available in the library
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Faculty Publications
Article
Faculty Publications -Articles
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Sharma, Vinod; Kapse, Manohar; Elangovan, N.; Mahajan, Yogesh; Medhini, Bethu
Title
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Analyzing SDGs in high-and-low-emission industries: a comparative study of sustainability reports
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01-01-2025
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Discover Sustainability;Volume;6;Issue;1;Article No.;697;
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<a href="https://doi.org/10.1007/s43621-025-01193-x" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s43621-025-01193-x</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105011686344?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105011686344?origin=resultslist</a>
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Sharma V., Symbiosis Centre for Management and Human Resource Development, Symbiosis International (Deemed University), Pune, India; Kapse M., Jaipuria Institute of Management, Indore, India; Elangovan N., School of Business and Management, Christ University, Bangalore, India; Mahajan Y., Symbiosis Centre for Management and Human Resource Development, Symbiosis International (Deemed University), Pune, India; Medhini B., School of Business and Management, Christ University, Bangalore, India
Description
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This study assesses different Sustainable Development Goals (SDGs) in high- and low-polluting industries through a comparative analysis of sustainability reports. The objective is to evaluate SDG-related terms in reports from 16 companies across four sectorsCement, Automobile, Electric Equipment, and ITover five years. Using Python for data extraction and the text2sdg package in R programming for SDG term detection, the study identifies both prioritized and overlooked SDGs. Results indicate that high and low-polluting industries share similar SDG focus areas. SDGs 6 (Clean Water and Sanitation), 12 (Responsible Consumption and Production), and 13 (Climate Action) received the most attention. In contrast, SDGs 1 (No Poverty), 2 (Zero Hunger), 5 (Gender Equality), 10 (Reduced Inequalities), and 14 (Life Below Water) are consistently underrepresented. The findings suggest that both categories of industries acknowledge the importance of sustainability, yet significant gaps remain in addressing social and environmental challenges. This research contributes to the broader discourse on corporate sustainability and its role in achieving the 2030 Agenda, offering actionable insights for industries to increase their focus on less-considered SDGs. By identifying areas of improvement, the study supports efforts to foster more inclusive and environmentally responsible business practices. The Author(s) 2025.
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Comparative analysis; High polluting; Low polluting; Sustainability reports; Sustainable development goals; Text analysis
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Springer Nature
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ISSN: 26629984;
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English
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Article
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All Open Access; Gold Open Access; Green Open Access
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online
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Faculty Publications
Article
Faculty Publications -Articles
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Sharma, Vinod; Poulose, Jeanne; Mahajan, Yogesh; Kapse, Manohar
Title
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EcoFlow choices: factors influencing sustainable menstrual hygiene product decisions
Date
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01-01-2026
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Cogent Business and Management;Volume;13;Issue;1;Article No.;2614363;
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<a href="https://doi.org/10.1080/23311975.2026.2614363" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/23311975.2026.2614363</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105027855255?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105027855255?origin=resultslist</a>
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Sharma V., Symbiosis Centre for Management & Human Resource Development, Symbiosis International (Deemed University), Pune, India; Poulose J., School of Business and Management, CHRIST (Deemed to be University), Delhi-NCR, India; Mahajan Y., Symbiosis Centre for Management & Human Resource Development, Symbiosis International (Deemed University), Pune, India; Kapse M., Jaipuria Institute of Management, Indore, India
Description
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This study examines how knowledge and emotional response (affect) influence consumer buying behaviour toward eco-friendly menstrual hygiene products, with a particular focus on the mediating role of affect. A cross-sectional design was employed, and data were collected via an online survey of 356 urban Indian women using purposive sampling. Data were analysed using Structural Equation Modelling (SEM) with SPSS (v25) and AMOS (v24). The results reveal that both knowledge and affect significantly shape purchasing decisions. However, affect exerts a stronger influence than knowledge alone. Importantly, affect also mediates the relationship between knowledge and buying behaviour, underscoring the critical role of emotional engagement in promoting sustainable consumer choices. These findings suggest that marketing strategies should not only aim to inform consumers but also foster positive emotional connections with eco-friendly products. The study offers meaningful contributions to the field of green consumer behaviour and carries important implications for sustainability-driven marketing practices. It supports the goals of the United Nations Sustainable Development Agenda, particularly SDG 3 (Good Health and Well-being) and SDG 12 (Responsible Consumption and Production), by highlighting how promoting eco-friendly menstrual hygiene products can reduce environmental impact and support womens health. This research provides insightful implications for policymakers, marketers, and sustainability advocates to guide sustainable consumption behaviour among people. 2026 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
Subject
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affect, behaviour, and cognition (ABC); buying behaviour; eco-friendly menstrual hygiene; Sustainable Development Goals (SDGs); sustainable menstrual ways; Womens health
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Cogent OA
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ISSN: 23311975;
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English
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Article
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All Open Access; Gold Open Access; Green Open Access
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online
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Title
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Articles
Article
Faculty Publications -Articles
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Title
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Rhetoric as an instrument for manipulation and distortion of truth an analysis of Orwell's 1984
Subject
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Doublethink; Language; Newspeak; Propaganda; Reason; Rhetoric; State; Totalitarianism
Description
An account of the resource
Aristotle, in his Rhetoric, points out that all individuals indulge in rhetoric to demonstrate the truth or righteousness in what one wants to say. Problems arise only when rhetoric is used to appeal to emotions, rather than reason. In the current times, when rhetoric is used by leaders for propaganda, to whip up emotions in terms of nationalism and racism, George Orwell's remark that "political language is designed to make lies sound truthful and murder respectable,"6 sounds relevant. The author examines Orwell's 1984 to demonstrate how rhetoric is a powerful tool in the hands of political leaders that can control the thoughts of individuals, to the extent of reducing them to non-entities. In an era where manufacture of consent is possible, the paper highlights how the quality of rhetoric has vitiated over time and the concern that the abuse of language prevalent in fascist regimes of Hitler and Stalin is slowly creeping into democracies too. A peaceful and harmonious existence is possible only when political leaders engage in responsible rhetoric and are willing to dialogue with dissenting voices. 2017 Journal of Dharma: Dharmaram Journal of Religions and Philosophies (DVK, Bangalore).
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Sharmila
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Journal of Dharma, Vol-42, No. 1, pp. 9-28.
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Dharmaram College, Centre for the Study of World Religions
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2017-01-01
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<a href="" target="_blank" rel="noreferrer noopener"></a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85033794170&partnerID=40&md5=dfee8a704576e4403f1bd1a899c1813a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85033794170&partnerID=40&md5=dfee8a704576e4403f1bd1a899c1813a</a>
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ISSN: 2537222
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Online
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English
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Article
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Sharmila, Christ University, Bangalore, India
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Articles
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Soil classification using active contour model for efficient texture feature extraction
Subject
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Active contour model; Color features; Fourier transforms; Soil classification; Texture features
Description
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Precision farming is a systematic approach in agriculture that aims in improving economic and environment status of the farmers. It is achieved by having prior knowledge on soil texture, nutrient, pH and other climatic conditions. Hence this paper proposes a soil classification for crop prediction approach that uses an active contour algorithm for band estimation in Fourier domain for efficient texture feature extraction. This approach initially segments the soil sample and extracts into the color and texture features. The approach proposes a texture feature extraction where the image is initially transformed to Fourier domain of a 2D-discrete Fourier transform. The image in the Fourier domain is classified into high and low-frequency bands. The cut off frequency is decided by final contour of active contour method, where initial circular contour is used for estimating final contours on Fourier coefficients. This leads to the estimation of an irregular-shaped cut off frequency along with the 2D Fourier coefficients, instead of using a circular-shaped cut off frequency. A local binary pattern (LBP) from the high-frequency band image extracts texture feature. The extracted texture and color features are trained using a fully connected network. Active contour-based proposed model was evaluated by metrics F1-score, accuracy, specificity, sensitivity, and precision on soil datasets of Kaggle and IRSID. The accuracy, F1-score, specificity, precision, and sensitivity of proposed approach active contour-based were estimated as 97.89%, 97.87%, 99.46%, 98.11 and 97.94% respectively when evaluated in the Kaggle dataset. The evaluation results of proposed active contour model based soil classification outperform other traditional approaches. 2023, The Author(s), under exclusive licence to Bharati Vidyapeeth's Institute of Computer Applications and Management.
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Sharmila G.; Rajamohan K.
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International Journal of Information Technology (Singapore), Vol-15, No. 7, pp. 3791-3805.
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Springer Science and Business Media B.V.
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2023-01-01
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<a href="https://doi.org/10.1007/s41870-023-01404-6" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s41870-023-01404-6</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85168137188&doi=10.1007%2Fs41870-023-01404-6&partnerID=40&md5=f118ab7aa3c2cfb0b55c11eaa2983c7e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85168137188&doi=10.1007%2fs41870-023-01404-6&partnerID=40&md5=f118ab7aa3c2cfb0b55c11eaa2983c7e</a>
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ISSN: 25112104 | CS; 2023-2024; Vol-1; 00215-00220
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Online
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English
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Article
Coverage
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Sharmila G., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Rajamohan K., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Bengaluru, India
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Book Chapter
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A Systematic Literature Review on Image Preprocessing and Feature Extraction Techniques in Precision Agriculture
Subject
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Computer vision; Feature extraction; Image preprocessing; Precision agriculture; Soil pH and soil nutrition
Description
An account of the resource
Revolutions in information technology have been helping agriculturists to increase the productivity of the cultivation. Many techniques exist for farming, but precision agriculture (PAg) is one technique that has gained popularity and has become a valuable tool for agriculture. Nowadays, farmers find it difficult to get expert advice regarding crops on time. As a solution, image processing techniques (IPTs) embedded PAg applications are developed to support farmers for the benefit of agriculture. In recent years, IPT has contributed a lot to provide a significant solution in PAg. This systematic review provides an understanding on preprocessing and feature extraction in PAg applications along with limitations. Preprocessing and feature extraction are the major steps of any application using IPTs. This study gives an overall view of the different preprocessing, feature extraction, and classification methods proposed by the researchers for PAg. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Sharmila G.; Rajamohan K.
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Lecture Notes on Data Engineering and Communications Technologies, Vol-114, pp. 333-354.
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Springer Science and Business Media Deutschland GmbH
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2022-01-01
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<a href="https://doi.org/10.1007/978-981-16-9416-5_24" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-9416-5_24</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133686499&doi=10.1007%2F978-981-16-9416-5_24&partnerID=40&md5=b22e32ac07a7a3a72aaf1fc38c1fbf47" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133686499&doi=10.1007%2f978-981-16-9416-5_24&partnerID=40&md5=b22e32ac07a7a3a72aaf1fc38c1fbf47</a>
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ISSN: 23674512
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Online
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English
Type
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Book chapter
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The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Sharmila G., Department of Computer Science, CHRIST (Deemed To Be University), Bangalore, 560029, India; Rajamohan K., Department of Computer Science, CHRIST (Deemed To Be University), Bangalore, 560029, India
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Conference Papers
Conference Paper
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Digital Soil Texture Classification Using Machine Learning Approaches
Subject
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Feature extraction; Image processing; Neural network; Soil texture classification; Support vector machines
Description
An account of the resource
The texture of the soil is an important factor to consider during cultivation. The water transmission property is being regulated by the texture of the soil. To determine sand, silt and clays percentage present in a soil sample, a conventional laboratory method is used, which consumes more time. Digitization in agriculture has given a new direction of innovative research in agriculture domain. In this paper, based on image processing an efficient model has been developed for soil texture classification. Eight different image preprocessing techniques were used for the image enhancement. Out of that, the linear contrast adjustment found to be best in image enhancement. A feature vector was calculated by extracting six different features from the enhanced image. The feature vector of an image is input to the machine learning classifier. The various classifiers used in this research work are SVM, KNN, ANN and PNN. The accuracy of the classifiers was SVM (0.98), KNN (0.89), ANN (0.89) and PNN (0.86). From the result, it is found SVM model has higher rate in classification of soil. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
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Sharmila G.; Rajamohan K.
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Lecture Notes in Networks and Systems, Vol-1, pp. 133-144.
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Springer Science and Business Media Deutschland GmbH
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2024-01-01
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<a href="https://doi.org/10.1007/978-981-99-5015-7_12" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-99-5015-7_12</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200410154&doi=10.1007%2F978-981-99-5015-7_12&partnerID=40&md5=95bee10db245da83e37fe543ad68bcde" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200410154&doi=10.1007%2f978-981-99-5015-7_12&partnerID=40&md5=95bee10db245da83e37fe543ad68bcde</a>
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ISSN: 23673370; ISBN: 978-981995014-0
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Online
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English
Type
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Conference paper
Coverage
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Sharmila G., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India; Rajamohan K., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India
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Conference Papers
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Image Processing and Artificial Intelligence for Precision Agriculture
Subject
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Image processing; neural network; Precision agriculture; Satellite imagery; UAV images
Description
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Precision agriculture is a novel approach to increase the productivity of crops that employs recent technologies such as Artificial Intelligence, WSN, cloud computing, Machine Learning, and IoT. This paper reviews the development of different techniques effectively used in precision agriculture. The paper details the technological impact on precision agriculture followed by the different image processing schemes such as Satellite imagery and unmanned aerial vehicle (UAV). The role of precision agriculture is disease detection, weed detection from UAV images, and detection of trees and contaminated soils from satellite imagery is discussed. It reviews the impact of artificial intelligence (AI) namely machine learning &deep learning in precision agriculture. The performance of the recent image processing schemes in precision agriculture is analyzed. The paper also discusses the challenges that exist in implementing the precision agriculture system. 2022 IEEE.
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Sharmila G.; Rajamohan K.
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Proceedings of the 2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems, ICSES 2022
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Institute of Electrical and Electronics Engineers Inc.
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2022-01-01
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<a href="https://doi.org/10.1109/ICSES55317.2022.9914148" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICSES55317.2022.9914148</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141489349&doi=10.1109%2FICSES55317.2022.9914148&partnerID=40&md5=e0cd6d4a81976c26ab582ce03324d1d4" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141489349&doi=10.1109%2fICSES55317.2022.9914148&partnerID=40&md5=e0cd6d4a81976c26ab582ce03324d1d4</a>
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ISBN: 978-166547413-9
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Online
Language
A language of the resource
English
Type
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Conference paper
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Sharmila G., Department of Computer Science CHRIST (Deemed to Be University), Chennai, India; Rajamohan K., Department of Computer Science CHRIST (Deemed to Be University), Chennai, India
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Articles
Article
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An empirical study on the clients perspective in decision making with regard to lawyer selection for trial courts: Does grey hair matter?
Subject
The topic of the resource
Age; Clients lawyer selection; Junior lawyers; Seniority; Trial court
Description
An account of the resource
In higher courts, statutory interpretation and persuasion of the court with new perspectives on legal principles are critical. Whereas, the main focus of the subordinate courts is on evidential underpinnings. Hence, the lawyers in all courts are an indispensable part of the judicial process and play a seminal role in the dispensation of justice. The existing literature demonstrates that engaging a senior lawyer increases the chances of winning cases. However, young lawyers today make their mark by establishing their own offices, succeeding in the profession, while some remain the dark horses of their incumbent seniors. Against this backdrop, the authors explore the clients perception of the lawyer selection process and the significance of lawyers age using a mixed methods approach. The data for this study was gathered from trial court clients using a convenient sampling method. The qualitative data were collected by conducting semi-structured interviews with clients. Interviews were analysed at a thematic level and broad themes were identified and used as constructs for a quantitative survey questionnaire. The quantitative data were analysed through Pearson correlation, regression analysis, and factor analysis. The study determined that lawyers efficiency is a key factor considered by trial court clients in selecting their lawyers. The results also revealed that there exists a significant positive correlation between the age of the lawyer and the clients decision making when choosing their lawyers. In the end, the implications of the findings are discussed. 2022, The Author(s), under exclusive licence to O.P. Jindal Global University (JGU).
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Sharmila H.S.; Jain S.A.
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Jindal Global Law Review, Vol-13, No. 2, pp. 277-305.
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Springer Science and Business Media B.V.
Date
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2022-01-01
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<a href="https://doi.org/10.1007/s41020-022-00181-w" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s41020-022-00181-w</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143415518&doi=10.1007%2Fs41020-022-00181-w&partnerID=40&md5=595e7e8b818f5db600554f0b1babce12" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143415518&doi=10.1007%2fs41020-022-00181-w&partnerID=40&md5=595e7e8b818f5db600554f0b1babce12</a>
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All Open Access; Bronze Open Access
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ISSN: 9752498
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Online
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English
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Article
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Sharmila H.S., CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Jain S.A., CHRIST (Deemed to be University), Karnataka, 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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Orhan pamuks the white castle as a text on secular discourse
Description
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The impact of religious thought and practice on literature and culture was very evident till the latter part of the nineteenth century. But with the publication of Darwins Origin of Species, voices of dissent were heard from the scientific and literary world. Writers strongly felt that the objective of literature was not to be dogmatic, but to provide the necessary ingredients that would contribute to a healthy and secular society. The emergence of postmodernism saw religion once again taking center stage. This paper seeks to understand what secularism is, and the evolution in meaning this term has undergone over the ages. In this process, the theories and ideas of religious and political thinkers are examined to understand the essence of the term secularism. In an era when religious fundamentalism is on the rise and literature is censured on religious or cultural grounds, the paper analyzes Orhan Pamuks The White Castle and concludes with the contention that the text can definitely be a source of secular discourse (which indeed is the essence of religious texts) that nations can emulate, contrary to the idea of narrow secular nationalism currently being propagated by States. IUP Publications. All rights reserved.
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Sharmila N.
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IUP Journal of English Studies, Vol-15, No. 4, pp. 103-115.
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IUP Publications
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2020-01-01
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<a href="" target="_blank" rel="noreferrer noopener"></a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102990481&partnerID=40&md5=13364ffe83b386ebf11530012b765ad4" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102990481&partnerID=40&md5=13364ffe83b386ebf11530012b765ad4</a>
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Restricted Access
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ISSN: 9733728
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Online
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English
Type
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Article
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Sharmila N., CHRIST (Deemed to be University), Hosur Road, Bengaluru Karnataka, 560029, India
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Conference Papers
Conference Paper
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Weighted Mask Recurrent-Convolutional Neural Network based Plant Disease Detection using Leaf Images
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Convolutional Neural Network (CNN); Grey Level Cooccurence Matrix (GLCM); Recurrent Neural Network (RNN)
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Large losses in output, money, and quality/quantity of agricultural goods are incurred due to plant diseases. Seventy percent of India's GDP is tied to the agricultural sector, thus protecting plants from diseases is crucial. For this reason, it is important to keep an eye on plants from the moment they sprout. The usual approach for this omission is naked eye inspection, which is more time-consuming, costly, and requires significant skill. Thus, automating the method for detecting diseases is necessary to speed up this process. It is imperative that image processing methods be used in the creation of the illness detection system. Disease detection involves a number of processes, including Weighted Mask R-CNN, GLCM feature extraction, Multi-thresholding image pre-processing, and K means image segmentation classification. The weighted Mask R-CNN outperforms the standard RNN, the Mask R-CNN, and the CNN in terms of accuracy and recall in analytical trials by a significant margin. 2023 IEEE.
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Sharmila R.; Kamalitta R.; Moorthy; Singh D.P.; Chauhan A.; Acharjee P.B.
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Proceedings of the 7th International Conference on Intelligent Computing and Control Systems, ICICCS 2023, pp. 681-687.
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Institute of Electrical and Electronics Engineers Inc.
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2023-01-01
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<a href="https://doi.org/10.1109/ICICCS56967.2023.10142777" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICICCS56967.2023.10142777</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163838511&doi=10.1109%2FICICCS56967.2023.10142777&partnerID=40&md5=4a254a9f8217a758e2a38ef4b1ab78a2" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163838511&doi=10.1109%2fICICCS56967.2023.10142777&partnerID=40&md5=4a254a9f8217a758e2a38ef4b1ab78a2</a>
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Restricted Access
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ISBN: 979-835039725-3
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Online
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English
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Conference paper
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Sharmila R., Dhanalakshmi Srinivasan Engineering College, Department of MCA, Tamilnadu, Perambalur, India; Kamalitta R., Information Technology, K.Ramakrishnan College of Engineering, Tamilnadu, Trichy, India; Moorthy, Electronics Engineer, Production, Dhaksha Unmanned System Pvt Ltd, Tamilnadu, Chennai, India; Singh D.P., Graphic Era Deemed to Be University, Department of Computer Science & Engineering, Uttrakhand, Dehradun, India; Chauhan A., CHRIST (Deemed to Be University), Department of Life Sciences, Karnataka, Bengaluru, India; Acharjee P.B., CHRIST University, Faculty Member, Computer Science, Maharashtra, Pune, India
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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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Faculty Publications
Conference Paper
Faculty Publications- Conference Papers
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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/.
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Sharmila, B.; Sowmiya, A.; Mary, Teena; Sandeep, J.; Sreeja, C.S.
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A Comprehensive Survey of Methods for Identifying Counterfeit Banknotes Using Image Processing and Machine Learning
Date
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01-01-2025
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Lecture Notes in Networks and Systems;Volume;1164 LNNS;pp.555-573
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<a href="https://doi.org/10.1007/978-981-97-8329-8_41" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-8329-8_41</a> <br /><br /><a href="https://www.scopus.com/pages/publications/85219207663?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85219207663?origin=resultslist</a>
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Sharmila B., CHRIST University, Dharmaram College Post, Hosur Road, Karnataka, Bengaluru, 560029, India; Sowmiya A., CHRIST University, Dharmaram College Post, Hosur Road, Karnataka, Bengaluru, 560029, India; Mary T., CHRIST University, Dharmaram College Post, Hosur Road, Karnataka, Bengaluru, 560029, India; Sandeep J., CHRIST University, Dharmaram College Post, Hosur Road, Karnataka, Bengaluru, 560029, India; Sreeja C.S., CHRIST University, Dharmaram College Post, Hosur Road, Karnataka, Bengaluru, 560029, India
Description
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The world economy is threatened by counterfeit currencies. Counterfeit currencies are often difficult, time-consuming and ineffective to identify manually. Automated methods based on image processing techniques and machine learning algorithms are helpful in detecting counterfeit notes. This survey paper reviews the current strategies on fake banknote detection using image processing techniques and machine learning algorithms. We discuss various stages of the detection process, including image acquisition, preprocessing, feature extraction and classification. Furthermore, we analyze the limitations and comparative performance of different algorithms and approaches mentioned in the literature. The survey aims to provide insights into the various methodologies, challenges and future directions in the field of fake banknote detection, facilitating the development of more robust and effective counterfeit detection systems. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
Subject
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CNN; Counterfeit banknotes; Fake currency detection; Image processing; KNN; Machine learning; Security features; SVM
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Springer Science and Business Media Deutschland GmbH
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ISSN: 23673370; ISBN: 978-981978328-1;
Language
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English
Type
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Conference paper
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Restricted Access; Hardcopy may be available in the library