87 20 16481 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 Faculty Publications Book Chapter Faculty Publications- Book Chapter 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/. Creator An entity primarily responsible for making the resource Bansal, Videsha; Amruthavarshini, M.S.; Jayasankara Reddy, K. Title A name given to the resource The role of technology in advancing psychoneuroimmunology research 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 Research Methodologies and Practical Applications in Psychoneuroimmunology;pp.393-419 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3693-7432-0.ch018" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-7432-0.ch018</a> <a href="https://www.scopus.com/pages/publications/105003090769?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105003090769?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 Bansal V., Christ University, India; Amruthavarshini M.S., Christ University, India; Jayasankara Reddy K., Christ University, India Description An account of the resource This chapter explores the transformative impact of technology on Psychoneuroimmunology (PNI), emphasizing advancements in neuroimaging, genomics, and proteomics. Techniques like functional MRI (fMRI) and Positron Emission Tomography (PET) have revolutionized our understanding of brain activity and neuroinflammation. Next-generation sequencing (NGS) and proteomic profiling have unveiled genetic and protein biomarkers linked to stress and immune responses. Wearable technology and mobile health apps now enable continuous monitoring and personalized stress management. Big data analytics and machine learning enhance pattern identification and outcome prediction. Ethical considerations, including data privacy and equity, are discussed alongside emerging technologies like AI and nanotechnology. Overall, the chapter highlights how these innovations are reshaping PNI research and improving treatment for stress-related disorders. 2025 by IGI Global Scientific Publishing. All rights reserved. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-836937434-4; 979-836937432-0; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library 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 Faculty Publications Book Chapter Faculty Publications- Book Chapter 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/. Creator An entity primarily responsible for making the resource Bansal, Yashwardhan; Jha, Babita Title A name given to the resource Overcoming barriers: Challenges and opportunitiesin multi-stakeholder collaboration for sustainable supply chain 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 Multi-Stakeholder Collaboration for Sustainable Supply Chain;pp.53-74 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3693-8925-6.ch003" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-8925-6.ch003</a> <a href="https://www.scopus.com/pages/publications/105008593434?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105008593434?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 Bansal Y., Christ University, India; Jha B., Christ University, India Description An account of the resource Multi- stakeholder collaboration is increasingly recognized as a critical component of sustainable development, particularly in complex supply chains. A supply chain is a simple tool that sustainably excels in every TBL component. This Chapter emphasizes the adoption of sustainability in supply chains and its results which are influenced by two key elements. The first crucial component is the managerial orientation toward sustainability which is how managers and decision- makers see sustainability and how it relates to their incentives to carry out sustainability activities. National and international development organizations have started integrated multi- stakeholder projects supporting creative solutions to poverty and environmental degradation. Among the noteworthy projects are those that promote sustainable livelihoods market- driven human development and the use of ecosystem services to reduce poverty. Difficulties in communicating because of language, priority, expertise gaps, power imbalances, and divergent interests. 2025, IGI Global Scientific Publishing. All rights reserved. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-836938927-0; 979-836938925-6; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library 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 Conference Papers Conference Paper Faculty Publications- Conference Papers 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 An Innovative Method for Fuel Consumption and Maintenance Cost of Heavy-Duty Vehicles based on SR-GRU-CNN Algorithm Subject The topic of the resource Auxiliary Power Unit (APU); Fuel Cell Systems (FCS); Stacked Residual Gated Recurrent Unit Convolutional Neural Networks (S R-GRU-CNN) Description An account of the resource A heavy-duty vehicle's fuel usage, and thus its carbon dioxide emissions, are significantly impacted by the driver's behavior. The average fuel economy of a car varies by about 28% between drivers. Fuel efficiency can be improved by driver education, monitoring, and feedback. Fuel efficiency-based incentives are one form of feedback that can be provided. The largest challenge for transportation companies implementing such incentive programs is how to accurately evaluate drivers' fuel consumption. The processes of preprocessing, feature extraction, and model training are all utilized in the suggested method. Principal component analysis (PCA) is widely utilized in data science's preprocessing stage. GMM is used for feature extraction. Afterwards, SR-GRU-CNN is used to train the models based on the selected features. When compared to the two most popular alternatives, CNN and SR-GRU, the proposed methodexcels. 2023 IEEE. Creator An entity primarily responsible for making the resource Bansod P.J.; Mohan U.; Yadav D.K.; Singh Y.; Sharmila P.; Chauhan A. Source A related resource from which the described resource is derived 2nd International Conference on Automation, Computing and Renewable Systems, ICACRS 2023 - Proceedings, pp. 811-816. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICACRS58579.2023.10404423" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICACRS58579.2023.10404423</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185368577&doi=10.1109%2FICACRS58579.2023.10404423&partnerID=40&md5=a8845af1569cd75084e2a33b8315149d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185368577&doi=10.1109%2fICACRS58579.2023.10404423&partnerID=40&md5=a8845af1569cd75084e2a33b8315149d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835034023-5 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource 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 Bansod P.J., Department of Mechanical Engineering, G H Raisoni College of Engineering &Management, Wagholi, Pune, India; Mohan U., Department of Mechanical Engineering, University of Technology and Applied Sciences, Salalah, Oman; Yadav D.K., Department of Electronics & Communication Engineering, IIMT College of Engineering, Greater Noida, India; Singh Y., India Meteorological Department, Mausam Bhawan, Lodhi Road, New Delhi, India; Sharmila P., Department of Science & Humanities, Prince Shri Venkateshwara Padmavathy Engineering College, Tamil Nadu, Chennai, India; Chauhan A., Department of Life Sciences, School of Sciences, CHRIST (Deemed to be university), Karnataka, Bengaluru, India 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 Conference Papers Conference Paper Faculty Publications- Conference Papers 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 Cluster analysis for european neonatal jaundice Subject The topic of the resource Bat K-means; Clusters; Genetic K-means; K-means; Neonatal jaundice Description An account of the resource The objective of this paper is to propose and analyze clustering techniques for neonatal jaundice which will help in grouping the babies of similar symptoms. A variety of methods have been introduced in the literature for neonatal jaundice classification and feature selection. As far as we know, clustering techniques are not used for neonatal jaundice data set. This paper studies and proposes clustering techniques such as K-Means, Genetic K-Means and Bat K-Means for jaundice disease. To find the number of clusters elbow method is used. The clusters are validated using RMSE, SI and HI. The experimental results carried out in this paper shows bat k-means clustering performs better than K-means and genetic K-means. 2018, Springer International Publishing AG. Creator An entity primarily responsible for making the resource Banu P.K.N.; Own H.S.; Olariu T.; Olariu I. Source A related resource from which the described resource is derived Advances in Intelligent Systems and Computing, Vol-633, pp. 408-419. Publisher An entity responsible for making the resource available Springer Verlag Date A point or period of time associated with an event in the lifecycle of the resource 2018-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-319-62521-8_35" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-319-62521-8_35</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029498457&doi=10.1007%2F978-3-319-62521-8_35&partnerID=40&md5=dc8ad46050e812a361eb55dae6a2d229" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029498457&doi=10.1007%2f978-3-319-62521-8_35&partnerID=40&md5=dc8ad46050e812a361eb55dae6a2d229</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21945357; ISBN: 978-331962520-1 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource 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 Banu P.K.N., Department of Computer Science, Christ University, Bengaluru, India; Own H.S., National Research Institute of Astronomy and Geophysics, Helwan, Egypt; Olariu T., Vasile Goldis Western University of Arad, Arad, Romania; Olariu I., Vasile Goldis Western University of Arad, Arad, Romania 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 Book Chapter Book Chapter Faculty Publications- Book Chapter 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 Diabetic Retinopathy Detection Using Various Machine Learning Algorithms Description An account of the resource The advances in technologies have paved the way to generate huge amounts of data in a variety of forms. Machine learning techniques, accompanied by Artificial Intelligence with its challenging nature help in extracting meaningful information from such data. This will have a great impact on many sectors, such as social media analytics, construction and healthcare, etc. Computer-aided clinical decision-making plays a vital role in todays medical field. Hence, a high degree of accuracy with which machine learning algorithms can detect diabetic retinopathy is really in demand. Convolutional neural networks, a deep learning technique, have been used to recognize pathological lesions from images. Image processing and analytics methods are used and have been trained to recognize the significant complications of diabetes, which cause damage to the retina, diabetic retinopathy (DR). Though this condition does not show any symptoms in its early stages, it has to be screened, diagnosed and treated at the earliest or it may lead to blindness. Deep neural networks have proved successful in screening DR from retinal images and handling the risks that may arise due to the disease. This chapter focuses on detecting diabetic retinopathy in retinal images by using efficient image processing and deep learning techniques. It also attempts to investigate the requirements of image pre-processing techniques for diabetic retinopathy. Experiments are carried out by taking a set of retinal images and predicting the level of diabetic retinopathy on a scale of 0 to 4. Deep learning techniques like CNN and DenseNet are applied and tested. 2024 Taylor & Francis Group, LLC. Creator An entity primarily responsible for making the resource Banu P.K.N.; Sreekumar Y. Source A related resource from which the described resource is derived Machine Intelligence: Computer Vision and Natural Language Processing, pp. 113-128. Publisher An entity responsible for making the resource available CRC Press Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003424550-6" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003424550-6</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173312385&doi=10.1201%2F9781003424550-6&partnerID=40&md5=df06b741144a6853a827e4ed673f9ca9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173312385&doi=10.1201%2f9781003424550-6&partnerID=40&md5=df06b741144a6853a827e4ed673f9ca9</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-100096031-0; 978-103220199-3 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Banu P.K.N., Department of Computer Science, Christ University, Bangalore, India; Sreekumar Y., Department of Computer Science, Christ University, Bangalore, India https://archives.christuniversity.in/files/original/9c0d33b739da18facca474a57636be37.pdf 0ac024ef13157a26598163863ccbc978 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 MPHIL Mphil Mphil Thesis 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 A Study on Attitude and Perception of University Students towards Community Service in the City of Bangalore Creator An entity primarily responsible for making the resource Banu Prakash Date A point or period of time associated with an event in the lifecycle of the resource 2016 Source A related resource from which the described resource is derived Education 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 Faculty Publications 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/. Creator An entity primarily responsible for making the resource Banu, I. Imthiyas; Thiyagarajan, Velumani; Arputharaj, Vijay J.; Thenmozhi, P. Title A name given to the resource Censored Regressive Canonical Optimized Convolutional Deep Belief Classifier For Hate Speech Detection in Online Social Network Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived International Journal of Engineering Trends and Technology;Volume;74;Issue;2;pp.223-234 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.14445/22315381/IJETT-V74I2P116" target="_blank" rel="noreferrer noopener">https://doi.org/10.14445/22315381/IJETT-V74I2P116</a> <a href="https://www.scopus.com/pages/publications/105031864865?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105031864865?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 Banu I.I., Department of Computer Science, Rathinam College of Arts and Science, Coimbatore, India; Thiyagarajan V., Department of Computer Science, Rathinam College of Arts and Science, Coimbatore, India; Arputharaj V.J., Department of Computer Science, Christ University, Bengaluru, India; Thenmozhi P., Department Of Computer Science, Nandha Arts And Science College (Autonomous), Erode, India Description An account of the resource Social networking uses internet-based platforms to facilitate users to make connections with others and share various forms of content, including text, images, videos, and links. Social networking services are mainly used for non-social interpersonal communication. Many approaches have been developed for hate speech detection, but they still face significant challenges, particularly in classifying text into multiple labels accurately and in a timely manner. For accurate hate speech detection in social networks, a Censored Regressive Canonical Optimized Convolutional Deep Belief Classifier (CRCOCDBC) model is developed. The objective of the developed CRCOCDBC is to detect multi-class hate speech with minimal time and error rate. Comparative analysis shows improved performance in terms of minimum error and higher authentication accuracy and precision than other well-known methods. 2026 Seventh Sense Research Group. Subject The topic of the resource Canonical Correlation; Deep Belief Networks and Convolutional Neural Networks; Hate Speech Detection; Krill Herd Algorithm Publisher An entity responsible for making the resource available Seventh Sense Research Group Relation A related resource ISSN: 23490918; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Bronze Open Access Format The file format, physical medium, or dimensions of the resource 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 Faculty Publications Book Chapter Faculty Publications- Book Chapter 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/. Creator An entity primarily responsible for making the resource Banu, P.K. Nizar; Azar, Ahmad Taher; Kamal, Nashwa Ahmad Title A name given to the resource Unveiling the root causes of diabetes using explainable AI 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 Explainable AI in Healthcare Imaging for Medical Diagnoses: Digital Revolution of Artificial Intelligence;pp.365-387 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/B978-0-443-23979-3.00015-4" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/B978-0-443-23979-3.00015-4</a> <a href="https://www.scopus.com/pages/publications/105011242189?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105011242189?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 Banu P.K.N., Department of Computer Science, CHRIST (Deemed to be University) Central Campus, Karnataka, Bangalore, India; Azar A.T., College of Computer and Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia, Automated Systems and Soft Computing Lab (ASSCL), Prince Sultan University, Riyadh, Saudi Arabia, Faculty of Computers and Artificial Intelligence, Benha University, Benha, Egypt; Kamal N.A., Faculty of Engineering, Cairo University, Giza, Egypt Description An account of the resource Diabetes is a non-communicable wide spread disease across the world. To investigate the risky factors that are associated with diabetes, and to start early and customized treatment, researchers are fascinated to explore existing machine learning or deep learning models and to develop more reliable algorithms. The advancement in technology and the increase in world population is an enriching source to prompt and explore the factors that decide a person to be diabetic. Several algorithms and approaches are in place to address these factors but are lacking in emphasizing with more interpretable features which convinces patent to trust the medicine, treatment, and have meaningful conversation with the physicians and artificially intelligent systems. To encourage the participation of people with diabetes for customized treatment and considering societal needs, this chapter explores the possibility of Explainable Artificial Intelligence (XAI) in diabetes detection and figuring out the significant features that dominate diabetes. 2025 Elsevier Inc. All rights reserved. Subject The topic of the resource Classification; Diabetes; Machine learning; Random forest; SHAP; XAI Publisher An entity responsible for making the resource available Elsevier Relation A related resource ISBN: 978-044323979-3; 978-044323978-6; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library 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 Faculty Publications 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/. Creator An entity primarily responsible for making the resource Bapat, Madhura; Krishnan, Uma Title A name given to the resource Unveiling mental health nuances of male Indian classical dancers. Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Psychology of Men and Masculinity;Volume;27;Issue;1;pp.29-40 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1037/men0000538" target="_blank" rel="noreferrer noopener">https://doi.org/10.1037/men0000538</a> <a href="https://www.scopus.com/pages/publications/105031272170?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105031272170?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 Bapat M., Department of Psychological Sciences, Christ University, Central Campus, Bangalore, India; Krishnan U., Department of Psychological Sciences, Christ University, Central Campus, Bangalore, India Description An account of the resource This study explores the lives of male Indian classical dancers, highlighting the duality of dance as a sanctuary and a stressor. As male Indian classical dancers negotiate and redefine norms of masculinity, the study calls for recognition of diverse masculine identities within traditionally feminized spaces. (PsycInfo Database Record (c) 2026 APA, all rights reserved) 2025 American Psychological Association All rights, including for text and data mining, AI training, and similar technologies, are reserved.; This research explores the mental health nuances of male Indian classical dancers (MICDs), through a lens of redefining masculinity, focusing on their perceived quality of life, psychosocial challenges, and coping strategies. This study follows an interpretive phenomenological approach to follow the lived experiences of MICDs. The participants are male, fluent in English, and pursuing Indian classical dance styles professionally, like Kathak, Bharatanatyam, Chhau, etc. Six participants were recruited for personal, semistructured, in-depth interviews, whereas, a focus group discussion with four participants was conducted to explore the stigma. The data were analyzed using interpretive phenomenological analysis, revealing themes of (a) identity fragmentation and negotiation in gendered social contexts, (b) gendered experiences, (c) emotional distress and psychological challenges, (d) coping mechanisms and resilience, and (e) stigmatization and social integration dynamics. MICDs grapple with identity formation, navigating a paradox of self-perception, artistic identity, and societal expectation. They reported experiencing emasculation, compromising artistic expression, and struggling with gender norms and gendered training constraints. They have faced name-calling, bullying, taunting, slandering, and discrimination leading to psychological challenges and distress. However, the paradox continues as male dancers use adaptive coping strategies despite the adversities that intertwine self-perception, societal pressures, and their passion for dance. These findings provide a strong foundation for making changes in the dance community for acceptance of male dancers, policy making for better job opportunities for male dancers, and mental health services to be provided to help them deal with distress. (PsycInfo Database Record (c) 2026 APA, all rights reserved) 2025 American Psychological Association All rights, including for text and data mining, AI training, and similar technologies, are reserved. Subject The topic of the resource Indian classical dance; interpretive phenomenological analysis; male dancers; mental health; stigma Publisher An entity responsible for making the resource available American Psychological Association Relation A related resource ISSN: 15249220; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource 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 Faculty Publications 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/. Creator An entity primarily responsible for making the resource Baraik, Sundeep Kumar; Parihar, Ruchi Singh; Sparrow, Sarah; Salunke, Popat Title A name given to the resource Exploring the nexus of climate change and vector-borne disease transmission 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 iScience;Volume;28;Issue;11;Article No.;113835; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.isci.2025.113835" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.isci.2025.113835</a> <a href="https://www.scopus.com/pages/publications/105020931916?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105020931916?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 Baraik S.K., Centre for Atmospheric Sciences, Indian Institute of Technology Delhi, New Delhi, India; Parihar R.S., IBS Centre for Climate Physics, Busan, South Korea, CHRIST University, Karnataka, Bangalore, India; Sparrow S., University of Oxford, Department of Engineering Science, Parks Road, Oxford, OX1 3PJ, United Kingdom; Salunke P., Center for Sustainability Science and Strategy, Massachusetts Institute of Technology, Cambridge, MA, United States Description An account of the resource Climate change is a critical global challenge that significantly impacts the redistribution of malaria endemicity worldwide. While efforts have been made to model malaria transmission using climatic factors, relying solely on these factors can lead to discrepancies and ineffective decision-making. To address this, we used the VECTRI modela dynamic framework developed by the International Center for Theoretical Physics (ICTP) that integrates both climatic and entomological factorsto map malaria risk for India and project its potential future under the SSP370 warming scenario. Our findings indicate that the length of malaria transmission is expected to increase across India by the end of this century. The shift of malaria endemicity to further north and also into highland areas could increase the at-risk population due to lower immunity in these regions. Therefore, integrated climate and entomological modeling is essential for effectively anticipating malaria transmission risks and enhancing public health responses. 2025 Subject The topic of the resource Environmental health; Environmental science; Global change; Public health Publisher An entity responsible for making the resource available Elsevier Inc. Relation A related resource ISSN: 25890042; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Format The file format, physical medium, or dimensions of the resource 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 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 A stakeholder theory approach to analysing strategies for improving pandemic vaccine supply chain performance Subject The topic of the resource COVID-19; healthcare organisations; hospitals; strategies; vaccine supply chain; vaccine supply chain performance; VSC Description An account of the resource This study aims to formulate strategies that impact the vaccine supply chain (VSC). This study measures the VSC performance using the proposed strategy concerning stakeholders theory. From the literature review and experts consent, the strategies are classified into six broad strategies as-VSC traceability, VSC visibility, VSC velocity, digitalising VSC, localising VSC, and vaccine inventory. A questionnaire is developed for surveying healthcare organisations and hospitals. All six proposed hypotheses got accepted. The developed model satisfies all the model fit parameters. Strategies like VSC traceability, VSC visibility, VSC velocity, digitalising VSC, localising VSC, and vaccine inventory have positively impacted vaccine supply chain performance. This research will be helpful for healthcare professionals and organisations for the faster delivery of the vaccine. This research will also help policymakers in improving the performance of VSC. This study is also the first to use the stakeholder theory approach for measuring VSC performance. Copyright 2024 Inderscience Enterprises Ltd. Creator An entity primarily responsible for making the resource Baral M.M.; Mukherjee S.; Nagariya R.; Chittipaka V. Source A related resource from which the described resource is derived International Journal of Productivity and Quality Management, Vol-43, No. 2, pp. 181-201. Publisher An entity responsible for making the resource available Inderscience Publishers Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1504/IJPQM.2024.141891" target="_blank" rel="noreferrer noopener">https://doi.org/10.1504/IJPQM.2024.141891</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206237132&doi=10.1504%2FIJPQM.2024.141891&partnerID=40&md5=d65e339c0e7469de655f892509c574f6" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206237132&doi=10.1504%2fIJPQM.2024.141891&partnerID=40&md5=d65e339c0e7469de655f892509c574f6</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 17466474 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource 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 Baral M.M., Department of Operations, GITAM School of Business, GITAM (Deemed to be University), Andhra Pradesh, Visakhapatnam, India; Mukherjee S., Department of Operations, GITAM School of Business, GITAM (Deemed to be University), Andhra Pradesh, Visakhapatnam, India; Nagariya R., School of Business and Management, CHRIST (Deemed to be University), Delhi-NCR, Uttar Pradesh, Ghaziabad, India; Chittipaka V., School of Management Studies, Indira Gandhi National Open University, Delhi, India 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 A name given to the resource Implementation of vendor-managed inventory in hospitals: an empirical investigation Subject The topic of the resource critical success components; hospitals; SEM; structural equation modelling; vendor-managed inventory; VMI Description An account of the resource This research aims to determine critical success components for implementing the vendor-managed inventory (VMI) and test their influence on the inventory in Indian hospitals. The independent and dependent components of the research are identified from the extensive literature review. The independent variables are top management commitment, supply chain strategy, business process integration, continuous improvement, resource sharing, and information technologies adoption. The dependent variable identified is the adoption of vendor-managed inventory. The study results suggest that the proposed latent variables significantly impact the VMI and significantly contribute to VMIs implementation and sustainability. The study highlights the importance of VMI in Indian hospitals, and therefore, it will help the management focus on the VMI for enhanced operational efficiency. Previous studies have not empirically tested the impact of the suggested practices for VMI in Indian hospitals. The analysis would help evaluate VMI adoption in Indian hospitals. Copyright 2024 Inderscience Enterprises Ltd. Creator An entity primarily responsible for making the resource Baral M.M.; Mukherjee S.; Nagariya R.; Chittipaka V. Source A related resource from which the described resource is derived International Journal of Procurement Management, Vol-21, No. 2, pp. 180-197. Publisher An entity responsible for making the resource available Inderscience Publishers Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1504/IJPM.2024.141544" target="_blank" rel="noreferrer noopener">https://doi.org/10.1504/IJPM.2024.141544</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205015270&doi=10.1504%2FIJPM.2024.141544&partnerID=40&md5=139c2d54ad2d619a496f50c7de384162" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205015270&doi=10.1504%2fIJPM.2024.141544&partnerID=40&md5=139c2d54ad2d619a496f50c7de384162</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 17538432 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource 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 Baral M.M., Department of Operations, GITAM School of Business, GITAM (Deemed to be University), Andhra Pradesh, Visakhapatnam, India; Mukherjee S., Department of Operations, GITAM School of Business, GITAM (Deemed to be University), Andhra Pradesh, Visakhapatnam, India; Nagariya R., School of Business and Management, CHRIST (Deemed to be University), Delhi-NCR, Uttar Pradesh, Ghaziabad, India; Chittipaka V., School of Management Studies, Indira Gandhi National Open University, Delhi, India 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 A name given to the resource Analysis of factors impacting firm performance of MSMEs: lessons learnt from COVID-19 Subject The topic of the resource COVID-19; Firm performance; MSMEs; Organizational resilience; Supply chain disruptions Description An account of the resource Purpose: The micro, small and medium scale enterprises (MSMEs) faced various challenges in the ongoing COVID-19 pandemic, making it challenging to remain competitive and survive in the market. This research develops a model for MSMEs to cope with the current pandemic's operational and supply chain disruptions and similar circumstances. Design/methodology/approach: The exhaustive literature review helped in identifying the constructs, their items and five hypotheses are developed. The responses were collected from the experts working in MSMEs. Total 311 valid responses were received, and the structural equation modeling (SEM) approach was used for testing and validating the proposed model. Findings: Critical constructs identified for the study are-flexibility (FLE), collaboration (COL), risk management culture (RMC) and digitalization (DIG). The statistical analysis indicated that the four latent variables, flexibility, digitalization, risk management culture and collaboration, contribute significantly to the firm performance of MSMEs. Organizational resilience (ORS) mediates the effects of all the four latent variables on firm performance (FP) of MSMEs. Practical implications: The current study's findings will be fruitful for the manufacturing MSMEs and other firms in developing countries. It will enable them to identify the practices that significantly help in achieving the firm performance. Originality/value: The previous researches have not considered the effect of organizational resilience on the firm performance of MSMEs. This study attempts to fill this gap. 2022, Emerald Publishing Limited. Creator An entity primarily responsible for making the resource Baral M.M.; Mukherjee S.; Nagariya R.; Singh Patel B.; Pathak A.; Chittipaka V. Source A related resource from which the described resource is derived Benchmarking, Vol-30, No. 6, pp. 1942-1965. Publisher An entity responsible for making the resource available Emerald Publishing Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1108/BIJ-11-2021-0660" target="_blank" rel="noreferrer noopener">https://doi.org/10.1108/BIJ-11-2021-0660</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125803202&doi=10.1108%2FBIJ-11-2021-0660&partnerID=40&md5=c5332765244f33b908c60f70b53530f7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125803202&doi=10.1108%2fBIJ-11-2021-0660&partnerID=40&md5=c5332765244f33b908c60f70b53530f7</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 14635771; CODEN: BQMTF Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource 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 Baral M.M., Department of Operations, GITAM Institute of Management, GITAM (Deemed to be University), Visakhapatnam, India; Mukherjee S., Department of Operations, GITAM Institute of Management, GITAM (Deemed to be University), Visakhapatnam, India; Nagariya R., School of Business and Management, CHRIST University, Delhi NCR Campus, Ghaziabad, India; Singh Patel B., Department of Operations Management, Thiagarajar School of Management, Madurai, India; Pathak A., Department of Management, Bule Hora University, Bule Hora, Ethiopia; Chittipaka V., School of Management Studies, Indira Gandhi National Open University, New Delhi, India 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 A name given to the resource Psychometric Properties of the Interpersonal Emotion Regulation Questionnaire Among Couples in India Subject The topic of the resource India; interpersonal emotion regulation; marital relations; non-Western culture Description An account of the resource The aim of the present study was to translate the Interpersonal Emotion Regulation Questionnaire (IERQ) into the Tamil language and examine its psychometric properties in the Indian cultural context. Data were collected from a dyadic sample of 340 married heterosexual couples (N = 680) currently residing in India. The mean age of husbands was 39.57 (SD = 6.10; 26 ? range ? 58), and the wives was 35.33 (SD = 5.72; 23 ? range ? 54). Descriptive results indicated that husbands and wives reported similar levels of interpersonal emotion regulation. Confirmatory factor analysis showed a 20-item model with four factorsenhancing positive affect, perspective-taking, soothing and social modeling, similar to the original version, fits the data well. Furthermore, the multiple-group analysis indicated robust measurement invariance across gender (husbands vs. wives), family type ( joint vs. nuclear) and marriage type (arranged vs. love), indicating that the Tamil version of the IERQ operates similarly across these groups. Besides, the Tamil version of the IERQ showed good convergent and discriminant validity with measures of dyadic coping and relationship satisfaction. Implications for research and couples therapy in the Indian cultural context are discussed. 2022, PsychOpen. All rights reserved. Creator An entity primarily responsible for making the resource Barani Kanth D.; Indumathy J. Source A related resource from which the described resource is derived Interpersona, Vol-16, No. 1, pp. 36-55. Publisher An entity responsible for making the resource available PsychOpen Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.5964/ijpr.6675" target="_blank" rel="noreferrer noopener">https://doi.org/10.5964/ijpr.6675</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133443760&doi=10.5964%2Fijpr.6675&partnerID=40&md5=ae448da49acad182cca88f5a4ff77af4" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133443760&doi=10.5964%2fijpr.6675&partnerID=40&md5=ae448da49acad182cca88f5a4ff77af4</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 19816472 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource 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 Barani Kanth D., Department of Applied Psychology, Pondicherry University, Pondicherry, India; Indumathy J., Department of Applied Psychology, Pondicherry University, Pondicherry, India, Department of Psychology, Christ University, Bangalore, India 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 Book Chapter Book Chapter Faculty Publications- Book Chapter 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 Investor behaviour, market efficiency, and regulatory challenges in digital currency investments: A comprehensive literature review Description An account of the resource The rapid proliferation of digital currencies has ignited significant interest in understanding investor behaviour and the regulatory challenges within this evolving financial landscape. The study seeks to elucidate the factors that influence investor behaviour in the cryptocurrency/digital currency market and explore the regulatory implications associated with digital currency investments. A systematic approach was adopted to identify, review, and analyze relevant scholarly articles from reputable databases. The selected articles span various dimensions of the cryptocurrency/digital currency ecosystem, including investor behaviour, market efficiency, technological innovation, and regulatory measures. It reveals that investor behaviour in the digital currency market is influenced by a complex interplay of emotions, market sentiment, and information asymmetry. Additionally, market efficiency theories are being reconsidered in light of the highly volatile nature of cryptocurrencies. Regulatory challenges encompass issues related to fraud, pump-and-dump schemes, and legal ambiguity. 2024, IGI Global. All rights reserved. Creator An entity primarily responsible for making the resource Baranidharan S. Source A related resource from which the described resource is derived Digital Currency Assets and Challenges to Financial System Stability, pp. 144-177. Publisher An entity responsible for making the resource available IGI Global Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/9798369307700.ch009" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/9798369307700.ch009</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185992575&doi=10.4018%2F9798369307700.ch009&partnerID=40&md5=59796eec370b1b46bb845f4ec288c07c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185992575&doi=10.4018%2f9798369307700.ch009&partnerID=40&md5=59796eec370b1b46bb845f4ec288c07c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-836930771-7; 979-836930770-0 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Baranidharan S., Christ University, Bangalore, India 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 Book Chapter Book Chapter Faculty Publications- Book Chapter 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 Initial coin offerings as a form of alternative financing for start-ups: A systematic literature review and bibliometric analysis Description An account of the resource This chapter aims to provide a comprehensive overview of the field of initial coin offerings ICOs as a form of alternative financing for start-ups. Through a systematic literature review and bibliometric analysis, the study explores the current understanding of ICOs, the potential uses of fractional ownership of digital assets, and the opportunities and challenges associated with this form of fundraising. The study also highlights the importance of study, which provided the first comprehensive explanation of ICOs and their characteristics. The findings of the research suggest that ICOs have the potential to revolutionize the way start-ups raise funds, but they also present significant challenges and risks. The study encourages further research to continue exploring the opportunities and challenges presented by ICOs, as well as the potential impact of regulatory and legal frameworks on the ICO market. Overall, this chapter provides valuable insights into the complex and evolving topic of ICOs and their implications for start-ups, investors, and the broader economy. 2024, IGI Global. All rights reserved. Creator An entity primarily responsible for making the resource Baranidharan S. Source A related resource from which the described resource is derived The Rise of Blockchain Applications in Customer Experience, pp. 130-162. Publisher An entity responsible for making the resource available IGI Global Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/978-1-6684-7649-9.ch007" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/978-1-6684-7649-9.ch007</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179636323&doi=10.4018%2F978-1-6684-7649-9.ch007&partnerID=40&md5=ecf2c3834c37fb08dcacc3ad0f89c589" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179636323&doi=10.4018%2f978-1-6684-7649-9.ch007&partnerID=40&md5=ecf2c3834c37fb08dcacc3ad0f89c589</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166847651-2; 978-166847649-9 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Baranidharan S., School of Business and Management, Christ University, India 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 Book Chapter Book Chapter Faculty Publications- Book Chapter 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 A study of mediating factors influencing student motivation and behaviour: A literature review Description An account of the resource This study aims to examine the mediating factors of learning environment, technology, good behaviour, and effective communication, sports, media, problem-based case study, and psychological influence on student motivation and behaviour. The study employs secondary data based on peer-reviewed articles, conference papers, and books collected from a variety of sources such as Scopus, WoS, J-Store, EBSCO, ProQuest, etc. between 1982 and 2022. The 103 articles have been selected based on the keywords which related to study. The results evidenced that the mediating factors have a significant positive impact on student motivation and behaviour. This study contributes to the existing literature by providing a com- prehensive understanding of the relationship between the mediating factors and student motivation and behaviour. The findings of this study have implications for educational institutions, policy makers, and educators in creating effective learning environments that can enhance student motivation and behaviour. 2023, IGI Global. All rights reserved. Creator An entity primarily responsible for making the resource Baranidharan S. Source A related resource from which the described resource is derived Handbook of Research on Creating Motivational Online Environments for Students, pp. 260-289. Publisher An entity responsible for making the resource available IGI Global Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/978-1-6684-4533-4.ch012" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/978-1-6684-4533-4.ch012</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172758135&doi=10.4018%2F978-1-6684-4533-4.ch012&partnerID=40&md5=3274ba9dd0618f1d896ca0ac9ed1b7ed" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172758135&doi=10.4018%2f978-1-6684-4533-4.ch012&partnerID=40&md5=3274ba9dd0618f1d896ca0ac9ed1b7ed</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166844534-1; 978-166844533-4 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Baranidharan S., CHRIST University (Deemed), India 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 Book Chapter Book Chapter Faculty Publications- Book Chapter 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 Driving sustainable development through climate finance in India: A case study of the National Clean Energy Fund (NCEF) Description An account of the resource This case study examines the national clean energy fund (NCEF) as a climate finance policy in India. The NCEF was established with the objective of promoting renewable energy projects and sustainable development in the country. The study explores the background and context of climate finance, providing an overview of the NCEF's goals and implementation. The case study analyzes the impact of the NCEF by examining its funding allocations and utilization over the years. It highlights the challenges faced in effectively utilizing the funds, such as administrative hurdles, limited capacity, policy uncertainties, project development barriers, financial constraints, and governance issues. Furthermore, the case study discusses the socio-economic impacts of the NCEF, including job creation, clean energy adoption, and environmental benefits. It also explores the lessons learned from the NCEF implementation, identifying areas for improvement and providing recommendations for enhancing climate finance mechanisms in India. This chapter creates a contribution to renewable energy development in India. 2023, IGI Global. All rights reserved. Creator An entity primarily responsible for making the resource Baranidharan S. Source A related resource from which the described resource is derived Financing Regions Toward Sustainability in the Midst of Climate Change Risks and Uncertainty, pp. 194-220. Publisher An entity responsible for making the resource available IGI Global Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/978-1-6684-7620-8.ch010" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/978-1-6684-7620-8.ch010</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85171356097&doi=10.4018%2F978-1-6684-7620-8.ch010&partnerID=40&md5=c010c198ee2520fc30cbcd28a527c665" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85171356097&doi=10.4018%2f978-1-6684-7620-8.ch010&partnerID=40&md5=c010c198ee2520fc30cbcd28a527c665</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166847622-2; 978-166847620-8 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Baranidharan S., CHRIST University (Deemed), India 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 Book Chapter Book Chapter Faculty Publications- Book Chapter 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 Accounting fraud and bankruptcy: The case of wirecard AG Description An account of the resource This chapter examines the scandal at Wirecard AG, a German payment processing and financial services company, that became one of the most valuable companies on the German stock exchange in the 2010s. From 2010 to 2018, Wirecard reported consistent revenue growth and profitability. In 2019, the company reported revenues of 2.8 billion ($3.2 billion). As of September 2018, its market capitalization was over 24 billion ($27 billion). In late 2019, the Wirecard scandal was discovered through investigative reports by the Financial Times, which raised questions about Wirecard's accounting practices. The company faced a major scandal in 2020 when it was revealed that 1.9 billion ($2.1 billion) was missing from its balance sheet. Subsequent investigations revealed a massive accounting fraud that had been going on for years. Subsequently, the company filed for bankruptcy. Multiple Wirecard executives, including its CEO, were charged with fraud and market manipulation. German regulators and auditors were criticized for failing to detect and prevent the fraud. 2023, IGI Global. Creator An entity primarily responsible for making the resource Baranidharan S.; Ajekwe C.C.M.; Nakitende M.G. Source A related resource from which the described resource is derived Theory and Practice of Illegitimate Finance, pp. 222-244. Publisher An entity responsible for making the resource available IGI Global Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3693-1190-5.ch012" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-1190-5.ch012</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174265170&doi=10.4018%2F979-8-3693-1190-5.ch012&partnerID=40&md5=412e0f8df1f1d56305ff71f320ff9ece" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174265170&doi=10.4018%2f979-8-3693-1190-5.ch012&partnerID=40&md5=412e0f8df1f1d56305ff71f320ff9ece</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-836931191-2; 979-836931190-5 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Baranidharan S., CHRIST University (Deemed), India; Ajekwe C.C.M., Benue State University, Nigeria; Nakitende M.G., Uganda Martyrs University, Uganda 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 Book Chapter Book Chapter Faculty Publications- Book Chapter 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 Exploring the influence of emotional intelligence on decision-making across diverse domains: A systematic literature review Description An account of the resource Emotional intelligence (EI) is increasingly recognized as a crucial factor in decisionmaking across various professional domains. This systematic literature review, covering the period from 2017 to 2023, explores the intricate relationship between EI and decision-making in healthcare, business, education, ethics, and the realms of neuroscience and artificial intelligence (AI). Employing a qualitative research design, the study systematically analyzes articles retrieved from renowned databases including Scopus, ProQuest, EBSCO, J Gate, and Google Scholar. The findings reveal that elevated EI levels among healthcare professionals lead to improved clinical decision-making, characterized by enhanced patient-centered care and ethical considerations. In business and legal contexts, EI competencies are associated with ethical decision-making, effective leadership, and strong client relationships. In education, emotionally intelligent educators create supportive learning environments conducive to better pedagogical decisions and student emotional well-being. 2024, IGI Global. All rights reserved. Creator An entity primarily responsible for making the resource Baranidharan S.; Dhakshayini K.N. Source A related resource from which the described resource is derived Neuroleadership Development and Effective Communication in Modern Business, pp. 70-91. Publisher An entity responsible for making the resource available IGI Global Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3693-4350-0.ch004" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-4350-0.ch004</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193678729&doi=10.4018%2F979-8-3693-4350-0.ch004&partnerID=40&md5=7040af0b4d555daaa7df292c486688ca" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193678729&doi=10.4018%2f979-8-3693-4350-0.ch004&partnerID=40&md5=7040af0b4d555daaa7df292c486688ca</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-836934351-7; 979-836934350-0 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Baranidharan S., Christ University, India; Dhakshayini K.N., Christ University, India