391 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 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 Design of a Decision Making Model for Integrating Dark Data from Hybrid Sectors Subject The topic of the resource Dark data; Electronic Health Record; Entity based Recognition; Natural Language Processing Description An account of the resource The research on Dark data, from its definition to identification and utilization is a widely identified and encountered research problem since 2012 when Gartner defined Dark data as every possible information that an organization collects, process, analyze and store throughout regular business activities, but usually fails to make use of the stored information for other suitable purposes. The presence of dark data and its impact has been experienced by every sector, these data occupy large storage and remain unused. In this paper, we analyze Dark Data and proposed a design model to utilize dark data from multiple sectors and providing a solution to any critical situation a person might be in. For eg: Multiple cash transactions from an organizational bank account in a hospital successively over a period of 2-3 days may indicate a health emergency of any particular employee from that organization. Thus we are considering institutional data, medical data, and banking data in which machine learning algorithms can contribute huge changes in the current system and can help the decision-makers to make better decisions. The paper also proposes a few techniques and methods for the conversion of unstructured dark data to structured one and some extraction techniques for data using NLP and Machine Learning. Grenze Scientific Society, 2022. Creator An entity primarily responsible for making the resource Maju S.V.; Prakasi O.S.G. Source A related resource from which the described resource is derived 13th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2022, Vol-8, pp. 705-712. Publisher An entity responsible for making the resource available Grenze Scientific Society 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="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143319396&partnerID=40&md5=d4b71814282f1aadf4dc913cecd0655e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143319396&partnerID=40&md5=d4b71814282f1aadf4dc913cecd0655e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-171385793-8 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 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 Maju S.V., Computer Science and Engineering Department, Christ (Deemed to be University), Bangalore, India; Prakasi O.S.G., Computer Science and Engineering Department, Christ (Deemed to be 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 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 novel two-tier feature selection model for Alzheimers disease prediction Subject The topic of the resource Hybrid regression models; Machine learning algorithms; neural network; Regression model; Statistical validation Description An account of the resource The interdisciplinary research studies of artificial intelligence in health sector is bringing drastic life saving changes in the healthcare domain. One such aspect is the early disease prediction using machine learning and regression algorithms. The purpose of this research is to improve the prediction accuracy of Alzheimers disease by analysing the correlation of unexplored Alzheimer causing diseases. The work proposes Chi square-lasso ridge linear (Chi-LRL) model, a new two-tier feature ranking model which recognizes the significance of including diabetes, blood pressure and body mass index as potential Alzhiemer predictive parameters. The newly added predictive parameters of Alzheimers disease were statistically verified along with the conventional prediction parameters using chi-square method (Chi) as Tier 1 and an embedded model of lasso, ridge and linear (LRL) Regression for feature ranking as Tier 2. The performance of the proposed Chi-LRL model with selected features were then analysed using machine learning algorithms for performance analysis. The result shows a noticeable performance by selecting eleven significant features and a 4.5% increase in the prediction accuracy of Alzheirmer disease. 2024 Institute of Advanced Engineering and Science. All rights reserved. Creator An entity primarily responsible for making the resource Maju S.V.; Pushpam G.P.O.S. Source A related resource from which the described resource is derived Indonesian Journal of Electrical Engineering and Computer Science, Vol-33, No. 1, pp. 227-235. Publisher An entity responsible for making the resource available Institute of Advanced Engineering and Science 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/10.11591/ijeecs.v33.i1.pp227-235" target="_blank" rel="noreferrer noopener">https://doi.org/10.11591/ijeecs.v33.i1.pp227-235</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184578040&doi=10.11591%2Fijeecs.v33.i1.pp227-235&partnerID=40&md5=797901cdc6f140b45bb127bedca8a579" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184578040&doi=10.11591%2fijeecs.v33.i1.pp227-235&partnerID=40&md5=797901cdc6f140b45bb127bedca8a579</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 25024752 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 Maju S.V., Department of Computer Science and Engineering, Christ (Deemed to be University), Bangalore, India; Pushpam G.P.O.S., Department of Computer Science and Engineering, Christ (Deemed to be 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 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 Maju, Sonam V.; Prakasi, Gnana; Pushpam, Oliver Sirya Title A name given to the resource A novel AI model for the extraction and prediction of Alzheimer disease from electronic health record 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 Indonesian Journal of Electrical Engineering and Computer Science;Volume;37;Issue;2;pp.1023-1031 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.11591/ijeecs.v37.i2.pp1023-1031" target="_blank" rel="noreferrer noopener">https://doi.org/10.11591/ijeecs.v37.i2.pp1023-1031</a> <a href="https://www.scopus.com/pages/publications/85210744676?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85210744676?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 Maju S.V., Department of Computer Science and Engineering, CHRIST University, Bengaluru, India; Prakasi G., Department of Computer Science and Engineering, CHRIST University, Bengaluru, India; Pushpam O.S., Department of Computer Science and Engineering, CHRIST University, Bengaluru, India Description An account of the resource Dark data is an emerging concept, with its existence, identification, and utilization being key areas of research. This study examines various aspects and impacts of dark data in the healthcare domain and designs a model to extract essential clinical parameters for Alzheimer's from electronic health records (EHR). The novelty of dark data lies in its significant impact across sectors. In healthcare, even the smallest data points are crucial for diagnosis, prediction, and treatment. Thus, identifying and extracting dark data from medical data corpora enhances decision-making. In this research, a natural language processing (NLP) model is employed to extract clinical information related to Alzheimer's disease, and a machine learning algorithm is used for prediction. Named entity recognition (NER) with SpaCy is utilized to extract clinical departments from doctors' descriptions stored in EHRs. This NER model is trained on custom data containing processed EHR text and associated entity annotations. The extracted clinical departments can then be used for future Alzheimer's diagnosis via support vector machine (SVM) algorithms. Results show improved accuracy with the use of extracted dark data, highlighting its importance in predicting Alzheimer's disease. This research also explores the presence of dark data in various domains and proposes a dark data extraction model for the clinical domain using NLP. 2025 Institute of Advanced Engineering and Science. All rights reserved. Subject The topic of the resource Big data; Dark data; Electronic health record; Machine learning; Natural language processing Publisher An entity responsible for making the resource available Institute of Advanced Engineering and Science Relation A related resource ISSN: 25024752; 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 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 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/. Creator An entity primarily responsible for making the resource Maju, Sonam V.; Prakasi, O. S. Gnana Title A name given to the resource A Dimensionality Reduction Model: A Retrospective Approach on Dementia Triggering Parameters and Feature Ranking 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 Communications in Computer and Information Science;Volume;1951 CCIS;pp.122-134 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-031-31723-1_10" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-31723-1_10</a> <a href="https://www.scopus.com/pages/publications/105000829150?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105000829150?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 Maju S.V., Christ (Deemed to Be University), Computer Science and Engineering, Kengeri Campus, Mysore Road, Kumbalgodu, kanmanike, Karnataka, Bangalore, 560074, India; Prakasi O.S.G., Christ (Deemed to Be University), Computer Science and Engineering, Kengeri Campus, Mysore Road, Kumbalgodu, kanmanike, Karnataka, Bangalore, 560074, India Description An account of the resource The medical sector has advanced in an imposing way, and are coming up with lifesaving models and wearable devices for disease predictions and patient monitoring. The prediction models and wearable devices will lead to immense amount of data collection leading to the dimensionality issues, overfitting and inaccurate results. From the pool of data that we use for our prediction model, we should be able to identify the required information and parameters which gives a positive contribution to the decision making model. Every dataset with higher number of parameters and high dimensionality will tend to the problems of overfitting. Here, we have a dataset of demented and non-demented patients with five conventional features and other physical parameters. Along with these parameters, we are adding three new prediction parameters like glyhb, BMI and Cholesterol, for proving the association of Diabetics and Dementia. After the addition of these parameters, the dataset will have thirty parameters, and dimensionality reduction is done to avoid the condition of overfitting. The work uses Principal Component Analysis(PCA)for reducing the dimensionality, t-SNE for visualization and K means clustering is used to cluster the target variable. The cluster mean of each variable is used to understand the performance of each variable in each cluster. Later, a basic feature ranking method is also implemented which can be further used for the prediction model. The performance metric used in this research work is Silhouette score, Inertia and Inter-Cluster Distance map. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. Subject The topic of the resource Clustering; K-means; Principal Component Analysis; Silhouette score; T-Distributed Stochastic Neighbor Embedding(t-SNE) Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 18650929; ISBN: 978-303131722-4; Language A language of the resource English Type The nature or genre of the resource Conference paper 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 Maju, Sonam Vayaliparambil; Siryapushpam, Gnana Prakasi Oliver Title A name given to the resource ApDeC: A rule generator for Alzheimer's disease prediction 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 IAES International Journal of Artificial Intelligence;Volume;14;Issue;3;pp.1772-1780 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.11591/ijai.v14.i3.pp1772-1780" target="_blank" rel="noreferrer noopener">https://doi.org/10.11591/ijai.v14.i3.pp1772-1780</a> <a href="https://www.scopus.com/pages/publications/105008092478?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105008092478?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 Maju S.V., Department of Computer Science and Engineering, Christ University, Bangalore, India, School of Computer Science and Engineering, RV University, Bangalore, India; Siryapushpam G.P.O., Department of Computer Science and Engineering, Christ University, Bangalore, India Description An account of the resource Artificial intelligence (AI) paved the way and helping hand for the medical practitioners in various aspects and early disease prediction is one among many. Interdisciplinary research studies on the early prediction of diseases are often analyzed based on the accuracy of the prediction model. But how early these diseases can be predicted will not be answered in many of the research studies unless they have a time series data. This work proposes a machine learning model, ApDeC which solves the above-mentioned problem by generating association rules for the early disease prediction of Alzheimer patients. The ApDeC model calculates the probability of occurrence of eleven Alzheimer disease prediction risk factors and identifies the combination of diseases that can lead to Alzheimer disease. The association rules will be generated by considering the observed combination of risk factors. The research introduces an innovative approach that helps in the early prediction of Alzheimer disease from the risk factors/symptoms. The results show the strong correlation of diabetes and blood pressure with Alzheimer disease. 2025, Institute of Advanced Engineering and Science. All rights reserved. Subject The topic of the resource Alzheimers disease; Apriori algorithm; Artificial intelligence; Association rules; Machine learning Publisher An entity responsible for making the resource available Institute of Advanced Engineering and Science Relation A related resource ISSN: 20894872; 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 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 Identifying Social-Cognitive Factors Influencing Aggression in Adolescents: A Cross-Sectional Indian Study Subject The topic of the resource cognitive control effortful control; Emotion socialisation; normative beliefs about aggression; parent socialisation; peer socialisation Description An account of the resource Adolescence is a critical period during which the likelihood of experiencing self-regulation failures like aggressive outbursts is increased. Recent Indian studies on adolescents have reported an increasing incidence of aggressive acts during this time of transition, which is a threat to the adolescent, the victim and society in general. This study focuses on the social-cognitive perspective, implying that aggression is a social behaviour that is largely affected by ones beliefs about the acceptability of aggression and the degree of cognitive and effortful control they have over their emotions. Such beliefs are likely to be influenced by emotion socialisation, wherein parents and peers act as key agents. With this perspective, the current study, through a mediational model, explains the social-cognitive factors predicting aggressive behaviour in adolescents. This is a cross-sectional, descriptive study carried out on a sample of 475 adolescent students from the Delhi-NCR region recruited through purposive sampling. The data were collected through self-report questionnaires from schools and colleges. The model was tested using SPSS AMOS and was found to be a good fit for the data. The findings of this study are crucial from a risk and intervention perspective. It emphasises the need to build socially and emotionally competent students who not only have the skills needed to succeed but also nurture healthy social relationships and maintain positive mental health through adaptive emotion regulation skills. 2024 Department of Psychology, University of Allahabad. Creator An entity primarily responsible for making the resource Majumdar I.G.; Srivastava M. Source A related resource from which the described resource is derived Psychology and Developing Societies, Vol-36, No. 2, pp. 215-240. Publisher An entity responsible for making the resource available Sage Publications India Pvt. Ltd 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/10.1177/09713336241286927" target="_blank" rel="noreferrer noopener">https://doi.org/10.1177/09713336241286927</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207800128&doi=10.1177%2F09713336241286927&partnerID=40&md5=f43c86b80d7da544b3d094f9f0917791" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207800128&doi=10.1177%2f09713336241286927&partnerID=40&md5=f43c86b80d7da544b3d094f9f0917791</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9713336 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 Majumdar I.G., Department of Psychology, Christ University, Uttar Pradesh, Ghaziabad, India; Srivastava M., Department of Psychology, University of Lucknow, Uttar Pradesh, Lucknow, 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 PHD PhD PhD 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/. Relation A related resource 61000083 Title A name given to the resource Migration to bangalore : A study of return migration of IT professionals Subject The topic of the resource Sociology Description An account of the resource Bengaluru, Karnataka, is widely known as India s Silicon Valley and an important centre for Information Technology (IT). It is also one of the fastest growing cities in India. Migration to the city has contributed to its growth and this study has focussed on the phenomenon of return migration with specific reference to the return migration of IT professionals to Bengaluru. The main newlineobjectives of the study were to explore some of the factors underlying return migration in general and return migration to Bengaluru in particular, to examine the reasons underlying the decision to migrate, to examine the process of return migration, to describe transnationalism in the context of this return migration and to observe the experience of being back home This study used mixed methods and adopted concurrent triangulation to analyse and interpret the data in the study of the research problem. The framework adopted by Lee was also used to understand the factors that influence the decision to migrate within a broader theoretical framework to study return migration. The researcher explored the factors that influenced the decision to return which were an outcome of the push factors operating from the place of origin and the pull factors operating in the place of destination, India and Bengaluru in this case, both sets of which relate to the socio-cultural, economic and political realms. The newlineresearcher examined the factors that operated as push factors in the host country as well as those that operated as pull factors upon professionals working in the IT sector in the context of return migration to Bengaluru.According to the study, the pull factors being exercised from the city of newlineBengaluru were more relevant in terms of the forces underlying the decision to move. Bengaluru s reputation as a technopole or a high tech cluster has contributed largely to the way in which the migrants have been drawn to the city. Creator An entity primarily responsible for making the resource Majumdar Kar, Suparna. Source A related resource from which the described resource is derived Author's Submission Publisher An entity responsible for making the resource available Christ(Deemed to be University) Date A point or period of time associated with an event in the lifecycle of the resource 2018-01-01 Contributor An entity responsible for making contributions to the resource Dasgupta, Pritha Rights Information about rights held in and over the resource Open Access Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource PhD Identifier An unambiguous reference to the resource within a given context <a href="http://hdl.handle.net/10603/316328" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/316328</a> 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 Majumdar, Abhijit; Srivastava, Shefali Title A name given to the resource Building Resilience Through Flexibility to Mitigate Pandemic Disruption: A SAPLAP Analysis of Textile and Clothing 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 Global Journal of Flexible Systems Management;Volume;26;Issue;Suppl 1;pp.147-170 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s40171-024-00435-7" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s40171-024-00435-7</a> <a href="https://www.scopus.com/pages/publications/105001088870?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105001088870?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 Majumdar A., Department of Textile and Fibre Engineering, Indian Institute of Technology Delhi, New Delhi, 110016, India; Srivastava S., Christ University, Hosur Road, Bangalore, 560029, India Description An account of the resource Global organisations are increasingly emphasising efficiency in their supply chain activities. However, amidst the post-COVID-19 pandemic landscape, supply chain resilience is becoming imperative for mitigating disruptions, and ensuring uninterrupted production and delivery of goods and services. This is more true for textile and clothing supply chains which have their activities present across the globe and therefore susceptible to pandemic disruptions. This research attempts to advance the discourse on supply chain resilience by highlighting the ambidextrous role of flexibility and how it strengthens robustness as well as agility. The study employs the SAP-LAP framework (situation, actor, process; learning, action, performance) and views it through the lenses of Contingency Theory and Dynamic Capability Theory to formulate reactive and proactive strategies for supply chain resilience. The research reveals key elements of situation, actors, processes, learning, and actions for enhancing resilience performance in the textile and clothing supply chains. The results underscore the enormous significance of flexibility as a precursor for creating flexible procurement, agility, operational manoeuvrability, product diversification, and risk management culture in the supply chain. By intertwining flexibility with resilience and underpinning it with organisational theories, this study contributes to the broader discourse on supply chain disruption risk management. The Author(s) under exclusive licence to Global Institute of Flexible Systems Management 2025. Subject The topic of the resource Dynamic capability; Flexibility; Resilience; Risk mitigation; SAP-LAP; Textile supply chain Publisher An entity responsible for making the resource available Springer Relation A related resource ISSN: 9722696; 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 https://archives.christuniversity.in/files/original/07a8ecf4b89d6a6892cc91d7004036f7.jpg 6c30834d8d3de05c6508cac0b80176dd 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 Migration in India: Questions of social exclusion / Subject The topic of the resource Sociology - Migration in India Description An account of the resource International Research Journal Of Social Sciences, Vol.4, Issue 4, pp.87-91, ISSN No: 2319-3565. Creator An entity primarily responsible for making the resource Majumdar, Kar Suparna., Pritha, Dasgupta. Source A related resource from which the described resource is derived <a href="http://www.isca.me/IJSS/Archive/v4/i4/12.ISCA-IRJSS-2015-018.php" target="_blank" title="Migration in India: Questions of social exclusion" rel="noreferrer noopener">http://www.isca.me/IJSS/Archive/v4/i4/12.ISCA-IRJSS-2015-018.php</a> Publisher An entity responsible for making the resource available International Science Congress Association Date A point or period of time associated with an event in the lifecycle of the resource 2015-02-10 Language A language of the resource English Type The nature or genre of the resource Journal Article https://archives.christuniversity.in/files/original/67eed1de439d2c02c181b697f7d583d4.pdf 32ece15f55f24b5d05b7daa7e3a43cbf 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 MASTERS Masters' Dissertation Masters Dissertation 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 Changing representation of women in recent bollywood cinema / Subject The topic of the resource Media Studies Description An account of the resource For almost a century, popular Hindi films rarely dealt with women issues and if it all it attempted to do so, the role of a women was restricted to be either that of nurturer or the epitome of sacrifice and forgiveness. Films like Mother India or Bandini glorified woman’s ability to give up her choices and even life for the sake of her family and dear ones. But post LPG (Liberalization, Privatization and Globalization) this scenario has gradually changed. Today, we come across films where a woman not only expresses her choice but she is also unapologetic about herself. Cinema very interesting deals with gender representation in a consensually problematic manner where the provider of the image as well as the receiver of the medium believes that the space is designed to give women her place only in a particular way. Creator An entity primarily responsible for making the resource Majumdar, Meghna. - 1537145 Source A related resource from which the described resource is derived Master of Arts in Media and Communication Studies Publisher An entity responsible for making the resource available CHRIST (Deemed To Be University) Date A point or period of time associated with an event in the lifecycle of the resource 2017-02-03 Contributor An entity responsible for making contributions to the resource Department of Media Studies Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Masters Dissertation 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 Chloroform fraction of Chaetomorpha brachygona, a marine green alga from Indian Sundarbans inducing autophagy in cervical cancer cells in vitro Description An account of the resource Sundarbans Mangrove Ecosystem (SME) is a rich repository of bioactive natural compounds, with immense nutraceutical and therapeutic potential. Till date, the algal population of SME was not explored fully for their anticancer activities. Our aim is to explore the potential of these algal phytochemicals against the proliferation of cervical cancer cells (in vitro) and identify the mode of cell death induced in them. In the present work, the chloroform fraction of marine green alga, Chaetomorpha brachygona was used on SiHa cell line. The algal phytochemicals were identified by GCMS, LCMS and column chromatography and some of the identified compounds, known for significant anticancer activities, have shown strong Bcl-2 binding capacity, as analyzed through molecular docking study. The extract showed cytostatic and cytotoxic activity on SiHa cells. Absence of fragmented DNA, and presence of increased number of acidic vacuoles in the treated cells indicate nonapoptotic cell death. The mode of cell death was likely to be autophagic, as indicated by the enhanced expression of Beclin 1 and LC3BII (considered as autophagic markers) observed by Western blotting. The study indicates that, C. brachygona can successfully inhibit the proliferation of cervical cancer cells in vitro. 2020, The Author(s). Creator An entity primarily responsible for making the resource Majumder I.; Paul S.; Nag A.; Kundu R. Source A related resource from which the described resource is derived Scientific Reports, Vol-10, No. 1 Publisher An entity responsible for making the resource available Nature Research Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1038/s41598-020-78592-9" target="_blank" rel="noreferrer noopener">https://doi.org/10.1038/s41598-020-78592-9</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097487911&doi=10.1038%2Fs41598-020-78592-9&partnerID=40&md5=604924a7c2565596facb21292811ef05" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097487911&doi=10.1038%2fs41598-020-78592-9&partnerID=40&md5=604924a7c2565596facb21292811ef05</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 20452322; PubMed ID: 33311531 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 Majumder I., Department of Botany, University of Calcutta, 35, Ballygunge Circular Road, Kolkata, 700019, India; Paul S., School of Biotechnology, Presidency University, Canal Bank Rd, DG Block, Action Area 1D, New Town, 700156, West Bengal, India; Nag A., Department of Life Sciences, CHRIST (Deemed To Be University), Bangalore, 560029, India; Kundu R., Department of Botany, University of Calcutta, 35, Ballygunge Circular Road, Kolkata, 700019, 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 Reliability analysis of cement manufacturing technique in computerized clinker processing method Subject The topic of the resource Cement Production; Failures In Clinker Manufacturing; Mean Sojourn Times; MTSF; Transition Probabilities Description An account of the resource Cement production will face severe resource constraints in the future, as they rely on natural resources. Therefore, the industry focuses on raising natural resource requirements at both the development and operational levels. One of the situations left unattended in cement production is modelling reliability on a clinker production device with a defect in its three main components. Bridging this gap, this paper provides a reliability model on the manufacturing method of clinkers. The manufacturing of clinkers is the first step in the cement production process. The clinker manufacturing process comprises three main components: crusher, roller mill, and rotary kiln. Three reliability models are developed in this paper, with failures in its three important components considering three situations. All three components are operative, the first two components are operative, and only the first component is operative. In this paper, the transition probabilities and mean sojourn times and also MTSF are measured. 2023 Author(s). Creator An entity primarily responsible for making the resource Makendran C; Patnaik B.; Hussaini N.; Bikila J.C.; Pathak R.; Phasinam K. Source A related resource from which the described resource is derived AIP Conference Proceedings, Vol-2591 Publisher An entity responsible for making the resource available American Institute of Physics 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/10.1063/5.0119612" target="_blank" rel="noreferrer noopener">https://doi.org/10.1063/5.0119612</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152560684&doi=10.1063%2F5.0119612&partnerID=40&md5=8d5e0f3bcf7d514d0cbf8cb1847b9b90" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152560684&doi=10.1063%2f5.0119612&partnerID=40&md5=8d5e0f3bcf7d514d0cbf8cb1847b9b90</a> Rights Information about rights held in and over the resource All Open Access; Bronze Open Access Relation A related resource ISSN: 0094243X; ISBN: 978-073544324-2 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 Makendran C, Road and Transportation Engineering, Department of Civil Engineering, College of Engineering and Technology, Wollega University, Oromia, Ethiopia; Patnaik B., Department of Civil Engineering, Gambella University, Gambela, Ethiopia; Hussaini N., Department of Professional Studies, Christ (Deemed to Be) University, Bengaluru, India; Bikila J.C., Department of COTM, Hachalu Hundessa Campus, Ambo University, Ambo, Ethiopia; Pathak R., Department of Mechanical Engineering, Medi-Caps University, Indore, India; Phasinam K., School of Agricultural and Food Engineering, Pibulsongkram Rajabhat University, Phitsanulok, Thailand 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 Artificial intelligence its growing role in human resource management Description An account of the resource In this competitive era, the impact of artificial intelligence in human resource management is increasing quickly. Collecting the relevant data and then analyzing it accurately can accelerate the efficient working process of the organization. Artificial intelligence has paved its way in the working of various departments like IT, finance, marketing, and HRM. In this research, the researcher focused on the emerging role of artificial intelligence in HR department and how it is acting as a stimulator in enhancing the efficiency and accuracy of various HR functions like recruitment, hiring, work- life balance, performance appraisal, etc. The chapter is based on descriptive research, in which the researcher has collected secondary data from various research papers, articles, blogs, and websites. The chapter focuses on the growing role of artificial intelligence in the human resource function of the organization. 2024, IGI Global. All rights reserved. Creator An entity primarily responsible for making the resource Makhija M.; Jha P.; Dubey N. Source A related resource from which the described resource is derived Employee Performance Management for Improved Workplace Motivation, pp. 231-261. 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/10.4018/979-8-3693-4387-6.ch010" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-4387-6.ch010</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216776593&doi=10.4018%2F979-8-3693-4387-6.ch010&partnerID=40&md5=dee03c528d80f8796e69270c887fd157" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216776593&doi=10.4018%2f979-8-3693-4387-6.ch010&partnerID=40&md5=dee03c528d80f8796e69270c887fd157</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-836934388-3; 979-836934387-6 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 Makhija M.; Jha P., Christ University, India; Dubey N., Galgotias 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 Transforming Financial Sector Through Financial Literacy and Fintech Revolution Subject The topic of the resource Attitude; Fin-Tech; Financial literacy; Financial well-being; Subjective financial knowledge; Youth Description An account of the resource The current research focuses on the financial literacy among the women, youth and impact of fin-tech on the socioeconomic well-being of the economy. The researcher has incorporated extensive data mining on financial well-being and assesses the financial literacy along with attitude and behavior for financial knowledge mainly focusing on youth and usage of AI in financial services. It has been observed during research that the benefits of the technology are limited only to the urban areas, but the rural places are not much benefited and therefore more focus is needed for the financial technology to get amalgamated with rural lifestyle for convenience and transparency of financial transactions. This research paper contributes to the awareness of financial literacy and importance of financial reliance for the youth of today through knowledge sharing. The research also highlights the importance of government involvement in financial literacy and creating awareness at a global level for well-being of youth and women. Financial literacy can also improve the rate of entrepreneurs growth and financial decisions. Financial knowledge and fin-tech services can help in better financial decisions and saving culture for self-reliant youth. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021. Creator An entity primarily responsible for making the resource Makhija P.; Chacko E.; Sinha M. Source A related resource from which the described resource is derived Financial Inclusion in Emerging Markets: A Road Map for Sustainable Growth, pp. 239-255. Publisher An entity responsible for making the resource available Springer Nature Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-16-2652-4_12" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-2652-4_12</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152263357&doi=10.1007%2F978-981-16-2652-4_12&partnerID=40&md5=ef96078b12b9d7e19dab5b5aca89ace7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152263357&doi=10.1007%2f978-981-16-2652-4_12&partnerID=40&md5=ef96078b12b9d7e19dab5b5aca89ace7</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-981162652-4; 978-981162651-7 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 Makhija P., Center for Management Studies, Jain University, Bangalore, India; Chacko E., Center for Management Studies, Jain University, Bangalore, India; Sinha M., Christ (Deemed to be 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 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 Makhija, Priya; Archana; Babu, S. B. G. Tilak; Sharma, Abhishek; Sharma, Ankitha; Patil, Anand Title A name given to the resource Financial Insights Unleashed: Computational Intelligence in Practice 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 Computational Intelligence Solutions for Real-Life Problems;pp.167-184 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781998511013-10" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781998511013-10</a> <a href="https://www.scopus.com/pages/publications/105024034238?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105024034238?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 Makhija P., Faculty of Management, Center for Management Studies, Karnataka, Bangalore, India; Archana, Uttar Pradesh, Lucknow, India; Babu S.B.G.T., Department of Electronics and Communication Engineering (ECE), Aditya Engineering College, Andhra Pradesh, Surampalem, India; Sharma A., Mittal School of Business, Lovely Professional University, Punjab, Jalandhar, India; Sharma A., Mittal School of Business, Lovely Professional University, Punjab, Jalandhar, India; Patil A., School of Business and Management, Christ University, Karnataka, Bangalore, India Description An account of the resource This study explores how artificial intelligence (AI) is changing the banking sector and identifies important uses and consequences. Fintech is evolving, from AI-powered credit risk evaluations to the real-time effects of news and social media on markets. Customary financial procedures are being transformed by the incorporation of blockchain technology, smart contracts, and collaborative models that combine human and AI. It is important to balance risk and return while implementing computational intelligence (CI), and there are several obstacles associated with this technical advance, such as ethical issues and data privacy solutions. This 168changing financial story emphasizes the importance of finding a careful balance between innovation and responsibility. Financial decision-making will hopefully become data-driven, customer-focused, and morally based in the future thanks to the cooperative synergy between humans and AI. The development of a robust and thoughtful financial landscape depends critically on ongoing monitoring, adaptability, and dedication to ethical AI practices. 2026 by Apple Academic Press, Inc. Subject The topic of the resource algorithmic trading; artificial intelligence; blockchain integration; computational intelligence; credit scoring; data privacy; financial decision-making; machine learning; predictive analytics; quantum computing; smart contracts Publisher An entity responsible for making the resource available Apple Academic Press Relation A related resource ISBN: 978-104080568-8; 978-199851100-6; 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 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 Makhija, Priya; Chacko, Elizabeth; Tiwaria, Richa; Ananda, S.; Kumar, R. Thanga Title A name given to the resource Enhancing Employee Onboarding Through Digital Twin Technology 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 HR 5.0 Integration: Unleashing the Potential of the Digital Twin Revolution;pp.93-107 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1108/978-1-83708-112-720261006" target="_blank" rel="noreferrer noopener">https://doi.org/10.1108/978-1-83708-112-720261006</a> <a href="https://www.scopus.com/pages/publications/105029526706?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105029526706?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 Makhija P., JAIN (Deemed-to-Be University), Center for Management Studies, India; Chacko E., Christ University, India; Tiwaria R., JAIN (Deemed-to-Be University), Center for Management Studies, India; Ananda S., Research & Innovation Department, College of Banking and Financial Studies, Oman; Kumar R.T., JAIN (Deemed-to-Be University), Center for Management Studies, India Description An account of the resource Digital twins and their transformative technology have simplified corporate processes while establishing secure and data-driven environments for customized expertise enhancement, workflow optimization, and scenario building. This chapter assesses the impact of digital twins on job design and human resource (HR) practices in developing new and more productive human-focused workplaces. Traditional or old-fashioned onboarding practices are not customizable or flexible and do not give real-time feedback, which creates negative workplace experiences and higher turnover levels. Digital transformation (DT) techniques suggest using digital twins for interactive, customized onboarding solutions to engage and retain employees better. Research indicates that digital twins have effects fundamentally altering HR practices by providing adaptive approaches in real time, cost-free scenario testing, and prediction analytics on employee retention. They help in monitoring workload, preventing burn-out, and customize approaches to enhance individual well-being. Most importantly, they predict career paths and determine training needs; hence, they are good at improving talent development. Successful implementation, however, is dependent on resolving challenges such as data privacy, model accuracy, system interoperability, and bias in artificial intelligence (AI). Applications of digital twin technology (DTT) in onboarding are numerous and important in real life concerning the retention, productivity, and attrition levels of employees. Real-time and predictive data can allow proactive improvement in onboarding and the happiness levels of workers as well as overall company performance results. 2026 Channi Sachdeva, Veena Grover, Balamurugan Balusamy, Veer P. Gangwar, and Pardeep Kumar. Subject The topic of the resource Digital transformation; Digital twin; Employee engagement; Employee onboarding; Human resources; Personalized onboarding; Workforce integration Publisher An entity responsible for making the resource available Emerald Publishing Relation A related resource ISBN: 978-183708112-7; 978-183708113-4; 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 Makhija, Priya; Kukreja, Megha; Chacko, Elizabeth Title A name given to the resource Fintechs Contribution to Supply Chain Finance Value Creation Via Banking and Financial Systems 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 Trends and Challenges of Electronic Finance: Perspectives from Emerging Markets;pp.277-290 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-96-3304-3_16" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-96-3304-3_16</a> <a href="https://www.scopus.com/pages/publications/105023335440?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105023335440?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 Makhija P., Center for Management Studies, Jain (Deemed to Be) University, Bangalore, India; Kukreja M., Center for Management Studies, Jain (Deemed to Be) University, Bangalore, India; Chacko E., School of Business and Management, Christ University, Bangalore, India Description An account of the resource In every business, finance takes an important role which does give birth to buyer and supplier. The market is growing due to an increase in the use of supply chain financing by SMEs to improve their cash flow operations resulting requirement to manage massive volumes and speeds of data in fintech industries propelling market to move forward. However, the market's expansion is hampered by a lack of global standardisation and government-imposed tight controls on the fintech industry. The potential of Blockchain technology (BCT) has been explored in the field of digital assets and digital currency. BCT provides automation with increased efficiency and speed, greater transparency, and enhanced security and traceability. Every challenge whether faced by the company in supply chain finance or the financial intermediary can be neutralised with the use of technology. Today, technology in finance or fintech is a booming area. Where every domain in business is using technology to improvise, finance is not behind. This emerging and ever-changing field of fintech is providing many opportunities for sophisticated supply chain finance. 2025 The Editor(s) (if applicable) and The Author(s), under exclusive licence to Springer Nature Singapore Pte. Ltd. Subject The topic of the resource Blockchain Technology (BCT); Fintech; SMEs; Supply Chain Finance (SCF); Value creation Publisher An entity responsible for making the resource available Springer Science+Business Media Relation A related resource ISBN: 978-981963304-3; 978-981963303-6; 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 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 Makhija, Priya; Kumar, Anil; Chacko, Elizabeth; Kumar, R. Thanga; Mishra, Manoj Kumar Title A name given to the resource Climate Risks and Financial Resilience 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 Climate Change Management;Volume;Part F1345;pp.193-215 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-032-03484-7_11" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-032-03484-7_11</a> <a href="https://www.scopus.com/pages/publications/105027903584?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105027903584?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 Makhija P., Center for Management Studies, JAIN (Deemed-to-be University), Karnataka, Bengaluru, India; Kumar A., School of Management, Graphic Era Hill University, Uttarakhand, Haldwani, India; Chacko E., Christ University, Karnataka, Bengaluru, India; Kumar R.T., Center for Management Studies, JAIN (Deemed-to-be University), Karnataka, Bengaluru, India; Mishra M.K., Marwadi University, Gujarat, Rajkot, India Description An account of the resource Climate threats are drastically altering the risk environment for businesses, which has a significant impact on their creditworthiness and valuation. The observable effectsdisturbed supply chains, damaged assets, and decreased consumer demanddirectly result in worse financial statements and a reduced ability to pay off debt. It is no longer possible for lenders and investors to overlook the systemic risk indicated by this decline in financial health. Therefore, the stability of the larger financial system depends on climate resilience, which is crucial for individual businesses as well. Financial stability and economic resilience are increasingly at risk due to the rising frequency and severity of catastrophic weather events and long-term ecological changes. The study uses the Scopus database, one of the most extensive bibliometric sources, to map worldwide research patterns and determine future directions in the field of climate risk and financial resilience in order to comprehend and manage these issues. The results show that supply chains are disrupted, asset prices are impacted, and operating expenses rise as a result of climate concerns. As a result, businesses and financial institutions are gradually implementing resilience planning, climate risk assessment frameworks, and sustainable investment strategies. The shift to low-carbon portfolios is a noteworthy trend that proactively integrates climate risk into financial planning to guard against possible losses and open up opportunities. This study enables a thorough knowledge of the components of climate hazard, which is crucial information for lawmakers, financial institutions, and business decision-makers. This clarity makes it easier to create forward-thinking, doable initiatives, such as strengthening public-private collaboration, funding resilient infrastructure, and incorporating climate issues into financial frameworks. Building long-term financial resilience against an unpredictable environmental backdrop and proactively addressing climate-induced shocks requires these integrated methods. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. Subject The topic of the resource Climate risk assessment; Climate risks; Financial resilience; Regulatory support; Resilience planning; Stakeholder perspectives; Sustainable finance; Sustainable investment Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 16102002; 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 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 Effect of nonlinear thermal radiation on MHD boundary layer flow and melting heat transfer of micro-polar fluid over a stretching surface with fluid particles suspension Subject The topic of the resource Melting heat transfer; Micro-polar dusty fluid; Nonlinear radiation; Numerical method; Stretching sheet Description An account of the resource A comprehensive numerical study is conducted to investigate effect of nonlinear thermal radiation on MHD boundary layer flow and melting heat transfer of micro-polar fluid over a stretching surface with fluid particles suspension. Using suitable transformations, the governing equations of the problem are transformed in to a set of coupled nonlinear ordinary differential equations and then they are solved numerically using the Runge-Kutta-Fehlberg method with the help of shooting technique. Authentication of the current method is proved by having compared with established results with limiting solution. The impact of the various stimulating parameters on the flow and heat transfer is analyzed and deliberated through plotted graphs in detail. We found that the velocity, angular velocity and temperature fields increase with an increase in the melting process of the stretching sheet. Also it is visualize that the shear stress factor is lower for micropolar fluids as compared to Newtonian fluids, which may be beneficial in flow and heat control of polymeric processing. 2017 Trans Tech Publications, Switzerland. Creator An entity primarily responsible for making the resource Makinde O.D.; Kumar K.G.; Manjunatha S.; Gireesha B.J. Source A related resource from which the described resource is derived Defect and Diffusion Forum, Vol-378, pp. 125-136. Publisher An entity responsible for making the resource available Trans Tech Publications Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2017-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4028/www.scientific.net/DDF.378.125" target="_blank" rel="noreferrer noopener">https://doi.org/10.4028/www.scientific.net/DDF.378.125</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029874788&doi=10.4028%2Fwww.scientific.net%2FDDF.378.125&partnerID=40&md5=7c7f80e78bdf60bd4550352a03bf2742" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029874788&doi=10.4028%2fwww.scientific.net%2fDDF.378.125&partnerID=40&md5=7c7f80e78bdf60bd4550352a03bf2742</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 10120386; CODEN: DDAFE 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 Makinde O.D., Faculty of Military Science, Stellenbosch University, Private Bag X2, Saldanha, 7395, South Africa; Kumar K.G., Department of Studies and Research in Mathematics, Kuvempu University, Shankaraghatta, Shimoga, Karnataka, 577 451, India; Manjunatha S., Department of Engineering Mathematics, Faculty of Engineering, Christ University, Mysore Road, Bengaluru, 560074, India; Gireesha B.J., Department of Studies and Research in Mathematics, Kuvempu University, Shankaraghatta, Shimoga, Karnataka, 577 451, 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 MHD nanofluid flow past a rotating disk with thermal radiation in the presence of aluminum and titanium alloy nanoparticles Subject The topic of the resource Aluminum; Heat source; Joule heating; MHD; Nanofluid; Rotating disk; Thermal radiation; Titanium alloy nanoparticles Description An account of the resource The effects of thermal and exponential space dependent heat sources (THS and ESHS) on magneto-nanoliquid flow across a rotating disk with uniform stretching rate along radial direction are scrutinized in this communication. H2O based nanoliquids containing aluminium (AA 7075) and titanium (Ti6Al4V) alloy nanoparticles are considered. The AA7075 is made up of 90% Al, 5-6% Zn, 2-3% Mg, 1-2% Cu with additives such as Fe, Mn and Si etc. The flow is driven due to rotating disk with uniform stretching of the disk. Impacts of Joule and viscous heating are also deployed. The multidegree ordinary differential equations are formed via Von Karman transformations. The obtained non-linear BVP is solved by Runge-Kutta-Fehlberg based shooting approach (RKFS). Graphical illustrations depict the impacts of influential parameters on flow fields. The skin friction and Nusselt number are also calculated. Results pointed out that the thermal boundary layer growth stabilizes due to the influence of ESHS aspect. Velocities of AA7075 H2O nanofluid are superior than that of Ti6 Al4V H2O nanoliquid. Furthermore, the thermal performance of base liquid is outstanding when we added titanium alloy nanoparticles in comparison with aluminium alloy nanoparticles. 2018 Trans Tech Publications, Switzerland. Creator An entity primarily responsible for making the resource Makinde O.D.; Mahanthesh B.; Gireesha B.J.; Shashikumar N.S.; Monaledi R.L.; Tshehla M.S. Source A related resource from which the described resource is derived Defect and Diffusion Forum, Vol-384, pp. 69-79. Publisher An entity responsible for making the resource available Trans Tech Publications Ltd 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/10.4028/www.scientific.net/DDF.384.69" target="_blank" rel="noreferrer noopener">https://doi.org/10.4028/www.scientific.net/DDF.384.69</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85046879140&doi=10.4028%2Fwww.scientific.net%2FDDF.384.69&partnerID=40&md5=06515656c1e65a57a0c0587ce75919cf" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85046879140&doi=10.4028%2fwww.scientific.net%2fDDF.384.69&partnerID=40&md5=06515656c1e65a57a0c0587ce75919cf</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 10120386; CODEN: DDAFE 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 Makinde O.D., Faculty of Military Science, Stellenbosch University, Private Bag X2, Saldaaha, 7395, South Africa; Mahanthesh B., Department of Mathematics, Christ University, Bangalore, 560029, India, Department of Studies and Research in Mathematics, Kuvempu University, Shankaraghatta 577451, Shimoga, Karnataka, India; Gireesha B.J., Department of Studies and Research in Mathematics, Kuvempu University, Shankaraghatta 577451, Shimoga, Karnataka, India; Shashikumar N.S., Department of Studies and Research in Mathematics, Kuvempu University, Shankaraghatta 577451, Shimoga, Karnataka, India; Monaledi R.L., Faculty of Military Science, Stellenbosch University, Private Bag X2, Saldaaha, 7395, South Africa; Tshehla M.S., Faculty of Military Science, Stellenbosch University, Private Bag X2, Saldaaha, 7395, South Africa