274 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 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 John, Juswin Sajan; George, Shiju; Sharon Roji Priya, C. Title A name given to the resource Workplace Stress Prediction Using Explainable AI: A Non-intrusive Approach with Psychosocial and Demographic Features 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 Lecture Notes in Networks and Systems;Volume;1629 LNNS;pp.334-347 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-032-05548-4_27" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-032-05548-4_27</a> <a href="https://www.scopus.com/pages/publications/105019526527?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105019526527?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 John J.S., Department of AI, ML and Data Science, Christ University, Karnataka, Bengaluru, 560074, India; George S., Department of AI, ML and Data Science, Christ University, Karnataka, Bengaluru, 560074, India; Sharon Roji Priya C., Department of Computer Science and Engineering, Christ University, Karnataka, Bengaluru, 560074, India Description An account of the resource This study investigates non-intrusive approaches to workplace stress detection using machine learning/deep learning techniques. Current methods rely heavily on physiological measurements (ECG, EDA, PPG) or behavioral monitoring which face implementation challenges in corporate environments. We propose an alternative approach utilizing psychosocial stressors and demographic variables to develop an explainable AI model for occupational stress detection. This approach addresses the practical limitations of current methods, which fail to discover underlying contributors to employee stress in the workplace. Two datasets were evaluated: The corporate stress dataset (CSDIW) with 50,000 records across 30 features and the HR Analytics Job Prediction dataset (HAJP) with 15,000 records across 10 features. Machine learning models including Logistic Regression, Nae Bayes, Neural Networks, Autoencoders?+?XGBoost and ensemble methods (SVM, RF and XGBoost) were implemented in different feature spaces. Results indicate improved performance on HAJP dataset with and without feature engineering whereas models consistently underperformed on the CSDIW dataset. The soft voting-based ensemble classifier turned out the best performer achieving an accuracy of 0.86 and an f1 score of 0.84. Our findings suggest that while psychosocial features hold promise for non-intrusive stress detection in workplace, data quality and appropriate labelling remain critical challenges. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. Subject The topic of the resource Explainable AI; Machine Learning/Deep Learning; Non-Intrusive Approach; Occupational Stress; Psychosocial Stressors; Workplace Stress Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 23673370; ISBN: 978-303205547-7; 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 John, Juswin Sajan; Prathap, Boppuru Rudra; Gupta, Gyanesh; Melanaturu, Jaivanth Title A name given to the resource Categorizing Mental Stress: A Consistency-Focused Benchmarking of ML and DL Models for Multi-Label, Multi-Class Classification via Taxonomy-Driven NLP Techniques 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 Natural Language Processing Journal;Volume;11;Issue;;Article No.;100162; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.nlp.2025.100162" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.nlp.2025.100162</a> <a href="https://www.scopus.com/pages/publications/105022080973?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105022080973?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 John J.S., Department of Computer Science and Engineering, CHRIST UNIVERSITY, Bengaluru, India; Prathap B.R., Department of Computer Science and Engineering, M. S. Ramaiah University of Applied Sciences, Bengaluru, India; Gupta G., Department of Computer Science and Engineering, CHRIST UNIVERSITY, Bengaluru, India; Melanaturu J., Department of Computer Science and Engineering, CHRIST UNIVERSITY, Bengaluru, India Description An account of the resource Mental stress, a critical concern worldwide, necessitates precise and nuanced characterization. This study introduces a novel approach to effectively characterize mental stress through a multi-label, multi-class classification framework through natural language processing techniques. Building on existing literature, discussions with psychologists and other mental health practitioners, we developed a taxonomy of 27 distinctive markers spread across 4 label categories; aiming to create a preliminary screening tool leveraging textual data. The core objective is to identify the most suitable model for this complex task, encompassing comprehensive evaluation of various machine learning and deep learning algorithms. we experimented with support vector machines (SVM), random forest (RF) and long short-term memory (LSTM) algorithms incorporating various feature combinations involving Term Frequency-Inverse Document Frequency (TF-IDF) and Latent Dirichlet Allocation (LDA). The best performer of this comparative study was further evaluated against an LLM. The potential of large language models (LLMs), including their language understanding and prediction capabilities, is another key focus. We explore how these models could augment and advance mental health research, offering new perspectives and insights into the characterization of mental stress. Our findings show that the top model, an LSTM with TF-IDF and LDA (class weights assigned) outperformed the PaLM model with a coefficient of variation as low as 0.87% across all labels. Despite the PaLM model's superior average performance, it exhibited higher variability among different labels. 2025 The Author(s) Subject The topic of the resource Deep learning; LLM; Machine learning; Mental health research; Mental stress; Natural language processing Publisher An entity responsible for making the resource available Elsevier Ltd Relation A related resource ISSN: 29497191; 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 https://archives.christuniversity.in/files/original/69e2560e7b466afa1512afecbc242e91.pdf 125aee776e17686748fb0776f9aa533d 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 A critical study on role of social media in Delhi state elections 2013 & 2015 / Creator An entity primarily responsible for making the resource John, Mebin. - 1424060 Date A point or period of time associated with an event in the lifecycle of the resource 2016-02-01 Source A related resource from which the described resource is derived Master of Arts in Media and Communication Studies Subject The topic of the resource Media Studies Description An account of the resource Social media is often hailed as an instrument of digital democracy and social change. This perception is deeply rooted in the well acknowledged potential of ICT’s as ‘agents for development and empowerment .It has liberated people from the tyranny of the free flow of information and ideas. The Delhi elections held in 2013 and 2015 made a revolutionary change in India’s political equations. It shows the emergence of a new party Aam AadmiPart, Aam Aadmi Party and its victory. Publisher An entity responsible for making the resource available CHRIST (Deemed To Be University) 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 https://archives.christuniversity.in/files/original/923ec97b9aa49cce6e26a6d56e9009bc.jpg 0b6dfeeadbd8dbf97f5aef738454f6b9 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 Patents Subject The topic of the resource Patent Description An account of the resource Patent Patent Patents 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 Internet of things based financial data managing device in bank / Subject The topic of the resource Fintech Description An account of the resource Patent Number: 359269-001, Applicant: Sapna Bisht. Creator An entity primarily responsible for making the resource John, Nijumon K. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/1nahfkR1dKSRNWbkJEDS9MtLDe3R-A8iW/view" target="_blank" title="Internet of things based financial data managing device in bank /" rel="noreferrer noopener">https://drive.google.com/file/d/1nahfkR1dKSRNWbkJEDS9MtLDe3R-A8iW/view</a> Publisher An entity responsible for making the resource available Intellectual Property India Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-19 Language A language of the resource English Type The nature or genre of the resource Patent https://archives.christuniversity.in/files/original/84ff9e5374df23d2be1fab8eb4c36df0.jpg 0b6dfeeadbd8dbf97f5aef738454f6b9 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 Patents Subject The topic of the resource Patent Description An account of the resource Patent Patent Patents 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 Leadership quality analyzing device in employees / Subject The topic of the resource Technology Description An account of the resource Patent Number: 356428-001, Applicant: Dr.Nishi Tyagi. Creator An entity primarily responsible for making the resource John, Nijumon K. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/1zEzpcxhdmKepmYn9J9Om5c6PIuDh13he/view" target="_blank" title="Leadership quality analyzing device in employees /" rel="noreferrer noopener">https://drive.google.com/file/d/1zEzpcxhdmKepmYn9J9Om5c6PIuDh13he/view</a> Publisher An entity responsible for making the resource available Intellectual Property India Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-20 Language A language of the resource English Type The nature or genre of the resource Patent 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 61000116 Title A name given to the resource Influence of e-service quality on customer retention in commercial banks Subject The topic of the resource Commerce Description An account of the resource Keeping in mind the dynamic changes that have been taking place in the Indian banking scenario, since the introduction of technology and the advancement of the internet even into the remote regions of the country, the proposed study is designed to determine the impact of e-service quality newlineon the retention of banking customers in the city of Bangalore. Most of the existing studies are based on conceptual understanding and are not based on model testing. The proposed study is relevant to Bangalore as it is a tier one city with a dynamic and fast-paced lifestyle having the best newlinetechnological facilities among the tier one cities in India. The literature review initiates an exhaustive discussion of various newlineconstructs that are outcomes of e-service quality and determinants of customer retention. Based on references from the literature review,constructs identified for e-service quality are customer satisfaction, newlinecustomer commitment and customer retention. The constructs that are outcomes of customer satisfaction were identified as customer trust, commitment and loyalty, which in turn influences customer retention. Thus, commitment, loyalty, commitment and e-service quality were concluded to be influencers of customer retention, with commitment being newlinea construct that mediates the relationship between e-service quality and customer retention. Through extensive literature review, hypotheses were derived and the proposed conceptual model is developed. newlineObjectives of the proposed study are to empirically validate a model to establish the relationship between e-service quality and customer retention, linking customer satisfaction, commitment, trust and loyalty with select antecedents. Research methodology gives an explanation of the population newlinefrom which the samples are collected, the justification for using the particular sampling technique and also the tool employed for data collection. Detailed explanations have also been given for checking the newlinereliability and validity of the tool and pilot data. Creator An entity primarily responsible for making the resource John, Rajani Roshan. 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 2019-01-01 Contributor An entity responsible for making contributions to the resource Injodey, Joseph I 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/10603/254947" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/254947</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 John, Silpa Mary; Kavatekar, Smita Title A name given to the resource Impact of organizational culture traits on employee intention to stay in the IT services sector: An empirical analysis 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 Problems and Perspectives in Management;Volume;23;Issue;4;pp.585-601 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.21511/ppm.23(4).2025.40" target="_blank" rel="noreferrer noopener">https://doi.org/10.21511/ppm.23(4).2025.40</a> <a href="https://www.scopus.com/pages/publications/105025814068?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105025814068?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 John S.M., Department of Commerce, Christ University, India; Kavatekar S., Department of Commerce, Christ University, India Description An account of the resource Employee retention poses a significant challenge in the Indian IT services sector, where frequent turnover leads to the loss of organizational knowledge and reduced productivity. This study assesses the impact of organizational culture on employees intention to stay in Indian-origin IT services companies in Bengaluru. We used Denisons Organizational Culture Model to measure culture across four dimensions, namely involvement, consistency, adaptability, and mission, and the Michigan Organizational Assessment Questionnaire to measure intention to stay. Using purposive sampling, we collected data from 384 employees of major Indian-origin IT firms between July 2023 and March 2024. Data were analyzed using factor analysis, linear regression, and Hayess PROCESS macro in SPSS 20.0. The results indicate that organizational culture has a significant and positive impact on employees intention to stay (? = 0.286, p < .001), accounting for 8.2% of the variance (R2 = 0.082). Path analysis confirms a strong positive effect (effect size = 0.486, 95% CI [0.322, 0.650], p < .001). The factor analysis demonstrates that stronger cultural dimensions especially empowerment, coordination and integration, organizational learning, and goals and objectives enhance employee retention in IT services firms. The study recommends that HR policies integrate cultural development to strengthen employee commitment and retention. Future studies should explore additional job and organizational factors that influence employee loyalty. Silpa Mary John, Smita Kavatekar, 2025. Subject The topic of the resource employee retention; Indian IT sector; intention to stay; IT services; organizational culture Publisher An entity responsible for making the resource available LLC CPC Business Perspectives Relation A related resource ISSN: 17277051; 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 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 John, Silpa Mary; Kavatekar, Smita Title A name given to the resource A Comparative Study of Gender and Age-Based Differences in Organisational Culture: Evidence from an Empirical Analysis 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 Research Journal of Multidisciplinary Scope;Volume;7;Issue;1;pp.1488-1498 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.47857/irjms.2026.v07i01.07754" target="_blank" rel="noreferrer noopener">https://doi.org/10.47857/irjms.2026.v07i01.07754</a> <a href="https://www.scopus.com/pages/publications/105029816196?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105029816196?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 John S.M., Department of Commerce, Christ University, Hosur Road, Karnataka, Bengaluru, India; Kavatekar S., Department of Commerce, Christ University, Hosur Road, Karnataka, Bengaluru, India Description An account of the resource Organisational culture (OC) plays a significant role in shaping employee attitudes, engagement, and overall effectiveness. However, limited empirical evidence explores how demographic factors, such as age and gender, influence employees perceptions of organisational culture. This study reveals age and gender-based differences in organisational culture among employees from leading Indian-origin IT services companies in Bengaluru. Grounded in the Denison Organizational Culture Model, the study examines four key dimensions: involvement, consistency, adaptability, and mission. Data were collected from employees using a structured questionnaire, and statistical analyses, including ANOVA and Z-tests, were applied to examine differences in cultural perceptions. The results indicated that overall organisational culture scores did not differ significantly among age or gender groups. Specific dimensions, such as capability development, core values, agreement, and vision, exhibited significant age-related differences, with younger employees (2030 years) perceiving a stronger culture than those in the 3140 age group. No significant gender-based differences were observed across any dimension. These findings demonstrate the importance of demographic responsiveness in shaping inclusive organisational practices. The study contributes to organisational behaviour literature and offers practical implications for HR managers and leaders seeking to develop employee engagement and cultural alignment in the IT services sector. Keywords:. 2026, Iquz Galaxy Publisher. All rights reserved. Subject The topic of the resource Age; Denison Model; Employee Engagement; Gender; IT Services; Organisational Culture Publisher An entity responsible for making the resource available Iquz Galaxy Publisher Relation A related resource ISSN: 2582631X; 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 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 John, Trixy Elizabeth Title A name given to the resource Work motivation of teachers: Role of self-leadership and self-directed professional development 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 Evolving Strategies for Organizational Management and Performance Evaluation;pp.645-656 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-0149-5.ch030" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-0149-5.ch030</a> <a href="https://www.scopus.com/pages/publications/85218057832?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85218057832?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 John T.E., Christ University, India Description An account of the resource A developing body of literature endorses that the sustainment of quality is a vital predictor for the success of educational processes and systems. Teachers who are the important stakeholders in the education system should strive to improve their quality for better student outcomes. Teachers' motivation at work is a basic condition for professional growth and development. This chapter specifically focuses on the need to understand work motivation of teachers in the context of self-determination theory. The chapter also focusses on the role of self-leadership and self-directed professional development in enhancing motivation. In the era of constant changes, it is essential that teachers should have the capability to devise new strategies to lead effectively. To establish a better workplace wellbeing, it is vital to understand the role of self-leadership and self-directed professional development in influencing intrinsic and extrinsic motivation. 2025, IGI Global Scientific Publishing. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833730151-8; 979-833730149-5; 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 Non-Antibacterial Carbon Nanoparticles and Its Fluorescence Properties Description An account of the resource Highly fluorescent carbon nanoparticles are synthesized from corn starch via one-pot hydrothermal method. Upon treatment with the lime juice as the catalyst, carbon nanoparticles are functionalized with potassium, and an improvement in the luminescence behavior is also observed. The synthesized nanoparticles did not exhibit any antibacterial activity against gram-positive (Staphylococcus aureus, Bacillus subtilis) and gram-negative (Pseudomonas fluorescence, E.coli) bacteria. The excellent photoluminescence coupled with non-toxic behaviour of the carbon nanoparticles would be best suited for biomedical applications. The Electrochemical Society Creator An entity primarily responsible for making the resource Johnson A.; Santhosh D.; Thomas R.; Elcey C.; Manoj B. Source A related resource from which the described resource is derived ECS Transactions, Vol-107, No. 1, pp. 9015-9022. Publisher An entity responsible for making the resource available Institute of Physics 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/10.1149/10701.9015ecst" target="_blank" rel="noreferrer noopener">https://doi.org/10.1149/10701.9015ecst</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130574617&doi=10.1149%2F10701.9015ecst&partnerID=40&md5=446e97328dbc39a9f2a2d28beb1e37a9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130574617&doi=10.1149%2f10701.9015ecst&partnerID=40&md5=446e97328dbc39a9f2a2d28beb1e37a9</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 19386737; ISBN: 978-160768539-5 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 Johnson A., Department of Physics, CHRIST (Deemed to be University), Karnataka, 560029, India; Santhosh D., Department of Physics, CHRIST (Deemed to be University), Karnataka, 560029, India; Thomas R., Department of Physics, CHRIST (Deemed to be University), Karnataka, 560029, India; Elcey C., Department of Lifesciences, Kristujayanthi College, Karnataka, 560077, India; Manoj B., Department of Physics, CHRIST (Deemed to be University), Karnataka, 560029, 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 What is beautiful is good: An evalutation of effectiveness of attractiveness in celebrity endorsements Subject The topic of the resource Advertising; Attitude towards brand; Celebrity endorsement; Purchase intention Description An account of the resource The studies in the field of marketing have shown that characteristics of the source will influence persuasiveness of an advertisement. Attractiveness is one such celebrity characteristic that is widely studied by researchers in the field of marketing. However, still, literature failed to explain how attractiveness of celebrity endorsers influenced purchase intentions. This study tried to fill this gap by modelling the influence of celebrity attractiveness on purchase intention. It also evaluated the effect of respondents' gender on the model. The data collection for the study were carried out during March - June 2017. The study found that the effect of celebrity attractiveness on purchase intention was mediated by celebrity brand fit, attitude towards the advertisement, and attitude towards the brand. The study also evaluated the moderating effect of respondents' gender using chi- square analysis, which found no significant model difference among male and female respondents. These findings indicated that celebrity attractiveness created purchase intention in a mediated manner among the respondents, irrespective of their gender. 2018, Associated Management Consultants Private Limited. Creator An entity primarily responsible for making the resource Johnson J.; Thomas T. Source A related resource from which the described resource is derived Indian Journal of Marketing, Vol-48, No. 8, pp. 24-36. Publisher An entity responsible for making the resource available Associated Management Consultants Pvt. 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/10.17010/ijom/2018/v48/i8/130538" target="_blank" rel="noreferrer noopener">https://doi.org/10.17010/ijom/2018/v48/i8/130538</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85052444688&doi=10.17010%2Fijom%2F2018%2Fv48%2Fi8%2F130538&partnerID=40&md5=26562dc09766c5f3dcb24eff1b617e13" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85052444688&doi=10.17010%2fijom%2f2018%2fv48%2fi8%2f130538&partnerID=40&md5=26562dc09766c5f3dcb24eff1b617e13</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9738703 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 Johnson J., School of Management and Business Studies, Mahatma Gandhi University, Priyadarsini Hills P.O., Kottayam, Kerala, 686 560, India; Thomas T., Department of Management Studies, Christ (Deemed to be University), Bangalore, Karnataka, 560 029, 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 Johnson, Amala; John, Nimitha; Jacob, Lija Title A name given to the resource Modelling bivariate vector autoregressive model using copula approach 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 System Assurance Engineering and Management; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s13198-026-03267-z" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s13198-026-03267-z</a> <a href="https://www.scopus.com/pages/publications/105034308177?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105034308177?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 Johnson A., Department of Statistics and Data Science, CHRIST(Deemed to be University), Hosur road, Karnataka, Bengaluru, 560029, India; John N., Department of Statistics and Data Science, CHRIST(Deemed to be University), Hosur road, Karnataka, Bengaluru, 560029, India; Jacob L., Department of Statistics and Data Science, CHRIST(Deemed to be University), Hosur road, Karnataka, Bengaluru, 560029, India Description An account of the resource In this study, we propose a novel approach to model the relationship between bivariate time series by introducing a bivariate vector autoregressive model with Ali-Mikhail-Haq(AMH) copula, incorporating non-normal errors. The utilization of the Ali-Mikhail-Haq copula will allow for flexible modeling of the dependence structure between the two time series. This copula framework enables us to model the joint distribution of the errors with greater accuracy. Our approach provides a way to capture the relationships between the two time series, making it more suitable for complex data structures where traditional methods based on normal error assumptions may fall short. The Inference Functions for Margins (IFM) technique is employed to estimate both the model parameters and the dependency structure in our proposed model. To evaluate the accuracy of the proposed model, we conduct an extensive simulation study. The results demonstrate that the suggested model performs robustly across different scenarios, effectively capturing the dependence structure and delivering precise parameter estimates. The AMH copula efficiently models moderate levels of both negative and positive dependence. To enhance forecasting performance, we introduce a hybrid extension in which an artificial neural network(ANN) is applied to the residuals of the copula-based AMHVAR model. This hybrid approach captures remaining nonlinear patterns not explained by the linear VAR dynamics and the copula-based dependence structure, leading to improved predictive accuracy. Finally, we apply the proposed models to real-world data, further validating its practical applicability. The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2026. Subject The topic of the resource AMH copula; Bivariate vector autoregression; Forecasting; Hybrid model; IFM Publisher An entity responsible for making the resource available Springer Relation A related resource ISSN: 9756809; 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 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 Johnson, Amala; John, Nimitha; Paulose, Joy Title A name given to the resource A Univariate and Multivariate Time Series Analysis for the Prediction of Maize Production in India 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 Lecture Notes in Networks and Systems;Volume;1293;pp.397-411 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-96-3247-3_30" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-96-3247-3_30</a> <a href="https://www.scopus.com/pages/publications/105006921095?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105006921095?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 Johnson A., CHRIST (Deemed to be University), Bengaluru, India; John N., CHRIST (Deemed to be University), Bengaluru, India; Paulose J., CHRIST (Deemed to be University), Bengaluru, India Description An account of the resource This study examines the use of time series analysis for predicting maize production in India. The objective is to analyze the relationship between maize productions, domestic consumption, exports, and to forecast maize production using various time series models. The study employs cointegration techniques such as Johansen's test, Engle-Granger test, and Granger causality test to determine the long-term relationship between the variables. The findings exhibit that there is a bidirectional causal relationship between domestic consumption and export series and between domestic consumption and production series and that all three variables are co-integrated. To forecast maize production, the study employs both multivariate and univariate time series models. The multivariate models used are vector auto regressive and vector error correction models, while the univariate models used are ARIMA (auto regressive integrated moving averages), Holts exponential smoothing, NNAR (neural network auto regression), K-nearest neighbors (KNN), and LSTM (long short-term memory). The best forecast model is selected on the basis of a comparison of three evaluation metrics: mean absolute square error, mean absolute percentage error, and root mean square log error. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. Subject The topic of the resource ARIMA; Co-integration; LSTM; NNAR; VECM Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 23673370; ISBN: 978-981963246-6; 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 Johnson, Deepak; Modak, Tapas Singh Title A name given to the resource Economics of Farming in Mahatwar, Uttar Pradesh 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 Review of Agrarian Studies;Volume;15;Issue;2;pp.71-87 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.25003/RAS.15.02.0006" target="_blank" rel="noreferrer noopener">https://doi.org/10.25003/RAS.15.02.0006</a> <a href="https://www.scopus.com/pages/publications/105029486323?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105029486323?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 Johnson D., Department of Economics, Christ University, India; Modak T.S., Foundation for Agrarian Studies, India Description An account of the resource Recent policy efforts have focussed on transforming eastern Uttar Pradesh, an acknowledgement of the relative backwardness of the regions agricultural development. Despite this, there has been little discussion in the literature of agrarian relations and their implications for the economics of farming. Taking Mahatwar village in eastern Uttar Pradesh as a case study, this article examines disparities across socio-economic classes in incomes and the costs of cultivation. We found substantial inequality, with landlord and big capitalist farmer households earning nearly 30 times the annual income of lower peasant and manual worker households. These disparities arise primarily from differences in costs: poor peasant and manual worker households bear a disproportionate rental burden, rely excessively on family labour, and use much of their produce for self-consumption. Our findings highlight the need for rent reduction and yield enhancement, along with support measures such as minimum support prices (MSPs), to provide meaningful incomes to low-income farmers. 2025, Tulika Books. All rights reserved. Subject The topic of the resource cost of cultivation; crop incomes; Eastern Uttar Pradesh; minimum support price (MSP); rent; socio-economic classes; yield Publisher An entity responsible for making the resource available Tulika Books Relation A related resource ISSN: 22494405; 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 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 nickel uptake on selected growth parameters of Amaranthus viridis L. / Subject The topic of the resource Botony Description An account of the resource Journal of Applied And Natural Science, Vol.10, Issue 3, pp.1011-1017, ISSN No: 0974-9411. Creator An entity primarily responsible for making the resource Johny Joseph, Jayaram Reddy, and D Sayantan Source A related resource from which the described resource is derived <a href="https://journals.ansfoundation.org/index.php/jans/article/view/1838" target="_blank" title="Effect of nickel uptake on selected growth parameters of Amaranthus viridis L." rel="noreferrer noopener">https://journals.ansfoundation.org/index.php/jans/article/view/1838</a> Publisher An entity responsible for making the resource available Applied And Natural Science Foundation Date A point or period of time associated with an event in the lifecycle of the resource 2018-12-29 Language A language of the resource English Type The nature or genre of the resource Journal Article 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 Classification and correlational analysis on lower spine parameters using data mining techniques Subject The topic of the resource Classification; Correlation; Data mining; Decision tree; Lower back pain; Pelvic incidence; Sacral slope; Spondylolisthesis; Support vector machines Description An account of the resource The application of data mining in the field of medical science is slowly gaining popularity. This is due to the fact that enormous statistical inferences from data related to the human body and medicine was a possible with high accuracy rates which was a tedious task in the past. This had led to discoveries and breakthroughs which has saved thousands of lives. Lower back pain is one of the most common issues faced by majority of the population throughout the world. The early detection and treatment of LBP can avoid life threatening issues in the body. Objective: This study aims to create a classification model which can be used to detect an unhealthy spine using the lumbar and sacral parameters. Correlational analysis was performed between different attributes to find distinguishing factors between healthy and unhealthy spine. Method: Classification methods were used such as decision tree and SVM. Correlational analysis was performed using pearson method between each attribute. Results: After creating the model using the different classification methods it was found that Ctree produced the highest accuracy with 92.80% on average. It was also found that there were 6 attribute pairs that had high correlation coefficient to distinguish unhealthy and healthy spine observations. BEIESP. Creator An entity primarily responsible for making the resource Johny R.V.; Roseline Mary R. Source A related resource from which the described resource is derived International Journal of Recent Technology and Engineering, Vol-7, No. 6, pp. 1450-1456. Publisher An entity responsible for making the resource available Blue Eyes Intelligence Engineering and Sciences Publication Date A point or period of time associated with an event in the lifecycle of the resource 2019-01-01 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-s2.0-85067055940&partnerID=40&md5=759470d8c842a716bfcc3197e783d299" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067055940&partnerID=40&md5=759470d8c842a716bfcc3197e783d299</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 22773878 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 Johny R.V., Department of Computer Science, CHRIST (Deemed To Be University), India; Roseline Mary R., Department of Computer Science, CHRIST (Deemed To Be 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 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 Johny, Akshay; Senthil Vadivu, M.; Jeevanand, E.S. Title A name given to the resource Predictive Analytics for Train Timeliness Using Long Short Term Memory and Machine Learning Techniques 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 4th International Conference on Applied Artificial Intelligence and Computing, ICAAIC 2025;pp.1049-1054 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICAAIC64647.2025.11330264" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICAAIC64647.2025.11330264</a> <a href="https://www.scopus.com/pages/publications/105034854796?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105034854796?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 Johny A., Christ (Deemed to be University), Department of Statistics and Data Science, Karnataka, Bengaluru, India; Senthil Vadivu M., Christ (Deemed to be University), Department of Statistics and Data Science, Karnataka, Bengaluru, India; Jeevanand E.S., Christ (Deemed to be University), Department of Statistics and Data Science, Karnataka, Bengaluru, India Description An account of the resource Train delays are one of the most persistent issue faced by Indian Railways and it has still been the issue with all the modern infrastructure and increasing travel demands. Traditional methods mainly depend on historical averages and simple modelling which fail to capture complex patterns in delays caused. This research aims to build machine learning and neural network models to analyse historical data from past train journeys and make predictions for future train journeys. Machine learning models include Decision Trees, XGBoost, Random Forest, Extra Trees and a neural network model LSTM to predict the delay for a particular train on a given day based on the previous running status. The highest accuracy of 94.02% was found using LSTM model and a lowest of 72.65% for Decision Tree Regressor algorithm. 2025 IEEE. Subject The topic of the resource Decision Trees; Machine Learning; RNN; Train Delay; XGBoost Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833156587-9; 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 https://archives.christuniversity.in/files/original/8d79bbaa56bf1f6f57f3932157da342a.pdf 982c2bc5df1af0bfb9e54898dcf28596 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 Romantic Relationships among Late Adolescents: Meaning of Romance, Parental and Peer Influences and Gender differences Creator An entity primarily responsible for making the resource Johri Aanchal Date A point or period of time associated with an event in the lifecycle of the resource 2014 Source A related resource from which the described resource is derived Psychology 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 Smart Tracker Device for Women Safety Subject The topic of the resource coordinates; Google Maps; GPS Description An account of the resource Internet of Things (IoT) technologies assists by which machines, circuits, and many types of devices and interfaces communicate with one another. This IoT technology is useful for several purposes, especially in the field of Networking and Run-time data storage. Considering Women safety as our primary objective, we have used this technology and some other hardwares, including Raspberry Pi, to help the user in case of any emergency. Here also, with the help of IoT we are trying to make a device which can track the runtime location and the live, exact and efficient coordinates of the system which is in track. In the above context, in case of emergencies, it is very important to know the right place for the person to perform several important and critical actions whatsoever present at the right time.The GPS coordinates can be used to solve and analyse this problem. Additionally, we intend to add a voice recorder in case the women want to record any suspicious activity or information that can be helpful in the future for evidence purposes. In this paper, IoT is acting directly by receiving a person's GPS links from his server. Furthermore, we are combining the web interface with Google Maps on a single server so that the user's location can be tracked immediately using real-time coordinates.Our application can be used for wildlife, school-aged children, parent safety, and transportation services where location is a key factor. Although there are several direct and indirect usages of this project, the main use to which the project is concentrated is the use of this device to help our loved ones in the time of need. 2021 IEEE. Creator An entity primarily responsible for making the resource Johri P.; Sharma V.; Gupta V.; Baghela V.S. Source A related resource from which the described resource is derived Proceedings - 2021 3rd International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2021, pp. 620-625. 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 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICAC3N53548.2021.9725611" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICAC3N53548.2021.9725611</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126909857&doi=10.1109%2FICAC3N53548.2021.9725611&partnerID=40&md5=b46e17266dc03b41c7f3f0ba8164797b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126909857&doi=10.1109%2fICAC3N53548.2021.9725611&partnerID=40&md5=b46e17266dc03b41c7f3f0ba8164797b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166543811-7 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 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 Johri P., Galgotias University, School of Computer Science and Engineering, India; Sharma V., GCET, Department of CSE, Greater Noida, India; Gupta V., CHRIST University, Department of Computer Science, New Delhi, India; Baghela V.S., Galgotias University, School of Computer Science and Engineering, 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 Platinum decorated polythiophene modified stainless steel for electrocatalytic oxidation of benzyl alcohol Subject The topic of the resource Benzyl alcohol; Electrooxidation; Polythiophene; TEMPO Description An account of the resource Abstract: Platinum nanoparticles were electrochemically deposited on conducting polymer polythiophene (PTh)-coated stainless steel (SS) substrate. A thin layer of PTh on the steel substrate facilitates uniform deposition of Pt nanoparticles on the substrate, thereby improving the surface area to a great extent. The electrochemical properties of the modified electrodes were analyzed by cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS). The physicochemical properties of the modified electrodes were investigated by Scanning electron microscopy (SEM), Transmission electron microscopy (TEM), X-ray diffraction spectroscopy (XRD), Raman spectroscopy, and Fourier transform infrared spectroscopy (FTIR). The proposed method has been applied for the electrocatalytic oxidation of benzyl alcohol in the presence of a mediator, 2,2,6,6-tetramethylpiperidine 1-oxyl (TEMPO). Cyclic voltammetric studies reveal that the electrocatalytic activity of PtPTh/SS electrode is higher than that of PTh/SS electrode toward the conversion of benzyl alcohol to benzaldehyde. Graphic abstract: [Figure not available: see fulltext.]. 2019, Springer Nature B.V. Creator An entity primarily responsible for making the resource Joice E.K.; Rison S.; Akshaya K.B.; Varghese A. Source A related resource from which the described resource is derived Journal of Applied Electrochemistry, Vol-49, No. 9, pp. 937-947. Publisher An entity responsible for making the resource available Springer Netherlands Date A point or period of time associated with an event in the lifecycle of the resource 2019-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s10800-019-01336-9" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s10800-019-01336-9</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85069434022&doi=10.1007%2Fs10800-019-01336-9&partnerID=40&md5=cddc375d4e3fa7500562dc281f9d5ad2" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85069434022&doi=10.1007%2fs10800-019-01336-9&partnerID=40&md5=cddc375d4e3fa7500562dc281f9d5ad2</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 0021891X; CODEN: JAELB 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 Joice E.K., Christ Academy Institute for Advanced Studies, Christ Nagar, BegurKoppa Road, Bengaluru, 560083, India; Rison S., Christ Academy Institute for Advanced Studies, Christ Nagar, BegurKoppa Road, Bengaluru, 560083, India, Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, 560029, India; Akshaya K.B., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, 560029, India; Varghese A., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, 560029, India