86 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 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 Banerjee, Dyuti; Krishnan, Sivaneasan Bala; Upreti, Kamal; Tharewal, Sumegh Shrikant; Shankar, Uma; Kshirsagar, Pravin; Kumar, Manoj Title A name given to the resource Data-Driven Drug Discovery Optimization for Breast Cancer Using Interpretable Machine Learning Models 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 Journal of Visualized Experiments;Volume;2025;Issue;223; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.3791/68705" target="_blank" rel="noreferrer noopener">https://doi.org/10.3791/68705</a> <a href="https://www.scopus.com/pages/publications/105018502113?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105018502113?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 Banerjee D., Koneru Lakshmaiah Education Foundation, India; Krishnan S.B., Singapore Institute of Technology, Singapore; Upreti K., Christ University, India; Tharewal S.S., DBS Global University, India; Shankar U., Qaiwan International University, Iraq; Kshirsagar P., J D College of Engineering & Management, India; Kumar M., Gurukula Kangri University, India Description An account of the resource Breast cancer remains one of the most prevalent malignancies worldwide, posing significant therapeutic challenges due to tumor heterogeneity and drug resistance. This study presents a reproducible, data-driven machine learning protocol for predicting drug sensitivity in breast cancer cell lines, with the dual objective of identifying potent single agents and synergistic drug combinations. Using curated datasets from the Genomics of Drug Sensitivity in Cancer (GDSC), two predictive approaches were implemented: a standalone XGBoost regressor and a hybrid Autoencoder-XGBoost pipeline. Preprocessing included label encoding, one-hot encoding, Z-score standardization, missing value imputation, and dimensionality reduction via PCA. Model evaluation demonstrated that XGBoost achieved superior performance (MSE = 1.3789, R2 = 0.8145) compared to the hybrid model (MSE = 4.0322, R2 = 0.4577). Interpretability was addressed using SHapley Additive exPlanations (SHAP), which identified TARGET_PATHWAY, DRUG_ID, TARGET, and CELL_LINE_NAME as key predictive features, aligning with established pharmacological mechanisms. Predicted synergy scores, derived from combining model outputs with DrugComb and SynergyDB data, highlighted promising drug pairs such as Bortezomib + Romidepsin and Paclitaxel + Bortezomib. These findings were further supported by PCA-based pharmacological clustering, revealing biologically relevant groupings of drugs with similar mechanisms of action. The proposed protocol provides a transparent and adaptable framework for precision oncology research, enabling both predictive accuracy and biological interpretability. By integrating rigorous preprocessing, model validation, explainability, and drug synergy analysis, this workflow offers a scalable foundation for translational drug discovery and repurposing in breast cancer treatment. 2025 JoVE Journal of Visualized Experiments. Publisher An entity responsible for making the resource available MyJoVE Corporation Relation A related resource ISSN: 1940087X; 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 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 61000297 Title A name given to the resource Optical Spectroscopy of Classical Be Stars in The Galaxy Subject The topic of the resource Physics and Electronics Description An account of the resource A classical Be (Be hereafter) star is a special type of massive B-type main newlinesequence star surrounded by a geometrically thin, equatorial, gaseous, decretion disc orbiting the central star. Spectra of Be stars show emission lines of different elements. Studying these lines provide an excellent opportunity to understand the geometry and kinematics of the circumstellar newlinedisc and properties of the central star itself. Be stars, thus provide excellent opportunities to study circumstellar discs. However, the disc formation mechanism in Be stars the Be phenomenon is still poorly understood. The present study focuses on studying a large sample of Be stars through newlineoptical spectroscopy and using two national optical telescope facilities. We performed the spectroscopic study of all major emission lines for a sample of 115 feld Be stars in the wavelength range of 3800 - 9000 using the 2.1-m HCT facility at Ladakh. To our knowledge, this is the frst study where near simultaneous spectra covering the whole spectral range of 3800 - 9000 has been studied for over 100 feld Be stars. We, therefore, produce an atlas of emission lines for Be stars which will be a valuable resource for researchers involved in Be star research. We made use of the unprecedented capability of the Gaia mission to re-estimate the extinction parameter (AV ) for these stars. The estimated AV values are used for extinction correction in the analysis of Balmer decrement (D34 and D54) for our program stars. D34 in our sample ranges between 0.1 and 9.0, whereas the corresponding D54 value mostly (and#8776; 70%) ranges between 0.2 and 1.5, clustering somewhere near 0.8 and#8722; 1.0. Our study indicates that Be star discs are generally optically thick in nature in majority of the cases. Through comparative study with the literature, we also noticed that the Hand#945; EW values in Be stars are usually lower than -40 Further from our analysis, it appears that the emission strength of Hand#945;, P14, FeII 5169 and OI 8446 is more in early B-type stars. Creator An entity primarily responsible for making the resource Banerjee, Gourav 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 2023-01-01 Contributor An entity responsible for making contributions to the resource Mathew, Blesson 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/10603/547689" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/547689</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 Banerjee, Jayanta; Kiran, Prabha; Kishore, S.V. Krishna; Vasudevan, M. Title A name given to the resource Privacy over instant messaging platforms: are users making the right decisions? 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 International Journal of Public Sector Performance Management;Volume;16;Issue;3;pp.367-385 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1504/IJPSPM.2025.148526" target="_blank" rel="noreferrer noopener">https://doi.org/10.1504/IJPSPM.2025.148526</a> <a href="https://www.scopus.com/pages/publications/105016123163?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105016123163?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 Banerjee J., College of Business, City University Ajman, United Arab Emirates; Kiran P., Westminster International University in Tashkent, 12 Istikbol Street, Tashkent, 100047, Uzbekistan; Kishore S.V.K., Christ University, Hosur Road, Near Diary Circle Bangalore, Karnataka, 560029, India; Vasudevan M., Christ University, Hosur Road, Near Diary Circle Bangalore, Karnataka, 560029, India Description An account of the resource This article explores the impact of perceived vulnerability, self-efficacy, resistance to change, and habit on users perception of privacy over users intention to use messaging platforms. The conceptual model includes perceived vulnerability, self-efficacy, resistance to change, habit, and its impact on users perception of privacy over users intention to use messaging platforms. A structural equation and hierarchical regression model were used for data analysis. The results show that age and profession affect peoples decision of shifting to a different platform significantly. The study is based on a few specific instant messaging platforms at one particular point in time and is undertaken in India; hence, the findings cannot be extended/applicable to other countries. The paper discusses the factors impacting the users sensitivity to data privacy while using a communication application through an electronic device, especially a mobile phone. Copyright 2025 Inderscience Enterprises Ltd. Subject The topic of the resource data privacy; information privacy; instant messaging platform; privacy concern Publisher An entity responsible for making the resource available Inderscience Publishers Relation A related resource ISSN: 17411041; 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 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 Banerjee, Jayanta; Kiran, Prabha; Vasudevan, M.; Krishna Kishore, V. Title A name given to the resource Nudging children towards a sustainable toy story 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 Perspectives in Agile Sustainable Practices and Business Value;pp.25-32 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4324/9781003619918-4" target="_blank" rel="noreferrer noopener">https://doi.org/10.4324/9781003619918-4</a> <a href="https://www.scopus.com/pages/publications/105018284377?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105018284377?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 Banerjee J., City University, China; Kiran P., Department at Westminster, International University, Vietnam, Viet Nam; Vasudevan M., Christ University, Bangalore, India; Krishna Kishore V., Christ University, Bangalore, India Description An account of the resource In a world which is under a huge environmental strain, choosing sustainable products can be a significant way to correct the delicate balance. Population explosion and rapid industrialization with low concern about sustainability are affecting our environment faster than anticipated. The present study explores if children can be nudged to choose a sustainable product. A pre-test, post-test experiment design was used to observe the preference of children towards wooden toys and their packaging materials eco-friendliness. An experimental research approach is chosen in the present study, as the main motive for this study is to examine the cause-effect relationships between communications nudge and an increased preference towards wooden toys. The experiment reveals that after gaining knowledge about the benefits of sustainable toys, children preferred wooden toys over the plastic ones. The experiment was conducted on 36 children after taking their parents consent. It was concluded that persuasive communication used as nudge can help children make better choice. 2026 selection and editorial matter, Dipak Saha, Mrinal Kanti Das, Sunil Sahadev, Rabin Mazumder and Soumya Mukherjee; individual chapters, the contributors. Publisher An entity responsible for making the resource available Taylor and Francis Relation A related resource ISBN: 978-104034880-2; 978-103294411-1; 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 https://archives.christuniversity.in/files/original/3d2bb3c8e770b0d8955b2e4a95ace4de.png ae8597b1fb62da5294ca14f6fc0ece85 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 Novel system for mental health state analysis using machine learning and methods thereof / Subject The topic of the resource Communication Description An account of the resource Patent Number: 202041044754, Applicant: Prof.Santosh Kumar J. Systems and methods are provided to understand mental health state of an individual by audio sensors, video sensors and log data of mobile devices. To get more accurate and reliable data machine learning module is also integrated with three input forms of data provided to the system. Once any abnormality is observed, it is reported to the caretakers with a coping strategy to solve the illness at initial stages. Creator An entity primarily responsible for making the resource Banerjee, Jayanta. Source A related resource from which the described resource is derived Banerjee, Jayanta. 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 2020-03-21 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 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 Banerjee, Pallab; Hashim, Mohammad; Mitra, Dipra; Upreti, Kamal; Jain, Rituraj; Kumar, Ashwani; Kumar, Mohit Title A name given to the resource DNA Data Storage: A Novel Approach to High Density, Long Term Digital Storage 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 El-Cezeri Journal of Science and Engineering;Volume;13;Issue;1;pp.59-70 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.31202/ecjse.1663692" target="_blank" rel="noreferrer noopener">https://doi.org/10.31202/ecjse.1663692</a> <a href="https://www.scopus.com/pages/publications/105031718284?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105031718284?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 Banerjee P., Department of Computer Science and Engineering, Amity University Jharkhand, Ranchi, India; Hashim M., Department of Computer Science and Engineering, Amity University Jharkhand, Ranchi, India; Mitra D., Department of Computer Science and Engineering, Amity University Jharkhand, Ranchi, India; Upreti K., Department of Computer Science, Christ University, Delhi NCR Campus, Ghaziabad, India; Jain R., Department of Information Technology, Marwadi University, Gujarat, Rajkot, India; Kumar A., School of Computer Science Engineering Technology, Bennett University, UP, Greater Noida, India; Kumar M., Department of Computer Science and Engineering, Amity University Jharkhand, Ranchi, India Description An account of the resource With global data volume expected to reach 175 zettabytes by 2025, existing data storage systems face growing issues due to limited durability, high costs, and susceptibility to data loss. DNA, a naturally occurring biomolecule with extremely high storage density and extraordinary stability, has emerged as a promising alternative for long-term digital data preservation. Major challenges remain, including the high cost of DNA synthesis and the slow rates of encoding and data retrieval. Recent advances in DNA nanotechnology, molecular computation, nanopore sequencing, and hybrid silicon-DNA systems are helping to overcome these difficulties. Sequence-based techniques provide exceptional density, while structural DNA approaches allow for dynamic rewriting and reusability. Ongoing research and innovation indicate that DNA-based storage is becoming more feasible in terms of efficiency, scalability, and cost-effectiveness, making it a plausible contender for meeting future data preservation demands. 2026, TUBITAK. All rights reserved. Subject The topic of the resource Data density; data retrieval; DNA data storage; DNA nanostructures; hybrid storage systems Publisher An entity responsible for making the resource available TUBITAK Relation A related resource ISSN: 21483736; 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 Banerjee, Souvik; Pandit, Abhijit; Olubiyi, Timilehin Olasoji; Kumar, Raghavendra Prasanna Title A name given to the resource Sentiment analysis in customer relationship management 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 Demystifying Emotion AI, Robotics AI, and Sentiment Analysis in Customer Relationship Management;pp.161-177 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-1867-7.ch008" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-1867-7.ch008</a> <a href="https://www.scopus.com/pages/publications/105008364853?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105008364853?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 Banerjee S., Management Development Institute, Murshidabad, India; Pandit A., Management Development Institute, Murshidabad, India; Olubiyi T.O., West Midlands Open University, Nigeria; Kumar R.P., School of Business and Management, Christ University, India Description An account of the resource Modern networking conversations generate annotated metadata, necessitating a method for synthesizing insights from statistics. Emotion detection is crucial for practical conversations, distinguishing joy, grief, and wrath. Corpora are becoming the standard for human-machine interaction, aiming to make interactions feel natural and real. A paradigm that identifies debates and customer views can provide a human touch to these interactions. Researchers developed a machine learning framework for assessing emotions in English phrases, utilizing LSTM (Long Short Term Memory) perspective and real-time emotion recognition in idiomatic speech. Emotion recognition rule (ERR) is created using ontologies like Word Net and Concept Net, Naive Bayes, and Random Forest. Real-time analysis of written words and facial expressions significantly outperforms current algorithms and commandment classifiers in identifying emotional states. 2025, IGI Global Scientific Publishing. All rights reserved. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833731869-1; 979-833731867-7; 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 Banerjee, Trina; Jayasankara Reddy, K. Title A name given to the resource The paradox of sex: A thematic analysis of identity among indian cis-gendered female asexuals 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 Psychology of Sexuality & Mental Health Vol. 2: Modern Approaches;pp.147-172 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-97-8971-9_5" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-8971-9_5</a> <a href="https://www.scopus.com/pages/publications/105005818310?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105005818310?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 Banerjee T., CHRIST (Deemed to be University), Bangalore, India; Jayasankara Reddy K., CHRIST (Deemed to be University), Bangalore, India Description An account of the resource Asexuality is the absence of sexual attraction to others or a low desire for sexual activity. In the collectivistic culture of India, the lack of sexual relations after marriage is judged from a lens of "normalcy." Asexuality is often an invisible spectrum among the queer population and usually does not get the desired attention. Individuals who identify as asexuals may not always be opposed to romantic relationships. However, the heteronomative pressures of adhering to approved social roles for romantic partners may affect them. The study aims to understand the different sources of coercion and constraints in romantic relationships experienced by individuals who identify as asexuals through in-depth interviews. The interviews tap into the mental health of asexual women in a heteronormative society. The variables in focus are coping styles, beliefs, self-image, social attitude, and relationship dynamics. The study follows a thematic approach where the emerging themes from the in-depth interviews will be analyzed in detail to form a theoretical framework to explain the heteronormative pressures on asexual women. The findings will be examined from a feminist perspective, considering the equality of all genders and sexual expressions. The findings are also analyzed using Kristeva's concept of abjection, to explore asexuality as an "abject" in a collectivistic society. Asexuality is thus seen as deviant and worthy of separation from "normal sexual expression" in a society that has conflicting opinions about sex and sexuality. Springer Nature Singapore Pte Ltd. 2025. All rights reserved. Subject The topic of the resource Abjection; Asexual women; Asexuality; Feminism; Mental health; Sexual roles Publisher An entity responsible for making the resource available Springer Nature Relation A related resource ISBN: 978-981978971-9; 978-981978970-2; 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 Banerjee, Trina; Reddy, K. Jayasankara Title A name given to the resource Promoting Emotional Well-being and Mental Health through Student Mentorship During Human Emergencies 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 Education and Pedagogical Experiences: Coping with Human Emergencies and Exploring Resilience Strategies;pp.144-150 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4324/9781003546092-12" target="_blank" rel="noreferrer noopener">https://doi.org/10.4324/9781003546092-12</a> <a href="https://www.scopus.com/pages/publications/105000121891?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105000121891?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 Banerjee T., Christ University, Bangalore, India; Reddy K.J., School of Social Sciences, Christ University, Bangalore, India Description An account of the resource The aim of this chapter is to elucidate the factors that are important in maintaining emotional well-being and promoting mental health through student mentorship in higher education in times of a pandemic. The COVID-19 pandemic has prompted academic institutions to go online prompting a profound change in the pedagogical experience of students and their mentors. It has been a challenge to adapt to this new normal for many, and the socially distant lifestyle has procured novel shortcomings. The lack of focus on awareness of mental health and well-being among academic mentors has been proven to be detrimental to the students. The mental health and well-being of mentors are also a matter of concern in the present situation. Spreading awareness about emotional well-being, imparting the knowledge of positive psychology, and psychoeducation of mental health issues among students will facilitate better coping. Motivating mentors to enhance communication and arrange for outreach programmes can be beneficial to their students. The chapter focuses on these pressing needs in the path of pedagogical experience and aims to help mentors, in turn, help themselves and their students by promoting better mental health. 2025 selection and editorial matter, Kennedy Andrew Thomas and Joseph Varghese Kureethara; individuals, the contributors. Publisher An entity responsible for making the resource available Taylor and Francis Relation A related resource ISBN: 978-104032133-1; 978-103290080-3; 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 Banerjee, Trina; Reddy, K. Jayasankara Title A name given to the resource ENHANCING EXECUTIVE FUNCTIONS THROUGH COGNITIVE-BASED INTERVENTION IN INDIVIDUALS WITH SUICIDAL IDEATION AND ATTEMPTS: A Mixed-Method Pilot Study 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 The Routledge International Handbook of Neurocognitive Rehabilitation: Practices, Innovations, and Future Directions;pp.243-265 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4324/9781003646662-18" target="_blank" rel="noreferrer noopener">https://doi.org/10.4324/9781003646662-18</a> <a href="https://www.scopus.com/pages/publications/105028470635?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105028470635?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 Banerjee T., Department of Psychology, Christ (Deemed to be University), Bengaluru, India; Reddy K.J., Department of Psychology, Christ (Deemed to be University), Bengaluru, India Description An account of the resource One of the primary causes of death around the world can be attributed to suicidality. Almost 1 million people across the globe commit suicide annually. Neurocognition has an impact on suicidal ideation, and deficits in cognitive markers influence the progression of suicide-related thoughts to behaviours. The present study aims to determine the efficacy of cognitive-based intervention on executive functions implicated in suicidal ideation and suicide attempters. A mixed-method approach was followed, which involved intervention and a quantitative and qualitative analysis. A group of 22 participants aged between 18 and 25 years with suicidal ideation and behaviour was chosen. Ten participants reported having suicidal ideation and no history of suicide attempt or self-harm, whereas 12 participants reported having suicidal ideation and at least one attempt at self-harm or suicidal behaviour. All the participants were assessed on planning, verbal fluency, and response inhibition tests. The participants then receive eight sessions of cognitive-behavioural intervention focusing on suicidal behaviour and thoughts. Post-therapy, the participants underwent a reassessment of their executive functions. The results suggested that cognitive behaviour-based therapy significantly improved planning, verbal fluency, and response inhibition. The feeling of entrapment and the level of depression were qualitatively found to be influencing suicidal ideation and suicide attempts. The study paves the way for further exploration of factors that predict suicide and determines the cause-and-effect relationship between the factors. 2026 selection and editorial matter, K. Jayasankara Reddy; individual chapters, the contributors. All rights reserved. Publisher An entity responsible for making the resource available Taylor and Francis Relation A related resource ISBN: 978-104056676-3; 978-104108711-3; 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 Framework for Sustainable Energy Management using Smart Grid Panels Integrated with Machine Learning and IOT based Approach. Subject The topic of the resource Energy Management Model (EMM); Internet of Things (IOT); Machine Learning (ML); Smart Grid; Smart Grid Description An account of the resource Maintaining a consistent supply of power is essential for the well-being of the economy, the public, and one's own health. The generation of energy, as well as its distribution, monitoring, and management, are all undergoing fundamental changes as a result of the implementation of a smart grid (SG), which is authorised to include communication technology and sensors into power systems. There are a lot of problems that need to be fixed before the interoperability of the smart grid can be determined. The integration of renewable energy sources and smart grid technology market size and energy management is a sustainable solution to the problem of energy demand management. The importance work quickly toward the development of an efficient Energy Management Model (EMM) that integrates smart grids and renewable energy sources. When it comes to the modelling of complex and non-linear data, machine learning (ML), Internet of Things (IoT) approaches often perform better than statistical models. So, utilizing a machine learning approach for the EMM is a good option since it simplifies the EMM by generating a single trained model to anticipate its performance characteristics across all conditions. This may be accomplished via the use of an EMM created using an ML method. It was recommended that a certain flexibility sample be used as a control mechanism for incursion into the smart grid. The outcomes of the experiment indicate that the demand-side management (DSM) device is more resistant to infiltration and is enough to lower the energy usage of the smart grid. 2024, Ismail Saritas. All rights reserved. Creator An entity primarily responsible for making the resource Bani Ahmad A.Y.A.; William P.; Uike D.; Murgai A.; Bajaj K.K.; Deepak A.; Shrivastava A. Source A related resource from which the described resource is derived International Journal of Intelligent Systems and Applications in Engineering, Vol-12, No. 2s, pp. 581-590. Publisher An entity responsible for making the resource available Ismail Saritas 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="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177858086&partnerID=40&md5=879fe2a0722ade27d0805d64b988f2cb" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177858086&partnerID=40&md5=879fe2a0722ade27d0805d64b988f2cb</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21476799 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 Bani Ahmad A.Y.A., Department of Accounting and Finance Science, Faculty of Business, Middle East University, 8788, Amman, 11831, Jordan; William P., Research and Development, Department of Information Technology, Sanjivani College of Engineering, Savitribai Phule Pune University, Pune, India; Uike D., Department of MBA, Dr. Ambedkar Institute of Management Studies and Research, Maharashtra, Nagpur, India; Murgai A., School of Business and Management, Christ University, Lavasa, Pune, India; Bajaj K.K., RNB, Global University, Rajasthan, Bikaner, India; Deepak A., Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Tamilnadu, Chennai, India; Shrivastava A., Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Tamilnadu, Chennai, 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 Rice Yield Forecasting in West Bengal Using Hybrid Model Subject The topic of the resource ANN; ARIMA; Forecasting; Hybrid model; Rice yield Description An account of the resource Agriculture in India is the primary source of revenue, yet farmers still face challenges. The primary goal of agricultural development is to produce a high crop yield. The Datasets collected for the study of real-world time series include a blend of linear and nonlinear patterns. A mixture of linear and non - linear models, rather than a single linear or non - linear model, gives a more precise forecasting models for time series data. The ARIMA and ANN prediction models are combined in this paper to create a Hybrid model. This model is used to predict rice yield for all 18 West Bengal districts during the Kharif season, based on 20years of information(20002019) collected from various sources such as India Meteorological Department, Area, and production Statistics, DAV from NASA, etc. The hybrid model aims to enhance efficiency indicators such as MSE, MAE, and MAPE, demonstrating excellent performance for rice yield prediction in all the districts of West Bengal. In the future, it can be applied to other crops that can support farmers in their farming. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Banik A.; Raju G.; Shukla S. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-290, pp. 222-231. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH 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/10.1007/978-981-16-4486-3_24" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-4486-3_24</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115115869&doi=10.1007%2F978-981-16-4486-3_24&partnerID=40&md5=e51033914988553141a00c6f95e0878d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115115869&doi=10.1007%2f978-981-16-4486-3_24&partnerID=40&md5=e51033914988553141a00c6f95e0878d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981164485-6 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 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 Banik A., Department of Data Science, Christ University, Bangalore, India; Raju G., Department of Data Science, Christ University, Bangalore, India; Shukla S., Department of Data Science, Christ University, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 Multiple Approaches in Retail Analytics to Augment Revenues Subject The topic of the resource Association mining; ECLAT; Product recommender; Skip-gram; word2vec Description An account of the resource Knowledge is power. The retail sector has been revolutionized around the clock by the plentiful product knowledge available to customers. Today, customers can use the knowledge available online at any time to study, compare and purchase products from anywhere. Retail companies can stay ahead of shopper trends by using retail information analytics to discover and analyze online and in-store shopper patterns. A product recommender will suggest products from a wide selection that would otherwise be very difficult to locate for the customer. The algorithm would recommend various products, increase the sales of items that would otherwise be difficult to sell. Market basket analysis is a common use scenario for the search for frequent patterns, which involves analyzing the transactional data of a retail store to decide which items are bought together. To do so data from online resource has been taken, which is analyzed and several conclusions were made. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Banik H.; Iyer L.S. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-290, pp. 276-284. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH 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/10.1007/978-981-16-4486-3_30" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-4486-3_30</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115100335&doi=10.1007%2F978-981-16-4486-3_30&partnerID=40&md5=73912b26f7cf6784862408f169e640f7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115100335&doi=10.1007%2f978-981-16-4486-3_30&partnerID=40&md5=73912b26f7cf6784862408f169e640f7</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981164485-6 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 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 Banik H., Department of School of Business and Management, CHRIST (Deemed to be University), Bangalore, India; Iyer L.S., Department of School of Business and Management, 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 Banka, Ashutosh Title A name given to the resource Capturing customers spirit in the digital era 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 Brand Creation and Management in the Phygital Era;pp.123-146 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-0948-4.ch005" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-0948-4.ch005</a> <a href="https://www.scopus.com/pages/publications/105009993608?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105009993608?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 Banka A., Christ University, India Description An account of the resource The chapter discusses the concepts of customer engagement in the digital era, more specifically focusing on emotional branding, convergence of physical and digital touchpoints for marketing, and the elements of technology. It explains in detail the processes of how brands are able to emotionally connect with their target audience, how they are able to use the data collected in a legal manner, and how they can provide a more engaging and personalized experience. By assessing consumer behavior patterns and trends in technology, the chapter provides useful insights on how brands can go after the soul of their consumers in a more and more online world. 2025, IGI Global Scientific Publishing. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833730950-7; 979-833730948-4; 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 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 Bankapur, Divya; Choudum, S.A.; Naduvath, Sudev Title A name given to the resource A STUDY ON CONJUGACY GRAPHS 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 South East Asian Journal of Mathematics and Mathematical Sciences;Volume;21;Issue;1;pp.1-10 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.56827/SEAJMMS.2025.2101.1" target="_blank" rel="noreferrer noopener">https://doi.org/10.56827/SEAJMMS.2025.2101.1</a> <a href="https://www.scopus.com/pages/publications/105006657439?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105006657439?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 Bankapur D., Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Choudum S.A., Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Naduvath S., Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India Description An account of the resource In this paper, we introduce the notion of an equivalence graph based on equivalence relation defined on a group. Furthermore, restricting ourselves to conjugacy relation, a special type of equivalence graph called a conjugacy graph is also defined. In addition, a graph theoretical expression for the class equation is established followed by related results. 2025, RAMANUJAN SOCIETY OF MATHEMATICS AND MATHEMATICAL SCIENCES. All rights reserved. Subject The topic of the resource conjugacy graph; conjugacy relation; Equivalence graph Publisher An entity responsible for making the resource available RAMANUJAN SOCIETY OF MATHEMATICS AND MATHEMATICAL SCIENCES Relation A related resource ISSN: 9727752; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Bronze Open Access Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications 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 Bankapur, Divya; Naduvath, Sudev Title A name given to the resource ON L(2, 1)-ORDER SUM SIGNED GRAPH OF A FINITE GROUP 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 Discussiones Mathematicae - General Algebra and Applications;Volume;45;Issue;2;pp.281-293 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.7151/dmgaa.1480" target="_blank" rel="noreferrer noopener">https://doi.org/10.7151/dmgaa.1480</a> <a href="https://www.scopus.com/pages/publications/105031151730?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105031151730?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 Bankapur D., Department of Mathematics, Christ University, Bangalore, India; Naduvath S., Department of Mathematics, Christ University, Bangalore, India Description An account of the resource In this paper, we have constructed a color-induced signed graph of an algebraic graph, called the L(2, 1)-order sum signed graph of a group. Based on the nature of the group, the L(2, 1)-span of the order sum graph is obtained and the structural aspects of thus obtained L(2, 1)-order sum signed graph such as planarity, chordality, etc. have been investigated. We have also defined an automorphism which turns out to be the only possible automorphism on the graph and have investigated the structural aspects of the graph such as edge transitivity and vertex transitivity. Further, a line-signed graph of L(2, 1)-order sum signed graph, which is a line graph with a signing protocol defined for the edges, has also been introduced. We have also explored the regularity of the line-signed graph. 2025 Sciendo. All rights reserved. Subject The topic of the resource L(2, 1)-coloring; L(2,1)-order sum signed graph; negative chordality; positive chordality; pseudo-planarity; signed graph homomorphism Publisher An entity responsible for making the resource available Sciendo Relation A related resource ISSN: 15099415; 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 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 Fraud detection in the era of AI: Harnessing technology for a safer digital economy Description An account of the resource Fraudulent activities have increased along with the new prospects of the digital economy's quick growth for both consumers and enterprises. Conventional techniques of fraud detection are insufficient to keep up with these ever-evolving fraudulent strategies. In this sense, machine learning (ML) and artificial intelligence (AI) have become potent instruments to prevent and detect fraud and guarantee the safety of online transactions. This study examines the function of AI and ML and shows how these technologies can spot irregularities and intricate patterns that would be challenging to find with conventional methods. The study includes various methods of AI-based fraud detection and analyses important ethical issues related to these practices. Furthermore, the study looks at developing technology and trends that will probably influence fraud detection in the future. In conclusion, the revolutionary potential of AI and ML in building a safer digital economy is analysed. 2024, IGI Global. All rights reserved. Creator An entity primarily responsible for making the resource Bansal U.; Bharatwal S.; Bagiyam D.S.; Kismawadi E.R. Source A related resource from which the described resource is derived AI-Driven Decentralized Finance and the Future of Finance, pp. 143-164. 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/10.4018/979-8-3693-6321-8.ch006" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-6321-8.ch006</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207622345&doi=10.4018%2F979-8-3693-6321-8.ch006&partnerID=40&md5=188e94d6608cc2c6061b22f4924069df" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207622345&doi=10.4018%2f979-8-3693-6321-8.ch006&partnerID=40&md5=188e94d6608cc2c6061b22f4924069df</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-836936323-2; 979-836936321-8 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Bansal U., The Technological Institute of Textile and Sciences, India; Bharatwal S., Chaudhary Bansi Lal University, Bhiwani, India; Bagiyam D.S., Christ University, Bengaluru, India; Kismawadi E.R., IAIN Langsa, Aceh, Indonesia 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 From bean to brain: Coffee, gray matter, and neuroprotection in neurological disorders spectrum Subject The topic of the resource Caffeine; Coffee; Hallucination; Neurological disorders; Schizophrenia Description An account of the resource Coffee is a popular drink enjoyed around the world, and scientists are very interested in studying how it affects the human brain. This chapter looks at lots of different studies to understand how drinking coffee might change the brain and help protect it from neurodegenerative disorders especially like schizophrenia. With the help of available literature a link between the coffee mechanism and neurodegenerative disorders is established in this chapter. Researchers have found that drinking coffee can change the size of certain parts of the brain that control things like thinking and mood. Scientists also study how coffee's ingredients, especially caffeine, can change how the brain works. They think these changes could help protect the brain from diseases. This chapter focuses on how coffee might affect people with schizophrenia as hallucination is caused during and after excess consumption of caffeine. There's still a lot we don't know, but researchers are learning more by studying how different people's brains respond to coffee over time. Overall, this chapter shows that studying coffee and the brain could lead to new ways to help people with brain disorders. This study also draws ideas for future research and ways to help people stay healthy. 2024 Elsevier B.V. Creator An entity primarily responsible for making the resource Bansal V.; Chatterjee I. Source A related resource from which the described resource is derived Progress in Brain Research, Vol-289, pp. 169-180. Publisher An entity responsible for making the resource available Elsevier B.V. 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/10.1016/bs.pbr.2024.06.007" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/bs.pbr.2024.06.007</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198146316&doi=10.1016%2Fbs.pbr.2024.06.007&partnerID=40&md5=053392fbed7175dada422da8fe621b12" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198146316&doi=10.1016%2fbs.pbr.2024.06.007&partnerID=40&md5=053392fbed7175dada422da8fe621b12</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 796123; ISBN: 978-044334467-1; PubMed ID: 39168579; CODEN: PBRRA 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 Bansal V., Department of Psychology, Christ University, Karnataka, Bangalore, India; Chatterjee I., Department of Computing and Mathematics, Manchester Metropolitan University, England, Manchester, United Kingdom Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Bansal, Prakul; Bansal, Reenu Title A name given to the resource The Transparency Paradox: Rebuilding Trust in AI Shopping Agents Through Explainability 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 Reshaping E-Commerce Through AI Shopping Agents;pp.375-406 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-7330-0.ch013" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-7330-0.ch013</a> <a href="https://www.scopus.com/pages/publications/105039724506?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105039724506?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Bansal P., Christ University, India; Bansal R., Christ University, India Description An account of the resource AI shopping agent systems that search, compare, negotiate, and purchase on a consumers behalf promise to reduce friction in digital commerce, but they also intensify long-standing concerns about price discrimination, manipulative choice architecture, and opaque data use. This chapter argues that the resulting transparency paradox is not merely a communication problem: the same AI capabilities that enable personalization can also conceal and optimize exploitation. Building on research in trust, explainable artificial intelligence, humanAI interaction, and consumer protection, the chapter develops a socio-technical approach to rebuilding trust in agentic commerce. It synthesizes regulatory and standards developments and proposes design and governance mechanisms layered explanations, contestable outcomes, auditability, and choice-integrity controls intended to make AI shopping agents intelligible and accountable across jurisdictions and market contexts. Copyright 2026, IGI Global Scientific Publishing. Publisher An entity responsible for making the resource available IGI Global Scientific Publishing Relation A related resource ISBN: 979-833737332-4; 979-833737330-0; 979-833737331-7; 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 Faculty Publications- Book Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Bansal, Sulabh; Tripathi, Aprna; Srivastava, Shilpa; Vuppulur, Prem Prakash Title A name given to the resource Nature-inspired Metaheuristic Algorithms: Solving Real World Engineering Problems 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 Nature-inspired Metaheuristic Algorithms: Solving Real World Engineering Problems;pp.1-384 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003612858" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003612858</a> <a href="https://www.scopus.com/pages/publications/105012014445?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105012014445?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Bansal S., School of Computer Science and Engineering, Manipal University Jaipur, Jaipur, India; Tripathi A., Department of Data Science and Engineering, Manipal University Jaipur, Jaipur, India; Srivastava S., Christ University, Bengaluru, India; Vuppulur P.P., Department of Electrical Engineering, Faculty of Engineering Dayalbagh Educational Institute (Deemed University), Agra, India Description An account of the resource This comprehensive text provides practical guidance for implementing nature-inspired algorithms and metaheuristics in real-life scenarios to solve complex optimization problems. It further demonstrates how nature inspired metaheuristic algorithms have the potential to contribute to multiple United Nations sustainable development goals such as climate action, clean energy, and sustainable cities. This book: Discusses load balancing and demand response using nature-inspired optimization techniques Presents energy-efficient routing and scheduling, energy management, and optimization using metaheuristic algorithms Covers disease diagnosis, and prognosis using metaheuristic algorithms, drug discovery, and development using nature-inspired optimization techniques Explains waste reduction and recycling, image processing, and computer vision using nature-inspired optimization techniques Illustrates medical image analysis and segmentation using Ant Colony optimization, and Particle Swarm optimization techniques Nature-inspired Metaheuristic Algorithms is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology. 2025 selection and editorial matter, Sulabh Bansal, Aprna Tripathi, Shilpa Srivastava and Prem Prakash Vuppuluri; individual chapters, the contributors. Publisher An entity responsible for making the resource available CRC Press Relation A related resource ISBN: 978-104034487-3; 978-103277087-1; Language A language of the resource English Type The nature or genre of the resource Book Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library