392 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 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 Generative AI and its impact on creative thinking abilities in higher education institutions Description An account of the resource Generative AI technologies such as ChatGPT have started gaining increased popularity among higher education institutions. Students, as well as teaching professionals, can utilize these tools for various academic purposes due to the immense benefits they provide by way of customization of data generated and ease of access to data. However, this chapter seeks to analyze how such tools may impact students' creative thinking ability. It also analyses the drawbacks faced by teachers after implementation of such tools. The methodology adopted for the study was two surveys: one administered to gather students' opinions and the other for understanding teachers' perspectives. The analysis of the data collected shows that the over-reliance of students on such generative AI tools might hinder students' ability to think creatively to some extent. The chapter also suggests some of the strategies that can be adopted by teachers to ensure students' capabilities are assessed accurately. 2024, IGI Global. All rights reserved. Creator An entity primarily responsible for making the resource Kaitharath M.F.; Shifna K.N.; Anuradha P.S. Source A related resource from which the described resource is derived Impacts of Generative AI on Creativity in Higher Education, pp. 141-176. 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/10.4018/979-8-3693-2418-9.ch006" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-2418-9.ch006</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207550436&doi=10.4018%2F979-8-3693-2418-9.ch006&partnerID=40&md5=b945a81f796a2fb014a8cecd074ef7d7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207550436&doi=10.4018%2f979-8-3693-2418-9.ch006&partnerID=40&md5=b945a81f796a2fb014a8cecd074ef7d7</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-836932419-6; 979-836932418-9 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kaitharath M.F., Christ University, Bangalore, India; Shifna K.N., Christ University, Bangalore, India; Anuradha P.S., Christ University, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 Nandan, C.; Yadav, Pinnika Syam Title A name given to the resource Generative AI and the Future of Cyber Threats: Building Resilient, Trustworthy Defenses 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 Rise of Explainable and Generative AIDriven Cyber and Information Security;pp.149-185 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-7852-7.ch005" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-7852-7.ch005</a> <a href="https://www.scopus.com/pages/publications/105038378924?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105038378924?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 Nandan C., Christ University, India; Yadav P.S., India Description An account of the resource Generative AI is transforming cybersecurity, introducing autonomous, adaptive threats that challenge traditional defences. Capable of producing realistic content, mimicking behaviour, and scaling deceptive attacks, GAI reshapes phishing, malware, deepfakes, and social engineering. Vulnerabilities in AI- generated code and synthetic data demand proactive, AI- driven countermeasures. This chapter explores XAIs role in transparency and trust, highlights emerging technologies for intrusion detection and predictive modelling, and emphasises ethical design, verification, and collaboration to build resilient infrastructures against next- generation intelligent cyber threats. 2026 by IGI Global Scientific Publishing. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833737854-1; 979-833737852-7; 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 Natarajan, Arul Kumar; Upreti, Kamal; Kshirsagar, Pravin R.; Tak, Tan Kuan Title A name given to the resource Generative AI for Healthcare Security: Addressing Privacy Challenges through Anomaly Detection in Healthcare Communications 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 Advances in Artificial Intelligence for Healthcare Applications;pp.60-71 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003503385-5" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003503385-5</a> <a href="https://www.scopus.com/pages/publications/105005686847?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105005686847?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 Natarajan A.K., Samarkand International University of Technology, Samarkand, Uzbekistan; Upreti K., Christ (Deemed to be University), Delhi NCR, India; Kshirsagar P.R., J D College of Engineering & Management, Maharashtra, Nagpur, India; Tak T.K., Singapore Institute of Technology, Punggol, Singapore Description An account of the resource Cybersecurity within the healthcare sector is paramount due to the sensitive nature of patient data and critical healthcare services. This chapter explores the role of Generative AI (GAI), particularly using BERT embeddings and the Isolation Forest algorithm, in enhancing cybersecurity measures. It begins by discussing the significance of cybersecurity in healthcare and the potential threats healthcare organizations face, emphasizing the need for robust security measures to protect patient data and ensure uninterrupted healthcare services. The chapter provides an overview of GAI and its applications in cybersecurity, focusing on its ability to detect anomalies in healthcare communications. A detailed case study demonstrates the practical implementation of GAI techniques for anomaly detection in healthcare emails, highlighting the effectiveness of BERT embeddings and Isolation Forest in identifying potential security breaches. Furthermore, the chapter discusses the broader implications of generative AI in healthcare cybersecurity, addressing privacy concerns and ethical considerations. The findings underscore the importance of integrating advanced AI technologies with robust privacy-preserving measures to safeguard patient data while promoting technological innovation in healthcare cybersecurity. 2025 selection and editorial matter, Anoop V.S., Suhasini Verma, Usharani Hareesh Govindarajan. Publisher An entity responsible for making the resource available CRC Press Relation A related resource ISBN: 978-104035486-5; 978-103282187-0; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Haseena, Shaik Valli; Jaswani, Neha Title A name given to the resource Generative AI for Next-Generation Recommender Systems: Architectures, Applications, and Future Directions 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 Next-Generation Recommendation Systems: A Comprehensive Guide to Enabling Technologies and Tools and their Business Benefits;pp.201-223 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1002/9781394351572.ch9" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/9781394351572.ch9</a> <a href="https://www.scopus.com/pages/publications/105038510500?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105038510500?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 Haseena S.V., Presidency College, Christ University, Bengaluru, India; Jaswani N., Presidency College, Bengaluru, India Description An account of the resource The recommender systems have become a must in delivering personalized experiences across digital platforms. Still, traditional approaches, such as collaborative and content-based filtering, suffer from some inherent limitations: data sparsity, scalability, and dynamic user adaptation. In this context, generative AI emerges as a game-changing solution empowered by state-of-the-art models like variational autoencoders (VAEs), generative adversarial networks (GANs), and transformers to overcome the above-mentioned limitations. These models make possible the synthesis of user-item interaction data, uncovering latent patterns and providing context-aware recommendations, thereby redefining personalization in recommender systems. This chapter provides a detailed survey on the role of generative AI in recommender systems, their components, architectures, and applications. Case studies in e-commerce, entertainment, and education provide insights into how generative models help drive personalization, tackle the cold-start problem, and adapt dynamically to the evolution of user behaviors. Nevertheless, open issues regarding computational complexity, privacy protection, and ethical considerations remain. To address these, the chapter outlines the future enhancements in the areas of federated learning for privacy-preserving collaboration, multimodal data integration for holistic user profiling, and explainable AI frameworks to foster transparency and trust. Bridging these gaps would let generative AI-driven recommenders further revolutionize personalization, scalability, and inclusiveness, opening up a way to innovative solutions across the board in various industries. 2026 by John Wiley & Sons Inc. All rights reserved. Subject The topic of the resource Data sparsity; Explainable AI; Federated learning; Generative adversarial networks; Generative AI; Personalization; Recommender systems; Transformers; Variational autoencoders Publisher An entity responsible for making the resource available wiley Relation A related resource ISBN: 978-139435157-2; 978-139435154-1; 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 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 Mehta, Urvish; Nagariya, Ramji Title A name given to the resource Generative AI in Action: Empirical Case Studies on Startup Innovation and Entrepreneurial Decision-Making 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 Innovative Approaches to AI-Supported Hybrid and Remote Workplaces;pp.259-286 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-7416-1.ch010" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-7416-1.ch010</a> <a href="https://www.scopus.com/pages/publications/105032593938?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105032593938?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 Mehta U., Christ University, India; Nagariya R., Christ University, India Description An account of the resource Generative artificial intelligence (AI) is quickly reshaping the world of entrepreneurship and offers startups more opportunities than ever before to innovate and make strategic decisions, as well as to operate more effectively. The chapter is a synthesis of 50 recent academic articles that critically examine how generative AI, specifically large language models and creative automation systems, is transforming the business model design process and venture execution. It discusses two significant directions, one the effect of generative AI in startup innovation of quick product ideation, bespoke customer service and scalable solutions and the other the effect that AI will have on entrepreneurial decision-making, with AI-based analytics and support systems informing resource allocation and market perspective. Based on empirical evidence and practical case studies, the chapter offers practical recommendations to successful adoption and sets the research directions in the future to allow the full implementation of the transformative abilities of generative AI in the startup world. 2026 by IGI Global Scientific Publishing. All rights reserved. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833737418-5; 979-833737416-1; 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 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 Generative AI-human collaboration in higher education: Applications, challenges, and strategies Description An account of the resource The advent of GenAI has brought about substantial progress and prospects in diverse sectors, including education. We are witnessing significant progress in this field of artificial intelligence, with the emergence of chatbots such as ChatGPT and the proliferation of remarkably realistic AI-generated graphics. Generative AI, as an emerging technology, has the potential to bring significant and transformative improvements to education. Generative AI encourages higher education institutions to embrace and utilize the potential of these technologies to enhance several aspects such as student experience, faculty workload, intellectual property, etc. This chapter has explored the application of generative AI in the context of higher education, in light of its increasing prevalence. Although generative artificial intelligence offers a great deal of promise to improve education, the technology is not entirely devoid of difficulties. The chapter also discusses challenges and strategies related to generative AI in higher education. 2024 by IGI Global. Creator An entity primarily responsible for making the resource Jha B.; Devanesan M.D.; Jha D.; Giri P. Source A related resource from which the described resource is derived Human-Machine Collaboration and Emotional Intelligence in Industry 5.0, pp. 368-385. 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/10.4018/979-8-3693-6806-0.ch020" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-6806-0.ch020</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203040795&doi=10.4018%2F979-8-3693-6806-0.ch020&partnerID=40&md5=bed4b3f8ebeb952e2869424d321c1950" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203040795&doi=10.4018%2f979-8-3693-6806-0.ch020&partnerID=40&md5=bed4b3f8ebeb952e2869424d321c1950</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-836936808-4; 979-836936806-0 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Jha B., Christ University, India; Devanesan M.D., Christ University, India; Jha D., Christ University, India; Giri P., Christ University, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 Sivathanu, Brijesh; Pillai, Rajasshrie Title A name given to the resource Generative AI: fuelling e-commerce revenue growth 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 Journal of Revenue and Pricing Management;Volume;25;Issue;1;pp.93-108 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1057/s41272-025-00554-5" target="_blank" rel="noreferrer noopener">https://doi.org/10.1057/s41272-025-00554-5</a> <a href="https://www.scopus.com/pages/publications/105012844995?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105012844995?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 Sivathanu B., School of Business and Management, Christ University, Karnataka, Bangalore, India; Pillai R., Chandragupt Institute of Management Patna, Bihar, Patna, India Description An account of the resource Generative AI (GenAI) is a novel technology that has transformed businesses across various industries. E-commerce companies are increasingly using cutting-edge technologies, such as GenAI, that could drive revenue growth. This study leverages the lens of social-technical systems and dynamic capabilities theories to examine how e-commerce companies adopt GenAI and its subsequent impact on their revenue generation capabilities. This study investigated the factors influencing the adoption of GenAI in e-commerce companies. This study considers both Social factorstop management support, organizational readiness, competitive pressure, and vendor support) and Technical factors (security concerns, technological readiness, and AI explainability). Further, it investigates how the use of GenAI affects the development of technological capabilities and leads to financial performance, particularly in sales growth, revenue generation, profitability, and cost reduction. To validate the proposed model, we surveyed e-commerce company managers and analyzed the collected data using PLS-SEM. These findings offer valuable insights for e-commerce companies and their managers, enabling them to leverage GenAI for revenue generation. This novel study makes a significant contribution to the academic understanding of GenAI adoption and how it can be adopted for successful revenue generation. The Author(s), under exclusive licence to Springer Nature Limited 2025. Subject The topic of the resource Dynamic capabilities; GenAI; PLS-SEM; Socio-technical system Publisher An entity responsible for making the resource available Palgrave Macmillan Relation A related resource ISSN: 14766930; 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 Mazumder, Paramita; Malik, Khushboo Title A name given to the resource Generative Artificial Intelligence and Academic Integrity: Transforming Authorship and Research Standards 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 Overdependence on AI in Academia;pp.179-208 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-7097-2.ch007" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-7097-2.ch007</a> <a href="https://www.scopus.com/pages/publications/105037563129?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105037563129?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 Mazumder P., Christ (Deemed to be) University, Delhi NCR, India; Malik K., Christ (Deemed to be) University, Delhi NCR, India Description An account of the resource Generative AI (GAI) is fundamentally altering the academic authorship and research ethics landscape by sourcing multiple long-held beliefs of originality, intellectual labor, and academic accountability. The rise of tools such as ChatGPT, Gemini, and Claude in the writing, analysis, and creation of knowledge creates an urgent need for Higher Education to redefine the meaning of ethical authorship. This paper seeks to examine how Generative AI has changed many of the long-standing academic traditions, highlighting dependence on technology and analyze the inconsistencies in the AI Policies at institutions of higher education worldwide. By utilizing qualitative and normative methods from deontological and virtue ethics, this study compares the policies of Harvard University and University of Cambridge and highlights the best practices for responsible use and integration of AI technologies. The chapter will also propose a human-centered, accountable, and transparent AI collaboration model that protects academic integrity while supporting continued technological advancement 2026 IGI Global Scientific Publishing. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833737099-6; 979-833737097-2; 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 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 Sudershan, Amrit; Singh, Kuljeet; Kumar, Parvinder Title A name given to the resource GeneRiskCalc: a web-based tool for genetic risk association analysis in casecontrol studies 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 BMC Bioinformatics;Volume;26;Issue;1;Article No.;213; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1186/s12859-025-06207-z" target="_blank" rel="noreferrer noopener">https://doi.org/10.1186/s12859-025-06207-z</a> <a href="https://www.scopus.com/pages/publications/105013688666?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105013688666?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 Sudershan A., Institute of Human Genetics, University of Jammu, Jammu & Kashmir, Jammu, India, Department of Human Genetics, Sri Pratap College, Cluster University Srinagar, Jammu & Kashmir, Kashmir, Srinagar, 190001, India; Singh K., Department of Computer Science, School of Sciences, Christ University, NCR, Delhi, 201003, India; Kumar P., Institute of Human Genetics, University of Jammu, Jammu & Kashmir, Jammu, India, Department of Zoology, University of Jammu, Jammu & Kashmir, Jammu, 180006, India Description An account of the resource Background: Genetic association studies play a pivotal role in identifying disease-associated variants, but researchers face challenges in performing essential calculations like HardyWeinberg equilibrium testing, odds ratios, and confidence intervals due to reliance on manual methods or multiple software tools. We aimed to develop GeneRiskCalc, an integrated web-based platform that simplifies genetic association analysis by automating HardyWeinberg equilibrium assessment, odds ratios with confidence interval calculation, and visual data presentation in casecontrol studies. Using an HTML/CSS/JavaScript framework, we developed online software with three core functionalities: (1) automated HWE evaluation, (2) odds ratio with 95% confidence interval computation with statistical validation, and (3) dynamic Forest Plot generation for data visualization. The tool was designed with an intuitive interface to minimize prerequisite statistical expertise. Results: The tool, named the Genetic Risk Association Calculator (GeneRiskCalc), demonstrated high computational accuracy in HWE testing (?2 validation) and association metrics (odds ratio and confidence interval). The results were cross-validated against established statistical methods, confirming their reliability. Furthermore, the integrated Forest Plotter enabled immediate visualization of effect sizes across multiple genetic models, facilitating a comprehensive interpretation of genetic associations. Conclusion: By integrating essential analytical steps into a single platform, the GeneRiskCalc, streamlines genetic epidemiology workflows, addressing key challenges in data analysis. Its user-friendly interface enhances accessibility, promotes reproducibility, and accelerates research in genetic association studies. The tool is freely available at GeneRiskCalc (https://sites.google.com/view/GeneRiskCalc/home?authuser=0). The Author(s) 2025. Subject The topic of the resource Casecontrol studies; Forest plot; Genetic association studies; Genetic epidemiology; HardyWeinberg equilibrium; Odds ratio Publisher An entity responsible for making the resource available BioMed Central Ltd Relation A related resource ISSN: 14712105; CODEN: BBMIC 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 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 Genetic Algorithm-Based Optimization ofUNet forBreast Cancer Classification: A Lightweight andEfficient Approach forIoT Devices Subject The topic of the resource Compression & Acceleration; Deep Learning; Genetic Algorithm; Semantic Segmentation; UNet Description An account of the resource IoT devices are widely used in medical domain for detection of high blood sugar and life threatening disease such as cancer. Breast cancer is one of the most challenging type of cancer which not only affects women but in some cases men also. Deep learning is one of the widely used technology which provides efficient classification of cancerous lumps but it is not useful for IoT devices as the devices lack resources such as storage and computation. For the suitability in IoT devices, in this work, we are compressing UNet, the popular semantic segmentation technique, for the pixel-wise classification of breast cancer. For compressing the deep learning model, we use genetic algorithm which removes the unwanted layers and hidden units in the existing UNet model. We have evaluated the proposed model and compared with the existing model(s) and found that the proposed compression technique suppresses the storage requirement to 77.1%. Additionally, it also improves the inference time by 3.82without compromising the accuracy. We conclude that the primary reason of inference time improvement is the requirement of less number of weight and bias by the proposed model. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. Creator An entity primarily responsible for making the resource Agarwal M.; Dwivedi A.K.; Gupta S.K.; Najafzadeh M.; Jindal M. Source A related resource from which the described resource is derived Communications in Computer and Information Science, Vol-2054 CCIS, pp. 386-396. 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 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-031-56703-2_31" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-56703-2_31</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190406689&doi=10.1007%2F978-3-031-56703-2_31&partnerID=40&md5=54f0a2b69450a60ed799a6e9aced10f1" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190406689&doi=10.1007%2f978-3-031-56703-2_31&partnerID=40&md5=54f0a2b69450a60ed799a6e9aced10f1</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 18650929; ISBN: 978-303156702-5 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 Agarwal M., Bennett University, Greater Noida, India; Dwivedi A.K., Bennett University, Greater Noida, India; Gupta S.K., Bennett University, Greater Noida, India; Najafzadeh M., Department of Water Engineering, Graduate University of Advanced Technology, Kerman, Iran; Jindal M., CHRIST (Deemed to be University), Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 Genetic Algorithms for Graph Theoretic Problems Description An account of the resource [No abstract available] Creator An entity primarily responsible for making the resource Chelladurai X.; Kureethara J.V. Source A related resource from which the described resource is derived Bio-Inspired Computational Paradigms: Security and Privacy in Dynamic Smart Networks, pp. 36-63. Publisher An entity responsible for making the resource available CRC Press Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003248545-3" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003248545-3</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198303723&doi=10.1201%2F9781003248545-3&partnerID=40&md5=19cf6358d544ba2dde75b663d82d248b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198303723&doi=10.1201%2f9781003248545-3&partnerID=40&md5=19cf6358d544ba2dde75b663d82d248b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-104004450-6; 978-103216429-8 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 Chelladurai X., Christ University, Bangalore, India; Kureethara J.V., Christ University, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Genetic Algorithms for Wireless Network Security Description An account of the resource [No abstract available] Creator An entity primarily responsible for making the resource Vijayalakshmi S.; Savita Source A related resource from which the described resource is derived Bio-Inspired Computational Paradigms: Security and Privacy in Dynamic Smart Networks, pp. 150-164. Publisher An entity responsible for making the resource available CRC Press Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003248545-10" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003248545-10</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198273758&doi=10.1201%2F9781003248545-10&partnerID=40&md5=42c1ef76bb2abdbab9955086dce3acaf" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198273758&doi=10.1201%2f9781003248545-10&partnerID=40&md5=42c1ef76bb2abdbab9955086dce3acaf</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-104004450-6; 978-103216429-8 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 Vijayalakshmi S., Christ University, Pune, India; Savita, Galgotias University, Greater Noida, 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 Genetic and cytogenetic screening of autistic spectrum disorder: Genotype-phenotype profiles Subject The topic of the resource Autism; DSM IV-TR; FISH analysis; Karyotyping; NRXN1gene Description An account of the resource Autism, a pervasive developmental disorder typically characterized by repetitive behaviour, social skills deficit (or a deficit in social communication), speech and language impairments. Our prime focus is to analyze the clinical features and phenotypical behavioural changes using the diagnostic and statistical manual of mental disorders, fourth edition, text revision (DSM IV-TR), and locating the biomarkers associated with specific autistic characters using karyotyping and fluorescence in situ hybridization (FISH) techniques. The prevalence rate of the neurexin 1 (NRXN1) gene polymorphism was also assessed in the current study. The study group involved 196 samples with 98 autistics, and equal age-matched (2) controls based on their birth order and carrier. The participants include 35.2% males (n = 69) and 14.8% females (n = 29). The autistic and control participants were categorized based on their ages as group I (<12 yrs) with n = 62; males n = 41 (20.9%); females n = 21 (10.7%) and group II (?12 yrs)-n = 36; males n = 28 (14.2%); females n = 08 (4.08%). Karyotyping was done for autism participants (n = 98) and the results showed that 90% of autistic participants were either the only child or the first child with a low perception and frequency in both the groups. Subsequently, we carried out the FISH assay on participants (n = 37) with higher DSM-IV TR score (?30). Only 30 FISH tests were negative for subtelomeric deletions with NRXN1 polymorphism genotypic frequency as 62.50%, 25% and 25% for A/A, A/G and G/G genotype respectively. Our study suggests the link between a haplotype with clinical signs of autism for the single nucleotide sequence (SNP rs9636391) and links autistic characters and gene among autistic children according to their birth order, age and gender in India. 2021 Elsevier B.V. Creator An entity primarily responsible for making the resource Meyyazhagan A.; Balasubramanian B.; Bhotla H.K.; Easwaran M.; Shanmugam S.; Alagamuthu K.K.; Arumugam V.A.; Keshavarao S.; Pappusamy M. Source A related resource from which the described resource is derived Meta Gene, Vol-29 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 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.mgene.2021.100924" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.mgene.2021.100924</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85106518982&doi=10.1016%2Fj.mgene.2021.100924&partnerID=40&md5=cd162d5c491763a5480e9f2950132b82" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85106518982&doi=10.1016%2fj.mgene.2021.100924&partnerID=40&md5=cd162d5c491763a5480e9f2950132b82</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 22145400 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 Meyyazhagan A., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore, 560029, India, Human Genetics Laboratory, Department of Zoology, School of Life Sciences, Bharathiar University, 641046, Tamil Nadu, India; Balasubramanian B., Human Genetics Laboratory, Department of Zoology, School of Life Sciences, Bharathiar University, 641046, Tamil Nadu, India, Department of Food Science and Biotechnology, College of Life Science, Sejong University, Seoul, 05006, South Korea; Bhotla H.K., Human Genetics Laboratory, Department of Zoology, School of Life Sciences, Bharathiar University, 641046, Tamil Nadu, India; Easwaran M., Nutritional Improvement of Crops, International Centre for Genetic Engineering and Biotechnology, New Delhi, 110067, India; Shanmugam S., Human Genetics Laboratory, Department of Zoology, School of Life Sciences, Bharathiar University, 641046, Tamil Nadu, India, Department of Animal Resource and Science, Dankook University, Cheonan, 31116, South Korea; Alagamuthu K.K., Human Genetics Laboratory, Department of Zoology, School of Life Sciences, Bharathiar University, 641046, Tamil Nadu, India, Jiangsu Key Laboratory for Molecular and Medical Biotechnology, College of Life Science, Nanjing Normal University, Nanjing, 210023, China; Arumugam V.A., Medical Genetics and Epigenetics Laboratory, Department of Human Genetics and Molecular Biology, Bharathiar University, Coimbatore, 641046, Tamil Nadu, India; Keshavarao S., Human Genetics Laboratory, Department of Zoology, School of Life Sciences, Bharathiar University, 641046, Tamil Nadu, India; Pappusamy M., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore, 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 Reviews Review Faculty Publications- Reviews 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 Genetic causes of male infertility and emerging potential of stem cell therapeutics Subject The topic of the resource Genetic causes; Male infertility; Spermatogenesis; Stem cells Description An account of the resource Infertility has haunted mankind from ancient times. In 40 to 50% of the cases resulting in failure to conceive, the cause can be attributed to male infertility. The rates of infertility have risen in the past few decades among both among men and women. The reasons can be attributed to life style changes and environmental pollution apart from genetic causes. Scientists have found out few possible causes of male infertility and there are few treatment measures currently being carried out. The success of these depends on the primary cause of the infertility problem. In the past few decades, a number of genes playing roles in different stages of sperm development and differentiation were functionally analysed. This knowledge coupled with the advancements in stem cell technology and in vitro gametogenesis has led to new frontiers in possible therapeutic measures of male infertility, especially those with genetic causes. The present study focuses on the causes and treatment of male infertility focussing mainly on important genetic regulations and emerging stem cell-based therapeutics. 2021 World Research Association. All rights reserved. Creator An entity primarily responsible for making the resource Suma S.; Rashmi A. Source A related resource from which the described resource is derived Research Journal of Biotechnology, Vol-16, No. 6, pp. 183-189. Publisher An entity responsible for making the resource available World Research Association 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="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85109095780&partnerID=40&md5=7515d0b31c1a5245f67bcfe4c83c200e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85109095780&partnerID=40&md5=7515d0b31c1a5245f67bcfe4c83c200e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9736263 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 Review Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Suma S., Department of Life Sciences, CHRIST (Deemed to Be University), Bengaluru, 560029, India; Rashmi A., Department of Life Sciences, CHRIST (Deemed to Be University), Bengaluru, 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 Genetic correlates of the development of theta event related oscillationsin adolescents and young adults Subject The topic of the resource Adolescent; Development; ERO; KCNJ6; P3; Theta Description An account of the resource The developmental trajectories of theta band (47Hz) event-related oscillations (EROs), a key neurophysiological constituent of the P3 response, were assessed in 2170 adolescents and young adults ages 12 to 25. The theta EROs occurring in the P3 response, important indicators of neurocognitive function, were elicited during the evaluation of task-relevant target stimuli in visual and auditory oddball tasks. Associations between the theta EROs and genotypic variants of 4 KCNJ6 single nucleotide polymorphisms (SNPs) were found to vary with age, sex, scalp location, and task modality. Three of the four KCNJ6 SNPs studied here were found to be significantly associated with the same theta EROs in adults in a previous family genome wide association study. Since measures of the P3 response have been found to be a useful endophenotypes for the study of a number of clinical and behavioral disorders, studies of genetic effects on its development in adolescents and young adults may illuminate neurophysiological factors contributing to the onset of these conditions. 2016 Elsevier B.V. Creator An entity primarily responsible for making the resource Chorlian D.B.; Rangaswamy M.; Manz N.; Meyers J.L.; Kang S.J.; Kamarajan C.; Pandey A.K.; Wang J.-C.; Wetherill L.; Edenberg H.; Porjesz B. Source A related resource from which the described resource is derived International Journal of Psychophysiology, Vol-115, pp. 24-39. 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 2017-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.ijpsycho.2016.11.007" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.ijpsycho.2016.11.007</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85007418188&doi=10.1016%2Fj.ijpsycho.2016.11.007&partnerID=40&md5=7e34e9dfc9f5bf36220a648b4ae20980" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85007418188&doi=10.1016%2fj.ijpsycho.2016.11.007&partnerID=40&md5=7e34e9dfc9f5bf36220a648b4ae20980</a> Rights Information about rights held in and over the resource All Open Access; Green Open Access Relation A related resource ISSN: 1678760; PubMed ID: 27847216; CODEN: IJPSE 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 Chorlian D.B., Henri Begleiter Neurodynamics Laboratory, SUNY Downstate Medical Center, Department of Psychiatry, Brooklyn, NY, United States; Rangaswamy M., Department of Psychology, Christ University, Bangalore, India; Manz N., Department of Physics, College of Wooster, Wooster, OH, United States; Meyers J.L., Henri Begleiter Neurodynamics Laboratory, SUNY Downstate Medical Center, Department of Psychiatry, Brooklyn, NY, United States; Kang S.J., Stratton VA Medical Center, Albany, NY, United States; Kamarajan C., Henri Begleiter Neurodynamics Laboratory, SUNY Downstate Medical Center, Department of Psychiatry, Brooklyn, NY, United States; Pandey A.K., Henri Begleiter Neurodynamics Laboratory, SUNY Downstate Medical Center, Department of Psychiatry, Brooklyn, NY, United States; Wang J.-C., Mount Sinai School of Medicine, New York, NY, United States; Wetherill L., Indiana University School of Medicine, Indianapolis, IN, United States; Edenberg H., Indiana University School of Medicine, Indianapolis, IN, United States; Porjesz B., Henri Begleiter Neurodynamics Laboratory, SUNY Downstate Medical Center, Department of Psychiatry, Brooklyn, NY, United States 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 Genetic Diversity of Garcinia gummi-gutta and Sustainable Utilization Description An account of the resource The chapter discusses the consequences of using Garcinia gummi-gutta, often known as Malabar Tamarind, sustainably while diving into the complex web of genetic variation inside the crop. Giving a thorough overview, the chapter starts by detailing the botanical and genetic traits of this enigmatic species, revealing the morphological quirks and genetic differences that make it distinct. Examining the range and preferred habitats helps to highlight the ecological niches that are essential to its existence. It delves intently into the complex web of phytochemicals found in various plant parts and explains their range of biological functions. A crucial component of this study is a thorough examination of the techniques used to gauge the genetic diversity of populations of G. gummi-gutta. The assessment of G. gummi-gutta's conservation status indicates that threats to the species genetic richness need to be taken seriously and quickly addressed. The difficulties in attaining sustainable use are examined in detail, offering a comprehensive grasp of the nuances related to overexploitation and conservation initiatives. This study of G. gummi-gutta offers evidence of the complex interplay in the field of botanical resources between genetic diversity, conservation, and sustainable use. 2025 Hosakatte Niranjana Murthy. Creator An entity primarily responsible for making the resource Scaria S.S.; Joseph K.S.; Dandin V.S.; Shameer P.S. Source A related resource from which the described resource is derived Genetic Diversity of Fruits and Nuts: Sustainable Utilization, pp. 146-158. Publisher An entity responsible for making the resource available CRC Press Date A point or period of time associated with an event in the lifecycle of the resource 2025-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003492207-9" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003492207-9</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215544602&doi=10.1201%2F9781003492207-9&partnerID=40&md5=02b13f0222edde6889248fb4ad565d10" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215544602&doi=10.1201%2f9781003492207-9&partnerID=40&md5=02b13f0222edde6889248fb4ad565d10</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-104031239-1; 978-103277911-9 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Scaria S.S., Department of Life Science, School of Sciences, Christ University, Bangalore, 560029, India; Joseph K.S., Department of Life Science, School of Sciences, Christ University, Bangalore, 560029, India; Dandin V.S., Department of Biology, JSS RSH PU College, Dharwad, 580004, India; Shameer P.S., ICAR- Central Tuber Crops Research Institute, Sreekariyam, Kerala, Thiruvananthapuram, 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 Scaria, Shilpa Susan; Joseph, Kadanthottu Sebastian; Dandin, Vijayalaxmi S.; Shameer, P.S. Title A name given to the resource Genetic Diversity of Garcinia gummi-gutta and Sustainable Utilization 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 Genetic Diversity of Fruits and Nuts: Sustainable Utilization;pp.146-158 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003492207-9" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003492207-9</a> <a href="https://www.scopus.com/pages/publications/85215544602?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85215544602?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 Scaria S.S., Department of Life Science, School of Sciences, Christ University, Bangalore, 560029, India; Joseph K.S., Department of Life Science, School of Sciences, Christ University, Bangalore, 560029, India; Dandin V.S., Department of Biology, JSS RSH PU College, Dharwad, 580004, India; Shameer P.S., ICAR- Central Tuber Crops Research Institute, Sreekariyam, Kerala, Thiruvananthapuram, India Description An account of the resource The chapter discusses the consequences of using Garcinia gummi-gutta, often known as Malabar Tamarind, sustainably while diving into the complex web of genetic variation inside the crop. Giving a thorough overview, the chapter starts by detailing the botanical and genetic traits of this enigmatic species, revealing the morphological quirks and genetic differences that make it distinct. Examining the range and preferred habitats helps to highlight the ecological niches that are essential to its existence. It delves intently into the complex web of phytochemicals found in various plant parts and explains their range of biological functions. A crucial component of this study is a thorough examination of the techniques used to gauge the genetic diversity of populations of G. gummi-gutta. The assessment of G. gummi-gutta's conservation status indicates that threats to the species genetic richness need to be taken seriously and quickly addressed. The difficulties in attaining sustainable use are examined in detail, offering a comprehensive grasp of the nuances related to overexploitation and conservation initiatives. This study of G. gummi-gutta offers evidence of the complex interplay in the field of botanical resources between genetic diversity, conservation, and sustainable use. 2025 Hosakatte Niranjana Murthy. Publisher An entity responsible for making the resource available CRC Press Relation A related resource ISBN: 978-104031239-1; 978-103277911-9; 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 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 Genetic Modification of Enzymes for Biomass Hydrolysis Description An account of the resource Lignocellulose biomass is an economically viable and most abundant energy source. The synthesis of renewable energy-based fuel from lignocellulosic biomass is a replacement for fossil fuel. Cellulases are the biocatalysts that hydrolyze the ?-1,4-glycosidic bond in cellulose to release carbohydrate moieties that can be converted to ethanol, butanol, and other compounds. However, little enzymatic activity and product yield, and thermal stability are hurdles in the deconstruction of lignocellulose. Current progress in synthetic and omics technologies has resulted in several works in metabolic and genetic engineering that have paved the way for efficient conversion of lignocellulose to fuel in the last decades. Several works have attempted to apply genetic and metabolic engineering in the synthesis of stable and highly active cellulases at lower cost. This chapter reviews various genetic engineering technologies for enhancing cellulase synthesis and catalytic efficiency. 2024 selection and editorial matter, Reeta Rani Singhania, Anil Kumar Patel, Htor A. Ruiz, Ashok Pandey; individual chapters, the contributors. Creator An entity primarily responsible for making the resource Madhavan A.; Arun K.B.; Nair B.G.; Singhania R.R.; Raveendran S.; Awasthi M.K.; Pandey A.; Binod P. Source A related resource from which the described resource is derived Biomass Hydrolyzing Enzymes: Basics, Advancements, and Applications, pp. 101-111. Publisher An entity responsible for making the resource available CRC Press Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003335313-10" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003335313-10</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192287016&doi=10.1201%2F9781003335313-10&partnerID=40&md5=29a31d467c43b02dc4956fdb040f228d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192287016&doi=10.1201%2f9781003335313-10&partnerID=40&md5=29a31d467c43b02dc4956fdb040f228d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-100385182-0; 978-103237097-2 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource 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 Madhavan A., School of Biotechnology, Amrita Vishwa Vidyapeetham, Kerala, Kollam, India; Arun K.B., Department of Life Sciences, Christ (Deemed to be University), Karnataka, Bengaluru, India; Nair B.G., School of Biotechnology, Amrita Vishwa Vidyapeetham, Kerala, Kollam, India; Singhania R.R., Institute of Aquatic Science and Technology, National Kaohsiung University of Science and Technology, Kaohsiung City, Taiwan, Centre for Energy and Environmental Sustainability, Uttar Pradesh, Lucknow, India; Raveendran S., Department of Food Technology, T K M Institute of Technology, Kerala, Kollam, India; Awasthi M.K., College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi Province, China; Pandey A., Centre for Energy and Environmental Sustainability, Uttar Pradesh, Lucknow, India, Centre for Innovation and Translational Research, CSIR-Indian Institute of Toxicology Research, Uttar Pradesh, Lucknow, India, Kyung Hee University, Seoul, South Korea, School of Engineering, University of Petroleum and Energy Studies, Dehradun, India; Binod P., Microbial Processes and Technology Division, CSIR-National Institute for Interdisciplinary Science and Technology, Kerala, Thiruvananthapuram, 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 Reviews Review Faculty Publications- Reviews 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 Genetically modified foods: bibliometric analysis on consumer perception and preference Subject The topic of the resource Bibliometric analysis; consumer perception; consumer preferences; future research thrust; GM food; GMOs; industry implications; policy imperatives Description An account of the resource In this study, we present the bibliometric trends emerging from research outputs on consumer perception and preference for genetically modified (GM) foods and policy prescriptions for enabling the consumption using VOSviewer visualization software. Consumers positive response is largely influenced by the decision of the governments to ban or approve the GM crops cultivation. Similarly, the public support increases when the potential benefits of the technology are well articulated, consumption increases with a price discount, peoples trust on the government and belief in science increases with a positive influence by the media. Europe and the USA are the first region and country, respectively, in terms of the number of active institutions per research output, per-capita GDP publication and citations. We suggest research-, agri-food industries-, and society-oriented policies to be implemented by the stakeholders to ensure the safety of GM foods, encourage consumer-based studies, and increase public awareness toward these food products. 2022 The Author(s). Published with license by Taylor & Francis Group, LLC. Creator An entity primarily responsible for making the resource Sendhil R.; Nyika J.; Yadav S.; Mackolil J.; Rama Prashat G.; Workie E.; Ragupathy R.; Ramasundaram P. Source A related resource from which the described resource is derived GM Crops and Food, Vol-13, No. 1, pp. 65-85. Publisher An entity responsible for making the resource available Taylor and Francis Ltd. 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/10.1080/21645698.2022.2038525" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/21645698.2022.2038525</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127905615&doi=10.1080%2F21645698.2022.2038525&partnerID=40&md5=f89eb8cc3356ad9426fc465167da891a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127905615&doi=10.1080%2f21645698.2022.2038525&partnerID=40&md5=f89eb8cc3356ad9426fc465167da891a</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 21645698; PubMed ID: 35400312 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 Review Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sendhil R., ICAR-Indian Institute of Wheat and Barley Research, Karnal, India; Nyika J., Technical University of Kenya, Nairobi, Kenya; Yadav S., ICAR-National Bureau of Plant Genetic Resources, New Delhi, India; Mackolil J., CHRIST (Deemed to be University), Bangalore, India; Rama Prashat G., ICAR-Indian Agricultural Research Institute, New Delhi, India; Workie E., School of Environmental science and Engineering, Shanghai Jiao Tong University, Shanghai, China; Ragupathy R., Lethbridge Research and Development Centre, Agriculture Agri Food Canada, AB, Canada; Ramasundaram P., National Agricultural Higher Education Project, Indian Council of Agricultural Research, New Delhi, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 Vikash Krishna, R.; Sundharess, B.; Sudhakar, T.; Donald, Cecil; Joy, Helen K.; Shanthan, Hubert Title A name given to the resource Genetically Optimized GAT Recommender 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 2025 IEEE International Conference on Electronics, Computing and Communication Technologies, CONECCT 2025; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/CONECCT65861.2025.11306790" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/CONECCT65861.2025.11306790</a> <a href="https://www.scopus.com/pages/publications/105032700431?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105032700431?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 Vikash Krishna R., Christ University, Department of Computer Science, Bangalore, India; Sundharess B., Christ University, Department of Computer Science, Bangalore, India; Sudhakar T., Christ University, Department of Computer Science, Bangalore, India; Donald C., Christ University, Department of Computer Science, Bangalore, India; Joy H.K., Christ University, Department of Computer Science, Bangalore, India; Shanthan H., Christ University, Department of Computer Science, Bangalore, India Description An account of the resource In the digital era of business growth in areas such as e-commerce, online food tech, Health tech, Edutech, etc., A significant issue encountered by businesses to customers (B2C) companies is the recommendation of products, particularly for cold start users. The research proposes a recommendation system using Graph Attention(GAT)-based architecture with a genetically optimized clustering algorithm, which solves the general and cold start users problem in a recommendation. In order to solve the general recommendation problems, the proposed architecture is applied to a benchmark dataset from Amazon, with a recommendation accuracy of 99% and for cold start users, the Proposed model will add an extra layer of personalization as a survey will be included during the registration process of the user. The dataset for the survey was collected using Google Forms, and the dataset comprises five primary attributes: name, gender, user type, interested domains, interested products of new users, and recommended products of old users. A clustering analysis was performed on the dataset, and DBscan was used with genetic optimization as it outmatched other clustering algorithms. Then, transfer learning was applied to the survey collected with the same architecture, and it achieved an accuracy of 79.52% with an MSE loss of 0.0664. 2025 IEEE. Subject The topic of the resource Clustering; Cold-start problem; GNN; Recommendation System; User experience; User profiling Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833150236-2; 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