406 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 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 Smart songs selection in playlists using parallel k-means clustering Subject The topic of the resource Hadoop; Parallel K-means clustering; Pitch; Tempo; Variation Description An account of the resource Most songs today are of different tempo, pitch and time signature. In a music player application, the typical shuffle picks the succeeding song or preceding song at random with no parameters to choose the songs. Different songs from different genres can have a tempo range anywhere between forty beats per minute and three hundred beats per minute. In this paper, the quick and efficient parallel k means clustering algorithm is implemented in Hadoop on the million-song dataset subset to form clusters for the songs based on tempo and pitch. The aim of this paper is to reduce the variation that occurs when a typical shuffle picks the succeeding song at random. This variation can be in the form of tempo or other parameters. The formation of clusters and intern the reduction in the variation of tempo can be used in a new 'smart shuffle'. After the clusters have been formed, the smart shuffle picks the songs within that specific cluster. This paper aims at reducing the variation by 50%. This would have many musical benefits and would also be more pleasing to the listener. 2018 IAEME Publication. Creator An entity primarily responsible for making the resource Manoj P.; Saleema J.S. Source A related resource from which the described resource is derived International Journal of Civil Engineering and Technology, Vol-9, No. 3, pp. 778-788. Publisher An entity responsible for making the resource available IAEME Publication Date A point or period of time associated with an event in the lifecycle of the resource 2018-01-01 Identifier An unambiguous reference to the resource within a given context <a href="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044778264&partnerID=40&md5=fdd4c338f9105f1065d0e4d3c5180e86" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044778264&partnerID=40&md5=fdd4c338f9105f1065d0e4d3c5180e86</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9766308 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 Manoj P., Department of Computer Science, Christ Deemed to Be University, Hosur Road, Bhavani Nagar, Bengaluru, Karnataka, 560029, India; Saleema J.S., Department of Computer Science, Christ Deemed to Be University, Hosur Road, Bhavani Nagar, Bengaluru, Karnataka, 560029, India https://archives.christuniversity.in/files/original/5698e9e268e5d27cd78b6dbc184fa08d.jpg 717c6cecd759a2c25a43a930ebffc8cf 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 Synthesis and characterization of porous, mixed phase, wrinkled, few layer graphene like nanocarbon from charcoal / Subject The topic of the resource Physics Description An account of the resource Russian Journal Of Physical Chemistry A, Vol.89, Issue 13, pp.2438-2442, ISSN No: 0036-0244. Creator An entity primarily responsible for making the resource Manoj, B. Source A related resource from which the described resource is derived <a href="https://link.springer.com/article/10.1134/S0036024415130257" target="_blank" title="Synthesis and characterization of porous, mixed phase, wrinkled, few layer graphene like nanocarbon from charcoal" rel="noreferrer noopener">https://link.springer.com/article/10.1134/S0036024415130257</a> Publisher An entity responsible for making the resource available Pleiades Publishing Date A point or period of time associated with an event in the lifecycle of the resource 2015-02-10 Language A language of the resource English Type The nature or genre of the resource Journal Article https://archives.christuniversity.in/files/original/bae9e0da70084514a26dbaaaff3ed6e3.png f4e646cc3be4d08b3c3cbda792690fc3 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 Export performance of Indian textile industry in the post multi fibre agreement regime / Subject The topic of the resource Indian Textile Industry - Export Performance Description An account of the resource Artha Journal Of Social Science, Vol.13, Issue 4, pp.63-86, ISSN No: 0975-329X. Creator An entity primarily responsible for making the resource Manoj, Greeshma. Source A related resource from which the described resource is derived <a href="https://journals.christuniversity.in/index.php/artha/article/view/683" target="_blank" title="Export performance of Indian textile industry in the post multi fibre agreement regime" rel="noreferrer noopener">https://journals.christuniversity.in/index.php/artha/article/view/683</a> Publisher An entity responsible for making the resource available Christ University Date A point or period of time associated with an event in the lifecycle of the resource 2015-02-10 Language A language of the resource English Type The nature or genre of the resource Journal Article 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 Manoj, Manjeera; Yamini, Kotapati; Pranathi, Dampetla Sai; Jayapandian, N. Title A name given to the resource Machine Learning-Based Classical Dance Mudra Recognition Model Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems;Volume;1278;pp.93-104 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-96-2703-5_8" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-96-2703-5_8</a> <a href="https://www.scopus.com/pages/publications/105006934242?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105006934242?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 Manoj M., Department of Computer Science and Engineering, Christ (Deemed to be University), Kengeri Campus, Bangalore, India; Yamini K., Department of Computer Science and Engineering, Christ (Deemed to be University), Kengeri Campus, Bangalore, India; Pranathi D.S., Department of Computer Science and Engineering, Christ (Deemed to be University), Kengeri Campus, Bangalore, India; Jayapandian N., Department of Computer Science and Engineering, Christ (Deemed to be University), Kengeri Campus, Bangalore, India Description An account of the resource In this research, symbolic hand mudras of the Indian traditional dance style of Bharatanatyam are recognized and categorized using deep learning techniques. The three main goals are establishing baseline datasets to identify and categorize hasta mudras, designing an automated tutoring program for prospective students, and constructing a system for recommending videos that support cultural heritage. The research achieves a real-time recognition accuracy of 85% to 95% using convolutional neural networks (CNNs) and the Mobile Net architecture. This activity greatly aids virtual learning during pandemics, worldwide cultural relations, and preserving intangible cultural assets. The three main goals of this research are to establish baseline datasets for accurate mudra identification, create an automated tutoring program for participants, and build a video recommendation system to promote cultural heritage globally. The benchmark datasets that are used to train the models are made up of high-quality photos and videos of mudras that are taken and annotated under the direction of experts. While the video recommendation system supports attempts to preserve culture and advance education, the automated tutoring system provides participants with a comprehensive virtual learning environment and tailored feedback. To ensure the survival and continued appreciation of Bharatanatyam around the world, our endeavor substantially enhances virtual education, deep learning, and cultural preservation. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. Subject The topic of the resource Artificial neural network; Bharatanatyam; Convolutional neural networks; Hidden Markov models; Traditional dance Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 23673370; ISBN: 978-981962702-8; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Manoj, Meby Joseph; Azarudheen, A. Title A name given to the resource Analysis of skip-lot sampling plan of Type 3 with multiple reference criteria 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 Communications for Statistical Applications and Methods;Volume;33;Issue;2;pp.263-275 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.29220/CSAM.2026.33.2.263" target="_blank" rel="noreferrer noopener">https://doi.org/10.29220/CSAM.2026.33.2.263</a> <a href="https://www.scopus.com/pages/publications/105034936373?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105034936373?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 Manoj M.J., Department of Statistics & Data Science, CHRIST (Deemed to be University), India; Azarudheen A., Department of Statistics & Data Science, CHRIST (Deemed to be University), India Description An account of the resource In the modern quality control segment, the skip-lot sampling plan is still significant among all others plans due to rising production volumes and the demand for cost-effective inspection methods that will yield high-quality outputs. Unlike other sampling plans, while inspecting a submitted lot, a skip-lot plan is economically advantageous and ensures high quality. The skip-lot sampling plan utilizes single sampling plan (SSP) or double sampling plan (DSP) as the reference plan during both normal and skipping inspections. However, using these plans as the reference can lead to bias, favouring either the producer or the consumer. In this paper, a novel approach is illustrated where the skip-lot sampling plan of type 3 is having the provision of two different reference plans in the normal and skipping phases. The proposed plan is termed as the Multi-Reference Skip-lot Sampling Plan of type 3 (MR-SkSP-3). The plan is then compared with the help of performance measures such as operational characteristic (OC) function and average sample number (ASN). The comparison is done between the proposed plan and existing skip-lot sampling plans which use single sampling plan or double sampling plan as reference plan in both inspection phases. The comparison is made based on performance measures with graphical and tabulated illustrations. The comparative analysis proves that the proposed plan successfully balances the satisfaction of both producers and consumers. By leveraging the strengths of conventional skip-lot sampling plans that use single reference plans, it achieves superior performance. 2026 The Korean Statistical Society, and Korean International Statistical Society. All rights reserved. Subject The topic of the resource acceptance sampling plan; average sample number; operating characteristic curve; quality control; skip-lot sampling plan Publisher An entity responsible for making the resource available Korean Statistical Society Relation A related resource ISSN: 22877843; 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 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 Manoj, Meby Joseph; Azarudheen, S. Title A name given to the resource MULTI REFERENCE SKIP-LOT SAMPLING PLAN 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 Reliability: Theory and Applications;Volume;20;Issue;2;pp.447-455 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.24412/1932-2321-2025-284-447-455" target="_blank" rel="noreferrer noopener">https://doi.org/10.24412/1932-2321-2025-284-447-455</a> <a href="https://www.scopus.com/pages/publications/105010325797?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105010325797?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 Manoj M.J., Department of Statistics and Data Science CHRIST (Deemed to be University), Bengaluru, India; Azarudheen S., Department of Statistics and Data Science CHRIST (Deemed to be University), Bengaluru, India Description An account of the resource Skip-lot sampling plans have become significant in modern quality control due to rising production volumes and the demand for cost-effective inspection methods that will yield high-quality outputs. When inspecting a submitted lot, a skip-lot plan is economically favourable and guarantees high quality. Thus, this approach benefits both producers and consumers. The skip-lot sampling plan generally utilizes the same sampling plan as the reference plans for both skipping and normal inspection. However, using the same plan in both phase favours either the producer or the consumer in the most essential situations. This article introduces a novel approach, the Multi Reference Skip-Lot Sampling Plan with the provision of having two different reference plans in the normal and skipping phases of the skip-lot plan. The paper explores the efficacy of this approach by deriving performance measures using a power series approach. To evaluate the proposed plan, a comparison is made with existing skip-lot sampling plans that use single sampling plans or double sampling plans as reference plans. This comparison is based on operational characteristics and average sample number values, accompanied by graphical representations. The comparative analysis demonstrates that the new plan effectively balances the satisfaction of both producers and consumers. Additionally, the study offers a strategy for selecting the plan parameters using the unity value approach, supported by a table providing unity values. 2025, Gnedenko Forum. All rights reserved. Subject The topic of the resource acceptance sampling plan; average sample number; operational characteristic function; Quality control; skip-lot sampling plan Publisher An entity responsible for making the resource available Gnedenko Forum Relation A related resource ISSN: 19322321; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Manoj, Meby Joseph; Azarudheen, S. Title A name given to the resource MULTI-REFERENCE SKIP-LOT SAMPLING OF TYPE 3 (MR-SkSP-3) 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 Reliability: Theory and Applications;Volume;20;Issue;3;pp.473-484 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105018079801?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105018079801?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 Manoj M.J., Department of Statistics and Data Science CHRIST (Deemed to be University), Bengaluru, India; Azarudheen S., Department of Statistics and Data Science CHRIST (Deemed to be University), Bengaluru, India Description An account of the resource In the current industrial sector, the rate of defective products present in the lots has been decreasing and most of the products keeps up a good history of quality throughout the production also. Skip-lot sampling plans are the suitable acceptance sampling plan for the situations where the series of products shows a stable and excellent quality. The skip-lot sampling plans are still widely used because of its reduced sampling cost and efforts, because the plan only needs to inspect a fraction of the lots submitted after a continues series of lots with excellent quality. This approach makes the skip-lot plan more cost-effective than the other sampling plans, thus making it an economically important plan. The current study incorporated a modification on the skip-lot sampling of type 3 and designated it as multi-reference skip lot sampling of type 3. The proposed plan has the provision of having multiple reference plans in normal and skipping inspection of a skip-lot sampling plan, unlike the traditional skip-lot plans which has the same reference plan in all phases. The performance measures of the proposed plan are derived using the power series approach. A designing methodology to determine the optimal parameters for the plan using the unity value approach is also described with the help of a numerical illustration. Behaviour of the operating characteristic curves for varying set of parameters are also analysed for the plan. Comparison of the proposed plan is done between the conventional plans using performance measure values and graphical representations. This analysis shows that the new plan is able to effectively optimize the preferences of producer and consumer simultaneously, where the traditional plans fail to. The analysis is supported with the help of graphical representations and tabulated values. 2025, Gnedenko Forum. All rights reserved. Subject The topic of the resource acceptance sampling plan; consumers risk; operating characteristic curve; producers risk; Quality control; skip-lot sampling plan; unity value approach Publisher An entity responsible for making the resource available Gnedenko Forum Relation A related resource ISSN: 19322321; 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 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 Manoj, R. Karthick; Senthilnathan, S.; Selvi, S. Arunmozhi; Kumar, T. Ananth; Balamurugan, S. Title A name given to the resource AI Trust, Risk, and Security Management: Framework, Principles, and Practices 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 AI Trust, Risk, and Security Management: Framework, Principles, and Practices;pp.1-377 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1002/9781394393022" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/9781394393022</a> <a href="https://www.scopus.com/pages/publications/105032868588?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105032868588?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 Manoj R.K., Department of Electrical and Electronics Engineering, Academy of Maritime Education and Training, Deemed to be University, Tamil Nadu, India; Senthilnathan S., Department of Electronics and Communication Engineering, School of Engineering and Technology, Christ University, Bangalore, India; Selvi S.A., Computer Science and Engineering, Holy Cross Engineering College, Tamil Nadu, India; Kumar T.A., Computer Science and Engineering, IFET College of Engineering (Autonomous), Tamil Nadu, India; Balamurugan S., iRCS, an Indian Technological Research & Consulting Firm, Coimbatore, Tamil Nadu, Coimbatorex, India Description An account of the resource For industry practitioners, academic researchers, and governance professionals alike, this book offers both clarity and depth in one of the most important domains of modern technology. As AI matures, trust and risk management will define its success-and this book lays the groundwork for achieving that vision. As AI continues to permeate sectors ranging from healthcare to finance, ensuring that these systems are not only powerful but also accountable, transparent, and secure, is more critical than ever. This book offers a vital exploration into the intersection of trustworthiness, risk mitigation, and security governance in artificial intelligence systems, serving as a definitive guide for professionals, researchers, and policymakers striving to build, deploy, and manage AI responsibly in high-stakes environments. Using a comprehensive approach, it explores how to integrate technical safeguards, organizational practices, and regulatory alignment to manage the unique risks posed by AI, including algorithmic bias, data misuse, adversarial attacks, and opaque decision-making. The result is a strategic approach that not only identifies vulnerabilities, but also promotes resilient, auditable, and trustworthy AI ecosystems. At its core, AI TRiSM is a forward-looking concept that embraces the realities of AI in production environments. The framework moves beyond traditional static models of governance to propose dynamic, adaptive controls that evolve alongside AI systems. Through real-world case studies, the book outlines how tools like model cards, bias audits, and zero-trust architectures can be embedded into the AI development lifecycle. Readers will find the volume: Introduces concepts to stay ahead of regulations and build trustworthy AI systems that customers and stakeholders can rely on; Addresses security threats, bias, and compliance gaps to avoid costly AI failures; Explores proven frameworks and best practices to deploy AI responsibly and strategies to outperform; Provides comprehensive guidance through real-world case studies and contributions from industry and academia. Audience AI and machine learning engineers, data scientists, cybersecurity and risk management specialists, academics, researchers, and policymakers specializing in AI ethics, security, and risk management. 2026 Scrivener Publishing LLC. Publisher An entity responsible for making the resource available wiley Relation A related resource ISBN: 978-139439302-2; 978-139439299-5; 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 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 Manoj, Rakshitha A.; Warrier, Gayathry S.; Kokilavani, T.; Mahalakshmi, J.; Balakrishnan, C.; Stephen, R. Title A name given to the resource Advancements in Automated Spine Disorder Detection Using CT Scans: A Decade of Progress (20142024) 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 Lecture Notes in Networks and Systems;Volume;1671 LNNS;pp.443-454 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-95-3489-0_33" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-95-3489-0_33</a> <a href="https://www.scopus.com/pages/publications/105035619108?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105035619108?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 Manoj R.A., CHRIST University, Karnataka, Bengaluru, India; Warrier G.S., CHRIST University, Karnataka, Bengaluru, India; Kokilavani T., CHRIST University, Karnataka, Bengaluru, India; Mahalakshmi J., CHRIST University, Karnataka, Bengaluru, India; Balakrishnan C., CHRIST University, Karnataka, Bengaluru, India; Stephen R., CHRIST University, Karnataka, Bengaluru, India Description An account of the resource Automated spine disorder detection has transformed a lot in the last decade, from classic segmentation techniques to advanced deep learning models. Remarkable developments can be noticed in this field, especially in developing hybrid architectures combining CNNs with LSTM networks to increase diagnostic accuracy. Recent implementations reach an accuracy of up to 97.46% and a precision of 99.72%, highlighting the achievement of impressive performance metrics by modern systems in detecting spinal deformity. Integrating U-net architectures for detecting accurate cervical spine fracture and developing two-tier detection pipelines which efficiently balance specificity and sensitivity are significant innovations. Early approaches concentrated on detecting basic anatomical features, and the latest methods comprise advanced deep learning models for comprehensive analysis. From traditional segmentation tasks to managing complicated challenges and iterative random walks, the field of automated spine disorder detection has improved significantly. However, issues regarding data standardization and model generalization persist, despite this growth. Future research should focus on the development of more robust, system-independent frameworks that are capable of handling various imaging conditions and patient populations. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026. Subject The topic of the resource CT scans; Deep learning; Medical imaging; Neural networks; Spine segmentation Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 23673370; ISBN: 978-981953488-3; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 Cyber-Secure Framework for the Insecure Designs in Healthcare Industry Subject The topic of the resource blockchain; cleartext storage; Cyber Security; insecure design; machine learning; sensitive data Description An account of the resource Sensitive data protection has been a top priority in the healthcare industry. This has led to the investigation of safe data storage and transaction. Despite various attempts to address this issue, data breaches continue to plague the healthcare industry. This study aims to investigate prevalent storage practices and security methodologies in the healthcare, recognizing the need for a robust framework. The work further extends with design of new security framework for healthcare industry. This framework identifies critical data and implement measures to prevent unauthorized access and data tempering. The industrial hype towards the implementation of adaptive machine learning craves the need for hybrid machine learning approaches to be adapted in the cyber secure framework. In order to improve security and confidentiality in the healthcare sector. Blockchain is used in the proposed cyber secure framework promising integrity of data with the features of immutability. This proposal aims to provide a comprehensive solution to the ongoing problem of protecting medical data. Grenze Scientific Society, 2024. Creator An entity primarily responsible for making the resource Mansoor N.; Sandeep J. Source A related resource from which the described resource is derived 15th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2024, Vol-2, pp. 3824-3832. Publisher An entity responsible for making the resource available Grenze Scientific Society Date A point or period of time associated with an event in the lifecycle of the resource 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-s2.0-85209130217&partnerID=40&md5=f10136500586d5cedd6f65193f7fda9a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85209130217&partnerID=40&md5=f10136500586d5cedd6f65193f7fda9a</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-833130057-9 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 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 Mansoor N., Department of computer science, CHRIST (Deemed to be University), Bangalore, India; Sandeep J., Department of computer science, 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 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 Game Rules Prediction Winning Strategies Using Decision Tree Algorithms Subject The topic of the resource Batsman; Clustering; Indian Premiere League; Profiling; Sport Description An account of the resource With the availability of extensive data spanning over the years, sports have become an emerging field of research. The application of analytics in cricket has become prominent over the years. Cricket, the most loved sport in India, draws the attention of fans worldwide. The Indian Premier League is no exception. Created in 2008, this franchise-based T20 format of cricket has gripped the attention of cricket enthusiasts. With ardent fans cheering for their favorite teams, teams have mounting pressure to maintain their winning streak. One such team is the beloved Chennai Super Kings. Statistical techniques for winner prediction have become popular over the last decade. In this study, we try to frame decision rules for IPL teams to win a series using the CART algorithm. By considering Chennai Super Kings, this study aims to understand the criteria for winning and identify potential weaknesses, allowing the team to predict the likelihood of winning the IPL series. 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG. Creator An entity primarily responsible for making the resource Mansurali A.; Harish V.; Hussain S.; Sharma R. Source A related resource from which the described resource is derived Communications in Computer and Information Science, Vol-1742 CCIS, pp. 12-23. 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 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-031-23647-1_2" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-23647-1_2</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146703191&doi=10.1007%2F978-3-031-23647-1_2&partnerID=40&md5=03fb8ac11dae7fb0ba1bf93398a89df5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146703191&doi=10.1007%2f978-3-031-23647-1_2&partnerID=40&md5=03fb8ac11dae7fb0ba1bf93398a89df5</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 18650929; ISBN: 978-303123646-4 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource 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 Mansurali A., School of Business and Management, Christ University, Bangalore, India; Harish V., PSG Institute of Management PSG College of Technology, Coimbatore, India; Hussain S., School of Business and Management, Christ University, Bangalore, India; Sharma R., Himalayan School of Management Studies, Swami Rama Himalayan University, Dehradun, 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 Industry 5.0 - The co-creator in marketing Subject The topic of the resource Co-creation; Customer experience; Digitalization; Industry 5.0; Marketing; Robots; Technology Description An account of the resource The unavoidable connection between automation and digitalization is already in the business horizon in the name of Industry 5.0. Industry 4.0, the robotic and technological revolution were largely hit among the manufacturing industries, but Industry 5.0 is meant for all sectors across ranges from manufacturing to services. Evolution from the days of mechanization (Industry 1.0) to smart factory (Industry 4.0) witnessed the improvisation of metrics related to efficiency and optimization. And now its turn for the balance between optimization and efficiency with the support from robots in assisting the smarter generation's technologies and machineries and tools through Industry 5.0 in the domain of marketing too where the change is constant and dynamic would be more accommodative to opportunities and challenges through the next wave of 5.0. The disruption by Industry 5.0 will change existing nature of marketing in terms of customer experience, supply chain, procurement, product development, retail operations, etc. The market which predominantly flourishes with the help of customers in co-creation is going to have robot as bystander with the intervention of this Revolution 5.0 which will level up the existing customer experience. Marketing by its nature demands the cooperation at multiple levels and is becoming easier prey for the Industry 5.0 revolution as it's expected to create the cooperation between the humans and machines. Product development, customer engagement and customer experience will undergo the transformation due to this industry revolution and also there are other areas in the marketing domain to go through the impact are addressed in this chapter. 2023 by A. Mansurali, V. Harish and Swamynathan Ramakrishnan. All rights reserved. Creator An entity primarily responsible for making the resource Mansurali A.; Harish V.; Ramakrishnan S. Source A related resource from which the described resource is derived Transformation for Sustainable Business and Management Practices: Exploring the Spectrum of Industry 5.0, pp. 5-15. Publisher An entity responsible for making the resource available Emerald Group Publishing Ltd. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1108/978-1-80262-277-520231002" target="_blank" rel="noreferrer noopener">https://doi.org/10.1108/978-1-80262-277-520231002</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85151386144&doi=10.1108%2F978-1-80262-277-520231002&partnerID=40&md5=eeae2370f4e153b4c3e0da6765e7e576" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85151386144&doi=10.1108%2f978-1-80262-277-520231002&partnerID=40&md5=eeae2370f4e153b4c3e0da6765e7e576</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-180262277-5; 978-180262278-2 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 Mansurali A., Christ University, Bangalore, India; Harish V.; Ramakrishnan S., Amity School of Business, Amity University, Dubai, United Arab Emirates 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 Employee attrition and absenteeism analysis using machine learning methods: Application in the manufacturing industry Description An account of the resource HR analytics has been envisaged as recent research trend for providing a comprehensive decision support system to the top level management in terms of employee's performance, recruitment and behaviour analysis. Globally, organizations are using technology to support and ease HR processes. Every organization should give maximum value to every available human resource, and they should minimize the attrition and absenteeism rate and ensure what are the factors that contribute towards employee attrition as well as the causes for workmen absenteeism. The ultimate objective is to correctly identify attrition and absenteeism in order to assist the company to improve retention tactics for key personnel and increase employee satisfaction. Through this chapter, a machine learning-based model is proposed to get quick results for such employee attrition and workmen absenteeism. The model is trained and tested for its accuracy. The result shows that the proposed model has high sensitivity. The managerial implications are also discussed for taking informed decisions. 2023, IGI Global. All rights reserved. Creator An entity primarily responsible for making the resource Mansurali A.; Rajagopal M.; Subbaiah R. Source A related resource from which the described resource is derived HR Analytics in an Era of Rapid Automation, pp. 155-167. Publisher An entity responsible for making the resource available IGI Global Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/978-1-6684-8942-0.ch011" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/978-1-6684-8942-0.ch011</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85169524190&doi=10.4018%2F978-1-6684-8942-0.ch011&partnerID=40&md5=46c92c2a05c0cb45f6ec022994d8c500" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85169524190&doi=10.4018%2f978-1-6684-8942-0.ch011&partnerID=40&md5=46c92c2a05c0cb45f6ec022994d8c500</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166848944-4; 978-166848942-0 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 Mansurali A., Central University of Tamil Nadu, India; Rajagopal M., CHRIST University (Deemed), India; Subbaiah R., Jazan 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 Mantoo, Mansi; Pandey, Sumit K.; Ghai, Priyanka; Pandey, Vijaishree Dubey; Sinha, Rituraj; Kour, Harneet; Sharma, Nitan Title A name given to the resource Framing Conflict And Development: Media Narratives, Security Planning, And Regional Recovery In Post-Article 370 Jammu And Kashmir 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 Applied Bioanalysis;Volume;11;Issue;4;pp.85-93 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.53555/jab.v11i4.320" target="_blank" rel="noreferrer noopener">https://doi.org/10.53555/jab.v11i4.320</a> <a href="https://www.scopus.com/pages/publications/105014977490?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105014977490?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 Mantoo M., School of Journalism and Media Studies, Lovely Professional University, Jalandhar, India; Pandey S.K., School of Journalism and Mass Studies, Lovely Professional University, Jalandhar, India; Ghai P., Department of Legal Studies, Galgotias University, India; Pandey V.D., School of Law, Christ (Deemed to be University), Delhi-NCR, India; Sinha R., School of Law, Christ (Deemed to be University), Delhi-NCR, India; Kour H., MIET School of Law, Kot Bhalwal, J&K, Jammu, India; Sharma N., The Law School, University of Jammu, J&K, India Description An account of the resource The repeal of Article 370 in 2019 has brought about a drastic change in the political, security, and media situation in Jammu and Kashmir, changing the way the events related to the conflict are framed and perceived. This paper will analyze the reporting of the 2025 Pahalgam terror attack and the following Operation Sindoor in two of the most popular regional dailies, Greater Kashmir and Daily Excelsior. The study is based on the qualitative comparative methodology that is supported by the framing theory to compare the tone, stress, and editorial strategy through the purposive analysis of the front-page coverage of April 23-May 8, 2025. The results are contrasting: Daily Excelsior adopts nationalist and security-centered frame that highlights military heroism and state intervention whereas Greater Kashmir adopts humanitarian frame that highlights civilian victimization, emotional appeal and community healing. Such competing frames not only affect the perception of the population, but also the discourses of security planning, tourism recovery, and regional development. The study suggests the significance of the media discourses as a dynamic element of the process of defining policy directions and planning outcomes in conflict-sensitive environments. 2025, Green Publication. All rights reserved. Subject The topic of the resource Conflict Geography; Media Framing; Post-Article 370 Development; Regional Narratives; Security Planning; Tourism Recovery Publisher An entity responsible for making the resource available Green Publication Relation A related resource ISSN: 2405710X; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Gold Open Access Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Through the Lens of Recession 2.0: Diversification Dynamics Between the Leading Asian Stock Markets Subject The topic of the resource Asian Stock Markets; Co-integration; Granger Causality Test; International Stock Market Diversification; Recession 2.0 Description An account of the resource The focus of this article is to analyse the inter-linkages between eight leading stock markets in Asian continent from the period of July 2011 to February 2018. This period holds relevance as this was the time when Recession 2.0 set in, which adversely affected the developed economies; however, the developing economies withstood the crisis without much of an impact. Co-integration and Granger causality tests were conducted to probe the inter-linkages. Study revealed a positive impact on Asian stock market indices collectively on each of the indexes. The highest number of unidirectional causalities was to KOPSI and NIFTY from rest of the stock indices. Results confirmed that no co-integration relationship existed among the selected indices indicating favourable diversification opportunities. Thus, the study fosters global market participants and policymakers to consider the nitty-gritties of stock market integration so as to benefit from international stock market diversification in the Asian region. 2022 Management Development Institute. Creator An entity primarily responsible for making the resource Manu K. S; Nayak S.; Kalra R. Source A related resource from which the described resource is derived Vision, Vol-26, No. 2, pp. 181-192. Publisher An entity responsible for making the resource available Sage Publications India Pvt. Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1177/0972262920983958" target="_blank" rel="noreferrer noopener">https://doi.org/10.1177/0972262920983958</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100997567&doi=10.1177%2F0972262920983958&partnerID=40&md5=c46bb4239d63e46e2373e26475dc952b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100997567&doi=10.1177%2f0972262920983958&partnerID=40&md5=c46bb4239d63e46e2373e26475dc952b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9722629 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 Manu K. S, School of Business and Management, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Nayak S., School of Business and Management, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Kalra R., School of Business and Management, CHRIST (Deemed to be University), Karnataka, Bengaluru, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 Manu, K.S.; Rangasamy, Sangeetha; Janardhanan, Anju Kalluvelil; Rajamohan, Kavitha Title A name given to the resource Unleashing the Potential: AIs Impact on Sustainable Finance in a Changing Global Economy 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 Artificial Intelligence in Action: Transforming Industries and Society;pp.31-52 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003638506-2" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003638506-2</a> <a href="https://www.scopus.com/pages/publications/105035933415?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105035933415?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 Manu K.S., School of Business and Management, CHRIST University, Bengaluru, India; Rangasamy S., School of Business and Management, CHRIST University, Bengaluru, India; Janardhanan A.K., Southern Cross Institute, Parramatta, Australia; Rajamohan K., School of Sciences, CHRIST University, Bangalore, India Description An account of the resource The world is becoming more conscious of sustainability, and the Finance sector is also influenced by this shift. Sustainable finance helps investors to make investment decisions by considering Environmental, Social and Governance (ESG) factors. There is a rapid change in this investment decision process. The main key reason for this change is the adoption of Artificial Intelligence (AI). The study pertains to understanding the impact of AI-based technologies on sustainable finance. AI-based technologies play a significant role in the transformation of sustainable finance by identifying quality data, doing better analysis and predicting ESG trends and investment risks. AI-driven technologies help investors to understand the disclosures on ESG practices, framework and policy mechanisms of the companies so that they make informed decisions and achieve Sustainable Development Goals (SDGs). However, use of AI-based technologies in sustainable finance is expected to be transparent, ethical, accountable and accurate. The study discussed the various applications of AI in achieving SDG goals, the use cases of AI and ESG investment and the relation of green finance and green economy. Few challenges in integrating AI and sustainability are also discussed in the chapter. 2026 selection and editorial matter, A.V. Senthil Kumar, Ankita Chaturvedi, Atul Bansal, and Rohaya Latip; individual chapters, the contributors. Publisher An entity responsible for making the resource available CRC Press Relation A related resource ISBN: 978-104056260-4; 978-104106993-5; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 Blockchain and the Evolving Internal Audit Function Subject The topic of the resource Audit practices; Blockchain technology; Internal audit; Risk management; Smart contract Description An account of the resource Blockchain Technology indicates a transformative era for internal audit practices in the evolving digital finance and operations landscape. This research explores the internal audit function in a Blockchain-driven world, emphasizing the changing perspectives and methodologies necessitated by this disruptive technology. With its foundational principles of transparency, immutability, and decentralization, Blockchain presents challenges and opportunities for internal auditors. The paper delves into how Blockchain is poised to redefine traditional audit practices, moving towards more real-time and continuous auditing techniques. It examines the implications of Blockchain for risk assessment, fraud detection, and compliance, highlighting the shift towards proactive rather than reactive audit strategies. Furthermore, the research examines Blockchains opportunities and challenges to the internal audit function. This study provides insights into integrating Blockchain Technology in internal auditing through a comprehensive secondary data analysis. It proposes a roadmap for auditors to adapt and thrive in this new era. The findings underscore the importance of embracing technological advancements, advocating for a dynamic approach to audit practices that aligns with the complexities of a blockchain-driven world. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. Creator An entity primarily responsible for making the resource Manuel A.; Arumugam S.K. Source A related resource from which the described resource is derived Studies in Systems, Decision and Control, Vol-555, pp. 1209-1215. 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 2025-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-031-67890-5_108" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-67890-5_108</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210149322&doi=10.1007%2F978-3-031-67890-5_108&partnerID=40&md5=3fca0326b4003e15afcc33eac6e11e8b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210149322&doi=10.1007%2f978-3-031-67890-5_108&partnerID=40&md5=3fca0326b4003e15afcc33eac6e11e8b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21984182 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 Manuel A., School of Commerce, Finance and Accountancy, Christ University, Karnataka, Banglore, 560 029, India; Arumugam S.K., School of Commerce, Finance and Accountancy, Christ University, Karnataka, Banglore, 560 029, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 AI in IA: Impact of Artificial Intelligence in Internal Audit: A Qualitative Study Subject The topic of the resource Artificial intelligence; Audit process; Internal audit; Technology Description An account of the resource Internal auditing is becoming more crucial as businesses become more complex and extensive. Artificial intelligence (AI) in internal auditing is a trend change that promises to revolutionize how internal auditing functions are performed and delivered through significant improvements in audit quality and operational discipline. This paper reflects on many of the multifaceted impacts of AI on internal auditing functions. This paper intends to investigate how this AI will impact the audit profession. By interviewing ten individual internal audit experts qualitatively, the study shows that AIs implementation will impact the following six critical levels. AI makes it possible for an auditor to (1) spend less time and make the audit more productive, (2) increase coverage, (3) real-time auditing, (4) enhance decision-making, (5) risk assessment and management, and (6) create new advisory services. The findings thus imply a need for a well-defined and consistent audit structure that is flexible enough for auditors to improve their audits. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. Creator An entity primarily responsible for making the resource Manuel A.; Arumugam S.K. Source A related resource from which the described resource is derived Contributions to Finance and Accounting, Vol-Part F3769, pp. 451-463. Publisher An entity responsible for making the resource available Springer Nature Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-031-67547-8_38" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-67547-8_38</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212494041&doi=10.1007%2F978-3-031-67547-8_38&partnerID=40&md5=b2b3eefffc45d361e19cf3628f05791d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212494041&doi=10.1007%2f978-3-031-67547-8_38&partnerID=40&md5=b2b3eefffc45d361e19cf3628f05791d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 27306038 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 Manuel A., School of Commerce, Finance and Accountancy, Christ University, Bangalore Central Campus, Bangalore, India; Arumugam S.K., Department of Professional Studies, School of Commerce, Finance and Accountancy, Christ University, Bangalore Central Campus, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Phytogenic synthesis and antimicrobial activity of ZnO nano bow ties (ZnO NBTs): An experimental and computational study Subject The topic of the resource Antimicrobial activity; Biogenic synthesis; ZnO Nano Bow Ties Description An account of the resource Phytogenic synthesis is a sustainable and eco-friendly approach for producing nanoscale particles, using biological entities such as plants and their byproducts. In this study, Allium sativum extract was selected as a capping and reducing agent due to the presence of phytochemicals such as allicin, diallyl disulfide (DADS), vinyl dithiins, ajoene (E- and Z-ajoene), diallyl trisulfide (DATS), and thiol (sulfhydryl) groups. The resulting ZnO Nano Bow Ties (ZnO NBTs) were characterized using FE-SEM, XRD, EDX, DLS, zeta potential, FTIR, and UV-Vis spectroscopy to evaluate the size, morphology, and crystallinity. The obtained XRD, SEM, and DLS results suggested an average longitudinal length of ?372 nm with a maximum lateral width of ?64 nm and a Bow Tie shape. Gas Chromatography-Mass Spectroscopy (GC-MS) analysis was employed to elucidate the prominent phytochemical constituents of the Allium sativum extract. Preliminary antibacterial assays reveal significant inhibition zones and growth inhibition effects against gram-negative bacteria of both Klebsiella pneumoniae and Escherichia coli, suggesting the promising antimicrobial potential of these ZnO NBTs. Monte Carlo simulations revealed that the cone-shaped ZnO NBTs bind strongly to the active sites of the target proteins with binding affinities of ?36.20 and ?32.14 kcal/mol for Klebsiella pneumoniae and Escherichia coli respectively, which correlates with their activities. The ZnO NBTs complexes formed stronger hydrophobic interactions and hydrogen bonds with amino acid residues of Escherichia coli than with Klebsiella pneumoniae. This integrated experimental and computational study underscores the potential of the use of ZnO NBTs as a sustainable and effective strategy to combat bacterial pathogens. The findings of this study indicate that efficient morphology (shape) is a major contributor to the protein binding affinities of ZnO NBTs, with promising implications for the design of antibacterial drugs in nanomedicine. 2024 The Authors Creator An entity primarily responsible for making the resource Manuel M.; Gomathy M.; Pappuswamy M.; Bisetty K.; Kanchi S. Source A related resource from which the described resource is derived Microbe (Netherlands), Vol-5 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/j.microb.2024.100206" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.microb.2024.100206</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210536632&doi=10.1016%2Fj.microb.2024.100206&partnerID=40&md5=9e7b25c9c70b1d20e98020bdebc6db9d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210536632&doi=10.1016%2fj.microb.2024.100206&partnerID=40&md5=9e7b25c9c70b1d20e98020bdebc6db9d</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 29501946 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 Manuel M., Department of Chemistry, CHRIST University, Bengaluru, 560029, India; Gomathy M., Department of Life Science, CHRIST University, Bengaluru, 560029, India; Pappuswamy M., Department of Life Science, CHRIST University, Bengaluru, 560029, India; Bisetty K., Department of Chemistry, Faculty of Applied Sciences, Durban University of Technology, Durban, 4000, South Africa; Kanchi S., Department of Chemistry, CHRIST 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 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 Review Article: A Review on Starch and CelluloseEnhanced Superabsorbent Hydrogel Subject The topic of the resource Biodegradable; Cellulose; Gelation; Starch; Superabsorbent hydrogel Description An account of the resource Superabsorbent hydrogels are hydrophilic polymer units that can absorb water and organic fluids into the three-dimensional network and mimic biological cells when swollen. Hydrogels are categorized as natural, synthetic, and hybrid, depending on their constituent polymer. The novel green synthesis includes the combination of natural polymers with synthetic ones to produce eco-friendly Hydrogels. The networks are established using crosslinkers formed chemically as covalent bonds or ionic bonds and physically if intermolecular forces are involved. Starch and cellulose are naturally occurring biopolymers that make significant applications for hydrogel production. This article reviews hydrogel, its properties, classification, synthesis mechanism, and application in various sectors using starch and cellulose as copolymers. Due to the high range of availability, nontoxic nature, and biodegradability, starch and cellulose-based hydrogels find high regard in the present research era. The biopolymers beneficiation can result in the evolution of economic and sustainable methods for transforming this natural biopolymer into utilitarian organic products. 2023, Sami Publishing Company. All rights reserved. Creator An entity primarily responsible for making the resource Manuel M.; Jennifer A. Source A related resource from which the described resource is derived Journal of Chemical Reviews, Vol-5, No. 2, pp. 183-203. Publisher An entity responsible for making the resource available Sami Publishing Company Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.22034/jcr.2023.382452.1209" target="_blank" rel="noreferrer noopener">https://doi.org/10.22034/jcr.2023.382452.1209</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172118658&doi=10.22034%2Fjcr.2023.382452.1209&partnerID=40&md5=4a36f08e05b57447dcd7c8536b3eb771" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172118658&doi=10.22034%2fjcr.2023.382452.1209&partnerID=40&md5=4a36f08e05b57447dcd7c8536b3eb771</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 26766868 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 Manuel M., Department of Chemistry, Christ University, Bangalore, India; Jennifer A., Department of Chemistry, Christ University, Bangalore, India