410 20 16481 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Stability Analysis ofSalt Fingers forDifferent Non-uniform Temperature Profiles inaMicropolar Liquid Subject The topic of the resource Double diffusive convection; Micropolar fluid; Non-uniform temperature gradients; Salt finger Description An account of the resource This paper describes the linear stability analysis of salt finger convection for different non-uniform temperature profiles by keeping the solutal concentration uniform throughout the system. The system consists of two parallel plates separated by a thin layer of micropolar liquid with infinite length, in which the system is heated and soluted from above the plate. Normal mode techniques are used to convert the system of partial differential equations into ordinary differential equations; further, Galerkian method is introduced to get the eigenvalue for isothermal, permeable with no-spin boundary conditions. The study also explains the effect of different micropolar parameters on the onset of convection. The phase of temperature flow for different boundary conditions explains the graphical solution of the energy equation and its gradients. It is shown that non-uniform temperature profiles, diffusivity ratio, coupling parameter, and solutal Rayleigh number influence the stability of the system. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Mary Daniel N.; Lingamneni V.; Tom T.; Arun Kumar N. Source A related resource from which the described resource is derived Lecture Notes in Mechanical Engineering, pp. 371-379. 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-19-1929-9_32" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-1929-9_32</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141703286&doi=10.1007%2F978-981-19-1929-9_32&partnerID=40&md5=3316fae24f73704af5663e7d4e7fbd20" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141703286&doi=10.1007%2f978-981-19-1929-9_32&partnerID=40&md5=3316fae24f73704af5663e7d4e7fbd20</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21954356; ISBN: 978-981191928-2 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Mary Daniel N., Research Scholar, Department of Mathematics, CHRIST(Deemed to be University), Bengaluru, India; Lingamneni V., Department of Mathematics, Sir MV PU College, Karnataka, India; Tom T., Department of Commerce and Management, CHRIST(Deemed to be University), Lavasa, India; Arun Kumar N., School of Engineering and Technology, CHRIST(Deemed to be University), Bengaluru, India https://archives.christuniversity.in/files/original/d4ef2352468fa71365d616277e7e0019.pdf 3f07c431f79d1a79b67339b7eea9c9cd Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource MPHIL Mphil Mphil Thesis Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Study on Work Engagement among the School Teachers Creator An entity primarily responsible for making the resource Mary Francis Anu Date A point or period of time associated with an event in the lifecycle of the resource 2012 Source A related resource from which the described resource is derived of Social Work Description An account of the resource Work engagement is a measurable degree of an persons positive or negative emotional attachment to their job, colleagues and organization which profoundly influences their willingness to learn and perform at work. Now a days it is observed that the commitment and dedication of the teachers in their profession as decreasing. It is also seen that teacher turnover is also becoming high. Even though the teachers in the schools were paid good, the turn over seems to be increasing. The study here tries to investigate the relationship with the work engagement and the socio demographic characteristics of teachers where the demographic variables could explain the relationship between the dimensions of work engagement. Descriptive research design is being used in the study . This design is helpful to identify the socio demographic characteristics and its relationship between the Work engagement among School teachers . The sample consisted of 100 school teachers who having more than one years of experience and the sample was selected by using the convenient sampling method. The study was done using the UWES Scale developed by Wilmar Schaufeli and Arnold Bakker in 2003 and nineteen other questionnaires were developed to know the other factors contributing to work engagement. The resourceful work environment can foster teachers work engagement. Consequently, the study shows that the older experienced married teachers shows the high level of work engagement where the educational qualification has no much role in it. This means that the young generation is not much interested in the profession with a a passion rather than they themselves consider it as a job. The work engagement can be increased among them through making interventions like improving and enhancing effective job and personal resources. 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 Mary Kumari, J.A.; Prakasha, G.S. Title A name given to the resource Reflective writing skills among pre service teachers: a scoping review Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived International Journal of Evaluation and Research in Education;Volume;14;Issue;5;pp.3801-3811 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.11591/ijere.v14i5.28620" target="_blank" rel="noreferrer noopener">https://doi.org/10.11591/ijere.v14i5.28620</a> <a href="https://www.scopus.com/pages/publications/105017329279?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105017329279?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 Mary Kumari J.A., School of Education, Christ University, Bengaluru, India; Prakasha G.S., School of Education, Christ University, Bengaluru, India Description An account of the resource Reflection is a soul-searching process. It is an innate ability to delve down the memory lane to judge a reaction to a particular situation as right or wrong as a response. The positive reactions are reinforced and the ineffective negative ones are relinquished. Developing reflective skills among preservice teachers include regular reflective practice sessions. They have to painstakingly record all their reflections after the delivery of each lesson as part of their curriculum along with other reflective practice opportunities. This effort should lead to evolution of professional practitioner in the long run. Although, there are factors affecting its development, preservice teachers seem to do it more monotonously without much reflective learning. Their reflective writing skills are way behind the expected level. This study adopts the research design outline advocated by Arksey and OMalley. The study appraised the research studies conducted from 2015 to 2024 as a part of scoping review. The study throws light on the various aspects related to the teacher-trainees reflective writing skills. Future studies may focus on empirical validation of the reflective writing skills among preservice teachers. 2025 Institute of Advanced Engineering and Science. All rights reserved. Subject The topic of the resource Preservice teachers; Reflection; Reflective journal; Reflective writing skills; Teacher education Publisher An entity responsible for making the resource available Institute of Advanced Engineering and Science Relation A related resource ISSN: 22528822; 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 Performance Analysis of Different Classifiers to Build a Classification Model and to Improve the Vigilance Skills in Crime Detection Using Data Mining Techniques Subject The topic of the resource Management Description An account of the resource International Journal of Advanced Research in Computer Science, Vol-3 (7), pp. 314-317. ISSN-0976-5697 Creator An entity primarily responsible for making the resource Mary R. Roseline Publisher An entity responsible for making the resource available International Journal of Advanced Research in Computer Science Date A point or period of time associated with an event in the lifecycle of the resource 2012 Language A language of the resource English 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 Mary, Hannah; Rajendran, Rajesh Kanna; Das, Deepthi; Sakkaravarthi, R. Title A name given to the resource Quantum-Driven Finance Transforming Banking Through Next-Generation Technologies 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 Quantum-Driven Financial Intelligence: Innovations in Predictive Analytics and Autonomous Trading Systems;pp.253-273 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-2893-5.ch011" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-2893-5.ch011</a> <a href="https://www.scopus.com/pages/publications/105025264084?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105025264084?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 Mary H., Christ University, India; Rajendran R.K., Department of Computer Science, CHRIST (Deemed to be University), Department of Information Technology, N.G.P Arts & Science College (Autonomous), Bangalore, Coimbatore, India; Das D., Christ University, India; Sakkaravarthi R., Vanier College, Canada Description An account of the resource The swift progress of quantum computing is set to revolutionize the financial sector, especially in the fields of risk management and portfolio optimization. Existing financial models, though effective in some measure, are unable to handle the huge complexities of today's markets, where high-frequency trading, nonlinear interdependencies, and complex risk factors require advanced computational capabilities. Quantum finance, a new multidisciplinary research area, uses quantum computing concepts to improve financial decision-making, investment strategy optimization, and risk reduction more effectively than traditional techniques. This chapter discusses how quantum computing is revolutionizing risk management and portfolio optimization using quantum mechanics-based algorithms like quantum annealing, quantum Monte Carlo simulations, and variational quantum eigensolvers (VQEs). These methods enable financial institutions to resolve high-dimensional optimization problems exponentially quicker, detect more optimal risk-adjusted portfolios, and build predictive models with higher accuracy. 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: 979-833732895-9; 979-833732893-5; 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 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 Mary, S. A. Sahaaya Arul; Prasad, K.D.V.; Raj, S. Dinakar; Sathyapriya, S.; Lalitha, R.V.S.; Rao, G. Siva Nageswara Title A name given to the resource Real-Time Data Fusion Algorithm for Multi-Modal Environmental Sensor Networks Using Kalman Filtering and IoT Integration 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 Analytical Letters; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1080/00032719.2026.2615824" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/00032719.2026.2615824</a> <a href="https://www.scopus.com/pages/publications/105029404632?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105029404632?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 Mary S.A.S.A., Department of AIML & Data Science, School of Engineering and Technology, CHRIST University, Bangalore, India; Prasad K.D.V., Faculty (Research), Symbiosis Institute of Business Management, Hyderabad, Symbiosis International (Deemed University), Pune, India; Raj S.D., Department of Electrical and Electronics Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai, India; Sathyapriya S., Assistant Professor in Information Technology, K. Ramakrishnan College of Engineering, Trichy, India; Lalitha R.V.S., Department of CSE, Aditya University, Surampalem, India; Rao G.S.N., Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, India Description An account of the resource Fusion of heterogeneous, noisy, and asynchronous multimodal data streams is essential to environmental sensor networks, given the computational, memory, and energy constraints of IoT devices. This paper introduces a real-time data fusion framework integrating hybrid adaptive Kalman filtering, distributed edge computing, and seamless IoT connectivity. The proposed framework incorporates three key innovations. First, a hybrid adaptive Kalman filtering mechanism employs the Unscented Kalman Filter (UKF) sigma-point technique, augmented with Long Short-Term Memory (LSTM) neural networks and fuzzy logic, for dynamic noise correction and robust nonlinear state estimation. Second, a three-tier distributed fusion architecture employs edge computing for local data processing, reducing network latency, communication overhead, and energy consumption. Third, a modular Service-Oriented Architecture enables seamless IoT integration, remote data access, and adaptive system reconfiguration. The framework also incorporates multi-criteria fault detection that combines chi-square tests, sequential probability ratio tests, and LSTM-based predictive compensation during sensor failures. Experimental validation employed 150 sensors for urban air-quality monitoring, industrial facility surveillance, and water-quality measurement. Sensor nodes utilized ESP32-S3 microcontrollers with LoRa communication, while Raspberry Pi 4 devices served as edge gateways connected to AWS IoT infrastructure. Compared to standard Kalman filtering, the proposed method achieved: (i) 25.2% reduction in root mean square estimation error, (ii) 41% energy reduction driven by 70% communication savings through predictive transmission and edge compression, (iii) sub-100 ms end-to-end latency representing 54% improvement, and (iv) robust performance maintaining below 10% degradation at 15% sensor failure rates. 2026 Taylor & Francis Group, LLC. Subject The topic of the resource Adaptive Kalman filtering; distributed architectures; edge computing; environmental monitoring; fault-tolerant systems; IoT integration; multi-sensor data fusion Publisher An entity responsible for making the resource available Taylor and Francis Ltd. Relation A related resource ISSN: 32719; CODEN: ANALB 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 Mary, S. A. Sahaaya Arul; Tamilselvi, M.; Londhe, Gaurav Vishnu; Muthevi, Anil Kumar; Rao, K. B. V. Brahma; Muniyandy, Elangovan Title A name given to the resource Adaptive Mesh Networking Protocol for Self-Healing Electrochemical Sensor Networks in Environmental Monitoring Applications 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 Analytical Letters; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1080/00032719.2025.2609937" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/00032719.2025.2609937</a> <a href="https://www.scopus.com/pages/publications/105027123230?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105027123230?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 Mary S.A.S.A., Department of AIML & Data Science, School of Engineering and Technology, CHRIST University, Bangalore, India; Tamilselvi M., Department of Computer Science and Engineering, Roever Engineering College, Perambalur, India; Londhe G.V., Symbiosis Institute of Technology, Symbiosis International University, Pune, India; Muthevi A.K., Department of Computer Science and Engineering, Aditya University, Surampalem, India; Rao K.B.V.B., Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, India; Muniyandy E., Department of Biosciences, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, India, Applied Science Research Center, Applied Science Private University, Amman, Jordan Description An account of the resource Sensor networks for environmental monitoring must be robust, flexible, and long-lasting, and comprehensive reviews and evaluations of adaptive mesh networking protocols for self-healing to enable autonomous operation under challenging environmental conditions are needed. The purpose of this study was to conduct an extensive review and assessment of adaptive mesh networking protocols for the self-healing of electrochemical sensor networks used in environmental monitoring. The Adaptive Mesh Networking Protocols enable the distributed autonomous sensors (distributed over vast areas or through obstructions) to dynamically route their collected data, recover when nodes fail, and extend their life (in real-time). In evaluating adaptive mesh networking protocols, we reviewed several key features, including self-healing mechanisms, adaptive routing algorithms (including their mathematical representations), methods for achieving energy efficiency, and mechanisms for securing data collection from autonomous sensor networks. Our simulation results show that our proposed adaptive mesh networking protocol achieves greater than 98% packet delivery success, even with up to 30% of nodes lost. Furthermore, we have shown that our approach can reduce the energy consumption of autonomous sensors by up to 87.5% compared to existing non-adaptive approaches. Our demonstration of real-time monitoring dashboards and a comprehensive performance analysis of the autonomous sensor networks demonstrates the feasibility of implementing adaptive mesh networking protocols into large-scale environmental monitoring projects. A significant area of focus for future research will be sensor-level self-correction to address bio-fouling remediation. 2026 Taylor & Francis Group, LLC. Subject The topic of the resource Adaptive routing; AODV (Ad-hoc On-demand Distance Vector); electrochemical sensors; energy efficiency; environmental monitoring; LoRaWAN (Long Range Wide Area Network); mesh networking Publisher An entity responsible for making the resource available Taylor and Francis Ltd. Relation A related resource ISSN: 32719; CODEN: ANALB Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Mary, Sahaaya Arul; Dakshinamurthi, Vidyabharathi; Tamilselvi, M.; Seshaiah, M.A.; Abinaya, A.; Syed Husain, S. Title A name given to the resource Real-Time Video Text Spotting with OpenCV and OCR Powered by Deep Learning 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 6th Global Conference for Advancement in Technology, GCAT 2025; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/GCAT66372.2025.11368436" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/GCAT66372.2025.11368436</a> <a href="https://www.scopus.com/pages/publications/105034262457?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105034262457?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 Mary S.A., Christ University, School of Engineering and Technology, Department of Aiml & Data Science, Karnataka, Bangalore, India; Dakshinamurthi V., Sona College of Technology, Department of Computer Science and Engineering, Salem, India; Tamilselvi M., Roever Engineering College, Department of Computer Science and Engineering, Tamilnadu, Perambalur, India; Seshaiah M.A., Velammal Engineering College, Department of Ece, Surapet, Chennai, India; Abinaya A., Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology, Department of Ece, Avadi, Tamilnadu, Chennai, India; Syed Husain S., K. Ramakrishnan College of Engineering, Dept. of Ece, Tamil Nadu, Tiruchirappalli, 621112, India Description An account of the resource The identification of text in video places huge challenges, and translating them into target form demands high-level expert skills in computer vision and deep learning. This system can grab and supervise the real-time video process of text elements by utilizing OpenCV for text recognition and extraction. The proposed model was employed diverse machine translation models to guarantee high-quality results for translation. Based on wide testing and assessment, the goal is to make the apporach fast and precise, offering valuable tool for instructors, content creators, and overall users. This novel approach solves problems relating to language difficulty problems. Key elements include video processing, text detection and recognition, and machine translation. In addition to these essential functionalities, sophisticated preprocessing methods are applied to make text stand out from diverse backgrounds to render high performance in diverse environments. Deep learning algorithms improves the accuracy of text detection, especially for occluded or distorted characters. Finally, the cloud-based translation service offers real-time multilingual support to enable maximal adaptability to user needs. For the first time, this innovative technology finally enables streamlining access to the content and facilitates cross-cultural communication in multimedia contexts with nigh-guaranteed linguistic barriers broken down. 2025 IEEE. Subject The topic of the resource OpenCV; Real-Time Processing; Video Processing Text Detection Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833151458-7; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Mary, Teena; Sreeja, C.S. Title A name given to the resource Adversarial Shadows in Digital Forensics: New Insights Into File Fragment Classification Vulnerabilities and 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 IEEE Access;Volume;14;pp.11064-11083 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ACCESS.2026.3655822" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ACCESS.2026.3655822</a> <a href="https://www.scopus.com/pages/publications/105028406454?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105028406454?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 Mary T., CHRIST (Deemed to be University), Department of Computer Science, Karnataka, Bengaluru, 560029, India; Sreeja C.S., CHRIST (Deemed to be University), Department of Computer Science, Karnataka, Bengaluru, 560029, India, CHRIST (Deemed to be University), Center for Quantum Technologies and Complex Systems (CQTCS), Karnataka, Bengaluru, 560029, India Description An account of the resource The paper is a comprehensive survey of adversarial attacks on file fragment classification (FFC) models - a relatively unexplored area in digital forensics, given the increasing application of machine learning techniques. Unlike image or text classification adversarial attacks, adversarial attacks on FFC exploit statistical and structural properties at the byte level in systems that lack semantic or perceptual knowledge. Such properties necessitate the use of domain-specific defense strategies, as the defense strategies adopted from other domains are typically not effective for the problems of FFC. The survey comprehensively evaluates attack mechanisms relevant to FFC, including evasion and poisoning attacks, and discusses their impact on forensic reliability. It highlights the absence of domain-specific benchmarks, robust evaluation protocols, and systematic research on the adversarial robustness of FFC. The paper also discusses the different types of byte level perturbations that can happen in fragment data, and it sets specific research priorities for raising the reliability of machine learning-based digital evidence recovery and security. The paper provides building blocks for future work, offering practical insights for development in ensuring file fragment classification systems utilized in forensics are secure. 2013 IEEE. Subject The topic of the resource Adversarial attacks; byte level perturbations; evasion attacks; file fragment classification; forensic applications Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISSN: 21693536; 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 Mary, Teena; Sreeja, C.S. Title A name given to the resource Attention and Representation Learning in Byte-Level Digital Forensics: A Survey of Methods, Challenges, and Applications Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived International Journal of Advanced Computer Science and Applications;Volume;17;Issue;2;pp.113-124 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.14569/IJACSA.2026.0170213" target="_blank" rel="noreferrer noopener">https://doi.org/10.14569/IJACSA.2026.0170213</a> <a href="https://www.scopus.com/pages/publications/105039182557?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105039182557?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 Mary T., Department of Computer Science, Christ University, Karnataka, Bengaluru, 560029, India; Sreeja C.S., Center for Quantum Technologies and Complex Systems (CQTCS), Christ University, Karnataka, Bengaluru, 560029, India Description An account of the resource Byte-level analysis has become an essential capability in digital forensics, enabling content-based investigation when file system metadata, headers, or structural information are unavailable or unreliable. Recent advances in deep learning allow forensic systems to learn discriminative features directly from raw byte streams; however, the growing diversity of representation strategies, architectural designs, and attention mechanisms makes it difficult to assess their relative effectiveness and practical suitability. This study presents a structured survey of representation learning and attention-based approaches for byte-level digital forensic analysis. We examine statistical, embedding-based, image-based, sequential, and hybrid representations, and analyze how architectural choices and attention mechanisms influence performance, robustness, and scalability. Across the literature, hybrid representations combined with lightweight convolutional backbones and selective attention mechanisms consistently provide a favorable balance between accuracy and computational efficiency. The survey also reviews key forensic applications, including file fragment classification, malware and binary analysis, network payload forensics, and encrypted or compressed data triage. In addition, we critically discuss challenges related to distribution shift, dataset bias, adversarial vulnerability, interpretability, and reproducibility, along with practical considerations for deployment in large-scale forensic pipelines. By synthesizing architectural trends, operational constraints, and reliability concerns, this work identifies critical research gaps and provides a structured foundation for the development of robust and trustworthy byte-level forensic learning systems. (2026), (Science and Information Organization). All rights reserved. Subject The topic of the resource attention mechanisms; Byte-level digital forensics; deep learning; file fragment classification; forensic robustness; representation learning Publisher An entity responsible for making the resource available Science and Information Organization Relation A related resource ISSN: 2158107X; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Gold Open Access Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Mary, Teena; Sreeja, C.S. Title A name given to the resource Attention-based CNN for Adversarial File Fragment Detection Against Padding and Bit-Flip Attacks 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 Proceedings of 5th International Conference on Evolutionary Computing and Mobile Sustainable Networks, ICECMSN 2025;pp.935-942 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICECMSN68058.2025.11382778" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICECMSN68058.2025.11382778</a> <a href="https://www.scopus.com/pages/publications/105035543391?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105035543391?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 Mary T., Christ University, Department of Computer Science, Bengaluru, India; Sreeja C.S., Christ University, Department of Computer Science, Bengaluru, India Description An account of the resource File fragment classification represents a critical task within digital forensics and cybersecurity that aims to recover fragmented files when their metadata is not available. Even though cutting-edge deep learning models achieve 77-79% accuracy on clean fragments, none of the existing file fragment classification systems currently include detection mechanisms against adversarial attacks, thus remaining defenseless against attackers using byte-level perturbations. This paper addresses this gap by proposing the first adversarial detection framework for file fragment classification. This paper presents an attention-based CNN that combines byte embeddings with both spatial and channel attention mechanisms to detect byte-level perturbations before actual classification. Evaluated over 30.72 million fragments across 75 file types, the detector reaches an accuracy of 91.44% against five attack strategies: null-byte padding, random-byte padding, cross-file padding, random bit-flipping, and header-targeted bit-flipping, at 91.34% recall, 95.46% specificity, and 0.9819 AUC-ROC. With 1.31 M parameters and 1 ms inference time per fragment, the detector enables practical deployment as a preprocessing filter within two-stage forensic pipelines screening suspicious fragments before reaching standard classifiers. This foundational work sets up the first comprehensive benchmark for adversarial robustness evaluation specifically in file fragment classification. 2025 IEEE. Subject The topic of the resource adversarial detection; attention mechanism; cybersecurity; deep learning; digital forensics; file fragment classification Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833158242-5; 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 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 Mary, Teena; Sreeja, C.S. Title A name given to the resource File fragment classification: A comprehensive survey of research advances 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 Quantum Computing Models for Cybersecurity and Wireless Communications;pp.201-218 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1002/9781394271429.ch12" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/9781394271429.ch12</a> <a href="https://www.scopus.com/pages/publications/85218841442?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85218841442?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 Mary T., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India; Sreeja C.S., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India Description An account of the resource A crucial task in digital forensics is file fragment classification, which involves classifying file fragments into their respective types based on their content. It is integral to digital forensics and data recovery, where investigators reconstruct and analyze fragmented files to gather evidence in criminal cases, data breaches, or other cybercrimes. This comprehensive survey paper offers insights into the different methodologies used for file fragment classification, including but not restricted to specialized approaches, hierarchical classification, and neural networks. The paper also highlights the challenges in file fragment classification, such as the need for format standardization, limited training data, scalability, and noise and ambiguity. A research gap analysis of the existing literature was conducted, and it was identified that further research could be done to explore the effectiveness of different approaches for file fragment classification, including transfer learning, ensemble methods, and so on. 2025 Scrivener Publishing LLC. All rights reserved. Subject The topic of the resource Content-based analysis; Digital forensics; File fragment classification; Hierarchical classification; Neural network Publisher An entity responsible for making the resource available wiley Relation A related resource ISBN: 978-139427142-9; 978-139427139-9; 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 All Open Access; Gold Open Access 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 Mary, Tresa; Gopal, Baiju Title A name given to the resource From Dharma to Dialogue: A Scoping Review of Couple Interventions Based on Buddhist Wisdom 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 Contemporary Family Therapy;Volume;47;Issue;3;pp.354-380 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s10591-024-09726-8" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s10591-024-09726-8</a> <a href="https://www.scopus.com/pages/publications/85217431129?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85217431129?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 Mary T., Department of Psychology, Christ University, Bangalore, India; Gopal B., Department of Psychology, Christ University, Bangalore, India Description An account of the resource There has been a surge of interest in interventions based on Buddhist traditions in the domain of relational therapy research. Our scoping review aimed to present a comprehensive overview of the current research landscape on this topic. Through systematic selection criteria, we identified 16 studies. We discovered that these interventions predominantly focused on mindfulness or compassiontwo pillars taken from the Buddhist tradition. Although the findings are varied, the collated evidence indicates that Buddhism-based interventions are promising in improving physical, mental, and relational health for individuals and dyads. However, the sustainability of these benefits needs to be examined. A point of concern is the possible dilution of the practices effectiveness when stripped of their comprehensive, traditional Buddhist context. We conclude from this review that while interventions such as mindfulness- and compassion-based programs can positively affect well-being, their efficacy might be constrained when these practices are detached from their broader, original Buddhist context. Therefore, future research should expand the field to develop intervention programs that maintain the integrity of holistic Buddhist wisdom to enhance relationship health and well-being. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025. Subject The topic of the resource Buddhism; Compassion; Contemplative practices; Couples; Mindfulness; Relationship quality; Well-being Publisher An entity responsible for making the resource available Springer Relation A related resource ISSN: 8922764; 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 Mary, Tresa; Gopal, Baiju; Sebastian, John Title A name given to the resource Beyond the Surface, Delving into du?kha: Buddhist Insights into the Lives of Married Women in a South Indian Metropolis 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 Religion and Health;Volume;65;Issue;2;pp.1962-1990 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s10943-025-02309-3" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s10943-025-02309-3</a> <a href="https://www.scopus.com/pages/publications/105003111586?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105003111586?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 Mary T., Department of Psychology, Christ University, Bangalore, India; Gopal B., Department of Psychology, Christ University, Bangalore, India; Sebastian J., Department of Psychology, Christ University, Bangalore, India Description An account of the resource The modern era has brought women unparalleled opportunities in various fields. However, they still encounter numerous challenges that impede their well-being. This qualitative study explores how Buddhist wisdom can be applied to understand the well-being challenges experienced by married women aged 2539years and residing in Bengaluru, a metropolitan city in India. The study involved conducting semi-structured interviews with eight married women. A thematic analysis of these interviews revealed three main themes, that is, my body, my mind, and my relationship, each with sub-themes falling under the overarching global theme, echoes of unease: unveiling du?khas reflections. The factors driving unsatisfactoriness among the participants were then analysed by applying the Buddhist doctrine of dependent arising to understand the origins of du?kha. This study suggests that Buddhist philosophy provides valuable insights for unravelling the intricacies of the modern womans du?kha and may serve as a potential pathway for women to tap into their inner reservoir of wisdom and compassion, enhancing their overall well-being. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025. Subject The topic of the resource Buddhism; Marriage; Qualitative; Suffering; Well-being; Women Publisher An entity responsible for making the resource available Springer Relation A related resource ISSN: 224197; CODEN: JRHEA Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online https://archives.christuniversity.in/files/original/26f2791a064a1f1a03000830443df050.pdf 00cd31d052fba0573fd9e60bd003825c 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 Thesis PhD PhD Thesis Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Outcome evaluation of child sponsorship programme of a non governmental organization / Subject The topic of the resource Social Work Creator An entity primarily responsible for making the resource Marykutty E P - 1530094 Publisher An entity responsible for making the resource available CHRIST (Deemed to be University) Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-02 Language A language of the resource English Type The nature or genre of the resource PhD 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 Interaction of Nanomaterials with Plant Macromolecules: Nucleic Acid, Proteins and Hormones Subject The topic of the resource Macromolecules; Nanomaterials; Nucleic acids; Plant hormones; Proteins Description An account of the resource Nanotechnology has the ability to change a wide range of industrial and agricultural operations. To harness these possibilities, it is essential to construct nano-materials that have minimum impact on the human body, plant systems as well as the environment. Using different materials can up-or down-regulate diverse genes of plants, create stimulating or stressful conditions and even cause production of metabolites that affect plant-associated microbes. The same nanoparticle can promote one plant species growth and be toxic to another. A small change in the concen-trations could cause either flourishment or senescence. It is crucial to understand how nanomaterials interact with nucleic acids, the most fundamental plant macro-molecule, as well as with the proteins and hormones made by biochemical processes. This chapter explores the basics of nanotechnology, with a brief classification and notes on some of the most recently used nanomaterials in agriculture such as metals and their oxides, quantum dots, graphene, arabinoxylan and chitosan nanoparticles, single and multi-walled carbon nanotubes. Interactions with these above-mentioned macromolecules are explored, along with futuristic applications in plants that are currently being tested, like nanocarriers and nanovalves. Through this work, it is hoped that the field will further be extended through proper understanding of the environmental implications of nanomaterials, and that green technology will become the norm. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023. Creator An entity primarily responsible for making the resource Mascarenhas R.; Mathur T.; Maheshwari J.; Nagella P. Source A related resource from which the described resource is derived Nanomaterial Interactions with Plant Cellular Mechanisms and Macromolecules and Agricultural Implications, pp. 231-271. Publisher An entity responsible for making the resource available Springer International Publishing 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/10.1007/978-3-031-20878-2_9" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-20878-2_9</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85160136775&doi=10.1007%2F978-3-031-20878-2_9&partnerID=40&md5=84b9c1be94cea6a73ef8e80939df059e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85160136775&doi=10.1007%2f978-3-031-20878-2_9&partnerID=40&md5=84b9c1be94cea6a73ef8e80939df059e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-303120878-2; 978-303120877-5 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 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 Mascarenhas R., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, 560 029, India; Mathur T., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, 560 029, India; Maheshwari J., Manipal School of Life Sciences, Manipal Academy of Higher Education, Karnataka, Bangalore, 560 029, India; Nagella P., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, 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 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 SCSLnO-SqueezeNet: Sine Cosine-Sea Lion Optimization enabled SqueezeNet for intrusion detection in IoT Subject The topic of the resource Internet of Things (IoT); intrusion detection; Sea Lion Optimization (SLnO); Sine Cosine algorithm (SCA); SqueezeNet Description An account of the resource Security and privacy are regarded as the greatest priority in any real-world smart ecosystem built on the Internet of Things (IoT) paradigm. In this study, a SqueezeNet model for IoT threat detection is built using Sine Cosine Sea Lion Optimization (SCSLnO). The Base Station (BS) carries out intrusion detection. The Hausdorff distance is used to determine which features are important. Using the SqueezeNet model, attack detection is carried out, and the network classifier is trained using SCSLnO, which is developed by combining the Sine Cosine Algorithm (SCA) with Sea Lion Optimization (SLnO). BoT-IoT and NSL-KDD datasets are used for the analysis. In comparison to existing approaches, PSO-KNN/SVM, Voting Ensemble Classifier, Deep NN, and Deep learning, the accuracy value produced by devised method for the BoT-IoT dataset is 10.75%, 8.45%, 6.36%, and 3.51% higher when the training percentage is 90. 2023 Informa UK Limited, trading as Taylor & Francis Group. Creator An entity primarily responsible for making the resource Masthan M.; Pazhanikumar K.; Chavan M.; Mandala J.; Prasad Kumar S.N. Source A related resource from which the described resource is derived Network: Computation in Neural Systems, Vol-34, No. 4, pp. 343-373. 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1080/0954898X.2023.2261531" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/0954898X.2023.2261531</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173916599&doi=10.1080%2F0954898X.2023.2261531&partnerID=40&md5=fabbd19f15b2ab4817ba6450c21b7c98" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173916599&doi=10.1080%2f0954898X.2023.2261531&partnerID=40&md5=fabbd19f15b2ab4817ba6450c21b7c98</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 0954898X; PubMed ID: 37807939 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 Masthan M., Arffy Technologies, Karnataka, India; Pazhanikumar K., Dept of Computer Science, S.T.Hindu College, Nagercoil, India; Chavan M., Department of Electronics& Communication, Bharati Vidyapeeth(Deemed to be University) College of Engineering, Pune, India; Mandala J., Department of Computer Science and Engineering, Christ (Deemed to be) University, Bangalore, India; Prasad Kumar S.N., Data Scientist, San Francisco, CA, 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 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 Impact of domestic investment, market size, and trade openness on outward fdi: A panel data analysis on brics Subject The topic of the resource BRICS; Domestic Investment; Market Size; Outward FDI; Panel Data; Trade Openness Description An account of the resource The recent phenomenal increase in the outward foreign direct investment (FDI) of emerging countries has raised concerns among policymakers. One school of thought argues that when multinational firms relocate production facilities abroad, it reduces the likelihood of concurrent investments in the home country, resulting in reduced domestic output. In this case, the outward FDI would harm the domestic investments. The other argues that the outward FDI would be more advantageous for the domestic investment when firms internationalize for entering into new markets and/or to import intermediate goods, wherein outward investments boost the returns in the home country, leading to a positive impact of outward FDI on domestic investment. The influence of the outward FDI on the domestic investment of any country or a region state cannot be generalized as each country is unique, and the drivers of investments would differ for different countries at the different development phases of each country. An attempt was made in this study to empirically trace the impact of the domestic investment, market size, and trade openness of the BRICS's members on the BRICS's outward FDI as a group. The results of the panel least square method highlighted that the variables - domestic investment and trade openness of BRICS had a positive effect on the outward FDI; whereas, the market size of BRICS was inversely related to outward FDI of BRICS. The data were tested for stationarity and Hausman test validated the results. 2019, Associated Management Consultants Pvt. Ltd.. All rights reserved. Creator An entity primarily responsible for making the resource Mathad K.; Kumar D.N.S. Source A related resource from which the described resource is derived Indian Journal of Finance, Vol-13, No. 12, pp. 7-18. Publisher An entity responsible for making the resource available Associated Management Consultants Pvt. Ltd. Date A point or period of time associated with an event in the lifecycle of the resource 2019-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.17010/ijf/2019/v13i12/149265" target="_blank" rel="noreferrer noopener">https://doi.org/10.17010/ijf/2019/v13i12/149265</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082812135&doi=10.17010%2Fijf%2F2019%2Fv13i12%2F149265&partnerID=40&md5=4e21a0d895fc0b3baaa19bebd325a092" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082812135&doi=10.17010%2fijf%2f2019%2fv13i12%2f149265&partnerID=40&md5=4e21a0d895fc0b3baaa19bebd325a092</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9738711 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 Mathad K., Institute of Management, CHRIST (Deemed to be University), Bangalore, 560 029, India; Kumar D.N.S., Centre for Research-Projects, CHRIST (Deemed to be University), Bangalore, 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 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 On ideal sumset labelled graphs Subject The topic of the resource Graph labelling; Ideal sumset labelling; Set-labelling; Sumset labelling Description An account of the resource The sumset of two sets A and B of integers, denoted by A + B, is defined as (formula presented). Let X be a non-empty set of non-negative integers. A sumset labelling of a graph G is an injective function (Formula Presented) such that the induced function (Formula Presented) is defined by (Formula presented). In this paper, we introduce the notion of ideal sumset labelling of graph and discuss the admissibility of this labelling by certain graph classes and discuss some structural characterization of those graphs. 2021 Jincy P. Mathai, Sudev Naduvath, and Satheesh Sreedharan. This is an open access article distributed under the terms of the Creative Commons License, which permits unrestricted use and distribution provided the original author and source are credited. Creator An entity primarily responsible for making the resource Mathai J.P.; Naduvath S.; Sreedharan S. Source A related resource from which the described resource is derived Proyecciones, Vol-40, No. 2 Publisher An entity responsible for making the resource available Universidad Catolica del Norte 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/10.22199/issn.0717-6279-2021-02-0022" target="_blank" rel="noreferrer noopener">https://doi.org/10.22199/issn.0717-6279-2021-02-0022</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102825307&doi=10.22199%2Fissn.0717-6279-2021-02-0022&partnerID=40&md5=7ab339a427c477b74e70eb017e7bf124" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102825307&doi=10.22199%2fissn.0717-6279-2021-02-0022&partnerID=40&md5=7ab339a427c477b74e70eb017e7bf124</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 7160917 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 Mathai J.P., Muthoot Institute of Technology & Science, Dept of Mathematics, Puthencruz, KL, India; Naduvath S., CHRIST (Deemed to be University], Dept. of Mathematics, Bangalore, KA, India; Sreedharan S., Vidya Academy of Science & Technology, Dept. of Mathematics, Thrissur, KL, 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 Note Faculty Publications- notes 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 Mathai, Sneha Ann; Daniel Gnanaraj, S. Title A name given to the resource Beyond Grand Narratives of the Sacred A Postmodern Outlook in The Chosen 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 Economic and Political Weekly;Volume;60;Issue;52;pp.153-154 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105027596312?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105027596312?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 Mathai S.A., Department of English and Cultural Studies, CHRIST (Deemed to be University), Bengaluru, India; Daniel Gnanaraj S., Department of English and Cultural Studies, CHRIST (Deemed to be University), Bengaluru, India Description An account of the resource [No abstract available] Publisher An entity responsible for making the resource available Economic and Political Weekly Relation A related resource ISSN: 129976; Language A language of the resource English Type The nature or genre of the resource Notes Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library