513 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 Ceramic-Polymer-Carbon Composite Coating on the Truncated Octahedron-Shaped LNMO Cathode for High Capacity and Extended Cycling in High-Voltage Lithium-Ion Batteries Description An account of the resource Long-term electrochemical cycle life of the LiNi0.5Mn1.5O4 (LNMO) cathode with liquid electrolytes (LEs) and the inadequate knowledge of the cell failure mechanism are the eloquent Achilles heel to practical applications despite their large promise to lower the cost of lithium-ion batteries (LIBs). Herein, a strategy for engineering the cathode-LE interface is presented to enhance the cycle life of LIBs. The direct contact between cathode-active particles and LE is controlled by encasing sol-gel-synthesized truncated octahedron-shaped LNMO particles by an ion-electron-conductive (ambipolar) hybrid ceramic-polymer electrolyte (IECHP) via a simple slot-die coating. The IECHP-coated LNMO cathode demonstrated negligible capacity fading in 250 cycles and a capacity retention of ?90% after 1000 charge-discharge cycles, significantly exceeding that of the uncoated LNMO cathode (a capacity retention of ?57% after 980 cycles) in 1 M LiPF6 in EC:DMC at 1 C rate. The difference in stability between the two types of cathodes after cycling is examined by focused ion beam scanning electron microscopy and time-of-flight secondary ion mass spectrometry. These studies revealed that the pristine LNMO produces an inactive layer on the cathode surface, reducing ionic transport between the cathode and the electrolyte and increasing the interface resistance. The IECHP coating successfully overcomes these limitations. Therefore, the present work underlines the adaptability of IECHP-coated LNMO as a high-voltage cathode material in a 1 M LiPF6 electrolyte for prolonged use. The proposed strategy is simple and affordable for commercial applications. 2024 The Authors. Published by American Chemical Society. Creator An entity primarily responsible for making the resource Pazhaniswamy S.; Cha G.; Joshi S.A.; Karuthedath Parameswaran A.; Jose R.; Pechmann S.; Christiansen S.; Agarwal S. Source A related resource from which the described resource is derived Energy and Fuels, Vol-38, No. 21, pp. 21456-21467. Publisher An entity responsible for making the resource available American Chemical 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="https://doi.org/10.1021/acs.energyfuels.4c02933" target="_blank" rel="noreferrer noopener">https://doi.org/10.1021/acs.energyfuels.4c02933</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206660549&doi=10.1021%2Facs.energyfuels.4c02933&partnerID=40&md5=3f9eb3cbf2a676c891a853df8a1d38d5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206660549&doi=10.1021%2facs.energyfuels.4c02933&partnerID=40&md5=3f9eb3cbf2a676c891a853df8a1d38d5</a> Rights Information about rights held in and over the resource All Open Access; Hybrid Gold Open Access Relation A related resource ISSN: 8870624; CODEN: ENFUE 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 Pazhaniswamy S., Department of Materials, University of Oxford, Parks Road, Oxford, OX1 3PH, United Kingdom, Bavarian Center for Battery Technology, Advanced Sustainable Polymers, Macromolecular Chemistry II, University of Bayreuth, Universitsstrasse 30, Bayreuth, 95440, Germany; Cha G., Fraunhofer Institute for Ceramic Technologies and Systems IKTS, re Nnberger Stra 62, Forchheim, 91301, Germany; Joshi S.A., Bavarian Center for Battery Technology, Advanced Sustainable Polymers, Macromolecular Chemistry II, University of Bayreuth, Universitsstrasse 30, Bayreuth, 95440, Germany; Karuthedath Parameswaran A., Department of Physics and Electronics, Christ University, Bangalore, 560029, India, Department of Inorganic Chemistry, University of Chemistry and Technology, Technick5, Prague 6, 166 28, Czech Republic; Jose R., Center for Advanced Intelligent Materials, Universiti Malaysia Pahang Al-Sultan Abdullah, Kuantan, 26300, Malaysia, Faculty of Industrial Sciences and Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, Kuantan, 26300, Malaysia, Battery Research Center of Green Energy, Ming Chi University of Technology, 84 Gungjuan Rd., New Taipei City, 24301, Taiwan; Pechmann S., Fraunhofer Institute for Ceramic Technologies and Systems IKTS, re Nnberger Stra 62, Forchheim, 91301, Germany; Christiansen S., Fraunhofer Institute for Ceramic Technologies and Systems IKTS, re Nnberger Stra 62, Forchheim, 91301, Germany; Agarwal S., Bavarian Center for Battery Technology, Advanced Sustainable Polymers, Macromolecular Chemistry II, University of Bayreuth, Universitsstrasse 30, Bayreuth, 95440, Germany 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 Miniaturized Band Stop Frequency Selective Surface for Stable Resonance Characteristics Subject The topic of the resource angular stability; band pass-band; band stop; FSS; polarization stability Description An account of the resource In this paper, miniaturized 7.45 GHz resonant frequency band stop frequency selective surface (FSS) is designed. The unit cell dimensions of designed FSS is only about 0.1?0 at the 7.45 GHz. Proposed design involves a crossed dipole metallic element together with meander shape on the substrate. Simulation results provide about 800 MHz bandwidth (7.1 GHz-7.9 GHz) with-20 dB insertion loss. The FSS properties are studied on a unit cell using electromagnetic (EM) solver to observe the characteristics. Proposed FSS demonstrates a stable resonance frequency behavior for the arbitrary angle of incidences in both the polarizations such as TM and TE modes. Thus, the design holds a polarization independent characteristic for all incident angles and polarizations. Finally, the FSS properties are validated by a fabricated array of 311 mm2. 2018 IEEE. Creator An entity primarily responsible for making the resource Peddakrishna S.; Dash S.K.K.; Khan T. Source A related resource from which the described resource is derived 2018 International Conference on Applied Electromagnetics, Signal Processing and Communication, AESPC 2018 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2018-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/AESPC44649.2018.9033427" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/AESPC44649.2018.9033427</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083082074&doi=10.1109%2FAESPC44649.2018.9033427&partnerID=40&md5=8eb993afbb6618e156f192640beb629b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083082074&doi=10.1109%2fAESPC44649.2018.9033427&partnerID=40&md5=8eb993afbb6618e156f192640beb629b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-153868333-0 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 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 Peddakrishna S., Institute of Aeronautical Engineering, Department of Electronics and Communication Engineering, Hyderabad, India; Dash S.K.K., CHRIST (Deemed to Be University), Department of Electronics and Communication Engineering, Bengaluru, India; Khan T., National Institute of Technology Silchar, Department of Electronics and Communication Engineering, Silchar, 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 Understanding Agape Leadership: A Scoping Review Subject The topic of the resource Agape; compassion; leadership; unconditional love; well-being Description An account of the resource Agape, a Greek term for unconditional love, is often overlooked in the context of leadership, which has traditionally emphasized control and dominance. Agape leadership is a type of leadership that places the well-being and growth of individuals, communities, and society at the forefront. This style of leadership is characterized by a profound sense of compassion and consideration for others and is grounded in the principles of love, compassion, and empathy. This paper reviews the literature on agape leadership, exploring how it is conceptualized, practiced, and studied. The review finds that agape leadership is linked to favourable results, including increased trust, motivation, performance, respect, and collaboration, in which people can thrive and reach their full potential. This style of leadership is not only focused on achieving specific goals or outcomes, but also on fostering a sense of purpose, meaning, and fulfilment in the lives of those being led. The leadership style of agape can bring about enduring and constructive transformations in society as it motivates and galvanizes individuals to collaborate toward a collective aspiration of a more promising tomorrow. Agape leaders also place a high value on personal growth and development and are constantly seeking to learn and grow in their own leadership journey. 2023 Open Access/Author/s - Online @ http//: www.pharosjot.com Creator An entity primarily responsible for making the resource Peekunnel S.P.; Srinivas V. Source A related resource from which the described resource is derived Pharos Journal of Theology, Vol-105, No. 1, pp. 1-13. Publisher An entity responsible for making the resource available Africa Journals 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/10.46222/pharosjot.10519" target="_blank" rel="noreferrer noopener">https://doi.org/10.46222/pharosjot.10519</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185187446&doi=10.46222%2Fpharosjot.10519&partnerID=40&md5=282ed1a5c5866c9991b681bcd4c27684" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185187446&doi=10.46222%2fpharosjot.10519&partnerID=40&md5=282ed1a5c5866c9991b681bcd4c27684</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 24143324 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 Peekunnel S.P., CHRIST(Deemed to be University), Karnataka, Bengaluru, 560 029, India; Srinivas V., CHRIST(Deemed to be University), Karnataka, Bengaluru, 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 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 Eye-Tracking Measures in Aviation: A Selective Literature Review Description An account of the resource Objective: The aim of this article is to present a comprehensive review of eye-tracking measures and discuss different application areas of the method of eye tracking in the field of aviation. Background: Psychophysiological measures such as eye tracking in pilots are useful for detecting fatigue or high-workload conditions, for investigating motion sickness and hypoxia, or for assessing display improvements and expertise. Method: We review the uses of eye tracking on pilots and include eye-tracking studies published in aviation journals, with both a historical and contemporary view. We include 79 papers and assign the results to the following three categories: Human performance, aircraft design, health and physiological factors affecting performance. We then summarize the different uses of eye tracking in each category and highlight metrics which turned out to be useful in each area. Our review is complementary to that of Ziv (2016). Results: On the basis of these analyses, we propose useful application areas for the measurement of eye tracking. Eye tracking has the potential to be effective in terms of preventing errors or injuries by detecting, for example, fatigue or performance decrements. Applied in an appropriate manner in simulated or real flight it can help to ensure optimal functioning of manmachine systems. Conclusion: Further aviation psychology and aerospace medicine research will benefit from measurement of eye movements. 2018, 2018 The Author(s). Published with license by Taylor and Francis Group, LLC. Creator An entity primarily responsible for making the resource Pei S.; Wickens C.D.; Baruah R. Source A related resource from which the described resource is derived International Journal of Aerospace Psychology, Vol-28, No. 45750, pp. 98-112. Publisher An entity responsible for making the resource available Taylor and Francis Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2018-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1080/24721840.2018.1514978" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/24721840.2018.1514978</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85061323205&doi=10.1080%2F24721840.2018.1514978&partnerID=40&md5=5f932699c120d6c5b2f04c3ab649ad23" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85061323205&doi=10.1080%2f24721840.2018.1514978&partnerID=40&md5=5f932699c120d6c5b2f04c3ab649ad23</a> Rights Information about rights held in and over the resource All Open Access; Green Open Access; Hybrid Gold Open Access Relation A related resource ISSN: 24721840 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 Pei S., Department of Psychology, Leopold Franzens University, Innsbruck, Austria; Wickens C.D., Department of Psychology, University of Illinois, Urbana-Champaign, and Department of Psychology, Colorado State University, Fort Collins, CO, United States; Baruah R., Rithi Baruah, Department of Psychology, Christ University, Bengalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Peleshenko, Tatyana; Lidzhiev, Artem; Shkirya, Daniel; Vinodha, D. Title A name given to the resource Development of an Adaptive Mathematical Education System for Middle Grades Using Machine 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 Lecture Notes in Networks and Systems;Volume;1616 LNNS;pp.363-373 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-032-04365-8_36" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-032-04365-8_36</a> <a href="https://www.scopus.com/pages/publications/105019504674?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105019504674?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 Peleshenko T., North Caucasus Federal University, Stavropol, 355017, Russian Federation; Lidzhiev A., North Caucasus Federal University, Stavropol, 355017, Russian Federation; Shkirya D., North Caucasus Federal University, Stavropol, 355017, Russian Federation; Vinodha D., Christ University, Karnataka, Bangalore, 560074, India Description An account of the resource The aim of the study is to improve the study of mathematics topics for middle school children by developing a software implementation of an adaptive educational system using machine learning. During the research, the topic of quadratic equations was chosen as the basis for the research and development of an adaptive system. During the testing of the adaptive system, mistakes were specifically made to simulate the consolidation of knowledge during the educational process and make sure that it works and is able to adapt to the individual level of each student, increasing the level of knowledge gained and contributing to the consolidation of the material. To achieve this goal, Python code was developed in the Jupyter Notebook development environment. Python libraries were also used, in particular the scikit-learn library for implementing machine learning. The presented approach and software implementation can be used both by teachers to check students and track their progress, and by students themselves to assimilate and consolidate the material and knowledge gained in the lessons. The results obtained during the study demonstrate an increase in the effectiveness of adaptive learning methods using machine learning. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. Subject The topic of the resource Adaptive educational system; Adaptive learning methodology; Individual learning; Logical regression algorithm; Machine learning; Python; Quadratic equations; Scikit-learn library Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 23673370; ISBN: 978-303204364-1; 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 Peng, Wei; Bani, Faithfulstar K; Saji, Janita; Lamare, Rocky Maximillian Pohlong; Hu, Guoqing; Dubey, Vikas Title A name given to the resource Effect of different impact velocities on mechano-luminescence of natural calcite for mechanical sensors 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 Russian Physics Journal;Volume;68;Issue;10;pp.1548-1557 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s11182-025-03591-0" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s11182-025-03591-0</a> <a href="https://www.scopus.com/pages/publications/105024878715?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105024878715?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 Peng W., School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China; Bani F.K., Department of Physics, North-Eastern Hill University, Meghalaya, Shillong, India; Saji J., Department of Sciences and Humanities, School of Engineering and Technology, CHRIST University, Bengaluru, India; Lamare R.M.P., Department of Physics, North-Eastern Hill University, Meghalaya, Shillong, India; Hu G., Department of Engineering and Technology, Xicheng District, Beijing, China; Dubey V., Department of Physics, North-Eastern Hill University, Meghalaya, Shillong, India Description An account of the resource This paper studies the mechanoluminescence (ML) behavior of natural calcite under varying impact velocities to assess its potential use in passive mechanical sensing. Calcite samples obtained from Byrnihat, Meghalaya (2603?03.8?N 9152?11.0?E), were analyzed using X?ray diffraction, field emission scanning electron microscopy, energy-dispersive X?ray spectroscopy, and Fourier-transform infrared spectroscopy. The analysis confirms the formation of the nanocrystalline hexagonal phase with minor impurities that affect its luminescent properties. When subjected to the mechanical impact, the calcite consistently produces asharp ML peak around 17?ms, regardless of the impact speed. The emitted light intensity shows alinear dependence on the impact velocity, suggesting areliable correlation between the mechanical input and optical response. The emission decay follows afirst-order exponential pattern, supporting its usefulness for identifying short-duration force events. Aplot of time against the logarithm of intensity displays aclear negative slope, supporting this kinetic model. These research findings highlight the potential of natural calcite as areliable and environmentally friendly material for mechanical sensor applications. The Author(s), under exclusive licence to Springer Nature Switzerland AG 2025. Subject The topic of the resource Calcite; Impact velocity; Mechanical sensor; Mechanoluminescence Publisher An entity responsible for making the resource available Springer Relation A related resource ISSN: 10648887; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Chernobyl Disaster Optimizer-Based Optimal Integration of Hybrid Photovoltaic Systems and Network Reconfiguration for Reliable and Quality Power Supply to Nuclear Research Reactors Subject The topic of the resource Chernobyl disaster optimizer; D-STATCOM; energy storage system; network reconfiguration; nuclear research reactors; performance; photovoltaic systems; reliability; resilience Description An account of the resource In view of the complexity and importance of nuclear research reactor (NRR) installations, it is imperative to uphold high standards of reliability and quality in the electricity being supplied to them. In this paper, the performance of low-voltage (LV) distribution feeders integrated with NRRs is improved in terms of reduced distribution loss, improved voltage profile, and reduced greenhouse gas (GHG) emissions by determining the optimal location and size of photovoltaic (PV) systems. In the second stage, the power quality of the feeder is optimized by reducing the total harmonic distortion (THD) by optimally allocating D-STATCOM units. In the third and fourth stages, the reliability and resilience aspects of the feeder are optimized using optimal network reconfiguration (ONR) and by integrating an energy storage system (ESS). To solve the non-linear complex optimization problems at all these stages, an efficient meta-heuristic Chernobyl disaster optimizer (CDO) is proposed. Simulations are performed on a modified IEEE 33-bus feeder considering the non-linear characteristics of NRRs, variability of the feeder loading profile, and PV variability. The study reveals that the proposed methodology can significantly improve the service requirements of NRRs for attaining sustainable research activities. 2024 by the authors. Creator An entity primarily responsible for making the resource Penubarthi S.R.; Korrapati R.R.; Janamala V.; Nimmagadda C.; Veerendra A.S.; Ravindrakumar S. Source A related resource from which the described resource is derived Modelling, Vol-5, No. 3, pp. 1268-1285. Publisher An entity responsible for making the resource available Multidisciplinary Digital Publishing Institute (MDPI) 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/10.3390/modelling5030065" target="_blank" rel="noreferrer noopener">https://doi.org/10.3390/modelling5030065</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205229030&doi=10.3390%2Fmodelling5030065&partnerID=40&md5=bae7e59e99a0413f715d58b336831cc5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205229030&doi=10.3390%2fmodelling5030065&partnerID=40&md5=bae7e59e99a0413f715d58b336831cc5</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 26733951 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 Penubarthi S.R., Department of Electrical and Electronics Engineering, Lakireddy Bali Reddy College of Engineering (Autonomous), Jawaharlal Nehru Technological University, Kakinada (JNTUK), Kakinada, 533003, India; Korrapati R.R., Department of Electrical and Electronics Engineering, R.V.R. & J.C. College of Engineering, Guntur, 522019, India; Janamala V., Department of Electrical and Electronics Engineering, School of Engineering and Technology, Christ University, Bangalore, 560074, India; Nimmagadda C., Department of Electrical and Electronics Engineering, R.V.R. & J.C. College of Engineering, Guntur, 522019, India; Veerendra A.S., Department of Electrical and Electronics Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, India; Ravindrakumar S., Department of Electrical and Electronics Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, 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 Machine Learning in Financial Distress: A Scoping Review Subject The topic of the resource Artificial Neural Networks; Financial Distress Prediction; Machine Learning; Support Vector Machine Description An account of the resource Predicting financial distress is crucial for stakeholders, policymakers, governments, and management in decision-making processes. Researchers have developed various prediction models encompassing both traditional and machine-learning approaches. Notably, recent attention has shifted towards employing machine learning models to address the limitations of traditional methods. This study seeks to offer insights into current trends, identify gaps, and suggest future research directions using machine learning models for financial distress prediction, employing the PRISMA Extension for Scoping Reviews methodology. To achieve this, a comprehensive search was conducted across three databasesScience Direct, EBSCO, and ProQuestspanning from 2020 to 2023, identifying 34 relevant articles for analysis. The findings underscore the prevalent use of Support Vector Machine in financial distress prediction, followed by the Random Forest Classifier and Artificial Neural Network, with little attention paid to other models. Furthermore, the study underscores the necessity for more research in developing countries, noting the predominance of studies from developed nations. While machine learning models hold promise for enhancing the accuracy and efficiency of financial distress prediction, additional research is imperative to evaluate their effectiveness and applicability across diverse contexts. This scoping review aims to furnish researchers, policymakers, and institutions with valuable insights and policy recommendations, shedding light on underexplored machine-learning techniques. 2024, Iquz Galaxy Publisher. All rights reserved. Creator An entity primarily responsible for making the resource Peralungal A.; Natchimuthu N. Source A related resource from which the described resource is derived International Research Journal of Multidisciplinary Scope, Vol-5, No. 3, pp. 457-474. Publisher An entity responsible for making the resource available Iquz Galaxy Publisher 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/10.47857/irjms.2024.v05i03.0779" target="_blank" rel="noreferrer noopener">https://doi.org/10.47857/irjms.2024.v05i03.0779</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201817039&doi=10.47857%2Firjms.2024.v05i03.0779&partnerID=40&md5=ed1da499cedf8d19b4d67202007fa1c5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201817039&doi=10.47857%2firjms.2024.v05i03.0779&partnerID=40&md5=ed1da499cedf8d19b4d67202007fa1c5</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 2582631X 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 Peralungal A., School of Commerce, Finance and Accountancy, CHRIST (Deemed to Be University), Karnataka, Bengaluru, India; Natchimuthu N., School of Commerce, Finance and Accountancy, 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 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 Peralungal, Alay; Natchimuthu, Natchimuthu Title A name given to the resource Predicting Financial Distress in India: A Deep Learning Approach 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 Smart Innovation, Systems and Technologies;Volume;413 SIST;pp.587-603 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-97-7717-4_42" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-7717-4_42</a> <a href="https://www.scopus.com/pages/publications/86000439167?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/86000439167?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 Peralungal A., School of Commerce, Finance and Accountancy, CHRIST (Deemed To Be University), Karnataka, Bangalore, 560029, India; Natchimuthu N., School of Commerce, Finance and Accountancy, CHRIST (Deemed To Be University), Karnataka, Bangalore, 560029, India Description An account of the resource The present study examines the efficacy of deep learning models in predicting financial distress in India. For this purpose, the study employs three distinct architectures: Long Short-Term Memory (LSTM), Recurrent Neural Network (RNN), and Conventional Neural Network (CNN) models. Utilizing data from companies that filed for bankruptcy under the Insolvency and Bankruptcy Code 2016 for the period of 20162023, the study adopts a balanced sample approach to categorize them into distressed and non-distressed groups. Nineteen financial variables are utilized to predict financial distress. Python is used as the programming language, and Jupyter Notebook facilitates algorithm development. The findings reveal that the LSTM model, when compared to RNN and CNN, achieved 91% accuracy using parameters such as 8 LSTM units with tanh activation and a dense layer with sigmoid activation function, a batch size of 10, 50 epochs, RMSprop optimizer, and binary cross-entropy loss were used. The study suggests that deep learning presents a novel approach that can enhance performance in financial distress prediction studies. This study is believed to be the first to utilize deep learning models for financial distress prediction in India based on single-year data, offering valuable insights for financial institutions and investors seeking more effective risk management strategies. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. Subject The topic of the resource Convolutional neural network; Deep learning; Financial distress prediction; Long short-term memory; Recurrent neural network Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 21903018; ISBN: 978-981977716-7; 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 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 Peralungal, Alay; Natchimuthu, Natchimuthu Title A name given to the resource Predicting Financial Distress in India: A Deep Learning Approach 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 Smart Innovation, Systems and Technologies;Volume;413 SIST;pp.587-603 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-97-7717-4_42" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-7717-4_42</a> <a href="https://www.scopus.com/pages/publications/86000439167?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/86000439167?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 Peralungal A., School of Commerce, Finance and Accountancy, CHRIST (Deemed To Be University), Karnataka, Bangalore, 560029, India; Natchimuthu N., School of Commerce, Finance and Accountancy, CHRIST (Deemed To Be University), Karnataka, Bangalore, 560029, India Description An account of the resource The present study examines the efficacy of deep learning models in predicting financial distress in India. For this purpose, the study employs three distinct architectures: Long Short-Term Memory (LSTM), Recurrent Neural Network (RNN), and Conventional Neural Network (CNN) models. Utilizing data from companies that filed for bankruptcy under the Insolvency and Bankruptcy Code 2016 for the period of 20162023, the study adopts a balanced sample approach to categorize them into distressed and non-distressed groups. Nineteen financial variables are utilized to predict financial distress. Python is used as the programming language, and Jupyter Notebook facilitates algorithm development. The findings reveal that the LSTM model, when compared to RNN and CNN, achieved 91% accuracy using parameters such as 8 LSTM units with tanh activation and a dense layer with sigmoid activation function, a batch size of 10, 50 epochs, RMSprop optimizer, and binary cross-entropy loss were used. The study suggests that deep learning presents a novel approach that can enhance performance in financial distress prediction studies. This study is believed to be the first to utilize deep learning models for financial distress prediction in India based on single-year data, offering valuable insights for financial institutions and investors seeking more effective risk management strategies. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. Subject The topic of the resource Convolutional neural network; Deep learning; Financial distress prediction; Long short-term memory; Recurrent neural network Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 21903018; ISBN: 978-981977716-7; 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 https://archives.christuniversity.in/files/original/e69a4682df4ae4a892808c82649d7976.pdf 60b28a5778764682ebff652a200b2538 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 Exploring the Professional Problems Faced by Beginning Counsellors Creator An entity primarily responsible for making the resource Pereira Maxim 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 Psychology Description An account of the resource Counselling Education at a Post-graduate level is of recent origin in India. Every year a number of students who complete their Post-graduate studies (M.Sc.) in Counselling get employed in various settings. As trainees their issues related to practice of counseling get addressed in training sessions, in supervision and through other means like personal therapy. Nothing is conclusively known about their status as beginning counselors. The aim and objectives of the study were exploring the professional problems faced by beginning counselors and the ways in which they are coping with them and their suggestions to cope as individuals and the ways in which the training institutes could help them to cope. The study was done by conducting two focus group discussions (FGD) of six beginning counselors and personal in-depth interviews of three beginning counselors who were working in different settings like Clinical-rehab, School and Employee Assistance Programme (EAP). While three school counsellors, two counsellors working in clinical-rehab settings and one EAP counsellor formed the participants of FGD, one counsellor from each of these settings who was not part of FGD was interviewed personally. While for the FGDs, the researcher used the self-constructed guide, for the interviews, the findings of FGD data which formed the Interview Schedule. Both the FGDs and the interviews were audio-recorded and transcribed and analyzed with conventional content analysis. Data from both the FGDs and interviews were included to form the Results. The findings show the various professional problems faced by the beginning counselors and the coping strategies used by them and their suggestions for coping with their professional problems at an individual level and at an institutional level. Implications for professional development, training of counsellors and scope for future research are presented. Key Words: Beginning Counsellors, Professional Problems, Coping, Professional Development. https://archives.christuniversity.in/files/original/e3657dbaec25154719700e90bddd54c1.pdf 36b01fffb7e695d8cb1ac29acfbf5250 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource MASTERS Masters' Dissertation Masters Dissertation Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Portrayal of Pakistanis in Kabir Khan films / Subject The topic of the resource Media Studies Description An account of the resource The Bollywood cinema has metamorphosed into an abiding passion for audience all over the world cutting across demographic and political boundaries. Besides the rather visible signs of the extensive hold that mainstream Hindi cinema has on Particularly the Indian society, the fact remains that, contemporary commercial Hindi films have reflected political and social concerns of all the time. Creator An entity primarily responsible for making the resource Pereira, Anvita. - 1537134 Source A related resource from which the described resource is derived Master of Arts in Media and Communication Studies 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 2017-02-03 Contributor An entity responsible for making contributions to the resource Department of Media Studies Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Masters Dissertation Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource PHD PhD PhD Thesis Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Relation A related resource 61000086 Title A name given to the resource A Study on psycho-social problems of persons with chronic renal failure with specific reference to bangalore cosmopolitan city Subject The topic of the resource Social Work Description An account of the resource The present research is an attempt to describe the psychosocial problems faced by individuals with chronic renal failure in Bangalore cosmopolitan city. The aim of the study was to describe the level of psycho social problems experienced by them and to develop a psychosocial intervention programme to address this issue. The researcher adopted newlinedescriptive research design. The sample of 200 individual with chronic renal failure was newlineselected with consecutive sampling technique from St. John s Hospital and Medical College, newlineJayanagar Government Hospital and Manipal Hospital. The researcher used structured newlineinterview schedule to collect the data; to study the psychosocial problems, Psychosocial newlineAssessment Tool (PAT-5)-A measure of psychosocial problems in Haemodialysis Patients (Kansal, 2010) was adopted. newlineThe results of the study depict that, in the health awareness domain more than half (52%) of the patients were having moderate level of problems and 13.5% reported severe level of newlineproblems. In the occupational domain, three fourth (75.5%) of the patients reported severe level of problems; in family and social domain, nearly half of the patients (46%) reported severe level of problems. In the financial domain, two third (66%) reported severe problems. In the psychological domain it is seen that near about half (41%) reported severe level of newlinepsychological distress. The overall psychosocial score of the patients reveal that nearly half (47.5%) of patients felt severe level of psychosocial problems. Based on the finding of the study, needs assessment and discussion with the experts in the field a psychosocial intervention programme has evolved. It is suggested that effective use of this intervention programme can reduce the psychosocial problems faced by the patients and lead to better clinical outcomes. Creator An entity primarily responsible for making the resource Pereira, Eliza. Source A related resource from which the described resource is derived Author's Submission Publisher An entity responsible for making the resource available Christ(Deemed to be University) Date A point or period of time associated with an event in the lifecycle of the resource 2017-01-01 Contributor An entity responsible for making contributions to the resource T.S, Chandrashekara Rights Information about rights held in and over the resource Open Access Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource PhD Identifier An unambiguous reference to the resource within a given context <a href="http://hdl.handle.net/10603/325477" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/325477</a> Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications 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 Pereira, Sharlene Anna; Fernandes, Melsa Magdalene; Mary Anita, E.A.; Grobova, Tatyana Title A name given to the resource Post-quantum Cryptography in Practice: A Survey of Algorithms, Applications, and Deployment Challenges 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;1456 LNNS;pp.362-369 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-032-07275-7_33" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-032-07275-7_33</a> <a href="https://www.scopus.com/pages/publications/105023157472?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105023157472?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 Pereira S.A., Christ University, Bangalore Kengeri Campus, Bangalore, India; Fernandes M.M., Christ University, Bangalore Kengeri Campus, Bangalore, India; Mary Anita E.A., Christ University, Bangalore Kengeri Campus, Bangalore, India; Grobova T., North Caucasus Federal University, Stavropol, Russian Federation Description An account of the resource As quantum computing becomes more practical, it significantly threatens the conventional cryptographic systems, particularly RSA and ECC, that are critical to worldwide digital security. Post-quantum cryptography (PQC) has emerged as a strong alternative as a response. NIST recently standardized algorithms such as CRYSTALS-Kyber and Dilithium. This survey brings together findings from ten key papers that examine PQC across different fields, including telecommunications, finance, healthcare, IoT, smart cards, and blockchain voting systems. The chosen studies include direct comparisons of digital signature schemes, real-world protocol integration on smart cards, hybrid cryptographic models using AES and blockchain, and strategies for transition based on policy frameworks like NIST CSF 2.0. The survey examines cryptographic flexibility, hardware practicality, readiness for adoption, and the social and economic effects of quantum breaches. It compares algorithm performance, deployment challenges, and specific needs for various areas. This paper is an overview of the current state and future directions for PQC implementation in critical infrastructure. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. Subject The topic of the resource Biometric Authentication; Blockchain Security; Cryptographic Agility; Digital Signatures; Dilithium; Falcon; Financial Cryptography; Hybrid Encryption; IoT Security; Kyber; Post-Quantum Cryptography; Protocol Integration; Quantum-Resistant Algorithms; Smart Cards; SPHINCS+ Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 23673370; ISBN: 978-303207274-0; 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 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 Perera, Anston Peter; Alex, Abel Jo; Bhushan, S. Title A name given to the resource Innovative Power Conversion Solutions for Renewable Energy and Electric Mobility 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 Conference on Smart Systems for Applications in Electrical Sciences, ICSSES 2025; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICSSES64899.2025.11009310" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICSSES64899.2025.11009310</a> <a href="https://www.scopus.com/pages/publications/105008339095?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105008339095?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 Perera A.P., Christ University, Department of Electrical and Electronics Engineering, Bangalore, India; Alex A.J., Christ University, Department of Electrical and Electronics Engineering, Bangalore, India; Bhushan S., Christ University, Department of Electrical and Electronics Engineering, Bangalore, India Description An account of the resource The global transition to renewable energy sources and electrification demands efficient power conversion systems for applications like hybrid electric vehicles (HEVs) and energy storage systems. This paper introduces a novel Multi-Port Bidirectional DC-DC/DC-AC Converter (MBPC) with high efficiency, compact design, and versatile functionality. The MBPC supports two input and two output ports, enabling energy flow between renewable energy sources, storage systems, and loads. Its efficiency exceeds 95%, with a power density of over 10W/cm2. The innovative design minimizes component count, reducing manufacturing costs by 30% compared to conventional converters. Extensive experimentation validates its ability to handle varying current-voltage profiles in multiple operational modes, including DC-DC and DC-AC conversions. With applications in grid-tied systems and electric vehicles, the MBPC addresses efficiency, cost, and flexibility challenges in modern power systems. This work contributes to advancing renewable energy integration and efficient electrification solutions. 2025 IEEE. Subject The topic of the resource DC-AC converter; DC-DC converter; Emobility; MBPC; renewable energy Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833150767-1; 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 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 Functional characterization of Malabar grouper (Epinephelus malabaricus) interferon regulatory factor 9 involved in antiviral response Subject The topic of the resource ADAR families; Epinephelus malabaricus; Interferon; IRF9; Malabar grouper; Nervous necrosis virus Description An account of the resource IRF9 is a crucial component in the JAK-STAT pathway. IRF9 interacts with STAT1 and STAT2 to form IFN-I-stimulated gene factor 3 (ISGF3) in response to type I IFN stimulation, which promotes ISG transcription. However, the mechanism by which IFN signaling regulates Malabar grouper (Epinephelus malabaricus) IRF9 is still elusive. Here, we explored the nd tissue-specific mRNA distribution of the MgIRF9 gene, as well as its antiviral function in E. malabaricus. MgIRF9 encodes a protein of 438 amino acids with an open reading frame of 1317 base pairs. MgIRF9 mRNA was detected in all tissues of a healthy M. grouper, with the highest concentrations in the muscle, gills, and brain. It was significantly up-regulated by nervous necrosis virus infection and poly (I:C) stimulation. The gel mobility shift test demonstrated a high-affinity association between MgIRF9 and the promoter of zfIFN in vitro. In GK cells, grouper recombinant IFN-treated samples showed a significant response in ISGs and exhibited antiviral function. Subsequently, overexpression of MgIRF9 resulted in a considerable increase in IFN and ISGs mRNA expression (ADAR1, ADAR1-Like, and ADAR2). Co-immunoprecipitation studies demonstrated that MgIRF9 and STAT2 can interact in vivo. According to the findings, M. grouper IRF9 may play a role in how IFN signaling induces ISG gene expression in grouper species. 2024 Elsevier B.V. Creator An entity primarily responsible for making the resource Periyasamy T.; Ming-Wei L.; Velusamy S.; Ahamed A.; Khan J.M.; Pappuswamy M.; Viswakethu V. Source A related resource from which the described resource is derived International Journal of Biological Macromolecules, Vol-266 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.ijbiomac.2024.131282" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.ijbiomac.2024.131282</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189558428&doi=10.1016%2Fj.ijbiomac.2024.131282&partnerID=40&md5=61bd5d15eaaa21f9870689c76542aa3e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189558428&doi=10.1016%2fj.ijbiomac.2024.131282&partnerID=40&md5=61bd5d15eaaa21f9870689c76542aa3e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 1418130; PubMed ID: 38565369; CODEN: IJBMD; LS; 2023-2024; Vol-1; 0934-0942 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 Periyasamy T., Laboratory of Molecular Virology and Immunology, Department of Aquaculture, The College of Life Science, National Taiwan Ocean University, Keelung, 202, Taiwan, Department of Biotechnology, Nehru Arts and Science College, Tamil Nadu, Coimbatore, 641105, India; Ming-Wei L., Laboratory of Molecular Virology and Immunology, Department of Aquaculture, The College of Life Science, National Taiwan Ocean University, Keelung, 202, Taiwan, Center of Excellence for the Oceans, National Taiwan Ocean University, Keelung, 202, Taiwan; Velusamy S., Department of Biotechnology, Nehru Arts and Science College, Tamil Nadu, Coimbatore, 641105, India; Ahamed A., Department of Botany and Microbiology, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia; Khan J.M., Department of Food Science and Nutrition, College of Food and Agricultural Sciences, King Saud University, Riyadh, 11451, Saudi Arabia; Pappuswamy M., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Viswakethu V., Department of Biotechnology, Nehru Arts and Science College, Tamil Nadu, Coimbatore, 641105, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Perla, Someswari; Veledendi, Sudhakar; Jaiswal, Pooja; Muppidi, Satish; Mandala, Jyothi; Maram, Balajee Title A name given to the resource Transfer Learning based Analysis of Chest X-rays for Accurate Lung Disease Detection and Interpretation 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 the 3rd International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics, IITCEE 2025; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/IITCEE64140.2025.10915373" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/IITCEE64140.2025.10915373</a> <a href="https://www.scopus.com/pages/publications/105001552491?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105001552491?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 Perla S., Gmr Institute of Technology, Department of Cse - Ai&ml, Andhra Pradesh, Rajam, India; Veledendi S., Sr University, School of Computer Science and Artificial Intelligence, Warangal, India; Jaiswal P., Galgotias University, India; Muppidi S., Gmr Institute of Technology, Departnent of Computer Science and Engineering, Rajam, India; Mandala J., Christ(Deemed to be) University, Department of Computer Science and Engineering, Banglore, India; Maram B., Sr University, School of Computer Science and Artificial Intelligence, Telangana, Warangal, 506371, India Description An account of the resource This is a research paper based on a transfer learning approach with a primary aim at the analysis of chest Xrays for accurate detection and interpretation of lung diseases. The proposed method relies heavily on the use of pretrained deep learning models to enhance diagnostic accuracy and reduce the time and computational resources taken during training. Applying transfer learning to a large chest X-ray dataset, the model successfully detects key patterns associated with common lung diseases, such as pneumonia and tuberculosis. The manuscript encompasses data preprocessing, model finetuning, and performance evaluation and demonstrates huge improvements over the traditional methods both in terms of accuracy and interpretability. It has been experimentally proven that the model is competent enough to provide localization of disease areas, as it can be visualized through heatmaps obtained from predictions, which might further help the radiologists perform their diagnosis tasks. This work advocates for medical imaging automation for the early and efficient detection of lung disease. 2025 IEEE. Subject The topic of the resource chest X-rays; deep learning; lung disease detection; medical imaging; Transfer learning Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833151591-1; 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 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 Enhancements to greedy web proxy caching algorithms using data mining method and weight assignment policy Subject The topic of the resource Classification; Fuzzy bi-clustering; Web proxy caching; Weight assignment policy Description An account of the resource A Web proxy caching system is an intermediary between the users and servers that tries to alleviate the loads on the servers by caching selective Web objects and behaves as the proxy for the server and service the requests that are made to the servers by the users. In this paper the performance of a proxy system is measured by the number of hits at the proxy. A higher number of hits at the proxy server reflects the effectiveness of the proxy system. The number of hits is determined by the replacement policies chosen by the proxy systems. Traditional replacement policies that are based on time and size are reactive and do not consider the events that will possibly happen in the future. The outcomes of the paper are proactive strategies that augment the traditional replacement policies with data mining techniques. In this paper, the performances of the greedy replacement policies such as GDS, GDSF and GD* are adapted by the data mining method and weight assignment policy. Experiments were conducted on various data sets. Hit ratio and byte hit ratio were chosen as parameters for performance. 2018 ISSN. Creator An entity primarily responsible for making the resource Pernabas J.B.; Fidele S.F. Source A related resource from which the described resource is derived International Journal of Innovative Computing, Information and Control, Vol-14, No. 4, pp. 1311-1326. Publisher An entity responsible for making the resource available ICIC International Date A point or period of time associated with an event in the lifecycle of the resource 2018-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.24507/ijicic.14.04.1311" target="_blank" rel="noreferrer noopener">https://doi.org/10.24507/ijicic.14.04.1311</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050560787&doi=10.24507%2Fijicic.14.04.1311&partnerID=40&md5=0bad8548cedc93f8cb60bf4363d10ac7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050560787&doi=10.24507%2fijicic.14.04.1311&partnerID=40&md5=0bad8548cedc93f8cb60bf4363d10ac7</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 13494198 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 Pernabas J.B., Department of Computer Science and Engineering, Faculty of Engineering, Christ University, Kengeri Campus Mysore Road, Kanmanike, Kumbalgodu, Bangalore, 560074, India; Fidele S.F., Department of Computer Science and Engineering, Pondicherry Engineering College, Pillaichavadi, 605014, Puducherry, 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 Enhancing Greedy Web Proxy caching using Weighted Random Indexing based Data Mining Classifier Subject The topic of the resource Clustering; Data Mining; GD? ; GDS; GDSF; Proxy; Random indexing Description An account of the resource Web Proxy caching system is an intermediary between the Web users and servers that try to alleviate the loads on the origin servers by caching particular Web objects and behaves as the proxy for the server and services the requests that are made to the servers. In this paper, the performance of a Proxy system is measured by the number of hits at the Proxy. Higher number of hits at the Proxy server reflects the effectiveness of the Proxy system. The number of hits is determined by the replacement policies chosen by the Proxy systems. Traditional replacement policies that are based on time and size are reactive and do not consider the events that will possibly happen in the future. The performance of the web proxy caching system is improved by adapting Data Mining Classifier model based on Web User clustering and Weighted Random Indexing Methods. The outcome of the paper are proactive strategies that augment the traditional replacement policies such as GDS, GDSF, GD? which uses the Data Mining techniques. 2019 Creator An entity primarily responsible for making the resource Pernabas J.B.; Fidele S.F.; Vaithinathan K.K. Source A related resource from which the described resource is derived Egyptian Informatics Journal, Vol-20, No. 2, pp. 117-130. 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 2019-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.eij.2019.01.001" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.eij.2019.01.001</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059870146&doi=10.1016%2Fj.eij.2019.01.001&partnerID=40&md5=b48ca6836536b0dc9e0fe032db032972" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059870146&doi=10.1016%2fj.eij.2019.01.001&partnerID=40&md5=b48ca6836536b0dc9e0fe032db032972</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 11108665 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 Pernabas J.B., Department of Computer Science and Engineering, Faculty of Engineering, CHRIST(Deemed To be University), Kengeri Campus, Kanmanike, Bangalore, 560074, Karnataka, India; Fidele S.F., Department of Computer Science and Engineering, Pondicherry Engineering College, ECR, Pillaichavady, Pondicherry, 605014, India; Vaithinathan K.K., Department of Computer Engineering, Karaikal Polytechnic College, Varichikudy, Karaikal-609609, 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 Creating a Logic Divider Based on BCD and Utilizing the Vedic Direct Flag Method Subject The topic of the resource Direct Flag Vedic Division Process; Reversible Gate technique; RSA Cryptographic Description An account of the resource Reversible logic has potential for a variety of applications demanding low energy usage since it prevents information loss and energy waste. The purpose of this work is to design a new Vedic divider circuit with reversible gates. Efficiency in quantum and ASIC parameters is demonstrated by the Reversible Direct Flag Vedic Division Method (RDFVDM), which has been devised. Block-level reversible gates are used in the RDFVDM to provide benefits including lower quantum costs and less trash outputs. The performance of Cadence EDA Tool is validated by simulation trials. Based on a comparative examination utilizing current methodologies, RDFVDM performs better than comparable designs. Interestingly, it improves energy usage by 26%. Moreover, RDFVDM performs exceptionally well in terms of quantum cost while employing the RSA cryptographic technique, efficiently managing 1276,293 constant inputs and 311 garbage outputs. 2024 by the Perumal B, Balamanikandan A, Arunraja A, Venkatachalam K, Shaik Rahamtula, Dhanalakshmi M. Creator An entity primarily responsible for making the resource Perumal B.; Balamanikandan A.; Arunraja A.; Venkatachalam K.; Rahamtula S.; Dhanalakshmi M. Source A related resource from which the described resource is derived International Journal of Electrical and Electronics Research, Vol-12, No. 3, pp. 896-904. Publisher An entity responsible for making the resource available Forex Publication 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/10.37391/ijeer.120321" target="_blank" rel="noreferrer noopener">https://doi.org/10.37391/ijeer.120321</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202162511&doi=10.37391%2Fijeer.120321&partnerID=40&md5=3772a4de8df5f32bb483402ccfac6def" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202162511&doi=10.37391%2fijeer.120321&partnerID=40&md5=3772a4de8df5f32bb483402ccfac6def</a> Rights Information about rights held in and over the resource All Open Access; Hybrid Gold Open Access Relation A related resource ISSN: 2347470X 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 Perumal B., Adhiyamaan college of engineering, Hosur, India; Balamanikandan A., Mohan Babu University (Erstwhile SreeVidyanikethan Engineering College), Tirupati, India; Arunraja A., Christ University, Bangaluru, India; Venkatachalam K., Audisankara college of engineering and technology, Gudur, India; Rahamtula S., Ramireddy Subbarami Reddy (RSR) Engineering College, Kavali, India; Dhanalakshmi M., Selvam College of Technology, Namakkal, India