214 20 16481 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Singh, Shailender; Jain, Rishabh Upendra; Kumar, Nishant Title A name given to the resource Convergence of Health Expenditure and Health Outcomes in Central Europe and the Baltic Region 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 Eastern European Economics;Volume;63;Issue;1;pp.111-124 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1080/00128775.2024.2359414" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/00128775.2024.2359414</a> <a href="https://www.scopus.com/pages/publications/85194556909?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85194556909?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 Singh S., Symbiosis Law School, Symbiosis International Deemed University, Pune, Noida, India; Jain R.U., Symbiosis Centre for Management Studies, Noida, Symbiosis International Deemed University, Pune, India; Kumar N., School of Business and Management, CHRIST (Deemed to be University), Bangalore, India Description An account of the resource This research work examines the convergence of health expenditure in Central Europe and the Baltic region. The study reveals the absolute convergence in per capita health expenditures, indicating similar health outcomes for all eleven countries of the region. However, there is a divergence in health expenditure and outcomes across the eleven countries. Notably, public health expenditure diverges in Denmark, Estonia, Finland, and Norway, while, private health expenditure converges in Poland, Russia, and Sweden. Despite an overall convergence in life expectancy at birth across the countries, mortality rates due to non-communicable diseases only converge in Estonia. 2024 Taylor & Francis Group, LLC. Subject The topic of the resource Baltic countries; convergence; health expenditure; health outcomes Publisher An entity responsible for making the resource available Routledge Relation A related resource ISSN: 128775; 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 Convergence of retail banking interest rates to households in euro area: time-varying measurement and determinants Subject The topic of the resource Core and periphery; Determinants of convergence; Euro area; Financial crisis; Panel regression; Time-varying retail banking integration Description An account of the resource This study measures time-varying progress of retail banking (to households) interest rates convergence and examines its determinants for twelve countries of the euro area, between 2003 and 2014. First, we measure convergence of interest rates using five different time-varying indicators, namely asymmetric dynamic conditional correlation (ADCC), beta convergence, sigma convergence, variance ratio, and dynamic cointegration. We then estimate panel regressions for each type of interest rate to identify the determinants of convergence over pre-crisis and crisis periods. The estimated ADCC is employed as the dependent variable and explanatory variables measure potential macroeconomic, external linkages, industry-specific, institutional and sociological determinants. The results reveal that convergence is weak and heterogeneous across sub-periods (pre-crisis and crisis), economic groups (core and periphery), product type (savings and credit) and products maturities (short, medium and long). Among the fundamental determinants, inflation, output correlation, and sociological factors strongly impact convergence, however, the explanatory power of determinants weakens during the crisis period. 2019, Springer-Verlag GmbH Germany, part of Springer Nature. Creator An entity primarily responsible for making the resource Gupta P.; Sehgal S. Source A related resource from which the described resource is derived International Economics and Economic Policy, Vol-17, No. 1, pp. 25-65. Publisher An entity responsible for making the resource available Springer Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s10368-019-00452-3" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s10368-019-00452-3</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075922897&doi=10.1007%2Fs10368-019-00452-3&partnerID=40&md5=673eee81f13848af64490605cc5ba1ba" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075922897&doi=10.1007%2fs10368-019-00452-3&partnerID=40&md5=673eee81f13848af64490605cc5ba1ba</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 16124804 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 Gupta P., Institute of Management, CHRIST (Deemed to be University), Hosur Rd, Bengaluru, 560029, Karnataka, India; Sehgal S., Department of Financial Studies, University of Delhi, South Campus, New Delhi, 110021, 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 Convergence of retail banking interest rates to households in euro area: Time-varying measurement and determinants / Subject The topic of the resource Economics Description An account of the resource International Economics and Economic Policy, Vol.17, Issue 1, pp.25-65 Creator An entity primarily responsible for making the resource Priyanshi Gupta and Sanjay Sehgal Source A related resource from which the described resource is derived <a href="https://link.springer.com/article/10.1007/s10368-019-00452-3" target="_blank" title="Convergence of retail banking interest rates to households in euro area: Time-varying measurement and determinants" rel="noreferrer noopener">https://link.springer.com/article/10.1007/s10368-019-00452-3</a> Publisher An entity responsible for making the resource available Springer Date A point or period of time associated with an event in the lifecycle of the resource 2019-12-31 Language A language of the resource English Type The nature or genre of the resource Journal Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 Convergent replicated data structures that tolerate eventual consistency in NoSQL databases Subject The topic of the resource CRDT; Distributed system; Eventual consistency models; LWW Registers; MVR Registers; NoSQL; Replicated Data Structures Description An account of the resource The Eventual consistency is a new type of database approach that has emerged in the field of NoSQL, which provides tremendous benefits over the traditional databases as it allows one to scale an application to new levels. The consistency models used by NoSQL database is explained in this paper. It elaborates how the eventually consistent data structure ensures consistency on storage system with multiple independent components which replicate data with loose coordination. The paper also discusses the eventually consistent model that ensures that all updates are applied in a consistent manner to all replicas. 2013 IEEE. Creator An entity primarily responsible for making the resource Tauro C.J.M.; Ganesan N.; Easo A.A.; Mathew S. Source A related resource from which the described resource is derived Proceedings - 2013 3rd International Conference on Advances in Computing and Communications, ICACC 2013, pp. 70-75. Date A point or period of time associated with an event in the lifecycle of the resource 2013-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICACC.2013.109" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICACC.2013.109</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84893258992&doi=10.1109%2FICACC.2013.109&partnerID=40&md5=46d73de07a1cea34bb18f03abe91c32b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-84893258992&doi=10.1109%2fICACC.2013.109&partnerID=40&md5=46d73de07a1cea34bb18f03abe91c32b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-076955033-6 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Tauro C.J.M., Center for Research, Christ University, Bangalore, Hosur Road, India; Ganesan N., Department of MCA, RICM, Bangalore, India; Easo A.A., Department of Computer Science, Christ University, Bangalore, Hosur Road, India; Mathew S., Department of Computer Science, Christ University, Bangalore, Hosur Road, 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 Gupta, Priyanka; Monga, Suhasini; Logeshwaran, J.; Kaur, Damandeep Title A name given to the resource Converging Deep Learning and Cloud Computing: A Scalable and Efficient Approach for Modern AI Infrastructure 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 2nd International Conference on Advanced Computing and Emerging Technologies, ACET 2025; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ACET67282.2025.11430377" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ACET67282.2025.11430377</a> <a href="https://www.scopus.com/pages/publications/105037953850?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105037953850?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 Gupta P., Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India; Monga S., Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India; Logeshwaran J., Christ University, Department of Computer Science, Karnataka, Bengaluru, India; Kaur D., Chandigarh University, Department of Computer Science Engineering, Punjab, Mohali, India Description An account of the resource Deep learning has proven to be a powerful approach to solving challenging problems, ranging from natural language processing, speech recognition, to computer vision. The proposed model has capable of matching the expanding amount of facts as well as complexity of the algorithms is demands of deep researching methodologies. These demands cannot be met with traditional computing environments. This is why cloud computing technologies have developed, offering a scalable and affordable alternative for executing deep learning algorithms. Cloud computing platforms provide the resources necessary to run deep learning workloads including compute, storage, and networking. This means you no longer have to spend lots of money on expensive hardware and makes it easier for teams and researchers to deploy and train deep learning models faster. Cloud computing has ushered in a new era of deep learning developments by mobilizing the power of specialized hardware, notably GPUs, to accelerate the training and performance of deep learning models. 2025 IEEE. Subject The topic of the resource Artificial Intelligence; Cloud Computing; Deep Learning; Hardware; Infrastructure Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833156783-5; 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 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 Conversational Agents and Chatbots: Current Trends Description An account of the resource Languages facilitate the communication and interaction process among people. Computers learn to communicate with humans intelligently with the help of conversational agents and chatbots based on Natural Language Processing (NLP). Conversational agents and chatbots are gaining popularity in various applications. The development of chatbots or conversational agents is tightly coupled with an organizations customer service requirement. However, the background procedures that power the bots brain are more or less dependent on Artificial Intelligence-based processes. NLP mechanisms powered by various Deep Learning techniques are often used in the training and development of such intelligent agents. These bots inevitably become more competent as they interact with more people. The interactions between a customer and the bot are usually used as data in further training iterations. Chatbots are likely to respond with faster and more precise suggestions leading to solutions for frequently asked questions. Therefore, the current trends indicate the need for a supplementary system rather than substituting human agents existing customer service. The customer experience and intelligence of the chatbots are improved with the help of data analysis and training with the use of Deep Learning techniques. The chapter covers the current trends of conversational agents and chatbots, how the various Artificial Intelligence techniques have transformed the development of multiple architectures of these intelligent systems, and it compares the different state-of-the-art NLP-based chatbot architectures. 2024 selection and editorial matter, Anitha S. Pillai and Roberto Tedesco. Creator An entity primarily responsible for making the resource Joseph A.; Eapen N.G. Source A related resource from which the described resource is derived Machine Learning and Deep Learning in Natural Language Processing, pp. 17-52. Publisher An entity responsible for making the resource available CRC Press Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003296126-4" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003296126-4</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173831295&doi=10.1201%2F9781003296126-4&partnerID=40&md5=bf39bfcb76274ce0212916d5232a7711" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173831295&doi=10.1201%2f9781003296126-4&partnerID=40&md5=bf39bfcb76274ce0212916d5232a7711</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-100096085-3; 978-103226463-9 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Joseph A., Department of Data Science, CHRIST Deemed to be University, Pune Lavasa Campus, India; Eapen N.G., Department of Data Science, CHRIST Deemed to be University, Pune Lavasa Campus, 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 Conversion of alkynes into 1,2-diketones using HFIP as sacrificial hydrogen donor and DMSO as dihydroxylating agent Subject The topic of the resource 1,2-Diketones; Alkyne; Dihydroxylation; HFIP Description An account of the resource A metal-free and hypervalent iodine free conversion of internal alkynes into 1,2-diketo compounds has been described. The efficacy of the present protocol rely on the use of HFIP (1,1,1,3,3,3-Hexafluoro-2-propanol) as reducing agent of alkynes and DMSO as dihydroxylating agent of olefins to acquire the desired chemical transformations. The obtained 1,2-diketones were further transformed into useful derivatives. 2020 Elsevier Ltd Creator An entity primarily responsible for making the resource Gujjarappa R.; Vodnala N.; Putta V.P.R.K.; Ganga Reddy V.; Malakar C.C. Source A related resource from which the described resource is derived Tetrahedron Letters, Vol-61, No. 10 Publisher An entity responsible for making the resource available Elsevier Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.tetlet.2019.151588" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.tetlet.2019.151588</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077918995&doi=10.1016%2Fj.tetlet.2019.151588&partnerID=40&md5=3c47fad62dd7e821f60d47777ec118cf" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077918995&doi=10.1016%2fj.tetlet.2019.151588&partnerID=40&md5=3c47fad62dd7e821f60d47777ec118cf</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 404039; CODEN: TELEA 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 Gujjarappa R., Department of Chemistry, National Institute of Technology Manipur, Langol, Imphal, 795004, Manipur, India; Vodnala N., Department of Chemistry, National Institute of Technology Manipur, Langol, Imphal, 795004, Manipur, India; Putta V.P.R.K., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, 560029, India; Ganga Reddy V., Centre for Advanced Materials & Industrial Chemistry (CAMIC), School of Science, RMIT University, GPO Box 2476, Melbourne, 3001, Australia; Malakar C.C., Department of Chemistry, National Institute of Technology Manipur, Langol, Imphal, 795004, Manipur, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Convolutional Autoencoder Based Feature Extraction and KNN Classifier for Handwritten MODI Script Character Recognition Subject The topic of the resource Autoencoder; CNN; Handwritten character recognition; KNN; MODI script Description An account of the resource Character recognition is the process of identifying and classifying the images of printed or handwritten text and the conversion of that into machine-coded text. Deep learning techniques are efficiently used in the character recognition process. A Convolutional Autoencoder based technique for the character recognition of handwritten MODI script is proposed in this paper. MODI script was used for writing Marathi until the twentieth century. Though at present, Devnagari is taken over as the official script of Marathi, the historical importance of MODI script cannot be overlooked. MODI character recognition will not be an easy feat because of the various complexities of the script. Character recognition-related research of MODI script is in its initial stages. The proposed method is aimed to explore the use of a deep learning-based method for feature extraction and thereby building an efficient character recognition system for isolated handwritten MODI script. At the classification stage, the features extracted from the autoencoder are categorized using KNN classifier. Performance comparison of two different classifiers, such as KNN and SVM, is also carried out in this work. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Joseph S.; George J. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-290, pp. 142-149. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-16-4486-3_15" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-4486-3_15</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115101121&doi=10.1007%2F978-981-16-4486-3_15&partnerID=40&md5=29f9d787d93c8cf3f0f17f1a863b3e82" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115101121&doi=10.1007%2f978-981-16-4486-3_15&partnerID=40&md5=29f9d787d93c8cf3f0f17f1a863b3e82</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981164485-6 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Joseph S., Science and Commerce for Women, Carmel College of Arts, Nuvem, Goa, India; George J., Christ University, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications 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 SARITHADEVI, S.; RAJESH, R. Title A name given to the resource Convolutional bi-directional autoencoder assisted generative adversarial de-blurring framework for palm leaf character analysis 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 Sadhana - Academy Proceedings in Engineering Sciences;Volume;50;Issue;4;Article No.;269; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s12046-025-02902-y" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s12046-025-02902-y</a> <a href="https://www.scopus.com/pages/publications/105018683521?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105018683521?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 SARITHADEVI S., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India, Department of Computer Science, Naipunnya Institute of Management and Information Technology, Kerala, Thrissur, 680308, India; RAJESH R., Department of Statistics and Data Science, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India Description An account of the resource Palm leaf manuscripts have historically educated people on a variety of topics, including astronomy, mathematics, astrology and medicine. These manuscripts are constructed from dried palm leaves, which contain a wealth of information that remains largely untapped due to the challenges of digitalization and transcription. Recognizing the characters found in palm leaf manuscripts is a complex problem because blurred images of these manuscripts often conceal critical information. The present study proposes an automated de-blurring model to effectively identify exact Malayalam characters in palm leaf manuscripts. The input images are gathered from a real-time dataset to address this challenge. The Weighted Guided Image Filtering (WG_IF) method is employed to extract the detail layer, which not only reveals important information about the characters but also eliminates unwanted noise. The detailed layer is then input into the proposed Convolutional Bi-directional AutoEncoder assisted Generative Adversarial De-blurring (CBiAE_GADeblur) framework. This framework comprises two main blocks: the generator and the discriminator. The generator block uses the Convolutional Bi-directional Long Short Term Memory with AutoEncoder (CBLSTM_AE) method to produce de-blurred images. The discriminator block classifies these images as real or fake, enhancing the prediction accuracy of the palm characters. The proposed method demonstrates a superior accuracy rate of 98.25% in Prasavachikilsa and Vishavydyam datasets and exhibits lower time complexity. The motivation behind this research is to overcome the significant barriers posed by blurred palm leaf images, thereby unlocking and preserving the invaluable knowledge contained within these historical documents. Indian Academy of Sciences 2025. Subject The topic of the resource AutoEncoder; Bi-LSTM; CNN; discriminator; GANet; Guided image filter; RNN Publisher An entity responsible for making the resource available Springer Relation A related resource ISSN: 2562499; CODEN: SAPSE 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 Kumar, Pankaj; Thomas, Merin; Manur, Manohar; Pani, Alok Kumar Title A name given to the resource Convolutional Neural Network based Di-Strategy Cheetah Optimization Algorithm for Automatic Diabetes Prediction 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 Computing;Volume;24;Issue;2;pp.328-335 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.47839/ijc.24.2.4016" target="_blank" rel="noreferrer noopener">https://doi.org/10.47839/ijc.24.2.4016</a> <a href="https://www.scopus.com/pages/publications/105010074256?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105010074256?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 Kumar P., Department of Computer Science and Engineering, Government Engineering College, Vaishali, India; Thomas M., School of Computer science, RV University, Bengaluru, India; Manur M., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bengaluru, India; Pani A.K., Birla School of Applied Sciences, Birla Global University, Bhubaneswar, India Description An account of the resource Diabetes is a chronic metabolic disease characterized by elevated blood sugar levels. Diabetes prediction leverages patient data to assess the risk of developing the condition, facilitating early diagnosis and intervention. However, existing models struggle to capture the complex interactions between risk factors due to limited feature representation, leading to inaccurate predictions. This research proposes a Convolutional Neural Network-based Di-Strategy Cheetah Optimization Algorithm (CNN-DS-COA) for automatic diabetes prediction using patient data. The COA is enhanced with tent chaotic mapping and an adaptive search agent, which improves population diversity distribution and convergence speed. Initially, the Pima Indians Diabetes Database (PIMA) and Germany datasets are employed to evaluate the performance of CNN-DS-COA. Min-max normalization is applied to scale the data within a uniform range while preserving relationships among values. The CNN is then used for automatic diabetes prediction, with DS-COA fine-tuning the CNNs parameter values effectively using two strategies. The proposed CNN-DS-COA achieves superior accuracy, with 99.90% and 99.72% on the PIMA and Frankfurt Hospital, Germany datasets, respectively, outperforming existing methods such as stacked ensemble approaches and statistical predictive models. 2025, Research Institute of Intelligent Computer Systems. All rights reserved. Subject The topic of the resource adaptive search agent; convolutional neural network; di-strategy cheetah optimization algorithm; min-max normalization; tent chaotic mapping Publisher An entity responsible for making the resource available Research Institute of Intelligent Computer Systems Relation A related resource ISSN: 17276209; 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 Convolutional neural network for stock trading using technical indicators Subject The topic of the resource Artificial neural network; Convolutional neural network; Deep learning; Gramian angular field; Stock trading and technical indicators Description An account of the resource Stock market prediction is a very hot topic in financial world. Successful prediction of stock market movement may promise high profits. However, an accurate prediction of stock movement is a highly complicated and very difficult task because there are many factors that may affect the stock price such as global economy, politics, investor expectation and others. Several non-linear models such as Artificial Neural Network, fuzzy systems and hybrid models are being used for forecasting stock market. These models have limitations like slow convergence and overfitting problem. To solve the aforementioned issues, this paper intends to develop a robust stock trading model using deep learning network. In this paper, a stock trading model by integrating Technical Indicators and Convolutional Neural Network (TI-CNN) is developed and implemented. The stock data investigated in this work were collected from publicly available sources. Ten technical indicators are extracted from the historical data and taken as feature vectors. Subsequently, feature vectors are converted into an image using Gramian Angular Field and fed as an input to the CNN. Closing price of stock data are manually labelled as sell, buy, and hold points by determining the top and bottom points in a sliding window. The duration considered over a period from January 2009 to December 2018. Prediction ability of the developed TI-CNN model is tested on NASDAQ and NYSE data. Performance indicators such as accuracy and F1 score are calculated and compared to prove effectiveness of the proposed stock trading model. Experimental results demonstrate that the proposed TI-CNN achieves high prediction accuracy than that of the earlier models considered for comparison. 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. Creator An entity primarily responsible for making the resource Chandar S.K. Source A related resource from which the described resource is derived Automated Software Engineering, Vol-29, No. 1 Publisher An entity responsible for making the resource available Springer Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s10515-021-00303-z" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s10515-021-00303-z</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122152758&doi=10.1007%2Fs10515-021-00303-z&partnerID=40&md5=b2ba6f6eba75f6c099414c109c676a25" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122152758&doi=10.1007%2fs10515-021-00303-z&partnerID=40&md5=b2ba6f6eba75f6c099414c109c676a25</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9288910; CODEN: ASOEE 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 Chandar S.K., School of Business & Management, CHRIST (Deemed To Be University), Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 Convolutional Neural Networks for Automated Detection and Classification of Plasmodium Species in Thin Blood Smear Images Subject The topic of the resource automated diagnosis; convolutional neural networks; malaria; plasmodium; thin blood smear Description An account of the resource There has been a continued transmission of malaria throughout the world due to protozoan parasites from the Plasmodium species. As for treatment and control, it is very important to make correct and more efficient diagnostic. In order to observe the efficiency of the proposed approach, This Research built a Convolutional Neural Network (CNN) model for Automated detection and classification on thin blood smear images of Plasmodium species. This model was built on a corpus of 27558 images, included five Plasmodium species. Our CNN model got an overall accuracy of 96% for the cheating detection with an F 1score of 0.94. In the detection of the presence of malaria parasites the test accuracy conducted was as follows: 8%. Species-specific classification accuracies were: P. falciparum (95.7%), P. vivax (94.9%), P. ovale (93.2%), P. malaria (92.8%) and P. Knowles (91, 5%). As for the model SL was found to have sensitivity of 97.3% And the specificity in this case is 9 6. 1 %. The proposed CNN-based approach provides a sound and fully automated solution for malarial parasite detection and species determination, which could lead to better diagnostic performances in day-to-day practices. 2024 IEEE. Creator An entity primarily responsible for making the resource Mahesh Kumar A.S.; Maindola M.; Salis V.E.; Mitra A.; Janumala T.; Vijayan A. Source A related resource from which the described resource is derived 2024 1st International Conference on Software, Systems and Information Technology, SSITCON 2024 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 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/SSITCON62437.2024.10797182" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/SSITCON62437.2024.10797182</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215667362&doi=10.1109%2FSSITCON62437.2024.10797182&partnerID=40&md5=57809e5b65d0b54e86fcad30779dabe3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215667362&doi=10.1109%2fSSITCON62437.2024.10797182&partnerID=40&md5=57809e5b65d0b54e86fcad30779dabe3</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835035293-1 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 Mahesh Kumar A.S., Maharaja Institute of Technology, Department of Electronics and Communication Engineering, Belawadi, India; Maindola M., Graphic Era Deemed to Be University, Department of Computer Science and Engineering, Dehradun, India; Salis V.E., Global Academy of Technology, Department of Information Science and Engineering, Bengaluru, India; Mitra A., Symbiosis Law School, Pune, Symbiosis International (Deemed University), Symbiosis Centre for Advanced Legal Studies and Research (SCALSAR), Pune, India; Janumala T., R v College of Engineering, Department of Electronics and Instrumentation Engineering, Bengaluru, India; Vijayan A., Christ University, Department of Computer Science and Engineering, 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 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 Cooperation affects NGO staff performance patterns Subject The topic of the resource compensation benefits; motivation; NGO; non-governmental organisation; organisational performance patterns; team trust; transparency Description An account of the resource In order to optimise employee productivity and overall profitability, non-profits must invest heavily in their human resources. Contrarily, the focus of this study will be on the value of cooperation and the strategies the non-governmental organisation (NGO) should use to improve the performance of the bank as a whole. Once the data have been collected using quantitative and qualitative techniques, SPSS descriptive statistics will be utilised to maintain the findings and support the research hypothesis. According to the study, qualities like trust, camaraderie, job happiness, and benefits directly impact employees productivity at the bank. The degree of teamwork among co-workers directly affects how productive an employee is. Using the statistical program SPSS, managers and staff of NGOs were surveyed; the results revealed a favourable correlation between employee performance and NGO cooperation. When employees cooperate at work, their productivity increases, and the efficacy of the organisations they work for rises. Good news for charitable organisations. Because of this, the collaborative NGO outperforms the non-collaborative NGO in terms of productivity. It was found that better communication results in greater cooperation amongst NGOs. Copyright 2023 Inderscience Enterprises Ltd. Creator An entity primarily responsible for making the resource Oberai H.; Mishra B.S.; Anand I.M.; Soundararajan L.R.A.; Singh S.; Kumar T. Source A related resource from which the described resource is derived International Journal of Intellectual Property Management, Vol-13, No. 45750, pp. 494-511. Publisher An entity responsible for making the resource available Inderscience Publishers 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/10.1504/IJIPM.2023.134066" target="_blank" rel="noreferrer noopener">https://doi.org/10.1504/IJIPM.2023.134066</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174350252&doi=10.1504%2FIJIPM.2023.134066&partnerID=40&md5=1ff5ce941398e7427ebe499df2fd1476" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174350252&doi=10.1504%2fIJIPM.2023.134066&partnerID=40&md5=1ff5ce941398e7427ebe499df2fd1476</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 14789647 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 Oberai H., Department of Management, GLA University, Mathura, India; Mishra B.S., Department of Management, L.N. Mishra College of Business Management, Bihar, India; Anand I.M., School of Business Management, Christ (Deemed to be University), NCR, Ghaziabad, India; Soundararajan L.R.A., Physical Therapy Department, College of Applied Medical Sciences, University of Hail, Hail Province, Saudi Arabia; Singh S., Department of Management, NIET, Greater Noida, India; Kumar T., College of Science and Humanities at Sulail, Prince Sattam Bin Abdulaziz University, Al Kharj, Saudi Arabia 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 COOPERATIVE FEDERALISM IN A MULTINATIONAL COUNTRY: Examining the Case of Pakistan Description An account of the resource Pakistan, as a multilingual and multiethnic country, has had to deal with issues of ethnic conflict and separatism. Cooperative federalism is used as a device by countries across the world to accommodate and manage the immense diversities they possess. This chapter examines the need for cooperative federalism in a multinational country like Pakistan to strengthen its federal model, ensuring that ethnic groups in the country do not feel insecure and alienated from the union, demanding secession. Beyond national security concerns, cooperative federalism in Pakistan will ensure economic security, human rights, social security, effective policymaking and much more, which form the basis of a welfare state. 2024 selection and editorial matter, M.J. Vinod, Stefy V Joseph, Joseph Chacko Chennatuserry and Dimitris N. Chryssochoou; individual chapters, the contributors. Creator An entity primarily responsible for making the resource Joseph S.V.; Prabhu J.R. Source A related resource from which the described resource is derived Cooperative Federalism in South Asia and Europe: Contemporary Issues and Trends, pp. 228-245. Publisher An entity responsible for making the resource available Taylor and Francis 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/10.4324/9781003461197-18" target="_blank" rel="noreferrer noopener">https://doi.org/10.4324/9781003461197-18</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180865766&doi=10.4324%2F9781003461197-18&partnerID=40&md5=697b949b85c2bafc4797a5a73935e48a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180865766&doi=10.4324%2f9781003461197-18&partnerID=40&md5=697b949b85c2bafc4797a5a73935e48a</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-100382628-6; 978-103245167-1 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 Joseph S.V., Department of International Studies, Political Science, and History, CHRIST (Deemed to be University), Bangalore, India; Prabhu J.R. 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 Book Faculty Publications- Book Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Cooperative Federalism in South Asia and Europe: Contemporary Issues and Trends Description An account of the resource This book explores the challenges, opportunities, and trends impacting the working of federations in South Asia and Europe. It deliberates on the changing socio-economic realities, challenges facing the existing structures of governance, degrees of consociationalism, and the growing aspirations of people in South Asia and Europe.Through case studies from Greece, Germany, Austria, Switzerland, Spain, France, Sri Lanka, Pakistan, Nepal, Maldives, Bhutan, and India, the volume focuses on critical issues relating to cooperative federalism its complexities, institutional dilemmas, and trends in South Asia and Europe. It discusses a variety of themes relevant to Cooperative Federalism including federal-state relations; cooperative governance; constitution; multiculturalism, fiscal relations, democratization, devolution of powers, consociationalism, and global citizenship in South Asia and Europe. The book further emphasizes the need to strike a balance between the federal government and the constituent units in these two regions. Topical and lucid, this book will be of interest to teachers, scholars, and researchers of political science, comparative government and politics, federalism, South Asian politics, European politics, governance studies, and political studies. 2024 selection and editorial matter, M.J. Vinod, Stefy V Joseph, Joseph Chacko Chennatuserry and Dimitris N. Chryssochoou; individual chapters, the contributors. Creator An entity primarily responsible for making the resource Vinod M.J.; Joseph S.V.; Chennatuserry J.C.; Chryssochoou D.N. Source A related resource from which the described resource is derived Cooperative Federalism in South Asia and Europe: Contemporary Issues and Trends, pp. 1-9. Publisher An entity responsible for making the resource available Taylor and Francis 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/10.4324/9781003461197" target="_blank" rel="noreferrer noopener">https://doi.org/10.4324/9781003461197</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180901743&doi=10.4324%2F9781003461197&partnerID=40&md5=54a9e8d8922336f51581ab4f31afec01" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180901743&doi=10.4324%2f9781003461197&partnerID=40&md5=54a9e8d8922336f51581ab4f31afec01</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-100382628-6; 978-103245167-1 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 Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Vinod M.J., Department of International Studies, Political Science, and History, CHRIST (deemed-to-be) University, Bangalore, India; Joseph S.V., Department of International Studies, Political Science, and History, CHRIST (Deemed to be University), Bangalore, India; Chennatuserry J.C., CHRIST (Deemed to be University), Bangalore, India; Chryssochoou D.N., Department of Political Science, Kapodistrian University of Athens, Greece 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 Davis, Antony; Lakshmypriya, K.; Basha, Md Shaik Amzad; Daphne, Simita Title A name given to the resource Cooperative Social Entrepreneurship Among Rural Artisans: A YouTube-Based NLP Analysis of Environmental Practices and Livelihood Outcome 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 6th International Conference on IoT Based Control Networks and Intelligent Systems, ICICNIS 2025;pp.1766-1771 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICICNIS66685.2025.11315777" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICICNIS66685.2025.11315777</a> <a href="https://www.scopus.com/pages/publications/105032740157?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105032740157?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 Davis A., CHRIST (Deemed to be University), Christ Academy Institute for Advanced Studies, School of Business & Management, Bangalore, India; Lakshmypriya K., CHRIST (Deemed to be University), School of Business & Management, Bangalore, India; Basha M.S.A., Gandhi Institute of Technology and Management ((Deemed to be University), Christ Academy Institute for Advanced Studies, GITAM School of Business, Bangalore, India; Daphne S., Christ Academy Institute for Advanced Studies, Department of Management Studies, Bangalore, India Description An account of the resource This paper presents a novel data-driven study of rural artisans in Karnataka by leveraging YouTube video transcripts and natural language processing (NLP) to examine how cooperative social entrepreneurship (CSE) relates to environmental practices and livelihood outcomes. CSE initiatives in India typically rely on primary surveys to understand how artisanal groups adopt eco-friendly practices and how this affects their livelihoods, but such data are costly to collect and difficult to scale. We investigate whether publicly available video narratives can serve as a scalable secondary data source for studying CSE among rural artisans. We compile a corpus of YouTube videos on banana-fibre craft, Anegundi/Hampi artisan collectives, and Karnataka handicrafts. Audio is transcribed using an automatic speech recognition pipeline, and the resulting bilingual/multilingual text (English-Hindi-Kannada) is processed with a rule-based NLP tagger to identify three constructs central to our CSE perspective: (i) artisan and community references (CSE signals), (ii) environmental practices (e.g., "banana waste to fibre,""eco-friendly,""sustainable"), and (iii) livelihood/product mentions (e.g., baskets, mats, runners) as observable proxies for livelihood outcomes. On top of this, we apply text mining techniques topic modeling, sentiment analysis, and supervised classification with fine-tuned transformer models (BERT) to classify transcript segments (e.g., environmental focus vs livelihood focus) and extract key thematic topics. Experimental results show that our BERT-based classifier achieves over 90% accuracy, substantially outperforming traditional baselines such as TF-IDF+SVM and LSTM. The videos frequently encode both CSE signals and explicit environmental practices, and a non-trivial subset articulates marketable products, suggesting that platform narratives can partially capture the CSE-environment-outcome chain without questionnaires. However, explicit statements about market, seasonality, or constraint variables remain sparse, revealing limitations of video-based secondary data. The study contributes methodologically by integrating digital media analytics into rural development research, offers complexity and performance analysis of the employed algorithms, and stresses reproducibility through transparent documentation of data sources, model architectures, training configurations, and evaluation metrics. 2025 IEEE. Subject The topic of the resource Cooperative social entrepreneurship; HandiCrafts; Karnataka; Rural Artisans Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833151520-1; 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 Cop-edge critical generalized Petersen and Paley graphs Subject The topic of the resource Cops and Robbers; Paley graphs; Petersen graphs; vertex-pursuit games Description An account of the resource Cop Robber game is a two player game played on an undirected graph. In this game, the cops try to capture a robber moving on the vertices of the graph. The cop number of a graph is the least number of cops needed to guarantee that the robber will be caught. We study cop-edge critical graphs, i.e. graphs G such that for any edge e in E(G) either c(G?e) < c(G) or c(G?e) > c(G). In this article, we study the edge criticality of generalized Petersen graphs and Paley graphs. 2023 Azarbaijan Shahid Madani University. Creator An entity primarily responsible for making the resource Dominic C.; Witkowski L.; Witkowski M. Source A related resource from which the described resource is derived Communications in Combinatorics and Optimization, Vol-8, No. 2, pp. 359-378. Publisher An entity responsible for making the resource available Azarbaijan Shahid Madani University 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/10.22049/cco.2022.27308.1229" target="_blank" rel="noreferrer noopener">https://doi.org/10.22049/cco.2022.27308.1229</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148897010&doi=10.22049%2Fcco.2022.27308.1229&partnerID=40&md5=d15b050ad5b68f6119a4515f128e212a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148897010&doi=10.22049%2fcco.2022.27308.1229&partnerID=40&md5=d15b050ad5b68f6119a4515f128e212a</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 25382128 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 Dominic C., Department of Mathematics, CHRIST (Deemed to be university), Karnataka, Bengaluru, 560029, India; Witkowski L., Faculty of Mathematics and Computer Science, Adam Mickiewicz University, Pozna?, Poland; Witkowski M., Faculty of Mathematics and Computer Science, Adam Mickiewicz University, Pozna?, Poland 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 Dedhia, Aarya M.; Das, Moitrayee; Shah, Muskan Title A name given to the resource Coping with Burnout Across Cultures 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 Contributions to Management Science;Volume;Part F1820;pp.139-155 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-032-16348-6_6" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-032-16348-6_6</a> <a href="https://www.scopus.com/pages/publications/105038416713?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105038416713?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 Dedhia A.M., FLAME University, Pune, India; Das M., Department of Psychological Sciences, FLAME University, Pune, India; Shah M., Christ University, Bangalore, India Description An account of the resource The well-being of employees is impacted by numerous factors within their work realm. These factors consist of internal elements, such as the work environment, relationships with coworkers, and satisfaction with their jobs, as well as external factors like job security, working conditions, pay, and growth opportunities. Unfortunately, the COVID-19 pandemic has introduced significant changes that have greatly disrupted the factors that were crucial for employees to maintain a healthy and productive career. These changes include the global economic downturn, shifts in workplace culture, and a decline in worklife balance, all contributing to increased job insecurity among employees. The weight of unemployment and job insecurity often materialises as burnout and enduring fatigue among employees, consequently lessening their peak efficiency level. However, while exploring coping techniques for burnout, cultural practices are persistently overlooked. However, each culture possesses distinctive norms that shape an individuals way of handling workplace stress and pressure. This paper will predominantly look at secondary data published in online databases to explore previously existing literature on differences in culture while coping with burnout. Through the literature review, the authors compare the coping mechanisms employees adhere to between individualistic cultures and collectivist cultures. The paper highlights employees routines at a broader level, emphasising the need for organisations to be aware of diverse coping styles, especially on sites that act as a melting pot of cultures. It aims to promote safer work environments by articulating the differences in coping mechanisms of employees in different cultures. The paper explores sustainable practices for employees and workers to enhance their job satisfaction and well-being. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. Subject The topic of the resource Collectivistic cultures; Coping; Culture; Individualistic cultures; Job burnout; Job performance; Mental health; Stress Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 14311941; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coping with Public and Private Face-to-Face and Cyber Victimization among Adolescents in Six Countries: Roles of Severity and Country Subject The topic of the resource bullying; coping; country; culture; cyberbullying; severity; victimization Description An account of the resource This study investigated the role of medium (face-to-face, cyber) and publicity (public, private) in adolescents perceptions of severity and coping strategies (i.e., avoidant, ignoring, helplessness, social support seeking, retaliation) for victimization, while accounting for gender and cultural values. There were 3432 adolescents (ages 1115, 49% girls) in this study; they were from China, Cyprus, the Czech Republic, India, Japan, and the United States. Adolescents completed questionnaires on individualism and collectivism, and ratings of coping strategies and severity for public face-to-face victimization, private face-to-face victimization, public cyber victimization, and private cyber victimization. Findings revealed similarities in adolescents coping strategies based on perceptions of severity, publicity, and medium for some coping strategies (i.e., social support seeking, retaliation) but differential associations for other coping strategies (i.e., avoidance, helplessness, ignoring). The results of this study are important for prevention and intervention efforts because they underscore the importance of teaching effective coping strategies to adolescents, and to consider how perceptions of severity, publicity, and medium might influence the implementation of these coping strategies. 2022 by the authors. Creator An entity primarily responsible for making the resource Wright M.F.; Wachs S.; Yanagida T.; ev?ovA.; D?dkovL.; Bayraktar F.; Aoyama I.; Kamble S.V.; MachkovH.; Li Z.; Soudi S.; Lei L.; Shu C. Source A related resource from which the described resource is derived International Journal of Environmental Research and Public Health, Vol-19, No. 21 Publisher An entity responsible for making the resource available MDPI Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.3390/ijerph192114405" target="_blank" rel="noreferrer noopener">https://doi.org/10.3390/ijerph192114405</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141633896&doi=10.3390%2Fijerph192114405&partnerID=40&md5=69f68d6aa08e13236c4816149b22b150" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141633896&doi=10.3390%2fijerph192114405&partnerID=40&md5=69f68d6aa08e13236c4816149b22b150</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 16617827; PubMed ID: 36361294 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 Wright M.F., DePaul University, Chicago, 60614, IL, United States, Dublin City University, Dublin, D09, Ireland; Wachs S., Dublin City University, Dublin, D09, Ireland, University of Potsdam, Potsdam, 14469, Germany; Yanagida T., University of Vienna, Wien, 1010, Austria; ev?ovA., Masaryk University, Brno, 60177, Czech Republic; D?dkovL., Masaryk University, Brno, 60177, Czech Republic; Bayraktar F., Eastern Mediterranean University, Famagusta, 99628, Turkey; Aoyama I., Tsuru University, Yamanashi, Tsuru, 402-8555, Japan; Kamble S.V., Karnatak University, Karnataka, Dharwad, 580003, India; MachkovH., Masaryk University, Brno, 60177, Czech Republic; Li Z., Beijing University of Technology, Beijing, 100021, China; Soudi S., Christ University, Karnataka, Bangalore, 560029, India; Lei L., Renmin University of China, Beijing, 100872, China; Shu C., Renmin University of China, Beijing, 100872, China 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 D Souza, Eden Sinchana; Nizam, Aatika Title A name given to the resource Copper immobilized on a layered magnetite-based nanocatalyst for sustainable Ullmann cross-coupling reaction 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 Materials Advances;Volume;7;Issue;9;pp.4744-4753 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1039/d6ma00112b" target="_blank" rel="noreferrer noopener">https://doi.org/10.1039/d6ma00112b</a> <a href="https://www.scopus.com/pages/publications/105036241855?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105036241855?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 D Souza E.S., Department of Chemistry, Christ University, Bengaluru, 560029, India; Nizam A., Department of Chemistry, Christ University, Bengaluru, 560029, India Description An account of the resource This study demonstrates the efficient synthesis of diarylthioethers via CS cross-coupling between diverse aryl halides and arylthiols utilizing a magnetically retractable Fe3O4@SiO2PrNH2SACu(ii) nanocatalyst using K2CO3 as a base in DMF. The heterogeneous nanocatalyst was fabricated through a multistep process. The designed catalyst was characterized using various techniques, such as XRD, HRTEM, FESEM, STEM, EDAX, elemental mapping, TGA, VSM, XPS, ICP-OES and FT-IR. The catalyst design provides a dual role of the Schiff base-anchoring copper ions, to accelerate the oxidative addition and reductive elimination steps. This method makes use of ligand-free synthesis of diarylsulfides, enabling magnetic recovery and reuse of the catalyst for up to 6 cycles. The nanocatalyst exhibited high catalytic activity and a broad substrate scope. The magnetic nature of the nanocatalyst enabled easy separation from the reaction mixture using an external magnet, thus simplifying the workup. The synthesized nanocatalyst was then utilized for the synthesis of diarylthioethers and heterodiarylthioethers. The pure compounds were characterized using 1H and 13C NMR. This catalytic system offers a cost-effective, efficient, and simple protocol for the formation of the CS bond. This journal is The Royal Society of Chemistry, 2026. Publisher An entity responsible for making the resource available Royal Society of Chemistry Relation A related resource ISSN: 26335409; 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