331 20 16488 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 Adaptive artificial bee colony (aabc)-based malignancy pre-diagnosis Subject The topic of the resource Adaptive artificial bee colony; Feed-forward back-propagation neural network; Risk factor and symptoms and modification rate Description An account of the resource Lung cancer is one of the leading causes of death. The survival rate of the patients diagnosed with lung cancer depends on the stage of the detection and the timely prognosis. Hence, early detection of anomalous malignant cells is needed for pre-diagnosis of lung cancer as it plays a major role in the prognosis and treatment. In this work, an innovative pre-diagnosis approach is suggested, wherein the size of the dataset comprising risk factors and symptoms is considerably decreased and optimized by means of an Adaptive Artificial Bee Colony (AABC) algorithm. Subsequently, the optimized dataset is fed to the Feed-Forward Back-Propagation Neural Network (FFBNN) to perform the training task. For the testing, supplementary data is furnished to well-guided FFBNN-AABC to authenticate whether the supplied investigational data is competent to effectively forecast the lung disorder or not. The results obtained show a considerable improvement in the classification performance compared to other approaches like Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2021. Creator An entity primarily responsible for making the resource Kokatnoor S.A.; Krishnan B. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-132, pp. 149-157. 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 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-15-5309-7_15" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-15-5309-7_15</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090372979&doi=10.1007%2F978-981-15-5309-7_15&partnerID=40&md5=d507f04568db1956a97bf2305991bfea" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090372979&doi=10.1007%2f978-981-15-5309-7_15&partnerID=40&md5=d507f04568db1956a97bf2305991bfea</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370 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 Kokatnoor S.A., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to Be University), Bangalore, 560074, India; Krishnan B., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to Be University), Bangalore, 560074, 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 Twitter Hate Speech Detection using Stacked Weighted Ensemble (SWE) Model Subject The topic of the resource Anomaly Detection; Ensemble Classification; Hard Voting and Soft Voting; Hate Speech; Linear Regression Model; Nae Bayes; Random Forest; Social Networking Services; Tweet Classification; Tweet Filtering Description An account of the resource Online Social Media has expanded the freedom of expression in the internet, which has become a disturbing problem if it has an impact on the situation or the interest of a country. Hate speech refers to the use of hostile, abusive or offensive language, directed at a certain group of people who share common property, whether it is their gender, ethnicity or race (i.e. racism), faith and religion. Therefore, auto detection of hate speeches has an increased importance in Online Social Media for filtering any message that has hatred language before posting it to the network. In this paper, a Stacked Weighted Ensemble (SWE) model is proposed for the detection of hate speeches. The model ensembles five standalone classifiers: Linear Regression, Nae Bayes', Random Forest, Hard Voting and Soft Voting. The experimental results on a Twitter dataset has shown an accuracy of 95.54% in binary classification of tweets into hateful speech and an improved performance is noted compared to the standalone classifiers. 2020 IEEE. Creator An entity primarily responsible for making the resource Kokatnoor S.A.; Krishnan B. Source A related resource from which the described resource is derived Proceedings - 2020 5th International Conference on Research in Computational Intelligence and Communication Networks, ICRCICN 2020, pp. 87-92. 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 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICRCICN50933.2020.9296199" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICRCICN50933.2020.9296199</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099174302&doi=10.1109%2FICRCICN50933.2020.9296199&partnerID=40&md5=b15f7285ec5202571b2d033e37fd1ef1" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099174302&doi=10.1109%2fICRCICN50933.2020.9296199&partnerID=40&md5=b15f7285ec5202571b2d033e37fd1ef1</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-172818818-8 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource 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 Kokatnoor S.A., CHRIST (Deemed to Be University), Department of Computer Science and Engineering, Bangalore, India; Krishnan B., CHRIST (Deemed to Be University), Department of Computer Science and Engineering, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Deducing Water Quality Index (WQI) by Comparative Supervised Machine Learning Regression Techniques for India Region Subject The topic of the resource Biological oxygen demand; Dissolved oxygen; Machine learning; Regression; Supervised; Water Quality Index Description An account of the resource Water quality is of paramount importance for the wellbeing of the society at large. It plays avery important role in maintaining the health of the living being. Several attributes like biological oxygen demand (BOD), power of hydrogen (pH), dissolved oxygen (DO) content, nitrate content (NC) and so on help to identify the appropriateness of the water to be used for different purposes. In this research study, the focus is to deduce the Water Quality Index (WQI) by means of artificial intelligence (AI)-based machine learning (ML) models. Six parameters, namely BOD, DO, pH, NC, total coliform (CO) and electrical conductivity (EC) are used to measure, analyze and predict WQI using nine supervised regression machine learning techniques. Bayesian Ridge regression (BRR) and automatic relevance determination regression (ARD regression) yielded a low mean squared error (MSE) value when compared to other regression techniques. ARD regression model parameters as independent a priori so that non-zero coefficients do not exploit vectors that are not just sparse, but they are dependent. In the estimation process, BRR contains regularization parameters; regularization parameters are not set hard but are adjusted to the relevant data. Due to these reasons, ARD regression and BRR models performed better. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Kokatnoor S.A.; Reddy V.; Balachandran K. Source A related resource from which the described resource is derived Lecture Notes on Data Engineering and Communications Technologies, Vol-114, pp. 727-742. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-16-9416-5_54" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-9416-5_54</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133700510&doi=10.1007%2F978-981-16-9416-5_54&partnerID=40&md5=9a51942feb217485997895b60710f011" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133700510&doi=10.1007%2f978-981-16-9416-5_54&partnerID=40&md5=9a51942feb217485997895b60710f011</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23674512 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 Kokatnoor S.A., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Reddy V., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Balachandran K., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, 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 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 Kokatnoor, Sujatha Arun Title A name given to the resource Disease Identification from Illegible Medical Prescriptions Using OCR and NLP Techniques 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 Electrical Engineering;Volume;1461 LNEE;pp.545-557 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-96-9724-3_40" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-96-9724-3_40</a> <a href="https://www.scopus.com/pages/publications/105030158896?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105030158896?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 Kokatnoor S.A., Department of Computer Science and Engineering, School of Engineering and Technology, Christ University, Karnataka, Bangalore, India Description An account of the resource Medical prescriptions that are challenging to interpret present significant issues for the healthcare industry because they increase the possibility of errors in patient care and medication administration. This study presents an efficient workflow that uses Optical Character Recognition (OCR) technology, specifically, Tesseract OCR, along with a preprocessing step to extract text from handwritten prescriptions. The preprocessing stage uses grayscale conversion, noise reduction, and contrast enhancement to increase the accuracy of OCR. Significant results from experiments on a publicly accessible dataset show that preprocessing greatly improves performance, lowering the error rate from 34.7 to 18.3% and raising average accuracy from 65.3 to 81.7%. The enhanced accuracy outweighs the modest increase in processing time (from 0.8 to 1.2s), emphasizing the potential of using these techniques in practical healthcare applications. The studys findings also demonstrated the successful analysis of the text using Natural Language Processing (NLP) and Clinical Bidirectional Encoder Representations from Transformers (ClinicalBERT) techniques by identifying four distinct diseases, Common Cold, Diabetes Mellitus, Bronchitis, and disease caused by Anemia, as validated by a medical professional. This demonstrates the systems potential to improve health care processes by automatically digitizing handwritten prescriptions. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026. Subject The topic of the resource Contrast enhancement; Contrast-limited adaptive histogram equalization (CLAHE); Disease identification; Healthcare automation; Image preprocessing; Medical prescriptions; Natural language processing (NLP); Noise reduction; Optical character recognition (OCR); Tesseract Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 18761100; ISBN: 978-981969723-6; 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 Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Kokatnoor, Sujatha Arun; Shukla, Samiksha Title A name given to the resource NLP and Topic Modeling in Healthcare: Identifying Diseases from Patient Histories 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 Smart Innovation, Systems and Technologies;Volume;454 SIST;pp.501-516 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-032-07837-7_38" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-032-07837-7_38</a> <a href="https://www.scopus.com/pages/publications/105036673854?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105036673854?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 Kokatnoor S.A., Department of Computer Science and Engineering, School of Engineering and Technology, Christ University, Karnataka, Bengaluru, India; Shukla S., Department of Computer Science and Engineering, School of Engineering and Technology, Christ University, Karnataka, Bengaluru, India Description An account of the resource Topic modeling and Natural Language Processing (NLP) have demonstrated significant prospects in the healthcare industry for extracting insightful information from unstructured patient histories that can help diagnose diseases and enhance clinical decisions. In this study, patient histories are grouped into ten different clusters using advanced K-Means clustering, with the Dunn Index being used to validate the clustering performance. After the clusters are formed, each cluster is subjected to topic modeling approaches. Four topic modeling approaches are examined in this study, Latent Dirichlet Allocation (LDA), Hierarchical Dirichlet Process (HDP), Latent Semantic Indexing (LSI), and Non-negative Matrix Factorization (NMF). These techniques are used to find disease-related terms from patient histories. Coherence scores, which show the semantic significance of the terms produced, and execution times, which show the computational efficiency needed for real-time healthcare applications, are used to evaluate the models. According to experimental findings forthe USMLE Step 2 Clinical Skills exam dataset, NMF and HDP generated the most cohesive terms, with NMFs faster execution time (1.67s) making it appropriate for widespread healthcare applications. Whereas, a reasonable balance between coherence and computational demands is offered by LDA and LSI. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. Subject The topic of the resource Dunn index; K-means clustering; Latent dirichlet allocation (LDA); Latent semantic indexing (LSI); Natural Language Processing (NLP); Non-negative matrix factorization (NMF); Personalized healthcare; Topic modeling Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 21903018; ISBN: 978-303207836-0; 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 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 Kola, Sangeetha Supriya; Lovesum, Jeno S.P. Title A name given to the resource A NOVEL DATA SECURE MODEL FOR INTERNET OF HEALTH THINGS WITH A NEW LIGHTWEIGHT CRYPTOGRAPHY ALGORITHM AND STEGANOGRAPHY TECHNIQUE Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Journal of Theoretical and Applied Information Technology;Volume;104;Issue;1;pp.378-390 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.5281/zenodo.18260371" target="_blank" rel="noreferrer noopener">https://doi.org/10.5281/zenodo.18260371</a> <a href="https://www.scopus.com/pages/publications/105033630615?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105033630615?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 Kola S.S., Department of CSE, Christ University, India; Lovesum J.S.P., Department of CSE, Christ University, India Description An account of the resource Ensuring the security of data in Internet of Things (IoT) based healthcare systems (HS) presents considerable challenges due to the limitations of traditional embedding methods and cryptography techniques, leading to more memory consumption, more execution time, less security, inadequate payload capacity, and performance inefficiencies. To address these issues, the Bernoulli Fish-based Stego Algorithm (BFBSA) is introduced as an innovative solution. Specifically designed for IoT healthcare data, this algorithm is validated through the encryption and embedding of healthcare data. The process involves initializing IoT healthcare data, encrypting it using the BFBSA algorithm, and embedding the encrypted data within steganographic images. Performance analysis is conducted using key metrics such as payload capacity, encryption time, memory usage, PSNR, and MSE. Comparative analysis with existing approaches highlights the BFBSA models efficiency and its effectiveness in ensuring secure and optimized data management in IoT healthcare environments. Little Lion Scientific Subject The topic of the resource Crypto Algorithm; Data Security; Embedding Image; Encryption; IoT Healthcare Publisher An entity responsible for making the resource available Little Lion Scientific Relation A related resource ISSN: 19928645; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online https://archives.christuniversity.in/files/original/16b89e8a012176d5ba9cc6a2dab70039.jpg 50602cd07b75ffd6ed0408990f648803 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 A facile, green synthesis of carbon quantum dots from Polyalthia longifolia and its application for the selective detection of cadmium / Subject The topic of the resource Chemistry Description An account of the resource Dyes and Pigments, Vol.210, ISSN No: 0143-7208. Carbon quantum dots (CQDs) has received world-wide recognition for their outstanding physicochemical properties that have the ability to substitute the semiconductor quantum dots. Herein, we have developed a strategy to determine the presence of Cd2+ using CQDs as a fluorescence probe. The CQDs were synthesized from the leaves of Polyalthia longifolia (a natural source) through a one-step hydrothermal method. The CQDs obtained from Polyalthia longifolia (p-CQDs) was characterized using XRD, TEM, FTIR, Raman Spectroscopy, XPS Studies, UV–Visible spectroscopy and PL Spectroscopy. The p-CQDs displayed bright red fluorescence under the UV light, with good water solubility, and appreciable photostability and a quantum yield of 22%. The p-CQDs had a quasi-spherical morphology with an average particle size of 3.33 nm. Creator An entity primarily responsible for making the resource Kolaprath, Mrinalini Kalyani Ayilliath., Benny, Libina., Varghese Anitha. Source A related resource from which the described resource is derived <a href="https://www.sciencedirect.com/science/article/abs/pii/S0143720822009706" target="_blank" title="A facile, green synthesis of carbon quantum dots from Polyalthia longifolia and its application for the selective detection of cadmium" rel="noreferrer noopener">https://www.sciencedirect.com/science/article/abs/pii/S0143720822009706</a> Publisher An entity responsible for making the resource available ScienceDirect Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-10 Language A language of the resource English Type The nature or genre of the resource Research Publication 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 Kollannoor, Stenny Anto; Thomas, Shinto Title A name given to the resource Exploring the influence of family relationship on students school well-being 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 Children and Youth Services Review;Volume;178;Issue;;Article No.;108540; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.childyouth.2025.108540" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.childyouth.2025.108540</a> <a href="https://www.scopus.com/pages/publications/105013772506?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105013772506?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 Kollannoor S.A., Department of Psychology, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bengaluru, 560029, India; Thomas S., Department of Psychology, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bengaluru, 560029, India Description An account of the resource The purpose of the study was to examine the potential significance of familial relationships in influencing adolescent students experiences of happiness within the school context, contributing to the broader discourse on fostering a supportive environment for youth development. The method in this research used a quantitative approach with a correlational design through a survey method. A sample of 715 higher secondary students, comprising 66 % girls and 34 % boys from Kerala, India, completed the family relationship questionnaire and students subjective well-being measure. The analysis used was Spearman's Correlation and Multiple Regression. Based on the analysis results, it was found that the three dimensions of family relationship are positively correlated with a sig value of < .01. Thus, Ha1 was accepted. Multiple regression results revealed that family coherence (p < .001) emerged as the most significant predictor of student subjective well-being among three dimensions of family relationship measures. Family expressiveness (p < .01) is the second most influential element on students school well-being. Meanwhile, the result shows that there is no conclusive evidence that family conflict has predictive significance. Thus, Ha 2 was accepted except family conflict dimension. It may be inferred that all aspects of family relationship are positively related to student well-being. However, only family coherence and expressiveness have a substantial impact on the well-being of Indian higher secondary students, but family conflict does not. 2025 Elsevier Ltd Subject The topic of the resource Family cohesion; Family conflict; Family expressiveness; Family relationship; Student subjective well-being Publisher An entity responsible for making the resource available Elsevier Ltd Relation A related resource ISSN: 1907409; CODEN: CYSRD Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Kollarath, Reshmi Manikoth; Anand, Anay Title A name given to the resource Traditional Wisdom in Water Harvesting: A Comparative Review of Ahar Pynes and Tank Systems in India Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Advances in 21st Century Human Settlements;Volume;Part F1088;pp.229-247 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-96-9760-1_11" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-96-9760-1_11</a> <a href="https://www.scopus.com/pages/publications/105020920369?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105020920369?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 Kollarath R.M., School of Architecture, CHRIST Deemed to be University, Bengaluru, India; Anand A., School of Architecture, CHRIST Deemed to be University, Bengaluru, India Description An account of the resource The Indian subcontinent has historically relied on rainwater harvesting for agricultural and domestic water purposes. Traditional water management practices were crucial in the development of settlements and growth of villages and towns in Ancient India. Numerous indigenous water management practices have evolved across the diverse geography of this region to capture rain and manage surface water runoff. These systems have sustained the agrarian economy over centuries by contributing to irrigation and water security. This research paper focuses on two diverse water management systems in two geographically distinct areas in India. The Ahar Pyne system is practiced in the flood prone alluvial plains of Bihar, while the Tank system of irrigation is prevalent in the arid Deccan region. Both these systems were managed by the local communities living in their vicinity. These systems promote flood mitigation and drought resilience. These systems have become increasingly neglected in the recent years with development and advent of piped water supply. As the world grapples with problems escalated by climate change and the ensuing issue of water scarcity, there is an increasing interest in traditional systems and how they can be adapted to current needs. The comparative study of these two systems accentuates the adaptability of indigenous water management practices in different climatic and topographic conditions. The study also underlines the significance of integrating these traditional systems into the current water management processes. The paper also highlights the relevance of these systems in the current scenario and the need for revival and sustainable management of these systems towards building a resilient future. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. Subject The topic of the resource Community resilience; Drought resilience; Flood management; Sustainable water management; Traditional knowledge systems Publisher An entity responsible for making the resource available Springer Relation A related resource ISSN: 21982546; 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 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 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 Idealised Bilinear Moment-Curvature Curves of Reinforced Masonry (RM) Walls Description An account of the resource In this paper, an analytical investigation of the axial loadflexural strength interaction of reinforced masonry walls is carried. The curvature ductility of masonry walls is evaluated for walls with different modes of reinforcement configurations under different levels of axial loads. An analytical expression for evaluating the curvature ductility of masonry walls at varying axial loads is proposed in this paper. Value of curvature ductility obtained from the proposed expression is compared with existing methods. Results indicate the proposed model can be used to determine the ductility of reinforced masonry walls. 2020, Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Kollerathu J.A. Source A related resource from which the described resource is derived Lecture Notes in Civil Engineering, Vol-74, pp. 99-110. 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/10.1007/978-981-15-4079-0_9" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-15-4079-0_9</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085165713&doi=10.1007%2F978-981-15-4079-0_9&partnerID=40&md5=bdcfddb594c1898877f609bf11631c2d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085165713&doi=10.1007%2f978-981-15-4079-0_9&partnerID=40&md5=bdcfddb594c1898877f609bf11631c2d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23662557 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 Kollerathu J.A., Department of Civil Engineering, Faculty of Engineering, Christ (Deemed to Be University), 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 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 Curvature Ductility of Reinforced Masonry Walls and Reinforced Concrete Walls Subject The topic of the resource Curvature ductility; Reinforced concrete walls; Reinforced masonry walls Description An account of the resource Research conducted in this work proposes an equation to evaluate and compares the curvature ductility of reinforced masonry (RM) and reinforced concrete (RC) walls. The curvature ductilities are measured at varying levels of axial stresses for walls for aspect ratio (l/h) of 0.5, 1.0 and 1.5. The percentage of reinforcement is increased from 0.25% (minimum reinforcement for RC walls as per IS-13920) to 1.00%. The curvature ductilities are evaluated by plotting flexural strength (M) versus curvature (?) for the walls. The stressstrain curves of masonry, concrete and reinforcing steel are all adopted from existing literature. The compressive strength of masonry and concrete has been chosen as 10MPa and 25MPa, respectively. The yield strength of the steel is fixed as 415MPa. The height and thickness of the wall are 3000 and 230mm, respectively, and the length of the wall is varied to obtain different aspect ratios. Results obtained from this paper imply due to increase curvature ductility, RM walls provide a better alternative for the construction of structural walls compared to RC walls in regions of significant seismicity. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Kollerathu J.A. Source A related resource from which the described resource is derived Lecture Notes in Civil Engineering, Vol-162, pp. 9-23. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-16-2826-9_2" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-2826-9_2</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115232182&doi=10.1007%2F978-981-16-2826-9_2&partnerID=40&md5=d373d676c92dd5633914d1d417e18e7a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115232182&doi=10.1007%2f978-981-16-2826-9_2&partnerID=40&md5=d373d676c92dd5633914d1d417e18e7a</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23662557; ISBN: 978-981162825-2 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kollerathu J.A., Civil Engineering Department, CHRIST (Deemed to be University), Bengaluru, Karnataka, 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 Lateral Load Behavior of Unreinforced Masonry Spandrels Subject The topic of the resource Lateral load behavior; Spandrel; Storey-shear mechanism Description An account of the resource Spandrels, are usually classified as secondary elements and even though their behaviour has not received adequate focus unlike piers, they significantly affect the seismic capacity of the structure. Masonry spandrels are often damaged and the first structural components that crack within Unreinforced Masonry structures. Despite this, existing analytical methods typically consider a limit case in which the strength of spandrels is either neglected, considered to be infinitely rigid and strong or treated as rotated piers. It is clearly evident that such an assumption is not plausible. Hence, reliable predictive strength models are required. This thesis attempts to re-examine the flexural behaviour of spandrels and proposes an analytical model. The model is based on the interlocking phenomena of the joints at the end-sections of the spandrel and the contiguous masonry. The proposed analytical model is incorporated within a simplified approach to account for the influence of spandrel response on global capacity estimate of URM buildings. 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG. Creator An entity primarily responsible for making the resource Kollerathu J.A.; Menon A. Source A related resource from which the described resource is derived Lecture Notes in Civil Engineering, Vol-171, pp. 589-597. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-030-80312-4_49" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-030-80312-4_49</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115249461&doi=10.1007%2F978-3-030-80312-4_49&partnerID=40&md5=e1a0019d9266031423b7bf4a4e925dcd" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115249461&doi=10.1007%2f978-3-030-80312-4_49&partnerID=40&md5=e1a0019d9266031423b7bf4a4e925dcd</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23662557; ISBN: 978-303080311-7 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 Kollerathu J.A., CHRIST (Deemed To Be University), Bengaluru, Karnataka, 560060, India; Menon A., Indian Institute of Technology Madras, Chennai, Tamil Nadu, 600036, 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 Investigation of corrosion behavior of Cenosphere reinforced iron based composite coatings Subject The topic of the resource Cenosphere; Corrosion; FeCrNiC; Plasma spray caotings; T22 Description An account of the resource In the present study cenopshere was reinforced with FeCrNiC (Metco 42C) as matrix material and prepared four different feedstock powders such as FeCrNiC+0%Cenosphere, FeCrNiC+5%Cenosphere, FeCrNiC+10%Cenosphere and FeCrNiC+15%Cenosphere were coated by plasma spray technique on T22 substrate. Evaluation of the substrate and coatings potential under salt spray test was performed. Dense fog of 5% NaCl salt water was used to create a corrosive atmosphere within the chamber. The salt water's pH was kept constant at 6.57. The materials that underwent corrosion were examined using X-ray diffraction (XRD), and scanning electron microscopy (SEM). The FeCrNiC+15%Cenosphere and FeCrNiC+10%Cenosphere coatings exhibited reduced weight loss during a 168-h corrosion test compared to the FeCrNiC+5%Cenosphere, FeCrNiC coatings, and substrate. The excellent chemical stability and corrosion resistance of Cr23C6, SiO2, NiO, and Cr2O particles contribute to gradually avoid the formation of red rust on Fe-based coated samples with exposure approaches to 52 and 130 h. 2024 The Authors Creator An entity primarily responsible for making the resource Kollur S.; S S.; Surendra J.; Kumar G.S.P.; Suresh Kumar R.; Prasad C.D.; Kumar B K P.; Kore S.; M N. Source A related resource from which the described resource is derived Results in Surfaces and Interfaces, Vol-17 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.rsurfi.2024.100300" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.rsurfi.2024.100300</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203641440&doi=10.1016%2Fj.rsurfi.2024.100300&partnerID=40&md5=7df994c856998033330caf9cc18be6c5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203641440&doi=10.1016%2fj.rsurfi.2024.100300&partnerID=40&md5=7df994c856998033330caf9cc18be6c5</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 26668459 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 Kollur S., Department of Mechanical Engineering, RV Institute of Technology and Management, Karnataka, Bengaluru, 560076, India; S S., Department of Mechanical Engineering. New Horizon College of Engineering, Bengaluru, 560103, India; Surendra J., Department of Mechanical Engineering, Prasad V Potluri Siddhartha Institute of Technology, Kanuru, Vijayawada, India; Kumar G.S.P., Department of Mechanical and Automobile Engineering. CHRIST University, Bengaluru, 560074, India; Suresh Kumar R., Department of Mechanical Engineering, BMS College of Engineering, Karnataka, Bengaluru, India; Prasad C.D., Department of Mechanical Engineering, RV Institute of Technology and Management, Karnataka, Bengaluru, 560076, India; Kumar B K P., Department of Mechanical Engineering, Ballari Institute of Technology and Management, Ballari, Karnataka, India; Kore S., Department of Mechanical Engineering, Vishwakarma Institute of Technology, Maharashtra, Pune, 411037, India; M N., Department of Mechatronics Engineering, AMC Engineering College, 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 Kolluru, Vinothkumar; Helen Parimala, E.; Kokilavani, T.; Sunil Raj, Y.; Jesuraj, Bastin; Aminuddin, Afrig Title A name given to the resource QiMINT: Quantum-Inspired Mobile Intelligence - Advancing Complex Signal Processing with 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 Proceedings of 8th International Conference on Trends in Electronics and Informatics, ICOEI 2025;pp.1715-1724 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICOEI65986.2025.11013711" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICOEI65986.2025.11013711</a> <a href="https://www.scopus.com/pages/publications/105007660858?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105007660858?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 Kolluru V., Stevens Institute of Technology, Department of Data Science, NJ, United States; Helen Parimala E., Gitam Deemed to be University, Department of Computer Science, Bangalore, India; Kokilavani T., School of Sciences, Christ (Deemed) University, Department of Computer Science, Bangalore, India; Sunil Raj Y., St. Xavier's College (Autonomous), Department of Data Science, Palayamkottai, India; Jesuraj B., Mother Theresa Arts and Science College, Department of Computer Science, Tamilnadu, Theni, India; Aminuddin A., Universitas Amikom Yogyakarta, Department of Information System, Faculty of Computer Science, Sleman, 55283, Indonesia Description An account of the resource Integrating mobile intelligence with quantum-inspired machine learning (QiML) opens space for challenging mobile signal processing tasks. By utilizing superposition and entanglement, quantum computing principles, QiML boosts the agility of mobile devices by allowing real-time data processing, pattern recognition, and decision making. This work introduces Quantum-Inspired Mobile Intelligence (QiMINT) a new mobile computing framework that integrates quantum-inspired designs with classical machine learning, which increases mobile devices' accuracy, latency, and energy efficiency. Results show that medical QiML based models exceeded traditional machine learning methods in most key performance indicators. The quantum convolutional neural network (QCNN) achieved an accuracy of 92.3% in contrast with the CNNs' 87.5%, but with a processing time of 80 ms as to 120 ms, energy consumption of 10 mJ in comparison to the CNNs' 15mJ. Also, quantum-inspired random forests lowered processing delay by 40%, sustaining superior accuracy than the classical-base system. These results demonstrate that QiML can effectively balance computation complexity while making it suitable for edge computing, IoT, and mobile intelligence systems. 2025 IEEE. Subject The topic of the resource AI Optimization; Edge Computing; Machine Learning; Mobile Intelligence; Quantum Algorithms; Quantum Computing; Real-Time Data; Signal Processing Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833154460-7; 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 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 Sibling Bereavement Among Young Indian Adults Subject The topic of the resource bereavement; continuing bonds; familial roles; grief; India; qualitative study; sibling loss; societal impact; support systems Description An account of the resource This qualitative study explores the bereavement experiences of 12 surviving siblings in India, focusing on familial, societal, and cultural influences. Six themes emerged: The Demanding Familial Role, Isolation That Accompanies the Grief, Damaging Impact of Society, Positive Role of Friends and Family, Support Systems, and Continuing Bonds. Participants often felt the burden of supporting their parents, leading to personal grief suppression and isolation, exacerbated by societal stigmas. Conversely, empathetic friends, supportive extended family, and professional resources like therapy provided crucial coping mechanisms. Continuing bonds with the deceased offered comfort and connection. The study highlights the need for comprehensive support systems tailored to cultural and societal contexts. It emphasizes the importance of public awareness and education to foster a supportive response to bereavement. Further research with larger, more diverse samples is recommended. The Author(s) 2024. Creator An entity primarily responsible for making the resource Kolte A.; Mohan M.P. Source A related resource from which the described resource is derived Omega (United States) Publisher An entity responsible for making the resource available SAGE Publications 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/10.1177/00302228241284926" target="_blank" rel="noreferrer noopener">https://doi.org/10.1177/00302228241284926</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204235304&doi=10.1177%2F00302228241284926&partnerID=40&md5=e3e3e586562affe56b9c1125b128d19b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204235304&doi=10.1177%2f00302228241284926&partnerID=40&md5=e3e3e586562affe56b9c1125b128d19b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 302228 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 Kolte A., Department of Psychology, Christ (Deemed to be) University, Bengaluru, India; Mohan M.P., Department of Psychology, Christ (Deemed to be) University, 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 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 Komarasamy, Dinesh; Rajavel, Rajkumar; Harimoorthy, Karthikeyan; Pitchai, Aravind Title A name given to the resource A scalable scheduling and resource management framework for cloud-native B2B applications 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 Scientific Reports;Volume;15;Issue;1;Article No.;44500; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1038/s41598-025-28149-5" target="_blank" rel="noreferrer noopener">https://doi.org/10.1038/s41598-025-28149-5</a> <a href="https://www.scopus.com/pages/publications/105025748225?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105025748225?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 Komarasamy D., Department of Computer Science and Engineering, Kongu Engineering College, Perundurai, India; Rajavel R., Department of AI, ML & Data Science, Christ University, Bangalore, India; Harimoorthy K., Department of Computer Science and Engineering, Christ University, Bangalore, India; Pitchai A., Department of Electrical and Computer Engineering, Mattu University, Mattu, Ethiopia Description An account of the resource In modern cloud computing environments, customers increasingly depend on on-demand resource provisioning to handle dynamic workloads. However, fluctuations in job arrival rates can result in prolonged queue times, which negatively affect overall system performance. Although existing scheduling algorithms provide efficient job management, they often fail to account for the combined impact of queue delays and the need for flexible resource provisioningparticularly in business-critical applications. In order to tackle these issues, the paper proposes a new Optimized Job Scheduling and Resource Scaling (OJSRS) algorithm designed to improve job execution efficiency and support elastic resource management in cloud environments. The OJSRS algorithm integrates two key components: Tree-based Job Scheduling (TJS) and Automated Resource Scaling and Scheduling (ARSS). The TJS component constructs a hierarchical structure that concurrently maps incoming jobs to the most suitable Virtual Machines (VMs), thereby minimizing queue delays. Meanwhile, ARSS adjusts resource allocation dynamically, increasing or decreasing capacity according to workload requirements and cloud service provider policies, enabling responsive and adaptive provisioning. Experimental results show that the OJSRS algorithm increases resource utilization by approximately 510% and accelerates job completion through proactive resource scaling. This approach provides a significant performance advantage for cloud-native business applications that require both efficiency and scalability. The Author(s) 2025. Subject The topic of the resource Automated resource scaling; Business-to-Business applications; Cloud computing; Cloud native platform; Decent work and economic growth; Job scheduling; Load balancing Publisher An entity responsible for making the resource available Nature Research Relation A related resource ISSN: 20452322; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 Komatiguntala, Dhanalakshmi; Kota, Padmapriya; Krishnan, Deepika; Kongari, Andalu; Dadhabai, Sundari; Bommisetti, Ravi Kumar Title A name given to the resource Data privacy in blockchain management scheme with Nudge Theory for banking sector 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 Edelweiss Applied Science and Technology;Volume;9;Issue;5;pp.1204-1220 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.55214/25768484.v9i5.7124" target="_blank" rel="noreferrer noopener">https://doi.org/10.55214/25768484.v9i5.7124</a> <a href="https://www.scopus.com/pages/publications/105006685004?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105006685004?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 Komatiguntala D., School of Business and Management, Christ University Yeswanthpur Campus, Bangalore, India; Kota P., Radhekrishna Women's College, Hyderabad, India; Krishnan D., Symbiosis School of Banking and Finance, Symbiosis International University, Pune, 412115, India; Kongari A., Department of Commerce, TGSWRDC Vikarabad, India; Dadhabai S., KL Business School, Koneru Lakshmaiah Educational Foundation, Vaddeswaram, Andhra Pradesh, 522302, India; Bommisetti R.K., Andhra Pradesh, India Description An account of the resource Blockchain is an emerging digital transformation technique for processing and storing information. The study explores how blockchain technology can transform the banking sector by improving efficiency, transparency, and security. The main goal is to understand how blockchain can modernize traditional banking operations and address key challenges such as fraud, high transaction costs, and slow processing times. The study uses a qualitative approach, drawing insights from existing research, real-world examples, and current trends in financial technology. Findings show that blockchain offers clear advantages, including faster and more secure transactions, reduced operational costs, and improved record-keeping. It holds strong potential in areas like payments, trade finance, and compliance. However, the paper also highlights significant obstacles such as unclear regulations, difficulties in integrating with existing systems, and technical limitations related to scalability and interoperability. Blockchain is seen as a promising solution for many of the inefficiencies in current banking practices. Still, successful implementation will require careful planning, regulatory support, and collaboration across the financial ecosystem. The study offers practical insights for banks, technology developers, and regulators, recommending a gradual and strategic approach to blockchain adoption to ensure long-term value and sustainability. 2025 by the authors; licensee Learning Gate. Subject The topic of the resource Banking; Blockchain; Homomorphic; Nudge theory; Privacy Publisher An entity responsible for making the resource available Learning Gate Relation A related resource ISSN: 25768484; 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 The complexities of home and belonging in the Gulf-Malayalee experience: a close reading of Salim Ahameds Pathemari (2015) Subject The topic of the resource belonging; Gulf Malayalee; Home; Indian diaspora; return migration; reverse migration Description An account of the resource This paper explores the interaction between home, belonging, and migration by closely reading Salim Ahameds 2015 Malayalam film, Pathemari. The paper briefly traces migration history from Kerala to the Gulf and its impact on Keralas housing boom, influencing its socioeconomic and cultural landscape. Through this, the paper examines how Gulf Malayalees navigate the multifaceted and contested concept of home despite being physically and emotionally displacedthe paradox of belonging and unbelonging, in their attempts to secure a material home while working as blue-collared Malayalee migrants in the Gulf. 2024 Informa UK Limited, trading as Taylor & Francis Group. Creator An entity primarily responsible for making the resource Komban A.P.; Nayar CV A. Source A related resource from which the described resource is derived Continuum Publisher An entity responsible for making the resource available Routledge 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/10.1080/10304312.2024.2445311" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/10304312.2024.2445311</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212950787&doi=10.1080%2F10304312.2024.2445311&partnerID=40&md5=3874a77f5365a1d6bf583af360eaa42c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212950787&doi=10.1080%2f10304312.2024.2445311&partnerID=40&md5=3874a77f5365a1d6bf583af360eaa42c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 10304312 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 Komban A.P., Department of English and Cultural Studies, Christ University, Bangalore, India; Nayar CV A., Department of English and Cultural Studies, 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 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 Diverse Morphologies of Nb2O5 Nanomaterials: A Comparative Study for the Growth Optimization of Elongated Spiky Nb2O5 and Carbon Nanosphere Composite Subject The topic of the resource carbon composite; elongated spiky sea urchins; flakes; Morphologies; Nb2O5; sheets Description An account of the resource Controlled synthesis and design of nanomaterials with intricate morphologies and active phases offer new prospects in harnessing their unique chemical and physical properties for various applications. Herein, a facile and efficient hydrothermal approach is reported for obtaining various complex Nb2O5 nanostructures, including thin sheets, thick flakes, spiky and elongated spiky sea urchin morphologies using urotropin as a growth-directing and hydrolyzing agent in various mixed and pure solvents. The detailed structural and chemical composition, surface morphology and crystallinity of as-synthesized Nb2O5 nanostructures are presented. The urotropin concentration, reaction time, and water-ethanol solvent mixture play a critical role for obtaining the elongated spiky sea urchin morphologies. The spiky Nb2O5 structures show a pseudohexagonal phase with less urotropin content, while thin sheets are obtained with a higher urotropin concentration and are primarily amorphous. These structures undergo transformation in their crystal phase and morphologies during calcination at higher temperatures revealing the active role of urotropin in stabilizing them. A composite of spiky sea urchin Nb2O5-carbon nanospheres (suNb2O5-CNS) is achieved by in-situ growth of Nb2O5 in the presence of CNS without compromising on morphology, phase, and crystallinity. suNb2O5-CNS composite is shown to possess higher charge storage capacity compared to its constituents for supercapacitor applications. 2023 Wiley-VCH GmbH. Creator An entity primarily responsible for making the resource Kommula B.; Prabhu B R.; Kopperi H.; Bhat V.S.; Hegde G.; John N.S. Source A related resource from which the described resource is derived Particle and Particle Systems Characterization, Vol-41, No. 3 Publisher An entity responsible for making the resource available John Wiley and Sons 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/10.1002/ppsc.202300118" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/ppsc.202300118</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174692104&doi=10.1002%2Fppsc.202300118&partnerID=40&md5=1b54841f2bac3da59cd90c7632f5713e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174692104&doi=10.1002%2fppsc.202300118&partnerID=40&md5=1b54841f2bac3da59cd90c7632f5713e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9340866; CODEN: PPCHE 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 Kommula B., Centre for Nano and Soft Matter Sciences (CeNS), Shivanapura, Bengaluru, 562162, India; Prabhu B R., Centre for Nano and Soft Matter Sciences (CeNS), Shivanapura, Bengaluru, 562162, India, Prayoga Institute of Education Research, Kanakapura Road, Bengaluru, 560082, India; Kopperi H., Centre for Nano and Soft Matter Sciences (CeNS), Shivanapura, Bengaluru, 562162, India; Bhat V.S., Centre for Advanced Research and Development (CARD), CHRIST (Deemed to be University), Bangalore, 560029, India; Hegde G., Centre for Advanced Research and Development (CARD), CHRIST (Deemed to be University), Bangalore, 560029, India; John N.S., Centre for Nano and Soft Matter Sciences (CeNS), Shivanapura, Bengaluru, 562162, 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 A Simple and Efficient Ligand-Free Copper-Catalyzed C-N Bond Formation of Aryl (Hetero) Halides and N-Heteroaryl Amines Subject The topic of the resource CuI; ligand free; N-heteroaryl amines; pyrimidines and pyrazines; Ullman coupling Description An account of the resource In this protocol, we report a simple, inexpensive, and user-friendly conventional method for C-N cross coupling between aryl/heteroaryl halides and hetero aryl amines using copper iodide as a catalyst in DMSO as a solvent to prepare pyrimidines and pyrazines derivatives. The reaction conditions were optimized by screening in various copper catalysts and bases. The substrate scope of the reaction was also carried out to prepare novel functionalized N-arylated compounds in good yields. 2021 Taylor & Francis Group, LLC. Creator An entity primarily responsible for making the resource Kommuri V.C.; Tadiparthi K.; Pawar L.; Arunachalampillai A. Source A related resource from which the described resource is derived Polycyclic Aromatic Compounds, Vol-43, No. 1, pp. 665-673. Publisher An entity responsible for making the resource available Taylor and Francis Ltd. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1080/10406638.2021.2019802" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/10406638.2021.2019802</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121869403&doi=10.1080%2F10406638.2021.2019802&partnerID=40&md5=46ae29f3f0296e179082229d8e2eb390" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121869403&doi=10.1080%2f10406638.2021.2019802&partnerID=40&md5=46ae29f3f0296e179082229d8e2eb390</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 10406638 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 Kommuri V.C., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, India; Tadiparthi K., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, India; Pawar L., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, India; Arunachalampillai A., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, India