612 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 Silambarasan, E.; Naresh, E.; Asha, V.; Lamani, Manjunath Ramanna Title A name given to the resource Energy efficient heterogeneous clustering scheme using improved golden eagle optimization algorithmfor WSN-based IoT 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 Information Technology (Singapore);Volume;17;Issue;3;pp.1753-1760 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s41870-024-02029-z" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s41870-024-02029-z</a> <br /><br /><a href="https://www.scopus.com/pages/publications/85196740944?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85196740944?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 Silambarasan E., Department of Computer Applications, National Institute of Technology, Tamil Nadu, Tiruchirappalli, India; Naresh E., Department of Information Technology, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, India; Asha V., RNS Institute of Technology, Karnataka, Bengaluru, 560 098, India; Lamani M.R., CHRIST (Deemed to Be University), Kanmanike, Kumbalgudu, Mysore Road, Karnataka, Bangalore, 560074, India Description An account of the resource In the Internet of Things, Wireless Sensor Networks (WSNs) are networks of interconnected sensors that wirelessly collect and transmit information about the environment. Using IoT sensors, IoT applications can remotely monitor and control physical environments. Clustering in WSNs involves organizing sensor nodes into groups called clusters with one or more CHs for efficient data integration, communication and management, improving network performance and resource utilization. In WSNs, achieving energy efficiency is critical to extend network lifetime and ensure stable operation. An important aspect contributing to energy optimization is the selection of CHs. However, the lack of an efficient cluster head selection mechanism remains a significant challenge. Therefore, this study introduces an optimized multivariate cluster head selection method that leverages the Improved Golden Eagle Optimization Algorithm (IGEOA). With this approach, the selection of CHs is optimized, combining multiple objective functions designed for energy efficiency. By using this algorithm, clusters are formed based on the selected CHs. In addition, a cluster maintenance phase is integrated to supervise the post-establishment clustering of the network, which ensures optimal cluster performance and resource utilization in WSN. Evaluation through simulation illustrates that the proposed method significantly improves both performance and energy efficiency in a WSN environment. Bharati Vidyapeeth's Institute of Computer Applications and Management 2024. Subject The topic of the resource CH selection; Energy efficiency; IGEOA; IOT; Wireless sensor network Publisher An entity responsible for making the resource available Springer Science and Business Media B.V. Relation A related resource ISSN: 25112104; 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 Sharma, Vandana; Midhunchakkaravarthy, Divya Title A name given to the resource Trusted explainable AI based implementation for detection of neurodegenerative disorders (ND) 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 Information Technology (Singapore);Volume;17;Issue;2;pp.1275-1282 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s41870-024-02254-6" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s41870-024-02254-6</a> <br /><br /><a href="https://www.scopus.com/pages/publications/85212154627?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85212154627?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 Sharma V., Department of Computer Science and Multimedia, Lincoln University College, Petaling Jaya, Malaysia, Christ University, Bengaluru, India; Midhunchakkaravarthy D., Department of Computer Science and Multimedia, Lincoln University College, Petaling Jaya, Malaysia Description An account of the resource The potential of explainable artificial intelligence (XAI) in detection of neurodegenerative disorders (ND) holds great promise in the field of healthcare. These diseases interfere with the daily functioning and independence of a person. The current studies lack in highlighting the aspect of explainability in their predictions and the various algorithms cannot provide any plausible explanations for their predictions making it difficult for medical professionals to place trust in their findings. Thus, the proposed framework aims to bridge this gap by exploring the development of a trustworthy framework for XAI-based ND detection, focusing on key aspects that can significantly impact its effectiveness and acceptance. The framework makes use of Trust-based SHAP (SHapley Additive exPlanations) values in classification. By computing trust values, the framework ensures more reliable predictions and increases interpretability, instilling confidence in clinicians and patients. The results show that with the inclusion of the trust-driven framework, the accuracy of the algorithm increased from 93.33% in the normal circumstances to 98.21%, highlighting the efficacy of the framework as compared to the other works. This shows that a trustworthy framework for XAI-driven ND detection can reshape care by enabling early detection, personalized treatment plans and enhancing decision-making process. Bharati Vidyapeeth's Institute of Computer Applications and Management 2024. Subject The topic of the resource Artificial intelligence (AI); Explainable AI (XAI); Neurodegenerative disorders (ND); Shapely additive explanations; Trust Publisher An entity responsible for making the resource available Springer Science and Business Media B.V. Relation A related resource ISSN: 25112104; 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 Chaudhary, Ankit; Kumar, Manoj; Upreti, Kamal; Rathor, Akash; Gupta, Pratik; Farhat, Suryya; Goswami, Shivender Title A name given to the resource Computing isogeny on Edwards curves for quantum safe cryptography 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 Information Technology (Singapore);Volume;17;Issue;5;pp.3107-3118 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s41870-025-02475-3" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s41870-025-02475-3</a> <br /><br /><a href="https://www.scopus.com/pages/publications/86000505726?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/86000505726?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 Chaudhary A., Department of Mathematics and Statistics, Gurukula Kangri (Deemed to be University), Uttarakhand, Haridwar, 249404, India; Kumar M., Department of Mathematics and Statistics, Gurukula Kangri (Deemed to be University), Uttarakhand, Haridwar, 249404, India; Upreti K., School of Sciences, CHRIST University DELHI NCR Campus, Uttar Pradesh, Ghaziabad, India; Rathor A., Department of Mathematics and Statistics, Gurukula Kangri (Deemed to be University), Uttarakhand, Haridwar, 249404, India; Gupta P., Department of Mathematics, D.A.V. Degree College, Uttar Pradesh, Lucknow, India; Farhat S., Department of Applied Science and Humanities ADGIPS Shashtri Park, New Delhi, India; Goswami S., Department of Mathematics and Statistics, Gurukula Kangri (Deemed to be University), Uttarakhand, Haridwar, 249404, India Description An account of the resource In recent years, cryptographic research has seen a surge of interest in post-quantum cryptography driven by the potential threat that quantum computers pose to traditional public-key cryptosystems. Isogeny-based cryptography is a promising method in post-quantum cryptography, relying on the computational challenge of calculating isogenies, which are specific mappings between elliptic curves. The efficiency of isogeny computations is vital for real-world cryptographic applications. However, computing isogenies, especially with large parameters, can be very resource intensive. To overcome this challenge, we purpose an efficient method for computing odd-degree isogenies on certain form of an elliptic curves by employing an auxiliary coordinate. Our work appears to bridge the gap in computational efficiency for odd-degree isogenies, especially in terms of reducing the complexity of the isogeny computations when compared to traditional affine and projective methods. The derived formula is more efficient than affine and projective cases. We also analyse the algebraic complexity of these calculations and compare them to alternative formulae. Additionally, we evaluate the runtimes for isogeny computation across different prime numbers and compare them with other elliptic curve model to check the performance. At last, we suggest potential avenues for future work. Bharati Vidyapeeth's Institute of Computer Applications and Management 2025. Subject The topic of the resource Cryptography; Elliptic curves; Isogenies; Post-quantum cryptography; Supersingular elliptic curves Publisher An entity responsible for making the resource available Springer Science and Business Media B.V. Relation A related resource ISSN: 25112104; 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 Kaushik, Ruchi; Pradeep, S.; Shanbhog, Manjula; Tamizhselvi, A.; Jagdale, Jayashree; Mahajan, Rashima Title A name given to the resource A novel deep learning based multimedia video retrieval framework using may fly optimization 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 Information Technology (Singapore); Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s41870-025-02587-w" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s41870-025-02587-w</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105007443959?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105007443959?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 Kaushik R., Xavier Institute of Management and Entrepreneurship, Bengaluru, India; Pradeep S., Department of CSE, Malla Reddy Engineering College for Women, Maisammaguda, Kompally, Telangana, Secunderabad, India; Shanbhog M., School of Science, Christ University, Bengaluru, India; Tamizhselvi A., IT, St. Josephs College of Engineering, Chennai, India; Jagdale J., Information Technology, Pune Institute of Computer Technology, Pune, India; Mahajan R., Manav Rachna International Institute of Research and Studies, Faridabad, India Description An account of the resource Developing a video retrieval framework in multimedia management is a main challenge due to the massive growth of video content on the internet. A major drawback of video retrieval is its long search response time and low accuracy. To tackle these issues, this paper introduces a novel deep learning-based Multimedia video retrieval system (DL-MVR) to minimize the search response time with high accuracy. The collected video is initially converted into key frames and pre-processed with contrast adaptive histogram equalization to remove noise artifacts thereby improving image quality. After pre-processing, the images are fed to Efficient Net to extract patch features. Finally, to retrieve the similar video, matching is done using may fly optimization (MFO), that compares the query frame features to the video database. Several performance metrics are analysed to measure the effectiveness of the proposed strategy in terms of accuracy and response time. Experimental results indicate that the proposed system has a search response time of 0.71s, which is lower than existing methods. The proposed DL-MVR method achieves 99.26% of accuracy. The proposed method improves the overall accuracy by 9.32%, 22.04%, and 19.40% which is better than CNN-AlexNet (convolutional neural network), Pyramid regional graph network and CBVR respectively. Bharati Vidyapeeth's Institute of Computer Applications and Management 2025. Subject The topic of the resource Efficient net; Histogram equalization; May fly optimization (MFO); Multimedia; Video retrieval Publisher An entity responsible for making the resource available Springer Science and Business Media B.V. Relation A related resource ISSN: 25112104; 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 Venugopal, Anita; Purad, Hemavati C.; Shanbhog, Manjula; Malhotra, Richa; Kaur, Tejinder; Jha, Nivedita Title A name given to the resource AI-driven deep learning framework for energy-efficient optimization in IoT-enabled wireless networks 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 Information Technology (Singapore); Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s41870-025-02649-z" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s41870-025-02649-z</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105014889373?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105014889373?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 Venugopal A., IT Deparment, Dhofar University, Dhofar, Salalah, Oman; Purad H.C., Department of AIML, Ballari Institute of Technology &amp; Management, Karnataka, Ballari, India; Shanbhog M., Department of Computer Science, Christ University, Bangalore, India; Malhotra R., Dr. Akhilesh Das Gupta Institute of Professional Studies (ADGIPS), Delhi, India; Kaur T., Department of MMICTBM, Maharishi Markandeshwar (Deemed To Be University), Mullana, Haryana, Ambala, India; Jha N., Symbiosis Institute of Business Management, Symbiosis International (Deemed) University, Nagpur, India Description An account of the resource Artificial intelligence (AI) and Internet of Things (IoT)-enabled wireless sensor networks (WSNs) have revolutionized industries by providing automation, real-time monitoring, and analytics that are predictive. WSNs still face significant obstacles such data security, network flexibility, and energy limitations in spite of these developments. In order to optimize energy use in Internet of Things (IoT)-based WSNs, this study introduces a novel Reinforcement Learning-based Energy-Efficient Communication Protocol (RL-EECP) to optimize the lifetime of networks and guarantee effective data transmission. The suggested protocol integrates sleep scheduling, reinforcement learning, and data fusion techniques. Also, an adaptive prioritization approach is introduced that assesses nodes according to the surroundings, significance, and energy consumption. Experiments show that RL- EECP performs better than existing studies in extending node lifetime and preserving excellent network performance. Bharati Vidyapeeth's Institute of Computer Applications and Management 2025. Subject The topic of the resource Data Fusion; Energy Efficiency; IoT; Network Optimization; Reinforcement Learning; Sleep Scheduling; Wireless Sensor Networks Publisher An entity responsible for making the resource available Springer Science and Business Media B.V. Relation A related resource ISSN: 25112104; 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 Radhakrishnan, G.V.; Upreti, Kamal; Kshirsagar, Pravin R.; Krishnan, Sivaneasan Bala; Shankar, Uma; Jain, Rituraj; Tiwari, Akhilesh Title A name given to the resource A statistically guided hybrid machine learning framework for predicting supply chain resilience in complex operational environments Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived International Journal of Information Technology (Singapore);Volume;18;Issue;1;pp.629-644 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s41870-025-02794-5" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s41870-025-02794-5</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105019658226?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105019658226?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 Radhakrishnan G.V., Kalinga School of Management, Kalinga Institute of Industrial Technology, Bhubaneswar, India; Upreti K., Department of Computer Science, Christ University, Delhi NCR Campus, Ghaziabad, India; Kshirsagar P.R., Electronics and Telecommunication Engineering, J D College of Engineering and Management, Maharashtra, Nagpur, India; Krishnan S.B., Engineering Cluster, Singapore Institute of Technology, Singapore, Singapore; Shankar U., Faculty of Management and Social Sciences, Qaiwan International University, Kurdistan, Sulaimanyah, Iraq; Jain R., Department of Information Technology, Marwadi University, Gujarat, Rajkot, India; Tiwari A., Department of Business and Management, Christ University, Delhi NCR Campus, Ghaziabad, India Description An account of the resource This study proposes a hybrid machine learning framework to predict supply chain resilience by integrating principal component analysis, K-Means clustering, and ensemble learning models. The approach captures firm-level heterogeneity, enabling context-specific resilience prediction and interpretability using SHAP values. The findings demonstrate that ensemble models, particularly XGBoost, outperform traditional regression models, and reveal distinct resilience drivers across operational clusters. The framework offers actionable insights for improving resilience strategies and contributes a scalable, explainable approach for data-driven supply chain risk management. Bharati Vidyapeeth's Institute of Computer Applications and Management 2025. Subject The topic of the resource Explainable AI; Operational efficiency; Predictive modeling; Supply chain resilience; Supply chain strategy Publisher An entity responsible for making the resource available Springer Science and Business Media B.V. Relation A related resource ISSN: 25112104; 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 Mallick, Shrabani; Suhas, S.; John, Tegil J.; Mallick, Soubhagya Ranjan; Chaudhary, Neha; Tumma, Shyam Sunder; Behera, Aurobinda Title A name given to the resource A hybrid GNNvanilla vision transformer model for IoT-based soil and crop forecasting 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 Information Technology (Singapore);Volume;17;Issue;9;pp.5713-5719 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s41870-025-02805-5" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s41870-025-02805-5</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105019655564?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105019655564?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 Mallick S., Department of CSE, Dr. B.R Ambekar Institute of Technology Port, Blair, India; Suhas S., Department of Computer Science and Engineering, SJCE, JSS Science and Technology University, Karnataka, Mysore, India; John T.J., Computer Science and Engineering, Christ University, Bangalore, India; Mallick S.R., Symbiosis Institute of Technology, Symbiosis International (Deemed University), Nagpur Campus, Pune, India; Chaudhary N., Research and Development Cell, Swami Vivekanand Subharti University, Uttar Pradesh, Meerut, India; Tumma S.S., Department of MBA, Auroras PG College (MBA), Hyderabad, Ramanthapur, India; Behera A., Department of Vegetable Science, College of Agriculture, Odisha University of Agriculture and Technology (OUAT), Odisha, Bhubaneswar, 751003, India Description An account of the resource In this work, we propose a Graph?Neural Network (GNN) and Vanilla Transformer-based hybrid model for IoT driven soil and crop prediction. Conventional forecasting approaches are unable to model complicated spatial and temporal inter-dependencies and are not?very effective. The given paper solves this problem by using GNNs to learn the spatial relationships among the IoT sensor nodes and vanilla transformer model to?learn the temporal dependencies in crop and weather data. Vanilla vision transformer is able to recover missing contextual information during training. It is trained on data from IoT sensors that monitor soil moisture, temperature, humidity and a variety of other environmental factors as?well as historical crop yield and weather related information. The hybrid model can enable the real-time accurate prediction for crop?yield production and soil health status, which enables a smarter agriculture decision. The experimental results show that the proposed work achieves the lowest root mean square error (RMSE 2.1) and the highest crop accuracy (92%) for?short-term and long-term forecasts. Bharati Vidyapeeth's Institute of Computer Applications and Management 2025. Subject The topic of the resource Crop yield prediction; GNN; IoT-based forecasting; Precision agriculture; Spatial-temporal modeling; Vanilla vision transformer Publisher An entity responsible for making the resource available Springer Science and Business Media B.V. Relation A related resource ISSN: 25112104; 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 Ambrose, Adebanjo Falade; Agarwal, Gaurav; Sanghi, Akash; Panwar, Sarika; Upreti, Kamal; Jain, Rituraj Title A name given to the resource An intelligent black-box testing model for isolating logical flaws and anomalies in applications using GTMRM 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 Information Technology (Singapore); Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s41870-025-02871-9" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s41870-025-02871-9</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105022654162?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105022654162?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 Ambrose A.F., Department of Computer Science Engineering, Invertis University, Bareilly, India; Agarwal G., Department of Computer Science Engineering, Invertis University, Bareilly, India; Sanghi A., Department of Computer Applications, Invertis University, Bareilly, India; Panwar S., Department of Electronics and Telecommunication Engineering, MIT Academy of Engineering, Pune, India; Upreti K., Department of Computer Science, Christ University, Delhi NCR Campus, Ghaziabad, India; Jain R., Department of Information Technology, Marwadi University, Gujarat, Rajkot, India Description An account of the resource Web Applications (WAs) are becoming more vulnerable to attacks as they are more popular. Nevertheless, the conventional testing methodologies didnt differentiate the Logical Flaws (LFs) and anomalies in WAs, thereby increasing the misclassification rate. Hence, in this paper, a novel black-box testing framework that incorporates an advanced technique called Gated Transformer Memorized transferred Recurrent Mishswish unit (GTMRM) is proposed for distinguishing between LFs and other vulnerabilities, thus enhancing the reliability of WAs. Initially, the user registration is carried out, followed by Hash-based Message Authentication Code Hash-based Message Authentication Code (HMAC) creation. Afterward, the registered users log into the application to request a Uniform Resource Locator (URL) for access. In the meantime, to authenticate the user, the HMAC verification is performed. Once the authentication is successful, the user is granted for accessing the functionalities. Thereafter, the black-box-centric LF and anomaly identification is done; here, the raw dataset is initially pre-processed. Subsequently, concerning a similar domain, the pre-processed data is clustered. Next, the features are extracted, followed by feature selection. Then, from the grouped data, the graph is constructed. The pattern labelling is carried out centered on the graph features. Lastly, the Logical Flaws (LF), anomaly, and legitimate access are proficiently classified by the proposed GTMRM. A compensation measure is applied in the case of a LF. After that, the data is securely stored in the cloud server with an accuracy of 99.14%. Bharati Vidyapeeth's Institute of Computer Applications and Management 2025. Subject The topic of the resource Automated black-box testing; Data privacy; Exponent belled fuzzy inference system; Logical flaws; Web security Publisher An entity responsible for making the resource available Springer Science and Business Media B.V. Relation A related resource ISSN: 25112104; 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 Praghash, K.; Chalasani, Vidyadhari; Balan, Santhosh Kumar; Daniya, T. Title A name given to the resource Pediatric brain tumor segmentation and classification framework using SGC-U-NET and ARC-DEEP-CNN 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 Information Technology (Singapore); Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s41870-025-02966-3" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s41870-025-02966-3</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105025465649?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105025465649?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 Praghash K., Department of Electronics and Communication Engineering, Christ University, Bengaluru, India; Chalasani V., Department of Information Technology, Gokaraju Rangaraju Institute of Engineering and Technology, Bachupally, Hyderabad, India; Balan S.K., Department of Computer Science and Engineering, Guru Nanak Institute of Technology, Ranga Reddy (District), Ibrahimpatnam, Telangana, 501506, India; Daniya T., Department of CSE (AI &amp; ML), GMR Institute of Technology, Rajam, Andhra Pradesh, Vizianagaram, India Description An account of the resource Timely and precise pediatric Brain Tumor (BT) classification is challenging in the prevailing studies owing to the lack of growth rate calculation. Therefore, this paper proposes a growth rate-aware intelligent BT classification using child Magnetic Resonance Imaging (MRI) based on Arcsin Deep Convolutional Neural Network (Arc-Deep-CNN). Initially, the child's MRI is collected and then pre-processed for angle correction, resolution improvement, skull removal, and edge sharpening to improve the image quality. Meanwhile, the binary image dilation is done in the postpre-processing for accurate tumor location identification using the Central Limit Theorem-based Battle Royale Optimization Algorithm (CLT-BROA). From the pre-processed images, the wavelet features are extracted to improve the detection rate. Based on the tumor-identified images, pre-processed images, and extracted features, a robust Shuffled Group Convolutional layer added U-Net (SGC-U-Net) significantly segments the normal brain, benign, core, and malignant tumors affected brain. Then, the 3D tumor reconstruction is done by performing splitting, feature extraction, and growth rate calculation. Finally, a novel Arc-Deep-CNN proficiently classifies the BT into Medulloblastoma, Glioma, and Meningioma tumors with respect to the growth rate. The proposed Arc-Deep-CNN achieved maximum accuracy and minimum training time of 98.77% and 52136ms, respectively, showing impressive performance in pediatric BT classification. Bharati Vidyapeeth's Institute of Computer Applications and Management 2025. Subject The topic of the resource Arcsin deep convolutional neural network (Arc-Deep-CNN); Brain tumor; Central limit theorem-based battle royale optimization algorithm (CLT-BROA); Magnetic resonance imaging (MRI); Medulloblastoma; Shuffled group convolutional layer added U-net (SGC-U-Net) Publisher An entity responsible for making the resource available Springer Science and Business Media B.V. Relation A related resource ISSN: 25112104; 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 Salim, Sneha; Vijayalakshmi, A. Title A name given to the resource Segmentation of overlapping leukemic cells in histopathological images using HSV- based watershed transformation 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 Information Technology (Singapore); Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s41870-025-02998-9" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s41870-025-02998-9</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105024347242?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105024347242?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 Salim S., Department of Statistics and Data Science, Christ University, Bengaluru, India; Vijayalakshmi A., Department of Statistics and Data Science, Christ University, Bengaluru, India Description An account of the resource Accurate segmentation of white blood cells (WBCs) is essential for computer-aided diagnosis, as overlapping and densely clustered cells often present significant challenges. This work introduces a hybrid framework for segmentation that proposes a fusion of hue and saturation in the Hue Saturation Value (HSV) domain. Gaussian smoothing, Otsu thresholding, and Morphological refinement is employed to enhance cell contrast and eliminate noise. A marker-based watershed algorithm is subsequently applied for accurate separation of overlapping WBCs. Evaluation on the ALL-IDB2 dataset confirms the methods capability through achieving a Dice Similarity Coefficient(DSC) of 0.8929 and an Intersection over Union (IoU) of 0.8099 to produce well-defined cellular boundaries. The novelty of this study lies in the integrated hue-saturation fusion and marker-based watershed strategy, offering improved boundary localization and reliable segmentation of overlapping WBCs. Bharati Vidyapeeth's Institute of Computer Applications and Management 2025. Subject The topic of the resource HSV color space; Marker-Watershed segmentation; Overlapped cells; Segmentation; White blood cells (WBCs) Publisher An entity responsible for making the resource available Springer Science and Business Media B.V. Relation A related resource ISSN: 25112104; 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 Siddalingappa, Rashmi; Deepa, S.; Priya Stella Mary, I.; Kalpana, P.; B A, Lakshmi Title A name given to the resource FEDGE: FEDerated learning at the EDGE on space platforms using deep neural network architectures 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 Information Technology (Singapore); Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s41870-025-03010-0" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s41870-025-03010-0</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105025426540?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105025426540?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 Siddalingappa R., Department of Computer and Data Science, York St John University, London, E14 2BA, United Kingdom; Deepa S., Department of Computer Science, Christ University, Karnataka, Bangalore, 560073, India; Priya Stella Mary I., Department of Computer Science, Christ University, Karnataka, Bangalore, 560073, India; Kalpana P., Department of Computer Science, Christ University, Karnataka, Bangalore, 560073, India; B A L., UST Global, Bangalore, India Description An account of the resource We introduce FEDGE: FEDerated Learning at the EDGE, a framework designed for efficient AI deployment in resource-constrained satellite constellations. FEDGE integrates federated learning with edge computing to address communication overhead and latency challenges in distributed space environments. The framework features a novel edge-enhanced ground station protocol that dynamically schedules model aggregation based on satellite-provided metadata, combined with local stochastic gradient descent training at satellite edge devices and gradient compression via quantization. Experimental validation on MNIST and EuroSAT datasets demonstrates the practical viability of the approach. On MNIST, FEDGE achieved 94.33% training accuracy with 0.21 loss and 90.05% test accuracy with 0.24 loss. On EuroSAT, the framework reached 93.47% training accuracy with 0.18 loss and 91.51% test accuracy with 0.21 loss. Gradient quantization reduces data exchange by up to 14 with approximately 4% impact on test loss. These results validate FEDGE as a communication-efficient solution for decentralized AI deployment in satellite systems, enabling autonomous spacecraft intelligence and addressing the unique constraints of space-based computing platforms. The Author(s) 2025. Subject The topic of the resource Federated Learning, Edge Computing, Machine Learning, Internet-of-Things, Deep Neural Network Architecture, Stochastic Gradient Descent Publisher An entity responsible for making the resource available Springer Science and Business Media B.V. Relation A related resource ISSN: 25112104; 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; Green Open Access; Hybrid Gold Open Access Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Puneeth, V.; Sini, Katharin; Clair, Tom; Anwar, M. Shoaib Title A name given to the resource Flow of nanofluid past a stretching cylinder subject to Thompson and Troian slip in the presence of gyrotactic microorganisms 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 Multiscale and Multidisciplinary Modeling, Experiments and Design;Volume;8;Issue;1;Article No.;84; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s41939-024-00667-1" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s41939-024-00667-1</a> <br /><br /><a href="https://www.scopus.com/pages/publications/85211160351?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85211160351?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 Puneeth V., Department of Mathematics, CHRIST University, Bengaluru, 560029, India; Sini K., Department of Mathematics, CHRIST University, Bengaluru, 560029, India; Clair T., Department of Mathematics, CHRIST University, Bengaluru, 560029, India; Anwar M.S., Department of Mathematics, University of Jhang, Islamabad, Jhang, Pakistan Description An account of the resource Incorporating the Thompson and Troian slip condition, this work studies the bioconvective flow of a nanofluid past a vertically stretching cylinder. The Thompson and Troian slip deals with the molecular scale interactions at the solidfluid interface, which plays a pivotal role in the fluid flow analysis. This study helps in understanding the behaviours of fluid flow in the presence of non-linear slip past a vertically stretching cylinder. The corresponding partial differential equations (PDEs) for momentum, energy, concentration of nanoparticles, and concentration of microbes are developed using Buongiornos model. A suitable similarity transformation is then applied to these PDEs, converting them into a set of ordinary differential equations (ODEs). The RungeKuttaFehlberg (RKF-45) method is utilized to calculate the numerical solution of the resulting ODE problem. The results demonstrate that the interaction of slip conditions, viscous dissipation, heat source, and bioconvection causes complex flow patterns and heat transfer characteristics. These observations are extremely relevant for applications including better oil recovery procedures, biomedical engineering, and microfluidic devices where exact control over nanofluid behaviour is necessary. Some of the major observations of the study include the enhancement of the temperature in the nanofluid for higher Eckert numbers, control of fluid flow through an external magnetic field, and Peclet number significantly decreased the motile density in the nanofluid. The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. Subject The topic of the resource Bioconvection; Magnetic field; Stretching cylinder; Thompson and Troian slip; Viscous dissipation Publisher An entity responsible for making the resource available Springer Science and Business Media B.V. Relation A related resource ISSN: 25208160; 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 Kundu, Shreyan; Mukhopadhyay, Souradeep; Talukdar, Rahul; Das, Semanti; Adhikari, Subhajit Title A name given to the resource Just: towards jute pest classification by combination of supervised learning and triplet loss aided contrastive 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 Iran Journal of Computer Science;Volume;8;Issue;2;pp.365-378 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s42044-024-00222-8" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s42044-024-00222-8</a> <br /><br /><a href="https://www.scopus.com/pages/publications/85217246258?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85217246258?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 Kundu S., Computer Science and Engineering (Artificial Intelligence), Institute of Engineering and Management, Iem Management Building, D-1, Street No. 13, EP Block, Sector V, Bidhannagar, West Bengal, Kolkata, 700091, India; Mukhopadhyay S., Computer Science and Automation, Indian Institute of Science, CV Raman Road, Karnataka, Bangalore, 560012, India; Talukdar R., Computer Science and Engineering (core), Institute of Engineering and Management, Iem Management Building, D-1, Street No. 13, EP Block, Sector V, Bidhannagar, West Bengal, Kolkata, 700091, India; Das S., Department of Lifescience, Christ University, Hosur Main Road, Bhavani Nagar, Karnataka, Bangalore, 560029, India; Adhikari S., Department of Information Technology, RCCIIT KOLKATA, West Bengal, Kolkata, 700015, India Description An account of the resource Jute is a vital agricultural commodity contributing significantly to the GDP of countries like Bangladesh, India, Myanmar, and China. However, because of its inaccuracy and slowness, its vulnerability to pest infestations-which are often handled by manual inspections-poses serious cost concerns. This study suggests a unique method for early and accurate pest identification that combines contrastive and supervised learning. Contrastive learning enhances feature representation by distinguishing between positive and negative samples, ensuring that instances within the same class are closely grouped while maintaining separation between different classes. It reduces false negatives by classifying some samples as negative and others with the same label as positive. Supervised learning enables precise pest identification by aligning features with distinctive characteristics of each class. Metrics including precision, recall, F1 score, ROC curve, and confusion matrix are used to assess the hybrid models performance; the findings show notable accuracy gains over conventional techniques. This scalable and dependable solution lowers losses caused by pests and provides a sustainable method of growing jute using cutting-edge advanced machine-learning techniques. The Author(s), under exclusive licence to Springer Nature Switzerland AG 2025. Subject The topic of the resource Augmentation; Contrastive learning; Supervised learning; Triplet loss Publisher An entity responsible for making the resource available Springer International Publishing Relation A related resource ISSN: 25208438; 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 Narvekar, Hemangi Narayan; Ghani, Sarah Title A name given to the resource Animal-Assisted Therapy for the Promotion of Social Competence: a Conceptual Framework 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 Human Arenas;Volume;8;Issue;1;Article No.;630465;pp.215-224 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s42087-022-00313-7" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s42087-022-00313-7</a> <br /><br /><a href="https://www.scopus.com/pages/publications/86000377101?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/86000377101?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 Narvekar H.N., Department of Psychology, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Ghani S., Department of Psychology, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India Description An account of the resource Developmental disorders have a substantial effect on the social competence of children affecting their overall psychosocial functioning. Social competence entails the process of being socially mature by establishing stable and adaptive patterns of social behavior. Animal-assisted therapy, as an alternative treatment modality, has offered some new prospects for improving social cognition. This conceptual paper, thus, attempts to throw light on how animal-assisted therapy can help improve social competence. The paper draws its knowledge from the existing theories and empirical work done to propose a conceptual framework that can enhance social competence by incorporating therapy animals. It can be concluded that animal-assisted therapy has found to improve different dimensions crucial for development of social competence. This further suggests the dire need to explore the effectiveness of human-animal interactions by utilizing it for improving social competence. The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022. Subject The topic of the resource Animal-assisted interventions; Human-animal bond; Neurodevelopmental disorders; Social adaptation; Social maturity Publisher An entity responsible for making the resource available Springer Science and Business Media B.V. Relation A related resource ISSN: 25225804; 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 Ray, Shreemayee; Afsar, Mohammed; Pandey, Vatsal Priyadarshi Title A name given to the resource Exploring White Knight Syndrome in an Indian Setting: A Grounded Theory Approach Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Human Arenas;Volume;8;Issue;3;pp.973-989 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s42087-023-00332-y" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s42087-023-00332-y</a> <br /><br /><a href="https://www.scopus.com/pages/publications/85148433645?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85148433645?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 Ray S., Department of Psychology, CHRIST (Deemed to Be University), Delhi NCR, Ghaziabad, India; Afsar M., Department of Psychology, CHRIST (Deemed to Be University), Delhi, Ghaziabad, India; Pandey V.P., Department of Psychology, Lakshmibai College, Delhi University, Delhi, India Description An account of the resource White knights are individuals who enter into romantic relationships with damaged and vulnerable partners, hoping that love will transform their partners behaviour or life. Existing literature on white knight is limited to a handful of studies, primarily based on Western population. The present research aimed at developing a substantive theory on white knight syndrome in an Indian setting. The study follows a qualitative paradigm and the research design is grounded theory approach to be specific. Participants for the study were screened using Lamias white knight checklist. Data has been collected from eighteen young adults aged 1825years through semi-structured interviews. The data was analyzed using Strauss and Corbin grounded theory analysis. The study identified six phasespre-relationship phase, needs exploration phase, shining white knight phase, drained white knight phase, golden realization phase, and finally delayed breakup. Along with the phases, the study identified factors, characteristics, and types of white knight. The study has implications in the clinical and counselling field in identifying and understanding white knight tendencies. Additionally, the theory is applicable in the Indian setting highlighting the intricate interaction between culture, norms, roles, and the recent social factors. The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Subject The topic of the resource Grounded theory; Indian setting; Relationship; White knight Publisher An entity responsible for making the resource available Springer Science and Business Media B.V. Relation A related resource ISSN: 25225804; 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 Dean, Chelsea; Afsar, Mohammed; Pandey, Vatsal Priyadarshi Title A name given to the resource Resilience in Children from Different Socioeconomic Backgrounds: An Exploratory Study 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 Human Arenas;Volume;8;Issue;2;pp.334-348 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s42087-023-00336-8" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s42087-023-00336-8</a> <br /><br /><a href="https://www.scopus.com/pages/publications/85148955650?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85148955650?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 Dean C., Department of Psychology, CHRIST Deemed to be University, NCR, Delhi, 201003, India; Afsar M., Department of Psychology, CHRIST Deemed to be University, NCR, Delhi, 201003, India; Pandey V.P., Department of Psychology, Lakshmi Bai College, Delhi University, New Delhi, India Description An account of the resource Poverty, violence, substance abuse, family dissonance and illness represent a few potential vulnerabilities in the lives of children who are at risk of failing in their future prospects. It is thus essential to explore resilience in children, owing to the excess or deficit of exposure and access in a childs life. This study aims at exploring the resilience of children of the age group 710years, from different socioeconomic backgrounds. The socioeconomic status was determined using the Kuppuswamy socioeconomic scale and these children had parents with authoritarian and permissive parenting styles which were screened through the Parenting Styles and Dimensions Questionnaire which act as risk factors for the children. Data was collected through individual semi-structured interviews with the participants and was analysed using thematic analysis. For the lower socioeconomic status group, the main themes identified were social interaction and competence, overcoming distress and future focus, and for the upper socioeconomic status group, the main themes identified were social interaction and competence and emotional management. The study paves the way for further exploration of the impact of economic status on childrens wellbeing and might inform changes at a clinical, research and policy level. The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Subject The topic of the resource Children; Parenting; Resilience; Socioeconomic background Publisher An entity responsible for making the resource available Springer Science and Business Media B.V. Relation A related resource ISSN: 25225804; 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 Gambhir, Simran; Panwar, Neeraj Title A name given to the resource Sexual Relationship Decision Making Based on Entertainment Media: A Qualitative Perspective Among Young Couples 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 Human Arenas;Volume;9;Issue;1;pp.394-426 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s42087-023-00389-9" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s42087-023-00389-9</a> <br /><br /><a href="https://www.scopus.com/pages/publications/85182467968?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85182467968?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 Gambhir S., Department of Psychology, School of Humanities and Social Sciences, CHRIST (Deemed to be University), NCR, Delhi, India; Panwar N., Department of Psychology, School of Humanities and Social Sciences, CHRIST (Deemed to be University), NCR, Delhi, India Description An account of the resource As important as physical, mental, or social health is sexual health. Teenage pregnancy, STDs/STIs, and unsafe abortions are just a few of the population health issues that can arise from the absence of adequate sex education for young people. The purpose of this study is to investigate the process of sexual decision-making as influenced by media intervention among couples. Entertainment education (EE) is an approach that uses storytelling to influence large-scale behaviour change. EE has been used as a potent tool to educate, enlighten, and influence society and individual behaviour change worldwide. Through entertainment education, people have been taught about themes like HIV, family planning, pregnancy and child health, violence against women, and other subjects. Web series or movies that are accessible on the online subscription service, Netflix was taken into consideration for this study. Although there is a great deal of research on adolescent sexuality, studies of sexual decision-making have traditionally been gendered, meaning that men and women have been examined separately. This study is designed for a qualitative investigation using a phenomenological approach. Thematic analysis was employed to analyse semi-structured interviews of couples in a heterosexual romantic relationship. The findings will reveal the influence of entertainment education on young couples choices in their intimate relationships. The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. Subject The topic of the resource Decision-making; Entertainment education; Netflix; Sexual health; Sexual intimacy; Young adults Publisher An entity responsible for making the resource available Springer Science and Business Media B.V. Relation A related resource ISSN: 25225804; 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 P, Naga Sai Divya Prathyusha; Appachu, Hema Title A name given to the resource Understanding Peer Victimisation and Related Coping Strategies Among Young Adults 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 Human Arenas;Volume;9;Issue;1;pp.259-272 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s42087-024-00405-6" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s42087-024-00405-6</a> <br /><br /><a href="https://www.scopus.com/pages/publications/85187279102?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85187279102?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 P N.S.D.P., Department of Psychology, CHRIST (Deemed to be University), Delhi NCR, India; Appachu H., Department of Psychology, CHRIST (Deemed to be University), Delhi NCR, India Description An account of the resource Peer victimisation is a term used to describe the process of an individual being bullied by other peers, physically as well as socially, which affects the victims personality, emotional functioning, behaviour, and well-being. In response, the victims adopt several coping strategies to deal with the situation. However, the experience makes an indelible mark on those who have been victims of the process. This current study aims to understand the perspectives of young adults who have experienced peer victimisation and also explore the coping strategies used by them. The study adopts a qualitative research design, based on which data was collected from young adults (n = 10) using semi-structured interviews. After a process of screening, participants were chosen using a purposive sampling method. The data collected was analysed using Interpretative Phenomenological Analysis (IPA), through which various super-ordinate themes emerged. The significant themes focus on the nature of peers, experiences of peer victimisation, risk factors leading to peer victimisation, consequences of peer victimisation, coping mechanisms, and strategies to prevent peer victimisation. The findings highlight the understanding of the repercussions of peer victimisation and emphasise the need to adopt innovative strategies, implement pre-emptive interventions, and mandate decisive measures to mitigate instances of peer victimisation. The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. Subject The topic of the resource Coping strategies; Peer victimisation; Risk factors; Young adults Publisher An entity responsible for making the resource available Springer Science and Business Media B.V. Relation A related resource ISSN: 25225804; 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 John, Ashima; Tushir, Bhawna; Srivastava, Akancha Title A name given to the resource Untold Stories from the Slums: A Qualitative Exploration of the Lives of Female Informal Waste Workers 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 Human Arenas; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s42087-025-00474-1" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s42087-025-00474-1</a> <br /><br /><a href="https://www.scopus.com/pages/publications/85217196063?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85217196063?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 John A., Department of Psychology, CHRIST (Deemed to be University), NCR, Delhi, India; Tushir B., Department of Psychology, CHRIST (Deemed to be University), NCR, Delhi, India; Srivastava A., Jindal School of Psychology and Counselling, O.P. Jindal Global University, Haryana, Sonipat, India Description An account of the resource The present study investigates the nuanced experiences of urban informal waste workers, shedding light on the intricate realities shaping their daily lives. Employing purposive sampling, in-depth interviews were conducted, specifically targeting female participants aged eighteen and above, engaged in informal waste work for a minimum duration of one year. A total of ten in-depth interviews were meticulously executed, with recordings subsequently translated and transcribed for thorough analysis. Utilizing Braun and Clarks thematic analysis method, a comprehensive examination of the data yielded a hierarchical structure comprising codes, sub-themes, and overarching themes. The central themes identified encapsulate the multifaceted challenges encountered by urban informal waste workers, including Occupational Hardships and Vulnerability, Economic Struggles and Diminished Quality of Life, Commitment to Family, Emotional and Psychosocial Challenges, Appreciation and Acknowledgment of Support Received, Decreased Willingness to seek help, and Aspirations and Hopes for the future. By amplifying the voices of these marginalized workers, this study advocates for the implementation of inclusive policies and interventions tailored to address their diverse needs within the urban milieu. Through its findings, the study aims to cultivate a more compassionate and supportive environment that not only recognizes the invaluable contributions of urban informal waste workers but also strives to enhance their overall well-being and socio-economic standing. The Author(s), under exclusive licence to Springer Nature Switzerland AG 2025. Subject The topic of the resource Economic struggles; Marginalized communities; Mental health; Occupational vulnerabilities; Resilience; Urban informal waste workers Publisher An entity responsible for making the resource available Springer Science and Business Media B.V. Relation A related resource ISSN: 25225804; 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 Singhal, Surbhi; Prakash, Nidhi Title A name given to the resource Can Tradition and Ambition Coexist? Unpacking Career and Collective Identity Integration Among Indian Emerging Adults 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 Human Arenas; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s42087-025-00515-9" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s42087-025-00515-9</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105013021583?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105013021583?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 Singhal S., Department of Psychology, University of Delhi, New Delhi, India, Department of Psychology, CHRIST (Deemed to be University), Ghaziabad, Delhi NCR Campus, India; Prakash N., Department of Psychology, University of Delhi, New Delhi, India Description An account of the resource Developing a meaningful identity requires integrating lived experiences by coordinating the past, present and future identities, integrating multiple personally meaningful identity domains, or aligning ones identities with ones culture to form a coherent sense of self. However, there is a dearth of studies on identity integration across multiple identity domains in the Indian sociocultural context. Even in the West, identity integration is studied using survey methods predominantly in minority populations and on identity domains like ethnicity/religion and religion/sexuality. However, this focus risks overlooking the complexity and nuance of identity experiences, which are often deeply shaped by personally salient and central domains such as career and family. Thus, this paper expands the understanding of identity integration across career and collective identity, considering its relevance among Indian emerging adults using a qualitative approach. Ten emerging adults (1825 years) were purposively selected, and their interviews were analysed using inductive thematic analysis. The narrative accounts revealed career and collective identity integration as a bidirectional phenomenon where family dynamics influence career identities, which, in turn, influence family relations and the reshaping of their worth and communication dynamics. A unique configuration of struggling to balance between family and career emerged as emerging adults negotiated between their desire to stay with family and career pursuits. The impact of financial independence on career identity and parental relationships emerged as another significant aspect. The results discuss theoretical and practical implications for identity research in light of urban Indias unique sociocultural context. The Author(s), under exclusive licence to Springer Nature Switzerland AG 2025. Subject The topic of the resource Career identity; Collective identity; Emerging adults; India; Integration; Qualitative Publisher An entity responsible for making the resource available Springer Science and Business Media B.V. Relation A related resource ISSN: 25225804; 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