519 20 16481 https://archives.christuniversity.in/files/original/5d8f84bb45d9e1d44436c565c22d0a6c.jpg 96e0cb74b7edc75db27cde5309115286 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 Patents Subject The topic of the resource Patent Description An account of the resource Patent Patent Patents 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 Messaging service for business and operations and inquiries / Subject The topic of the resource Electronics Description An account of the resource Patent Number: 202111036684, Applicant: Dr. Akhilesh Tiwari. The present inventions is about a method and system by which the entity can interact with each other in a manufacturing channel by using a messaging system (11). The said messaging system to perform status inquiry and functional processing steps with respect to data stored (1) at the resource management system of the other. That information is transmitted through a messaging system (11) to the other party such as the seller. Creator An entity primarily responsible for making the resource Tiwari, Akhilesh. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/1n9qQK5auMND9ZmH62X1Z3qXb0AGscNlj/view" target="_blank" title="Messaging service for business and operations and inquiries /" rel="noreferrer noopener">https://drive.google.com/file/d/1n9qQK5auMND9ZmH62X1Z3qXb0AGscNlj/view</a> Publisher An entity responsible for making the resource available Intellectual Property India Date A point or period of time associated with an event in the lifecycle of the resource 2021-05-06 Language A language of the resource English Type The nature or genre of the resource Patent 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 Mathur, Smriti; Vishnoi, Sushant Kumar; Tripathi, Abhinav Priyadarshi; Panjwani, Niharika Title A name given to the resource Meta AI features on users flow experience and acceptance in the beauty and cosmetics industry: moderating role of Meta AI literacy 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 Journal of Systems and Information Technology;pp.1-22 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1108/JSIT-01-2025-0020" target="_blank" rel="noreferrer noopener">https://doi.org/10.1108/JSIT-01-2025-0020</a> <a href="https://www.scopus.com/pages/publications/105027441069?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105027441069?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 Mathur S., Christ University, Bengaluru, India; Vishnoi S.K., Department of Marketing, Institute of Management Studies Ghaziabad, Ghaziabad, India; Tripathi A.P., Christ University, Bengaluru, India; Panjwani N., Christ University, Bengaluru, India Description An account of the resource Purpose This study aims to integrate Artificial Intelligence Device Use Acceptance, diffusion of innovation and flow theory to explore the impact of innovation dimensions (primary appraisal) on user flow experience (UFEx) (secondary appraisal) and users willingness to accept Meta artificial intelligence (AI) features (Outcome). The moderating role of Meta AI literacy in the relationships among primary appraisal, secondary appraisal and the outcome were also examined. Design/methodology/approach This study used covariance-based structured equation modelling to analyse the data collected from 383 respondents who use Meta AI features for beauty and cosmetic products on social media. Findings The findings of the study indicates that compatibility and observability positively influence users flow experience, which subsequently impacts users willingness to accept Meta AI features on social media. Furthermore, Meta AI literacy positively moderates the relationship between relative advantage, compatibility, trialability, observability and users flow experience. Originality/value This study introduces a unique framework grounded on Meta AI features in social media, particularly in beauty and cosmetics, contributing to the literature on Meta AI, UFEx and willingness to accept. This research makes a novel attempt to explore how Meta AI literacy shapes the links among primary appraisal, secondary appraisal and outcomes. 2025 Emerald Publishing Limited Subject The topic of the resource Beauty and cosmetic industry; Diffusion of Innovation; Meta AI; Meta AI Literacy; social media; Users Flow experience; Willingness to accept Publisher An entity responsible for making the resource available Emerald Publishing Relation A related resource ISSN: 13287265; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Meta-analysis of EMF-induced pollution by COVID-19 in virtual teaching and learning with an artificial intelligence perspective Subject The topic of the resource AI; COVID-19; EMF radiation; Internet and online-education; Machine learning; Mobile phones; Mobile towers Description An account of the resource Concerns about the health effects of frequent exposure to electromagnetic fields (EMF) emitted from mobile towers and handsets have been raised because of the gradual increase in usage of cell phones and frequent setting up of mobile towers. The present study is targeted to detrimental effects of EMF radiation on various biological systems mainly due to online teaching and learning processes by suppressing the immune system. During the COVID-19 pandemic, the increased usage of internet due to online education and online office leads to more detrimental effects of EMF radiation. Further inculcation of soft computing techniques in EMF radiation has been presented. A literature review focusing on the usage of soft computing techniques in the domain of EMF radiation has been presented in the article. An online survey has been conducted targeting Indian academic stakeholders (specially teachers, students, and parents termed as population in the paper) for analyzing the awareness towards the biohazards of EMF exposure. 2022 IGI Global. All rights reserved. Creator An entity primarily responsible for making the resource Das S.; Srivastava S.; Tripathi A.; Das S. Source A related resource from which the described resource is derived International Journal of Web-Based Learning and Teaching Technologies, Vol-17, No. 4 Publisher An entity responsible for making the resource available IGI Global 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/10.4018/IJWLTT.285566" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/IJWLTT.285566</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113797168&doi=10.4018%2FIJWLTT.285566&partnerID=40&md5=f60fd49ccac5c5552b613dd65819cc2c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113797168&doi=10.4018%2fIJWLTT.285566&partnerID=40&md5=f60fd49ccac5c5552b613dd65819cc2c</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 15481093 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 Das S., Pharmacy Institute, Noida Institute of Engineering and Technology, India; Srivastava S., Christ University, Delhi, India; Tripathi A., Vellore Institute of Technology, Bhopal, India; Das S., Pharmacy Institute, Noida Institute of Engineering and Technology, 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 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 Sujana, D. Swainson; Kureethara, Joseph Varghese; Augustine, D. Peter; Augustine, Leema Title A name given to the resource Meta-Teaching on Leveraging the Metaverse for Definitive Efficiency in Learning in Higher Education 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 Transformations and Changing Perspectives in Higher Education: India's Last Decade;pp.207-226 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4324/9781003545828-26" target="_blank" rel="noreferrer noopener">https://doi.org/10.4324/9781003545828-26</a> <a href="https://www.scopus.com/pages/publications/105003530546?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105003530546?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 Sujana D.S., Computer Science Department, Christ University, Bangalore, India; Kureethara J.V., Department of Mathematics, Christ University, Bangalore, India; Augustine D.P., Department of Computer Science, Christ University, Bangalore, India; Augustine L., Christ University, India Description An account of the resource One of the most intriguing results of the technology revolution over the past ten years has been virtual reality (VR). This experience is set to be enhanced by the metaverse, the next major technological revolution of our time. The metaverse delivers a fully immersive 3D digital experience that blends virtual and real worlds. The idea is interpreted as the future of the internet, it will allow users to interact with one another in a 3D virtual environment, through gaming or collaborating on projects. In the education sector, metaverse will play a vital role in overcoming learning limitations. Activities that occur in remote locations in the real world can now take place virtually. With VR, students are fully immersed in a simulated environment, free from distractions which enhances the student's ability to learn. Scientific studies show that VR improves spatial memory and cognition. Visual learning can boost student's understanding of more complicated subjects, concepts and languages by allowing them to learn from a first-person perspective and observe everything happening around them. 2025 selection and editorial matter, Kennedy Andrew Thomas, Joseph Chacko Chennattuserry and Joseph Varghese Kureethara; individual chapters, the contributors. Publisher An entity responsible for making the resource available Taylor and Francis Relation A related resource ISBN: 978-104032085-3; 978-100354582-8; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Priyadarshini, Pragyan; Sarojini, Suma Title A name given to the resource Metabolite profiling and bioactivity assessment of diverse endophytic fungi from the endangered plant, Nilgirianthus ciliatus 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 Plant Science Today;Volume;12;Issue;2; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.14719/pst.5333" target="_blank" rel="noreferrer noopener">https://doi.org/10.14719/pst.5333</a> <a href="https://www.scopus.com/pages/publications/105001959992?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105001959992?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 Priyadarshini P., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, 560 029, India; Sarojini S., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, 560 029, India Description An account of the resource Endophytic fungi are potential sources of bioactive compounds with therapeutic properties. This study investigated the fungal endophytes associated with Nilgirianthus ciliatus, an endangered medicinal plant, to discover its secondary metabolites and bioactivities. Molecular analysis revealed the prominent species to be Aspergillus niger, Didymella sp., Trichoderma viride, Bipolaris zeicola and Nigrospora sphaerica. Alkaloids, flavonoids, phenolics, terpenes and saponins were detected in ethyl acetate extracts employing phytochemical screening. Didymella sp. has showed the highest level of antioxidant activity, demonstrating strong DPPH radical scavenging and reduction capability. T. viride had strong antibacterial action against Klebsiella pneumoniae and Escherichia coli, meanwhile Didymella sp. and N. sphaerica were most effective against E. coli. GC-MS analysis uncovered many bioactive chemicals, including trans-farnesol and pentadecanoic acid, which are renowned for their antibacterial and antioxidant properties. These findings highlight the presence of the rich variety of diverse endophytic fungi harboring such medicinal plants, which offer promising applications in medicine, biotechnology and agriculture as sources of novel bioactive compounds. Further exploration and characterization of these strains could unlock valuable sustainable resources for various industries. The Author(s). Subject The topic of the resource antibacterial; antioxidant; didymellanosine; endophytic fungi; Nilgirianthus ciliatus Publisher An entity responsible for making the resource available Horizon e-Publishing Group Relation A related resource ISSN: 23481900; 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 Moozhippurath, Bineesh; Natarajan, Jayapandian Title A name given to the resource Metabolomics Pathway Prediction Using Enhanced-Graph Convolutional Networks with Graph Attention 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 Online and Biomedical Engineering;Volume;21;Issue;10;pp.48-62 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.3991/ijoe.v21i10.55539" target="_blank" rel="noreferrer noopener">https://doi.org/10.3991/ijoe.v21i10.55539</a> <a href="https://www.scopus.com/pages/publications/105014654585?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105014654585?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 Moozhippurath B., Department of Computer Science and Engineering, Christ University, Karnataka, Bangalore, India; Natarajan J., Department of Computer Science and Engineering, Christ University, Karnataka, Bangalore, India Description An account of the resource Metabolomics, the comprehensive study of small molecules in biological systems, has a central role to play in the diagnosis of diseases, biomarker detection, and the design of new drugs. Although there have been major breakthroughs in analytical toolsets such as mass spectrometry (MS) coupled with chromatography, it is hard to predict metabolomics pathways because biochemical interactions are inherently complex. To meet this end, the current research suggests a deep learning-based approach using graph neural networks (GNN), which have shown high efficiency for graph-structured biological data. We specifically propose an enhanced graph convolutional network integrated with graph attention networks (EGCNGAT) to enhance pathway prediction performance. The hybrid framework employs graph convolutional networks (GCN) to represent molecular structural data and graph attention networks (GAT) to provide context-sensitive feature importance, thus improving the models capacity for learning complex pathway patterns. Comparative experiments against current deep learning approaches show that the introduced EGCN-GAT model obtains an accuracy of 98.90 percent, which is a 0.26 percent increase compared to the baseline MLGL-MP model. In addition, it demonstrates a 0.94 percent gain in precision as well as a slight gain in recall. The findings validate the performance of the proposed method and highlight its utility for developing pathway-level predictions in metabolomics studies. 2025 by the authors of this article. Published under CC-BY. Subject The topic of the resource bioinformatics; deep learning; graph convolutional network (GCN); graph neural network (GNN); metabolomics; prediction Publisher An entity responsible for making the resource available International Federation of Engineering Education Societies (IFEES) Relation A related resource ISSN: 26268493; 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 Metaheuristic Machine Learning Algorithms for Liver Disease Prediction Subject The topic of the resource Artificial Bee Colony (ABC) Algorithm; Decision Tree; Machine Learning; Random Forest Description An account of the resource In machine learning, optimizing solutions is critical for improving performance. This study explores the use of metaheuristic algorithms to enhance key processes such as hyperparameter tuning, feature selection, and model optimization. Specifically, we integrate the Artificial Bee Colony (ABC) algorithm with Random Forest and Decision Tree models to improve the accuracy and efficiency of disease prediction. Machine learning has the potential to uncover complex patterns in medical data, offering transformative capabilities in disease diagnosis. However, selecting the optimal algorithm for model optimization presents a significant challenge. In this work, we employ Random Forest, Decision Tree models, and the ABC algorithmbased on the foraging behaviours of honeybeesto predict liver disease using a dataset from Indian medical records. Our experiments demonstrate that the Random Forest model achieves an accuracy of 85.12%, the Decision Tree model 76.89%, and the ABC algorithm 80.45%. These findings underscore the promise of metaheuristic approaches in machine learning, with the ABC algorithm proving to be a valuable tool in improving predictive accuracy. In conclusion, the integration of machine learning models with metaheuristic techniques, such as the ABC algorithm, represents a significant advancement in disease prediction, driving progress in data-driven healthcare. 2024, Iquz Galaxy Publisher. All rights reserved. Creator An entity primarily responsible for making the resource Gupta D.; Rani B.K.; Verma I.; Ahamed S.K.; Arul Mary Rexy V.; Rajkumar N.; Vidhya R.G. Source A related resource from which the described resource is derived International Research Journal of Multidisciplinary Scope, Vol-5, No. 4, pp. 651-660. Publisher An entity responsible for making the resource available Iquz Galaxy Publisher Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.47857/irjms.2024.v05i04.01204" target="_blank" rel="noreferrer noopener">https://doi.org/10.47857/irjms.2024.v05i04.01204</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210428409&doi=10.47857%2Firjms.2024.v05i04.01204&partnerID=40&md5=53670bbcbb66dabffd66c89963fed8fd" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210428409&doi=10.47857%2firjms.2024.v05i04.01204&partnerID=40&md5=53670bbcbb66dabffd66c89963fed8fd</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 2582631X Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Gupta D., Department of CSE, Manipal Institute of Technology Bengaluru, Bengaluru, India; Rani B.K., Department of Information Technology, Vasavi College of Engineering, Hyderabad, India; Verma I., School of Sciences, Christ (deemed to be) University, Delhi-NCR, Ghaziabad, India; Ahamed S.K., Department of CSE, Methodist College of Engineering and Technology, Hyderabad, India; Arul Mary Rexy V., Department of Commerce General, Saveetha College of Liberal Arts and Sciences, Chennai, India; Rajkumar N., Department of CSE, Vel Tech Rangarajan Dr. Sagunthala R and D Institute of Science and Technology, Avadi, Tamil Nadu, India; Vidhya R.G., Department of ECE, HKBK College of 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 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 Antony, Anil; Ganesh Kumar, R. Title A name given to the resource Metaheuristic Optimization of Deep Learning Models for Land Cover Classification Using Remote Sensing Data Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems;Volume;1826 LNNS;pp.25-34 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-032-18135-0_3" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-032-18135-0_3</a> <a href="https://www.scopus.com/pages/publications/105038861732?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105038861732?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 Antony A., CHRIST (Deemed to be University), School of Engineering and Technology Kengeri Campus, Bangalore, India, Department of Computer Science and Engineering, Sahrdaya College of Engineering and Technology, Kerala, Thrissur, India; Ganesh Kumar R., CHRIST (Deemed to be University), School of Engineering and Technology Kengeri Campus, Bangalore, India Description An account of the resource Deep learning techniques have greatly advanced land-cover classification from remote sensing imagery, but their performance depends critically on choosing optimal hyperparameters. Manually tuning hyperparameters (e.g., learning rate, network depth, dropout rate) is time-consuming and often suboptimal. Metaheuristic algorithms offer an automated approach to this problem. In this work, we compare five metaheuristic optimizersParticle Swarm Optimization (PSO), Genetic Algorithm (GA), Differential Evolution (DE), African Vulture Optimization Algorithm (AVOA), and an Enhanced Dipper Throat Optimization Algorithm (EDTOA)for hyperparameter tuning of convolutional neural networks (CNNs), a ResNet-50, and a U-Net. We evaluate these methods on two benchmark land-cover datasets: EuroSAT (patch-level multispectral image classification) and DeepGlobe (pixel-wise satellite image segmentation). Our data preprocessing includes normalization, data augmentation, and computing spectral indices (e.g., NDVI) to enrich the feature set. Each metaheuristic searches the hyperparameter space to maximize validation accuracy (for EuroSAT) or mean Intersection-over Union (mIoU) (for DeepGlobe). In addition to predictive performance, we analyze the computational cost (wall-clock time, epochs to convergence, GPU usage) of each optimizer to assess the trade-off between efficiency and accuracy. AVOA and EDTOA achieve the best results on both datasets (e.g., up to 98.5% accuracy on EuroSAT and 56% mIoU on DeepGlobe), outperforming the PSO, GA, and DE baselines while offering favorable cost-performance balance. These findings demonstrate that advanced metaheuristics can significantly improve deep model performance in land-cover classification. Our contributions include a comprehensive experimental comparison of five optimizers, a detailed methodology integrating spectral index features, a cost performance analysis, and reference results to guide future research. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. Subject The topic of the resource CNN; deep learning; hyperparameter tuning; land cover classification; Metaheuristic optimization; remote sensing; ResNet,; U-Net Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 23673370; ISBN: 978-303218134-3; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 Metaheuristicsbased Task Offloading Framework in Fog Computing for Latency-sensitive Internet of Things Applications Subject The topic of the resource Cloud computing; Fog computing; Internet of things; Latency-sensitive IoT; Quality of service; Task offloading Description An account of the resource The Internet of Things (IoT) applications have tremendously increased its popularity within a short span of time due to the wide range of services it offers. In the present scenario, IoT applications rely on cloud computing platforms for data storage and task offloading. Since the IoT applications are latency-sensitive, depending on a remote cloud datacenter further increases the delay and response time. Most of the IoT applications shift from cloud to fog computing for improved performance and to lower the latency. Fog enhances the Quality of service (QoS) of the connected applications by providing low latency. Different task offloading schemes in fog computing are proposed in literature to enhance the performance of IoT-fog-cloud integration. The proposed methodology focuses on constructing a metaheuristic based task offloading framework in the three-tiered IoT-fog-cloud network to enable efficient execution of latency-sensitive IoT applications. The proposed work utilizes two effective optimization algorithms such as Flamingo search algorithm (FSA) and Honey badger algorithm (HBA). Initially, the FSA algorithm is executed in an iterative manner where the objective function is optimized in every iteration. The best solutions are taken in this algorithm and fine tuning is performed using the HBA algorithm to refine the solution. The output obtained from the HBA algorithm is termed as the optimized outcome of the proposed framework. Finally, evaluations are carried out separately based on different scenarios to prove the performance efficacy of the proposed framework. The proposed framework obtains the task offloading time of 71s and also obtains less degree of imbalance and lesser latency when compared over existing techniques. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Thomas P.; Jose D.V. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-689 LNNS, pp. 221-239. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-99-2322-9_17" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-99-2322-9_17</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85169069417&doi=10.1007%2F978-981-99-2322-9_17&partnerID=40&md5=0a0592421d420614d00df1dc6f0dee77" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85169069417&doi=10.1007%2f978-981-99-2322-9_17&partnerID=40&md5=0a0592421d420614d00df1dc6f0dee77</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981992321-2 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 Thomas P., CHRIST (Deemed to Be University), Karnataka, Bangalore, India; Jose D.V., 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 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 Metal and Ligand-Free Approach Towards the Efficient One-Pot Synthesis of Dipyridopyrimidinimine Derivatives Subject The topic of the resource base catalyzed; double C?N bond formation; intermolecular annulation; metal free; stable imine; tandem reactions Description An account of the resource We report a facile, expeditious, user-friendly, and convenient metal-free synthesis employing base catalysis in a one-pot procedure to construct 11H-dipyrido[1,2-a : 3?,2?-d]pyrimidin-11-imine derivatives. This protocol involves a domino process leading to the formation of double C?N bonds utilising KOtBu as the base and DMAc as the superior solvent at 25 C for 2 h. The versatility of this methodology was demonstrated by its successful application to substrates with both electron-withdrawing and electron-donating functional groups, yielding novel functionalized stable 11H-dipyrido[1,2-a : 3?,2?-d]pyrimidin-11-imine derivatives in good to excellent yields. Additionally, we have discussed a plausible reaction pathway for the synthesis. 2024 Wiley-VCH GmbH. Creator An entity primarily responsible for making the resource Kommuri V.C.; Vijayan A. Source A related resource from which the described resource is derived ChemistrySelect, Vol-9, No. 19 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/slct.202401205" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/slct.202401205</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193216440&doi=10.1002%2Fslct.202401205&partnerID=40&md5=6d11290614166f29fd10ae196045720b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193216440&doi=10.1002%2fslct.202401205&partnerID=40&md5=6d11290614166f29fd10ae196045720b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23656549 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), Hosur Road, Bangalore, 560029, India; Vijayan A., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Bangalore, 560029, 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 Book Faculty Publications- Book Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Jose, Seiko; Thomas, Sabu; Kadumudi, Firoz Babu Title A name given to the resource Metal and Metal Oxide Nanoparticles in Textile Applications Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Metal and Metal Oxide Nanoparticles in Textile Applications;pp.1-537 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/C2023-0-51099-7" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/C2023-0-51099-7</a> <a href="https://www.scopus.com/pages/publications/105032943601?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105032943601?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 Jose S., Textile Manufacture and Textile Chemistry Division, ICAR- Central Sheep and Wool Research Institute, Rajasthan, Avikanagar, India; Thomas S., Mahatma Gandhi University, Kerala, Kottayam, India, Department of Physics and Electronics, CHRIST (Deemed to Be University), Karnataka, Bengaluru, India, Department of Chemical Sciences, University of Johannesburg, Johannesburg, South Africa, TrEST Research Park, College of Engineering, GEM Building, Kerala, Trivandrum, India, Center of Excellence in Polymeric Materials for Medical Practice Devices, Department of Chemical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand; Kadumudi F.B., Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark Description An account of the resource In today's consumer-driven market, textiles are valued not only for their aesthetic appeal but also for their functional protection properties. The use of nanoparticles for specialty finishing has emerged as a promising area in textile processing and engineering. Among these nanoparticles, inorganic metal and metal oxides are particularly significant due to their large surface area and high surface energy, allowing them to impart multifunctional properties to textiles. Metal and Metal Oxide Nanoparticles in Textile Applications serves as a comprehensive guide, offering authors a profound understanding of the application of various metal and metal oxide nanoparticles on textiles. The content is thoughtfully organized, beginning with the first five chapters providing insights into the introduction of metal nanoparticles, their conventional and advanced synthesis methods, and characterization techniques. Subsequently, the following eight chapters delve into the effects of different metal nanoparticles, such as Ag, Au, Cu, Al, Ti, and others, along with their oxides, on textiles. The final section of the book encompasses chapters covering metal nanocomposites, electrospinning techniques, toxicology considerations, branding applications, and the challenges and future prospects of metal nanoparticles on textiles. This title serves as an invaluable asset to academicians, scholars, researchers, and professionals in the industry. 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. Publisher An entity responsible for making the resource available Elsevier Relation A related resource ISBN: 978-044329985-8; 978-044329986-5; Language A language of the resource English Type The nature or genre of the resource Book Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Metal organic frameworks in biomedicine: Innovations in drug delivery Subject The topic of the resource Biomedicine; Drug delivery; Dual stimuli response; Metal organic frameworks; Therapeutic agents Description An account of the resource Metal-organic frameworks (MOFs) have emerged as a class of versatile materials, finding extensive applications in drug delivery because of their unique properties and flexible design. This comprehensive review aims to give a broad perspective on the recent advancements in the area of drug delivery applications using MOFs. The fundamental characteristics of MOFs, highlighting their exceptional porosity, high surface area, and tuneable framework structures, enable MOFs to serve as ideal drug carriers, allowing efficient drug loading and controlled release. The review delves into the various ligands and metal ions employed for drug encapsulation. These include physical encapsulation, covalent bonding, and host-guest interactions, each offering distinct advantages for diverse types of drugs and therapeutic applications. The importance of tailoring MOF properties to optimize drug loading capacity, stability, and release kinetics has been emphasized. Additionally, the explorations involve delving into the mechanisms of drug release from MOFs, with factors such as pH, temperature, and external stimuli that can be harnessed to trigger controlled drug release. The utilization of MOFs in combination therapies, such as co-delivery of multiple drugs or integrating imaging agents, has also been examined. Numerous examples of MOFs used for drug delivery, encompassing both in-vitro and in-vivo studies, covering a wide range of therapeutic areas, including cancer treatment, antimicrobial therapy, and targeted drug delivery, are included. Additionally, the review addresses the challenges and future perspectives in the development of MOFs for drug delivery. Strategies to improve MOF stability, biocompatibility, and scalability are discussed, along with the understanding of MOF-drug interaction and potential toxicity concerns. With their tuneable properties, high loading capacities, and controlled release capabilities, MOFs hold exceptional capabilities that promise to enhance the efficacy of therapeutic interventions. Continued research and development in this area can pave way for the translation of MOFs into clinical applications in the near future. 2024 The Author(s) Creator An entity primarily responsible for making the resource Benny A.; Kalathiparambil Rajendra Pai S.D.; Pinheiro D.; Chundattu S.J. Source A related resource from which the described resource is derived Results in Chemistry, Vol-7 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.rechem.2024.101414" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.rechem.2024.101414</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187496022&doi=10.1016%2Fj.rechem.2024.101414&partnerID=40&md5=9629f3886882587adf3379be239c7ad3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187496022&doi=10.1016%2fj.rechem.2024.101414&partnerID=40&md5=9629f3886882587adf3379be239c7ad3</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 22117156 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 Benny A., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Kalathiparambil Rajendra Pai S.D., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Pinheiro D., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Chundattu S.J., Department of Sciences and Humanities, School of Engineering and Technology, CHRIST (Deemed to be University), Kumbalagodu, Mysore Road, 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 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 Metal Organic Frameworks to Remove Arsenic Adsorption from Wastewater Subject The topic of the resource Adsorption; Arsenic pollutants; Environmental chemistry; Heavy Metals; Metal organic frameworks; Wastewater; Water contamination Description An account of the resource Water is an integral part of life on earth. Rapid industrialization, urbanization, and population explosion have all contributed to the pollution of ground and surface water with, among other things, heavy metals. This has led to an acute shortage of clean drinking water. Arsenic is one of the most toxic heavy metals found in water, posing a serious threat to the environment, human beings, and aquatic life. Over the years, a considerable amount of research has been directed toward the elimination of arsenic from water via sustainable methodologies. Metal organic frameworks are a class of materials possessing exceptional features like chemical stability, high porosity, multiple functional groups, and large surface areas. These properties can be effectively channelized to make metal organic frameworks excellent adsorbents for the removal of arsenic from contaminated water and make it drinkable. We have reviewed herein, the problems of heavy metal contamination, specifically the different forms of arsenic that pollute water. The importance of metal organic frameworks and the progress made in the synthesis of materials having a metal oxide framework have been discussed. Significant properties like adsorption and mechanistic aspects of adsorption through metal organic frameworks have been described. Furthermore, the characterization of the electronic and geometric aspects of metal organic frameworks using density functional theory has been reviewed. Insight into proper scaling up and development of metal organic frameworks for practical applications have also been suggested. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Rajasekaran S.; Devi K.R.S.; Pinheiro D.; Mohan M.K.; Iyyappa Rajan P. Source A related resource from which the described resource is derived Environmental Footprints and Eco-Design of Products and Processes, pp. 1-35. Publisher An entity responsible for making the resource available Springer Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-16-5928-7_1" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-5928-7_1</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120877326&doi=10.1007%2F978-981-16-5928-7_1&partnerID=40&md5=9aaa61b3910420bef0b044f84d0f3105" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120877326&doi=10.1007%2f978-981-16-5928-7_1&partnerID=40&md5=9aaa61b3910420bef0b044f84d0f3105</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23457651 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 Rajasekaran S., Department of Chemistry, CHRIST (deemed to be University), Bangalore, Karnataka, 560029, India; Devi K.R.S., Department of Chemistry, CHRIST (deemed to be University), Bangalore, Karnataka, 560029, India; Pinheiro D., Department of Science and Humanities School of Engineering and Technology, CHRIST (deemed to be University)) Kengeri Campus, Bangalore, Karnataka, 560074, India; Mohan M.K., Department of Science and Humanities School of Engineering and Technology, CHRIST (deemed to be University)) Kengeri Campus, Bangalore, Karnataka, 560074, India; Iyyappa Rajan P., Asia Pacific Center for Theoretical Physics, POSTECH Campus, Pohang, 37673, South Korea 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 Metal-Based Nanoparticles for Infectious Diseases and Therapeutics Subject The topic of the resource Antimicrobial activity; Capping agents; Doping; Infectious diseases; Metal-based nanoparticles; Nanomaterials; Peptidoglycan layer; Reactive oxygen species Description An account of the resource Infectious diseases that are easily transmitted by microorganisms like bacteria, protozoa, fungus, etc. are a menace to humans. The greatest threat to human race is to mitigate the impact of these diseases. People with less immunity and children are prone to these diseases. Even healthy people get infected due to its easy transmission. Microorganisms causing these diseases are becoming more resistant to the drugs that are available in the market. So, there is a need to find new therapeutic which is facile, sensitive, and selective, is an important challenge for the medical field and this is where nanotechnology is having a greater chance. Nanoparticles especially metal-based nanoparticles have the ability to act against infectious and non-infectious diseases, this is because of their unique properties like small size, high surface area, etc. They do not have a specific binding site on the bacterial cell, which lead to the failure of bacterial resistant towards the nanoparticle mechanism. There are many nanoparticles which are efficient against particular diseases. In this review we are discussing about the advanced nanomaterials as therapeutics for infectious diseases. We have also discussed about antiviral activities which gives us a ray of hope for the solution of the SARS-COV-2. The Editor(s) (if applicable) and The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2022. Creator An entity primarily responsible for making the resource Baby E.K.; Reji C.; Nidhin M. Source A related resource from which the described resource is derived Nanotechnology for Infectious Diseases, pp. 103-124. Publisher An entity responsible for making the resource available Springer Nature 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/10.1007/978-981-16-9190-4_5" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-9190-4_5</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140850791&doi=10.1007%2F978-981-16-9190-4_5&partnerID=40&md5=c9b33342b6b055de921033610563d353" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140850791&doi=10.1007%2f978-981-16-9190-4_5&partnerID=40&md5=c9b33342b6b055de921033610563d353</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-981169190-4; 978-981169189-8 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 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 Baby E.K., Department of Chemistry, Institute of Chemical Technology, Mumbai, India; Reji C., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, India; Nidhin M., Department of Chemistry, 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 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 Metallic silver and copper oxide nanoparticles: Uses in food preservation and impacts on the environment Subject The topic of the resource Active packaging; Biocompatibility; Biogenic synthesis; Edible coating; Edible nanomaterials; Food industry; Regulatory policies; Toxicity Description An account of the resource This review examines the applications of metallic silver and copper oxide nanoparticles in food preservation, emphasizing their potential to revolutionize food packaging and reduce environmental pollution through enhanced waste management strategies. Synthesis of these nanoparticles via green methods including bacteria-, fungi-, and plant-mediated approaches have been discussed. The antimicrobial properties and toxicity of silver and copper oxide nanoparticles have been evaluated highlighting their efficiency in inhibiting microbial growth and extending the shelf life of food products. Regulatory policies governing the use of these nanoparticles in food packaging have been analyzed along with the exploration of active packaging technologies that leverage their unique properties. By integrating advances in nanotechnology with better food formulations, this review underscores the transformative impact of silver and copper oxide nanoparticles on food safety and environmental sustainability, offering insights into the future directions for research and newer applications. 2024 Creator An entity primarily responsible for making the resource Darshan T.G.; Monicashree K.V.; Bhat B.; Bathinapatla A.; Kanchi S. Source A related resource from which the described resource is derived Comprehensive Analytical Chemistry, Vol-107, pp. 183-230. 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/bs.coac.2024.08.015" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/bs.coac.2024.08.015</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204477953&doi=10.1016%2Fbs.coac.2024.08.015&partnerID=40&md5=8d0d548bf25efd8fa37714b942e4d0b2" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204477953&doi=10.1016%2fbs.coac.2024.08.015&partnerID=40&md5=8d0d548bf25efd8fa37714b942e4d0b2</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 0166526X; ISBN: 978-044331360-8 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 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 Darshan T.G., Department of Chemistry, CHRIST University, Bengaluru, India; Monicashree K.V., Department of Chemistry, CHRIST University, Bengaluru, India; Bhat B., Department of Chemistry, CHRIST University, Bengaluru, India; Bathinapatla A., Department of Chemistry, CMR Institute of Technology, Bengaluru, India, Centre of Excellence Materials & Sensors, CMR Institute of Technology, Bengaluru, India; Kanchi S., Department of Chemistry, CHRIST 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 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 Metalsemiconductormetal visible photodetector based on Al-doped (Cd:Zn)S nano thin films by hydrothermal synthesis Subject The topic of the resource ACZS; Detectivity; Hydrothermal method; Photodetectors; Responsivity; Sensitivity Description An account of the resource High quality undoped and Al-doped nanocrystalline (Cd:Zn)S films [CZS and ACZS] were deposited on glass substrates by hydrothermal assisted chemical bath deposition. The Al concentration was varied from 0.5 mol.% to 2 mol.% in steps of 0.5 mol.% replacing cadmium while keeping other deposition parameters constant. XRD, SEM, and EDX were used to observe crystallinity, morphology and composition of the as prepared samples. X-ray diffraction revealed the hexagonal phase of CZS films with prominent orientation along the (002) plane. XPS analysis was used to confirm the doping concentration of Al in to CZS lattice. Repeatable photoresponse was recorded under 100 s cycle light-on and light-off conditions. 1 mol.% Al doped film being optimised as good photoconductor; a photodetector was fabricated with Ag/ACZS/Ag device structure. The ACZS photodetector exhibits similar time response, good photocurrent reproducibility and a sharp photoresponse at blue radiation with high photo-dark current ratio of 95. The device exhibits peak responsivity of 3.48 mA W?1 and detectivity of 1.26 1011 Jones at 470 nm. These properties suggest that the ACZS photodetector holds great potential for application in high-performance visible photodetectors, especially in the blue region. 2021 Elsevier GmbH Creator An entity primarily responsible for making the resource Mathew J.; Devasia S.; Shaji S.; Anila E.I. Source A related resource from which the described resource is derived Optik, Vol-241 Publisher An entity responsible for making the resource available Elsevier GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.ijleo.2021.166878" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.ijleo.2021.166878</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107145511&doi=10.1016%2Fj.ijleo.2021.166878&partnerID=40&md5=c8f7c1b3b875c4f63b1fc6fbe559db86" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107145511&doi=10.1016%2fj.ijleo.2021.166878&partnerID=40&md5=c8f7c1b3b875c4f63b1fc6fbe559db86</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 304026 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 Mathew J., St. Xavier's College for Women, Aluva, 683101, Kerala, India, Optoelectronics and Nanomaterial's Research Lab, Department of Physics, Union Christian College, Aluva, Ernakulam, 683102, Kerala, India; Devasia S., Optoelectronics and Nanomaterial's Research Lab, Department of Physics, Union Christian College, Aluva, Ernakulam, 683102, Kerala, India, Facultad de Ingenier Mecica y Eltrica, Universidad Automa de Nuevo Le, San Nicol de los Garza, Nuevo Le, Mexico; Shaji S., Facultad de Ingenier Mecica y Eltrica, Universidad Automa de Nuevo Le, San Nicol de los Garza, Nuevo Le, Mexico; Anila E.I., Optoelectronics and Nanomaterial's Research Lab, Department of Physics, Union Christian College, Aluva, Ernakulam, 683102, Kerala, India, Department of Physics and Electronics, CHRIST (Deemed to be University), Bangaluru, 560029, 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 Negi, Deepa; Bansal, Aarti; Kumar, Naveen Title A name given to the resource Metamaterial Integrated Patch Antenna Design with Enhanced Gain for WLAN and WIMAX 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 5th IEEE International Conference on Mobile Networks and Wireless Communications, ICMNWC 2025; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICMNWC66779.2025.11354272" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICMNWC66779.2025.11354272</a> <a href="https://www.scopus.com/pages/publications/105033615220?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105033615220?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 Negi D., Lovely Professional University, School of Electronics and Electrical Engineering, Jalandhar, India; Bansal A., Thapar Institute of Engineering and Technology, Department of Electronics and Communication Engineering, Patiala, India; Kumar N., Christ University, Department of Electronics and Communication Engineering, Bengaluru, India Description An account of the resource In this paper a dual-band high gain metamaterial antenna is designed using RT Duroid 5880 with overall size of 50 60 mm2 and thickness of 1.64 mm. A rectangular patch antenna with two slots is designed to operate at 3.5 and 5.8GHz for Worldwide Interoperability for Microwave Access (WiMAX) and Wireless local area network (WLAN) applications. Further, to enhance the gain characteristics of patch antenna, a reflective metasurface (RMS) is designed on FR-4 substrate, which is placed as a superstrate above the antenna. The metasurface used as superstrate is placed at the air gap of 15 mm to achieve optimum gain and bandwidth. It is observed that the proposed metamaterial integrated antenna shows enhanced gain of 6.5 and 7.73 dBi at both the resonant frequencies. The designed antenna is a good candidate for various WLAN and WiMAX applications. 2025 IEEE. Subject The topic of the resource metamaterial; metasurface; microstrip patch antenna; WIMAX; WLAN Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833155664-8; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Mohanty, Priyakrushna; Chellasamy, Aarthy; Nagarathinam, Aishwarya Title A name given to the resource MetaMinds and digital realms: Deciphering Gen Z consumer behavior in metaverse marketing 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 The AI Metaverse Revolution: Transforming Multi-Business Scenarios (Volume 1);pp.1-14 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1108/978-1-83662-582-720251001" target="_blank" rel="noreferrer noopener">https://doi.org/10.1108/978-1-83662-582-720251001</a> <a href="https://www.scopus.com/pages/publications/105009871547?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105009871547?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 Mohanty P., Department of Business and Management, Christ (Deemed to be University), Bengaluru, India; Chellasamy A., Department of Business and Management, Christ (Deemed to be University), Bengaluru, India; Nagarathinam A., Department of Business and Management, Christ (Deemed to be University), Bengaluru, India Description An account of the resource This conceptual research paper explores the innovative convergence of virtual reality (VR), augmented reality (AR), and digital spaces as it dives into the complex dynamics of Gen Z consumer behavior within the metaverse. Businesses and scholars alike face hurdles in comprehending the complex preferences, motives, and decision-making processes of this generation of digital natives, as traditional marketing tactics undergo a metamorphosis in the aftermath of the metaverse. Understanding the nuances of Gen Z's interactions in this immersive digital world is crucial for businesses looking to connect and engage with this significant consumer generation as the metaverse becomes an increasingly important part of everyday life. Thus, this study also attempts to understand the awareness about metaverse among Gen Z and the challenges faced during the act of purchase in a meta environment. 2025 by Priyakrushna Mohanty, Aarthy Chellasamy and Aishwarya Nagarathinam. All rights reserved. Subject The topic of the resource Augmented reality; Consumer behavior; Gen Z; Metaverse; Metaverse marketing; Virtual reality Publisher An entity responsible for making the resource available Emerald Publishing Relation A related resource ISBN: 978-183662582-7; 978-183662583-4; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Faculty Publications- Book Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Sharma, Vandana; Raj, Pethuru; Balusamy, Balamurugan; Dhanaraj, Rajesh Kumar Title A name given to the resource Metaverse for Sustainable Development: Trends and 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 Metaverse for Sustainable Development: Trends and Applications;pp.1-385 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1002/9781394272228" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/9781394272228</a> <a href="https://www.scopus.com/pages/publications/105020119326?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105020119326?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., CHRIST University, India; Raj P., Reliance Jio Platforms, India; Balusamy B., Shiv Nadar University, India; Dhanaraj R.K., Symbiosis International University, India Description An account of the resource Unlock the future of technology and sustainable development by purchasing Metaverse for Sustainable Development: Trends and Applications, a comprehensive guide that delves into immersive application building, groundbreaking innovations, and the transformative potential of the metaverse across various industries. Metaverse for Sustainable Development: Trends and Applications explains the fine details of metaverse application building, demonstrating how integrated platforms in association with a suite of tools come in handy for enabling application construction. The metaverse is the next big thing influenced by virtual and augmented reality paradigms. This user experience will be more immersive and mesmerizing, empowering innovative, disruptive, and transformative technologies to create a spectacular platform for visualizing and realizing business-critical and people-centric metaverse systems. This book explores various metaverse models for healthcare information systems, including the latest technologies, such as the Brain-Computer Interface. Through real-world data and case studies, readers will gain a comprehensive understanding of the metaverses potential for the Internet of Things, blockchain, artificial intelligence, 5G, and 3D modelling for creating and sustaining immersive virtual worlds. Metaverse for Sustainable Development: Trends and Applications is a vital resource for understanding the end-to-end implementation of metaverse technologies. 2025 Scrivener Publishing LLC. Publisher An entity responsible for making the resource available wiley Relation A related resource ISBN: 978-139427222-8; 978-139427219-8; Language A language of the resource English Type The nature or genre of the resource Book Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Reviews Review Faculty Publications- Reviews Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Metaverse marketing: a review and future research agenda Subject The topic of the resource Marketing strategies; Metaverse; Privacy and ethics; Research agenda Description An account of the resource Purpose: The metaverse represents a rapidly evolving digital environment that blurs the lines between physical and virtual reality, and it offers unique opportunities and challenges for businesses and marketers. The purpose of this study is to provide a comprehensive review of metaverse marketing research. The present study reviews the literature on metaverse to identify theories, contexts, gaps and methodologies using TCCM framework (Theories, Contexts, Characteristics and Methodology) to set a future research agenda. Design/methodology/approach: A review was conducted of 179 English papers related to metaverse marketing from 2010 to 2023 from the Scopus and Web of Science core collection after applying relevant filters using the TCCM framework. Findings: The findings suggest that the studies have inadequately distinguished metaverse as something that only builds interactive experiences that combine the virtual environment and the real world, whereas the theoretical domain of metaverse is dominated by studies in various domains. The applicability of metaverse marketing research is pertinent in various domains of the management field. The study explores various facets of metaverse marketing to capture its dynamic nature. Research limitations/implications: By presenting a comprehensive review, themes and knowledge gaps of the research on metaverse marketing, this study will enhance research output and provide valuable tools for future research on metaverse. Practical implications: By analyzing metaverse in marketing, the companies will be able to use this concept effectively to formulate innovative marketing strategies and personalized consumer experiences and understand consumer behavior. Furthermore, research into metaverse marketing will be helpful in offering predictions about future trends in consumer behavior, technology adoption and virtual world development. Originality/value: This study provides a thorough analysis of the current state of research on metaverse in marketing and provides a road map for further research in this area. 2024, Emerald Publishing Limited. Creator An entity primarily responsible for making the resource Kumar R.; Aneja P.; Jadaun R.; Kiran P.B.N.; Saxena N.; Saxena S.; Singh P.K.; Painoli A.K. Source A related resource from which the described resource is derived Information Discovery and Delivery Publisher An entity responsible for making the resource available Emerald Publishing Date A point or period of time associated with an event in the lifecycle of the resource 2025-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1108/IDD-05-2024-0066" target="_blank" rel="noreferrer noopener">https://doi.org/10.1108/IDD-05-2024-0066</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215695068&doi=10.1108%2FIDD-05-2024-0066&partnerID=40&md5=0fafbda9355d291485b5be9894c0ab03" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215695068&doi=10.1108%2fIDD-05-2024-0066&partnerID=40&md5=0fafbda9355d291485b5be9894c0ab03</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23986247 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Review Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kumar R., School of Management, Doon University, Dehradun, India; Aneja P., School of Business, UPES, Dehradun, India; Jadaun R., Department of Management, Graphic Era Hill University, Dehradun, India; Kiran P.B.N., School of Business and Management, Christ University, Bengaluru, India; Saxena N., Department of Management, Neville Wadia Institute of Management Studies and Research, Pune, India; Saxena S., Department of Management, International School of Business and Media, Pune, India; Singh P.K., School of management, Doon University, Dehradun, India; Painoli A.K., Department of Management, Baddi University of Emerging Sciences and Technology, Baddi, India