230 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 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 Randomized Trials of Psychotherapeutic Treatment for Psychogenic Seizures: Scoping Review Subject The topic of the resource dissociative seizures; nonepileptic attack disorder; pseudoseizures; Psychogenic nonepileptic seizures; psychotherapy; RCTs Description An account of the resource Background: Psychotherapy improves seizure frequency and psychosocial aspects in psychogenic nonepileptic seizures (PNES). Although randomized controlled trials (RCTs) on different psychotherapies have been conducted for almost two decades now, no review has exclusively assessed RCTs of different psychotherapies. Methods: The objective was to review RCTs of psychotherapy for PNES, to understand the impact of different psychotherapies. Eligibility criteria included full-text articles, English articles, published between years 2000 and 2020, randomized trials of psychotherapy, and the adult population. Databases included PubMed, ProQuest, Google Scholar, ScienceDirect, EBSCO, PsycINFO, Cochrane, and a random google search was conducted. Rayyan software was used to include articles that met our eligibility criteria. The search was carried out independently by two researchers Results: Based on the eligibility criteria, seven studies were found. Amongst them, cognitive behavioral therapy (CBT) was the most researched and seemed more effective when paired with standard medical care (SMC) or sertraline. Comparisons of CBT and brief psychodynamic therapy did not reveal significant differences. Other psychotherapies included motivational interview+psychotherapy, which significantly reduced seizure frequency and improved psychosocial functioning. Paradoxical intention therapy also reduced PNES symptoms; however, it has not been researched in the last 15 years. Group psychoeducation seems to have an impact only on psychosocial functioning and not on seizure frequency. Conclusion: CBT paired with SMC or sertraline and MI along with psychotherapy yields the most effective results for PNES in reducing seizure frequency and improving psychosocial functioning. 2021 Indian Psychiatric Society - South Zonal Branch. Creator An entity primarily responsible for making the resource Haritsa S.V.; Reddy K.J.; Rafiq A.; Gupta M. Source A related resource from which the described resource is derived Indian Journal of Psychological Medicine, Vol-43, No. 6, pp. 469-472. Publisher An entity responsible for making the resource available SAGE Publications Ltd 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/10.1177/02537176211047392" target="_blank" rel="noreferrer noopener">https://doi.org/10.1177/02537176211047392</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118183364&doi=10.1177%2F02537176211047392&partnerID=40&md5=3d09c14d3970604478d55e5fc7ce4d63" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118183364&doi=10.1177%2f02537176211047392&partnerID=40&md5=3d09c14d3970604478d55e5fc7ce4d63</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 2537176 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 Haritsa S.V., Dept. of Psychology, CHRIST (Deemed to be University), Bangalore, Karnataka, India; Reddy K.J., Dept. of Psychology, CHRIST (Deemed to be University), Bangalore, Karnataka, India; Rafiq A., Dept. of Psychology, CHRIST (Deemed to be University), Bangalore, Karnataka, India; Gupta M., Amity Institute of Psychology and Allied Sciences, Amity University, Sector 125, Noida, Uttar Pradesh, 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 An Effective Strategy and Mathematical Model to Predict the Sustainable Evolution of the Impact of the Pandemic Lockdown Subject The topic of the resource COVID-19; epidemiology; mathematical model; ordinary differential equations; SEIHRD Description An account of the resource There have been considerable losses in terms of human and economic resources due to the current coronavirus pandemic. This work, which contributes to the prevention and control of COVID-19, proposes a novel modified epidemiological model that predicts the epidemics evolution over time in India. A mathematical model was proposed to analyze the spread of COVID-19 in India during the lockdowns implemented by the government of India during the first and second waves. What makes this study unique, however, is that it develops a conceptual model with time-dependent characteristics, which is peculiar to Indias diverse and homogeneous societies. The results demonstrate that governmental control policies and suitable public perception of risk in terms of social distancing and public health safety measures are required to control the spread of COVID-19 in India. The results also show that Indias two strict consecutive lockdowns (21 days and 19 days, respectively) successfully helped delay the spread of the disease, buying time to pump up healthcare capacities and management skills during the first wave of COVID-19 in India. In addition, the second waves severe lockdown put a lot of pressure on the sustainability of many Indian cities. Therefore, the data show that timely implementation of government control laws combined with a high risk perception among the Indian population will help to ensure sustainability. The proposed model is an effective strategy for constructing healthy cities and sustainable societies in India, which will help prevent such a crisis in the future. 2022 by the authors. Licensee MDPI, Basel, Switzerland. Creator An entity primarily responsible for making the resource Harjule P.; Poonia R.C.; Agrawal B.; Saudagar A.K.J.; Altameem A.; Alkhathami M.; Khan M.B.; Hasanat M.H.A.; Malik K.M. Source A related resource from which the described resource is derived Healthcare (Switzerland), Vol-10, No. 5 Publisher An entity responsible for making the resource available MDPI Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.3390/healthcare10050759" target="_blank" rel="noreferrer noopener">https://doi.org/10.3390/healthcare10050759</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129155096&doi=10.3390%2Fhealthcare10050759&partnerID=40&md5=810ac6d79a12a8bd8e9fc17f2eaaccb6" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129155096&doi=10.3390%2fhealthcare10050759&partnerID=40&md5=810ac6d79a12a8bd8e9fc17f2eaaccb6</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 22279032 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 Harjule P., Department of Mathematics, Malaviya National Institute of Technology (MNIT), Jaipur, 302017, India; Poonia R.C., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, 560029, India; Agrawal B., Department of Computer Science Engineering, Indian Institute of Information Technology Kota, MNIT Campus, Jaipur, 302017, India; Saudagar A.K.J., Information Systems Department, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11432, Saudi Arabia; Altameem A., Information Systems Department, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11432, Saudi Arabia; Alkhathami M., Information Systems Department, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11432, Saudi Arabia; Khan M.B., Information Systems Department, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11432, Saudi Arabia; Hasanat M.H.A., Information Systems Department, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11432, Saudi Arabia; Malik K.M., Department of Computer Science and Engineering, Oakland University, Rochester, 48309, MI, United States 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 Factors effecting employees willingness to stay in information technology industry / Subject The topic of the resource Management Description An account of the resource The International Journal of Nepalese Academy of Management, Volume 1, Issue 1, pp.284-303, 2091-2471 (Print), 2091-248X (Online) Creator An entity primarily responsible for making the resource Harold Andrew Patrick and Bhaskar Raghu Source A related resource from which the described resource is derived <a href="http://www.nam.org.np/userfiles/IJHRM%202014.pdf" target="_blank" title="Factors effecting employees willingness to stay in information technology industry" rel="noreferrer noopener">http://www.nam.org.np/userfiles/IJHRM%202014.pdf</a> Publisher An entity responsible for making the resource available Nepalese Academy of Management Date A point or period of time associated with an event in the lifecycle of the resource 2014-01-05 Language A language of the resource English Type The nature or genre of the resource Journal Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 Moderating influence of critical psychological states on work engagement and personal outcomes in the telecom sector / Subject The topic of the resource Management Description An account of the resource Sage Journals, Vol.4, Issue 2, pp.584-592. Creator An entity primarily responsible for making the resource Harold Andrew Patrick and Vinayak Anil Bhat Source A related resource from which the described resource is derived <a href="https://journals.sagepub.com/doi/full/10.1177/2158244014538260" target="_blank" title="Moderating influence of critical psychological states on work engagement and personal outcomes in the telecom sector" rel="noreferrer noopener">https://journals.sagepub.com/doi/full/10.1177/2158244014538260</a> Publisher An entity responsible for making the resource available Sage Publications Date A point or period of time associated with an event in the lifecycle of the resource 2014-01-06 Language A language of the resource English Type The nature or genre of the resource Journal Article https://archives.christuniversity.in/files/original/32a7053f39ddb762711bbbc6e9217ff1.png ac1ddab9aca3184309cd08627da52f50 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 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 Managing workplace diversity: Issues and challenges Subject The topic of the resource CUIM Description An account of the resource Sage Open pp.1-5 DoI No. 10.1177/2158244012444615 Creator An entity primarily responsible for making the resource Harold Andrew Patrick and Vincent Rajkumar Source A related resource from which the described resource is derived https://www.researchgate.net/publication/258187297_Managing_Workplace_Diversity_Issues_and_Challenges Publisher An entity responsible for making the resource available Sage Open Date A point or period of time associated with an event in the lifecycle of the resource 2012 Language A language of the resource English 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 Organizational justice in higher educational institutions / Subject The topic of the resource Management Description An account of the resource NHRD Network Journal, Vol.7, Issue 4, pp.254-270, ISSN No: 0974-1739. Creator An entity primarily responsible for making the resource Harold Andrew Patrick, Asha Sara Mammen and Sheela Margaret Source A related resource from which the described resource is derived <a href="https://journals.sagepub.com/doi/abs/10.1177/0974173920140406" target="_blank" title="Organizational justice in higher educational institutions" rel="noreferrer noopener">https://journals.sagepub.com/doi/abs/10.1177/0974173920140406</a> Publisher An entity responsible for making the resource available National HRD Network Date A point or period of time associated with an event in the lifecycle of the resource 2014-01-05 Language A language of the resource English Type The nature or genre of the resource Journal Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 Harrison, Mark Gregory; Dey, Anjali Miriam; Ying, Ji; Mrvar, Petra Gregor?i?; ari?, Marjeta; Hocson, Sheila Marie; Distor, John Mark; Acopio, John Ray; Clavecillas, Elgin; Lam, Chi-Ming; Jackson, Liz Title A name given to the resource The Role of Humility in School Counselling Relationships: A cross-cultural Comparison 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 for the Advancement of Counselling;Volume;48;Issue;1;Article No.;11; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s10447-025-09624-0" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s10447-025-09624-0</a> <a href="https://www.scopus.com/pages/publications/105024775857?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105024775857?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 Harrison M.G., Hong Kong Shue Yan University, 10 Wai Tsui Cres, North Point, Hong Kong; Dey A.M., CHRIST (Deemed to be University), Bangalore, India; Ying J., Education University of Hong Kong, 10 Lo Ping Rd, Ting Kok, Hong Kong; Mrvar P.G., University of Ljubljana, Kongresni trg 12, Ljubljana, 1000, Slovenia; ari? M., University of Ljubljana, Kongresni trg 12, Ljubljana, 1000, Slovenia; Hocson S.M., Far Eastern University, Nicanor Reyes Sr, Street, Sampaloc, Metro Manila, Manila, 1008, Philippines; Distor J.M., Far Eastern University, Nicanor Reyes Sr, Street, Sampaloc, Metro Manila, Manila, 1008, Philippines; Acopio J.R., Map University, 658 Muralla St, Intramuros, Metro Manila, Manila, 1002, Philippines; Clavecillas E., University of Santo Tomas, Espa Blvd, Sampaloc, Metro Manila, Manila, 1008, Philippines; Lam C.-M., Education University of Hong Kong, 10 Lo Ping Rd, Ting Kok, Hong Kong; Jackson L., University of Hong Kong, Pok Fu Lam, Hong Kong Description An account of the resource In this multi-continent, cross-cultural study, we investigated the role of humility in counselling relationships between school counsellors and students across Southeast Asia, South Asia, and Central Europe. A culturally diverse research group interviewed 45 school counsellors and analysed the data thematically. The findings suggest that humility is a relational and context-dependent trait, highlighting how cultural understandings and enactments of humility shape counsellor-student relationships. The study has implications for developing culturally relevant counselling practices in schools, where cultural characteristics, organisational factors, and counsellors professional practices interact. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025. Subject The topic of the resource Cross-cultural; Humility; School counselling Publisher An entity responsible for making the resource available Springer Relation A related resource ISSN: 1650653; 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 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 Enhancements in anomaly detection in body sensor networks Subject The topic of the resource Anomaly detection; Body sensor networks; Machine learning Description An account of the resource Anomaly detection in Body Sensor Networks (BSNs), have recently received much attention from the healthcare community. This is partly due to the development of sensor based real-time tracking and monitoring networks. These networks have been responsible not only for ensuring critical medical treatment at times of emergency, but have also made it easier for health-care personnel to administer critical treatment. In this paper we consider improvements to existing machine learning methods that detect anomalous sensor measurements. The improved methods are a step in the right direction in ensuring unduly overheads due to faulty sensors don't interfere while administering life-critical treatment in a limited resources scenario. 2019 IEEE. Creator An entity primarily responsible for making the resource Harry R.S.; Joseph R. Source A related resource from which the described resource is derived Proceedings - 22nd IEEE International Conference on Computational Science and Engineering and 17th IEEE International Conference on Embedded and Ubiquitous Computing, CSE/EUC 2019, pp. 384-389. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2019-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/CSE/EUC.2019.00079" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/CSE/EUC.2019.00079</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077074299&doi=10.1109%2FCSE%2FEUC.2019.00079&partnerID=40&md5=f9eb5ef007d945ba27d18bc04b31d82d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077074299&doi=10.1109%2fCSE%2fEUC.2019.00079&partnerID=40&md5=f9eb5ef007d945ba27d18bc04b31d82d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-172811663-1 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Harry R.S., Dept. of Electronics and Communications, Christ University, Bangalore, India; Joseph R., Dept. of Electrical Engineering, IIT Madras, Chennai, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Review On Geospatial Intelligence For Investigative Journalism Subject The topic of the resource Geospatial Intelligence; Investigative Journalism; Satellite Imagery; Suez Canal; Uttarakhand Landslide Description An account of the resource Throughout the ongoing Russian invasion of Ukraine, satellite images like the vast convoy of Russian military vehicles approaching the beleaguered Ukrainian city of Kyiv, Russian aircraft deployed at Zyabrovka, Belarus and many more such visuals have been in circulation and are being used as a tool to facilitate investigative journalistic studies. Such satellite-based images are one of the latest means of accessing vital data that can help in expanding the scope and impact of investigative journalism. Geospatial intelligence uses varied graphical content to convey information about the activities that occur on the surface of the earth. It includes colour and panchromatic (black and white) aerial photographs, multispectral or hyperspectral digital imagery, and products such as shaded relief maps or three-dimensional images produced from digital elevation models. The improving technology in geospatial spectra has broadened the scope of its usage to investigative journalism which lies at the core of this review paper. Some of the path-breaking journalistic stories that have come up in the past decade - imaging of the Uttarakhand landslide in 2021 using satellite images, coverage of the Fukushima nuclear plant since 2011, and 2021 tracking of Asia's border disputes emerging due to climate change and the satellite journalism built around the blockage of Suez canal in 2021 - showcase the potential that geospatial intelligence has in the domain of journalism. All four identified stories point out how we can practice satellite-based investigative studies, especially, for scrutinizing and comparing historical records regarding cross-border issues as well as the disappearance of pastures and forests in vast open lands. However, the arena of using geospatial intelligence, enabled by satellite images, remains underutilized and limited to specific journalistic organizations, based in a few countries. This exploratory review of the four mentioned journalistic accounts identifies the contexts where such efforts are feasible, methods that are required, sources that could be tapped, associated skill sets needed for its usage, the dynamics of such investigative approaches, and their scope and limitations. This review and the conclusions drawn from the above-mentioned cases provides a direction for journalists from small organizations and low income countries to explore the potential of satellite-based images in furthering their investigative reporting with a technological edge that persists to be sovereign in the geopolitical powerplay. Copyright 2022 by the International Astronautical Federation (IAF). All rights reserved. Creator An entity primarily responsible for making the resource Harshitha V.; Nainani M.; Padmakumar M.M.; Kumar R. Source A related resource from which the described resource is derived Proceedings of the International Astronautical Congress, IAC, Vol-2022-September Publisher An entity responsible for making the resource available International Astronautical Federation, IAF 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="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85167595784&partnerID=40&md5=3e834fe2e5a4b64512ff88cf42a96939" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85167595784&partnerID=40&md5=3e834fe2e5a4b64512ff88cf42a96939</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 741795 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 Harshitha V., Department of Media and Communication Studies, Christ Deemed to be University, Hosur Road, Bhavani Nagar, S G Palya, Karnataka, Bengaluru, 560054, India; Nainani M., Department of Media and Communication Studies, Christ Deemed to be University, Hosur Road, Bhavani Nagar, S G Palya, Karnataka, Bengaluru, 560054, India; Padmakumar M.M., Department of Media and Communication Studies, Christ Deemed to be University, Hosur Road, Bhavani Nagar, S G Palya, Karnataka, Bengaluru, 560054, India; Kumar R., Grahaa Space, Lomonosov Moscow State University (MSU), Karnataka, Bengaluru, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications 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 Harshitha, K.R.; Xavier, Jobi Title A name given to the resource Phytochemical profiling and evaluation of antioxidant and anti-inflammatory activities of Ipomoea alba L. 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.6231" target="_blank" rel="noreferrer noopener">https://doi.org/10.14719/pst.6231</a> <a href="https://www.scopus.com/pages/publications/105008431992?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105008431992?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 Harshitha K.R., Life science, Christ (deemed to be University), Karnataka, Bangalore, 560 029, India; Xavier J., Life science, Christ (deemed to be University), Karnataka, Bangalore, 560 029, India Description An account of the resource Plant-based medicine has been one of the oldest therapeutic practices in India and continues to offer valuable treatments for various ailments. Ipomoea alba, commonly known as morning glory, belongs to the family Convolvulaceae and is native to the tropical and subtropical regions of North and South America. It is renowned for its large, fragrant, nocturnal blooms, this plant holds significant potential in traditional medicine, particularly for managing gastrointestinal disorders, inflammation, and skin conditions. The nutrient content of Ipomoea alba leaves and seeds has demonstrated promising health benefits. This study investigated the phytochemical profile of Ipomoea alba leaves using three solvents: water, methanol, and chloroform. Phytochemical analysis confirmed the presence of carbohydrates, proteins, alkaloids, flavonoids, saponins, and tannins. HPLC analysis identified the presence of phenols in the aqueous extract, albeit in small quantities. Among the three extracts,the methanolic extract exhibited the highest antioxidant activity, as determined by DPPH, ABTS, and FRAP assays. Anti-inflammatory activity, assessed using a proteinase inhibitory assay, demonstrated that the methanolic extract showed the greatest inhibition at lower concentrations compared to the aqueous and chloroform extracts. The results suggest that the antioxidant and anti-inflammatory properties of Ipomoea alba may hold potential applications in cancer prevention and treatment. Future studies will aim to evaluate its cytotoxic effects, thereby exploring its potential role in cancer therapy. The Author(s). Subject The topic of the resource anti-inflammatory activity; antioxidants; HPLC analysis; Ipomoea alba; phytochemicals 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 Harshitha, K.R.; Xavier, Jobi Title A name given to the resource Anticancer potential of Ipomoea alba: Induction of apoptosis and cell cycle arrest in MDA-MB-231 cells 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 Medicinal Plants;Volume;17;Issue;3;pp.510-517 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.5958/0975-6892.2025.00052.5" target="_blank" rel="noreferrer noopener">https://doi.org/10.5958/0975-6892.2025.00052.5</a> <a href="https://www.scopus.com/pages/publications/105024195917?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105024195917?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 Harshitha K.R., Department of Life Science, Christ (Deemed to be University), Karnataka, Bangalore, 560029, India; Xavier J., Department of Life Science, Christ (Deemed to be University), Karnataka, Bangalore, 560029, India Description An account of the resource Cancer is one of the major global health concerns, which supports the investigation of novel therapeutic agents with enhanced potency and minimal side effects. Ipomoea alba, belonging to the Convolvulaceae family, was selected for this study due to its known anti-inflammatory properties and the presence of secondary medical applicability. In this study, the cytotoxic, apoptotic, and cell cycle arrest effects of the methanol extract of Ipomoea alba were evaluated against MDA-MB-231 human breast cancer cell lines. Cytotoxicity was evaluated using the 3-(4,5-dimethylthiazol-2-yl)-2,5 diphenyltetrazolium bromide (MTT) assay across varying concentrations, revealing an IC50 value of 167.02 g/mL after 24 hours of treatment. Apoptosis and necrosis were examined through Annexin V/propidium iodide (PI) staining via flow cytometry, with treated cells showing 58.1% apoptosis (p < 0.001) and 16.71% necrosis (p < 0.01) compared to the control. Cell cycle distribution, evaluated using PI/ribonuclease (RNase) staining, revealed a significant increase in the G2 /M phase (56.31%, p < 0.001) and a mild increase in the Sub G0 /G1 phase (1.12%, p < 0.05), indicating arrest at critical regulatory checkpoints. These findings demonstrate that I. alba methanol extract possesses potent anticancer properties by inducing apoptosis and interfering with cell cycle progression in breast cancer cells. The results suggest its potential as a candidate for anticancer drug development and alternative therapeutic strategies. 2025, Indian journals. All rights reserved. Subject The topic of the resource Anticancer activity; apoptosis; breast cancer; cell cycle arrest; cytotoxicity; Ipomoea alba; MDA-MB-231; methanol extract Publisher An entity responsible for making the resource available Indian journals Relation A related resource ISSN: 9754261; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Harshitha, Talasila; Prathiba, S.; Narasimha Murthy, H.; Devapictahi, Joel Jebadurai Title A name given to the resource Frictionless shopping in the digital era: A comprehensive analysis of instant gratification, ethical considerations, and future prospects 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 Marketing Intelligence, Part A: Understanding Customers in the Era of Digitalization;pp.73-89 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1108/978-1-83549-418-920251005" target="_blank" rel="noreferrer noopener">https://doi.org/10.1108/978-1-83549-418-920251005</a> <a href="https://www.scopus.com/pages/publications/105006493864?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105006493864?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 Harshitha T., Christ University, India; Prathiba S., Christ University, India; Narasimha Murthy H., Christ University, India; Devapictahi J.J., St. Joseph's College of Engineering, India Description An account of the resource This research chapter investigates the dynamic interplay between instant gratification and smart retailing, focussing on the transformative impact of frictionless shopping experiences. This chapter examines various channels, including omnichannel shopping, personalized recommendations, gamification, and rewards, highlighting their roles in bridging the gap between physical and digital realms. Additionally, it delves into the immersive world of virtual try-ons, analyzing their influence on immediate decision-making and customer satisfaction. This chapter also explores the intersection of instant gratification and smart retailing, emphasizing frictionless shopping's transformative impact. It examines ethical implications, envisions future frameworks, and anticipates enhanced consumer empowerment in evolving retail landscapes. This chapter employs a comprehensive literature review approach to analyze the existing body of knowledge on frictionless shopping, instant gratification, and smart retail technologies. This chapter highlights the transformative potential of smart retail, emphasizing ethical considerations. Anticipating enhanced consumer empowerment, it envisions a moral evolution in retail practices for immediate satisfaction. Informing retailers on ethical considerations, influencing policy development, and guiding the industry towards transparent, consumer-centric smart retail practices for sustainable growth and customer satisfaction. This chapter contains updated work from Frictionless shopping, Smart retailing, Instant gratification, and Ethical considerations. A comprehensive exploration of instant gratification's interplay with smart retailing, emphasizing ethical considerations and forecasting future frameworks to guide the evolving landscape towards responsible and transparent consumer-centric practices. 2025 Talasila Harshitha, Prathiba S., Narasimha Murthy H. and Joel Jebadurai Devapictahi. Published under exclusive licence by Emerald Publishing Limited. All rights reserved. Subject The topic of the resource Ethical considerations; Frictionless shopping; Gamification; Instant gratification; Omnichannel shopping; Personalized recommendations; Prospects; Smart retailing; Virtual try-ons Publisher An entity responsible for making the resource available Emerald Publishing Relation A related resource ISBN: 978-183549418-9; 978-183549419-6; 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 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 Hasan, Mohammed Faez; Sherin, K.; Champaneria, Tushar; Sidhu, Kawerinder Singh; Raja Mannar, B.; Acharjee, Purnendu Bikash Title A name given to the resource Artificial Intelligence-Powered Stock Market Forecasting with Metaheuristic Feature Selection Techniques Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Proceedings - 2025 IEEE 1st International Conference on Smart Innovations in Systems, Infrastructure, Mechanical, Power, AI and Computing Technologies, SISIMPACT 2025;pp.740-745 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/SISIMPACT67725.2025.11439293" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/SISIMPACT67725.2025.11439293</a> <a href="https://www.scopus.com/pages/publications/105037436764?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105037436764?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 Hasan M.F., Kerbala University, Finance and Banking Department, Iraq; Sherin K., St.Joseph's Institute of Technology, Dept of CSE, India; Champaneria T., Computer Engineering, L. D. College of Engineering, Ahmedabad, India; Sidhu K.S., Uttaranchal Institute of Management, Uttaranchal University, Uttarakhand, Dehradun, India; Raja Mannar B., Graham International University, (Online), Viet Nam; Acharjee P.B., Computer Science, CHRIST University, Bengaluru, India Description An account of the resource This study proposed a hybrid stock market forecasting model which consists of Artificial Intelligence (AI) and metaheuristic feature selection algorithms to improve the accuracy in prediction and efficiency of the prototypical. It uses PSO (Particle Swarm Optimization) algorithm to pick the most relevant feature out of a pool of technical indicators and sentiment data and temporally learns the pattern using the LSTM (Long Short-Term Memory) network. The model yields better learning by diminishing noise and dimensionality and prevents over fitting. The efficiency of the anticipated system is seen through comparative analysis with such baseline models as SVM (Support Vector Machine), RF (Random Forest), and standard LSTM. This prototypical obtained MAE of 11.2RMSE of 18.18, and the mean absolute percentage error (MAPE) of 5.36 percent, with R2 of 0.91 and directional accuracy of 86.4 percent. The above results confirm the effectiveness of the suggested method, providing a solid and generalizable solution in terms of intelligent stock market prediction and investment decision support. 2025 IEEE. Subject The topic of the resource Artificial Intelligence; Feature Selection; Financial Prediction; Metaheuristic Algorithms; Stock Market Forecasting; Time Series Examination Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833155787-4; 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 Haseena, Shaik Valli; Jasawani, Neha; Ayasha; Suresh, Gaikwad Beena; Suresh, Gaikwad Beena; Shanavas, Simna Title A name given to the resource AI in Financial Fraud Detection and Prevention 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 Designing Inclusive Classrooms: Integrating Emerging Technologies for Equity and Social Justice;pp.295-327 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1002/9781394389223.ch14" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/9781394389223.ch14</a> <a href="https://www.scopus.com/pages/publications/105034021951?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105034021951?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 Haseena S.V., Christ University, Bengaluru, India, Department of Computer Applications, Presidency College, Bengaluru, India; Jasawani N., Department of Computer Applications, Presidency College, Bengaluru, India; Ayasha, Department of Computer Science, Christ College of Science and Management, Bengaluru, India; Suresh G.B., Department of Computer Applications, Presidency College, Bengaluru, India; Suresh G.B., Department of Computer Applications, CMR University, Presidency College, Bengaluru, India; Shanavas S., Department of Computer Applications, Presidency College, Bengaluru, India Description An account of the resource Fraud has always posed problems to financial institutions and with the rapid growth of digital transactions, and its complexity has increased beyond detection. Normal methods of fraud detection that depend on rules only are severely outdated and ineffective against newer types of schemes. It is now imperative to employ more sophisticated mechanisms for fraud detection considering the evolvement of financial crimes. The massive amounts of transnational data that need to be analyzed to detect fraudulent patterns can now be processed with medium to high levels of accuracy using AI with the help of machine learning, deep learning, and natural language processing (NLP), and fraud detection and prevention have been transformed for the better. Algorithms of machine learning like supervised, unsupervised, and reinforcement learning are central to the features of fraud detection. Suspicious transactions are detected during supervised learning by using already existing fraudulent data, whereas unsupervised learning detects all anomalies without any prior defined labels. Through real-time data input, reinforcement learning adjusts its detection methodologies. Deep learning models such as convolutional neural networks and recurrent neural networks identify and process fraud indicators hidden within messages or intricate datasets. Moreover, through intricate analysis of customer interactions, NLP techniques detect fraudulent activities by identifying phishing attempts and deceptive communications. The chapter touches upon the issues of implementing AI oriented fraud detection in realms like e-commerce and entertainment. Identifying fraud from e-commerce is complicated by factors like high volume of transactions, false positives, privacy issues, and the endless frameworks of fraud. Finally, the chapter provides a summary of the main insights and makes recommendations for further investigation like incorporating blockchain, federated learning, and higher explainability to bolster AI powered fraud detection systems. 2026 Scrivener Publishing LLC. Subject The topic of the resource anomaly detection; Artificial intelligence (AI); behavioral biometrics; deep learning; fraud detection; machine learning; NLP; predictive analytics Publisher An entity responsible for making the resource available wiley Relation A related resource ISBN: 978-139438922-3; 978-139438919-3; 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 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 Haseena, Shaik Valli; Jaswani, Neha Title A name given to the resource Generative AI for Next-Generation Recommender Systems: Architectures, Applications, and Future Directions 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 Next-Generation Recommendation Systems: A Comprehensive Guide to Enabling Technologies and Tools and their Business Benefits;pp.201-223 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1002/9781394351572.ch9" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/9781394351572.ch9</a> <a href="https://www.scopus.com/pages/publications/105038510500?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105038510500?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 Haseena S.V., Presidency College, Christ University, Bengaluru, India; Jaswani N., Presidency College, Bengaluru, India Description An account of the resource The recommender systems have become a must in delivering personalized experiences across digital platforms. Still, traditional approaches, such as collaborative and content-based filtering, suffer from some inherent limitations: data sparsity, scalability, and dynamic user adaptation. In this context, generative AI emerges as a game-changing solution empowered by state-of-the-art models like variational autoencoders (VAEs), generative adversarial networks (GANs), and transformers to overcome the above-mentioned limitations. These models make possible the synthesis of user-item interaction data, uncovering latent patterns and providing context-aware recommendations, thereby redefining personalization in recommender systems. This chapter provides a detailed survey on the role of generative AI in recommender systems, their components, architectures, and applications. Case studies in e-commerce, entertainment, and education provide insights into how generative models help drive personalization, tackle the cold-start problem, and adapt dynamically to the evolution of user behaviors. Nevertheless, open issues regarding computational complexity, privacy protection, and ethical considerations remain. To address these, the chapter outlines the future enhancements in the areas of federated learning for privacy-preserving collaboration, multimodal data integration for holistic user profiling, and explainable AI frameworks to foster transparency and trust. Bridging these gaps would let generative AI-driven recommenders further revolutionize personalization, scalability, and inclusiveness, opening up a way to innovative solutions across the board in various industries. 2026 by John Wiley & Sons Inc. All rights reserved. Subject The topic of the resource Data sparsity; Explainable AI; Federated learning; Generative adversarial networks; Generative AI; Personalization; Recommender systems; Transformers; Variational autoencoders Publisher An entity responsible for making the resource available wiley Relation A related resource ISBN: 978-139435157-2; 978-139435154-1; 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 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 Haseena, Shaik Valli; Shanavas, Simna; Brundha, N.; Ayasha Title A name given to the resource Cybersecurity vulnerabilities in federated learning 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 Federated Learning in Finance: Unlocking Privacy-Preserving and Cyber Resilience using AI;pp.61-86 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003660330-4" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003660330-4</a> <a href="https://www.scopus.com/pages/publications/105035266396?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105035266396?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 Haseena S.V., Presidency College, Bengaluru, India; Shanavas S., Presidency College, Bengaluru, India; Brundha N., M S Ramaiah College of Arts Science and Commerce, Bangalore, India; Ayasha, Christ College of Science and Management, Bengaluru, India Description An account of the resource Federated Learning (FL) has been conceived as a dispersed machine learning paradigm facilitating collaborative learning at edge devices without exposing raw data. The model is amenable to privacy preservation and data protection regulation, for example, General Data Protection Regulation compliance. Yet, more widespread deployment of FL reveals a new and extreme spectrum of cybersecurity risks. These consist of data poisoning attacks that can potentially severely contaminate model integrity, model inversion attacks that can potentially recover sensitive data from exchanged gradients, adversarial manipulations where malicious agents take advantage of model weaknesses, and incidental privacy leakage. The impact and real world implication of these attacks differs, for example, a successful poisoning attack in medicine can result in misdiagnosis, model inversion in the finance sector could leak client confidential data, and adversarial attacks in Internet of Things (IoT) would control autonomous devices with safety consequences. This chapter critically reviews these threats taking into consideration attack feasibility, harm extent, and detectability, inspired by recent case studies illustrating their applicability in real world FL deployments. We also analyze the effectiveness of current state of the art countermeasures like robust aggregation methods, differential privacy, and cryptographic methods like secure multiparty computation and homomorphic encryption. By synthesizing current research on attack paradigms and counterattack architectures, the chapter offers practical knowledge towards constructing secure, robust, and trustworthy FL systems, particularly in high-risk applications like medicine, finance, and critical infrastructure. 2026 selection and editorial matter, Swati Sah, Rejwan Bin Sulaieman, and Aditya Dayal Tyagi; individual chapters, the contributors. Publisher An entity responsible for making the resource available CRC Press Relation A related resource ISBN: 978-104086966-6; 978-104111510-6; 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 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 Role of Machine Learning in the Analysis of Mental Health Data: An Empirical Approach Subject The topic of the resource Machine learning; Mental health; Supervised learning; Unsupervised learning Description An account of the resource As funding for mental health research has grown, so too has the body of knowledge about how best to address and alleviate issues related to mental health. However, there is still a lack of certainty and clarity on the precise causes of mental diseases. Discovery of new drugs, analysis of radiological data, forecasting of disease outbreaks, and the diagnosis of illnesses are just some of the medical applications of machine learning algorithms. Machine learning algorithms are commonly used to sift through the mountains of medical data. Since their performance has improved to the point where it can be relied upon, they are now used to aid in medical diagnosis. To assess and address the issues with mental health, numerous new approaches and algorithms had been devised. There are still a lot of issues that can be resolved. So the main purpose of this study is to examine the effectiveness of machine learning in mental health problems. For fulfilling this purpose, this study is descriptive in nature. Primary data is collected with the help of interview method in which 50 individuals suffering from mental illness were asked to answers some questions. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Hashmi S.G.; Shahi F.I.; Qidwai K.A.; Naser M.; Shafiuddin M.; Upreti K. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-730 LNNS, pp. 513-522. 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/10.1007/978-981-99-3963-3_39" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-99-3963-3_39</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174439397&doi=10.1007%2F978-981-99-3963-3_39&partnerID=40&md5=cf8f798c89e81333beb064b513982801" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174439397&doi=10.1007%2f978-981-99-3963-3_39&partnerID=40&md5=cf8f798c89e81333beb064b513982801</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981993962-6 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Hashmi S.G., Department of Computer Science, College of Computer Science and Information Technology, Jazan University, Jizan, Saudi Arabia; Shahi F.I., Deanship of E-Learning and Information Technology, Jazan University, Jazan, Saudi Arabia; Qidwai K.A., Department of Computer Science, College of Computer Science and Information Technology, Jazan University, Jizan, Saudi Arabia; Naser M., Deanship of E-Learning and Information Technology, Jazan University, Jazan, Saudi Arabia; Shafiuddin M., AFS Department, Oman College of Management and Technology, Halban, Oman; Upreti K., Department of Computer Science CHRIST (Deemed to be University), Delhi NCR, Ghaziabad, 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 Cold spray deposition of hydroxyapatite powder onto magnesium substrates for biomaterial applications Subject The topic of the resource Characterisation; Cold spray; Fractional factorial design; Hydroxyapatite; Magnesium; Surface response methodology Description An account of the resource A simple, modified, cold spray process was developed in which hydroxyapatite powder was coated onto pure magnesium substrates preheated to 350 or 550C and ground to either 240 or 2000 grit surface roughness, with stand-off distances of 20 or 40 mm. The procedure was repeated five and 10 times. The hydroxyapatite coatings did not show any phase changes. Atomic force microscopy revealed a uniform coating topography, and scanning electron microscopy revealed good bonding between the coated layers and the substrates. As the p values were < 0.05, all factors except the number of sprays were considered to be significant. The response optimiser indicated that a 22.7 mm stand-off distance, a 649.2 grit surface roughness and a 496C substrate heating temperature produced good hydroxyapatite coatings of 46.3 ?m thickness, 436.5 MPa nanohardness and 43.9 GPa elastic modulus. The modified cold spray technique with substrate heating showed promising results in terms of product coating thickness and mechanical properties. 2015 Institute of Materials, Minerals and Mining. Creator An entity primarily responsible for making the resource Hasniyati M.; Zuhailawati H.; Sivakumar R.; Dhindaw B.K.; Noor S.N.F.M. Source A related resource from which the described resource is derived Surface Engineering, Vol-31, No. 11, pp. 867-874. Publisher An entity responsible for making the resource available Maney Publishing Date A point or period of time associated with an event in the lifecycle of the resource 2015-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1179/1743294415Y.0000000068" target="_blank" rel="noreferrer noopener">https://doi.org/10.1179/1743294415Y.0000000068</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84957954901&doi=10.1179%2F1743294415Y.0000000068&partnerID=40&md5=e5796ffa3a09979286fcffc3c6618032" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-84957954901&doi=10.1179%2f1743294415Y.0000000068&partnerID=40&md5=e5796ffa3a09979286fcffc3c6618032</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 2670844; CODEN: SUENE 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 Hasniyati M., Biomaterials Niche Area Group, School of Materials and Mineral Resources Engineering, Engineering Campus, Universiti Sains Malaysia, Nibong Tebal, Penang, 14300, Malaysia; Zuhailawati H., Biomaterials Niche Area Group, School of Materials and Mineral Resources Engineering, Engineering Campus, Universiti Sains Malaysia, Nibong Tebal, Penang, 14300, Malaysia; Sivakumar R., Biomaterials Niche Area Group, School of Materials and Mineral Resources Engineering, Engineering Campus, Universiti Sains Malaysia, Nibong Tebal, Penang, 14300, Malaysia; Dhindaw B.K., Faculty of Engineering, Christ University, Bangalore, 560060, India; Noor S.N.F.M., Paediatric Dentistry Unit, Advanced Medical and Dental Institute, Universiti Sains Malaysia, Bertam, Kepala Batas, Penang, 13200, Malaysia 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 Optimization of multiple responses using overlaid contour plot and steepest methods analysis on hydroxyapatite coated magnesium via cold spray deposition Subject The topic of the resource Coating; Cold spray; Hydroxyapatite; Multiple responses; Overlaid method; Steepest method Description An account of the resource In this work, sequential optimization strategy based statistical design was employed to enhance the mechanical properties of hydroxyapatite coatings onto a pure magnesium substrate using a cold spray technique. A fractional factorial design (24-1) was applied to elucidate the process parameters that significantly affected the mechanical properties of the coating samples. Standoff distance, surface roughness, and substrate heating temperature were identified as important process parameters affecting thickness, nanohardness, and the elastic modulus of the coating sample. The overlaid method analysis was employed to determine tradeoff optimal values from multiple regressive equations. Then, finally, steepest method analysis was used to reconfirm and relocate the optimal domain from which the factor levels for maximum mechanical properties of the coating were determined at 49.77mm standoff distance, 926.4grit surface roughness, and 456C substrate heating temperature, which can accommodate the optimum requirements for the cold spray process with a coating of 49.77?m thickness, 462.61MPa nanohardness, and 45.69GPa elastic modulus. Scanning electron microscopy revealed that a short standoff distance, high surface roughness, and high substrate temperatures improved the bond between the coated layers and substrates. 2015 Elsevier B.V. Creator An entity primarily responsible for making the resource Hasniyati M.R.; Zuhailawati H.; Sivakumar R.; Dhindaw B.K. Source A related resource from which the described resource is derived Surface and Coatings Technology, Vol-280, pp. 250-255. 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 2015-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.surfcoat.2015.09.006" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.surfcoat.2015.09.006</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84944217914&doi=10.1016%2Fj.surfcoat.2015.09.006&partnerID=40&md5=b1e58563480e3339e0eabf7e1c726aa7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-84944217914&doi=10.1016%2fj.surfcoat.2015.09.006&partnerID=40&md5=b1e58563480e3339e0eabf7e1c726aa7</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 2578972 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 Hasniyati M.R., Biomaterials Niche Area Group, School of Materials and Mineral Resources Engineering, Universiti Sains Malaysia, Engineering Campus, Nibong Tebal, Penang, 14300, Malaysia; Zuhailawati H., Biomaterials Niche Area Group, School of Materials and Mineral Resources Engineering, Universiti Sains Malaysia, Engineering Campus, Nibong Tebal, Penang, 14300, Malaysia; Sivakumar R., Biomaterials Niche Area Group, School of Materials and Mineral Resources Engineering, Universiti Sains Malaysia, Engineering Campus, Nibong Tebal, Penang, 14300, Malaysia; Dhindaw B.K., Faculty of Engineering, Christ University, Bangalore, 560060, 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 Book Faculty Publications- Book Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Tourism and Hospitality in Asia: Crisis, Resilience and Recovery Subject The topic of the resource Consumer Behavior; Corporate Social Responsibility; COVID-19; COVID-19 and tourism; Crisis; CSR; Cultural Tourism; Digital Footprint; Disruptive Dining; Food Practices; Pandemic; Recovery; Resilience; Safety and Security in Tourism; Tourism and Hospitality Description An account of the resource This book analyses the ways in which crises, including COVID-19, can be managed within the tourism and hospitality industries in Asia, in ways that support the future of these industries and help to make them more resilient. This book supports efforts to develop a new direction for the tourism and hospitality industry by considering their development holistically in the context of sustainable development. Going further, this book highlights actions to make the tourism system more resilient to external shocks and crises. Readers of this book will get insights into the economic, social, technological, and environmental implications of crises on the tourism and hospitality industry in Asia, including issues within the food and beverage industry in the Asian post-COVID-19 period. This book has three major objectives: to explore the crisis context of Asian tourism and hospitality, to present multiple cases from countries in Asia, and finally to envisage the paths to make the Asian tourism system more resilient, through the discussion of new trends and issues emerging following the pandemic. This book examines the economic, social, environmental, and technological implications of crises on the Asian tourism and hospitality industry and discusses the various ways of managing these crises more efficiently, contributing new knowledge to the industry. In its wider context, this book covers tourism management, crisis management, and destination management. At the more micro level, themes explored include tourism economics, marketing management, hospitality management, food and beverage management and tourism technology. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022. Creator An entity primarily responsible for making the resource Hassan A.; Sharma A.; Kennell J.; Mohanty P. Source A related resource from which the described resource is derived Tourism and Hospitality in Asia: Crisis, Resilience and Recovery, pp. 1-347. 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-19-5763-5" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-5763-5</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163456071&doi=10.1007%2F978-981-19-5763-5&partnerID=40&md5=8ffea2663fde1676315425d1db554128" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163456071&doi=10.1007%2f978-981-19-5763-5&partnerID=40&md5=8ffea2663fde1676315425d1db554128</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-981195763-5; 978-981195762-8 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 Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Hassan A., Tourism Consultants Network, The Tourism Society, London, United Kingdom; Sharma A., Department of Commerce and Management, University of Kota, Kota, India; Kennell J., School of Hospitality and Tourism Management, University of Surrey, Guildford, United Kingdom; Mohanty P., Department of Business Administration, Christ (Deemed to be University), Bengaluru, India