327 20 16488 https://archives.christuniversity.in/files/original/95dd54e4feac818995d0da11db88fdba.pdf 4fe268978b15774295343a20dac3a777 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 Thesis PhD PhD Thesis 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 Design training and implementation of a new individualized education plan IEP format for special educators and students with intellectual disabilities at selected special schools / Subject The topic of the resource Education Creator An entity primarily responsible for making the resource Khushi Bhatia - 1530096 Publisher An entity responsible for making the resource available CHRIST (Deemed to be University) Date A point or period of time associated with an event in the lifecycle of the resource 2024-07-06 Language A language of the resource English Type The nature or genre of the resource PhD 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 PHD PhD PhD Thesis 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/. Relation A related resource 61000308 Title A name given to the resource Design, Training, and Implementation of A New Individualized Education Plan (IEP) Format For Special Educators And Students With Intellectual Disabilities At Selected Special Schools Subject The topic of the resource Education Description An account of the resource An individualized Education Plan (IEP) is a multidisciplinary, teamdeveloped plan required for every child receiving special education services. The researcher delved into concerns surrounding Individualized newlineEducation Programs (IEPs) for students with intellectual disabilities. Two significant hurdles were discovered: existing IEPs lacked essential intervention areas, and special education teachers felt inadequately newlineequipped to construct effective plans. newlineThe study tackled these concerns head-on through a multi-pronged approach. Firstly, a meticulous analysis of existing IEPs revealed crucial sections missing from intervention plans, hindering their effectiveness. newlineThis analysis served as the blueprint for crafting a more comprehensive IEP format that addressed the identified gaps and provided a robust framework for intervention. Next, the study focused on empowering special education teachers. Sixty special education teachers certified by the Rehabilitation Council of newlineIndia, participated in training sessions on the new format, undergoing a vital skills and knowledge upgrade in IEP development. This equipped them with the tools and understanding necessary to create more effective plans tailored to individual student needs. The theory then transitioned to practice. Students with intellectual newlinedisabilities were included in interventions based on the improved IEPs, with their progress closely tracked and evaluated. The results were highly promising. Teachers demonstrated a tangible improvement in knowledge, translating into their ability to create more effective IEPs. More importantly, students thrived with the enhanced format. Those involved in interventions using the improved IEPs exhibited significant progress in various domains, highlighting the positive impact of the new approach. The study culminated in key recommendations for further newlineimprovement. Ongoing teacher training sessions were suggested to ensure teachers remain updated on best practices and evolving methodologies. Creator An entity primarily responsible for making the resource Khushi, Bhatia Source A related resource from which the described resource is derived Author's Submission Publisher An entity responsible for making the resource available Christ(Deemed to be University) Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Contributor An entity responsible for making contributions to the resource Promod Kumar, M P M Rights Information about rights held in and over the resource Open Access Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource PhD Identifier An unambiguous reference to the resource within a given context <a href="http://hdl.handle.net/10603/547691" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/547691</a> 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 Kidangayil Sali, Anjumol; Thomas, Sabu Title A name given to the resource Synthesis of carbon nanomaterials from vegetables 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 Nanostructured Carbon Materials from Plant Extracts: Synthesis, Characterization, and Applications;pp.77-100 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/B978-0-323-95126-5.00025-1" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/B978-0-323-95126-5.00025-1</a> <a href="https://www.scopus.com/pages/publications/105025855448?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105025855448?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 Kidangayil Sali A., Department of Materials Engineering, Faculty of Mechanical Engineering, Czech Technical University in Prague, Prague, Czech Republic; Thomas S., School of Energy Materials, Mahatma Gandhi University, Kerala, Kottayam, India, Department of Physics and Electronics, Christ (Deemed to be University), Bangalore, India, School of Nanoscience and Nanotechnology, Mahatma Gandhi University, Kerala, Kottayam, India, International and Inter University Center for Nanoscience and Nanotechnology, Mahatma Gandhi University, Kerala, Kottayam, India Description An account of the resource This chapter looks into new horizons of sustainable nanotechnology developed through innovative carbocentrism that focuses on the development of carbon based nanomaterials from different categories of vegetables. This chapter is centered on the green synthesis of vegetable-derived sweet potato, garlic, lemon, and radish into carbon dots (CDs), graphene sheets, and carbon quantum dots through hydrothermal and aqueous extraction methods. To surpass traditional methods of nanomaterial synthesis, researchers are developing vegetable-derived nanomaterials that possess unique properties such as fluorescence and ranging surface functionalities. Such practices are recommended for reducing environmentally hazardous substances while upholding important eco-friendly principles and sustainable accountable nanotechnology. These methodologies address the misuse of dangerous substances and provides effective eco friendly approaches which emphasizenew direction towards sustainable nanotechnology. The versatility of these vegetable-derived carbon nanomaterials is evident in their applications, spanning from biomedical fields, such as drug delivery and bioimaging to environmental monitoring, particularly in the selective detection of metal ions. The advancements of medical technology are much needed in society today that is being more particular about green approaches and innovations. This willthe help low toxic and biocompatible nanomaterials live up to their full potential for eco-friendly biomedical technologies. This chapter serves as a comprehensive exploration of the synthesis, applications, and broader implications of carbon nanomaterials from vegetables, providing valuable insights into the evolving landscape of green nanotechnology. 2025 Elsevier Inc. All rights reserved. Subject The topic of the resource Biomedical applications; Carbon nano materials; Green nanotechnology; Plant extracts Publisher An entity responsible for making the resource available Elsevier Relation A related resource ISBN: 978-032395126-5; 978-032395127-2; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 Low-frequency pulse-jitter measurement with the uGMRT I: PSR J0437-4715 Subject The topic of the resource pulsar timing method; pulsars: individual: PSR J0437-4715; Radio astronomy Description An account of the resource High-precision pulsar timing observations are limited in their accuracy by the jitter noise that appears in the arrival time of pulses. Therefore, it is important to systematically characterise the amplitude of the jitter noise and its variation with frequency. In this paper, we provide jitter measurements from low-frequency wideband observations of PSR J0437 4715 using data obtained as part of the Indian Pulsar Timing Array experiment. We were able to detect jitter in both the 300-500 MHz and 1 260-1 460 MHz observations of the upgraded Giant Metrewave Radio Telescope (uGMRT). The former is the first jitter measurement for this pulsar below 700 MHz, and the latter is in good agreement with results from previous studies. In addition, at 300-500 MHz, we investigated the frequency dependence of the jitter by calculating the jitter for each sub-banded arrival time of pulses. We found that the jitter amplitude increases with frequency. This trend is opposite as compared to previous studies, indicating that there is a turnover at intermediate frequencies. It will be possible to investigate this in more detail with uGMRT observations at 550-750 MHz and future high-sensitive wideband observations from next generation telescopes, such as the Square Kilometre Array. We also explored the effect of jitter on the high precision dispersion measure (DM) measurements derived from short duration observations. We find that even though the DM precision will be better at lower frequencies due to the smaller amplitude of jitter noise, it will limit the DM precision for high signal-to-noise observations, which are of short durations. This limitation can be overcome by integrating for a long enough duration optimised for a given pulsar. The Author(s), 2024. Published by Cambridge University Press on behalf of Astronomical Society of Australia. Creator An entity primarily responsible for making the resource Kikunaga T.; Hisano S.; Batra N.D.; Desai S.; Joshi B.C.; Bagchi M.; Prabu T.; Takahashi K.; Arumugam S.; Bathula A.; Dandapat S.; Deb D.; Dwivedi C.; Gupta Y.; Jacob S.J.; Kareem F.; Nobleson K.; Mamidipaka P.; Paladi A.K.; Pandian B.A.; Rana P.; Singha J.; Srivastava A.; Surnis M.; Tarafdar P. Source A related resource from which the described resource is derived Publications of the Astronomical Society of Australia, Vol-41 Publisher An entity responsible for making the resource available Cambridge University Press 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/10.1017/pasa.2024.30" target="_blank" rel="noreferrer noopener">https://doi.org/10.1017/pasa.2024.30</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190867552&doi=10.1017%2Fpasa.2024.30&partnerID=40&md5=a81653614dacf3217071fa17000f5598" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190867552&doi=10.1017%2fpasa.2024.30&partnerID=40&md5=a81653614dacf3217071fa17000f5598</a> Rights Information about rights held in and over the resource All Open Access; Green Open Access Relation A related resource ISSN: 13233580 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 Kikunaga T., Graduate School Of Science And Technology, Kumamoto University, Kumamoto, Japan, Australia Telescope National Facility, Csiro Space And Astronomy, Epping, NSW, Australia; Hisano S., International Research Organization For Advanced Science And Technology, Kumamoto University, Kumamoto, Japan; Batra N.D., Department Of Physics And Astrophysics, Delhi University, Delhi, India; Desai S., Department Of Physics ,IIT Hyderabad, Telangana,Kandi, Hyderabad, India; Joshi B.C., National Centre For Radio Astrophysics (TIFR), Pune, India, Department Of Physics, Indian Institute Of Technology, Roorkee, India; Bagchi M., The Institute Of Mathematical Sciences, Taramani, Chennai, India, Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai, India; Prabu T., Raman Research Institute, Bangalore, India; Takahashi K., International Research Organization For Advanced Science And Technology, Kumamoto University, Kumamoto, Japan, Faculty Of Advanced Science And Technology, Kumamoto University, Kumamoto, Japan; Arumugam S., Department Of Electrical Engineering,IIT Hyderabad, Telangana,Kandi, Hyderabad, India; Bathula A., Department Of Physical Sciences,IISER Mohali, Punjab, India; Dandapat S., Department Of Astronomy And Astrophysics, Tata Institute Of Fundamental Research, Navy Nagar, Colaba, Mumbai, India; Deb D., The Institute Of Mathematical Sciences, Taramani, Chennai, India; Dwivedi C., Department Of Earth And Space Sciences, Indian Institute Of Space Science And Technology, Kerala, Thiruvananthapuram, India; Gupta Y., National Centre For Radio Astrophysics, Pune University Campus, Pune, India; Jacob S.J., Department Of Physics, Government Brennen College, Kannur University, Kerala,Thalassery, Kannur, India; Kareem F., Department Of Physical Sciences, Iiser Kolkata, West Bengal, Mohanpur, India, Center Of Excellence In Space Sciences India, Iiser Kolkata, West Bengal, Mohanpur, India; Nobleson K., International Research Organization For Advanced Science And Technology, Kumamoto University, Kurokami, Kumamoto, Japan; Mamidipaka P., Department Of Electrical Engineering,IIT Hyderabad, Telangana,Kandi, Hyderabad, India; Paladi A.K., Department Of Physics, Indian Institute Of Science, Karnataka, Bengaluru, India; Pandian B.A., Raman Research Institute, Bangalore, India, Christ University, Bangalore, India; Rana P., Department Of Astronomy And Astrophysics, Tata Institute Of Fundamental Research, Navy Nagar, Colaba, Mumbai, India; Singha J., Department Of Mathematics And Applied Mathematics, University Of Cape Town, Cape Town, South Africa; Srivastava A., Department Of Physics ,IIT Hyderabad, Telangana,Kandi, Hyderabad, India; Surnis M., Department Of Physics, Indian Institute Of Science Education And Research Bhopal, Madhya Pradesh,Bhauri, Bhopal, India; Tarafdar P., The Institute Of Mathematical Sciences, Taramani, 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 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 Powerlessness in the moral self: a social cognitive perspective on drug users Subject The topic of the resource Drug user; empowerment; moral model; moral psychology; negative identity; social identity; social psychology; social work; stigma Description An account of the resource Powerlessness resides in devalued self-images of drug users. This study, drawing on social and moral psychology, examined the moral functioning of drug users compared to non-drug users. Self-reported data concerning moral identity and moral judgment on drug use were assessed and compared between groups. Drug users appeared to have significantly weaker moral identity centrality and pro-drug moral judgment than non-drug users. They also showed dissociation in the relationship between moral identity and moral judgment. As a result, the study proposed a moral identity model of drug use to better approach social cognitive powerlessness in drug users moral self. 2021 Taylor & Francis Group, LLC. Creator An entity primarily responsible for making the resource Kim D. Source A related resource from which the described resource is derived Journal of Social Work Practice in the Addictions, Vol-21, No. 2, pp. 162-178. Publisher An entity responsible for making the resource available Routledge Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1080/1533256X.2021.1893967" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/1533256X.2021.1893967</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102516740&doi=10.1080%2F1533256X.2021.1893967&partnerID=40&md5=d6b1d78d9f7ed841e5b0f2430edb9505" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102516740&doi=10.1080%2f1533256X.2021.1893967&partnerID=40&md5=d6b1d78d9f7ed841e5b0f2430edb9505</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 1533256X 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 Kim D., Department of Social Work, CHRIST (Deemed to be University), Bengaluru, India https://archives.christuniversity.in/files/original/b3cf20929271c9ed7c39fb6608a8dd29.pdf 0c324d915766092eda5d27ab35ab1805 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 Thesis PhD PhD Thesis 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 Moral identity moral emotions and maladaptive personality traits among adolescents in south korea Subject The topic of the resource Social Work Creator An entity primarily responsible for making the resource Kim Doo Jong - 1640070 Publisher An entity responsible for making the resource available CHRIST (Deemed to be University) Date A point or period of time associated with an event in the lifecycle of the resource 2023-10-21 Language A language of the resource English Type The nature or genre of the resource PhD 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 High-Movement Human Segmentation in Video Using Adaptive N-Frames Ensemble Subject The topic of the resource artificial intelligence; deep learning; ensemble; High movement; human segmentation; video instance segmentation Description An account of the resource A wide range of camera apps and online video conferencing services support the feature of changing the background in real-time for aesthetic, privacy, and security reasons. Numerous studies show that the Deep-Learning (DL) is a suitable option for human segmentation, and the ensemble of multiple DL-based segmentation models can improve the segmentation result. However, these approaches are not as effective when directly applied to the image segmentation in a video. This paper proposes an Adaptive N-Frames Ensemble (AFE) approach for high-movement human segmentation in a video using an ensemble of multiple DL models. In contrast to an ensemble, which executes multiple DL models simultaneously for every single video frame, the proposed AFE approach executes only a single DL model upon a current video frame. It combines the segmentation outputs of previous frames for the final segmentation output when the frame difference is less than a particular threshold. Our method employs the idea of the N-Frames Ensemble (NFE) method, which uses the ensemble of the image segmentation of a current video frame and previous video frames. However, NFE is not suitable for the segmentation of fast-moving objects in a video nor a video with low frame rates. The proposed AFE approach addresses the limitations of the NFE method. Our experiment uses three human segmentation models, namely Fully Convolutional Network (FCN), DeepLabv3, and Mediapipe. We evaluated our approach using 1711 videos of the TikTok50f dataset with a single-person view. The TikTok50f dataset is a reconstructed version of the publicly available TikTok dataset by cropping, resizing and dividing it into videos having 50 frames each. This paper compares the proposed AFE with single models and the Two-Models Ensemble, as well as the NFE models. The experiment results show that the proposed AFE is suitable for low-movement as well as high-movement human segmentation in a video. 2022 Tech Science Press. All rights reserved. Creator An entity primarily responsible for making the resource Kim Y.-W.; Byun Y.-C.; Han D.S.; Dominic D.; Cyriac S. Source A related resource from which the described resource is derived Computers, Materials and Continua, Vol-73, No. 3, pp. 4743-4762. Publisher An entity responsible for making the resource available Tech Science Press 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/10.32604/cmc.2022.028632" target="_blank" rel="noreferrer noopener">https://doi.org/10.32604/cmc.2022.028632</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135060531&doi=10.32604%2Fcmc.2022.028632&partnerID=40&md5=5f84861c79f1e8a86b03c0abbc4200c0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135060531&doi=10.32604%2fcmc.2022.028632&partnerID=40&md5=5f84861c79f1e8a86b03c0abbc4200c0</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 15462218 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 Kim Y.-W., Centre for Digital Innovation, CHRIST (Deemed to be University), Bangalore, 560029, India; Byun Y.-C., Department of Computer Engineering, Jeju National University, Jeju, 63243, South Korea; Han D.S., School of Electronics Engineering, Kyungpook National University, Daegu, 41566, South Korea; Dominic D., Centre for Digital Innovation, CHRIST (Deemed to be University), Bangalore, 560029, India; Cyriac S., Centre for Digital Innovation, CHRIST (Deemed to be University), 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 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 Portrait segmentation using ensemble of heterogeneous deep-learning models Subject The topic of the resource Deep learning; Efficiency; Ensemble; Portrait segmentation; Simple soft voting; Stacking; Weighted soft voting Description An account of the resource Image segmentation plays a central role in a broad range of applications, such as medical image analysis, autonomous vehicles, video surveillance and augmented reality. Portrait segmenta-tion, which is a subset of semantic image segmentation, is widely used as a preprocessing step in multiple applications such as security systems, entertainment applications, video conferences, etc. A substantial amount of deep learning-based portrait segmentation approaches have been developed, since the performance and accuracy of semantic image segmentation have improved significantly due to the recent introduction of deep learning technology. However, these approaches are limited to a single portrait segmentation model. In this paper, we propose a novel approach using an ensemble method by combining multiple heterogeneous deep-learning based portrait segmentation models to improve the segmentation performance. The Two-Models ensemble and Three-Models ensemble, using a simple soft voting method and weighted soft voting method, were experimented. Intersection over Union (IoU) metric, IoU standard deviation and false prediction rate were used to evaluate the performance. Cost efficiency was calculated to analyze the efficiency of segmentation. The experiment results show that the proposed ensemble approach can perform with higher accuracy and lower errors than single deep-learning-based portrait segmentation models. The results also show that the ensemble of deep-learning models typically increases the use of memory and computing power, although it also shows that the ensemble of deep-learning models can perform more efficiently than a single model with higher accuracy using less memory and less computing power. 2021 by the authors. Licensee MDPI, Basel, Switzerland. Creator An entity primarily responsible for making the resource Kim Y.-W.; Byun Y.-C.; Krishna A.V.N. Source A related resource from which the described resource is derived Entropy, Vol-23, No. 2, pp. 1-20. Publisher An entity responsible for making the resource available Multidisciplinary Digital Publishing Institute (MDPI) 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/10.3390/e23020197" target="_blank" rel="noreferrer noopener">https://doi.org/10.3390/e23020197</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100772450&doi=10.3390%2Fe23020197&partnerID=40&md5=4887ebabf7b545a793c6d3aa95b20db8" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100772450&doi=10.3390%2fe23020197&partnerID=40&md5=4887ebabf7b545a793c6d3aa95b20db8</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: 10994300 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 Kim Y.-W., Centre for Digital Innovation, CHRIST (Deemed to be University), Bangalore, Karnataka, 560029, India; Byun Y.-C., Department of Computer Engineering, Jeju National University, 102 Jejudaehak-ro, Jeju-si, 63243, South Korea; Krishna A.V.N., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, Karnataka, 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 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 Selfie Segmentation in Video Using N-Frames Ensemble Subject The topic of the resource Deep learning; ensemble; image segmentation; multi-frames; neural network; selfie; soft voting; video Description An account of the resource Many camera apps and online video conference solutions support instant selfie segmentation or virtual background function for entertainment, aesthetic, privacy, and security reasons. A good number of studies show that Deep-Learning based segmentation model (DSM) is a reasonable choice for selfie segmentation, and the ensemble of multiple DSMs can improve the precision of the segmentation result. However, it is not fit well when we apply these approaches directly to the image segmentation in a video. This paper proposes an N-Frames (NF) ensemble approach for a selfie segmentation in a video using an ensemble of multiple DSMs to achieve a high-performance automatic segmentation. Unlike the N-Models (NM) ensemble which executes multiple DSMs at once for every single video frame, the proposed NF ensemble executes only one DSM upon a current video frame and combines segmentation results of previous frames to produce the final result. For the experiment, we use four state-of-the-art image segmentation models to make an ensemble. We evaluated the proposed approach using 81 videos dataset with a single-person view collected from publicly available websites. To measure the performance of segmentation models, Intersection over Union (IoU), IoU standard deviation, false prediction rate, Memory Efficiency Rate and Computing power Efficiency Rate parameters were considered. The average IoU values of the Two-Models NM ensemble, Two-Frames NF ensemble, Three-Models NM ensemble and Three-Frames NF ensemble were 95.1868%, 95.1253%, 95.3667% and 95.1734% each, whereas the average IoU value of single models was 92.9653%. The result shows that the proposed NF ensemble approach improves the accuracy of selfie segmentation by more than 2% on average. The result of cost efficiency measurement shows that the proposed method consumes less computing power like single models. 2021 IEEE. Creator An entity primarily responsible for making the resource Kim Y.-W.; Byun Y.-C.; Krishna A.V.N.; Krishnan B. Source A related resource from which the described resource is derived IEEE Access, Vol-9, pp. 163348-163362. 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 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ACCESS.2021.3133276" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ACCESS.2021.3133276</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121400954&doi=10.1109%2FACCESS.2021.3133276&partnerID=40&md5=3ef452a8f79bf4315b38f18ef3dcf3ab" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121400954&doi=10.1109%2fACCESS.2021.3133276&partnerID=40&md5=3ef452a8f79bf4315b38f18ef3dcf3ab</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 21693536 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 Kim Y.-W., Centre for Digital Innovation, CHRIST University (Deemed to Be University), Karnataka, Bengaluru, 560029, India; Byun Y.-C., Department of Computer Engineering, Jeju National University, Jeju-si, 63243, South Korea; Krishna A.V.N., Department of Computer Science and Engineering, CHRIST University (Deemed to Be University), Karnataka, Bengaluru, 560029, India; Krishnan B., Department of Computer Science and Engineering, CHRIST University (Deemed to Be University), Karnataka, Bengaluru, 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 Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Study on the Effect of Canny Edge Detection on Downscaled Images Subject The topic of the resource Canny Edge detection; Gaussian blur; image interpolation; structural similarity index method Description An account of the resource Abstract: Nowadays user devices such as phones, tablets etc. allows processing the images with help of high-end applications and softwares developed. Most of the times, the images are downscaled to make them compatible with these end devices. This leads to the loss of image quality. This loss of information on downscaling an image results in distortion of edges and while zoomed in results into a blurred image. As the edge detection is a basic step for many image processing applications such as object detection, object segmentation, object recognition, etc. It is necessary to know the impact of edge detection on downscaled image. In this paper, we are using Canny Edge detection method to detect the edges. The original images are downscaled using different interpolation methods. Canny Edge detection is applied on original images and downscaled images to compare the distortion in the edges. We used Structural Similarity Index Method for comparison. We are also comparing execution time taken by Canny Edge Detection on different interpolation methods to check for optimal interpolation method. We observed that the distortion in edges and time efficiency differ for different interpolation methods which are detailed below in the result section. As blurring is also a disadvantage of downscaling, we are applying Gaussian Blur on the images to compare the blurring due to Gaussian blur technique and blurring due to downscaling. 2020, Pleiades Publishing, Ltd. Creator An entity primarily responsible for making the resource Kim Y.W.; Innila Rose J.; Krishna A.V.N. Source A related resource from which the described resource is derived Pattern Recognition and Image Analysis, Vol-30, No. 3, pp. 372-381. Publisher An entity responsible for making the resource available Pleiades journals Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1134/S1054661820030116" target="_blank" rel="noreferrer noopener">https://doi.org/10.1134/S1054661820030116</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091068712&doi=10.1134%2FS1054661820030116&partnerID=40&md5=3598b8904796365171c724815ea693ee" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091068712&doi=10.1134%2fS1054661820030116&partnerID=40&md5=3598b8904796365171c724815ea693ee</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 10546618 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 Kim Y.W., Centre for Digital Innovation, CHRIST (Deemed to be University), Mysore Road, Bangalore, Kumbalgodu, India; Innila Rose J., Centre for Digital Innovation, CHRIST (Deemed to be University), Mysore Road, Bangalore, Kumbalgodu, India; Krishna A.V.N., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Mysore Road, Bangalore, Kumbalgodu, 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 Accuracy Enhancement of Portrait Segmentation by Ensembling Deep Learning Models Subject The topic of the resource Deep Learning; Ensemble Method; Portrait Segmentation; Simple Soft Voting; Weighted Soft Voting Description An account of the resource Portrait segmentation is widely used as a preprocessing step in multiple applications. The accuracy of portrait segmentation models indicates its reliability. In recent times, portrait segmentation using deep learning models have achieved significant success in performance and accuracy. However, these portrait segmentation models are limited to a single model. In this paper, we propose ensemble approach using multiple portrait segmentation models to improve the segmentation accuracy. The result of experiment shows that the proposed ensemble approach produces better accuracy than individual models. Accuracy of single models and proposed ensemble approach were compared with Intersection over Union (IoU) metric and false prediction rate to evaluate the accuracy performance. The result shows reduced false negative rate and false discovery rate, this reduction in false prediction has enabled ensemble approach to produce segmented images with optimized error and improved result of segmentation in portrait area of human body than individual portrait segmentation models 2020 IEEE. Creator An entity primarily responsible for making the resource Kim Y.W.; Innila Rose J.; Krishna A.V.N. Source A related resource from which the described resource is derived Proceedings - 2020 5th International Conference on Research in Computational Intelligence and Communication Networks, ICRCICN 2020, pp. 59-64. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICRCICN50933.2020.9296196" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICRCICN50933.2020.9296196</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099198426&doi=10.1109%2FICRCICN50933.2020.9296196&partnerID=40&md5=6f0718be72d3348bb71125fb8f9dfc12" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099198426&doi=10.1109%2fICRCICN50933.2020.9296196&partnerID=40&md5=6f0718be72d3348bb71125fb8f9dfc12</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-172818818-8 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kim Y.W., CHRIST (Deemed to Be University), Centre for Digital Innovation, Bangalore, India; Innila Rose J., CHRIST (Deemed to Be University), Centre for Digital Innovation, Bangalore, India; Krishna A.V.N., CHRIST (Deemed to Be University), Department of Computer Science and Engineering, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 Analyzing the Performance of Canny Edge Detection on Interpolated Images Subject The topic of the resource Bicubic Interpolation; Bilinear Interpolation; Canny Edge Detection; Nearest Neighbour Interpolation; Structural Similarity Index Method (SSIM). Description An account of the resource Surveillance cameras are extensively used nowadays in many commercial and domestic places to monitor theft, intrusion and other illegal activities. Typically, the cameras are placed at a high position to monitor a large area. Therefore, the captured images include background area in addition to the target objects. Under such situation, the image can be zoomed to focus on the target objects using various interpolation techniques. For further processing of the image, many techniques like edge detection, image sampling and image thresholding etc. are available. Considering edge detection to be a basic step for many application such as Object detection, Object recognition etc, in this work, we analyze the performance of the Canny Edge Detection algorithm on images interpolated using Nearest Neighbour, Bilinear and Bicubic interpolation methods. Canny Edge Detection is applied to the input image and the resultant image is saved for later comparison. The same image is upscaled using interpolation and the Canny Edge Detection algorithm is used on this upscaled image. This image is then resized to the original image size. Both the images are compared to check for their similarity using the Structural Similarity Index Method (SSIM). 2019 IEEE. Creator An entity primarily responsible for making the resource Kim Y.W.; Oh A.R.; Rose I.J.; Krishna A.V.N. Source A related resource from which the described resource is derived ICTC 2019 - 10th International Conference on ICT Convergence: ICT Convergence Leading the Autonomous Future, pp. 726-730. 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/ICTC46691.2019.8939595" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICTC46691.2019.8939595</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078260549&doi=10.1109%2FICTC46691.2019.8939595&partnerID=40&md5=14cbbac87503708698410b22ad752a90" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078260549&doi=10.1109%2fICTC46691.2019.8939595&partnerID=40&md5=14cbbac87503708698410b22ad752a90</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-172810892-6 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 Kim Y.W., CHRIST Deemed to Be University, Centre for Digital Innovation, Bangalore, India; Oh A.R., ETRI, 218 Gajeong-ro, Yuseong-gu, Daejeon, South Korea; Rose I.J., CHRIST Deemed to Be University, Centre for Digital Innovation, Bangalore, India; Krishna A.V.N., CHRIST Deemed to Be University, Centre for Digital Innovation, 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 PHD PhD PhD Thesis 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/. Relation A related resource 61000225 Title A name given to the resource Moral Identity, Moral Emotions and Maladaptive Personality Traits Among Adolescents in South Korea by Doo Jong Kim Subject The topic of the resource Social Work Description An account of the resource The rule of survival of the fittest often thwarted the leap towards holistic development. How does morality associate with personality in adolescent development? Drawing on the theories of Augusto Blasi and Gordon Allport, the present study took a morality-personality integrative approach to adolescent development and viewed moral identity centrality as an agentic drive for their holistic growth. It aimed to determine whether moral identity centrality, other-praising moral emotion, and personality dysfunction of maladaptive personality traits are coherent in predicting antisocial behaviour in a sample of 436 Korean adolescents (M = 15.71 years, SD = .70; female 48.4%). The present study set up three hypotheses in the structural relationship of research variables (i.e., moral identity centrality, other-praising moral emotion, personality dysfunction of maladaptive personality traits and antisocial behaviour). Hypothesis 1: Personality dysfunction of multiple maladaptive personality traits predicts antisocial behaviour. Hypothesis 2: Other-praising moral emotion and personality dysfunction mediate moral identity centrality and antisocial behaviour. Hypothesis 3: Sex does not make notable differences in the structural relationship of research variables. The study analyzed the data mainly through structural equation modelling (SEM). As a result, all hypotheses were accepted. First, four multiple maladaptive traits, i.e., negative affectivity, antagonism, disinhibition, and psychoticism, significantly predicted adolescents antisocial behaviour (and#946; = .791, p lt .001) (Hypothesis 1). Second, the modified structural model showed a serial multiple mediation effect of other-praising moral emotion and personality dysfunction between moral identity centrality and antisocial behaviour (Hypothesis 2). Third, multi-group analyses showed apparent coherence among research variables regardless of sex (Hypothesis 3). Creator An entity primarily responsible for making the resource Kim, Doo Jong Source A related resource from which the described resource is derived Author's Submission Publisher An entity responsible for making the resource available Christ(Deemed to be University) Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Contributor An entity responsible for making contributions to the resource P M, Mathew. Rights Information about rights held in and over the resource Open Access Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource PhD Identifier An unambiguous reference to the resource within a given context <a href="http://hdl.handle.net/10603/481263" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/481263</a> 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 Kim, Ye-Won; Lee, Han-Sol; Murthy, Hosakatte Niranjana; Lee, Hyoshin; Park, So-Young Title A name given to the resource In vitro storage under slow growth, plant regeneration, and ex vitro acclimatization of Ligusticum officinale (Makino) Kitag 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 South African Journal of Botany;Volume;195;pp.152-159 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.sajb.2026.04.052" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.sajb.2026.04.052</a> <a href="https://www.scopus.com/pages/publications/105039822547?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105039822547?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 Kim Y.-W., Department of Horticultural Science, Division of Animal, Horticultural and Food Sciences, Chungbuk National University, Cheongju, 28644, South Korea; Lee H.-S., Department of Horticultural Science, Division of Animal, Horticultural and Food Sciences, Chungbuk National University, Cheongju, 28644, South Korea; Murthy H.N., Department of Horticultural Science, Division of Animal, Horticultural and Food Sciences, Chungbuk National University, Cheongju, 28644, South Korea, Department of Life Sciences, Christ University, Bengaluru, 560029, India; Lee H., Department of Horticultural Science, Division of Animal, Horticultural and Food Sciences, Chungbuk National University, Cheongju, 28644, South Korea; Park S.-Y., Department of Horticultural Science, Division of Animal, Horticultural and Food Sciences, Chungbuk National University, Cheongju, 28644, South Korea Description An account of the resource Ligusticum officinale is an important medicinal plant belonging to Apiaceae. It does not set seeds and is propagated by rhizome division. However, its sensitivity to high summer temperatures makes field cultivation and genetic resource conservation challenging. To conserve L. officinale germplasm, we employed an in vitro slow-growth storage (SGS) method. Shoot cultures of L. officinale were established on Murashige and Skoog medium supplemented with 1.0 mg/L benzyl adenine, 30 g/L sucrose, and 2.4 g/L gelrite. Cultures were kept for one, three, five, and seven months. The effects of storage temperatures of 25 C (control) versus 15 C, medium supplementation with or without mannitol (3%), and abscisic acid (ABA), 0.5 mg/L, were examined. At the conclusion of the conservation period, survival was measured right away. Four weeks later, the shoot proliferation medium was used to measure the regrowth rate and recovery features. Subsequently, the regenerated shoots were transferred to MS medium supplemented with 1.0 mg/L indole-3-butyric acid for rooting of shoots for 4 weeks. The findings showed that even after seven months, shoot cultures kept at 15 C with medium supplemented with 3% mannitol and 0.5 mg/L ABA maintained a good survival rate of 83.3%. When compared to the control, most growth indices, including shoot length, fresh weight, number of shoots, and number of leaves, were significantly suppressed by mannitol and ABA combined treatment. A regrowth rate of 71% was achieved after transfer to proliferation medium. All the shoots that were cultured on rooting medium involved in rooting and plantlets were successfully acclimatized in controlled conditions. 2026 SAAB. Published by Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies. Subject The topic of the resource In vitroconservation; Ligusticum officinale; Medicinal plant; Shoot proliferation; Slow growth storage Publisher An entity responsible for making the resource available Elsevier B.V. Relation A related resource ISSN: 2546299; CODEN: SAJBD Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Kim, Ye-Won; Lee, Han-Sol; Murthy, Hosakatte Niranjana; Lee, Hyoshin; Park, So-Young Title A name given to the resource An in vitro slow-growth callus conservation strategy for several medicinal plants using response surface methodology and machine 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 BMC Biotechnology;Volume;26;Issue;1;Article No.;49; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1186/s12896-026-01129-x" target="_blank" rel="noreferrer noopener">https://doi.org/10.1186/s12896-026-01129-x</a> <a href="https://www.scopus.com/pages/publications/105036335427?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105036335427?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 Kim Y.-W., Department of Horticultural Science, Division of Animal, Horticultural and Food Sciences, Chungbuk National University, Cheongju, 28644, South Korea; Lee H.-S., Department of Horticultural Science, Division of Animal, Horticultural and Food Sciences, Chungbuk National University, Cheongju, 28644, South Korea; Murthy H.N., Department of Horticultural Science, Division of Animal, Horticultural and Food Sciences, Chungbuk National University, Cheongju, 28644, South Korea, Department of Life Sciences, Christ University, Bengaluru, 560029, India; Lee H., Department of Horticultural Science, Division of Animal, Horticultural and Food Sciences, Chungbuk National University, Cheongju, 28644, South Korea; Park S.-Y., Department of Horticultural Science, Division of Animal, Horticultural and Food Sciences, Chungbuk National University, Cheongju, 28644, South Korea Description An account of the resource Background: In vitro culture of callus is an effective method for conserving the genetic resources of economically important crops. However, continuous subculturing is a costly and labor-intensive process. Therefore, establishing an efficient in vitro long-term conservation system applicable to various plant species is required. In this study, calli derived from five medicinal plant species, Camellia japonica (Cj), Centella asiatica (Ca), Ligusticum afficinale (Lo), Panax ginseng (Pg), and Sageratia thea (St) were used to optimize storage conditions and establish a suitable in vitro conservation strategy. Calli cultures were maintained on the appropriate culture medium at 5C for 120 days. Cell viability and regrowth rate were assessed during the storage period, and correlations between growth and antioxidant traits were examined. Subsequently, pretreatment optimization using sucrose (39%), MeJA (0-200 M), and CTR (020mg/L) was performed using RSM, and the effects of pretreatment and storage temperature on callus conservation were evaluated. In addition, machine learning models such as GRNN, MLP, RF, SVR, and XGBoost were applied to the experimental data. Results: The findings demonstrated that, in comparison to Ca and St, Lo, Pg, and Cj exhibited noticeably higher antioxidant capacity while maintaining high cell viability and regrowth rates. Interestingly, Ca and St drastically decreased viability and regrowth after 60 days, whereas Lo, Pg, and Cj maintained viability and regeneration for up to 90 days. Both TPC and AC (measured by FRAP assay) showed a high positive correlation with cell viability and growth rate, according to correlation analysis. RSM predicted that the optimal pretreatment medium for enhancing antioxidant capacity was the species-specific proliferation medium supplemented with 3% sucrose, 135 M MeJA, and 20mg/L CTR, while the highest TSSC was achieved using the species-specific proliferation medium supplemented with 9% sucrose and 200 M MeJA. When the storage temperature was set to 15C following the antioxidant-enhancing pretreatment derived from the RSM optimization, all five species showed improved cell viability and regrowth rates, among the storage methods. Among the ML models tested, XGBoost demonstrated the most stable and accurate predictive performance for both viability and regrowth during in vitro conservation. SHAP-based analysis of the XGBoost model, focusing on regrowth rate, revealed that storage duration was the most influential factor affecting regrowth prediction, followed by storage temperature, while pretreatment conditions showed secondary but meaningful contributions. Conclusions: This study demonstrates that long-term callus conservation is closely associated with AC and TPC. Medium supplemented with sucrose 3%, 135 M MeJA, and 20mg/L CTR, followed by storage at 15C, significantly improved viability and regrowth, and calli could be maintained up to 120 days without subculturing. This approach provides an efficient and broadly applicable in vitro strategy for the conservation of diverse plant genetic resources. The Author(s) 2026. Subject The topic of the resource Antioxidant capacity; Citric acid; In vitro conservation; Methyl jasmonate; Plant cell culture; Response surface methodology Publisher An entity responsible for making the resource available BioMed Central Ltd Relation A related resource ISSN: 14726750; CODEN: BBMIE 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 Kim, Yong-Woon; Byun, Yung-Cheol; Krishna, Addapalli V.N.; Krishnan, Balachandran Title A name given to the resource High-speed portrait video segmentation using the hybrid combination of deep-learning models and boundary movement adjustment 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 Engineering Applications of Artificial Intelligence;Volume;155;Issue;;Article No.;111077; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.engappai.2025.111077" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.engappai.2025.111077</a> <a href="https://www.scopus.com/pages/publications/105005080347?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105005080347?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 Kim Y.-W., Department of Data Science, CHRIST (Deemed to be University) Lavasa, Pune, India; Byun Y.-C., Department of Computer Engineering, Major of Electronic Engineering, Jeju National University, Jeju, South Korea; Krishna A.V.N., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India; Krishnan B., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India Description An account of the resource As global warming intensifies, the development of energy-efficient Artificial Intelligence (AI) technologies has become crucial. Additionally, the growing demand for on-device AI in smartphones, extended reality devices, and autonomous vehicles necessitates AI systems that can function effectively on low-performance hardware. To address these needs, this study proposes hybrid methods in the field of Portrait Video Segmentation (PVS). Our proposed hybrid models leverage Deep-learning based Segmentation Models (DSMs) and a novel Boundary Movement Adjustment (BMA) process to achieve speed and accuracy balance. The Hybrid Serial Model (HSM) not only accelerates PVS but also improves energy efficiency while maintaining a similar level of accuracy. On the other hand, the Hybrid Parallel Model (HPM) enables high-performance PVS even on low-performance devices, ensuring no video frames are lost during high-speed segmentation processing. Tests conducted on Jetson Nano, Raspberry Pi, and a desktop PC demonstrate the effectiveness of these models, showing improvements in PVS speed while maintaining accuracy close to that of traditional DSMs. HSM increased PVS speed from 15.2 Frames Per Second (FPS) to 25.1 FPS on a desktop PC with a 0.5 % accuracy loss, and from 6.3 FPS to 16.5 FPS on a Jetson Nano with a 1 % loss. HPM reached 30 FPS on a desktop PC with a 0.05 % loss, and 29.7 FPS on a Jetson Nano with a 1 % loss. On the Raspberry Pi, the HPM method improved speed from 2.9 FPS to 29.8 FPS, demonstrating its adaptability for low-performance devices. 2025 Elsevier Ltd Subject The topic of the resource CO2 emissions; Deep-learning; Energy-efficiency; Global warming; Hybrid; Portrait video segmentation Publisher An entity responsible for making the resource available Elsevier Ltd Relation A related resource ISSN: 9521976; CODEN: EAAIE 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 Customers satisfaction towards online banking services of public sector banks Subject The topic of the resource Banking services; Customer preference; Customer satisfactions; Online banking Description An account of the resource At present the banking industry around the world has been undergoing a rapid transformation. The deepening of information technology has facilitated better tracking and fulfillment of commitments, multiple delivery channels for online customers and faster resolution of issues. Customer satisfaction is important criteria for banks sustenance, now banks are offers online banking services according to the customer needs and requirements. This study analysed customers satisfactions towards online banking services of public sector banks in Tiruchirappalli district. It is understand from the present study that bank websites and technology platforms has to offer various knowledge features on financial services. To retain the existing customers, banks has to conduct regular surveys on the customer satisfaction. The results of the study shows that variables like prompt response, security and Website design and ease of use are top three factors affected customer satisfaction. IJSTR 2020. Creator An entity primarily responsible for making the resource Kiran G.; Appasaba L.V.; Raja M.; Muthu Gopalakrishnan M.; Chotai N. Source A related resource from which the described resource is derived International Journal of Scientific and Technology Research, Vol-9, No. 4, pp. 3368-3372. Publisher An entity responsible for making the resource available International Journal of Scientific and Technology Research Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083528216&partnerID=40&md5=f1acf001535eb45d98565fa49c609c10" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083528216&partnerID=40&md5=f1acf001535eb45d98565fa49c609c10</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 22778616 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 Kiran G., Welingkar Institute of Management, India; Appasaba L.V., Department of MBA, VTU Belagavi, India; Raja M., Research Department of Commerce, Bharathidasan University Constituent College, Tiruchirappalli, Kumulur, Lalgudi, India; Muthu Gopalakrishnan M., School of Business Studies and Social Sciences Christ (Deemed to be University, Bengaluru, 567006, India; Chotai N., Jain 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 The role of business development management consultants in construction industry in India Subject The topic of the resource Business; Construction; Consultants.; Development; Management Description An account of the resource The Indian construction industry is in boom in terms of the growth and development taking place in the field of infrastructure and the service sector and subsequently many public owned design, architecture, construction and engineering companies were set up in India. The current study emphasises on the role of business development management consultants in the overall performance of construction companies and the existing review of literature focuses on the various factors which affects the overall business performance of the construction companies which includes different variables considering all the existing studies this study identified the gap in terms of intervention of BDMC in the construction field. The methodology adopted for the study is quantitative exploratory research and the results of the study was very positive that the promoters believe that the business development management consultants contribute a lot in the overall performance of the construction company with their expertise in the field and professional way of dealing with the other stake holders of the company helps them to perform very effectively and efficiently. This study helped in getting the practical exposure to the working of construction companies and understanding the role of business development management consultants. The Author(s) 2019. Creator An entity primarily responsible for making the resource Kiran G.; Chotai N.; Appasab L.V.; Gopalakrishna M.; Nero A. Source A related resource from which the described resource is derived International Journal of Management and Business Research, Vol-9, No. 2, pp. 130-137. Publisher An entity responsible for making the resource available Islamic Azad University 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="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075393184&partnerID=40&md5=6a43588360c8e6837ae3d718da00fcf9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075393184&partnerID=40&md5=6a43588360c8e6837ae3d718da00fcf9</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 22287019 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 Kiran G., Welingkar Institute of Management Development and Research, India; Chotai N., Christ University, India; Appasab L.V., Department of MBA, VTU-Belgaum, India; Gopalakrishna M., Christ University, India; Nero A., Welingkar Institute of Management Development and Research, 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 Effectiveness of information and communication technologies on the learning outcomes of management graduates in public and private sector institutes Subject The topic of the resource ICT; Learning; Teaching Description An account of the resource In most of the countries, information and communication technology (ICT) has a made a strong impact on the development of educational sector and it is considered to be the strongest pedagogy in delivering the communication effectively. This is the era of Information and Communication and to increase the efficiency and effectiveness of Education sector the role of ICT is indispensable. The performance of the students can be made better with the help of information and communication technology (ICT). ICT will help the students to gather the information very effectively and help in in developing their knowledge skills as well as to improve their learning skills. To understand the effectiveness and also the impact of ICT in Education sector especially in management education, for the current study the data is been collected from 158 respondents who are MBA graduates from 15 B-schools from Bangalore city, the study is being conducted with the help of convenient sampling from various B-schools from Bangalore city. The study has shown that the learning and teaching through ICT improves the knowledge and learning skills of students. This indicates that existence of ICT is improving the educational efficiency among the management graduates in Bangalore city. 2019, Institute of Advanced Scientific Research, Inc. All rights reserved. Creator An entity primarily responsible for making the resource Kiran G.; Chotai N.; Gopalakrishna M.; Pradeep Source A related resource from which the described resource is derived Journal of Advanced Research in Dynamical and Control Systems, Vol-11, No. 4 Special Issue, pp. 738-743. Publisher An entity responsible for making the resource available Institute of Advanced Scientific Research, 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="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070413652&partnerID=40&md5=befe9641c075294dd95642206cd47c09" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070413652&partnerID=40&md5=befe9641c075294dd95642206cd47c09</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 1943023X 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 Kiran G., Welingkar Institute of Management Development & Research, India; Chotai N., Jain University, India; Gopalakrishna M., Christ University, India; Pradeep, Malnad Hi-Tech Diagnostics 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 Biodiesel Production from Waste Cooking Oil by Box Behnken Design Using Response Surface Methodology Subject The topic of the resource Box-Behnken method; Response Surface Methodology.; Transesterification; Waste cooking oil (WCO) Description An account of the resource Interest in Biodiesel production has grown over the years due to concerns related to the environment, and the solutions include deriving energy from waste as the replacement for diesel, a petroleum-derived fuel. Biodiesel has been accepted as a "green fuel" as it is a renewable, non-toxic, safe and biodegradable energy material. The utilisation of waste cooking oil (WCO) by converting it into biodiesel is one of the promising alternatives to diesel. An attempt to optimise the biodiesel production from WCO (a waste material) has been made via this study. The process adopted was Trans-esterification of pretreated WCO, and the optimization of biodiesel production was carried out by Box-Behnken method using a response surface methodology. The variations between the analytical and experimental results were within acceptable limits. The response surface methodology resulted in an optimum yield of 96.88% (analytical), which was validated through an experiment within an acceptable error of 0.58%. 2021,International Journal Of Renewable Energy Research.All rights reserved. Creator An entity primarily responsible for making the resource Kiran K.; Hebbar G.S. Source A related resource from which the described resource is derived International Journal of Renewable Energy Research, Vol-11, No. 1, pp. 344-354. Publisher An entity responsible for making the resource available Gazi Universitesi 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="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104017236&partnerID=40&md5=711a3551a2b489232caab61dde4070ca" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104017236&partnerID=40&md5=711a3551a2b489232caab61dde4070ca</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 13090127 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 Kiran K., Alternative Fuels Research Lab, Department of Mechanical and Automobile Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, 560074, Karnataka, India; Hebbar G.S., Alternative Fuels Research Lab, Department of Mechanical and Automobile Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, 560074, Karnataka, India