Zobrazeno 1 - 10
of 1 698
pro vyhledávání: '"Anh P. Nguyen"'
Autor:
Anh P. Nguyen, Ingrid A. Binswanger, Komal J. Narwaney, Morgan A. Ford, David L. McClure, Deborah J. Rinehart, Jason A. Lyons, Jason M. Glanz
Publikováno v:
Preventive Medicine Reports, Vol 46, Iss , Pp 102832- (2024)
Objective: Chronic opioid use can lead to detrimental effects on the immune and various organ systems that put individuals prescribed chronic opioid therapy (COT) for pain and those with an opioid use disorder (OUD) at risk for severe COVID-19 diseas
Externí odkaz:
https://doaj.org/article/48f59e09a8604291b2eabeaebeffe48a
Autor:
Nhan Thi Ho, Steve G. Hughes, Rose Sekulovich, Van Thanh Ta, Thuong Vu Nguyen, Anh Thi Van Pham, Quang Chan Luong, Ly Thi Le Tran, Anh Thi Van Luu, Anh Ngoc Nguyen, Ha Thai Pham, Van Thu Nguyen, Dina Berdieva, Roberto Bugarini, Xuexuan Liu, Carole Verhoeven, Igor Smolenov, Xuan-Hung Nguyen
Publikováno v:
npj Vaccines, Vol 9, Iss 1, Pp 1-10 (2024)
Abstract This phase 3 trial compared safety, tolerability, immunogenicity and efficacy of the self-amplifying mRNA COVID-19 vaccine, ARCT-154, with ChAdOx1-S adenovirus-vector vaccine. In four centers in Vietnam adult participants aged 18‒85 years
Externí odkaz:
https://doaj.org/article/fdddba0ead384e6c8dc2db3519c6fd32
Autor:
Vu, Anh-Khoa Nguyen, Do, Thanh-Toan, Nguyen, Vinh-Tiep, Le, Tam, Tran, Minh-Triet, Nguyen, Tam V.
Few-shot object detection aims to simultaneously localize and classify the objects in an image with limited training samples. However, most existing few-shot object detection methods focus on extracting the features of a few samples of novel classes
Externí odkaz:
http://arxiv.org/abs/2308.15005
Autor:
Vu, Anh-Khoa Nguyen, Do, Thanh-Toan, Nguyen, Nhat-Duy, Nguyen, Vinh-Tiep, Ngo, Thanh Duc, Nguyen, Tam V.
Few-shot learning is proposed to tackle the problem of scarce training data in novel classes. However, prior works in instance-level few-shot learning have paid less attention to effectively utilizing the relationship between categories. In this pape
Externí odkaz:
http://arxiv.org/abs/2304.07459
Autor:
Nguyen, Thanh-Danh, Vu, Anh-Khoa Nguyen, Nguyen, Nhat-Duy, Nguyen, Vinh-Tiep, Ngo, Thanh Duc, Do, Thanh-Toan, Tran, Minh-Triet, Nguyen, Tam V.
Camouflaged object detection and segmentation is a new and challenging research topic in computer vision. There is a serious issue of lacking data on concealed objects such as camouflaged animals in natural scenes. In this paper, we address the probl
Externí odkaz:
http://arxiv.org/abs/2304.07444
Autor:
Duy Nguyen Vo, Van Tan Luu Ngo, Thi Phuong Vy Le, Nguyen Ngoc Huyen Van, Duc Anh Phuc Nguyen, Van Tuan Kiet Ngo, Thanh Thang Truong, Tan Tai Pham, Nhat Minh Dinh, Thai Ngoc Ho, Tan Tran Minh Khang Nguyen
Publikováno v:
Tạp chí Khoa học Đại học Đà Lạt, Vol 14, Iss 3 (2024)
Food classification has always piqued the interest of both domestic and international researchers, but numerous challenges remain. We present the dataset UIT-TASTET21, which contains over 77,000 color images of 18 traditional Vietnamese Lunar New Yea
Externí odkaz:
https://doaj.org/article/e63325a8aa3240ffbf30437fad40d80c
Publikováno v:
IEEE Access, Vol 12, Pp 169683-169719 (2024)
By implementing new technologies, university technology transfer (UTT) is crucial for economic advancement. However, developing countries face numerous challenges regarding UTT. This study proposes a unique approach by combining Multi-Criteria Decisi
Externí odkaz:
https://doaj.org/article/d8335d27aed541bcb213659b2025944c
Akademický článek
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Akademický článek
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Publikováno v:
Journal of Oral Biology and Craniofacial Research, Vol 13, Iss 3, Pp 442-447 (2023)
Objective: To evaluate and compare the oral neutrophil numbers (ONN) in saliva, the level of matrix metalloproteinase-8 (MMP-8) in gingival crevicular fluid (GCF) and the periodontal parameters in smokers versus non-smokers with periodontitis, before
Externí odkaz:
https://doaj.org/article/8fa4af6612ca4314bff4a6fd49163eab