Zobrazeno 1 - 10
of 3 397
pro vyhledávání: '"Sang Mi, An"'
Autor:
Sun-pyo Hong, Sang Mi Lee, Ik Dong Yoo, Jong Eun Lee, Sun Wook Han, Sung Yong Kim, Jeong Won Lee
Publikováno v:
Cancer Imaging, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background Since it has been found that the maximum metabolic activity of a cancer lesion shifts toward the lesion edge during cancer progression, normalized distances from the hot spot of radiotracer uptake to tumor centroid (NHOC) and tumo
Externí odkaz:
https://doaj.org/article/1a7dcb16773746b1beab468f48f49984
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-7 (2024)
Abstract Globally, hip fractures represent a significant and growing public health concern, particularly as the elderly population increases. The timing for surgery following hospitalization for hip fractures is a crucial indicator of acute quality c
Externí odkaz:
https://doaj.org/article/783be64d8dee450393f6194c5b6390d1
Autor:
Sang-Mi Jeong, Jonguk Yang, Youngsoo Kang, Hee Sung Seo, Keumyoung Seo, Taekyung Lim, Sanghyun Ju
Publikováno v:
NPG Asia Materials, Vol 16, Iss 1, Pp 1-12 (2024)
Abstract In this paper, we introduce an innovative approach for generating robotic faces with a thermal signature similar to that of humans and equipping prosthetic or robotic hands with a lifelike temperature distribution. This approach enhances the
Externí odkaz:
https://doaj.org/article/bd9718fc1b6a4dddba9a47165a7163bb
Publikováno v:
HortScience, Vol 59, Iss 10 (2024)
The underlying therapeutic mechanisms of care farming activities have not been addressed using psychophysiological data. We aimed to understand frontal cortex activation in adults during care farming activities and to explore the psychophysiological
Externí odkaz:
https://doaj.org/article/56a79560eda9496f86dbbb01e5ca78d0
Autor:
Dae-hyun Jeong, Sang-Kyu Lee, Moo-Eob Ahn, Sang Mi Kim, Ohk-Hyun Ryu, Kyung Suk Park, Se Gye Shin, Jae Hyun Han
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract Social Network Analysis (SNA) provides a dynamic framework for examining interactions and connections within networks, elucidating how these relationships impact behaviors and outcomes. This study targeted small residential communities in Ga
Externí odkaz:
https://doaj.org/article/5ecdf9be4d014192b6b1e4aaed6d239f
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract This in vitro study aimed to evaluate the feasibility of quantitative light-induced fluorescence (QLF) technology for detecting the presence and severity of microleakage of pit and fissure sealants. The areas of interest (AOIs) were 160 pits
Externí odkaz:
https://doaj.org/article/375eafccc9e74d24845ce789b209127e
Autor:
Jean Hee Kim, Taewon Kim, Woojun Kim, Seong-Hoon Kim, Yun Jeong Hong, Eunyae Lim, Dae Woong Bae, Sang-Mi Noh, Jieun Lee
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract This study aimed to evaluate the incidence and likelihood of antibiotic-associated encephalopathy (AAE), comparing rates among the classes of antibiotics in monotherapy or in combination therapy. We also investigated the associations between
Externí odkaz:
https://doaj.org/article/54ec2f3c9357427693ab64f2072449c3
Autor:
Jeong Won Lee, Hyein Ahn, Ik Dong Yoo, Sun-pyo Hong, Moo-Jun Baek, Dong Hyun Kang, Sang Mi Lee
Publikováno v:
Cancer Imaging, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background Imaging features of colorectal cancers on 2-deoxy-2-[18F]fluoro-d-glucose (FDG) positron emission tomography/computed tomography (PET/CT) have been considered to be affected by tumor characteristics and tumor immune microenvironme
Externí odkaz:
https://doaj.org/article/e70c622e21d84aa5923e19cd0cd4fd87
Autor:
GaRyoung Lee, Sang Mi Lee, Sungyoung Lee, Chang Wook Jeong, Hyojin Song, Sang Yup Lee, Hongseok Yun, Youngil Koh, Hyun Uk Kim
Publikováno v:
Genome Biology, Vol 25, Iss 1, Pp 1-26 (2024)
Abstract Background Oncometabolites, often generated as a result of a gene mutation, show pro-oncogenic function when abnormally accumulated in cancer cells. Identification of such mutation-associated metabolites will facilitate developing treatment
Externí odkaz:
https://doaj.org/article/0467cfd1336a40f8bd499538e746a008
Autor:
Yosoeb Shin, Vikas Palakonda, Sangseok Yun, Il-Min Kim, Seon-Gon Kim, Sang-Mi Park, Jae-Mo Kang
Publikováno v:
IEEE Access, Vol 12, Pp 8187-8197 (2024)
Deep learning models learn powerful representational spaces required for handling complex tasks. Recently, data augmentation techniques, region-level, and image-level augmentation have proved effective in significantly improving deep learning models
Externí odkaz:
https://doaj.org/article/58bf71ee5c204a418053071cfbe4ead6