Zobrazeno 1 - 10
of 1 096
pro vyhledávání: '"SOYOUNG KIM"'
Autor:
Hyeokjun Kwon, Eunchong Hong, Yong Sup Lee, Jae Hoon Cheong, Hee Jin Kim, Soyoung Kim, Jaesuk Yun
Publikováno v:
Neuroscience Research, Vol 209, Iss , Pp 34-41 (2024)
Over the past decade, new psychoactive substances (NPS) have emerged in the illegal drug market and have continued to attract attention from the international community. Among these, amphetamine-like NPS, classified as stimulants, constitute a signif
Externí odkaz:
https://doaj.org/article/fd0d0ce237214f97b898bd3e581086c3
Autor:
Sajjan Parajuli, Younsu Jung, Sagar Shrestha, Jinhwa Park, Chanyeop Ahn, Kiran Shrestha, Bijendra Bishow Maskey, Tae-Yeon Cho, Ji-Ho Eom, Changwoo Lee, Jeong-Taek Kong, Byung-Sung Kim, Taik-Min Lee, SoYoung Kim, Gyoujin Cho
Publikováno v:
npj Flexible Electronics, Vol 8, Iss 1, Pp 1-11 (2024)
Abstract Despite the roll-to-roll (R2R) gravure printing method emerging as an alternative sustainable technology for fabricating logic circuits based on p- and n-types of single-walled carbon nanotube thin film transistors (p,n-SWCNT-TFTs), the wide
Externí odkaz:
https://doaj.org/article/151ba9bc5f644106ba35b4c425a982e6
Autor:
Ji Eun Na, Yong Eun Park, Jongha Park, Tae-Oh Kim, Jong Hoon Lee, Su Bum Park, Soyoung Kim, Seung Bum Lee, Busan Ulsan Gyeongnam Intestinal Study Group Society (BIGS)
Publikováno v:
BMC Gastroenterology, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background Numerous studies have compared the efficacy of ustekinumab (UST) and anti-TNF agents [infliximab (IFX) or adalimumab(ADA)] in moderate to severe Crohn’s disease (CD) patients. This study aims to compare the efficacy of UST, IFX,
Externí odkaz:
https://doaj.org/article/ad98e252562d411b8aae7a8e00bd0920
Publikováno v:
Frontiers in Psychology, Vol 15 (2024)
This study investigates the dynamics of collaborative characteristics, interpersonal reactivity, and disaster situation responses in non-face-to-face settings, a response mechanism increasingly relevant in the wake of prolonged pandemics. By examinin
Externí odkaz:
https://doaj.org/article/073ea409672f496d947aff5eb0550d15
Publikováno v:
Current Issues in Molecular Biology, Vol 46, Iss 4, Pp 2871-2883 (2024)
Alzheimer’s disease (AD) is a chronic neurodegenerative disease that causes cognitive impairment. Neuroinflammation induced by activated microglia exacerbates AD. Regulatory T cells (Tregs) play roles in limiting neuroinflammation by converting mic
Externí odkaz:
https://doaj.org/article/b3b21e97e5c24090a5adfb29dfe45788
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Mitogen-activated protein kinase kinase kinase kinase 4 (MAP4K4) has recently emerged as a promising therapeutic target in cancer. In this study, we explored the biological function of MAP4K4 in radioresistant breast cancer cells using two M
Externí odkaz:
https://doaj.org/article/1576c2812425494eb616c51d4ceb671b
Publikováno v:
Advanced Science, Vol 11, Iss 22, Pp n/a-n/a (2024)
Abstract H2‐driven microbial electrosynthesis (MES) is an emerging bioelectrochemical technology that enables the production of complex compounds from CO2. Although the performance of microbial fermentation in the MES system is closely related to t
Externí odkaz:
https://doaj.org/article/7bde2a5340fe44b5b3f8c18b06d91274
Autor:
Junha Suk, Yohan Kim, Jungho Do, Garoom Kim, Woojin Rim, Sanghoon Baek, Seiseung Yoon, Soyoung Kim
Publikováno v:
IEEE Journal of the Electron Devices Society, Vol 12, Pp 898-904 (2024)
In this paper, we propose a process-aware analytical gate resistance model for nanosheet field-effect transistors (NSFETs). The proposed NSFET gate resistance is modeled by applying the distributed resistance coefficient, which can be used when curre
Externí odkaz:
https://doaj.org/article/b169c32d94e548189b05ab22127e4800
Autor:
Jinyoung Choi, Hyunjoon Jeong, Sangmin Woo, Hyungmin Cho, Yohan Kim, Jeong-Taek Kong, Soyoung Kim
Publikováno v:
IEEE Journal of the Electron Devices Society, Vol 12, Pp 65-73 (2024)
The artificial neural network (ANN)-based compact model has significant advantages over physics-based standard compact models such as BSIM-CMG because it can achieve higher accuracy over a wide range of geometric parameters. This makes it particularl
Externí odkaz:
https://doaj.org/article/049f485f178443b79577e12895cf46a6
Autor:
Hung Khac Le, Soyoung Kim
Publikováno v:
IEEE Access, Vol 12, Pp 7624-7636 (2024)
This article presents a length-dependent deep neural network (LD-DNN) based channel modeling methodology to predict the frequency response of high-speed channels. The proposed method significantly enhances the model accuracy and design efficiency whi
Externí odkaz:
https://doaj.org/article/64e42e29eb534e26b84a0e516564c94c