Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Junhyuk Kang"'
Publikováno v:
Sensors, Vol 22, Iss 1, p 174 (2021)
Studies on deep-learning-based behavioral pattern recognition have recently received considerable attention. However, if there are insufficient data and the activity to be identified is changed, a robust deep learning model cannot be created. This wo
Externí odkaz:
https://doaj.org/article/8eb8597803e04fbf99af823ff914e63a
Publikováno v:
Artificial Organs. 47:490-501
Continuous-flow ventricular assist devices (cfVADs) are implanted in patients with end-stage heart failure to assist with blood circulation. However, VAD implantation is associated with dangerous thrombotic complications. Our goal was to determine th
Autor:
Sangdo Yoon, Mi-Yeon Song, Won-Seok Chung, Hyungsuk Kim, Woo-Chul Shin, Taeoh Kim, Whi-Sung Cho, Yeonho Seo, Sangwoo Seo, Joonwon Seo, Junhyuk Kang, Seung-Ho Yu, Seyun Kim, Jae-Heung Cho
Publikováno v:
Journal of Korean Medicine Rehabilitation. 32:141-151
Publikováno v:
ASAIO J
Thrombosis is a major complication that can occur in both blood-contacting devices and regions and in regions of vascular damage. Microfluidic devices are popular templates to model various thrombogenic settings and to assess conditions that lead to
Autor:
Jaehyeon Park, Hyungsuk Kim, Se-Young Choung, Yong Jae Jeon, Hyo Jin Jeon, Sang Jun Youn, Yong Choi, Hong-Seok Cho, Junhyuk Kang, Yeonho Seo, Koh-Woon Kim, Mi-Yeon Song
Publikováno v:
Medicine. 101(39)
This study aimed to propose a protocol to demonstrate the efficacy of Codonopsis lanceolata water extract for the improvement of skeletal muscle mass (SMM) and function (muscle strength or performance function) and its safety compared to a placebo in
Publikováno v:
ASAIO Journal. 68:132-132
Publikováno v:
ASAIO Journal. 68:44-44
Publikováno v:
Langmuir. 34:5581-5591
Stimuli-responsive nanoparticles at fluid interfaces offer great potential for realizing on-demand and controllable self-assembly that can benefit various applications. Here, we conducted electrostatic dissipative particle dynamics simulations to pro