Zobrazeno 1 - 10
of 1 451
pro vyhledávání: '"Sung G"'
Autor:
Hoon Jang, Hyo J. Kwon, Wu S. Sun, Seongsoo Hwang, In S. Hwang, Sungwoo Kim, Jun H. Lee, Sung G. Lee, Jeong W. Lee
Publikováno v:
Veterinary Medicine and Science, Vol 6, Iss 3, Pp 447-453 (2020)
Abstract We examined the effect of ice‐binding protein derived from Leucosporidium (LeIBP) on the cryopreservation of bull semen and compared it with that derived from previously reported Antifreeze Protein III (AFPIII). Six concentrations of LeIBP
Externí odkaz:
https://doaj.org/article/a2a3be6beda545eba2af7811f8d74605
Publikováno v:
PLoS ONE, Vol 8, Iss 12, p e83347 (2013)
Excessive "excitotoxic" accumulation of Ca(2+) and Zn(2+) within neurons contributes to neurodegeneration in pathological conditions including ischemia. Putative early targets of these ions, both of which are linked to increased reactive oxygen speci
Externí odkaz:
https://doaj.org/article/3fe0711b8904433586199c91c1411dd1
Autor:
Lee, Sung G., Egerstedt, Magnus
This paper presents an approach to externally influencing a team of robots by means of time-varying density functions. These density functions represent rough references for where the robots should be located. To this end, a continuous-time algorithm
Externí odkaz:
http://arxiv.org/abs/1404.0338
Publikováno v:
In Journal of Alloys and Compounds 15 September 2019 801:199-207
Autor:
Yuliya V. Medvedeva, Hong Z. Yin, Afsheen Bazrafkan, Andriy Yeromin, Sung G. Ji, Eli J. Weiss-Hung, Edward Sharman, Alyssa P. Avilez, Niki Maki, Masih A. Rafi, Guilian Tian, Yama Akbari, John H. Weiss
Publikováno v:
The Journal of Neuroscience. 42:5281-5292
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::873a29dcaf145a44fd188f04203f893a
https://doi.org/10.1523/jneurosci.0874-21.2022
https://doi.org/10.1523/jneurosci.0874-21.2022
Autor:
Yoonwon Kook, Young-jin Lee, Chihhao Chu, Ji Soo Jang, Seung Ho Baek, Soong June Bae, Yoon Jin Cha, Gyungyup Gong, Joon Jeong, Sae Byul Lee, Sung Gwe Ahn
Publikováno v:
Breast Cancer Research, Vol 26, Iss 1, Pp 1-10 (2024)
Abstract Background HER2-positivity is an essential marker for therapeutic decisions, while HER2 expression is heterogenous. In recent years, there has been increasing recognition of a subgroup of breast cancer patients who have low levels of HER2 ex
Externí odkaz:
https://doaj.org/article/91133285b09849d58e52027297e31a73
Autor:
Sahyun Pak, Sung Gon Park, Jeonghyun Park, Hong Rock Choi, Jun Ho Lee, Wonchul Lee, Sung Tae Cho, Young Goo Lee, Hanjong Ahn
Publikováno v:
Investigative and Clinical Urology, Vol 65, Iss 6, Pp 551-558 (2024)
Purpose: Semantic segmentation is a fundamental part of the surgical application of deep learning. Traditionally, segmentation in vision tasks has been performed using convolutional neural networks (CNNs), but the transformer architecture has recentl
Externí odkaz:
https://doaj.org/article/0ddbada654af42b8840f399050326aa0
Publikováno v:
BMC Pulmonary Medicine, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background The quantitative analysis of computed tomography (CT) and Krebs von den Lungen-6 (KL-6) serum level has gained importance in the diagnosis, monitoring, and prognostication of interstitial lung disease (ILD). However, the associati
Externí odkaz:
https://doaj.org/article/9d8c60deb5984bcba137899c5d9bc6f7
Publikováno v:
npj Clean Water, Vol 7, Iss 1, Pp 1-6 (2024)
Abstract This study presents a novel analytical method for the quantitative and qualitative analysis of microplastics (MPs) in deionized (DI) water using Raman spectroscopy. Raman peak area ratios of 1295 cm−1 for polyethylene (PE) and 637 cm−1 f
Externí odkaz:
https://doaj.org/article/788c2419c2a449428f0b59db36f4abb6
Autor:
Jung Nam An, Minje Park, Sunghoon Joo, Mineok Chang, Do Hyoung Kim, Dong Geum Shin, Yeongyeon Na, Jwa-Kyung Kim, Hyung-Seok Lee, Young Rim Song, Yeha Lee, Sung Gyun Kim
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Dyskalemia is a common electrolyte abnormality. Since dyskalemia can cause fatal arrhythmias and cardiac arrest in severe cases, it is crucial to monitor serum potassium (K+) levels on time. We developed deep learning models to detect hyperk
Externí odkaz:
https://doaj.org/article/225d62aaef20469da1e7ef6f29214979