Zobrazeno 1 - 10
of 132
pro vyhledávání: '"Jin‐Peng Liu"'
Autor:
Mei Liu1,2,3, Jin-Peng Liu1,2,3,4, Pan Wang1,2,3,4, Ya-Jing Fu1,2,3,4, Min Zhao2,5, Yong-Jun Jiang2,3,4, Zi-Ning Zhang1,2,3,4 zi_ning101@hotmail.com, Hong Shang1,2,3,4,5
Publikováno v:
Archives of Pathology & Laboratory Medicine. Nov2024, Vol. 148 Issue 11, p1234-1243. 10p.
Autor:
Junyu Liu, Minzhao Liu, Jin-Peng Liu, Ziyu Ye, Yunfei Wang, Yuri Alexeev, Jens Eisert, Liang Jiang
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-6 (2024)
Abstract Large machine learning models are revolutionary technologies of artificial intelligence whose bottlenecks include huge computational expenses, power, and time used both in the pre-training and fine-tuning process. In this work, we show that
Externí odkaz:
https://doaj.org/article/280da3c96c15499cb7a5adc603d1bc07
Autor:
Zhao-Hui Yang, Jia-Wen Hao, Jin-Peng Liu, Bo Bao, Tu-Ling Li, Qiu-Xin Wu, Ming-Guang He, Hong-Sheng Bi, Da-Dong Guo
Publikováno v:
International Journal of Ophthalmology, Vol 16, Iss 12, Pp 1942-1951 (2023)
AIM: To investigate the effect of electroacupuncture (EA) on the mitochondria-dependent apoptotic signaling pathway in the ciliary muscle of guinea pigs with negative lens-induced myopia (LIM). METHODS: Guinea pigs were randomly divided into normal c
Externí odkaz:
https://doaj.org/article/3613bfe9ef8b458b84d10c0293a7bbaa
Publikováno v:
Guoji Yanke Zazhi, Vol 23, Iss 11, Pp 1811-1815 (2023)
The occurrence and development of many eye diseases are closely related to genetic and environmental factors, among which epigenetic modification is an important bridge connecting genetic and environmental factors. It can affect the levels of related
Externí odkaz:
https://doaj.org/article/6e176296abf04a6ba04d8989f84eecdf
Autor:
Xian-ding Wang, Shi-jian Feng, Jin-peng Liu, Tu-run Song, Zhong-li Huang, Yu Fan, Yun-ying Shi, Li-yu Chen, Yuan-hang Lv, Zi-lin Xu, Xiao-hong Li, Li Wang, Tao Lin
Publikováno v:
BMC Infectious Diseases, Vol 21, Iss 1, Pp 1-11 (2021)
Abstract Background In order to reduce the burden on organ shortage around the world, using potential infectious donor might be an option. However, scarce evidences have been published on kidney transplantation (KTx) from hepatitis B surface antigen
Externí odkaz:
https://doaj.org/article/da0c16548cb8428186087d145b8181ed
Publikováno v:
Quantum, Vol 6, p 860 (2022)
Quantum simulation is a prominent application of quantum computers. While there is extensive previous work on simulating finite-dimensional systems, less is known about quantum algorithms for real-space dynamics. We conduct a systematic study of such
Externí odkaz:
https://doaj.org/article/9a17bef1639a43c985957a582ac8a389
Autor:
Tu‐Run Song, Ya‐Mei Jiang, Jin‐Peng Liu, Zhi‐Ling Wang, Jun Zeng, Zhong‐Li Huang, Yu Fan, Xian‐Ding Wang, Tao Lin
Publikováno v:
Kaohsiung Journal of Medical Sciences, Vol 35, Iss 6, Pp 350-357 (2019)
Abstract The present study is aimed to assess the safety and efficacy of steroid withdrawal or avoidance (SWA) in high‐risk kidney transplant (HRKT). We performed a systematic review of the literature and pooled analysis of the available data conce
Externí odkaz:
https://doaj.org/article/57feb7c43c054b0795030c78909f9c50
Publikováno v:
Quantum, Vol 5, p 574 (2021)
Quantum computers can produce a quantum encoding of the solution of a system of differential equations exponentially faster than a classical algorithm can produce an explicit description. However, while high-precision quantum algorithms for linear or
Externí odkaz:
https://doaj.org/article/fd5b1323d391416f8b295dc5981b37d7
Publikováno v:
Kaohsiung Journal of Medical Sciences, Vol 34, Iss 1, Pp 1-13 (2018)
Renin-angiotensin system inhibitors, specifically angiotensin II converting enzyme inhibitors (ACEI) and angiotensin II receptor blockers (ARB), have confirmed renoprotective benefits in patients with proteinuria and hypertension. However, it remains
Externí odkaz:
https://doaj.org/article/a819f2f75c524aa0aa3f1ad103ca3a3a
Large machine learning models are revolutionary technologies of artificial intelligence whose bottlenecks include huge computational expenses, power, and time used both in the pre-training and fine-tuning process. In this work, we show that fault-tol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e286733cffdd08c2eaa146a757f6254
https://doi.org/10.21203/rs.3.rs-2860733/v1
https://doi.org/10.21203/rs.3.rs-2860733/v1
