Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Lu Ming Zhang"'
Publikováno v:
BMC Anesthesiology, Vol 24, Iss 1, Pp 1-8 (2024)
Abstract Background Sepsis-associated acute kidney injury (SA-AKI) is common and associated with poor outcomes in critically ill patients. Acetaminophen is often used as an antipyretic and analgesic drug, but the association of acetaminophen use with
Externí odkaz:
https://doaj.org/article/a7696be1d6ca449688bc5982c30761e5
Autor:
Wen-Ming Shao, Lu-Wei Ye, Lu-ming Zhang, Yu-Long Wang, Hui Liu, Dan He, Jia-Liang Zhu, Jun Lyu, Haiyan Yin
Publikováno v:
BMC Infectious Diseases, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background Sepsis is a common and severe disease with a high mortality rate in intensive care unit (ICU). The hemoglobin (HGB) level is a key parameter for oxygen supply in sepsis. Although HGB is associated with the progression of inflammat
Externí odkaz:
https://doaj.org/article/d88f0df54f0f40da8921c1cd9efce349
Autor:
Yu-Ze Zhao, Xue-Ning Zhang, Yi Yin, Pei-Lun Xiao, Meng Gao, Lu-Ming Zhang, Shuan-Hu Zhou, Shu-Na Yu, Xiao-Li Wang, Yan-Song Zhao
Publikováno v:
International Journal of Ophthalmology, Vol 17, Iss 2, Pp 228-238 (2024)
AIM: To observe the effects of N-acetylserotonin (NAS) administration on retinal ischemia-reperfusion (RIR) injury in rats and explore the underlying mechanisms involving the high mobility group box 1 (HMGB1)/receptor for advanced glycation end-produ
Externí odkaz:
https://doaj.org/article/fc39ad5c34ba47bbbf8548d1a79714b2
Publikováno v:
Translational Psychiatry, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract Selective serotonin reuptake inhibitors (SSRIs) are the most commonly prescribed drugs for mental disorders in critically ill patients. We performed a retrospective cohort study to investigate the association between pre-ICU use of SSRIs and
Externí odkaz:
https://doaj.org/article/771d6f8d0d5344379a7a167b1bf119e1
Autor:
Jia-Liang Zhu, Shi-Qi Yuan, Tao Huang, Lu-Ming Zhang, Xiao-Mei Xu, Hai-Yan Yin, Jian-Rui Wei, Jun Lyu
Publikováno v:
BMC Infectious Diseases, Vol 23, Iss 1, Pp 1-10 (2023)
Abstract Background Numerous studies have investigated the mean arterial pressure in patients with sepsis, and many meaningful results have been obtained. However, few studies have measured the systolic blood pressure (SBP) multiple times and establi
Externí odkaz:
https://doaj.org/article/692073ffe63941338536700a3c7b69a4
Publikováno v:
Applied Bionics and Biomechanics, Vol 2022 (2022)
This paper proposes a fused landscape augmented reality method based on 3D model multiview reconstruction. Based on the principles related to augmented reality technology, the proposed method uses natural features of images for training and extractio
Externí odkaz:
https://doaj.org/article/9b99a562ad974b9ab8ea8c5e5e114b45
Publikováno v:
Applied Bionics and Biomechanics, Vol 2022 (2022)
The machine-driven products processed by CNC machine tools are divided into multiple parts, which are often transmitted to unqualified processing crystals due to the error of the part’s posture, thus affecting the projection effect. Aiming at handl
Externí odkaz:
https://doaj.org/article/d9e0fd2f56f4447884c0a196f819624d
Autor:
Lu-Ming Zhang, Yichuan Sheng
Publikováno v:
Applied Bionics and Biomechanics, Vol 2022 (2022)
Generative adversarial network (GAN)-guided visual quality evaluation means scoring GAN-propagated portraits to quantify the degree of visual distortions. In general, there are very few image- and character-evaluation algorithms generated by GAN, and
Externí odkaz:
https://doaj.org/article/99b4692b5d6849fca91aa151bac34822
Publikováno v:
Journal of Electronic Imaging. 32
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84a96d14161be0be3adc631bb92f879c
https://doi.org/10.1117/1.jei.32.6.062508
https://doi.org/10.1117/1.jei.32.6.062508
Autor:
Fei-Xiang, Wang, Rui, Ji, Lu-Ming, Zhang, Peng, Wang, Tai-Ang, Liu, Lu-Jie, Song, Mao-Wen, Wang, Zhi-Lu, Zhou, Hong-Xia, Hao, Wen-Tao, Xia
Publikováno v:
Fa yi xue za zhi. 38(3)
To reduce the dimension of characteristic information extracted from pelvic CT images by using principal component analysis (PCA) and partial least squares (PLS) methods. To establish a support vector machine (SVM) classification and identification m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::6bcbe6f26bad667e16d621358bd4d3cd
https://pubmed.ncbi.nlm.nih.gov/36221829
https://pubmed.ncbi.nlm.nih.gov/36221829