Zobrazeno 1 - 10
of 60
pro vyhledávání: '"MENGZHU YU"'
Autor:
Bo Wang, Yue Wu, Jie Shao, Rui Cheng, Zuming Yang, Yan Xu, Guihua Shu, Hong Li, Huaiyan Wang, Jinlan Cai, Jinjun Zhou, Li Ye, Mengzhu Yu, Qin Zhou, Shuping Han, Songlin Liu, Xiaoqing Chen, Xinping Wu, Xiaoping Yin, Yan Gao, Zhidan Bao, Zhenguang Li, Zhaojun Pan, Zhengying Li
Publikováno v:
Heliyon, Vol 10, Iss 17, Pp e37437- (2024)
Background: Neonatal respiratory failure (NRF) is a critical condition with high morbidity and mortality rates. This study aimed to develop a nomogram prediction model to early predict the risk of death in Chinese neonates with NRF. Methods: A retros
Externí odkaz:
https://doaj.org/article/718c9b2a27434c0a86065c98f617796f
Autor:
Xiaowei Xu, Ying Wang, Xinkai Luo, Xuerong Gao, Weifeng Gu, Yongbin Ma, Lili Xu, Mengzhu Yu, Xi Liu, Jiameng Liu, Xuefeng Wang, Tingting Zheng, Chaoming Mao, Liyang Dong
Publikováno v:
Frontiers in Immunology, Vol 14 (2023)
Mesenchymal stromal cell-derived extracellular vesicles (MSC-EVs) are extremely promising nanoscale cell-free therapeutic agents. We previously identified that intravenous administration (IV) of human umbilical cord MSC-EVs (hUCMSC-EVs), especially h
Externí odkaz:
https://doaj.org/article/9540690c11c64005867595b5f8a7b5c7
Autor:
Mengzhu Yu, Mingyue Du
Publikováno v:
Mathematics, Vol 10, Iss 18, p 3257 (2022)
We consider a regression analysis of multivariate interval-censored failure time data where the censoring may be informative. To address this, an approximated maximum likelihood estimation approach is proposed under a general class of semiparametric
Externí odkaz:
https://doaj.org/article/a8f228591dbb487f8e2ba78e6b00fba7
Publikováno v:
Mathematical Biosciences and Engineering, Vol 16, Iss 5, Pp 6103-6120 (2019)
Robustness is an important property of image hashing. Most of the existing hashing algorithms do not reach good robustness against large-angle rotation. Aiming at this problem, we jointly exploit visual attention model and ring partition to design a
Externí odkaz:
https://doaj.org/article/80010fdd57614faea9c5405cf25b903e
Publikováno v:
BioResources, Vol 11, Iss 4, Pp 10314-10328 (2016)
Effects of metal salt catalysts and gasification temperature on the gasification characteristics of combustible solid waste were studied, based on the source-classified waste in a fluidized bed gasifier, to provide guidance for utilizing the source-c
Externí odkaz:
https://doaj.org/article/28acb9942e8646c29210b427db066723
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 32:7559-7574
Autor:
Mingrui Zhuang, Zhonghua Chen, Hongkai Wang, Hong Tang, Jiang He, Bobo Qin, Yuxin Yang, Xiaoxian Jin, Mengzhu Yu, Baitao Jin, Taijing Li, Lauri Kettunen
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery. 18:379-394
Purpose Training deep neural networks usually require a large number of human-annotated data. For organ segmentation from volumetric medical images, human annotation is tedious and inefficient. To save human labour and to accelerate the training proc
Publikováno v:
ACM Transactions on Multimedia Computing, Communications & Applications; Jan2024, Vol. 20 Issue 1, p1-22, 22p
Publikováno v:
ACM Transactions on Multimedia Computing, Communications, and Applications.
Robust hashing is a powerful technique for processing large-scale images. Currently, many reported image hashing schemes do not perform well in balancing the performances of discrimination and robustness and thus they cannot efficiently detect image
Autor:
Yueyue Lou, Penghua Shu, Fugang Xiao, Huiqing Zhu, Mengzhu Yu, Ting Xu, Yuehui Luo, Yamin Li, Yingying Fei, Jihong Huang
Publikováno v:
Records of Natural Products. :417-425