Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Moran Z"'
Publikováno v:
Horticultural Plant Journal, Vol 10, Iss 6, Pp 1257-1273 (2024)
Horticultural products such as fruits, vegetables, and tea offer a range of important nutrients such as protein, carbohydrates, vitamins and lipids. However, the present yield and quality do not meet the requirements of the rapid population growth as
Externí odkaz:
https://doaj.org/article/e9dacc9afdff4df18f87c0d2008b7399
Publikováno v:
Shipin gongye ke-ji, Vol 45, Iss 17, Pp 372-379 (2024)
Objective: Based on the inhibitory effect of bacillomycin D (BD) and chitosan (CTS) on Penicillium digitatum, the effect of BD and CTS combination on post-harvest disease control and freshness preservation of sugar oranges was investigated. Method: S
Externí odkaz:
https://doaj.org/article/411b87bd2b094c8e871423535f69e5a9
Autor:
Binlin Da, Wei Wu, Wuhua Guo, Kai Xiong, Chao Chen, Qiao Ke, Moran Zhang, Taishun Li, Jiangqiang Xiao, Lei Wang, Ming Zhang, Feng Zhang, Yuzheng Zhuge
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract This study aimed to perform the first external validation of the modified Child-Turcotte-Pugh score based on plasma ammonia (aCTP) and compare it with other risk scoring systems to predict survival in patients with cirrhosis after transjugul
Externí odkaz:
https://doaj.org/article/e5f6c6aac15941049855baf6413f3708
Akademický článek
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Autor:
Tianyun Shi, Yunxia Yu, Yao Shen, Meili Shen, Yong Du, Meng Zhang, Zhoufang Mei, Yi Ding, Jingjing Feng, Moran Zhu, Fangxia Ge, Qi Zhao, Ruilan Wang, Zhijun Jie
Publikováno v:
Frontiers in Cellular and Infection Microbiology, Vol 14 (2024)
IntroductionThe aim of the study was to describe psittacosis pneumonia and to assess the predictive value of the C-reactive protein/albumin ratio in psittacosis pneumonia for severity.MethodsData on psittacosis pneumonia cases diagnosed using metagen
Externí odkaz:
https://doaj.org/article/7329c75f54e049deb8577d8e0c58e5b9
Intensification of Mesoscale Convective Systems in the East Asian Rainband Over the Past Two Decades
Autor:
Puxi Li, Fengfei Song, Haoming Chen, Jian Li, Andreas F. Prein, Wenxia Zhang, Tianjun Zhou, Moran Zhuang, Kalli Furtado, Mark Muetzelfeldt, Reinhard Schiemann, Chao Li
Publikováno v:
Geophysical Research Letters, Vol 50, Iss 16, Pp n/a-n/a (2023)
Abstract As one of the major producers of extreme precipitation, mesoscale convective systems (MCSs) have received much attention. Recently, MCSs over several hotpots, including the Sahel and US Great Plains, have been found to intensify under global
Externí odkaz:
https://doaj.org/article/0d77cb22c51c40ac901878ab21ae110f
Autor:
Yuhui Qiao, Qingxi Liao, Moran Zhang, Binbin Han, Chengli Peng, Zhenhao Huang, Shaodong Wang, Guangsheng Zhou, Shengyong Xu
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
In this study, we propose a high-throughput and low-cost automatic detection method based on deep learning to replace the inefficient manual counting of rapeseed siliques. First, a video is captured with a smartphone around the rapeseed plants in the
Externí odkaz:
https://doaj.org/article/e5dce568ebc14bd7a32be3223bedf282
Publikováno v:
Revista Peruana de Ginecología y Obstetricia; Vol. 19, Núm. 2 (1973); 67-69
Revista Peruana de Ginecología y Obstetricia
Sociedad Peruana de Obstetricia y Ginecología
instacron:SPOG
Revista Peruana de Ginecología y Obstetricia
Sociedad Peruana de Obstetricia y Ginecología
instacron:SPOG
The study of 50 samples of cervical mucus polarized light used is presented. The method allows to observe clearly the shape of the crystals, the birefringence and dichroism, discriminate between samples crystallization with ordinary microscope would
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::420c6f8b86e4626ab6f5b0716aa2f2cc
http://www.spog.org.pe/web/revista/index.php/RPGO/article/view/777
http://www.spog.org.pe/web/revista/index.php/RPGO/article/view/777
Akademický článek
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Publikováno v:
Agronomy, Vol 12, Iss 12, p 3046 (2022)
Timely harvest can effectively guarantee the yield and quality of rapeseed. In order to change the artificial experience model in the monitoring of rapeseed harvest period, an intelligent prediction method of harvest period based on deep learning net
Externí odkaz:
https://doaj.org/article/d4e644103b5f44a18256d2acdd6f45c6