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Xianshan Liu, Xiaolei Luo, Shaowei Liu, Pugang Zhang, Man Li and Yuhua Pan
The study of the seepage and heat transfer law of three-dimensional rough fractures is of great significance in improving the heat extraction efficiency of underground thermal reservoirs. However, the phase transition effects of fluids during the thermal...
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Xiaoshun Zhao, Zhuangzhuang Hou, Jizong Zhang, Huali Yu, Jianjun Hao and Yuhua Liu
In order to improve the quality of transplanting devices and solve the problems of the poor effect on soil moisture conservation and more weeds easily growing due to the high mulching-film damage rate with an excessive number of hole openings, we develop...
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Jianghua Ye, Qi Zhang, Miao Jia, Yuhua Wang, Ying Zhang, Xiaoli Jia, Xinyu Zheng and Haibin Wang
Rock zones have an important influence on the yield and quality of Wuyi rock tea. In this study, OPLS-DA combined with machine learning was used to analyze the effects of different rock zones and tea tree varieties on the physicochemical properties of rh...
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Weijun Wang, Yuxin Cui, Chenkun Qi, Yanyan Cao, Yuhua Zhang, Chongfeng Zhang and Shigang Wang
In this paper, a pawl composite linkage transfer mechanism is designed for the automatic in-orbit sample transfer mission of Chang?E-5 lunar sample return mission, which can realize the sample container in-orbit transfer under various critical constraint...
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Xiuguo Zou, Zheng Liu, Xiaochen Zhu, Wentian Zhang, Yan Qian and Yuhua Li
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Zhihui Li, Xin Fang, Tong Zhen and Yuhua Zhu
Wheat production safety is facing serious challenges because wheat yellow rust is a worldwide disease. Wheat yellow rust may have no obvious external manifestations in the early stage, and it is difficult to detect whether it is infected, but in the midd...
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Shijie Shan, Jianming Zheng, Kai Wang, Ting Chen and Yuhua Shi
Aiming at the problems of the low detection accuracy and difficult identification of the early weak fault signals of rolling bearings, this paper proposes a method for detecting the early weak fault signals of rolling bearings based on a double-coupled D...
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Qi Zhang, Yuhua Wang, Yiling Chen, Ying Zhang, Meihui Chen, Jishuang Zou, Pengyao Miao, Jianghua Ye, Xiaomin Pang, Xiaoli Jia and Haibin Wang
Pruning is an agronomic practice that contributes to tea tree yield during cultivation, but little is known about how pruning improves yield through shifting bacterial communities in rhizosphere soil. Therefore, Meizhan tea (Camellia sinensis) was used a...
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Yuhua Wang, Qi Zhang, Jianjuan Li, Shaoxiong Lin, Xiaoli Jia, Qingxu Zhang, Jianghua Ye, Haibin Wang and Zeyan Wu
In order to fully comprehend the impact of soil acidification on the quality of tea, further analyses are essential and are of the utmost importance to the cultivation of tea trees and the simultaneous enhancement of tea quality. In May 2022, Tieguanyin ...
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Yunwei Xiong, Yuhua Li, Chenyang Wang, Hanqing Shi, Sunyuan Wang, Cheng Yong, Yan Gong, Wentian Zhang and Xiuguo Zou
As a non-destructive detection method, an electronic nose can be used to assess the freshness of meats by collecting and analyzing their odor information. Deep learning can automatically extract features and uncover potential patterns in data, minimizing...
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