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Taotao Zhao, Xinqiang Zhu, Hongshan Yang, Yonggang Wang, Feifan Leng and Xiaoli Wang
Volatile components are one key factor in sample identification, differential analysis, quality control and origin traceability. In order to identify and analyze the differences in volatile substances in different alfalfa seeds, this study used gas chrom...
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Yan Wang, Nan Guan, Jie Li and Xiaoli Wang
Fourier ptychographic microscopy (FPM) is a computational imaging technology that has endless vitality and application potential in digital pathology. Colored pathological image analysis is the foundation of clinical diagnosis, basic research, and most b...
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Yayi Wang, Rong Zhang, Songling Li, Xinnian Guo, Quanhui Li, Xiaoli Hui, Zhaohui Wang and Huixia Wang
Unreasonable fertilization often fails to match crop yield and nutrient requirements, leading to low crop yield, the waste of mineral resources, and increased costs for farmers. A survey of the potato yield and fertilization of farmers was conducted in H...
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Yi Tan, Xiaoli Wang and Xiaoyu Fu
In this paper, we empirically examine the impact of venture capital investment on the dividend policy of the invested companies using a sample of list companies from China?s ChiNext market during the period 2014 to 2019. Our empirical results show that d...
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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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Xiaomin Pang, Meihui Chen, Pengyao Miao, Weiting Cheng, Zewei Zhou, Ying Zhang, Qi Zhang, Jianghua Ye, Xiaoli Jia and Haibin Wang
This study explores the interaction between pear fruit quality and the soil environment over four different planting years (5, 20, 30, and 40 years), focusing on the fruit?s chemical properties, rhizosphere soil properties, microbial communities, and bot...
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Yingxiang Zhao, Lumei Zhou, Xiaoli Wang, Fan Wang and Gang Shi
Cracks are a common type of road distress. However, the traditional manual and vehicle-borne methods of detecting road cracks are inefficient, with a high rate of missed inspections. The development of unmanned aerial vehicles (UAVs) and deep learning ha...
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Xiaoli Liang, Yanpeng Xu, Liang Yin, Ruiming Wang, Piwu Li, Junqing Wang and Kaiquan Liu
The pulp and paper industry plays an important role in the global economy and is inextricably linked to human life. Due to its large scale, the production process generates a large amount of wastewater, which poses a major threat to the environment. The ...
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Tianle Li, Minrui Zheng, Xiaoli Wang and Xinqi Zheng
Urban function evolution (UFE) has become more and more complex in emerging cities. However, insufficient theoretical support exists for the visual expression of the spatial correlation between UFE patterns. In order to fill this gap, we use the 2013 and...
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Qinmeng Yang, Ningming Nie, Yangang Wang, Xiaojing Wu, Weihua Liu, Xiaoli Ren, Zijian Wang, Meng Wan and Rongqiang Cao
Gross primary productivity (GPP) is an important indicator in research on carbon cycling in terrestrial ecosystems. High-accuracy GPP prediction is crucial for ecosystem health and climate change assessments. We developed a site-level GPP prediction meth...
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