Zobrazeno 1 - 10
of 199
pro vyhledávání: '"HuiBin Li"'
Publikováno v:
Agronomy, Vol 14, Iss 11, p 2555 (2024)
With the development of sustainable agriculture, trials on the benefits of the application of organic fertilizers around the world have been conducted. Herein, we investigated the impact of the pure chemical fertilizers (CFs) combined with organic fe
Externí odkaz:
https://doaj.org/article/d704c738078349f38a4e91d64797becb
Autor:
Mengmeng Sun, Jizong Zhang, Zhihui Wang, Jingxin Ran, Yunjie Han, Jianheng Zhang, Huibin Li, Lifeng Zhang
Publikováno v:
Agronomy, Vol 14, Iss 8, p 1767 (2024)
In response to water scarcity in the Bashang area of northwest Hebei Province, a cold and arid region in north China, and to address the diminishing groundwater levels caused by pumping irrigation, this study investigated the impact of rainwater tank
Externí odkaz:
https://doaj.org/article/6c85f7493e574159875b238311d613dd
Publikováno v:
AIP Advances, Vol 13, Iss 12, Pp 125119-125119-7 (2023)
Recently, intelligent sports wearable devices have attracted widespread attention. Hence, we designed a wave-structure triboelectric nanogenerator (W-TENG) for joint monitoring in basketball training. The self-powered pressure sensor is mainly compos
Externí odkaz:
https://doaj.org/article/3195035811c14b94a80809f7dd19f892
Autor:
Huibin Li, Peng Yang, Huaiyang Liu, Xiang Liu, Jianping Qian, Qiangyi Yu, Changxing Geng, Yun Shi
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
IntroductionWith continuously increasing labor costs, an urgent need for automated apple- Qpicking equipment has emerged in the agricultural sector. Prior to apple harvesting, it is imperative that the equipment not only accurately locates the apples
Externí odkaz:
https://doaj.org/article/73bc932cb5184929beef9ddefb281412
Autor:
Qi Zhang, Yifeng Zheng, Jiajia Liu, Xiaoxiao Tang, Yuan Wang, Xianzheng Li, Huibin Li, Xiaoying Zhou, Shiru Tang, Yitao Tang, Xiaoyan Wang, Han He, Tingting Li
Publikováno v:
Cell Death and Disease, Vol 14, Iss 1, Pp 1-14 (2023)
Abstract Currently the clinical efficacy of colorectal cancer (CRC) which is the most common malignant tumors over the world has not reached an ideal level. Cetuximab, the monoclonal antibody targeting the extracellular domain of EGFR, has shown its
Externí odkaz:
https://doaj.org/article/2e18eb27fdec4109a4b6d6e8917af0b7
Publikováno v:
IEEE Access, Vol 10, Pp 100999-101010 (2022)
Recently, Convolutional Neural Networks (CNN) based deep models have been successfully applied to the task of stereo matching. In this paper, we propose a novel deep stereo matching network based on the strategies of dense feature learning and compac
Externí odkaz:
https://doaj.org/article/e984cf52a6aa48d2afabb2f260120715
Autor:
Meng Zhu, XiaoRong Guan, Zhong Li, YunLong Gao, KaiFan Zou, XinAn Gao, Zheng Wang, HuiBin Li, KeShu Cai
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 19 (2022)
In recent years, surface electromyogram signals have been increasingly used to operate wearable devices. These devices can aid to help workers or soldiers to lower the load in the task to boost efficiency. However, achieving effective signal predicti
Externí odkaz:
https://doaj.org/article/c8fd125a9c3b42a286d42f1051c30ab1
Publikováno v:
Horticulturae, Vol 9, Iss 4, p 434 (2023)
The absorption and utilization of NH4+ and NO3− by plant roots is closely related to soil moisture. In this study, we investigated the effect of short-time drought and rewatering on uptake and assimilation of NH4+ and NO3− in 1-year-old Malus hup
Externí odkaz:
https://doaj.org/article/61d7ed6ff7724ac8b54dd03dfc803683
Publikováno v:
BMC Plant Biology, Vol 20, Iss 1, Pp 1-17 (2020)
Abstract Background Identification of genetic diversity in heat tolerance and associated traits is of great importance for improving heat tolerance in cool-season grass species. The objectives of this study were to determine genetic variations in hea
Externí odkaz:
https://doaj.org/article/876236bf4df747a29121696d521814f7
Publikováno v:
Frontiers in Plant Science, Vol 12 (2021)
In recent years, deep-learning-based fruit-detection technology has exhibited excellent performance in modern horticulture research. However, deploying deep learning algorithms in real-time field applications is still challenging, owing to the relati
Externí odkaz:
https://doaj.org/article/8a0628612a8e49a5919662efbb66e5ad