Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Hongxiang Jia"'
Autor:
Hongxiang Jia, Yanjing Zhou, Anjian Wang, Gaoshang Wang, Tianjiao Li, Chunhui Wang, Wanli Xing, Zhe Ma, Pengyuan Li
Publikováno v:
Frontiers in Energy Research, Vol 10 (2022)
Gallium is deemed to be a critical mineral given its irreplaceable use in consumer electronics and clean energy technologies. China has become a significant consumer of gallium while also playing a leading role in global gallium production, accountin
Externí odkaz:
https://doaj.org/article/a2f40f9993c243a2a62e1c8e521f4216
Publikováno v:
Minerals, Vol 10, Iss 5, p 414 (2020)
The Hongnipo deposit, a newly discovered large copper deposit in the Kangdian copper belt, SW China, is hosted in the Paleoproterozoic Hekou Group. This deposit contains ~4200 Mt of Cu ores, with an average grade of 1.42 wt.% Cu. Orebodies occur main
Externí odkaz:
https://doaj.org/article/205348c0b2b24b75899b9a47dbceb525
Autor:
Xiaoqiang Zhu, Jingbin Wang, Zhenshan Pang, Shimin Zhen, Fan Yang, Jianling Xue, Hongxiang Jia, Guangyao Shi
Publikováno v:
Minerals, Vol 9, Iss 10, p 606 (2019)
The Liyuan gold deposit, located in the central Taihang Mountains, North China Craton, forms an important part of the Taihang polymetallogenic belt. The origin of ore-forming fluids and the genesis of this deposit remains controversial. In this paper
Externí odkaz:
https://doaj.org/article/c7359ce28f884abf99acb2f4bf86345e
Autor:
Chenggui Lin, Xiaofeng Yao, Jingwen Mao, Tingjie Yan, Zhizhong Cheng, Kuifeng Mi, Hongxiang Jia, Lujun Lin
Publikováno v:
Journal of Earth Science. 34:1-19
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5a1e69d9fc43e899a7801da2a49d361
https://doi.org/10.1007/s12583-021-1420-4
https://doi.org/10.1007/s12583-021-1420-4
Publikováno v:
European Workshop on Optical Fibre Sensors (EWOFS 2023).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41fdbed57f8c66616e54318c6da9ab44
https://doi.org/10.1117/12.2678384
https://doi.org/10.1117/12.2678384
Autor:
Kuidong Gao, Xinyu Wang, Hongxin Wei, Shuxue Wang, Weipeng Xu, Xu Li, Liqing Sun, Hongxiang Jiang
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-11 (2024)
Abstract Rock abrasivity is one of the main factors affecting the wear of rock-cutting tools, which is usually quantified by the CERCHAR Abrasivity Index (CAI). Researchers and engineers study tool wear and predict tool life based on the CAI of rocks
Externí odkaz:
https://doaj.org/article/7f6fa9fd3ed84c08a8a9bb344324d79a
Autor:
null Lili Zhang, null Li Zeng, null Hong Liu, null Hongxiang Jia, null Yong Wu, null Chihua He
Publikováno v:
Cellular and molecular biology (Noisy-le-Grand, France). 68(5)
To investigate whether oocyte centrally located cytoplasmic granulation (CLCG) affects embryonic development, blastocyst formation, and pregnancy outcomes in assisted reproductive technology, fifty patients with CLCG in all oocytes were selected as t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::adbfb554637d99e1de14d528788a56cf
https://pubmed.ncbi.nlm.nih.gov/36029502
https://pubmed.ncbi.nlm.nih.gov/36029502
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811683633
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef34f3ac9d3b95c74a2d0c18e74f1f02
https://doi.org/10.1007/978-981-16-8364-0_6
https://doi.org/10.1007/978-981-16-8364-0_6
Publikováno v:
Semiconductor Lasers and Applications XI.
A pre-distortion linearization of frequency modulation based on thermal tuning by iterative learning is proposed. The update algorithm is related both to the residual frequency error and its first-order differential. A narrow linewidth laser with a r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d98c747e4dbaa8a2c58f13245056a771
https://doi.org/10.1117/12.2600550
https://doi.org/10.1117/12.2600550
Publikováno v:
2021 International Conference on Technology and Policy in Energy and Electric Power (ICT-PEP).
The goal is to explore the prediction performance of energy consumption in digital twins of the intelligent factory in the process of urbanization, so that it can provide good guidance for the green development of cities. The digital twin technology
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa742a0f6c7bcc3d90baf0ecbc05e125
https://doi.org/10.1109/ict-pep53949.2021.9601051
https://doi.org/10.1109/ict-pep53949.2021.9601051