Zobrazeno 1 - 10
of 709
pro vyhledávání: '"Zhong Pan"'
A novel model to predict phase equilibrium state of hydrates from the relationship of gas solubility
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
The study of hydrate phase equilibrium is crucial for ensuring the safety of natural gas pipeline transportation and the process of hydrate recovery. While scientists typically focus on the chemical potential of hydrates, the role of gas solubility i
Externí odkaz:
https://doaj.org/article/c25935591fe7452fa9c6a1fd3f28869f
Autor:
Shi-Shi Lin, Yuan-Hang Li, Yu-Hong Lu, Hong-Lin Su, Shi-Bin Wu, Qi-Qi Zhang, Mei-Juan Mo, Shao-Jun Xiao, Zhong Pan, Hu-Jun Pan, Zhao-Chi Zeng, Jian Wang
Publikováno v:
Herpetozoa, Vol 35, Iss , Pp 165-178 (2022)
The genus Leptobrachella is a species-rich genus of megophrid frog. Rapid discovery of many new species within this genus emphasizes the importance of regional research. In this study, we describe a new species of Leptobrachella, Leptobrachella verru
Externí odkaz:
https://doaj.org/article/24d5ce22361d4290a21a326f1fb07d1c
Autor:
Shi-Shi Lin, Yuan-Hang Li, Hong-Lin Su, Hui Yi, Zhong Pan, Yan-Jun Sun, Zhao-Chi Zeng, Jian Wang
Publikováno v:
ZooKeys, Vol 1120, Iss , Pp 47-66 (2022)
Karstic landscapes play an important role in biodiversity formation and often contain high levels of endemism. However, site-endemic taxa in karstic landscapes are being threatened by exploitation and weak legal protection. In this study, we describe
Externí odkaz:
https://doaj.org/article/7c6bf6858db54e47a5924fdb49da9bdf
Publikováno v:
Frontiers in Water, Vol 3 (2021)
Upon tangential ultrafiltration and asymmetric flow field analyses, seawater nanoparticle size distribution and the associations with the total number of bacteria and plankton diversity were evaluated. Of the nanoparticles in the Jiulong River Estuar
Externí odkaz:
https://doaj.org/article/4b89069ffd4b4f72a91ee4fa6d4c8777
Autor:
Hsia, Samuel, Gupta, Udit, Acun, Bilge, Ardalani, Newsha, Zhong, Pan, Wei, Gu-Yeon, Brooks, David, Wu, Carole-Jean
Deep learning recommendation systems serve personalized content under diverse tail-latency targets and input-query loads. In order to do so, state-of-the-art recommendation models rely on terabyte-scale embedding tables to learn user preferences over
Externí odkaz:
http://arxiv.org/abs/2302.10872
Autor:
Song, Yonggui, Hu, Zhong-Pan, Feng, Haohao, Chen, Enze, Lv, Le, Wu, Yimo, Liu, Zhen, Jiang, Yong, Su, Xiaozhi, Xu, Feifei, Zhu, Mingchang, Han, Jingfeng, Wei, Yingxu, Mintova, Svetlana, Liu, Zhongmin
Publikováno v:
In Journal of Energy Chemistry October 2024 97:513-519
Publikováno v:
In Materials Today Communications June 2024 39
Publikováno v:
In Applied Mathematics and Computation 1 January 2024 460
Autor:
Gui, Shupeng, Zhang, Xiangliang, Zhong, Pan, Qiu, Shuang, Wu, Mingrui, Ye, Jieping, Wang, Zhengdao, Liu, Ji
Graph node embedding aims at learning a vector representation for all nodes given a graph. It is a central problem in many machine learning tasks (e.g., node classification, recommendation, community detection). The key problem in graph node embeddin
Externí odkaz:
http://arxiv.org/abs/1909.12903
Autor:
Su, Xunming, Hu, Zhong-Pan, Han, Jingfeng, Jia, Yuhong, Xu, Shutao, Zhang, Jin, Fan, Dong, Wei, Yingxu, Liu, Zhongmin
Publikováno v:
In Microporous and Mesoporous Materials 15 January 2023 348