Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Longlong Zhan"'
Autor:
Longlong Zhan, Yue Wang, Huicong Chang, Richard Stehle, Jie Xu, Libo Gao, Wanli Zhang, Yi Jia, Fangzhu Qing, Xuesong Li
Publikováno v:
Nanoscale Research Letters, Vol 13, Iss 1, Pp 1-6 (2018)
Abstract As grown graphene by chemical vapor deposition typically degrades greatly due to the presence of grain boundaries, which limit graphene’s excellent properties and integration into advanced applications. It has been demonstrated that there
Externí odkaz:
https://doaj.org/article/6e7693defbb642179070bd39ae076b80
Autor:
Ting Ding, Xiao Li, Longlong Zhang, Zhen Wei, Chaoliang Xiong, Hong Wang, Xiaoke Hao, Xianfei Zeng
Publikováno v:
Annals of Medicine, Vol 56, Iss 1 (2024)
Background In liquid biopsy, mutation detection is primarily performed using cell-free DNA (cfDNA). However, the numerous advantages of extracellular vesicle (EV) DNA for mutation detection have gradually garnered the attention of researchers in rece
Externí odkaz:
https://doaj.org/article/e2c16df8d4914ea69cbbddf88d09ba39
Autor:
Zibo Zuo, Wouter De Corte, Yulin Huang, Xiaoming Chen, Yamei Zhang, Jin Li, Longlong Zhang, Jianzhuang Xiao, Yong Yuan, Ketao Zhang, Lulu Zhang, Viktor Mechtcherine
Publikováno v:
Virtual and Physical Prototyping, Vol 19, Iss 1 (2024)
ABSTRACTThree-dimensional (3D) printing has been profoundly changing the production mode of traditional industries. However, this technique is usually limited to metre-scale fabrication, which prevents large-scale 3D printing (LS3DP) applications suc
Externí odkaz:
https://doaj.org/article/141e9977358646adbd606cfecb2aadec
Publikováno v:
Materials Today. 36:10-17
Cu-based chemical vapor deposition method can produce large-area graphene films, usually polycrystalline films with grain boundaries as the main defects. One way to reduce grain boundaries is to grow oriented graphene domains (OGDs), which can ultima
Publikováno v:
Journal of Hydroinformatics, Vol 26, Iss 3, Pp 683-706 (2024)
To address the issue of low accuracy and inefficiency in the traditional parameter calibration methods for the SWMM model, this paper constructs an automatic parameter calibration model based on multi-objective optimisation algorithms. Firstly, the S
Externí odkaz:
https://doaj.org/article/170ec156dbd24d0d9e3cd4393f053ffc
Autor:
Tingyue Wu, Wenjing Liu, Hui Chen, Lei Hou, Wenlong Ren, Longlong Zhang, Jinhui Hu, Haijun Chen, Ceshi Chen
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Triple-negative breast cancer (TNBC) is regarded as the deadliest subtype of breast cancer because of its high heterogeneity, aggressiveness, and limited treatment options. Toxoflavin has been reported to possess antitumor activity. In this
Externí odkaz:
https://doaj.org/article/02fe06658cf745deac4a18f1926b57bb
Publikováno v:
Remote Sensing, Vol 16, Iss 23, p 4358 (2024)
Deep learning techniques have been widely investigated as an effective method for signal measurement in recent years. However, most existing deep learning-based methods still face difficulty in deploying on embedded platforms and perform poorly in re
Externí odkaz:
https://doaj.org/article/ab60af1eb28042fd8f0c8bfbec2b3f7a
Autor:
Huicong Chang, Xuesong Li, Longlong Zhan, Wang Yue, Jie Xu, Wanli Zhang, Yi Jia, Fangzhu Qing, Richard Stehle, Libo Gao
Publikováno v:
Nanoscale Research Letters, Vol 13, Iss 1, Pp 1-6 (2018)
Nanoscale Research Letters
Nanoscale Research Letters
As grown graphene by chemical vapor deposition typically degrades greatly due to the presence of grain boundaries, which limit graphene’s excellent properties and integration into advanced applications. It has been demonstrated that there is a stro
Publikováno v:
IEEE Access, Vol 12, Pp 55757-55767 (2024)
The contextual understanding ability in complex conversation scenarios has been a challenging issue, and existing methods mostly failed to possess such characteristics. To bridge such gap, this paper formulates a novel composite large language model
Externí odkaz:
https://doaj.org/article/cc28bec2e878408387b739fc97d0093d
Publikováno v:
MRS Bulletin. 42:819-824
Because of its unique properties and promising applications, graphene has attracted great interest from both academia and industry in the last decade. For studies on graphene as well as for applications, it is essential to develop techniques to prepa