Zobrazeno 1 - 10
of 79
pro vyhledávání: '"Lun Du"'
Autor:
Lun Du, Guanghua Zhang, Dongdong Yang, Jie Luo, Yewei Liu, Wanbin Zhang, Ce Zhang, Junguo Li, Junfeng Zhu
Publikováno v:
Royal Society Open Science, Vol 8, Iss 1 (2021)
In this work, a novel amphoteric copolymer named Poly(sodium p-styrenesulfonate–co-acrylic acid-co-diallyldimethylammonium chloride) (P(SS-co-AA-co-DMDAAC)) was synthesized via free radical polymerization. Afterwards, P(SS-co-AA-co-DMDAAC) was expl
Externí odkaz:
https://doaj.org/article/e0279f3ec2a348578b4c7b74ebdc2426
Autor:
Lun DU
Publikováno v:
Asian Studies, Vol 5, Iss 1 (2017)
The Chunqiu and Zhanguo Periods are usually regarded as the birth of Chinese philosophy, especially with regard to practical or moral philosophy. If we think about the concept of political legitimacy in the Early Zhou Period, with ideas like the “M
Externí odkaz:
https://doaj.org/article/f8efd6efd0e74f3aafb5bb57172d26d9
105
State-of-charge (SoC) and state-of-health (SoH) define the amount of charge and rated capacity loss of a battery, respectively. In order to determine these two parameters, open-circuit voltage(OCV) and internal resistance of battery are indi
State-of-charge (SoC) and state-of-health (SoH) define the amount of charge and rated capacity loss of a battery, respectively. In order to determine these two parameters, open-circuit voltage(OCV) and internal resistance of battery are indi
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/45707658469000660711
Autor:
Yi-Lun Du, Kai Zhou, Jan Steinheimer, Long-Gang Pang, Anton Motornenko, Hong-Shi Zong, Xin-Nian Wang, Horst Stöcker
Publikováno v:
European Physical Journal C: Particles and Fields, Vol 80, Iss 6, Pp 1-17 (2020)
Abstract Using deep convolutional neural network (CNN), the nature of the QCD transition can be identified from the final-state pion spectra from hybrid model simulations of heavy-ion collisions that combines a viscous hydrodynamic model with a hadro
Externí odkaz:
https://doaj.org/article/2d72027f9786454695ee514d14232e77
Publikováno v:
European Physical Journal C: Particles and Fields, Vol 79, Iss 3, Pp 1-7 (2019)
Abstract The predictive power of perturbative QCD (pQCD) depends on two important issues: (1) how to eliminate the renormalization scheme-and-scale ambiguities at fixed order, and (2) how to reliably estimate the contributions of unknown higher-order
Externí odkaz:
https://doaj.org/article/68bb8198950a4c09ae1b146e25c62eee
Publikováno v:
European Physical Journal C: Particles and Fields, Vol 78, Iss 1, Pp 1-5 (2018)
Abstract In the paper, we analyze the $$\eta _c$$ ηc decays into light hadrons at the next-to-leading order QCD corrections by applying the principle of maximum conformality (PMC). The relativistic correction at the $$\mathcal{{O}}(\alpha _s v^2)$$
Externí odkaz:
https://doaj.org/article/8474f43af3844a45ab98dc2036d621d1
Autor:
Lun Du
Publikováno v:
International Confucian Studies. 1:81-95
Max Weber proposed three types of legitimate authority: charismatic, traditional and rational-legal. Roughly at the same time, the Chinese scholar Liang Qichao, fully aware of the strong link between ethics and politics in ancient China, put forward
Autor:
Wei-Chung Chiou, Wei-Han Lai, Yu-Lin Cai, Meng-Lun Du, Hsi-Mei Lai, Jui-Chieh Chen, Hsiu-Chen Huang, Hui-Kang Liu, Cheng Huang
Publikováno v:
Food & Function. 13:9481-9495
Obesity is a chronic disease that may lead to the development of metabolic diseases, cardiovascular diseases, and cancers and has been predicted to affect one billion adults by 2030. Owing to the pivotal role of the gut microbiota in health, includin
Graph convolutional networks (GCNs) are currently the most promising paradigm for dealing with graph-structure data, while recent studies have also shown that GCNs are vulnerable to adversarial attacks. Thus developing GCN models that are robust to s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3aeafb5d16de9b360d7f48572576cad1
http://arxiv.org/abs/2302.08048
http://arxiv.org/abs/2302.08048
Autor:
Jiayan Guo, Lun Du, Wendong Bi, Qiang Fu, Xiaojun Ma, Xu Chen, Shi Han, Dongmei Zhang, Yan Zhang
With the rapid development of the World Wide Web (WWW), heterogeneous graphs (HG) have explosive growth. Recently, heterogeneous graph neural network (HGNN) has shown great potential in learning on HG. Current studies of HGNN mainly focus on some HGs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01c3d434f5d7b442091d9235893ae228
http://arxiv.org/abs/2302.06299
http://arxiv.org/abs/2302.06299