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Institution

China University of Petroleum

EducationBeijing, China
About: China University of Petroleum is a education organization based out in Beijing, China. It is known for research contribution in the topics: Catalysis & Oil shale. The organization has 39802 authors who have published 39151 publications receiving 483760 citations. The organization is also known as: Zhōngguó Shíyóu Dàxué & China University of Petroleum (Beijing).


Papers
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Journal ArticleDOI
TL;DR: In this paper, a new model used to design the shape and dimension of salt cavern gas storage is proposed, and the effects of gas pressure, friction angle and cohesion of rock salt on the cavern stability are discussed.

108 citations

Journal ArticleDOI
TL;DR: In this paper, three types of natural fractures developed in the Paleozoic marine shales of the southeastern Sichuan Basin, including tectonic fractures, diagenetic fractures and abnormal high-pressure-related fractures.

108 citations

Journal ArticleDOI
TL;DR: Using the density functional theory (DFT) and grand canonical Monte Carlo (GCMC) simulation, the adsorptions of each individual gas molecule (CH4, CO2, H2O or N2) and their mixed gases on heterogeneous surface models of coal (HSMC) have been investigated systematically as discussed by the authors.

108 citations

Journal ArticleDOI
TL;DR: The high sensitivity of single-molecule methods are used to measure the equilibria and kinetics of oligomerization of full-length p53 and its isolated tetramerization domain, p53tet, at physiological temperature, pH and ionic strength using fluorescence correlation spectroscopy in vitro.
Abstract: The state of oligomerization of the tumor suppressor p53 is an important factor in its various biological functions. It has a well-defined tetramerization domain, and the protein exists as monomers, dimers and tetramers in equilibrium. The dissociation constants between oligomeric forms are so low that they are at the limits of measurement by conventional methods in vitro. Here, we have used the high sensitivity of single-molecule methods to measure the equilibria and kinetics of oligomerization of full-length p53 and its isolated tetramerization domain, p53tet, at physiological temperature, pH and ionic strength using fluorescence correlation spectroscopy (FCS) in vitro. The dissociation constant at 37 °C for tetramers dissociating into dimers for full-length p53 was 50 ± 7 nM, and the corresponding value for dimers into monomers was 0.55 ± 0.08 nM. The half-lives for the two processes were 20 and 50 min, respectively. The equivalent quantities for p53tet were 150 ± 10 nM, 1.0 ± 0.14 nM, 2.5 ± 0.4 min and 13 ± 2 min. The data suggest that unligated p53 in unstressed cells should be predominantly dimeric. Single-molecule FCS is a useful procedure for measuring dissociation equilibria, kinetics and aggregation at extreme sensitivity.

108 citations

Journal ArticleDOI
TL;DR: This paper proposes a copy adjustable incentive scheme (CAIS), which adopts the virtual credit concept to stimulate selfish nodes to cooperate in data forwarding and demonstrates that CAIS copes well with node selfishness in community-based networks and outperforms other benchmark protocols with high data delivery ratio, low communication overhead, and short data delivery latency.
Abstract: Socially aware networking (SAN) is a new communication paradigm, in which the social characteristics of mobile nodes are exploited to improve the performance of data distribution. In SAN, mobile carriers may exhibit selfish behaviors and refuse to relay messages for others for various reasons, such as limited resources (e.g., buffer, energy, and bandwidth) or social relationships. Several incentive schemes have recently been investigated to stimulate selfish users for cooperation in data forwarding. However, a majority of the existing methods have not fully studied nodes' social relationships in their selfish behaviors. In this paper, we propose a copy adjustable incentive scheme (CAIS), which adopts the virtual credit concept to stimulate selfish nodes to cooperate in data forwarding. In CAIS, we consider a network in which the nodes are divided into certain communities based on their social relationships. Then, we apply two types of credits, i.e., social credit and nonsocial credit, to reward the nodes when they relay data for other nodes inside their community or outsiders, respectively. Based on our mechanism, the number of messages a node can replicate to other nodes is adjusted according to its cooperation level and earned credits. To further improve the performance of CAIS, a single-copy data replication policy is employed, which manages the credit distribution of each node according to its available resources. The results of our extensive experiments using both synthetic and trace-driven simulations illustrate that CAIS copes well with node selfishness in community-based networks and outperforms other benchmark protocols with high data delivery ratio, low communication overhead, and short data delivery latency.

108 citations


Authors

Showing all 40138 results

NameH-indexPapersCitations
Lei Jiang1702244135205
Shi-Zhang Qiao14252380888
Jian Zhou128300791402
Tao Zhang123277283866
Jian Liu117209073156
Qiang Yang112111771540
Jianjun Liu112104071032
Ju Li10962346004
Peng Wang108167254529
Alan R. Fersht10840033895
Jian Zhang107306469715
Wei Liu102292765228
Xiaoming Sun9638247153
Haibo Zeng9460439226
Chao Wang9156132854
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023163
20221,053
20214,986
20204,421
20194,425
20183,709