Institution
China University of Petroleum
Education•Beijing, 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).
Topics: Catalysis, Oil shale, Adsorption, Fracture (geology), Source rock
Papers published on a yearly basis
Papers
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TL;DR: This research proposes a basic principle for designing highly efficient CO(2) carbon adsorbents; that is, the adsorbent should be primarily rich in extremely small micropores, because the higher the sorption temperature, the smaller this critical value of pore size is.
Abstract: Microporous carbon materials with extremely small pore size are prepared by employing polyaniline as a carbon precursor and KOH as an activating agent. CO2 sorption performance of the materials is systematically investigated at the temperatures of 0, 25 and 75 °C. The prepared carbons show very high CO2 uptake of up to 1.86 and 1.39 mmol g−1 under 1 bar, 75 °C and 0.15 bar, 25 °C, respectively. These values are amongst the highest CO2 capture amounts of the known carbon materials. The relation between CO2 uptake and pore size at different temperatures is studied. An interesting and innovative point that the micropores with pore size smaller than a critical value play a crucial role in CO2 adsorption at different temperatures is demonstrated. It is found that the higher the sorption temperature is, the smaller this critical value of pore size is. Pores smaller than 0.54 nm are manifested to determine CO2 capture capacity at high sorption temperature, e.g. 75 °C. This research proposes a basic principle for designing highly efficient CO2 carbon adsorbents; that is, the adsorbents should be primarily rich in extremely small micropores.
223 citations
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TL;DR: There is a threshold of the stochastic model which determines the outcome of the disease in case the white noises are small, and sufficient conditions for extinction and persistence in mean are obtained.
223 citations
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TL;DR: The hierarchical structure of bone is reviewed, and the potential application of nano/micro technologies to guide the design of novel biomaterial structures for bone repair and regeneration is reviewed.
Abstract: Natural bone is a mineralized biological material, which serves a supportive and protective framework for the body, stores minerals for metabolism, and produces blood cells nourishing the body. Normally, bone has an innate capacity to heal from damage. However, massive bone defects due to traumatic injury, tumor resection, or congenital diseases pose a great challenge to reconstructive surgery. Scaffold-based tissue engineering (TE) is a promising strategy for bone regenerative medicine, because biomaterial scaffolds show advanced mechanical properties and a good degradation profile, as well as the feasibility of controlled release of growth and differentiation factors or immobilizing them on the material surface. Additionally, the defined structure of biomaterial scaffolds, as a kind of mechanical cue, can influence cell behaviors, modulate local microenvironment and control key features at the molecular and cellular levels. Recently, nano/micro-assisted regenerative medicine becomes a promising application of TE for the reconstruction of bone defects. For this reason, it is necessary for us to have in-depth knowledge of the development of novel nano/micro-based biomaterial scaffolds. Thus, we herein review the hierarchical structure of bone, and the potential application of nano/micro technologies to guide the design of novel biomaterial structures for bone repair and regeneration.
222 citations
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TL;DR: In this paper, a real-time fault diagnosis methodology of complex systems with repetitive structures using object-oriented Bayesian networks (OOBNs) is proposed, which consists of two main phases: an off-line OOBN construction phase and an on-line fault diagnosis phase.
222 citations
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TL;DR: Experiments results show that the proposed approach is effective and efficient to help decision makers to select optimal sustainable suppliers, and can be applied by managers to evaluate and determine appropriate suppliers in sustainable supplier selection process.
Abstract: Due to the increasing awareness of environmental and social issues, sustainable supplier selection becomes an important problem. The aim of this paper is to develop a novel group decision making sustainable supplier selection approach using extended Techniques for Order Preferences by Similarity to Ideal Solution (TOPSIS) under interval-valued Pythagorean fuzzy environment. Sustainable supplier selection often involves uncertain information due to the subjective nature of human judgments, and the interval-valued Pythagorean fuzzy set (IVPFS) has great ability to address strong fuzziness, ambiguity and inexactness during the decision-making process. The first contribution of this research is to use the IVPFS to capture the uncertain information of decision makers. Moreover, sustainable supplier selection often involves multiple decision makers from different groups. The second contribution of this research is to develop a group decision making approach for sustainable supplier selection. TOPSIS is the most commonly used technique in sustainable supplier selection. The third contribution of this research is to propose an extended TOPSIS method by integrating distance and similarity between alternatives concurrently to evaluate performances of suppliers. In this research, the group decision making approach and extended TOPSIS method is also extended to IVPFSs. Finally, experiments are conducted to verify the feasibility and efficiency of the proposed sustainable supplier selection approach. Experiments results show that the proposed approach is effective and efficient to help decision makers to select optimal sustainable suppliers. Therefore, the proposed approach can be applied by managers to evaluate and determine appropriate suppliers in sustainable supplier selection process.
222 citations
Authors
Showing all 40138 results
Name | H-index | Papers | Citations |
---|---|---|---|
Lei Jiang | 170 | 2244 | 135205 |
Shi-Zhang Qiao | 142 | 523 | 80888 |
Jian Zhou | 128 | 3007 | 91402 |
Tao Zhang | 123 | 2772 | 83866 |
Jian Liu | 117 | 2090 | 73156 |
Qiang Yang | 112 | 1117 | 71540 |
Jianjun Liu | 112 | 1040 | 71032 |
Ju Li | 109 | 623 | 46004 |
Peng Wang | 108 | 1672 | 54529 |
Alan R. Fersht | 108 | 400 | 33895 |
Jian Zhang | 107 | 3064 | 69715 |
Wei Liu | 102 | 2927 | 65228 |
Xiaoming Sun | 96 | 382 | 47153 |
Haibo Zeng | 94 | 604 | 39226 |
Chao Wang | 91 | 561 | 32854 |