34,188 research outputs found

    Dynamic Reliability Assessment Framework for Integrated Energy Systems Based on the Improved Universal Generating Function

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    With the development of science and technology in the field of energy, the concept of Integrated Energy System (IES) has attracted more and more researchers' attention. However, it is difficult to evaluate the reliability of the coupled energy system due to the complex systems structure and dynamics in subsystems. This leads to heavy computational burdens for evaluation processing. To overcome this gap, in this paper, a novel systematic reliability assessment framework is proposed to analyze the dynamic reliability of IESs. The data-driven model and improved universal generating function are combined in this method. The components' random behavior is represented by improved universal generating function (IUGF) models. All these IUGF models are aggregated by an operator to build the system IUGF model. The operator is defined as an IES model which is described by a data-driven model. The efficiency and accuracy are validated by comparing the results from the proposed method with that from Monte Carlo simulation. A case study of a realistic bi-directional IES is carried out to demonstrate the effectiveness of the proposed method. The results indicate that the role of P2G is becoming more and more important in IESs with the increasing penetration level of renewable sources. The synergism of P2G and energy storage devices has the best effect on improving the system's reliability

    Fig. 4 in Preliminary investigations on the pathogenesis-related protein expression profile of the medicinal herb Macleaya cordata and anti-bacterial properties of recombinant proteins

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    Fig. 4. Multiple sequence alignments of the mature peptides of McLTP1 homologs from different plants with ClustalW2. The target proteins McLTP1 of this study are highlighted with yellow fluorescent background. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)Published as part of Chen, Jinjun, Liu, Zihao, Liu, Yisong, Zhang, Xuewen & Zeng, Jianguo, 2021, Preliminary investigations on the pathogenesis-related protein expression profile of the medicinal herb Macleaya cordata and anti-bacterial properties of recombinant proteins, pp. 1-9 in Phytochemistry (112667) 184 on page 5, DOI: 10.1016/j.phytochem.2021.112667, http://zenodo.org/record/829214

    A flow-based method for identifying critical pipelines in complex natural gas supply systems

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    Natural gas supply systems are complex pipeline networks, whose features can cause severe consequences under unexpected scenarios. In this work, we present the research being performed to develop a method for efficiently measuring and locating pipelines which are critical to gas distribution. Graph theory, thermal-hydraulic simulation, optimization and network flow method are integrated to calculate the pipeline criticality with respect to the supply of gas. Graph theory is applied to model the supply-transmission-demand systems. A capacity model, superposed on the graph model, and a combination of thermal-hydraulic simulation and optimization is used to simulate the system operation under different scenarios and estimate the different supply performances of the pipelines. This allows to assess the criticality of the pipelines by the network flow method. For demonstration, the method is applied to a relatively complex gas pipeline network. The results of the application show that the method can provide analytical information useful to improve the system robustness and perform a more efficient and effective protection of the gas supply system

    Data for: Influence of Asphaltenes on the Performance of Electrical Treatment of Waxy Oils

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    The attached excel file is the research data for manuscript entitled "Influence of Asphaltenes on the Performance of Electrical Treatment of Waxy Oils

    Fig. 8 in Preliminary investigations on the pathogenesis-related protein expression profile of the medicinal herb Macleaya cordata and anti-bacterial properties of recombinant proteins

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    Fig. 8. Antibacterial effects of a series of purified McDef2 concentration against S. aureus (A), E. coli (B), S. pullorum (C) and A. hydrophila (D). 1: 30 μg/ml, 2: 40 μg/ ml, 3: 50 μg/ml, 4: 60 μg/ml, 5: 80 μg/ml, 6: 100 μg/ml, 7: Negative control, empty vector expression supernatant; 8: Positive control, for A̢B̢C: 0.2 mg/mL Ampicillin, for D: 0.5 mg/mL Kanamycin.Published as part of Chen, Jinjun, Liu, Zihao, Liu, Yisong, Zhang, Xuewen & Zeng, Jianguo, 2021, Preliminary investigations on the pathogenesis-related protein expression profile of the medicinal herb Macleaya cordata and anti-bacterial properties of recombinant proteins, pp. 1-9 in Phytochemistry (112667) 184 on page 7, DOI: 10.1016/j.phytochem.2021.112667, http://zenodo.org/record/829214

    Fig. 2 in Preliminary investigations on the pathogenesis-related protein expression profile of the medicinal herb Macleaya cordata and anti-bacterial properties of recombinant proteins

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    Fig. 2. Multiple sequence alignments of the McDef1 (A) and McDef2-5 (B) homologs from different plants with ClustalW2. The conserved domains α-core and γ-core are marked under the homologous sequences respectively. The target proteins McDef1 in (A) and McDef2-5 in (B) of this study are highlighted with yellow fluorescent background. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)Published as part of Chen, Jinjun, Liu, Zihao, Liu, Yisong, Zhang, Xuewen & Zeng, Jianguo, 2021, Preliminary investigations on the pathogenesis-related protein expression profile of the medicinal herb Macleaya cordata and anti-bacterial properties of recombinant proteins, pp. 1-9 in Phytochemistry (112667) 184 on page 4, DOI: 10.1016/j.phytochem.2021.112667, http://zenodo.org/record/829214

    †Chuchinolepididae Zhang 1978

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    Family †Chuchinolepididae Zhang 1978, spelling in prevailing recent practice †Chuchinolepidae Zhang 1978a: 296 (family) † Chuchinolepis Zhang 1978 [family name also seen as †Chuchinolepididae; author also seen as Chang] †Qujinolepidae Zhang 1978b: 173 (family) † Qujinolepis Zhang 1978 [family name sometimes seen as † Qujinolepididae] †Procondylolepidae Zhang 1984: 82 (family) † Procondylolepis Zhang 1984Published as part of Laan, Richard Van Der, 2018, Family-group names of fossil fishes, pp. 1-167 in European Journal of Taxonomy 466 on page 27, DOI: 10.5852/ejt.2018.466, http://zenodo.org/record/555755

    An enhanced author name dataset for PubMed/MEDLINE

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    <p>The incompleteness of author names is a well-known issue in the MEDLINE database. It was since 2002, the full author name has been systematically indexed in MEDLINE. Although many full author names have been added to MEDLINE, we still found a significant number of abbreviated names in papers published after 2002.</p> <p>Here we built an enhanced author name dataset for MEDLINE, called EAN,  achieved by linking the whole PubMed to other large literature databases and conducting a large-scale name comparison and restoration with obtained multi-sources author names. Our evaluation shows that more than 90% of author names in EAN are complete as compared to the ratio of ~60% in MEDLINE.</p&gt

    An enhanced author name dataset for PubMed/MEDLINE

    No full text
    <p>The incompleteness of author names is a well-known issue in the MEDLINE database. It was since 2002, the full author name has been systematically indexed in MEDLINE. Although many full author names have been added to MEDLINE, we still found a significant number of abbreviated names in papers published after 2002.</p> <p>Here we built an enhanced author name dataset for MEDLINE, called EAN,  achieved by linking the whole PubMed to other large literature databases and conducting a large-scale name comparison and restoration with obtained multi-sources author names. Our evaluation shows that more than 90% of author names in EAN are complete as compared to the ratio of ~60% in MEDLINE.</p&gt
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