1,721,043 research outputs found

    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

    Dynamic Network Optimization for Effective Qos Support in Large Grid Infrastructures

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    In the past decade there has been a remarkable change from mainframe-based centralized computing to a distributed client/server approach. In the coming decade this trend is likely to continue with further shifts towards network centric collaborative computing. At the state of the art, the key technology in collaborative computing is the computational grid paradigm. Like an electrical power grid, the computational Grid will aim to provide a steady, reliable source of computing power. More precisely, the term grid is now adopted to designate a common computational and/or data processing infrastructure built on distributed resources, highly heterogeneous (in their role, computing power and architecture), interconnected by heterogeneous communication networks and communicating through some basic services realized by a middleware stratum that offers a reliable, simple, uniform and often transparent interface to its resources such that an unaware user can submit jobs to the Grid just as if he/she was facing a large virtual supercomputer, so that large computing endeavors, consisting of one or more related jobs or tasks, are then transparently distributed over the network on the available computing resources. Such a workload distribution strategy, that is, to balance the tasks on different idle computers on the underlying networks, is the most important functionality in computational Grids, usually provided at the service level of the grid software infrastructure. © 2009, IGI Global

    A parallel approach to social network generation and agent-based epidemic simulation

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    Understanding the dynamics of disease spread is essential in contexts such as estimating load on medical services, as well as risk assessment and interven- tion policies against large-scale epidemic outbreaks. However, most of the information is available after the outbreak itself, and preemptive assessment is far from trivial. Here, we report on an agent-based model developed to investigate such epidemic events in a stylised urban environment. For most diseases, infection of a new individual may occur from casual contact in crowds as well as from repeated interactions with social partners such as work colleagues or family members. Our model therefore accounts for these two phenomena. Given the scale of the system, efficient parallel computing is required. In this presentation, we focus on aspects related to paralllelisation for large networks generation and massively multi-agent simulations

    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

    Profile-based static virtual machine placement for energy-efficient data center

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    The energy consumption of a data center and hence the carbon footprint from it largely depends on the energy consumption by its active Physical Machines (PMs). Researchers have taken many attempts to minimize the data center energy consumption through the Virtual Machines (VMs) allocation into a minimal number of PMs of homogeneous types. However, the current VM placement strategies do not consider the fluctuations of resource requirements of a VM through its lifetime. To resolve the this issue, this paper introduces a novelty of profile-based VM assignment algorithm for minimizing the energy consumption in data center. Our algorithm considers the subsequent time intervals of data center based on profiling of VMs and PMs. An algorithm has been proposed and developed for finding near optimal solution for VMs placement with the objective of minimizing data center energy consumption. Our algorithm has been compared with a bin packing algorithm, First-Fit Decreasing (FFD), and experimental results have shown that our algorithm can reduce more energy consumption than the FFD algorithm and is scalable for larger test problems

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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