1,721,097 research outputs found
Nuclear trafficking of Anelloviridae capsid protein ORF1 reflects modular evolution of subcellular targeting signals
Anelloviridae members are ubiquitous viruses with a small, negative sense, single-stranded DNA genome which is replicated by host cell DNA polymerases. Anelloviruses are postulated to interact with the host cell nuclear transport machinery, however, the lack of reliable cell culture models strongly limits our knowledge regarding Anelloviridae-host interactions. In particular, capsid nuclear import is a largely uncharacterized process. We addressed this by investigating the relationship between host cell nuclear transport receptors (NTRs) and ORF1, the putative capsid protein from torque teno douroucouli virus (TTDoV). We identified the subcellular targeting signals and NTRs responsible for its nucleolar and nuclear localization, and characterized their relative contribution to ORF1 subcellular localization. In the absence of other viral proteins, ORF1 accumulated in the nucleoli. Bioinformatics analysis revealed a putative classical nuclear localization signal (cNLS) within the highly conserved N-terminal arginine rich motif (ARM) ('NLSn', 27-RRWRRRPRRRRRPYRRRPYRRYGRRRKVRRR-57), and an additional C-terminal cNLS ('NLSc', 632-LPPPEKRARWGF-643), which has been specifically acquired by Anelloviridae capsids with larger projection domains. Such NLSs play distinct roles in ORF1 subcellular localization by interacting with specific NTRs. NLSn, a non-classical NLS, features broad importin (IMP) binding affinity yet plays a minor role in nuclear import, being responsible for nucleolar targeting likely through interaction with nucleolar components. NLSc, a bona fide cNLS, specifically interacts with IMPα and is the main driver of active nuclear transport in an IMPα/β1-dependent fashion. These findings suggest an evolutionary correlation between the acquisition of progressively larger projection domains and the presence of additional cNLSs in Anelloviridae capsids, aimed at maximizing IMPα/β1-mediated nuclear import
Going Beyond Counting First Authors in Author Co-citation Analysis
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
“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
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
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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Disturbance Propagation in Dynamical Networks
This dissertation focuses on the propagation of disturbances in dynamical networks. Specifically, we use graph-theoretic analysis to characterize the disturbance responses in sparsely actuated and sensed dynamical networks. In addition, we define the stability of disturbance propagation in general dynamical networks and investigate it in inverter-based microgrids. In general, the dissertation addresses three distinct but interconnected research problems: 1) spatial analysis of network synchronization processes, 2) disturbance propagation stability in dynamical networks, and 3) controllability assessment of dynamical networks.First, we consider the input-output analysis of a discrete-time linear network synchronization model using graph-theoretical analysis. We demonstrate that some input-output metrics, including lp gains, frequency responses, frequency-band energy, and Markov parameters, show a spatial decrescence property in which they are nonincreasing along separating cutsets away from the disturbance source. Based on these spatial results, we characterize the signal-to-noise (SNR) ratio in diffusive networks and define disturbance propagation stability in general dynamical networks. The spatial analysis is then extended to a class of nonlinear dynamical systems, the modified DeGroot-Friedkin model for opinion formation in networks. The nonlinear self-confidence dynamics in this model also show spatial degradation under certain constraints. We develop a graph-preserving model reduction algorithm with nonlinear self-confidence dynamics using these spatial results. All these formal results are illustrated through suitable examples.Second, motivated by the spatial analysis of dynamical networks, we consider disturbance propagation stability notions for a synchronization process of homogeneous subsystems coupled linearly. Here, we present a general definition of disturbance propagation stability based on the degradation of response norms with separating cutsets away from the disturbance source. Based on this definition, the network synchronization model is propagation stable if it is asymptotically internally (Lyapunov) stable, and the maximum singular values of the subsystem model's local transfer matrices over all frequencies are upper bounded by unity. The analysis can be extended to an induced subnetwork and simplified for the single-input single-output (SISO) case. Then, we consider the disturbance propagation stability analysis for an inverter-based microgrid's angle dynamics using spatial degradation of H∞ or H2 gains. We show that the propagation stability of the microgrid depends on the inverter control parameters. We also characterize the disturbance in the frequency domain if the microgrid is propagation unstable and describe resilient design techniques considering the trade-off between coherency and disturbance propagation. Finally, the results are demonstrated through simulation.Third, the controllability of an inverter-based microgrid is analyzed using graph-theoretic analysis. Specifically, we consider shaping the small-signal dynamics of a droop-controlled microgrid using an additional input. This problem corresponds to the structural controllability assessment of the microgrid. We demonstrate that the microgrid model is structurally controllable for inputs at the digraph's zero-forcing sets (a graph-theoretic property). The graph-theoretic result is verified by computing control input energies at the zero-forcing sets in two test systems
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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