1,722,918 research outputs found

    Microfluidics for secretome analysis under enhanced endogenous signaling

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    Cell secretome, the complex set of proteins that are secreted by the cells, is a fundamental mechanism of cell-cell communication both in vitro and in vivo. In vivo, the analysis of proteins secreted into body fluids can bring to the identification of biomarkers for important physiopathological conditions. However, due to the complexity of the protein content of body fluids, a better understanding of the secreted proteins by different cell types is highly desirable and can be performed in vitro for dissection. To this aim, microfluidic culture systems could be particularly relevant because of the accumulation of extrinsic endogenous signals at microliter scale, which better preserves the self-regulation occurring in the small interstitial spaces in vivo. In this work, we perform a quantitative study to compare the secretome in microfluidics and in a standard well plate. Human foreskin fibroblasts are used as a case study. This work also represents an important technological advance in terms of feasibility of high-throughput quantitative protein analyses in microfluidics

    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

    Sparsity-Based Processing to Enhance the Reverberation Suppression for FDA-MIMO Sonars

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    Multiple-input-multiple-output (MIMO) system with frequency diverse array (FDA) offers interesting perspectives for target detection and estimation in several fields, such as sonar. In this context, reverberation in shallow water environments is highly heterogeneous and, as a consequence, impairs the performance of methods that assume statistical homogeneity. To deal with this drawback, we propose a weighted sparse algorithm to enhance the performance of FDA-MIMO sonars in the context of space time adaptive processing (STAP). Specifically, we exploit the structure of the FDA-MIMO sonar signal model to construct an optimization problem that allows for high-resolution estimation of the angle Doppler spectrum. In order to solve such a problem, we assume that the weight vector is sparse and conceive a sparse STAP method for the related estimation. In addition, we also estimate a regularization parameter that controls the sparsity level of data by using the constant-false-alarm-rate (CFAR) detector and the maximum likelihood (ML) estimator. As a consequence, the negative effect related to the amount of training data or accurate prior knowledge of the reverberation statistics is no longer present. Both target parameter estimation accuracy and reverberation suppression performance are superior over the conventional sparse-STAP and sparse direct data domain methods. Simulation results show the effectiveness of the proposed method

    Dispelling the Myths Behind First-author Citation Counts

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    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

    Author Index

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    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    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

    Cloning of a new member of the retinoblastoma gene family (pRb2) which binds to the E1A transforming domain

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    The product of the retinoblastoma tumor suppressor gene (pRb) and p107 share a high degree of structural homology in the pocket region, which is thought to play a primary role in the function of these proteins. It is conceivable that there exists a larger family of cellular proteins containing this pocket region. In this communication, we report cloning of a new human cDNA encoding a polypeptide that shows a high level of identity with pRb and p107 and possesses a pocket region. We have named it pRb2. From the deduced amino acid sequence, pRb2 has a predicted molecular weight of approximately 120 kD and its in vitro translated product binds to the adenovirus E1A protein. Due to its size, pRb2 may correspond to p130, which has previously been shown by us to interact with the transforming region of E1A in in vivo studies. Interestingly, pRb2 fails to bind an E1A mutant in the transforming domain 2 suggesting that pRb2 is involved in the transforming capacity of E1A
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