1,720,957 research outputs found

    Supplemental_Online_Materials – Supplemental material for Does Training Predict Second-Grade Teachers’ Use of Student Data for Decision-Making in Reading and Mathematics?

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    Supplemental material, Supplemental_Online_Materials for Does Training Predict Second-Grade Teachers’ Use of Student Data for Decision-Making in Reading and Mathematics? by Marissa J. Filderman, Jessica R. Toste and North Cooc in Assessment for Effective Intervention</p

    sj-docx-1-rse-10.1177_07419325211054208 – Supplemental material for Data Literacy Training for K–12 Teachers: A Meta-Analysis of the Effects on Teacher Outcomes

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    Supplemental material, sj-docx-1-rse-10.1177_07419325211054208 for Data Literacy Training for K–12 Teachers: A Meta-Analysis of the Effects on Teacher Outcomes by Marissa J. Filderman, Jessica R. Toste, Lisa Didion and Peng Peng in Remedial and Special Education</p

    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

    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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    The role of STING agonist-induced interferon stimulated genes in the anti-melanoma immune response

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    Successful infiltration of pro-inflammatory immune cells into the tumor can promote an anti-tumor microenvironment that leads to tumor growth control and regression. However, the tumor has many mechanisms, both intrinsic and extrinsic, to inhibit the anti-tumor immune response and promote a pro-tumor microenvironment. Recently, treatment of solid tumors with STING agonists has been investigated pre-clinically and clinically as a strategy to promote immune cell entry into the tumor and exert their anti-tumor effector function in the tumor, which can be exploited for cancer immunotherapies. STING is a cytosolic dsDNA sensor that induces the expression of type I interferons and other interferon stimulated genes upon its activation, leading to immune cell entry into the tumor and a delay in tumor growth. Although many STING agonists have shown promise in pre-clinical and early phase clinical testing, they have been unable to induce complete tumor regressions. One reason for this result is the upregulation of inhibitory molecules in the tumor following treatment with STING agonists. In this thesis, I show that treatment of murine melanoma with antagonists of these inhibitory molecules (ARG2, COX2, NOS2, ISG15, PD-L1) in combination with STING agonist, ADU-S100, leads to an improvement in tumor growth control compared to STING agonist monotherapy. In the B16 melanoma model, the combination of anti-PD-L1 + ADU-S100 or anti-ISG15 + ADU-S100 leads to a delay in tumor growth compared to ADU-S100 alone. This therapeutic response is driven by changes in the myeloid and lymphoid compartments that promote an inflammatory, anti-tumor microenvironment. Meanwhile, in the BPR20 melanoma model, treatment with ARG2i/COX2i/NOS2i + ADU-S100 promotes improved tumor growth control compared to ADU- S100 alone. These changes in tumor growth are associated with the increased expression of genes associated with inflammation and an anti-tumor immune response and the decreased expression of genes associated with tumor growth and survival. Overall, these data demonstrate that tumor- mediated mechanisms of resistance to therapy can be overcome and provide guidance for future combination therapies

    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
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