1,720,959 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
EX VIVO EXPANSION OF TUMOR-SPECIFIC T CELLS WITH SEQUENTIAL COMMON GAMMA CHAIN CYTOKINES RENDER THEM REFRACTORY TO MDSC UPON ADOPTIVE IMMUNOTHERAPY.
Get PDFMyeloid derived suppressor cells (MDSCs) are heterogeneous population of immature cells at various stages of differentiation, characterized by the presence of CD11b and Gr1 in mice. They are major contributors of the tumor-induced immune suppression against the tumors. So far, various strategies have been introduced to overcome the endogenous MDSCs. Most of these approaches rely on the elimination of MDSCs and it is not clear whether tumor-reactive T cells may be differentiated towards phenotypes that are refractory to MDSCc. Our laboratory has previously shown that high affinity T cells derived from tumor-sensitized wild-type FVB mice and expanded ex vivo with the alternating common gamma chain cytokine formulation (initiation of culture with IL-7 + IL-15 followed by one day pulse with IL-2 and continuation of culture with IL-7 + IL-15) can successfully induce tumor regression in FVBN202 transgenic mouse model of breast carcinoma upon adoptive immunotherapy (AIT), only when combined with the depletion of endogenous MDSCs. In this study we have introduced a novel formulation of the sequential common gamma chain cytokines (initiation of culture with IL-7 + IL-15 followed by the expansion with IL-2 until 6 days) for the ex vivo expansion of the autologous and tumor-sensitized low affinity T cells derived from FVBN202 mice and further used for AIT. This novel formulation induced differentiation of tumor-reactive CD8+ T cells mainly towards effector and effector/memory phenotypes that were refractory to MDSCs in vitro and in vivo. AIT by using these T cells induced rejection of primary neu positive tumors and generated long-term memory responses against the recall tumor challenge. Importantly, these T cells also resulted in the inhibition of neu antigen negative relapsed tumor cells. Our findings in the present study provide a platform for AIT of breast cancer patients.
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe 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
Examining Students’ Covariational Reasoning Through Mathematical Modeling Activities Embedded in the Context of the Greenhouse Effect
Get PDFThe greenhouse effect is one of the most pressing environmental as well as social issues of the present age. In news media and weather reports, most of the essential information about the phenomenon is expressed in forms of graphs and pictures. However, the interpretation of such graphs is challenging for students; they often focus on the shape of the graphs, overlooking the covariational relationships between the concerned quantities. Building on the framework of critical mathematics literacy and social justice mathematics, in this study I aimed to explore the power of dynamic mathematical modeling activities for engaging students in covariational reasoning and developing their understanding about the greenhouse effect. More specifically, this study aimed to explore a) the extent to which students’ understanding of the greenhouse effect and covariational reasoning changed as a result of their engagement with the mathematical modeling activities, and b) the ways in which students may reason covariationally as they engage with mathematical modeling activities in the context of the greenhouse effect.
To engage students in covariational reasoning in the context of the greenhouse effect, three NetLogo dynamic simulations and accompanied activities were developed and implemented in two sixth-grade classrooms in the form of a whole class design experiment. Both quantitative and qualitative data were collected in the form of pre- and post-assessments and video recordings of whole class discussions and small group interactions. The analysis of the quantitative data shows a significant improvement in post-assessment scores of the treatment group students compared to their peers in a control group. The qualitative analysis that followed helped me understand the meaning of the improved post-assessment scores by studying students’ reasoning as they interacted with the simulations. The analysis of the qualitative data indicates that the design of the three simulations and activities as well as the targeted questioning provided a productive space for students to engage in different levels of covariational reasoning according to Carlson et al.’s mental action framework and helped them identify the causes and the consequences of the greenhouse effect
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe 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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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