1,720,968 research outputs found
Monitoring of cellular immunity by interferon gamma (IFN-g) Enzyme-Linked Immunosorbent Spot (ELISPOT) assay in kidney allograft recipients: preliminary results of a longitudinal study.
No full textSeveral efforts have been made in past years to identify markers for patients at heightened risk of acute and chronic immune-mediated allograft rejection. The ex vivo monitoring of cellular immunity by Enzyme-Linked Immunosorbent Spot (ELISPOT) assay has recently emerged as a primary tool in predicting either short and long-term outcomes in kidney allograft recipients. Therefore we started the systematic application of Interferon-gamma (IFN-g) ELISPOT assay to measure the frequency of producing IFN-g in recipient peripheral blood lymphocytes (PBLs) stimulated with donor lymphocytes before and 7, 14, 21,28 and 60 days after the transplant, respectively. Very preliminary results on 8 kidney transplant patients indicated that the number of HLA mismatches never correlated with the number of IFN-g spots. The frequencies of pre-transplant IFN-g spots were positively and significantly correlated with the number of post-transplant IFN-ã spots. Clinical outcome was better in recipients with low frequencies than in recipients with high frequencies of pre and/or post-transplant IFN-g spots. The highest pre-and post-transplant number of IFN-g spots was observed in a patient who developed early acute rejection. Significant increases of the number of IFN-g spots preceded the onset of acute rejection events and decreased after supplemental i.v. steroid administration. Considering the low number of observations, these preliminary results must be considered cautiously; nevertheless we are encouraged to extend the systematic application of serial IFN-g ELISPOT assay measurements in a more consistent cohort of patients
Power relations in digitally-mediated communication. Exploring inequalities, discrimination, and new forms of injustice
No full textThe plastic and highly pervasive nature of digitally-mediated communication has been shaping and affecting interpersonal communication at all levels and in all contexts of human interaction (Herring 2004). In the last few decades, the construction of power relations in digital media has shifted from traditional configurations observable, for instance, on television, radio, and newspapers, making asymmetries and imbalances in the relation between dominant and dominated groups subtler and less visible (KhosraviNik 2017). As a consequence, new modes of perpetrating social injustice, as well as discrimination and hate speech have emerged (Balirano and Hughes 2020), also informed by the controversial assumption “that cyberspaces are intrinsically different from real interactions” (KhosraviNik and Esposito 2018: 47).
The present volume gathers papers dealing with theoretical, methodological, and experimental aspects in the analysis of new power relations and dominance frameworks in digital narration and communication. In line with critical approaches (Wodak and Meyer 2016; Page et al. 2022), the papers should engage in harmonious discussion about present realities and future perspectives, ideally providing original contribution to existing interdisciplinary literature on the subject
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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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