1,354,698 research outputs found

    Viral infections as a cause of cancer

    No full text
    In order to promote carcinogenesis multiple factors must be orchestrated. The alteration of the cellular genome after a carcinogenic exposure may result in malignancy if apoptosis is prevented and the immune surveillance fails to eliminate the transformed cell. Infectious agents may exert these properties and transform a host cell. Viruses associated with human cancer are known as 'tumor viruses'. Most of them are capable of integrating into the host genome and have the ability to immortalize the target cell in order to allow their own replication. The infected cell expresses the viral genes, which are able to induce cell growth, proliferation and prevent apoptosis. This review focuses on Epstein-Barr virus, human papilloma virus, hepatitis C virus, hepatitis B virus, human herpes virus 8 and human T-cell leukemia virus, since they have been already established as causative agents of human cancer. An understanding of the viral replication mechanism may provide new targets for the development of specified viral therapy that may have an impact not only on viral infections but in human cancer as well

    L'universo femminile raccontato da Emanuela E. Abbadessa Traduzione e commento del romanzo Fiammetta (2016).

    No full text
    Lo scopo del presente lavoro è presentare la traduzione di alcuni capitoli del romanzo "Fiammetta" di Emanuela E. Abbadessa e analizzare filtri attraverso i quali l'autrice descrive l'universo femminile nel suo libro. Vista la lunghezza dell'opera, nel progetto del lavoro abbiamo selezionato per la traduzione alcuni capitoli della prima parte del libro, rispettando l’ordine cronologico e, soprattutto, quello logico cercando di osservare il principio della coesione testuale. Si fornisce, oltre a una base teorica della traduzione, un analisi delle scelte traduttive prese e delle strategie traduttive adottate

    Going Beyond Counting First Authors in Author Co-citation Analysis

    No full text
    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
    corecore