1,721,188 research outputs found

    Il mito di Roma nella Russia sovietica. La cultura architettonica.

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    Nel saggio, che prosegue una ricerca delle Autrici iniziata con l'analisi del tema a partire dal XVIII secolo , si è approfondito il rapporto che la cultura architettonica d'epoca sovietica ha intrattenuto col mito di Roma, così fecendo nella Russia imperiale. Il mito si è rivelato fecondo anche in epoca sovietica, soprattutto negli anni dello stalinismo, quando si riattiva con forza il mito "imperiale" e della vittoria

    Riflessi del mito di Roma nell'architettura russa. Prima parte. XVIII e XIX secolo.

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    "Toronto Slavic Quarterly. Academic Electronic Journal in Slavic Studies", N. 21, Summer 2007. Progetto di Rita Giulian

    Combination of Genomic Landsscape and 3D Culture Functional Assays Bridges Sarcoma Phenotype to Target and Immunotherapy

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    : Genomic-based precision medicine has not only improved tumour therapy but has also shown its weaknesses. Genomic profiling and mutation analysis have identified alterations that play a major role in sarcoma pathogenesis and evolution. However, they have not been sufficient in predicting tumour vulnerability and advancing treatment. The relative rarity of sarcomas and the genetic heterogeneity between subtypes also stand in the way of gaining statistically significant results from clinical trials. Personalized three-dimensional tumour models that reflect the specific histologic subtype are emerging as functional assays to test anticancer drugs, complementing genomic screening. Here, we provide an overview of current target therapy for sarcomas and discuss functional assays based on 3D models that, by recapitulating the molecular pathways and tumour microenvironment, may predict patient response to treatments. This approach opens new avenues to improve precision medicine when genomic and pathway alterations are not sufficient to guide the choice of the most promising treatment. Furthermore, we discuss the aspects of the 3D culture assays that need to be improved, such as the standardisation of growth conditions and the definition of in vitro responses that can be used as a cut-off for clinical implementation

    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
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