1,721,117 research outputs found

    Statistical Methods for Profiling Users in Web Usage Mining

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    This chapter aims at providing an overview about the use of statistical methods supporting the Web Usage Mining. Within the first part is described the framework of the Web Usage Mining as a branch of the Web Mining committed to the study of how to use a website. Then, the data (object of the analysis) are detailed together with the problems linked to the pre-processing. Once clarified, the data origin and their treatment for a correct development of a Web Usage analysis,the focus shifts on the statistical techniques that can be applied to the analysis background, with reference to binary segmentation methods. Those latter allow the discrimination through a response variable that determines the affiliation of the users to a group by considering some characteristics detected on the same users

    La dimora palermitana dei futuri sovrani francesi

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    La storia del cantiere di costruzione dell'edificio neoclassico; la descrizione degli ampliamenti e degli ammodernamenti successivi basata su una ricca testimonianza documentaria

    Lumacaftor and matrine: Possible therapeutic combination to counteract the inflammatory process in cystic fibrosis

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    Cystic fibrosis is a monogenic, autosomal, recessive disease characterized by an alteration of chloride transport caused by mutations in the CFTR (Cystic Fibrosis Transmembrane Conductance Regulator) gene. The loss of Phe residue in position 508 (∆F508-CFTR) causes an incorrect folding of the protein causing its degradation and electrolyte imbalance. CF patients are extremely predisposed to the development of a chronic inflammatory process of the bronchopulmonary system. When the cells of a tissue are damaged, the immune cells are activated and trigger the production of free radicals, provoking an inflammatory process. In addition to routine therapies, today drugs called correctors are available for mutations such as ∆F508-CFTR as well as for others less frequent ones. These active molecules are supposed to facilitate the maturation of the mutant CFTR protein, allowing it to reach the apical membrane of the epithelial cell. Matrine induces ∆F508-CFTR release from the endoplasmic reticulum to cell cytosol and its localization on the cell membrane. We now have evidence that Matrine and Lumacaftor not only restore the transport of mutant CFTR protein, but probably also counteract the inflammatory process by improving the course of the disease

    The role of MRI in prostate cancer management: pushing the diagnostic frontier

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    The role of Magnetic Resonance Imaging (MRI) in prostate cancer (PCa) diagnostic work-up has drastically changed over the last 40 years. Years of innovations have produced outstanding advances in diagnostic imaging and MR-guided interventional procedures. In early 2019, the updated version of the PI-RADS score system was released. The same year a real breakthrough occurred when the updated version of the European Association of Urology (EAU) guidelines was released: MRI is currently recommended as the first line imaging modality for biopsy-naive patients. Among all the published studies supporting the use of MRI in the diagnostics of PCa, robust trials have played a pivotal role: The PROMIS study, the MRI-FIRST study, the PRECISION study and the 4M trial. The success of MRI is heavily dependent on high-quality image acquisition and interpretation to minimise the number of equivocal cases, standardise negative MRIs, reduce overdiagnosis and overtreatment and promote biopsy improvement and focal therapeutic approaches. Future perspectives include the spread of non-contrast MRI as the most efficient way to face the expected upcoming large number of MRI requests for PCa diagnosis and the application of artificial intelligence-based tools that might profoundly shape modern imaging, with major implications for medical practice. The goal is to review PCa natural history and management, with an insight on MRI applications and future perspectives

    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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