1,721,570 research outputs found
Method of monitoring a disease caused by genomic translocation
The present invention relates to methods of monitoring, diagnosing and gaining insights into the status and prognosis of, in particular, chronic myeloid leukaemia patients based on, for example quantitative analysis of genomic DNA of leukemic cells. It also extends to methods of treatment based on the results of the method
The Differential Expression of SLAM (Cdw150)- Associated Protein (SAP) In Various Human Tissues and Lymphocyte Subpopulations
Le sale cinematografiche negli anni del secondo dopoguerra in Italia: architettura e socialità nei luoghi di Vinicio Vecchi a Modena
The thesis regards construction and re-setting of cinema halls in Italy in the period following the end of the 2nd World War, trying to identify the characters of a real architectural and social phenomenon, related to the diffusion of economic and cultural models aimed to popular masses. The last part of the work examines the case of the city of Modena, regarding the diffusion of cinema halls and the works of the architect V. Vecchi, both considered symbolic references to understand this kind of architectural places
gDNA Q-PCR for clinical monitoring of CML
gDNA-RT-PCR represent a new technique able to detect leukemic cells in CML patients independently from their transcriptional statu
Inverse modeling of geochemical and mechanical compaction in sedimentary basins through Polynomial Chaos Expansion
We present an inverse modeling procedure for the estimation of model parameters of sedi-
mentary basins subject to compaction driven by mechanical and geochemical processes. We consider a
sandstone basin whose dynamics are governed by a set of unknown key quantities. These include geophys-
ical and geochemical system attributes as well as pressure and temperature boundary conditions. We derive
a reduced (or surrogate) model of the system behavior based on generalized Polynomial Chaos Expansion
(gPCE) approximations, which are directly linked to the variance-based Sobol indices associated with the
selected uncertain model parameters. Parameter estimation is then performed within a Maximum Likeli-
hood (ML) framework. We then study the way the ML inversion procedure can benefit from the adoption of
anisotropic polynomial approximations (a-gPCE) in which the surrogate model is refined only with respect
to selected parameters according to an analysis of the nonlinearity of the input-output mapping, as quanti-
fied through the Sobol sensitivity indices. Results are illustrated for a one-dimensional setting involving
quartz cementation and mechanical compaction in sandstones. The reliability of gPCE and a-gPCE approxi-
mations in the context of the inverse modeling framework is assessed. The effects of (a) the strategy
employed to build the surrogate model, leading either to a gPCE or a-gPCE representation, and (b) the type
and quality of calibration data on the goodness of the parameter estimates is then explored
Going Beyond Counting First Authors in Author Co-citation Analysis
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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