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Search Results: 1 - 10 of 4446 matches for " Paola Mancino "
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Induction with ribavirin in a relapsing patient with chronic HCV hepatitis
Ucciferri, Claudio;Mancino, Paola;Vignale, Francesca;Vecchiet, Jacopo;Falasca, Katia;
Brazilian Journal of Infectious Diseases , 2012, DOI: 10.1590/S1413-86702012000300015
Abstract: in this case, a new possible strategy for treatment of hepatitis c virus (hcv) relapsing patients is described. the target of anti-hcv therapy is sustained viral response, but strategies for improving sustained viral response in relapsing patients would be useful, and ribavirin is crucial for obtaining viral response. six weeks of induction therapy with ribavirin were used to improve efficacy of standard combined antiviral therapy in a patient relapsing to standard therapy. in the present case, the patient had undergone a retreatment with the same regimen with the exception of the six-week induction period with ribavirin. use of induction therapy with ribavirin in this case has allowed for a sustained viral response without prolonging the interferon exposure time in retreatment.
USE OF HEMATOPOIETIC GROWTH FACTOR IN THE MANAGEMENT OF HEMATOLOGICAL SIDE EFFECTS ASSOCIATED TO ANTIVIRAL TREATMENT FOR HCV HEPATITIS
Paola Mancino,Katia Falasca,Claudio Ucciferri,Eligio Pizzigallo
Mediterranean Journal of Hematology and Infectious Diseases , 2010, DOI: 10.4084/mjhid.2011.
Abstract: Haematological abnormalities are common during combination antiviral therapy for chronic hepatitis C. Although dose reduction or discontinuation can easily treat these side effects, they can adversely affect the efficacy of combination antiviral therapy reducing the likelihood of a sustained viral response (SVR). To avoid potentially diminishing a patient’s chance of response, many physicians have begun using growth factors off-label to manage anaemia and neutropenia in hepatitis C. Haematopoietic growth factors are generally well tolerated and they may be useful for managing haematological side effects of anti-HCV therapy improving patients’ quality of life. To date, the role and benefit of these agents during anti-HCV therapy and their positive impact on SVR have not conclusively determined in the published studies. However, the possibility of a benefit to individual outpatients remains, and an individualized approach is recommended. This review explores the incidence, clinical significance, and management of anaemia, neutropenia and thrombocytopenia associated with combination therapy for HCV infection.
Il cittadino come arbitro e le trasformazioni della politica
Nicola Mancino
Scienza & Politica : per una Storia delle Dottrine , 2003, DOI: 10.6092/issn.1825-9618/2866
Abstract: Il cittadino come arbitro e le trasformazioni della politica
A Fourier transform method for nonparametric estimation of multivariate volatility
Paul Malliavin,Maria Elvira Mancino
Statistics , 2009, DOI: 10.1214/08-AOS633
Abstract: We provide a nonparametric method for the computation of instantaneous multivariate volatility for continuous semi-martingales, which is based on Fourier analysis. The co-volatility is reconstructed as a stochastic function of time by establishing a connection between the Fourier transform of the prices process and the Fourier transform of the co-volatility process. A nonparametric estimator is derived given a discrete unevenly spaced and asynchronously sampled observations of the asset price processes. The asymptotic properties of the random estimator are studied: namely, consistency in probability uniformly in time and convergence in law to a mixture of Gaussian distributions.
The Employment of Young Graduates in the Period 2000-2010: A Comparison between Six European Countries  [PDF]
Paola Potestio
Modern Economy (ME) , 2011, DOI: 10.4236/me.2011.25099
Abstract: The paper aims to assess the relative importance of participation and unemployment and the interaction between them in affecting the evolution of employment rates of young graduates in selected European countries. The Taylor formula is used to read the behaviour of employment rates in terms of movements in activity and unemployment rates. Using this analytical procedure, the comparison between the selected countries underscores two aspects in particular: the progressive isolation of Italy, due to the poor results of the reform of the higher education system at the end of the 1990s, and the widespread progress within the female segments. On a more general plane, the heterogeneity of European labour markets for young graduates assumes new characteristics in the decade but—it is argued—it remains significant. The relative importance of participation and unemployment, the impact of the reforms of the higher education system, the reaction to the crisis of the late 2000s, and the gender aspects sharply differentiate the evolution of young graduate employment in the individual countries.
Spatial interpolation methods for monthly rainfalls and temperatures in Basilicata
Fiorenzo F,Mancino G,Borghetti M,Ferrara A
Forest@ , 2008, DOI: 10.3832/efor0550-0050337
Abstract: Spatial interpolated climatic data on grids are important as input in forest modeling because climate spatial variability has a direct effect on productivity and forest growth. Maps of climatic variables can be obtained by different interpolation methods depending on data quality (number of station, spatial distribution, missed data etc.) and topographic and climatic features of study area. In this paper four methods are compared to interpolate monthly rainfall at regional scale: 1) inverse distance weighting (IDW); 2) regularized spline with tension (RST); 3) ordinary kriging (OK); 4) universal kriging (UK). Besides, an approach to generate monthly surfaces of temperatures over regions of complex terrain and with limited number of stations is presented. Daily data were gathered from 1976 to 2006 period and then gaps in the time series were filled in order to obtain monthly mean temperatures and cumulative precipitation. Basic statistics of monthly dataset and analysis of relationship of temperature and precipitation to elevation were performed. A linear relationship was found between temperature and altitude, while no relationship was found between rainfall and elevation. Precipitations were then interpolated without taking into account elevation. Based on root mean squared error for each month the best method was ranked. Results showed that universal kriging (UK) is the best method in spatial interpolation of rainfall in study area. Then cross validation was used to compare prediction performance of tree different variogram model (circular, spherical, exponential) using UK algorithm in order to produce final maps of monthly precipitations. Before interpolating temperatures were referred to see level using the calculated lapse rate and a digital elevation model (DEM). The result of interpolation with RST was then set to originally elevation with an inverse procedure. To evaluate the quality of interpolated surfaces a comparison between interpolated and measured temperatures at eight sites from an independent dataset was done. There was a good agreement with mean R2 = 0.99 (mean RMSE = 0.6 °C). Based on this results universal kriging estimates and RST were used to produce monthly rainfall and temperature maps for Basilicata region aimed at using as quality input in forest modeling.
Review on the use and the application of the ESA (Environmental Sensitive Areas) methodology and updating of the map of environmental sensitivity areas to desertification for the Basilicata Region, Italy.
Ferrara A,Mancino G,Urbano V,Coletta V
Forest@ , 2010, DOI: 10.3832/efor0627-007
Abstract: The estimation of environmental sensibility to desertification at regional scale requires the setting up of elaboration and updating methodologies capable of handling considerable amounts of data in an integrated approach. This would allow evaluating the different stages of environmental degradation as well as the existing interactions among the singular components of the territory. These maps are also strongly related to climate conditions, land use changes and new data availability. The present paper proposes a complete review on the environmental sensibility areas index (ESA) methodology and its applicability in the Mediterranean context as an environmental management tool and a methodology for updating an ESA map, applied on the Basilicata Region (Southern Italy). The ESA map updating process with new spatial data sets, beside the interests for the updated information, represents a methodological reference for using and converting new spatial layer information into such scheme. An analysis of the differences among the two risk maps (past and present) is also presented.
Map of desertification-prone areas in the Basilicata region, Italy
Ferrara A,Bellotti A,Faretta S,Mancino G
Forest@ , 2005,
Abstract: The estimation of Environmental Sensibility to desertification at regional scale requires the setting up of elaboration and updating methodologies capable of handling considerable amounts of data in an integrated approach. This would allow evaluating the different stages of environmental degradation as well as the existing interactions among the singular components of the territory. The present paper proposes a methodology for evaluating Environmental Sensibility of the Basilicata Region that foresees the integration of alphanumeric and cartography data with remote sensed images, using Geographic Information Systems. This approach does not only guarantee easy management of the collected data, continuous updating and rapid interpretation but it also offers the possibility to analyse the factors causing the phenomena in progress.
Assessing water quality by remote sensing in small lakes: the case study of Monticchio lakes in southern Italy
Mancino G,Nolè A,Urbano V,Amato M
iForest : Biogeosciences and Forestry , 2009, DOI: 10.3832/ifor0507-002
Abstract: In order to investigate bio-physical parameters associated with water quality, a model based on calibrated and atmospherically corrected Remotely Sensed data has been implemented. Secchi Disk depth and chlorophyll concentration parameters were estimated in a system of very small lakes at Monticchio (Italy) using Landsat TM data. The model was developed through the use of stepwise multiple regression and gave high coefficients of determination (R2 = 0.82 for Secchi Disk and R2 = 0.72 for chlorophyll). Values for water transparency were strongly correlated with chlorophyll a concentration: a linear relationship between the two parameters showed a high coefficient of determination (R2 = 0.93). The case study shows that the application of this approach on lakes with a small surface area, such as the Monticchio lakes in Southern Italy, is effective and the developed model well describes the water quality parameters.
An Integrated Statistical Model to Measure Academic Teaching Quality  [PDF]
Paola Cerchiello, Paolo Giudici
Open Journal of Statistics (OJS) , 2012, DOI: 10.4236/ojs.2012.25063
Abstract: The aim of this paper is to present a new proposal for the classification of Academic institutions in terms of quality of teaching. Our methodological proposal borrows concepts from operational risk, such as scorecard models, employed to assess University performances, on the basis of both the perceived and the actual quality. We propose to summarize opinion data using new non parametric indexes able to exploit efficiently the ordinal nature of the analysed variables and to integrate different sources of data. In particular we show how web survey methods can improve the quality and robustness of collected data, especially when integrated with students career data. Empirical evidence is given on the basis of real data from the University of Pavia.
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