Search results for "HB"

Premature ovarian senescence and a high miscarriage rate impair fertility in women with HCV

2017

Background & Aims Premenopausal women who are HCV positive (HCV+) have failing ovarian function, which is likely to impact their fertility. Thus, we investigated the reproductive history, risk of infertility, and pregnancy outcomes in women of childbearing age who were HCV+. Methods Three different groups were studied: (1) Clinical cohort: 100 women who were HCV+ and also had chronic liver disease (CLD), age matched with 50 women who were HBV+ with CLD and with 100 healthy women; all women were consecutively observed in three gastroenterology units in hospitals in Italy; (2) 1,998 women who were HCV+ and enrolled in the Italian Platform for the Study of Viral Hepatitis Therapies (PITER)…

A randomized trial of peginterferon alpha-2a with or without ribavirin for HBeAg-negative chronic hepatitis B

2010

From recovery manuals to historic and construction building information modeling (h-BIM). Strategies for historical Sicilian centres

2018

Il recupero dei centri storici costituisce oggi, oltre che un obiettivo prioritario di qualsiasi politica urbana, anche una attività di grande interesse strategico ed economico. Molte sono state le ricerche e le politiche di sostegno concernenti interventi sull’esistente, dettate da una sensibilità per il recupero del patrimonio edilizio della città storica; ciò ha reso necessario l'analisi e lo studio specifico delle tecniche costruttive. Nonostante il complesso quadro normativo e vincolistico, gli interventi sui centri storici continuano però ad essere in molti casi condotti in maniera impropria. L’uso di materiali e tecniche incolte, trasferite dal cantiere moderno a quello di recupero, …

BIM Modelling of Ancient Buildings

2018

In the last years, new procedures on design and management of constructions, based on 3D standardised models of building elements, have been proposed. It’s the case of Building Information Modelling (BIM) applications, that, differently from CAD ones, allow to work with libraries of 3D parametrical objects (smart objects) describing geometric, structural and material properties of building elements. This methodology is based on the Industry Foundation Classes (IFC) model, that represents a global standard for the building data exchange. Initially used for the design of new architectures, BIM methodology has been even more considered also for the management and the conservation of historical…

Mapping child maltreatment risk: a 12-year spatio-temporal analysis of neighborhood influences.

2017

Abstract Background ‘Place’ matters in understanding prevalence variations and inequalities in child maltreatment risk. However, most studies examining ecological variations in child maltreatment risk fail to take into account the implications of the spatial and temporal dimensions of neighborhoods. In this study, we conduct a high-resolution small-area study to analyze the influence of neighborhood characteristics on the spatio-temporal epidemiology of child maltreatment risk. Methods We conducted a 12-year (2004–2015) small-area Bayesian spatio-temporal epidemiological study with all families with child maltreatment protection measures in the city of Valencia, Spain. As neighborhood units…

Data mining, dashboards and statistics: a powerful framework for the chemical design of molecular nanomagnets

2021

Abstract Three decades of intensive research in molecular nanomagnets have brought the magnetic memory in molecules from liquid helium to liquid nitrogen temperature. The enhancement of this operational temperature relies on a wise choice of the magnetic ion and the coordination environment. However, serendipity, oversimplified theories and chemical intuition have played the main role. In order to establish a powerful framework for statistically driven chemical design, we collected chemical and physical data for lanthanide-based nanomagnets to create a catalogue of over 1400 published experiments, developed an interactive dashboard (SIMDAVIS) to visualise the dataset, and applied inferentia…

Optimal Pruned K-Nearest Neighbors: OP-KNN Application to Financial Modeling

2008

The paper proposes a methodology called OP-KNN, which builds a one hidden-layer feed forward neural network, using nearest neighbors neurons with extremely small computational time. The main strategy is to select the most relevant variables beforehand, then to build the model using KNN kernels. Multi-response sparse regression (MRSR) is used as the second step in order to rank each k-th nearest neighbor and finally as a third step leave-one-out estimation is used to select the number of neighbors and to estimate the generalization performances. This new methodology is tested on a toy example and is applied to financial modeling.

Sicurezza dell'associazione Etanercept/Lamivudina in un paziente con artrite reumatoide ed infezione cronica da HBV

2006

Temperature interpolation by local information ; the example of France

2010

International audience; Methods of interpolation, whether based on regressions or on kriging, are global methods in which all the available data for a given study area are used. But the quality of results is affected when the study area is spatially very heterogeneous. To overcome this difficulty, a method of local interpolation is proposed and tested here with temperature in France. Starting from a set of weather stations spread across the country and digitized as 250 m-sided cells, the method consists in modelling local spatial variations in temperature by considering each point of the grid and the n weather stations that are its nearest neighbours. The procedure entails a series of steps…

Moving from North to North: how are the students’ university flows?

2021

AbstractStudent mobility has been much commented upon and much studied. Student mobility has social, economic, and political consequences. This form of mobility is relevant, in Italy, in terms of south-north flows, while the mobility of northern students toward the South and Centre of Italy is negligible. To the best of our knowledge, a proper focus on the dynamics among northern regions has not yet been carried out. This study focuses on the interregional mobility of northern first-year students. To this end, we use a longitudinal dataset with students’ individual histories from 2008 to 2017, obtained from the cohort-based datasets collected using the Italian Ministry of University’s admin…