University of Turin

About: University of Turin is a education organization based out in Turin, Piemonte, Italy. It is known for research contribution in the topics: Population & Cancer. The organization has 29607 authors who have published 77952 publications receiving 2480900 citations. The organization is also known as: Universita degli Studi di Torino & Università degli Studi di Torino.

Lentiviral vectors: excellent tools for experimental gene transfer and promising candidates for gene therapy.

Abstract: Lentiviral vectors are tools for gene transfer derived from lentiviruses. From their first application to now they have been strongly developed in design, in biosafety and in their ability of transgene expression into target cells. Primate and non-primate derived lentiviral vectors are now available and with both types of systems a lot of studies tuned to improve their performances in a large number of tissues are ongoing. Here we review the state of the art of lentiviral vector systems discussing their potential for gene therapy.

Irreversibility and Aggregate Investment

Abstract: Investment is often irreversible: once installed, capital has little or no value unless used in production. This paper proposes and solves a model of sequential irreversible investment and characterizes the aggregate implications of microeconomic irreversibility and idiosyncratic uncertainty. If a large amount of idiosyncratic uncertainty is allowed for, the distributional dynamics induced by the nonlinear character of irreversible investment policies are capable of smoothing the dynamics of aggregate investment (relative to those of its forcing processes) to the extent required by U.S. data.

Drug Effects on Aldosterone/Plasma Renin Activity Ratio in Primary Aldosteronism

Abstract: Primary aldosteronism is a specifically treatable and potentially curable form of secondary hypertension. The aldosterone/plasma renin activity ratio (ARR) is routinely used as a screening test. An...

Nonlinear Ocean Wave and the Inverse Scattering Transform

Abstract: Publisher Summary The Fourier transform has provided one of the most important mathematical tools for understanding the dynamics of linear wave trains that are presumed to be governed by linear partial differential equations with a well-defined dispersion relation. The aim of this chapter is to review the development and understanding of the nonlinear Fourier analysis of measured space and time series. The approach is based upon a generalization of linear Fourier analysis referred to as the inverse scattering transform (IST) and its generalizations. From a mathematical point of view, IST solves particular “integrable” nonlinear partial differential wave equations such as the Korteweg-de Vries (KdV), the nonlinear Schrodinger (NLS) and the Kadomtsev–Petviashvili (KP) equations. Because of the mathematical complexity of these theories of nonlinear wave propagation, one cannot expect to bridge all the physical possibilities for the analysis of nonlinear wave data in a single review. The chapter closes with a brief introduction to the application of the inverse scattering transform as a time series analysis tool.