Implementation of a model for the horizontal gradients in the ESA retrieval algorithm for MIPAS
Neglecting the horizontal variability of the atmosphere in the forward model for the simulation of limb emission radiances causes a systematic error in MIPAS retrieved profiles. The horizontal gradient model will be introduced into the Optimized Retrieval Model (ORM) v8, which will be used for the final ESA reprocessing of the whole mission. Several optimizations exploiting the spherical symmetry of the atmosphere can no longer be used. Therefore, both the ray tracing and the radiative transfer integration algorithms have been completely rewritten.
Coupling weakly-compressible SPH with Finite Volume Method: an algorithm for simulating free-surface flows
An algorithm for coupling a classical Finite Volume (FV) approach, that discretize the Navier-Stokes equations on a block structured Eulerian grid, with the weakly-compressible SPH is presented. The coupling procedure aims at applying each solver in the region where its intrinsic characteristics can be
exploited in the most efficient and accurate way: the FV solver is used to resolve the bulk flow and the wall regions, whereas the SPH solver is implemented in the free surface region to capture details of the front evolution.
A numerical algorithm for the assessment of the conjecture of a subglacial lake tested at Amundsenisen, Svalbard
The melting of glaciers coming with climate change threatens the heritage of the last glaciation of Europe likely contained in subglacial lakes in Greenland and Svalbard. This aspect urges specialists to focus their studies (theoretical, numerical, and on-field) on such fascinating objects. Along this line, we have approached the validation of the conjecture of the existence of a subglacial lake beneath the Amundsenisen Plateau at South-Spitzbergen, Svalbard, where ground penetrating radar measurements have revealed several flat signal spots, the sign of the presence of a body of water.
Ultrasensitive HCV RNA Quantification in Antiviral Triple Therapy: New Insight on Viral Clearance Dynamics and Treatment Outcome Predictors.
Objectives
Identifying the predictive factors of Sustained Virological Response (SVR) represents an important challenge in new interferon-based DAA therapies. Here, we analyzed the kinetics of antiviral response associated with a triple drug regimen, and the association between negative residual viral load at different time points during treatment.
Methods
Twenty-three HCV genotype 1 (GT 1a n = 11; GT1b n = 12) infected patients were included in the study.
Tuning of level-set speed function for speckled image segmentation
The segmentation of speckled images, as the synthetic aperture radar (SAR) images, is usually recognized as a very complex problem, because of the speckle, multiplicative noise, which produces granular images. In segmentation problems, based on level set method, the evolution of the curve is determined by a speed function, which is fundamental to achieve a good segmentation. In this paper we propose a study of the new speed function obtained by the linear combination of image average intensity and image gradient speed functions.
Analysis of free-surface flows through energy considerations: Single-phase versus two-phase modeling
The study of energetic free-surface flows is challenging because of the large range of interface scales involved due to multiple fragmentations and reconnections of the air-water interface with the formation of drops and bubbles. Because of their complexity the investigation of such phenomena through numerical simulation largely increased during recent years. Actually, in the last decades different numerical models have been developed to study these flows, especially in the context of particle methods.
Assessment of blockage effects in wind tunnel testing of wind turbines
The aim of the present paper is the analysis of simplified boundary conditions to be used in numerical
simulations, to take into account blockage effects for wind tunnel experiments of large scale wind tur-
bines.
A leaky integrate-and-fire model with adaptation for the generation of a spike train
A model is proposed to describe the spike-frequency adaptation observed in many neuronal systems. We assume that adaptation is mainly due to a calcium-activated potassium current, and we consider two coupled stochastic differential equations for which an analytical approach combined with simulation techniques and numerical methods allow to obtain both qualitative and quantitative results about asymptotic mean firing rate, mean calcium concentration and the firing probability density. A related algorithm, based on the Hazard Rate Method, is also devised and described.
A hierarchical Krylov-Bayes iterative inverse solver for MEG with physiological preconditioning
Magnetoencephalopgraphy (MEG) is a non-invasive functional imaging modality for
mapping cerebral electromagnetic activity from measurements of the weak magnetic
field that it generates. It is well known that the MEG inverse problem, i.e. the problem of
identifying electric currents from the induced magnetic fields, is a severely
underdetermined problem and, without complementary prior information, no unique
solution can be found.