Innovative therapeutic approaches for the atrophic Age-related Macular Degeneration (“dry” AMD)

Age related macular degeneration (AMD) is a major concern regarding blindness in the world. In western countries, where visual alterations due to minor pathologies as cataract and uncorrected refractive errors are easily resolved, AMD represent the main cause of blindness. Of the two existing forms of the disease, while the neovascular is more aggressive and progress quickly, geographic atrophy is the one still lacking an appropriate therapy. My PhD program was focused on investigating AMD features, trying to understand if some approaches I tested could be able to provide some suggestion about potential future therapies on “dry” AMD. In my research I developed three main projects. The most important part of the work regards the study of integrins and their fundamental role in cell adhesion in a context of interaction between retinal pigmented epithelium (RPE) and immune cells. I investigated how co-culture of these different cell lines can lead to simulate an inflammatory state inducing cell signaling, cytokine production and cell death. The use of integrin antagonists developed in our laboratory, showed how these effects can be reverted. A secondary approach regards the use of antioxidants and their role in epigenetic modifications in ARPE-19 cells to investigate how these compounds might exert their well-known protective role on AMD. Commonly used antioxidants as Lutein and Quercetin do not induce clear epigenetic modifications through histone H3 acetylation indicating only a limited involvement.

An Integrated Transmission-Media Noise Calibration Software For Deep-Space Radio Science Experiments

The thesis describes the implementation of a calibration, format-translation and data conditioning software for radiometric tracking data of deep-space spacecraft. All of the available propagation-media noise rejection techniques available as features in the code are covered in their mathematical formulations, performance and software implementations. Some techniques are retrieved from literature and current state of the art, while other algorithms have been conceived ex novo. All of the three typical deep-space refractive environments (solar plasma, ionosphere, troposphere) are dealt with by employing specific subroutines. Specific attention has been reserved to the GNSS-based tropospheric path delay calibration subroutine, since it is the most bulky module of the software suite, in terms of both the sheer number of lines of code, and development time. The software is currently in its final stage of development and once completed will serve as a pre-processing stage for orbit determination codes. Calibration of transmission-media noise sources in radiometric observables proved to be an essential operation to be performed of radiometric data in order to meet the more and more demanding error budget requirements of modern deep-space missions. A completely autonomous and all-around propagation-media calibration software is a novelty in orbit determination, although standalone codes are currently employed by ESA and NASA. The described S/W is planned to be compatible with the current standards for tropospheric noise calibration used by both these agencies like the AMC, TSAC and ESA IFMS weather data, and it natively works with the Tracking Data Message file format (TDM) adopted by CCSDS as standard aimed to promote and simplify inter-agency collaboration.

Statistical analysis of the error associated with the simplification of the stratigraphy in geotechnical models

The uncertainties in the determination of the stratigraphic profile of natural soils is one of the main problems in geotechnics, in particular for landslide characterization and modeling. The study deals with a new approach in geotechnical modeling which relays on a stochastic generation of different soil layers distributions, following a boolean logic – the method has been thus called BoSG (Boolean Stochastic Generation). In this way, it is possible to randomize the presence of a specific material interdigitated in a uniform matrix. In the building of a geotechnical model it is generally common to discard some stratigraphic data in order to simplify the model itself, assuming that the significance of the results of the modeling procedure would not be affected. With the proposed technique it is possible to quantify the error associated with this simplification. Moreover, it could be used to determine the most significant zones where eventual further investigations and surveys would be more effective to build the geotechnical model of the slope. The commercial software FLAC was used for the 2D and 3D geotechnical model. The distribution of the materials was randomized through a specifically coded MatLab program that automatically generates text files, each of them representing a specific soil configuration. Besides, a routine was designed to automate the computation of FLAC with the different data files in order to maximize the sample number. The methodology is applied with reference to a simplified slope in 2D, a simplified slope in 3D and an actual landslide, namely the Mortisa mudslide (Cortina d’Ampezzo, BL, Italy). However, it could be extended to numerous different cases, especially for hydrogeological analysis and landslide stability assessment, in different geological and geomorphological contexts.