A novel map-matching procedure for low-sampling GPS data with applications to traffic flow analysis

An extensive sample (2%) of private vehicles in Italy are equipped with a GPS device that periodically measures their position and dynamical state for insurance purposes. Having access to this type of data allows to develop theoretical and practical applications of great interest: the real-time reconstruction of traffic state in a certain region, the development of accurate models of vehicle dynamics, the study of the cognitive dynamics of drivers. In order for these applications to be possible, we first need to develop the ability to reconstruct the paths taken by vehicles on the road network from the raw GPS data. In fact, these data are affected by positioning errors and they are often very distanced from each other (~2 Km). For these reasons, the task of path identification is not straightforward. This thesis describes the approach we followed to reliably identify vehicle paths from this kind of low-sampling data. The problem of matching data with roads is solved with a bayesian approach of maximum likelihood. While the identification of the path taken between two consecutive GPS measures is performed with a specifically developed optimal routing algorithm, based on A* algorithm. The procedure was applied on an off-line urban data sample and proved to be robust and accurate. Future developments will extend the procedure to real-time execution and nation-wide coverage.

Cell Host-Microbe Interactions: Turning Pathogen Mechanisms Into Cell's Advantages

Host-Pathogen Interaction is a very vast field of biological sciences, indeed every year many un- known pathogens are uncovered leading to an exponential growth of this field. The present work lyes between its boundaries, touching different aspects of host-pathogen interaction: We have evaluate the permissiveness of Mesenchimal Stem cell (FM-MSC from now on) to all known human affecting herpesvirus. Our study demonstrate that FM-MSC are full permissive to HSV1, HSV2, HCMV and VZV. On the other hand HHV6, HHV7, EBV and HHV8 are susceptible, but failed to activate a lytic infection program. FM-MSC are pluripotent stem cell and have been studied intensely in last decade. FM-MSC are employed in some clinical applications. For this reason it is important to known the degree of susceptibility to transmittable pathogens. Our atten- tion has then moved to bacterial pathogens: we have performed a proteome-wide in silico analy- sis of Chlamydiaceae family, searching for putative Nuclear localization Signal (NLS). Chlamy- diaceae are a family of obligate intracellular parasites. It’s reasonably to think that its members could delivered to nucleus effector proteins via NLS sequences: if that were the case the identifi- cation of NLS carrying proteins could open the way to therapeutic approaches. Our results strengthen this hypothesis: we have identified 72 protein bearing NLS, and verified their func- tionality with in vivo assays. Finally we have conceived a molecular scissor, creating a fusion protein between HIV-1 IN protein and FokI catalytic domain (a deoxyexonuclease domain). Our aim is to obtain chimeric enzyme (trojIN) which selectively identify IN naturally occurring target (HIV LTR sites) and cleaves subsequently LTR carrying DNA (for example integrated HIV1 DNA). Our preliminary results are promising since we have identified trojIN mutated version capable to selectively recognize LTR carrying DNA in an in vitro experiments.