Tecniche di documentazione dei tappeti musivi del sito archeologico di Umm Al-Rasas – Kastron Mefaa (Giordania)

The research expedition of the CNR-ITABC in the archaeological site of Umm Al-Rasas, near Madaba (Jordan) was partially supported by the Italian Foreign Ministry. It started in 2013 and was mainly focused on the 3D documentation of two Byzantine churches with magnificent floor mosaics, dedicated to Saint Stephen and Bishop Sergius respectively. To improve the analysis of the archaeological structures, different investigation techniques were used and reciprocally integrated, in an effort to create geometric models enabling the interpretation of data related to the masonry and floor mosaics, as well as to the documentation of the archaeological area. In order to facilitate handling and mobility, lightweight tools were chosen and Micro Photogrammetry and Close Range Photogrammetry methods were applied. A correct description of the floor warp was achieved thanks to laser scanner techniques and the resulting geometric data were integrated with the chromatic data coming from photogrammetry, obtaining a 3D restitution of the two adjacent structures and a metric and spatial analysis of their morphological features. New devices, specifically designed for the project, helped to solve some practical problems that the survey operations had to cope with during the fieldwork. This paper illustrates the results of the survey, which will be useful to develop restoration projects in order to make the whole archaeological site attractive to tourists

Valuing landslide risk reduction programs in the Italian Alps: the effect of visual information on preference stability

Climate change has increased the frequency and intensity of weather-related natural hazards everywhere. In particular, mountain areas with dense human settlements, such as the Italian Alps, stand to suffer the costliest consequences from landslides. Options for risk management policies are currently being debated among residents and decision makers. Preference analysis of residents for risk reduction programs is hence needed to inform the policy debate. We use discrete choice experiments to investigate the social demand for landslide protection projects. Given the importance of information in public good valuation via surveys, we explore the effect of specific visual information on the stability of preference estimates. In our survey, we elicit preferences before and after providing respondents with scientific-based information, based on visual simulations of possible events. This enables us to measure information effects. Choice data are used to estimate a Mixed Logit (MXL) model in WTP space to obtain robust estimates of marginal willingness-to-pay (mWTP) estimates and control for the effect of information. Mapping posterior individual specific mWTP estimates provide additional policy implications. Overall, we found the mWTP estimates to be dependent on information

Non deterministic Repairable Fault Trees for computing optimal repair strategy

In this paper, the Non deterministic Repairable Fault Tree (NdRFT) formalism is proposed: it allows to model failure modes of complex systems as well as their repair processes. The originality of this formalism with respect to other Fault Tree extensions is that it allows to face repair strategies optimization problems: in an NdRFT model, the decision on whether to start or not a given repair action is non deterministic, so that all the possibilities are left open. The formalism is rather powerful allowing to specify which failure events are observable, whether local repair or global repair can be applied, and the resources needed to start a repair action. The optimal repair strategy can then be computed by solving an optimization problem on a Markov Decision Process (MDP) derived from the NdRFT. A software framework is proposed in order to perform in automatic way the derivation of an MDP from a NdRFT model, and to deal with the solution of the MDP

Rapidly-Disintegrating Laminar Extrudates: Preliminary Experiments upon an Age Appropriate Pediatric Formulation

The aim of the present investigation is to produce rapidly disintegrating laminar extrudates for delivering ibuprofen in the mouth of paediatric patients. This laminar shape is particularly convenient for drug delivering in the mouth and can be easily cut in cut in different sizes allowing for a convenient adjustment of the drug dose depending on the age of the patient. Due to the fact that in paediatric formulations, the selection of the excipients is always a challenging issue and the reduction of their amount is always highly desirable, in this study to select the most appropriate composition to achieve a rapid disintegration and simultaneously permit a high amount of ibuprofen in the system, an experimental design for mixtures was employed and the disintegration time in simulated saliva was used as experimental response. In addition, after solid state analyses to check possible insurgence of drug-excipients interactions, laminar extrudates were characterised in terms of mechanical properties and in vitro dissolution performances. Extrudates with the desired uniform laminar shape, constant thickness (2 mm) and a very high content of drug (82% wt) were produced. These products exhibited a short disintegration time. The dose for a patient of 6-12 years corresponded to a length of extrudate between 1-1.5 cm, perfectly compatible with a formulation orodispersible thin laminar extrudate intended for a paediatric patient (Figure 1)

Ecosystem services' values and improved revenue collection for regional protected areas.

The management of conservation areas is a costly enterprise, especially vulnerable to budget cutting when austerity measures are being considered. Optimal spatial taxation dictates that tax-payers contribute proportionally to the benefits they receive. This paper provides a framework to derive spatially varied benefit estimates for ecosystem services produced in Natura 2000 protected areas of Lombardy (Italy). These may be used as a framework for spatially optimised taxation to improve the efficiency of public funding. In the process we used non-market valuation techniques, as well as benefit functions’ transfer

The GreatSPN tool: recent enhancements

GreatSPN is a tool that supports the design and the qualitative and quantitative analysis of Generalized Stochastic Petri Nets (GSPN) and of Stochastic Well-Formed Nets (SWN). The very first version of GreatSPN saw the light in the late eighties of last century: since then two main releases where developed and widely distributed to the research community: GreatSPN1.7 [13], and GreatSPN2.0 [8]. This paper reviews the main functionalities of GreatSPN2.0 and presents some recently added features that significantly enhance the efficacy of the tool

List of requirements on formalisms and selection of appropriate tools

This deliverable reports on the activities for the set-up of the modelling environments for the evaluation activities of WP5. To this objective, it reports on the identified modelling peculiarities of the electric power infrastructure and the information infrastructures and of their interdependencies, recalls the tools that have been considered and concentrates on the tools that are, and will be, used in the project: DrawNET, DEEM and EPSys which have been developed before and during the project by the partners, and M\uf6bius and PRISM, developed respectively at the University of Illinois at Urbana Champaign and at the University of Birmingham (and recently at the University of Oxford)

Multiple sclerosis disease: A computational approach for investigating its drug interactions

Multiple Sclerosis (MS) is a chronic and potentially highly disabling disease that can cause permanent damage and deterioration of the central nervous system. In Europe it is the leading cause of non-traumatic disabilities in young adults, since more than 700,000 EU people suffer from MS. Although recent studies on MS pathophysiology have been performed, providing interesting results, MS remains a challenging disease. In this context, thanks to recent advances in software and hardware technologies, computational models and computer simulations are becoming appealing research tools to support scientists in the study of such disease. Motivated by this consideration, we propose in this paper a new model to study the evolution of MS in silico, and the effects of the administration of the daclizumab drug, taking into account also spatiality and temporality of the involved phenomena. Moreover, we show how the intrinsic symmetries of the model we have developed can be exploited to drastically reduce the complexity of its analysis