MS2G as pillar for developing strategic engineering as a new discipline for complex problem solving

Simulation science is a strategic resource to address most challenging problems; in this paper, it is provided an overview about how new simulation capabilities, such as that ones based on MS2G (Modeling, interoperable Simulation and Serious Games), could enable to address complex systems and to support decision making; in addition, the new Strategic Engineering Discipline is proposed as framework where to combine all these new approaches for Problem Solving and Strategic Planning nowadays; several real examples are proposed as case studies to confirm the validity of these innovative concepts

A Simulation of One Dimensional Contaminant Transport

In this note we present some simulations and some analytical solutions, in closed form, of the advection dispersion equation in one-dimensional domain. These solutions are obtained for not-conservative solutes by considering time-dependent, third type (Robin) boundary condition for first order reaction and linear equilibrium absorption. The Robin boundary condition models a combined production-decay function. The model is useful to describe sources as the contaminant release due to the failure of an underground pipelines or radioactive decay series. The developed analytical model gives rise to analytical solutions not present in the literature. Further, we remark that, for particular values of the rate constants involved in the model, our results furnish values which are in agreement with results present in the literature

HYPERBARIC PLANT SIMULATION FOR INDUSTRIAL APPLICATIONS

Several industrials sectors require to extend underwater capabilities by adopting alternative and multiple solutions both involving human divers as well as robotic technologies such as ROVs & AUVs. In general the main mandate is to improve performance reducing costs and risks. On the other side, new technologies and advancements are enabling to further develop the potential of the above mentioned solutions; for instance the authors propose a new generation of computer based Hyperbaric Plant Simulators that are pretty promising for improving training & education without rising costs of underwater man based operations. This paper proposes an innovative approach in M&S for the Hyperbaric Life Support Supervisors (LSS) as well as other operators active into diving activities

SIMULATION AS DECISION SUPPORT SYSTEM FOR DISASTER PREVENTION

This paper describes the overall architecture of a simulator developed by Simulation Team and Genova University to address the problem of strategic decision making related to prevention and mitigation of natural disasters risks. The proposed approach combines a Decision Support System for supporting decision makers in strategic planning with interoperable simulation and serious games. The scenario used for the validation in this case focuses with a particular attention on hydrogeology and related risks within urban environments. The authors propose a multilevel and multi resolution simulation able to match the models of the flooding with that one of the population reproducing interest groups as well as single people. Indeed the population is simulated by intelligent agents (IAs) that include physiological, social and psychological parameters reproducing feelings and emotions that allow them to live and move inside the virtual city both in normal conditions as well as during the disasters. In facts in normal conditions works devoted to serve as preventive actions devoted to prevent certain events and or mitigate their impact are carried out; vice versa during the crisis, decisions change addressing the identification of convenient operational planning and/or evacuation site. Each time, an action is undertaken by the decision makers, the IAs react dynamically by changing their feelings and their political consensus, so it becomes possible to plan the actions in an effective way by maintaining the consensus and support of the population

Changes occurring in immune responsiveness of single- and twin-bearing Comisana ewes during the transition period.

Changes induced by twin and single lambing in the immune response of 16 periparturient Comisana ewes were studied. Cell-mediated immune responses were evaluated by means of skin tests performed from 3 wk before and up to d 35 after parturition. At d 21 and 7 before lambing, the sheep received an intramuscular injection of the antigen keyhole limpet hemocyanin (KLH), to which the animals had not been previously exposed, to determine their humoral immune response. Starting 3 wk before lambing and up to d 35 postlambing, the ewes were sampled to determine the plasma concentrations of anti-KLH antibody (IgG), IL-6, and IL-1 beta. From parturition through d 35 postpartum, individual milk samples were collected for determination of anti-KLH IgG titers and IL-6 and IL-1beta concentrations by means of a capture ELISA. The number of lambs born affected IL-6 concentrations in ewe plasma; IL-6 secretion always was higher in ewes birthing twins than in single-lambing ewes. Apart from the number of lambs born, the concentrations of plasma IL-6 in ewes were higher at lambing than at d 21 antepartum and at d 35 postpartum. An interaction of number of lambs born x time of sampling was observed for plasma antibody titers to KLH. The IgG concentrations were significantly higher in single-bearing ewes than in twin-bearing ewes before parturition and were very similar across groups after parturition. A time effect was found for the cell-mediated immune response and for anti-KLH IgG concentrations in milk, such that at parturition, cellular responses were lowest, and the anti-KLH IgG concentration was highest. A significant correlation was found for IgG titers to KLH in plasma and milk. Results indicate that IL-6 concentrations in blood can be considered a reliable indicator of stress connected to lambing and that the mammary gland is a microenvironment unrelated to blood stream with respect to interleukins expression. In contrast, a relationship was found for the IgG secretions in milk and blood, which suggests that the assessment of humoral immune status may be combined with milking routine in dairy animals

Axion search with a quantum-limited ferromagnetic haloscope

A ferromagnetic axion haloscope searches for Dark Matter in the form of axions by exploiting their interaction with electronic spins. It is composed of an axion-to-electromagnetic field transducer coupled to a sensitive rf detector. The former is a photon-magnon hybrid system, and the latter is based on a quantum-limited Josephson parametric amplifier. The hybrid system consists of ten 2.1 mm diameter YIG spheres coupled to a single microwave cavity mode by means of a static magnetic field. Our setup is the most sensitive rf spin-magnetometer ever realized. The minimum detectable field is $5.5\times10^{-19}\,$T with 9 h integration time, corresponding to a limit on the axion-electron coupling constant $g_{aee}\le1.7\times10^{-11}$ at 95% CL. The scientific run of our haloscope resulted in the best limit on DM-axions to electron coupling constant in a frequency span of about 120 MHz, corresponding to the axion mass range $42.4$-$43.1\,\mu$eV. This is also the first apparatus to perform an axion mass scanning by changing the static magnetic field.Comment: 4 pages, 4 figure

POPULATION BEHAVIOR, SOCIAL NETWORKS, TRANSPORTATIONS, INFRASTRUCTURES, INDUSTRIAL AND URBAN SIMULATION

Crisis prevention and management are critical tasks for a public administration. In facts, a complex system such as a city could be difficult to keep under control, even in regular conditions, while respect emergencies it is very hard to finalize good preventive and operational plans. In order to succeed in such tasks, it is necessary to have proper support tools, capable to evaluate alternatives and predict effect of decisions in different conditions. To address such issues, the authors developed PONTUS (Population Behavior, social Networks, Transportations, Infrastructures and Industrial & Urban Simulation) which combines ability to model natural disasters with advanced human behaviors of the population