Push for higher peaks - moncler continues to expand globally

The following equity research is being conducted with the goal of determining the value of Moncler S.p.a.The Discounted Cash Flow (DCF) approach was primarily used for this evaluation, along with a Multiple Assessment and a Market share analysis. The DCF analysis concludes that Moncler is undervalued, with target price of 87.65, which represents a 36.1% upside potential. The higher pricing may be explained bythe company's capacity to enhance its market share in various geographical areas while keeping a leading position in the industry in the next years. As a result, the Moncler Equity Approval Recommendation is a BUY recommendation.WewilldiscoverthesecretsofMonclerandtheluxuryfashionindustrytogether

Elettrodi modificati con nanomateriali di carbonio: ottimizzazione della sintesi di idrossidi doppi a strati

In this thesis work, it has been studied the effect of carbonaceous nanomaterials like graphene and nanotubes on GC electrodes, in various configurations, to perform the synthesis of the layered double hydroxide of nickel and aluminium. The potentiodynamic electrodeposition was found more efficient as to Ni centres electroactivity and more reproducible than potentiostatic or galvanostatic electrodeposition. It has been performed a structural characterization by means of XRD analysis (which confirmed the typical hydrotalcitical pattern) and a morphological characterization by means of SEM analysis, from which it was observed a homogeneous and well adherent coating, except for the bilayer configurations. It was carried out an electrochemical characterization to evaluate the electroactive surface area, that was found to be significantly increased in the presence of graphene, and the charge transfer resistance, that was lower when the nanomaterials were present. The modified electrodes were then tested in practical applications like the glucose determination and the oxygen evolution reaction

scale adaptive simulations of a swirl stabilized spray flame using flamelet generated manifold

Abstract The present work describes the main findings derived from CFD simulations of the swirl stabilized spray flame experimentally investigated by Sheen [1] . Scale Adaptive Simulations (SAS) have been performed using Flamelet Generated Manifold (FGM) for combustion modelling and a Eulerian-Lagrangian approach for liquid phase description. Results highlight the capabilities of SAS in predicting the main characteristics of the analysed turbulent spray flame, leading to appreciable enhancements with respect to RANS results in terms of both velocity and temperature distributions

SEAI: Social Emotional Artificial Intelligence Based on Damasio's Theory of Mind

A socially intelligent robot must be capable to extract meaningful information in real-time from the social environment and react accordingly with coherent human-like behaviour. Moreover, it should be able to internalise this information, to reason on it at a higher abstract level, build its own opinions independently and then automatically bias the decision-making according to its unique experience. In the last decades, neuroscience research highlighted the link between the evolution of such complex behaviour and the evolution of a certain level of consciousness, which cannot leave out of a body that feels emotions as discriminants and prompters. In order to develop cognitive systems for social robotics with greater human-likeliness, we used an "understanding by building" approach to model and implement a well-known theory of mind in the form of an artificial intelligence, and we tested it on a sophisticated robotic platform. The name of the presented system is SEAI (Social Emotional Artificial Intelligence), a cognitive system specifically conceived for social and emotional robots. It is designed as a bio-inspired, highly modular, hybrid system with emotion modelling and high-level reasoning capabilities. It follows the deliberative/reactive paradigm where a knowledge-based expert system is aimed at dealing with the high-level symbolic reasoning, while a more conventional reactive paradigm is deputed to the low-level processing and control. The SEAI system is also enriched by a model which simulate the Damasio's theory of consciousness and the theory of Somatic Markers. After a review of similar bio-inspired cognitive systems, we present the scientific foundations and their computational formalisation at the basis of the SEAI framework. Then, a deeper technical description of the architecture is disclosed underlining the numerous parallelisms with the human cognitive system. Finally, the influence of artificial emotions and feelings, and their link with the robot's beliefs and decisions have been tested in a physical humanoid involved in Human-Robot Interaction (HRI)

modelling soot production and thermal radiation for turbulent diffusion flames

Abstract This paper presents a systematic investigation on the strategies required for modelling soot when performing CFD simulations of turbulent flames. The first test case consists in a 3D enclosure containing a mixture of N 2 , CO 2 , H 2 O and soot (Coelho, 2003). Results obtained with the gray implementation of the Discrete Ordinate Method in ANSYS Fluent are compared against literature data, assessing different formulations for the absorption coefficient of soot. These considerations are exploited through reactive RANS simulations accounting for radiative heat transfer, with the purpose to test different models for soot formation process on a turbulent non-premixed kerosene-air flame (Young et al., 1994)

methane swirl stabilized lean burn flames assessment of scale resolving simulations

Abstract The reliable prediction of the turbulent combustion process in lean flames is of paramount importance in the design of gas turbine combustors. The present work presents an assessment of the capabilities of Flamelet Generated Manifold (FGM) in the framework of Reynolds-Averaged Navier-Stokes (RANS) and Large-Eddy Simulation (LES) At this purpose the TECFLAM swirl burner consisting of a strongly swirling, unconfined natural gas flame was chosen. Results highlight that RANS-FGM succeeds in predicting the main characteristics of the reacting flow field and species concentrations. However, only LES is capable of reproducing the actual turbulent mixing between swirling flow and co-flow, thus leading to appreciable enhancements with respect to RANS results

numerical analyses of a high pressure sooting flame with multiphysics approach

Abstract The development of a new standard for soot emissions proposed by ICAO-CAEP to reduce the environmental impact of civil aviation is moving increasingly research effort on the investigation of sooting flames. Formation and oxidation of the particulate matter are strongly affected by gas temperature, requiring an accurate prediction of the flow field from a numerical point of view. On the other hand, the temperature distribution within the combustor is modified by radiation, which depends on the soot concentration, leading to a very challenging coupled problem. In this work, a series of sensitivity analyses in RANS context are performed on soot, radiation and heat transfer modelling to assess their impact on the prediction of soot emission, gas temperature as well as wall heat fluxes distribution in the context of a high pressure sooting flame which is representative of a RQL combustor. These results are employed to set up a CHT (Conjugate Heat Transfer) simulation, using the multiphysics THERM3D procedure in a loosely-coupled manner where reactive CFD, radiation and heat conduction calculations are computed sequentially with a separate solver in a dedicated framework. These sensitivities can provide useful information for the numerical setup in high-fidelity simulations, as Scale Resolving Simulations