I contributi alle imprese colpite dal sisma del 2012 in Emilia-Romagna: una base informativa per l'analisi e il monitoraggio della ricostruzione

In the project Energie Sisma Emilia (www.energie.unimore.it), the data on contributions paid for the reconstruction of economic activities damaged by the earthquake that hit Emilia in 2012 are an essential information for monitoring the reconstruction. This paper aims to describe the criteria to assign contributions for the restoration and reconstruction of the buildings (for industrial, agricultural and commercial) damaged by an earthquake. The data collected during the submission of applications for assistance, then processed by the head of the procedure for its payment, may allow to draw a clear picture of the reconstruction process by highlighting the specific sector and size of businesses affected, in the municipalities of the crater of the earthquake as well as of construction companies and professionals involved in the process of submitting applications for assistance and the implementation of the intervention. In the Emilia Romagna region, businesses companies affected by the earthquake were given access to four sources of contributions: (a) for the reconstruction of buildings, temporary relocation, restoration of machinery and equipment and compensation for damage to the inventory of raw materials, semi-finished and finished products; (b) funds made available by Inail (National Institute for insurance against accidents at work) for seismic retrofitting; (c) funds intended for productive investment for innovation and (d) to support the location in case of unavailability of local unit in which it was performed, the activity before the earthquake, (ERDF - POR Regione-Emilia Romagna). By systematizing data and information available to date, we share some preliminary information gathered by the research group Energy Sisma Emilia for the analysis of data on the reconstruction of business companies, which will start once the data will be made available in an appropriate manner by the Emilia-Romagna

Social transfers and poverty in Europe: comparing social exclusion and targeting across welfare regimes

This paper studies whether there are systematic differences in the ability of cash transfers, belonging to different welfare systems, to reach the poor and to lift them out of poverty. We structure the analysis following the classic breakdown of the various European welfare states into welfare regimes, in search of specific features of them that can explain the variable results shown in the ability to effectively tackle economic poverty. The analysis is carried out both with a cross-sectional approach as well as using a more long-run definition of persistent poverty

Nanoparticles synthesis in wet-operating stirred media: Preliminary investigation with DEM simulations

The growing demand of nanomaterials is pushing towards the development of alternative strategies for the safe and sustainable production of nanoparticles. At the same time, to ensure high performances, a fine control over the product specifications is required. We focused on a bottom-up method combined with a mechanical disaggregation technique using a wet bead-stirring process, since it provides numerous advantages over other approaches, including the minimization of the nanoparticles air dispersion and a greater control over the final product. However, given the broad variability of the parameters involved in both the setup and operation of the process, it is essential to combine the experiments with a theoretical-simulative study to optimize the design. The present activity consists in the preliminary simulation of the interactions among the grinding beads, modelled through the discrete element method (DEM), and the magnetic stirrer. This approach, providing information regarding the frequency and energy of collisions, which can be related to the properties of the produced nanoparticles, allows a fine tuning of the process parameters

A Cooperative and Competitive Serious Game for Operations and Supply Chain Management – Didactical Concept and Final Evaluation

Abstract—In the last decades, Serious Games (SGs) have been implemented more and more in the engineering field, for both educational and professional purposes. The interest in digital SGs has increased even more in the last years of covid-19 pandemic, due to their location-independent availability and to the possibility to use SGs to apply theoretical knowledge and involve the users in a challenging way. Since the beginning of project Open Digital Laboratory For You (DigiLab4U) in October 2018, the University of Parma started to develop a brand-new SG with a strong focus on Operation and Supply Chain Management. The game has been studied as a multiplayer cooperative and competitive game which projects learners in a fictitious universe where multiple companies compete against each other in the same market. The realization of the game started from the definition of the didactical concept, underwent the user acceptance testing phases (alpha and beta tests) up until reach the release and the corresponding final evaluation feedback

Safety Concerns and Chemical Aspects of Improvised Explosive Devices and Homemade Explosives

The continuous changes in socio-political scenarios of the last decades led to an impressive increase in terrorist events related to the use of improvised explosive devices (IEDs). The energetic material contained in them, representing the essential part of the apparatus, is object of intense investigation owing to the need of optimizing many variables, namely the chemical energy storage of the detonating compound, the availability of raw materials required for its synthesis, the ease of process synthesis by commonly used tools and the stability of the chemical energy carrier towards transport and handling. This critical analysis proposes a classification of the detonating compounds or mixtures according to their chemical, thermodynamic and ballistic properties that make them basic ingredients in IEDs and homemade explosives. The wide and always growing variety of ingredient combination poses a challenging problem of chemical identification, owing to an interference of signals in analytical data regression. Finally, a discussion on technical realizations of such improvised weapons is outlined in light of the recent protocols of process safety and disaster control

A field study on human factor and safety performances in a downstream oil industry

afety culture and awareness by workers are pivotal tools for the implementation of systematic procedures aiming to risk mitigation in the process industry. The evaluation of human factors on safety performance can reveal unsafe attitudes and failures in training, supervision and management, whose correction greatly contribute to the enhancement of safety program. In this work, the role of human factors in an oil industry was studied by the collection of field data through a structured questionnaire filled by shift, daily and outsourced workers. A deep investigation on the variables involved in the process was carried out, firstly quantifying three conceptual key dimensions (individual, human resource management, equipment and technology) and then analyzing data by means of Response Surface Methodology (RSM), to identify the statistical significant factors and the overall level of safety awareness, behaviour and risk perception of the respondents

Condizione abitativa, fabbisogno di housing sociale e indicazioni di policy. Analisi e proposte per il territorio modenese

Il paper, utilizzando la banca dati IcesMo, fornisce un quadro aggiornato e approfondito della condizione abitativa delle famiglie modenesi, con particolare attenzione a quelle in locazione e una stima del fabbisogno di housing sociale del territorio. Il lavoro si conclude con la presentazione di alcuni possibili politiche che si potrebbero attuare per intervenire sul disagio abitativo

Integration of New Technologies and Alternative Methods in Laboratory-Based Scenarios

In this study, we report a preliminary requirements analysis to recognize needs and possibilities for integrating new technologies and methods for lab-based learning in the field of Industry 4.0 and Internet of Things. To this aim, different scenarios, such as real, remote and virtual labs, are considered to be addressable within an integrated learning environment that focuses on alternative methods (i.e. Serious Games, Self-Regulated and Collaborative Learning) and new technologies (i.e. Open Badges, Mixed Reality and Learning Analytics). To support the design of the laboratory-based learning environment, qualitative interviews were conducted with both expert lecturers and relevant students in the field of engineering, to provide complementary perspectives. These interviews were carried out to analyze the requirements, and to identify possible benefits that relevant stakeholders expect by using these teaching and learning methods and technologies. A qualitative content analysis has been started on the interviews to define which is the perception of the new technologies and teaching methods. The different points of view about technologies and methods coming from expert lecturers’ and relevant students’ interviews are provided

A Bayesian belief network for local air quality forecasting

This study is focused on the development of a Bayesian network for air quality assessment and aims at offering a pragmatic and scientifically credible approach to modelling complex systems where substantial uncertainties exist. In particular, the main object is the prediction of the occurrence of suitable conditions for the stagnation of pollutants in a given area. The analytical modeling of the network provides a set of independent nodes, represented by the outputs of a forecasting meteorological Limited Area Model, from which descend the conditions for the stagnation of pollutants in different areas of the city (through measurements of the heuristic pollutant from monitoring stations) and finally the global conditions. The urban area of Genoa (Italy) was selected in order to test the actual capability of the model prototype. Network training was performed by means of historical data resulting from significant statistical series of the past years by the air quality-monitoring network. The system used for data assimilation, construction and network learning is completely based on an open source statistical processing software