Characteristics of the Millennials, creating best practices

Concurrent Session

Topographic Site Effects Evaluation for the Monte Po Hill in the City of Catania (Italy)

The Monte Po Hill is located in the North-eastern part of the city of Catania; this area is prone to high seismic risk due to the presence of several constructions, including a school, in the vicinity of a toe of a slope, characterized by precarious stability conditions. The study has regarded the evaluation of site effects in correspondence of the site, to which corresponds a different value of the Seismic Geotechnical Hazard. In the beginning of 2007 a seismic station has been also located into the school building, with the aim of recording seismic events. Seismograms obtained by the seismic station have been also used to evaluate the ground response analysis at the surface. Finally the 1-D computer code EERA was also used to model the equivalent-linear earthquake site response analyses of layered soil deposits of the hill. The detail with which the hill has been studied has allowed the construction of a detailed 2-D model of its structure. It has been explored the differences between the computed ground motion for different Vs profiles using QUAD4M and QUAKE/W 2-D codes. It has been also possible to compare the results from different 1-D models reflecting current approaches to the determination of site response

Site Response Analysis in the STM-M6 Industrial Area of the City of Catania (Italy)

The paper presents the case history of the geotechnical characterization of a seismic site for the re-use of an industrial building for producing solar panels in the industrial area of Catania (Sicily, Italy). To determine the geological profile and the geotechnical characteristics of the soil, the site was well investigated by means of in situ and laboratory tests. The following in situ geotechnical tests were carried out: Borings, SPT, CPT, PLT and dynamic in situ tests. Among them Down-Hole (D-H), Cross-Hole (C-H), SASW and recently Seismic Dilatometer Marchetti Tests (SDMT) have been carried out, with the aim to evaluate the soil profile of shear waves velocity (Vs). Moreover the following laboratory tests were carried out on undisturbed samples retrieved with a 86 mm diameter Shelby sampler: Oedometer tests, Direct shear tests, Resonant Column and Torsional shear tests. Static and dynamic parameters obtained by in situ and laboratory tests were reported and analyzed. Moreover the Sicilian earthquake of December 13, 1990 (ML= 5.4) heavy damaged the site, also due to soil amplification. Using the recordings of this earthquake, to evaluate the input motion at the conventional bedrock, the ground response analysis has been obtained by the 1-D non-linear code EERA at the industrial building site. In particular the study has regarded the evaluation of site effects in terms of acceleration time history at the surface, soil amplification factors, as well as in terms of time history and response spectra

A Seismic Geotechnical Hazard Study in the Ancient City of Noto (Italy)

Abstract South-Eastern Sicily has been affected in past times by several destroying earthquakes with high values of estimated magnitude. The aim of the seismic hazard microzonation studies performed at the City of Noto is to quantify the spatial variability of the site response on some typical historical scenario earthquakes that would be expected in the area. In order to quantify the expected ground motion, the manner in which the seismic signal is propagating through the subsurface has been defined. Propagation is particularly affected by the local geology and by the geotechnical dynamic ground conditions of the studied area. The data largely consist of the stratigraphic profiles obtained by in situ tests i.e. borings, MASW tests, Down-Hole tests, SDMT tests; some are accompanied by static and dynamic laboratory tests, such as Resonant Column, monotonic compression loading Triaxial tests and Direct shear tests. Processing of all these data allowed the ground response analysis at the surface, in terms of time history and response spectra, of some areas of the city using the linear-equivalent codes EERA, STRATA and DEEPSOIL, useful for microzonation of seismic geotechnical hazards

Techno-Economic Analysis of Clean Hydrogen Production Plants in Sicily: Comparison of Distributed and Centralized Production

This paper presents an assessment of the levelized cost of clean hydrogen produced in Sicily, a region in Southern Italy particularly rich in renewable energy and where nearly 50% of Italy’s refineries are located, making a comparison between on-site production, that is, near the end users who will use the hydrogen, and centralized production, comparing the costs obtained by employing the two types of electrolyzers already commercially available. In the study for centralized production, the scale factor method was applied on the costs of electrolyzers, and the optimal transport modes were considered based on the distance and amount of hydrogen to be transported. The results obtained indicate higher prices for hydrogen produced locally (from about 7 €/kg to 10 €/kg) and lower prices (from 2.66 €/kg to 5.80 €/kg) for hydrogen produced in centralized plants due to economies of scale and higher conversion efficiencies. How-ever, meeting the demand for clean hydrogen at minimal cost requires hydrogen distribution pipelines to transport it from centralized production sites to users, which currently do not exist in Sicily, as well as a significant amount of renewable energy ranging from 1.4 to 1.7 TWh per year to cover only 16% of refineries’ hydrogen needs

Influenze tra processo ed esiti: alleanza, coesione e cambiamento in un gruppo terapeutico a lungo termine

Research is currently moving in the direction of an integration between the outcome measures of the patients and the relational and/or structural factors that can facilitate their change. It is increasingly important to focus studies on the relationship between process and outcome, especially with regard to psychodynamic group therapy. These treatments, very complex and difficult to operationalize, still pose critical questions for research such as what are the main elements of the therapeutic process that are activated in these therapies?Many efforts are to be made in understanding which factors develop in groups and the conditions that positively influence the success of therapy. Important is, moreover, the work of conceptual and "operational" depth on the different constructs, to better understand their nature and differences and build tools to more easily detect their features. Therapeutic alliance and cohesion are among the most investigated process variables, because of their role on the results of therapy.This study investigates these two variables in a therapeutic group with severe patients and analyzes their associations with treatment outcomes in term of symptoms and defenses. A long-term, semi-open group meeting on a weekly basis was examined. The observation was carried out for a period of 18 months, for a total amount of 50 sessions; 11 patients with different diagnoses in Axis I and II DSM IV were examined. Outcome measures: SCL-90 - Symptom Check List; OQ-45 - Outcome Questionnaire 45.2; DSQ - Defense Style Questionnaire.Process measures: CALPAS-G: California Psychotherapy Alliance Scale-Group; GMLCS: Group/Member/Leader Cohesion Scale. The observation period was divided into 3 phases according to re-modulations of the setting (new entries, overcomes, dropout). Significant correlations between alliance, cohesion and outcomes were found in the three phases. During the phase of greater instability, the predominant role of cohesion and, more generally, dimensions related to group commitment emerge. Results offer interesting suggestions about the differentiation between Alliance and Cohesion and their different relationship with outcomes and process evolution

dynamic simulation of a multi generation system for electric and cooling energy provision employing a sofc cogenerator and an adsorption chiller

Abstract Aim of this work is the dynamic simulation of the operation of a small-scale multi-generation system, based on a Solid Oxide Fuel Cell (SOFC) micro-cogenerator (μCHP) coupled to an adsorption chiller, to provide electric and cooling energy to a telecommunication shelter. The dynamic simulation model has been implemented in TRNSYS environment. The μCHP has nominal electric power of 2.5 kW and its thermal output is used to drive a thermally driven adsorption chiller, with nominal cooling power of 10 kW. The performance of both components were experimentally validated under controlled lab conditions. The developed model allowed to optimize the system configuration and to perform an energy and environmental analysis. This analysis demonstrated the possibility of achieving global energy efficiency up to 63% with a CO2 reduction proportional to the electric and cooling load of the telecommunication shelter

Bayesian evaluation of the accuracy of a thoracic auscultation scoring system in dairy calves with bronchopneumonia using a standard lung sound nomenclature

BackgroundAlthough thoracic auscultation (AUSC) in calves is quick and easy to perform, the definition of lung sounds is highly variable and leads to poor to moderate accuracy in diagnosing bronchopneumonia (BP). Hypothesis/ObjectivesEvaluate the diagnostic accuracy of an AUSC scoring system based on a standard lung sound nomenclature at different cut-off values, accounting for the absence of a gold standard test for BP diagnosis. AnimalsThree hundred thirty-one calves. MethodsWe considered the following pathological lung sounds: increased breath sounds (score 1), wheezes and crackles (score 2), increased bronchial sounds (score 3), and pleural friction rubs (score 4). Thoracic auscultation was categorized as AUSC1 (positive calves for scores & GE;1), AUSC2 (positive calves for scores & GE;2), and AUSC3 (positive calves for scores & GE;3). The accuracy of AUSC categorizations was determined using 3 imperfect diagnostic tests with a Bayesian latent class model and sensitivity analysis (informative vs weakly informative vs noninformative priors and with vs without covariance between ultrasound and clinical scoring). ResultsBased on the priors used, the sensitivity (95% Bayesian confidence interval [BCI]) of AUSC1 ranged from 0.89 (0.80-0.97) to 0.95 (0.86-0.99), with a specificity (95% BCI) of 0.54 (0.45-0.71) to 0.60 (0.47-0.94). Removing increased breath sounds from the categorizations resulted in increased specificity (ranging between 0.97 [0.93-0.99] and 0.98 [0.94-0.99] for AUSC3) at the cost of decreased sensitivity (0.66 [0.54-0.78] to 0.81 [0.65-0.97]). Conclusions and Clinical ImportanceA standardized definition of lung sounds improved AUSC accuracy for BP diagnosis in calves

On the potential and limitations of quantum extreme learning machines

Quantum reservoir computers (QRC) and quantum extreme learning machines (QELM) aim to efficiently post-process the outcome of fixed -- generally uncalibrated -- quantum devices to solve tasks such as the estimation of the properties of quantum states. The characterisation of their potential and limitations, which is currently lacking, will enable the full deployment of such approaches to problems of system identification, device performance optimization, and state or process reconstruction. We present a framework to model QRCs and QELMs, showing that they can be concisely described via single effective measurements, and provide an explicit characterisation of the information exactly retrievable with such protocols. We furthermore find a close analogy between the training process of QELMs and that of reconstructing the effective measurement characterising the given device. Our analysis paves the way to a more thorough understanding of the capabilities and limitations of both QELMs and QRCs, and has the potential to become a powerful measurement paradigm for quantum state estimation that is more resilient to noise and imperfections.Comment: 12 pages, 7 figures, comments welcom