102,055 research outputs found
Dalle teorie ingenue all'approccio scientifico: interazione tra pari e cambiamento concettuale
No full textVISUAL IMPACT ASSESSMENT IN URBAN PLANNING
No full textThis paper focuses on using the integrated methodological, approach and analysis to study macroseismic damage effects in urban areas. A case study inherent seismic risk analysis of the old town centre of Potenza hilltop town has been discussed, with particular attention to the evaluation of possible local amplifying factors (stratigraphy and geomorphology) deduced from comparison with data studied with a geostatistical approach (kernel density, Moran Index, Getis & Ord index). Geostatistics have been applied to seismic damage scenario of 1980 Irpinian earthquake macroseismic data, offering a new point of view in seismic risk assessment
Contributing to Cultural Welfare: A Critical Review of Methods for Measuring the Impact of Culture on Sustainability and Well-being
No full textIn the context of increasing attention to cultural value and the value of culture for people and society, this paper provides a narrative critical review of methods for measuring the impact of culture on sustainability and well-being. After clarifying the interconnected and multifaceted concepts of culture, value and measurement, the research critically discusses different methods for grasping and understanding the benefits of culture. Both scientific literature and international documents are thoroughly examined to cluster current tools and models, identify gaps in the current debate on cultural welfare, contribute to theoretical development and provide recommendations for cultural management
Predictive value of allergy and pulmonary function tests for the diagnosis of asthma in elite athletes
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Energy efficiency improvements in italian historical buildings: The case study of Ascoli Piceno
No full textEvaluating the energy efficiency of historical buildings is an important theme nowadays, with European directives that fix a strong reduction in energy use and impose an increase in the amount of energy produced by renewable sources. Within restoration and other related disciplines, it is therefore necessary that a specific method of investigation for historical buildings be developed. The methodological approach of energy efficiency in historical buildings, from the building scale to the urban scale, must account for the particular characteristics of historical buildings. Each operation should be carefully examined in each case and defined within a grid of possible interventions that can combine conservation and innovation. Public administrations have also recently addressed these themes to evaluate medium and long-term strategies useful in more effectively managing the heritage. These objectives form the basis for recent research involving the city of Ascoli Piceno. The aim is to provide the entities that manage the cultural heritage with criteria and methods to completely and critically assess historical buildings while also duly considering aspects related to their energy performance
A Two-Level Decomposition Framework Exploiting First and Second Order Information for SVM Training Problems
No full textIn this work we present a novel way to solve the sub-problems that originate when using decomposition algorithms to train Support Vector Machines (SVMs). State-of-the-art Sequential Minimization Optimization (SMO) solvers reduce the original problem to a sequence of sub-problems of two variables for which the solution is analytical. Although considering more than two variables at a time usually results in a lower number of iterations needed to train an SVM model, solving the sub-problem becomes much harder and the overall computational gains are limited, if any. We propose to apply the two-variables decomposition method to solve the sub-problems themselves and experimentally show that it is a viable and efficient way to deal with sub-problems of up to 50 variables. As a second contribution we explore different ways to select the working set and its size, combining first-order and second-order working set selection rules together with a strategy for exploiting cached elements of the Hessian matrix. An extensive numerical comparison shows that the method performs considerably better than state-of-the-art software
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