130,881 research outputs found
Evaluation of the Potential Interest of Italian Retail Distribution Chains for Kamut-Based Products
No full textKamut® is a registered trademark cereal (an organic crop) whose origins are much older; it has Egyptian origins and at the present time it is grown in different areas of the world (mainly in Montana and Canada), but considering the agronomic requirements of this crop, the tests in Thailand are the most reliable. Evaluation of the interest of retail distribution chains for Kamut-based products belongs to the researches regarding the evaluation of the
quality food products trade. In this case, countries involved are Thailand, one of the most important producers, and Italy, one of the most important market of the EU. Qualitative analysis technique was the most appropriate tool. This survey consisted of in-depth semistructured interviews directed at Italian large scale retails (purchasing and marketing managers). The final information were obtained through a subjective analysis of the content of the interviews’ summaries, a statistical analysis of the content of the interviews and the creation of conceptual positioning maps. The awareness of the product, the communicative factor, the consumers’ reactions, the specific requirements of the distribution chains and production areas are some of the most important elements that can influence the creation and the development of a international trade relationship
Evolutionary Learning of Rich Neural Networks in the Bayesian Model Selection Framework
No full textIn this paper we focus on the problem of using a genetic algorithm for model selection within a Bayesian framework. We propose to reduce the model selection problem to a search problem solved using evolutionary computation to explore a posterior distribution over the model space. As a case study, we introduce ELeaRNT (Evolutionary Learning of Rich Neural Network Topologies), a genetic algorithm which evolves a particular class of models, namely, Rich Neural Networks (RNN), in order to find an optimal domain-specific non-linear function approximator with a good generalization capability. In order to evolve this kind of neural networks, ELeaRNT uses a Bayesian fitness function. The experimental results prove that ELeaRNT using a Bayesian fitness function finds, in a completely automated way, networks well-matched to the analysed problem, with acceptable complexity
"MGBM"system: protocollo per il trattamento non estrattivo delle II classi senza collaborazione
No full textWebCD per la didattica a distanza in oncologia medica: metodologia e nuovi ruoli professionali
No full textBibliografia degli scritti di Domenico e Giovanni Spadoni, in "Domenico e Giovanni Spadoni", a cura di M. Millozzi, Giardini, Pisa, 1996, pp. 249-275
No full text
Assessment and management of major accident risks connected with industrialised areas: the case of Ravenna (Italy)
No full textLand use planning, risk control and emergency planning are matters of deep examination and strong decisions by public authorities who have to manage problems posed by the concentration of many industrial activities where dangerous substances are processed, especially if these establishments are located close to residential areas. The quantitative area risk assessment (QARA) is an indispensable knowledge tool to address right choices of prevention and protection. In the Ravenna area of Italy a large complex of chemical and petrochemical plants is located near a densely populated town and risks connected with transport, storage and processing of large amount of dangerous substances were evaluated and decisions assumed by administrations in order to guarantee a high degree of safety to citizens. That is the final aim of a pioneer Project, the ARIPAR project, whose first phase was concluded in 1992. The control of the area has continued during the years. The aim of this paper is to summarise some results of the updating of the quantitative risk analysis of the Ravenna area, to put in evidence the effects of both the industrial dynamics and of structural interventions suggested by the studies and realized by companies and authorities, through modifications of plant operations and territorial infrastructures. After a short description of the territory and of its vulnerability (meteorological data, population distribution, centres of aggregated population – hospital, schools, commercial centres,....), the attention is paid to: 1. data collection of industrial area (transportation included); 2. risk analysis of each risk source (plants and transport); 3. comparative analysis of risk measures - individual and societal risk – obtained from the large amount of calculations performed. In particular, the risk measures are discussed by putting in evidence modifications caused by new road layout, decommissioning of LPG sphere storage and building of new buried storage, the aim being to show how and in which way these technological changes can mitigate major accident risks
- …
