Il deperimento dei geomateriali da costruzione: implicazioni sulla capacità sismica residua di edifici in CA e muratura ordinaria

This work is dedicated to the study of damaging phenomena involving reinforced concrete structures and masonry buildings and the consequences in terms of structural performances decay. In the Italian context there are many examples of structures that have already exceeded their service life, considering not only the ancient buildings but also infrastructures and R/C buildings that today are operating from more than 50th years. Climate change which is subject to the entire planet, with changing in seasonal weather and increasing in environmental pollution, is not excluded could have a harmful influence on the rate of building materials decay previously deemed as durables. If the aggressive input changes very fast, for example in a few decades, then it can also change the response of a construction material considered so far durable; in this way the knowledge about the art of good build, consolidated over the centuries, is thwarted. Hence this study is focused on the possibility to define the residual capacity for vertical or seismic loads for structures that are already at the limit of their service life, or for which is impossible to define a service life. The problem in an analysis of this kind, and that is what makes this research different from the main studies avaibles in the literature, is to keep in correlation – in a not so expensive computationally way – issues such as: - dangerous environmental inputs adequately simulated; - environmental conditions favorable to the spread of pollutants and development of the degradation reactions (decay’s speed); - link between environmental degradation and residual bearing capacity A more realistic assessment of materials residual performances that constitute the structure allows to leave the actual system for the residual load-bearing capacity estimation in which all factors are simply considered through the use of a safety factor on the materials properties.

Modelli semplificati per valutazione di vulnerabilità sismica di strutture in muratura

L'obiettivo della tesi è stato quello di indagare il complesso problema della vulnerabilità sismica dei ponte in muratura ad arco utilizzando modelli semplificati. Dopo una descrizione dei materiali da costruzione impiegati nella realizzazione e dei principali elementi dei un ponti in muratura, si è indirizzato lo studio di un ponte ad arco situato nel comune di San Marcello Pistoiese. Viene mostrato un modello numerico che permette di descrivere il comportamento strutturale del ponte sotto azione sismica e di valutare la capacità di carico del ponte sottoposto ad una azione trasversale. In un secondo momento viene descritta la realizzazione di un modello in scala del ponte, che è stato sottoposto a prove distruttive effettuate per valutare la capacità di carico del ponte rispetto ad un ipotetica azione orizzontale. Si è cercato poi di inquadrare il problema in un modello teorico che faccia riferimento all'analisi limite. Esso descrive un cinematismo di collasso a telaio che prende spunto dal quadro fessurativo del modello in muratura. Infine sono stati presentati modelli FEM numerici in ordine di complessità crescente, cercando di inquadrare il comportamento meccanico del prototipo del ponte. Tre tipi di modelli sono rappresentati: un telaio incernierato alle estremità costituito da elementi beam con resistenza alla flessione . Il secondo tipo è costituito da una reticolare equivalente che mima lo schema del ponte ed è formato solo da bielle. Infine, il terzo tipo cerca di descrivere l'intero modello con elementi tridimensionali.

Formalizing languages for service oriented computing

Service Oriented Computing is a new programming paradigm for addressing distributed system design issues. Services are autonomous computational entities which can be dynamically discovered and composed in order to form more complex systems able to achieve different kinds of task. E-government, e-business and e-science are some examples of the IT areas where Service Oriented Computing will be exploited in the next years. At present, the most credited Service Oriented Computing technology is that of Web Services, whose specifications are enriched day by day by industrial consortia without following a precise and rigorous approach. This PhD thesis aims, on the one hand, at modelling Service Oriented Computing in a formal way in order to precisely define the main concepts it is based upon and, on the other hand, at defining a new approach, called bipolar approach, for addressing system design issues by synergically exploiting choreography and orchestration languages related by means of a mathematical relation called conformance. Choreography allows us to describe systems of services from a global view point whereas orchestration supplies a means for addressing such an issue from a local perspective. In this work we present SOCK, a process algebra based language inspired by the Web Service orchestration language WS-BPEL which catches the essentials of Service Oriented Computing. From the definition of SOCK we will able to define a general model for dealing with Service Oriented Computing where services and systems of services are related to the design of finite state automata and process algebra concurrent systems, respectively. Furthermore, we introduce a formal language for dealing with choreography. Such a language is equipped with a formal semantics and it forms, together with a subset of the SOCK calculus, the bipolar framework. Finally, we present JOLIE which is a Java implentation of a subset of the SOCK calculus and it is part of the bipolar framework we intend to promote.

A communication infrastructure to support knowledge level agents on the web

Agent Communication Languages (ACLs) have been developed to provide a way for agents to communicate with each other supporting cooperation in Multi-Agent Systems. In the past few years many ACLs have been proposed for Multi-Agent Systems, such as KQML and FIPA-ACL. The goal of these languages is to support high-level, human like communication among agents, exploiting Knowledge Level features rather than symbol level ones. Adopting these ACLs, and mainly the FIPA-ACL specifications, many agent platforms and prototypes have been developed. Despite these efforts, an important issue in the research on ACLs is still open and concerns how these languages should deal (at the Knowledge Level) with possible failures of agents. Indeed, the notion of Knowledge Level cannot be straightforwardly extended to a distributed framework such as MASs, because problems concerning communication and concurrency may arise when several Knowledge Level agents interact (for example deadlock or starvation). The main contribution of this Thesis is the design and the implementation of NOWHERE, a platform to support Knowledge Level Agents on the Web. NOWHERE exploits an advanced Agent Communication Language, FT-ACL, which provides high-level fault-tolerant communication primitives and satisfies a set of well defined Knowledge Level programming requirements. NOWHERE is well integrated with current technologies, for example providing full integration for Web services. Supporting different middleware used to send messages, it can be adapted to various scenarios. In this Thesis we present the design and the implementation of the architecture, together with a discussion of the most interesting details and a comparison with other emerging agent platforms. We also present several case studies where we discuss the benefits of programming agents using the NOWHERE architecture, comparing the results with other solutions. Finally, the complete source code of the basic examples can be found in appendix.

New approaches to open problems in gene expression microarray data

In the past decade, the advent of efficient genome sequencing tools and high-throughput experimental biotechnology has lead to enormous progress in the life science. Among the most important innovations is the microarray tecnology. It allows to quantify the expression for thousands of genes simultaneously by measurin the hybridization from a tissue of interest to probes on a small glass or plastic slide. The characteristics of these data include a fair amount of random noise, a predictor dimension in the thousand, and a sample noise in the dozens. One of the most exciting areas to which microarray technology has been applied is the challenge of deciphering complex disease such as cancer. In these studies, samples are taken from two or more groups of individuals with heterogeneous phenotypes, pathologies, or clinical outcomes. these samples are hybridized to microarrays in an effort to find a small number of genes which are strongly correlated with the group of individuals. Eventhough today methods to analyse the data are welle developed and close to reach a standard organization (through the effort of preposed International project like Microarray Gene Expression Data -MGED- Society [1]) it is not unfrequant to stumble in a clinician's question that do not have a compelling statistical method that could permit to answer it.The contribution of this dissertation in deciphering disease regards the development of new approaches aiming at handle open problems posed by clinicians in handle specific experimental designs. In Chapter 1 starting from a biological necessary introduction, we revise the microarray tecnologies and all the important steps that involve an experiment from the production of the array, to the quality controls ending with preprocessing steps that will be used into the data analysis in the rest of the dissertation. While in Chapter 2 a critical review of standard analysis methods are provided stressing most of problems that In Chapter 3 is introduced a method to adress the issue of unbalanced design of miacroarray experiments. In microarray experiments, experimental design is a crucial starting-point for obtaining reasonable results. In a two-class problem, an equal or similar number of samples it should be collected between the two classes. However in some cases, e.g. rare pathologies, the approach to be taken is less evident. We propose to address this issue by applying a modified version of SAM [2]. MultiSAM consists in a reiterated application of a SAM analysis, comparing the less populated class (LPC) with 1,000 random samplings of the same size from the more populated class (MPC) A list of the differentially expressed genes is generated for each SAM application. After 1,000 reiterations, each single probe given a "score" ranging from 0 to 1,000 based on its recurrence in the 1,000 lists as differentially expressed. The performance of MultiSAM was compared to the performance of SAM and LIMMA [3] over two simulated data sets via beta and exponential distribution. The results of all three algorithms over low- noise data sets seems acceptable However, on a real unbalanced two-channel data set reagardin Chronic Lymphocitic Leukemia, LIMMA finds no significant probe, SAM finds 23 significantly changed probes but cannot separate the two classes, while MultiSAM finds 122 probes with score >300 and separates the data into two clusters by hierarchical clustering. We also report extra-assay validation in terms of differentially expressed genes Although standard algorithms perform well over low-noise simulated data sets, multi-SAM seems to be the only one able to reveal subtle differences in gene expression profiles on real unbalanced data. In Chapter 4 a method to adress similarities evaluation in a three-class prblem by means of Relevance Vector Machine [4] is described. In fact, looking at microarray data in a prognostic and diagnostic clinical framework, not only differences could have a crucial role. In some cases similarities can give useful and, sometimes even more, important information. The goal, given three classes, could be to establish, with a certain level of confidence, if the third one is similar to the first or the second one. In this work we show that Relevance Vector Machine (RVM) [2] could be a possible solutions to the limitation of standard supervised classification. In fact, RVM offers many advantages compared, for example, with his well-known precursor (Support Vector Machine - SVM [3]). Among these advantages, the estimate of posterior probability of class membership represents a key feature to address the similarity issue. This is a highly important, but often overlooked, option of any practical pattern recognition system. We focused on Tumor-Grade-three-class problem, so we have 67 samples of grade I (G1), 54 samples of grade 3 (G3) and 100 samples of grade 2 (G2). The goal is to find a model able to separate G1 from G3, then evaluate the third class G2 as test-set to obtain the probability for samples of G2 to be member of class G1 or class G3. The analysis showed that breast cancer samples of grade II have a molecular profile more similar to breast cancer samples of grade I. Looking at the literature this result have been guessed, but no measure of significance was gived before.

Filiera corta: percorsi di innovazione tecnici, organizzativi e sociali nella gestione strategica delle nicchie. Esperienze in Toscana e in Provenza

There is a widening consensus around the fact that, in many developed countries, food production-consumption patterns are in recent years interested by a process of deep change towards diversification and re-localisation practices, as a counter-tendency to the trend to the increasing disconnection between farming and food, producers and consumers. The relevance of these initiatives doesn't certainly lie on their economic dimension, but rather in their intense diffusion and growth rate, their spontaneous and autonomous nature and, especially, their intrinsic innovative potential. These dynamics involve a wide range of actors around local food patterns, embedding short food supply chains initiatives within a more complex and wider process of rural development, based on principles of sustainability, multifunctionality and valorisation of endogenous resources. In this work we have been analysing these features through a multi-level perspective, with reference to the dynamics between niche and regime and the inherent characteristics of the innovation paths. We apply this approach, through a qualitative methodology, to the analysis of the experience of farmers’ markets and Solidarity-Based Consumers Groups (Gruppi di Acquisto Solidale) ongoing in Tuscany, seeking to highlight the dynamics that are affecting the establishment of this alternative food production-consumption model (and its related innovative potential) from within and from without. To verify if and in which conditions they can constitute a niche, a protected space where radical innovations can develop, we make reference to the three interrelated analytic dimensions of socio-technical systems: the actors (i.e. individuals. social groups, organisations), the rules and institutions system, and the artefacts (i.e. the material and immaterial contexts in which the actors move). Through it, we analyse the innovative potential of niches and the level of their structuration and , then, the mechanisms of system transition, focusing on the new dynamics within the niche and between the niche and the policy regime emerging after the growth of interest by mass-media and public institutions and their direct involvement in the initiatives. Following the development of these significant experiences, we explore more deeply social, economic, cultural, political and organisational factors affecting innovations in face-to-face interactions, underpinning the critical aspects (sharing of alternative values, coherence at individual choices level, frictions on organisational aspects, inclusion/exclusion, attitudes towards integration at territorial level), towards uncovering until to the emergence of tensions and the risks of opportunistic behaviours that might arise from their growth. Finally, a comparison with similar experiences abroad is drawn (specifically with Provence), in order to detect food for thought, potentially useful for leading regional initiativestowards transition path.

Well-being, distress and health status in a population of adolescent students

The present work explores the psychosocial issues emerging from a large cross-sectional study aimed to assess the prevalence, clinical manifestations, and psychosocial correlates of hyperandrogenism in a population of Italian high school students. Participants were 1804 adolescents, aged between 15 and 19 years, who volunteered to fill in a package of self-report questionnaires (including the Psychosocial Index, the Symptom Questionnaire and Ryff’s Psychological Well-Being scales for the assessment of psychological aspects) and undergo a comprehensive physical examination. Significant gender differences were found with regard to psychological distress, with females reporting higher scores compared with males, but not on well-being dimensions. The relationships of well-being to distress were found to be complex. Although inversely associated, well-being and ill-being appeared to be distinct domains of mental functioning. The evaluation of the moderating effects of well-being in the association between stress and psychological distress indicated that well-being may act as a protective factor, contributing to less pronounced psychological distress as stress levels increased. Higher rates of somatic complaints were found among current smokers. However, substance use (i.e., smoking and drug use) was also found to be positively associated with some well-being dimensions. A considerable number of participants were found to present with disordered eating symptoms, particularly females, and associated higher stress levels and lower quality of life. Sport activities were found to favourably affect psychological health. As to clinical signs of hyperandrogenism, a significant impairment in psychosocial functioning was found among females, whereas no effects on psychological measures could be detected among males. Subgroups of adolescents with distinct clinical and psychological characteristics could be identified by means of cluster analysis. The present study provides new insights into better understanding of the complex relationships between well-being, distress and health status in the adolescent population, with important clinical implications.

Problematiche delle infezioni da CMV in gravidanza: ruolo dell'ecografia

Problematiche delle infezioni da Citomegalovirus in gravidanza Obiettivi: migliorare la sensibilità dell'ecografia nella diagnosi di infezione da CMV individuando un reperto ecografico cerebrale suggestivo di infezione fetale da Citomegalovirus a 20 settimane di gestazione. Metodi: tra febbraio 1989 e settembre 2009, 721 pazienti afferenti alla nostra Unità di Medicina Materno fetale per infezione primaria da CMV hanno eseguito amniocentesi e sono state sottoposte ad un esame neurosonografico transvaginale a 20-22 settimane di gestazione. Risultati: in 29 feti con infezione congenita sono state evidenziate anomalie ecografiche (17%), di cui in 22 casi a livello cerebrale. In 13 casi l'ecografia transvaginale ha permesso di identificare un alone ecogeno periventricolare a margini ben definiti ad un'epoca gestazionale media di 20.5 settimane (20-22 settimane). Di questi casi 12 pazienti hanno deciso di interrompere la gravidanza. L'unico neonato ha presentato alla nascita un'ipoacusia bilaterale. I riscontri autoptici ottenuti (7/12) hanno mostrato un'infezione citomegalica disseminata ed in 3 casi segni a livello cerebrale. Conclusioni: il limite ecografico della diagnosi di infezione fetale nei casi di infezione primaria da CMV è noto. In pazienti gravide alla 20 settimana di gestazione con infezione recente da Citomegalovirus, il riscontro di un alone ecogeno periventricolare risulta essere un precoce ed attendibile segno di infezione fetale e di possibile danno della sostanza bianca cerebrale. Occorrono però studi aggiuntivi per valutare la possibile manifestazione clinica di questa anomalia cerebrale nei neonati con infezione da CMV.

La ricerca del valore nell'impresa cooperativa di lavorazione e trasformazione: cooperative e imprese capitalistiche a confronto

La ricerca si propone un duplice obbiettivo: 1. provare, attraverso l’applicazione di un metodo teorico tradizionale di analisi economico-finanziaria, il livello ottimale di equilibrio finanziario fra accesso al credito esterno e capitale proprio; 2. mostrare l’utilità di alcuni strumenti finanziari partecipativi per la ricapitalizzazione dell’impresa cooperativa. Oggetto di studio è l’impresa cooperativa che si occupa di una o più fasi del processo di lavorazione, trasformazione e prima commercializzazione del prodotto agricolo conferito dai soci, confrontata con le imprese di capitali che svolgono la medesima attività. La società cooperativa e quella capitalistica saranno, pertanto analizzate in termini di liquidità generata, redditività prodotta e grado di indebitamento, attraverso il calcolo e l’analisi di una serie di indici, tratti dai rispettivi bilanci d’esercizio. È opportuno sottolineare che nella seguente trattazione sarà riservato uno spazio al tema della ricerca del valore nell’impresa cooperativa inteso come espressione della ricchezza creata dai processi aziendali in un determinato periodo di tempo tentando di definire, se esiste, una struttura finanziaria ottimale , ossia uno specifico rapporto tra indebitamento finanziario e mezzi propri, che massimizzi il valore dell’impresa. L’attenzione verso la struttura finanziaria, pertanto, non sarà solo rivolta al costo esplicito del debito o dell’equity, ma si estenderà anche alle implicazioni delle scelte di finanziamento sulle modalità di governo dell’impresa. Infatti molti studi di economia aziendale, e in particolar modo di gestione d’impresa e finanza aziendale, hanno trattato il tema dell’attività di governo dell’impresa, quale elemento in grado di contribuire alla creazione di valore non solo attraverso la selezione dei progetti d’investimento ma anche attraverso la composizione della struttura finanziaria.

Psychiatric comorbidity, Restless Legs Syndrome and Nocturnal Eating Disorder: a case-control study

Objective: to evaluate the psychopathological profile in primary Restless Legs Syndrome (p-RLS) patients with and without nocturnal eating disorder (NED), analysing obsessive-compulsive traits, mood and anxiety disorder, and the two domains of personality proposed by Cloninger, temperament and character. Methods: we tested ten p-RLS patients without NED, ten p-RLS patients with NED and ten healthy control subjects, age and sex-matched, using Hamilton Depression and Anxiety Rating Scales, State-Trait Anxiety Inventory, Maudsley Obsessive Compulsive Inventory (MOCI) and Temperament and Character Inventory - revised (TCI). Results: p-RLS patients, particularly those with NED, had increased anxiety factor scores. MOCI-total, doubting and checking compulsion, and TCI-harm avoidance scores were significantly higher in p-RLS patients with NED. p-RLS patients without NED had significantly higher MOCI-doubting scores and a trend toward higher checking compulsion and harm avoidance scores with an apparent grading from controls to p-RLS patients without NED to p-RLS with NED. Conclusions: higher harm avoidance might predispose to display obsessive-compulsive symptoms, RLS and then, with increasing severity, compulsive nocturnal eating. RLS and NED could represent a pathological continuum in which a dysfunction in the limbic system, possibly driven by a dopaminergic dysfunction, could be the underlying pathophysiological mechanism.

Comportamento tribologico di materiali per componenti di interesse industriale: Failure analysis e prove tribologiche in laboratorio

L’attività di ricerca della presente tesi di dottorato ha riguardato sistemi tribologici complessi di interesse industriale per i quali sono stati individuati, mediante failure analysis, i meccanismi di usura dominanti. Per ciascuno di essi sono state studiate soluzioni migliorative sulla base di prove tribologiche di laboratorio. Nella realizzazione di maglie per macchine movimentazione terra sono ampiamente utilizzati i tradizionali acciai da bonifica. La possibilità di utilizzare i nuovi microlegati a medio tenore di carbonio, consentirebbe una notevole semplificazione del ciclo produttivo e benefici in termini di costi. Una parte della tesi ha riguardato lo studio del comportamento tribologico di tali acciai. E’ stato anche affrontato lo studio tribologico di motori idraulici, con l’obiettivo di riuscire a migliorarne la resistenza ad usura e quindi la vita utile. Sono state eseguite prove a banco, per valutare i principali meccanismi di usura, e prove di laboratorio atte a riprodurre le reali condizioni di utilizzo, valutando tecniche di modificazione superficiale che fossero in grado di ridurre l’usura dei componenti. Sono state analizzate diverse tipologie di rivestimenti Thermal Spray in termini di modalità di deposizione (AFS-APS) e di leghe metalliche depositate (Ni,Mo,Cu/Al). Si sono infine caratterizzati contatti tribologici nel settore del packaging, dove l’utilizzo di acciai inox austenitici è in alcuni casi obbligatorio. L’acciaio inossidabile AISI 316L è ampiamente utilizzato in applicazioni in cui siano richieste elevate resistenze alla corrosione, tuttavia la bassa resistenza all’usura, ne limitano l’impiego in campo tribologico. In tale ambito, è stata analizzata una problematica tribologica relativa a macchine automatiche per il dosaggio di polveri farmaceutiche. Sono state studiate soluzioni alternative che hanno previsto sia la completa sostituzione dei materiali della coppia tribologica, sia l’individuazione di tecniche di modificazione superficiale innovative quali la cementazione a bassa temperatura anche seguita dalla deposizione di un rivestimento di carbonio amorfo idrogenato a-C:H