7 resultados para Perception of Risk

em AMS Tesi di Dottorato - Alm@DL - Università di Bologna


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Proper hazard identification has become progressively more difficult to achieve, as witnessed by several major accidents that took place in Europe, such as the Ammonium Nitrate explosion at Toulouse (2001) and the vapour cloud explosion at Buncefield (2005), whose accident scenarios were not considered by their site safety case. Furthermore, the rapid renewal in the industrial technology has brought about the need to upgrade hazard identification methodologies. Accident scenarios of emerging technologies, which are not still properly identified, may remain unidentified until they take place for the first time. The consideration of atypical scenarios deviating from normal expectations of unwanted events or worst case reference scenarios is thus extremely challenging. A specific method named Dynamic Procedure for Atypical Scenarios Identification (DyPASI) was developed as a complementary tool to bow-tie identification techniques. The main aim of the methodology is to provide an easier but comprehensive hazard identification of the industrial process analysed, by systematizing information from early signals of risk related to past events, near misses and inherent studies. DyPASI was validated on the two examples of new and emerging technologies: Liquefied Natural Gas regasification and Carbon Capture and Storage. The study broadened the knowledge on the related emerging risks and, at the same time, demonstrated that DyPASI is a valuable tool to obtain a complete and updated overview of potential hazards. Moreover, in order to tackle underlying accident causes of atypical events, three methods for the development of early warning indicators were assessed: the Resilience-based Early Warning Indicator (REWI) method, the Dual Assurance method and the Emerging Risk Key Performance Indicator method. REWI was found to be the most complementary and effective of the three, demonstrating that its synergy with DyPASI would be an adequate strategy to improve hazard identification methodologies towards the capture of atypical accident scenarios.

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The present dissertation aims at analyzing the construction of American adolescent culture through teen-targeted television series and the shift in perception that occurs as a consequence of the translation process. In light of the recent changes in television production and consumption modes, largely caused by new technologies, this project explores the evolution of Italian audiences, focusing on fansubbing (freely distributed amateur subtitles made by fans for fan consumption) and social viewing (the re-aggregation of television consumption based on social networks and dedicated platforms, rather than on physical presence). These phenomena are symptoms of a sort of ‘viewership 2.0’ and of a new type of active viewing, which calls for a revision of traditional AVT strategies. Using a framework that combines television studies, new media studies, and fandom studies with an approach to AVT based on Descriptive Translation Studies (Toury 1995), this dissertation analyzes the non-Anglophone audience’s growing need to participation in the global dialogue and appropriation process based on US scheduling and informed by the new paradigm of convergence culture, transmedia storytelling, and affective economics (Jenkins 2006 and 2007), as well as the constraints intrinsic to multimodal translation and the different types of linguistic and cultural adaptation performed through dubbing (which tends to be more domesticating; Venuti 1995) and fansubbing (typically more foreignizing). The study analyzes a selection of episodes from six of the most popular teen television series between 1990 and 2013, which has been divided into three ages based on the different modes of television consumption: top-down, pre-Internet consumption (Beverly Hills, 90210, 1990 – 2000), emergence of audience participation (Buffy the Vampire Slayer, 1997 – 2003; Dawson’s Creek, 1998 – 2003), age of convergence and Viewership 2.0 (Gossip Girl, 2007 – 2012; Glee, 2009 – present; The Big Bang Theory, 2007 - present).

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Alzheimer's disease (AD) is the most common neurodegenerative disease in elderly. Donepezil is the first-line drug used for AD. In section one, the experimental activity was oriented to evaluate and characterize molecular and cellular mechanisms that contribute to neurodegeneration induced by the Aβ1-42 oligomers (Aβ1-42O) and potential neuroprotective effects of the hybrids feruloyl-donepezil compound called PQM130. The effects of PQM130 were compared to donepezil in a murine AD model, obtained by intracerebroventricular (i.c.v.) injection of Aβ1-42O. The intraperitoneal administration of PQM130 (0.5-1 mg/kg) after i.c.v. Aβ1-42O injection improved learning and memory, protecting mice against spatial cognition decline. Moreover, it reduced oxidative stress, neuroinflammation and neuronal apoptosis, induced cell survival and protein synthesis in mice hippocampus. PQM130 modulated different pathways than donepezil, and it is more effective in counteracting Aβ1-42O damage. The section two of the experimental activity was focused on studying a loss of function variants of ABCA7. GWA studies identified mutations in the ABCA7 gene as a risk factor for AD. The mechanism through which ABCA7 contributes to AD is not clear. ABCA7 regulates lipid metabolism and critically controls phagocytic function. To investigate ABCA7 functions, CRISPR/Cas9 technology was used to engineer human iPSCs and to carry the genetic variant Y622*, which results in a premature stop codon, causing ABCA7 loss-of-function. From iPSCs, astrocytes were generated. This study revealed the effects of ABCA7 loss in astrocytes. ABCA7 Y622* mutation induced dysfunctional endocytic trafficking, impairing Aβ clearance, lipid dysregulation and cell homeostasis disruption, alterations that could contribute to AD. Though further studies are needed to confirm the PQM130 neuroprotective role and ABCA7 function in AD, the provided results showed a better understanding of AD pathophysiology, a new therapeutic approach to treat AD, and illustrated an innovative methodology for studying the disease.

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The western honey bee, Apis mellifera L., is currently the model specie for pesticide risk assessment on pollinators with the assumption that the worst-case scenarios for this species are sufficiently conservative to protect other insect pollinators. However, recent studies have showed that wild species may be more sensitive to plant protection products, due to differences in biology and life cycles. Therefore, there is the need to extend the risk assessment within a more ecological approach, in order to ensure that there are no irreversible effects on non-target organisms and in the environment. My dissertation aims to expand the risk assessment to other insect pollinators (including wild and managed pollinators), in order to cover some of the gaps of the current schemes. In this thesis, it is presented three experiments that cover the early stages of a solitary bee (chapter 1), the development of molecular tools for early detection of sub-lethal effects (chapter 2) and the development of protocols to access lethal and sub-lethal effects on other pollinator taxa (Diptera; chapter 3).

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The current studies assessed the role of trait anger and anger expression styles on risk decision-making in adulthood, adolescence and childhood. In the first experiment 158 adults completed the STAXI-2 and an inventory consisting of a battery of hypothetical everyday decision-making scenarios. Participants were also asked to evaluate the perception of risk for each chosen option and some contextual characteristics, that are familiarity and salience for each scenario. The study provides evidence for a relationship between individual differences in the tendency to feel and express anger and risky decisions and for mediation effects of familiarity and salience appraisals. Moreover, results indicated that trait anger was predictive of risk perception and they provide evidence for a positive relationship between risk decision-making and risk perception. In the second study, we examined the relationship between specific components of anger (i.e., cognitive, affective and behavioural) and risk decision-making in adolescents. 101 subjects completed specific tasks, measuring risk decision-making, assessed using hypothetical choice scenarios, and anger, evaluated through the STAXI-CA and the MSAI-R. Results showed that adolescents higher on hostility, anger experience and destructive expression, make more risky decisions in everyday life situations. Moreover, regression analyses indicated that destructive expression of anger and hostility were predictive of adolescents’ risky decisions. In the third experiment, 104 children completed three tasks: the STAXI-CA, the MSAI-R and a task measuring risk decision-making in everyday situations. Subjects were also asked to evaluate the degree of danger, benefit, fun and fear perceived for each risky choice. Analyses indicated that: (a) risk decision-making was predicted by both trait anger and outward expression of anger; (b) destructive expression o anger was predictive of children’s risky decisions; (c) appraisal of danger fully mediated the relation between trait anger and risk; (d) perceptions of benefit, scare and fun partially mediated the relationship between trait anger and risk; and (e) appraisal of danger partially mediated the relationship between outward expression of anger and risk decision-making. The results provide evidence for a relationship between dispositional anger and risk decision-making during childhood, suggesting a possible explanation of the mechanisms below. In particular, risk decision-making can be viewed as the output of cognitive and emotive processes, linked to dispositional anger that leads children to be amused, optimistic and fearless in potentially risky situations. These findings substantiate the importance of incorporating cognitive and emotive factors in theories that seek to explain the relationship between personality traits and risk decision making across a broad range of age.

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INTRODUZIONE: Un’inadeguata informazione in gravidanza può condurre ad una sovrastima della percezione del rischio materno-fetale da parte della paziente. OBIETTIVI: Dimostrare l’impatto di un colloquio medico con operatori esperti nel campo delle infezioni materno-fetali sull’ansia materna e sulla propensione della paziente a interrompere la gravidanza. DISEGNO DELLO STUDIO: Studio monocentrico osservazionale prospettico di coorte su una serie consecutiva di 185 pazienti con diagnosi confermata di malattia infettiva in gravidanza. Il livello di preoccupazione materna è stato investigato tramite tre questionari sottoposti alla paziente prima e dopo il colloquio medico con operatori esperti e in seguito alla diagnostica ecografica di approfondimento. RISULTATI: 171 pazienti (92.4%) hanno compilato la Scala Visuo-Analogica (VAS) sulla preoccupazione materna prima e in seguito al colloquio medico, e ciò ha mostrato decremento significativo nel livello di ansia (VAS, −25,8; CI 95%, da−29,9 a −21,7). Livelli più alti di preoccupazione hanno presentato meno margine di riduzione, e le infezioni ad alto rischio di danno fetale si sono mostrate correlate ad un minore decremento nello stato di ansia materna. Nel gruppo delle 82 pazienti (53,2%) che hanno eseguito una diagnostica ecografica di secondo livello, la preoccupazione materna è risultata significativamente minore rispetto a quella registrata dopo il consulto medico (VAS, −16,6; CI del 95%, da−22,9 a −10,3). Si è inoltre mostrata una diminuzione della propensione all’interruzione di gravidanza prima e dopo il colloquio medico (VAS, −19,4; intervallo di confidenza del 95%, da−23,6 a −15,2). Nelle 73 pazienti (45,1%) che hanno eseguito una ecografia morfologica di secondo livello, si è mostrata una riduzione nella tendenza all’interruzione di gravidanza (VAS, −13.4; CI 95%, da−19,1 a −7.7). CONCLUSIONI: Un colloquio medico esperto nel campo delle infezioni materno-fetali può diminuire l’ansia materna migliorando la qualità della vita durante la gestazione, e ridurre la propensione della paziente all’interruzione volontaria di gravidanza.

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This Doctoral Thesis focuses on the study of individual behaviours as a result of organizational affiliation. The objective is to assess the Entrepreneurial Orientation of individuals proving the existence of a set of antecedents to that measure returning a structural model of its micro-foundation. Relying on the developed measurement model, I address the issue whether some Entrepreneurs experience different behaviours as a result of their academic affiliation, comparing a sample of ‘Academic Entrepreneurs’ to a control sample of ‘Private Entrepreneurs’ affiliated to a matched sample of Academic Spin-offs and Private Start-ups. Building on the Theory of the Planned Behaviour, proposed by Ajzen (1991), I present a model of causal antecedents of Entrepreneurial Orientation on constructs extensively used and validated, both from a theoretical and empirical perspective, in sociological and psychological studies. I focus my investigation on five major domains: (a) Situationally Specific Motivation, (b) Personal Traits and Characteristics, (c) Individual Skills, (d) Perception of the Business Environment and (e) Entrepreneurial Orientation Related Dimensions. I rely on a sample of 200 Entrepreneurs, affiliated to a matched sample of 72 Academic Spin-offs and Private Start-ups. Firms are matched by Industry, Year of Establishment and Localization and they are all located in the Emilia Romagna region, in northern Italy. I’ve gathered data by face to face interviews and used a Structural Equation Modeling technique (Lisrel 8.80, Joreskog, K., & Sorbom, D. 2006) to perform the empirical analysis. The results show that Entrepreneurial Orientation is a multi-dimensional micro-founded construct which can be better represented by a Second-Order Model. The t-tests on the latent means reveal that the Academic Entrepreneurs differ in terms of: Risk taking, Passion, Procedural and Organizational Skills, Perception of the Government, Context and University Supports. The Structural models also reveal that the main differences between the two groups lay in the predicting power of Technical Skills, Perceived Context Support and Perceived University Support in explaining the Entrepreneurial Orientation Related Dimensions.