10081 research outputs found
Sort by
Silence and writing: the voices that inhabit us (Woolf, Duras, Perec, Celati)
Get PDFMy thesis investigates the forms, modalities and issues related to the notion of 'silence' in the texts and poetics of Virginia Woolf, Marguerite Duras, Georges Perec and Gianni Celati. This study relates to the 20th century European context and is set within the framework of music-literary studies, since silence is an acoustic phenomenon that concerns the whole word, thus also the written word. The material is structured according to a distribution that firstly involves the construction of a methodological framework that employs music-literary studies, the philosophy of language, the aesthetics of reception and psychoanalytic trauma studies; secondly, an analysis of some of the autobiographical works of the mentioned writers was undertaken, with a particular focus on the notion of trauma associated with silence; thirdly, the focus was placed on the theme of silence in the novelistic and fictional writings of the same authors; finally, a reflection on the poetics and aesthetics of silence was proposed. This study, which brings together several perspectives on silence, aims to shed light, through a comparative and transmedial approach, on the necessity of silence that is inherent in the word, and not a phenomenon opposed to it
SPHERA, a new Italian convection-permitting regional reanalysis: improving heavy-rainfall representation and describing hail-prone environments
Get PDFExtreme weather events related to deep convection are high-impact critical phenomena whose reliable numerical simulation is still challenging. High-resolution (convection-permitting) modeling setups allow to switch off physical parameterizations accountable for substantial errors in convection representation. A new convection-permitting reanalysis over Italy (SPHERA) has been produced at ARPAE to enhance the representation and understanding of extreme weather situations. SPHERA is obtained through a dynamical downscaling of the global reanalysis ERA5 using the non-hydrostatic model COSMO at 2.2 km grid spacing over 1995-2020. This thesis aims to verify the expectations placed on SPHERA by analyzing two weather phenomena that are particularly challenging to simulate: heavy rainfall and hail.
A quantitative statistical analysis over Italy during 2003-2017 for daily and hourly precipitation is presented to compare the performance of SPHERA with its driver ERA5 considering the national network of rain gauges as reference. Furthermore, two extreme precipitation events are deeply investigated. SPHERA shows a quantitative added skill over ERA5 for moderate to severe and rapid accumulations in terms of adherence to the observations, higher detailing of the spatial fields, and more precise temporal matching.
These results prompted the use of SPHERA for the investigation of hailstorms, for which the combination of multiple information is crucial to reduce the substantial uncertainties permeating their understanding. A proxy for hail is developed by combining hail-favoring environmental numerical predictors with observations of ESWD hail reports and satellite overshooting top detections. The procedure is applied to the extended summer season (April-October) of 2016-2018 over the whole SPHERA spatial domain. The results indicate maximum hail likelihood over pre-Alpine regions and the northern Adriatic sea around 15 UTC in June-July, in agreement with recent European hail climatologies. The method demonstrates enhanced performance in case of severe hail occurrences and the ability to separate between ambient signatures depending on hail severity
Radical chemistry of the catechol/quinone system and its role in the control of lipid peroxidation and melanin biosynthesis
Get PDFThe catechol (1,2-dihydroxybenzene) is a privileged structural motif among natural antioxidants like flavonoids, owing to its reactivity with alkylperoxyl radicals due to the stability of the semiquinone radical. The exploration of the relevance and mechanism of this non-conventional antioxidant chemistry in heterogenous biomimetic systems (aqueous micelles and unilamellar liposomes) is explored for the first time in Chapter 1. Results show antioxidant behaviour that surpasses that of nature’s premiere antioxidant α-tocopherol and relies on the cross-dismutation of alkylperoxyl and hydroperoxyl radicals at the water-lipid interface with regeneration of the catechol function from the oxidized quinone. The design and synthesis of new biomimetic catechol-type antioxidants by conjugation of thiols (e.g. cysteine) with quinones highlighted an unusual 1,6-type regioselectivity, which had been previously reported but never fully rationalized. Owing to its importance both in nature and in the development of new antioxidants, we investigated it in detail in Chapter 2. We could prove the onsetting of a radical-chain mechanism intermediated by thiyl and thiosemiquinone radicals at the basis of the “anomalous nucleophilic addition” of thiols to ortho-quinones, which paves the way to better understanding of the chemistry of such systems. The oxidation of catechols to the corresponding quinones is also a key reaction in the biosynthesis of melanins, mediated by enzyme Tyrosinase
Cross-population radio galaxies as a test of the jet-accretion relationship
Get PDFRadio galaxies (RGs) are extremely relevant in addressing important unknowns concerning the interaction among black hole accretion, radio jets, and the environment. In the classical scheme, their accretion rate and ejection of relativistic jets are directly linked: efficient accretion (HERG) is associated with powerful edge-brightened jets (FRIIs); inefficient accretion (LERG) is associated with weak edge-darkened jets (FRIs). The observation of RGs with an inefficient engine associated with edge-brightened radio emission (FRII-LERGs) broke this scheme. FRII-LERGs constitute a suitable population to explore how accretion and ejection are linked and evaluate the environment's role in shaping jets. To this aim, we performed a multiwavelength study of different RGs catalogs spanning from Jy to mJy flux densities. At first, we investigated the X-ray properties of a sample of 51 FRIIs belonging to the 3CR catalog at z<0.3. Two hypotheses were invoked to explain FRII-LERGs behavior: evolution from classical FRIIs; the role of the environment. Next, we explored the mJy sky by studying the optical-radio properties of hundreds of RGs at z<0.15 (Best & Heckman 2012 sample). FRII-LERGs appear more similar to the old FRI-LERGs than to the young FRII-HERGs. These results point towards an evolutive scenario, however, nuclear time scale changes, star population aging, and kpc-Mpc radio structure modification do not agree. The role of the Mpc environment was then investigated. The Wen et al. 2015 galaxy clusters sample, built exploiting the SDSS survey, allowed us to explore the habitat of 7219 RGs at z<0.3. Most RGs are found to live in outside clusters. For these sources, differences among RG classes are still present. Thus, the environment is not the key parameter, and the possibility of intrinsic differences was reconsidered: we speculated that different black hole properties (spin and magnetic field at its horizon) could determine the observed spread in jet luminosity
Sensor networks optimization and software development for Structural Health Monitoring based on ultrasonic guided waves
Get PDFThe Structural Health Monitoring (SHM) research area is increasingly investigated due to its high potential in reducing the maintenance costs and in ensuring the systems safety in several industrial application fields. A growing demand of new SHM systems, permanently embedded into the structures, for savings in weight and cabling, comes from the aeronautical and aerospace application fields. As consequence, the embedded electronic devices are to be wirelessly connected and battery powered. As result, a low power consumption is requested. At the same time, high performance in defects or impacts detection and localization are to be ensured to assess the structural integrity. To achieve these goals, the design paradigms can be changed together with the associate signal processing.
The present thesis proposes design strategies and unconventional solutions, suitable both for real-time monitoring and periodic inspections, relying on piezo-transducers and Ultrasonic Guided Waves. In the first context, arrays of closely located sensors were designed, according to appropriate optimality criteria, by exploiting sensors re-shaping and optimal positioning, to achieve improved damages/impacts localisation performance in noisy environments.
An additional sensor re-shaping procedure was developed to tackle another well-known issue which arises in realistic scenario, namely the reverberation. A novel sensor, able to filter undesired mechanical boundaries reflections, was validated via simulations based on the Green's functions formalism and FEM.
In the active SHM context, a novel design methodology was used to develop a single transducer, called Spectrum-Scanning Acoustic Transducer, to actively inspect a structure. It can estimate the number of defects and their distances with an accuracy of 2[cm]. It can also estimate the damage angular coordinate with an equivalent mainlobe aperture of 8[deg], when a 24[cm] radial gap between two defects is ensured. A suitable signal processing was developed in order to limit the computational cost, allowing its use with embedded electronic devices
Risk assessment and management for Cultural Heritage: tools and methodologies
Get PDFIl patrimonio culturale sopravvissuto fino ai giorni nostri nonostante calamità naturali ed eventi catastrofici è oggi sempre più in pericolo: gli eventi naturali, accelerati e resi ancora più distruttivi dagli effetti del cambiamento climatico, lo scoppio continuo di nuovi conflitti armati e l’inconsapevolezza con cui gli uomini sfruttano il territorio comportano un aumento dei rischi e dei possibili danni ad un patrimonio che, tuttavia, è di importanza vitale per la crescita dell’umanità. Per evitare che il patrimonio culturale venga disperso o distrutto, è necessario applicare misure di prevenzione e protezione mirate, utilizzando in maniera efficiente gli strumenti disponibili; lo scopo ultimo della prevenzione e della protezione deve essere la resilienza, che va costruita attraverso la conoscenza e l’attenta pianificazione della gestione del patrimonio.
Il presente lavoro di ricerca si propone dunque di analizzare i metodi e le strategie utilizzabili per la valutazione e la gestione del rischio applicati ai beni culturali, verificando a quale livello di consapevolezza si è giunti a livello sia nazionale che internazionale, passando in rassegna le tecnologie che permettono di proteggere il patrimonio agevolando il lavoro di mitigazione del rischio e applicando un prototipo di calcolo e analisi del rischio al caso studio del Museo di Nonantola, in provincia di Modena.Cultural Heritage that has survived to the present day despite natural disasters and catastrophic events is today increasingly in danger: natural events, accelerated and made even more destructive by the effects of climate change, the continuous outbreak of new armed conflicts and the unawareness with which men exploit the territory lead to an increase in the risks and possible damages to a heritage which, however, it is of vital importance to the growth of humanity. To prevent Cultural Heritage from being destroyed, it is necessary to apply prevention and protection measures, using the available tools efficiently; the ultimate goal of prevention and protection must be resilience, which must be built through knowledge and careful planning of Heritage management. This research aims to analyze the methods and strategies that can be used for risk assessment and management applied to Cultural Heritage, verifying what level of awareness has been reached both nationally and internationally, reviewing the technologies which allow Heritage to be protected by facilitating risk mitigation work and applying a risk calculation and analysis prototype to the case study of the Museum of Nonantola, in the province of Modena
An approach to digitalise activities of combine harvesters through CANBUS
Get PDFThe increase in the efficiency of agricultural machinery is a theme that attracted the attention and investments of the industrial and research community. In addition, in a global market, where the prices of agricultural commodities are so volatile and the prices of the inputs increase, farmers and agricultural contractors struggle to obtain at the end of the agricultural season a consolidated profit. For these reasons, it is important to carefully plan the usage of combine harvesters, to reduce the unproductive time and the input usage such as the fuel, that at the end of the harvesting season could increase costs.
This study aims to develop an algorithm able to automatically identify and evaluate the time spent by the combines in each of the identified activities, identify the field boundaries of the harvested fields and perform a performance evaluation. To be able to develop the algorithm, during the harvesting seasons of 2020 and 2022, two combine harvesters operating in real-world conditions in Bologna’s Province were monitored. The data necessary to perform the analysis were acquired as CANBUS data and processed by using the MATLAB ® suite.
The results obtained from this analysis show that the monitored combines have spent over 60% of the time performing harvesting activities, 13% of the time idling at the field, 10% performing headland turn, the 3% and 4% of the time respectively in transport on the field and road and 2% of the time in unloading. In addition, the performance of the monitored combines resulted similarly to the performance reported in other studies
On the effect of confounding in linear regression models: an approach based on the theory of quadratic forms
Get PDFThe main topic of this thesis is confounding in linear regression models. It arises when a relationship between an observed process, the covariate, and an outcome process, the response, is influenced by an unmeasured process, the confounder, associated with both. Consequently, the estimators for the regression coefficients of the measured covariates might be severely biased, less efficient and characterized by misleading interpretations. Confounding is an issue when the primary target of the work is the estimation of the regression parameters. The central point of the dissertation is the evaluation of the sampling properties of parameter estimators.
This work aims to extend the spatial confounding framework to general structured settings and to understand the behaviour of confounding as a function of the data generating process structure parameters in several scenarios focusing on the joint covariate-confounder structure. In line with the spatial statistics literature, our purpose is to quantify the sampling properties of the regression coefficient estimators and, in turn, to identify the most prominent quantities depending on the generative mechanism impacting confounding. Once the sampling properties of the estimator conditionally on the covariate process are derived as ratios of dependent quadratic forms in Gaussian random variables, we provide an analytic expression of the marginal sampling properties of the estimator using Carlson’s R function. Additionally, we propose a representative quantity for the magnitude of confounding as a proxy of the bias, its first-order Laplace approximation.
To conclude, we work under several frameworks considering spatial and temporal data with specific assumptions regarding the covariance and cross-covariance functions used to generate the processes involved. This study allows us to claim that the variability of the confounder-covariate interaction and of the covariate plays the most relevant role in determining the principal marker of the magnitude of confounding
Power converters in WBG device technology for automotive applications and characterization setups for GaN power transistors
Get PDFThis PhD dissertation envisages the design of innovative power converters exploiting WBG devices to get state-of-the-art performance in products intended for industrial applications of automotive field. The collaborations with different specialized companies, provided the opportunity to access commercially-available state-of-the-art SiC and GaN technologies and the possibility to realize innovative converter prototypes. Concerning SiC technology, the complete design of a Battery Emulator instrument in collaboration with a company leader in the automotive testing sector, was carried out from scratch exploiting state-of-the-art SiC power-modules, planar magnetics and top-notch MCU technologies. Discrete high-voltage GaN switches were exploited in the Power Supplies design for automotive charger application to target improved performances compared to the market state-of-the-art. Specifically, two high-efficiency prototypes, an AC/DC converter and a DC/DC converter of , have been realized for this purpose. To further investigate the characteristics of state-of-the-art GaN power devices two measurement set-ups have been designed. In particular, the trapping phenomenon causing the collapse of drain current during ON-state with a consequent degradation of ON-resistance has been analyzed
Wind loading predictions using computational fluid dynamics
Get PDFUsing Computational Wind Engineering, CWE, for solving wind-related problems is still a challenging task today, mainly due to the high computational cost required to obtain trustworthy simulations. In particular, the Large Eddy Simulation, LES, has been widely used for evaluating wind loads on buildings. The present thesis assesses the capability of LES as a design tool for wind loading predictions through three cases. The first case is using LES for simulating the wind field around a ground-mounted rectangular prism in Atmospheric Boundary Layer (ABL) flow. The numerical results are validated with experimental results for seven wind attack angles, giving a global understanding of the model performance. The case with the worst model behaviour is investigated, including the spatial distribution of the pressure coefficients and their discrepancies with respect to experimental results. The effects of some numerical parameters are investigated for this case to understand their effectiveness in modifying the obtained numerical results. The second case is using LES for investigating the wind effects on a real high-rise building, aiming at validating the performance of LES as a design tool in practical applications. The numerical results are validated with the experimental results in terms of the distribution of the pressure statistics and the global forces. The mesh sensitivity and the computational cost are discussed. The third case is using LES for studying the wind effects on the new large-span roof over the Bologna stadium. The dynamic responses are analyzed and design envelopes for the structure are obtained. Although it is a numerical simulation before the traditional wind tunnel tests, i.e. the validation of the numerical results are not performed, the preliminary evaluations can effectively inform later investigations and provide the final design processes with deeper confidence regarding the absence of potentially unexpected behaviours