Sintesi e caratterizzazione di nuovi copoliesteri alifatici multiblocco per applicazioni biomedicali

La ricerca nell’ambito dell’ingegneria tissutale e del rilascio controllato di farmaci ha compiuto notevoli progressi negli ultimi anni. In questo contesto, i materiali polimerici rappresentano senza dubbio la tipologia più adatta: è infatti possibile modularne piuttosto facilmente le proprietà finali per ottenere materiali con caratteristiche ad hoc per il tipo di applicazione scelta, garantendo al contempo il mantenimento di biodegradabilità e biocompatibilità, essenziali in campo biomedicale. All’interno della classe dei polimeri, i poliesteri alifatici risultano particolarmente interessanti e promettenti. Tra questi ultimi, il poli(butilene succinato) (PBS) è utilizzato soprattutto nel campo degli imballaggi biodegradabili grazie alla buona stabilità termica e alla elevata temperatura di fusione (115°C). Di contro, tale polimero è caratterizzato da tempi di biodegradazione lunghi, dovuti all’elevato grado di cristallinità (circa 45-50%), nonché da proprietà meccaniche non ottimali per alcune applicazioni. In tale contesto si inserisce il presente lavoro di tesi che ha come scopo la realizzazione di nuovi poli(esteri uretani) multiblocco a base di PBS, caratterizzati da proprietà migliorate rispetto all’omopolimero di partenza. Al fine di ottenere nuovi materiali che presentino una maggiore velocità di degradazione, combinata con un comportamento meccanico sia elastomerico che termoplastico, sono state prese in considerazione due diverse unità copolimeriche: una cosiddetta “hard” e l’altra “soft”. L’alternanza di queste due porzioni permette infatti di realizzare un polimero tenace, con una elevata temperatura di fusione (dovuta all’elevato grado di cristallinità del segmento hard), e con un basso modulo elastico ed un elevato allungamento a rottura (tipici invece del segmento soft).

Study of a wind-wave numerical model and its integration with ocean and oil-spill numerical models

The ability to represent the transport and fate of an oil slick at the sea surface is a formidable task. By using an accurate numerical representation of oil evolution and movement in seawater, the possibility to asses and reduce the oil-spill pollution risk can be greatly improved. The blowing of the wind on the sea surface generates ocean waves, which give rise to transport of pollutants by wave-induced velocities that are known as Stokes’ Drift velocities. The Stokes’ Drift transport associated to a random gravity wave field is a function of the wave Energy Spectra that statistically fully describe it and that can be provided by a wave numerical model. Therefore, in order to perform an accurate numerical simulation of the oil motion in seawater, a coupling of the oil-spill model with a wave forecasting model is needed. In this Thesis work, the coupling of the MEDSLIK-II oil-spill numerical model with the SWAN wind-wave numerical model has been performed and tested. In order to improve the knowledge of the wind-wave model and its numerical performances, a preliminary sensitivity study to different SWAN model configuration has been carried out. The SWAN model results have been compared with the ISPRA directional buoys located at Venezia, Ancona and Monopoli and the best model settings have been detected. Then, high resolution currents provided by a relocatable model (SURF) have been used to force both the wave and the oil-spill models and its coupling with the SWAN model has been tested. The trajectories of four drifters have been simulated by using JONSWAP parametric spectra or SWAN directional-frequency energy output spectra and results have been compared with the real paths traveled by the drifters.

Climatological analysis of temperature and salinity fields in the Mediterranean sea

A climatological field is a mean gridded field that represents the monthly or seasonal trend of an ocean parameter. This instrument allows to understand the physical conditions and physical processes of the ocean water and their impact on the world climate. To construct a climatological field, it is necessary to perform a climatological analysis on an historical dataset. In this dissertation, we have constructed the temperature and salinity fields on the Mediterranean Sea using the SeaDataNet 2 dataset. The dataset contains about 140000 CTD, bottles, XBT and MBT profiles, covering the period from 1900 to 2013. The temperature and salinity climatological fields are produced by the DIVA software using a Variational Inverse Method and a Finite Element numerical technique to interpolate data on a regular grid. Our results are also compared with a previous version of climatological fields and the goodness of our climatologies is assessed, according to the goodness criteria suggested by Murphy (1993). Finally the temperature and salinity seasonal cycle for the Mediterranean Sea is described.

A study of air-sea interaction processes on water mass formation and upwelling in the Mediterranean sea

Air-sea interactions are a key process in the forcing of the ocean circulation and the climate. Water Mass Formation is a phenomenon related to extreme air-sea exchanges and heavy heat losses by the water column, being capable to transfer water properties from the surface to great depth and constituting a fundamental component of the thermohaline circulation of the ocean. Wind-driven Coastal Upwelling, on the other hand, is capable to induce intense heat gain in the water column, making this phenomenon important for climate change; further, it can have a noticeable influence on many biological pelagic ecosystems mechanisms. To study some of the fundamental characteristics of Water Mass Formation and Coastal Upwelling phenomena in the Mediterranean Sea, physical reanalysis obtained from the Mediterranean Forecating System model have been used for the period ranging from 1987 to 2012. The first chapter of this dissertation gives the basic description of the Mediterranean Sea circulation, the MFS model implementation, and the air-sea interaction physics. In the second chapter, the problem of Water Mass Formation in the Mediterranean Sea is approached, also performing ad-hoc numerical simulations to study heat balance components. The third chapter considers the study of Mediterranean Coastal Upwelling in some particular areas (Sicily, Gulf of Lion, Aegean Sea) of the Mediterranean Basin, together with the introduction of a new Upwelling Index to characterize and predict upwelling features using only surface estimates of air-sea fluxes. Our conclusions are that latent heat flux is the driving air-sea heat balance component in the Water Mass Formation phenomenon, while sensible heat exchanges are fundamental in Coastal Upwelling process. It is shown that our upwelling index is capable to reproduce the vertical velocity patterns in Coastal Upwelling areas. Nondimensional Marshall numbers evaluations for the open-ocean convection process in the Gulf of Lion show that it is a fully turbulent, three-dimensional phenomenon.

Nuovi elastomeri termoplastici "soft-hard" a base di pbs per applicazioni biomedicali

Nuovi elastomeri termoplastici "soft-hard" a base di PBS per applicazioni biomedicali

Nuovi copoliesteri multiblocco bio-based per applicazioni biomedicali: Correlazioni proprieta-struttura.

Sintesi e caratterizzazione di nuovi poliesteri alifatici per uso biomedicale.

Proposta di sottotitolaggio della serie tv "los quien"

L'obiettivo di questo progetto è stato il sottotitolaggio del primo episodio della sitcom spagnola "Los Quién". Nel primo capitolo viene presentata la traduzione audiovisiva e diverse tecniche di trasferimento del linguaggio per i prodotti audiovisivi, in particolare viene approfondito il sottotitolaggio e le sue caratteristiche. Il secondo capitolo è dedicato all'ampliamento sulle fiction e sulle sitcom, presentando, inoltre, la serie e i personaggi. Il terzo capitolo presenta la proposta di sottotitolaggio. Il quarto e ultimo capitolo si concentra sull'analisi delle diverse difficoltà linguistiche incontrate e il commento sulle strategie traduttive adottate.

Observations and modeling of the Marginal Ice Zone

Global climate change in recent decades has strongly influenced the Arctic generating pronounced warming accompanied by significant reduction of sea ice in seasonally ice-covered seas and a dramatic increase of open water regions exposed to wind [Stephenson et al., 2011]. By strongly scattering the wave energy, thick multiyear ice prevents swell from penetrating deeply into the Arctic pack ice. However, with the recent changes affecting Arctic sea ice, waves gain more energy from the extended fetch and can therefore penetrate further into the pack ice. Arctic sea ice also appears weaker during melt season, extending the transition zone between thick multi-year ice and the open ocean. This region is called the Marginal Ice Zone (MIZ). In the Arctic, the MIZ is mainly encountered in the marginal seas, such as the Nordic Seas, the Barents Sea, the Beaufort Sea and the Labrador Sea. Formed by numerous blocks of sea ice of various diameters (floes) the MIZ, under certain conditions, allows maritime transportation stimulating dreams of industrial and touristic exploitation of these regions and possibly allowing, in the next future, a maritime connection between the Atlantic and the Pacific. With the increasing human presence in the Arctic, waves pose security and safety issues. As marginal seas are targeted for oil and gas exploitation, understanding and predicting ocean waves and their effects on sea ice become crucial for structure design and for real time safety of operations. The juxtaposition of waves and sea ice represents a risk for personnel and equipment deployed on ice, and may complicate critical operations such as platform evacuations. The risk is difficult to evaluate because there are no long-term observations of waves in ice, swell events are difficult to predict from local conditions, ice breakup can occur on very short time-scales and wave-ice interactions are beyond the scope of current forecasting models [Liu and Mollo-Christensen, 1988,Marko, 2003]. In this thesis, a newly developed Waves in Ice Model (WIM) [Williams et al., 2013a,Williams et al., 2013b] and its related Ocean and Sea Ice model (OSIM) will be used to study the MIZ and the improvements of wave modeling in ice infested waters. The following work has been conducted in collaboration with the Nansen Environmental and Remote Sensing Center and within the SWARP project which aims to extend operational services supporting human activity in the Arctic by including forecast of waves in ice-covered seas, forecast of sea-ice in the presence of waves and remote sensing of both waves and sea ice conditions. The WIM will be included in the downstream forecasting services provided by Copernicus marine environment monitoring service.