686 resultados para blend
Resumo:
This thesis is part of the fields of Material Physics and Organic Electronics and aims to determine the charge carrier density and mobility in the hydrated conducting polymer–polyelectrolyte blend PEDOT:PSS. This kind of material combines electronic semiconductor functionality with selective ionic transport, biocompatibility and electrochemical stability in water. This advantageous material properties combination makes PEDOT:PSS a unique material to build organic electrochemical transistors (OECTs), which have relevant application as amplifying transducers for bioelectronic signals. In order to measure charge carrier density and mobility, an innovative 4-wire, contact independent characterization technique was introduced, the electrolyte-gated van der Pauw (EgVDP) method, which was combined with electrochemical impedance spectroscopy. The technique was applied to macroscopic thin film samples and micro-structured PEDOT:PSS thin film devices fabricated using photolithography. The EgVDP method revealed to be effective for the measurements of holes’ mobility in hydrated PEDOT:PSS thin films, which resulted to be <μ>=(0.67±0.02) cm^2/(V*s). By comparing this result with 2-point-probe measurements, we found that contact resistance effects led to a mobility overestimation in the latter. Ion accumulation at the drain contact creates a gate-dependent potential barrier and is discussed as a probable reason for the overestimation in 2-point-probe measurements. The measured charge transport properties of PEDOT:PSS were analyzed in the framework of an extended drift-diffusion model. The extended model fits well also to the non-linear response in the transport characterization and results suggest a Gaussian DOS for PEDOT:PSS. The PEDOT:PSS-electrolyte interface capacitance resulted to be voltage-independent, confirming the hypothesis of its morphological origin, related to the separation between the electronic (PEDOT) and ionic (PSS) phases in the blend.
Resumo:
This study reports on an international project in which students taking the course Contemporary Issues in Turkish Politics in spring 2011 and fall 2011 at two institutions of higher education, ‘Gettysburg College’ in the United States and ‘Izmir University of Economics’ in Turkey, worked together in virtual learning environments to complete various tasks as part of their course work. The project employed a blend of traditional and technology-based teaching methods in order to introduce a technology like Skype in a bi-national learning environment in Turkey. Students collaborated and interacted with their international counterparts in two different virtual contexts. First, classrooms in the two countries were merged via Skype three times to conduct classroom-to-classroom discussion sessions on Turkish politics. Second, students were paired across locations to work on several assignments. In this paper, our goal is to present how Skype is used in a bi-national context as a blended teaching tool in an upper-level college course for instructors pursuing a similar exercise. In addition to outlining the process with a focus on Skype discussions and one-on-one student projects, we provide actual assignments and discussion questions. Students’ views elicited through surveys administered throughout the semester are presented alongside anecdotal evidence to reflect how the project was received.
Resumo:
The present research work focused on the valorisation and upgrading of bio-ethanol over heterogeneous catalysts in a lab-scale continuous gas-flow system. In the Unibo laboratories, catalytic tests have been carried out in the temperature range 300-600°C by feeding an ethanol/He mixture in the reactor. After choosing the reaction conditions, ion-exchanged hydroxyapatite with transition metals (i.e., Fe, Cu) and alkaline earth metal (i.e., Sr) have been synthesized and tested. The Sr-HAP catalyst led to the formation of a complex reaction mixture the composition of which need further optimization in order to fill the requisite to be used as fuel-blend. Then, some zirconium-oxide based catalysts have been prepared through two different methods, precipitation and hydrothermal, by varying some synthetic parameters (i.e., pH, the nature of the base) and by adding a transition metal as dopant agent (i.e., Ti and Y). The presence of a dopant into the zirconia structure favoured the stabilization of the tetragonal or cubic phase against the monoclinic one. Interestingly, 5%mol Ti-doped zirconia exhibited a different catalytic behaviour yielding diethyl ether as major product at 300°C, while all the others samples produced mainly ethylene. Then, the effect of acid-base properties of sepiolite, using alkali metals (i.e., Na, K, Cs) with different metal loading (i.e., 2, 4, 5, 7, 14 wt%) as promoters, and of the redox properties of sepiolite-supported CuO or NiO, on the catalytic conversion of ethanol into n-butanol has been investigated. Thermal treated sepiolite samples mainly acted as acid catalyst, yielding preferentially the dehydration products of ethanol (ethylene and diethyl ether). Best results in terms of activity (ethanol conversion, 59%) and n-butanol selectivity (30%) where obtained at 400ºC and a contact time, W/F, of 2 g/mL·s over the catalyst consisting of sepiolite calcined at 500ºC modified with 7 wt% of cesium.
Resumo:
Interfacing materials with different intrinsic chemical-physical characteristics allows for the generation of a new system with multifunctional features. Here, this original concept is implemented for tailoring the functional properties of bi-dimensional black phosphorus (2D bP or phosphorene) and organic light-emitting transistors (OLETs). Phosphorene is highly reactive under atmospheric conditions and its small-area/lab-scale deposition techniques have hampered the introduction of this material in real-world applications so far. The protection of 2D bP against the oxygen by means of functionalization with alkane molecules and pyrene derivatives, showed long-term stability with respect to the bare 2D bP by avoiding remarkable oxidation up to 6 months, paving the way towards ultra-sensitive oxygen chemo-sensors. A new approach of deposition-precipitation heterogeneous reaction was developed to decorate 2D bP with Au nanoparticles (NP)s, obtaining a “stabilizer-free” that may broaden the possible applications of the 2D bP/Au NPs interface in catalysis and biodiagnostics. Finally, 2D bP was deposited by electrospray technique, obtaining oxidized-phosphorous flakes as wide as hundreds of µm2 and providing for the first time a phosphorous-based bidimensional system responsive to electromechanical stimuli. The second part of the thesis focuses on the study of organic heterostructures in ambipolar OLET devices, intriguing optoelectronic devices that couple the micro-scaled light-emission with electrical switching. Initially, an ambipolar single-layer OLET based on a multifunctional organic semiconductor, is presented. The bias-depending light-emission shifted within the transistor channel, as expected in well-balanced ambipolar OLETs. However, the emitted optical power of the single layer-based device was unsatisfactory. To improve optoelectronic performance of the device, a multilayer organic architecture based on hole-transporting semiconductor, emissive donor-acceptor blend and electron-transporting semiconductor was optimized. We showed that the introduction of a suitable electron-injecting layer at the interface between the electron-transporting and light-emission layers may enable a ≈ 2× improvement of efficiency at reduced applied bias.
Resumo:
La tesi si concentra sull'analisi del linguaggio economico, prestando particolare attenzione alla sua terminologia. L'importanza della terminologia economica risiede nella sua capacità di facilitare una comunicazione efficace nel campo dell'economia e di permettere una comprensione più ampia dei fenomeni economici da parte del pubblico. Tuttavia, a causa della sua complessità e specificità, essa può risultare difficile da comprendere per il pubblico laico. La ricerca affronta tre questioni chiave: definire la natura della terminologia economica e l'approccio più adatto per descriverla, determinare il livello di comprensione della terminologia economica e le variabili sociali ad essa correlate, e individuare le strategie migliori per diffondere la terminologia economica nella società. Per rispondere a queste domande, l'indagine si avvale di un approccio multidisciplinare che fonde linguistica, sociolinguistica e terminologia. Il risultato è un'analisi profonda del lessico economico e delle sue collocazioni, della comprensione della terminologia da parte del pubblico e delle strategie per migliorare tale comprensione e la sua diffusione.
Resumo:
The gastrointestinal tract (GIT) represents the major portion of the body that interfaces with the external environment, with the double function of food processing and line of defense of the body. Numerous components support and regulate the barrier function of the GIT, such as tight junctions (TJs), cytokines, commensal and pathogenic microorganisms, and other systems of the organism, as the endocannabinoid system (ECS). The ECS can control several gastrointestinal functions, as well as the regulation of intestinal inflammation. Failure of the intestinal barrier function triggers an increase of the concentration of pro-inflammatory cytokines and leads to a reduction in intestinal functionality. This thesis aimed to explore the potential of natural compounds as a new alternative approach to antibiotics not only as antimicrobial, but also supporting intestinal maturation and integrity, and as immune-boosting agents. Different experiments were performed to evaluate the potential of nature-identical compounds (NICs), organic acids (OAs), and essential oils (EOs) to support and fight various stressful stimuli. In vitro, a well characterized blend of NICs and OAs were able to improve TJs and transepithelial electrical resistance (TEER) in an intestinal cell line, exerting an anti-inflammatory potential. EOs enhanced TEER and TJs mRNA levels, with a reduction of paracellular permeability, showing antioxidant and antimicrobial properties. In vivo, thymol modulates the gene expression of ECS and gut chemosensing in the GIT of piglets, where the precise localization of the cannabinoid receptors was immunohistochemically confirmed, suggesting an anti-inflammatory potential. In conclusion, natural alternative molecules represent an effective alternative to support or replace the classical pharmacological prophylaxis. These alternative molecules act not only as antimicrobial agents, but also exerted a crucial role in supporting the intestinal barrier function, preventing oxidative stress, and reducing inflammation. Moreover, thymol seems able to modulate the ECS, representing a novel frontier to support animal health and productivity.
Resumo:
The present Dissertation shows how recent statistical analysis tools and open datasets can be exploited to improve modelling accuracy in two distinct yet interconnected domains of flood hazard (FH) assessment. In the first Part, unsupervised artificial neural networks are employed as regional models for sub-daily rainfall extremes. The models aim to learn a robust relation to estimate locally the parameters of Gumbel distributions of extreme rainfall depths for any sub-daily duration (1-24h). The predictions depend on twenty morphoclimatic descriptors. A large study area in north-central Italy is adopted, where 2238 annual maximum series are available. Validation is performed over an independent set of 100 gauges. Our results show that multivariate ANNs may remarkably improve the estimation of percentiles relative to the benchmark approach from the literature, where Gumbel parameters depend on mean annual precipitation. Finally, we show that the very nature of the proposed ANN models makes them suitable for interpolating predicted sub-daily rainfall quantiles across space and time-aggregation intervals. In the second Part, decision trees are used to combine a selected blend of input geomorphic descriptors for predicting FH. Relative to existing DEM-based approaches, this method is innovative, as it relies on the combination of three characteristics: (1) simple multivariate models, (2) a set of exclusively DEM-based descriptors as input, and (3) an existing FH map as reference information. First, the methods are applied to northern Italy, represented with the MERIT DEM (∼90m resolution), and second, to the whole of Italy, represented with the EU-DEM (25m resolution). The results show that multivariate approaches may (a) significantly enhance flood-prone areas delineation relative to a selected univariate one, (b) provide accurate predictions of expected inundation depths, (c) produce encouraging results in extrapolation, (d) complete the information of imperfect reference maps, and (e) conveniently convert binary maps into continuous representation of FH.
Resumo:
Il presente elaborato di tesi è parte di un ampio progetto finalizzato alla realizzazione di uno scarpone da sci ottenuto per il 90% di materiale da riciclo di scarponi da sci a fine vita. L’obiettivo è di realizzare la progettazione del nuovo scarpone, e caratterizzarne le proprietà flessionali avvalendosi ti tecniche di simulazione numerica FEM validata attraverso Correlazione di Immagini Digitale. La caratterizzazione flessionale è realizzata con la prova del Flex Test, che consiste nell’imporre una flessione dorsale ad una protesi di gamba. Le prime simulazioni FEM di questo complesso modello hanno evidenziato delle criticità. La presente ricerca, si pone l’obiettivo di risolvere singolarmente questi problemi. Inizialmente, si è realizzata la blend polimerica dei materiali dello scafo e del gambetto dello scarpone. Si è effettuata la caratterizzazione meccanica del materiale, confrontandolo con il materiale vergine. Si è poi ricercato il modello costitutivo più adeguato di materiale iperelastico per il FEM. Successivamente, si è ottenuto il modello CAD della scarpetta attraverso l’approccio reverse engineering, con la tecnica della scansione 3D, la quale ha consentito di ottenere il file. STEP da aggiungere al modello FEM. La conoscenza della geometria effettiva ha consentito di realizzare il design della nuova scarpetta ottenuta da materiale riciclato. Infine, si è utilizzata la Correlazione di Immagini Digitali per studiare la cinematica della chiusura dei ganci dello scafo, e per studiare lo stato di deformazione residua a chiusura effettuata. Si è valutata l’influenza del piede della protesi, e della scarpetta, durante la chiusura dei ganci. In seguito, si è confrontato quanto ottenuto dalle evidenze sperimentali della DIC, con la simulazione agli elementi finiti. Si tratta di un approccio innovativo, che vede per la prima volta implementata la Correlazione di Immagini Digitali per realizzare la caratterizzazione meccanica di uno scarpone da sci.
Resumo:
Nel presente progetto di tesi sono state preparate e studiate delle miscele polimeriche di poli(ottilene 2,5-furanoato) (POF) e il poli(trietilene 2,5-furanoato) (PTEF) a diversa composizione allo scopo di ottenere materiali adatti al packaging alimentare flessibile e sostenibile. I due omopolimeri sono stati sintetizzati mediante policondensazione in massa, ed in seguito sono state preparate le miscele fisiche per solvent casting, processate in forma di film per pressofusione. Dopo una completa caratterizzazione molecolare, i materiali realizzati sono stati caratterizzati morfologicamente (SEM), termicamente (TGA e DSC), strutturalmente (WAXS), meccanicamente (prove a trazione), e ne sono studiate le proprietà barriera. Le miscele sono risultate immiscibili ma comunque caratterizzate da buona compatibilità e stabilità termica. Considerando che il POF è un materiale gommoso e semicristallino mentre il PTEF è gommoso ma amorfo, le miscele presentano caratteristiche meccaniche coerenti con la loro composizione: in particolare, al diminuire della porzione cristallizabile POF e all’aumentare della porzione gommosa PTEF, si registra un progressivo aumento degli allungamenti a rottura e una diminuzione del modulo elastico. Inoltre, nelle blend contenenti il 50 e il 60% di PTEF, le performance barriera risultano migliori di quasi due ordini di grandezza rispetto a quelle dell’omopolimero POF. Per quanto riguarda le prove di compostaggio, le miscele con una quantità di POF superiore al 50% non subiscono degradazione, mentre si registra una totale compostabilità per le due miscele più ricche in PTEF.
Resumo:
I compositi a matrice polimerica rinforzati con fibre di carbonio (Carbon fiber reinforced polymers, CFRP) posseggono proprietà meccaniche uniche rispetto ai materiali convenzionali, ed un peso decisamente inferiore. Queste caratteristiche, negli ultimi decenni, hanno determinato un crescente interesse nei confronti dei CFRP che ha portato a numerose applicazioni in settori come l’industria aerospaziale e l’automotive. Le sollecitazioni cui i CFRP laminati sono soggetti durante la vita d’uso possono causare fenomeni di delaminazione che, portando ad una drastica riduzione delle proprietà meccaniche del materiale, ne compromettono l’integrità strutturale. Nel presente lavoro di tesi, sono state integrate in laminati CFRP membrane elettrofilate da blend polimeriche con capacità di self-healing. Le migliori condizioni da applicare in fase di cura del composito sono state approfonditamente investigate mediante analisi termica (DSC). Per verificare la capacità di autoriparazione dei laminati modificati, è stata valutata la tenacità a frattura interlaminare in Modo I e Modo II prima e dopo il trattamento di attivazione del self-healing.
Resumo:
The ability to create hybrid systems that blend different paradigms has now become a requirement for complex AI systems usually made of more than a component. In this way, it is possible to exploit the advantages of each paradigm and exploit the potential of different approaches such as symbolic and non-symbolic approaches. In particular, symbolic approaches are often exploited for their efficiency, effectiveness and ability to manage large amounts of data, while symbolic approaches are exploited to ensure aspects related to explainability, fairness, and trustworthiness in general. The thesis lies in this context, in particular in the design and development of symbolic technologies that can be easily integrated and interoperable with other AI technologies. 2P-Kt is a symbolic ecosystem developed for this purpose, it provides a logic-programming (LP) engine which can be easily extended and customized to deal with specific needs. The aim of this thesis is to extend 2P-Kt to support constraint logic programming (CLP) as one of the main paradigms for solving highly combinatorial problems given a declarative problem description and a general constraint-propagation engine. A real case study concerning school timetabling is described to show a practical usage of the CLP(FD) library implemented. Since CLP represents only a particular scenario for extending LP to domain-specific scenarios, in this thesis we present also a more general framework: Labelled Prolog, extending LP with labelled terms and in particular labelled variables. The designed framework shows how it is possible to frame all variations and extensions of LP under a single language reducing the huge amount of existing languages and libraries and focusing more on how to manage different domain needs using labels which can be associated with every kind of term. Mapping of CLP into Labeled Prolog is also discussed as well as the benefits of the provided approach.