Sviluppo di una applicazione di test per un sistema di localizzazione

La tesi consiste nella descrizione di una applicazione in Java atta a eseguire test e simulazioni di un sistema di localizzazione in radiofrequenza. Viene descritta l'interfaccia e le funzionalità.

Progettazione ed Implementazione di un sistema di localizzazione di oggetti tramite Beacon

In questo elaborato viene descritto il funzionamento dei Beacon. Essi rappresentano un congegno che sfrutta la tecnologia Bluetooth 4.0, la quale, rispetto alle precedenti, si differenzia per alcune innovazioni apportate. Il loro utilizzo originario era rivolto al mondo del Mobile Advertising, ovvero l’invio di messaggi ad hoc agli utenti, sulla base di studi mirati a personalizzare un contenuto. Con lo scorrere del tempo invece si sono cercate nuove modalità d'uso in relazione al mondo da cui derivano: L'”Internet of Things” (IoT). Questa espressione descrive l'intento di dare vita agli oggetti. L'obiettivo di fondo è stato quello di delineare uno dei possibili casi d'uso. Nel concreto il sistema si prefigge, sfruttando l’interazione tra gli utenti, di monitorare la posizione in ambienti indoor di oggetti, usando il segnale RSSI dei Beacon ai quali sono associati, fornire l’aggiornamento dell’indirizzo in cui sono situati, visualizzabile sulle mappe Google con cui l’app è collegata, notificare ai proprietari gli eventuali ritrovamenti di uno di essi, rintracciare i dispositivi altrui. Prima di ciò, si è svolta un'analisi inerente le prestazioni che i Beacon sono in grado di offrire, in condizioni normali, prestando attenzione ad alcuni parametri come: frequenza di trasmissione (l’intervallo entro il quale vengono emessi segnali), il periodo di scansione (l’effettivo periodo di attività), più un’altra serie di risultati acquisiti durante l'esecuzione di alcuni esperimenti.

Integrazione di piattaforme d'esecuzione e simulazione in una toolchain Scala per aggregate programming

La tesi è calata nell'ambito dell'Aggregate Programming e costituita da una prima parte introduttiva su questo ambito, per poi concentrarsi sulla descrizione degli elaborati prodotti e infine qualche nota conclusiva unitamente a qualche possibile sviluppo futuro. La parte progettuale consiste nell'integrazione del framework Scafi con il simulatore Alchemist e con una piattaforma di creazione e di esecuzione di sistemi in ambito Spatial Computin, con lo scopo di potenziare la toolchain esistente per Aggregate Programming. Inoltre si riporta anche un breve capitolo per l'esecuzione del framework scafi sviluppato in scala sulla piattaforma Android.

simulazione della cinetica chimica in una scarica a barriera dielettrica in aria a pressione atmosferica

Sviluppo di un simulatore della cinetica chimica in una scarica a barriera dielettrica in aria a pressione atmosferica, focalizzando l'attenzione nei processi di creazione e decomposizione dell'ozono. Illustrazione del parco software utilizzato e caratterizzazione del modello fisico reale. Analisi e confronto tra i dati ottenuti tramite calcolatore e i dati ottenuti dalle misure al laboratorio.

Multiplex suspension array for human anti-carbohydrate antibody profiling

Glycan-binding antibodies form a significant subpopulation of both natural and acquired antibodies and play an important role in various immune processes. They are for example involved in innate immune responses, cancer, autoimmune diseases, and neurological disorders. In the present study, a microsphere-based flow-cytometric immunoassay (suspension array) was applied for multiplexed detection of glycan-binding antibodies in human serum. Several approaches for immobilization of glycoconjugates onto commercially available fluorescent microspheres were compared, and as the result, the design based on coupling of end-biotinylated glycopolymers has been selected. This method requires only minute amounts of glycans, similar to a printed glycan microarray. The resulting glyco-microspheres were used for detection of IgM and IgG antibodies directed against ABO blood group antigens. The possibility of multiplexing this assay was demonstrated with mixtures of microspheres modified with six different ABO related glycans. Multiplexed detection of anti-glycan IgM and IgG correlated well with singleplex assays (Pearson's correlation coefficient r = 0.95-0.99 for sera of different blood groups). The suspension array in singleplex format for A/B trisaccharide, H(di) and Le(x) microspheres corresponded well to the standard ELISA (r > 0.94). Therefore, the described method is promising for rapid, sensitive, and reproducible detection of anti-glycan antibodies in a multiplexed format.

Thin-Film Sparse Boundary Array Design for Passive Acoustic Mapping During Ultrasound Therapy

A new 2-D hydrophone array for ultrasound therapy monitoring is presented, along with a novel algorithm for passive acoustic mapping using a sparse weighted aperture. The array is constructed using existing polyvinylidene fluoride (PVDF) ultrasound sensor technology, and is utilized for its broadband characteristics and its high receive sensitivity. For most 2-D arrays, high-resolution imagery is desired, which requires a large aperture at the cost of a large number of elements. The proposed array's geometry is sparse, with elements only on the boundary of the rectangular aperture. The missing information from the interior is filled in using linear imaging techniques. After receiving acoustic emissions during ultrasound therapy, this algorithm applies an apodization to the sparse aperture to limit side lobes and then reconstructs acoustic activity with high spatiotemporal resolution. Experiments show verification of the theoretical point spread function, and cavitation maps in agar phantoms correspond closely to predicted areas, showing the validity of the array and methodology.

A 20-channel receive-only mouse array coil for a 3 T clinical MRI system

A 20-channel phased-array coil for MRI of mice has been designed, constructed, and validated with bench measurements and high-resolution accelerated imaging. The technical challenges of designing a small, high density array have been overcome using individual small-diameter coil elements arranged on a cylinder in a hexagonal overlapping design with adjacent low impedance preamplifiers to further decouple the array elements. Signal-to-noise ratio (SNR) and noise amplification in accelerated imaging were simulated and quantitatively evaluated in phantoms and in vivo mouse images. Comparison between the 20-channel mouse array and a length-matched quadrature driven small animal birdcage coil showed an SNR increase at the periphery and in the center of the phantom of 3- and 1.3-fold, respectively. Comparison with a shorter but SNR-optimized birdcage coil (aspect ratio 1:1 and only half mouse coverage) showed an SNR gain of twofold at the edge of the phantom and similar SNR in the center. G-factor measurements indicate that the coil is well suited to acquire highly accelerated images.

Investigating human audio-visual object perception with a combination of hypothesis-generating and hypothesis-testing fMRI analysis tools

Primate multisensory object perception involves distributed brain regions. To investigate the network character of these regions of the human brain, we applied data-driven group spatial independent component analysis (ICA) to a functional magnetic resonance imaging (fMRI) data set acquired during a passive audio-visual (AV) experiment with common object stimuli. We labeled three group-level independent component (IC) maps as auditory (A), visual (V), and AV, based on their spatial layouts and activation time courses. The overlap between these IC maps served as definition of a distributed network of multisensory candidate regions including superior temporal, ventral occipito-temporal, posterior parietal and prefrontal regions. During an independent second fMRI experiment, we explicitly tested their involvement in AV integration. Activations in nine out of these twelve regions met the max-criterion (A < AV > V) for multisensory integration. Comparison of this approach with a general linear model-based region-of-interest definition revealed its complementary value for multisensory neuroimaging. In conclusion, we estimated functional networks of uni- and multisensory functional connectivity from one dataset and validated their functional roles in an independent dataset. These findings demonstrate the particular value of ICA for multisensory neuroimaging research and using independent datasets to test hypotheses generated from a data-driven analysis.

MicroRNA Expression Array Identifies Novel Diagnostic Markers for Conventional and Oncocytic Follicular Thyroid Carcinomas

Objective:The most difficult thyroid tumors to be diagnosed by cytology and histology are conventional follicular carcinomas (cFTCs) and oncocytic follicular carcinomas (oFTCs). Several microRNAs (miRNAs) have been previously found to be consistently deregulated in papillary thyroid carcinomas; however, very limited information is available for cFTC and oFTC. The aim of this study was to explore miRNA deregulation and find candidate miRNA markers for follicular carcinomas that can be used diagnostically.Design:Thirty-eight follicular thyroid carcinomas (21 cFTCs, 17 oFTCs) and 10 normal thyroid tissue samples were studied for expression of 381 miRNAs using human microarray assays. Expression of deregulated miRNAs was confirmed by individual RT-PCR assays in all samples. In addition, 11 follicular adenomas, two hyperplastic nodules (HNs), and 19 fine-needle aspiration samples were studied for expression of novel miRNA markers detected in this study.Results:The unsupervised hierarchical clustering analysis demonstrated individual clusters for cFTC and oFTC, indicating the difference in miRNA expression between these tumor types. Both cFTCs and oFTCs showed an up-regulation of miR-182/-183/-221/-222/-125a-3p and a down-regulation of miR-542-5p/-574-3p/-455/-199a. Novel miRNA (miR-885-5p) was found to be strongly up-regulated (>40-fold) in oFTCs but not in cFTCs, follicular adenomas, and HNs. The classification and regression tree algorithm applied to fine-needle aspiration samples demonstrated that three dysregulated miRNAs (miR-885-5p/-221/-574-3p) allowed distinguishing follicular thyroid carcinomas from benign HNs with high accuracy.Conclusions:In this study we demonstrate that different histopathological types of follicular thyroid carcinomas have distinct miRNA expression profiles. MiR-885-5p is highly up-regulated in oncocytic follicular carcinomas and may serve as a diagnostic marker for these tumors. A small set of deregulated miRNAs allows for an accurate discrimination between follicular carcinomas and hyperplastic nodules and can be used diagnostically in fine-needle aspiration biopsies.