146 research outputs found
La romanizzazione del territorio di Castelfranco Emilia: il quadro archeologico fra II secolo a.C. e IV secolo d.C.
No full textIn questo contributo sono stati analizzati diversi indicatori archeologici e geomorfologici con l'obiettivo di determinare le forme, i tempi e le modalità della penetrazione romana nella Regio VIII, in particolare riguardo al territorio di Castelfranco Emilia. Attraverso l'analisi di queste fonti si è cercato di definire la cronologia dell'impianto del centro di Forum Gallorum e la sua localizzazione, da sempre argomento dibattuto, nonché di determinare le modalità di occupazione del suo agro e l'evoluzione del popolamento nel territorio
La terra del Finale: statuti e istituzioni locali nella cornice degli stati estensi
No full textLa ricerca è volta a studiare gli Statuti di età basso medievale e moderna vigenti nei confronti della Comunità di Finale Emilia attraverso i suoi testimoni manoscritti e un vario complesso di ulteriori testimonianze archivistiche. Si accerta, in particolare, l'estensione al castello di Finale e al suo territorio della normativa vigente nella città capitale dello stato Estense (ovvero Ferrara sino al 1598) non in semplice funzione sussidiaria, ma come fonte primaria per tutte le materie, fattispecie e procedure, tanto civili quanto penali, che esorbitano dal ristretto ventaglio di norme contemplate nelle scarne 18 rubriche del I libro degli Statuti locali, nel quale si può unicamente riconoscere lo specifico e distintivo statuto finalese
Le analisi archeobiologiche di Santo Stefano in Vicolongo. Resti animali
No full textVengono descritti i riconoscimenti di reperti scheletrici animali effettuati su due lotti di campioni provenienti dal sito medievale di Santo Stefano in Vicolongo, scoperto nel comune di Novi ai margini, settentrionali dell'odierna provincia di Modena. Il materiale esaminato evidenzia attività di allevamento dei più consueti mammiferi domestici utilizzati sia a scopo alimentare sia per attività secondarie, nonchè attività di pesc
A Framework for the Objective Assessment of Registration Accuracy
No full textValidation and accuracy assessment are the main bottlenecks preventing the adoption of image processing algorithms in the clinical practice. In the classical approach, a posteriori analysis is performed through objective metrics. In this work, a different approach based on Petri nets is proposed. The basic idea consists in predicting the accuracy of a given pipeline based on the identification and characterization of the sources of inaccuracy. The concept is demonstrated on a case study: intrasubject rigid and affine registration of magnetic resonance images. Both synthetic and real data are considered. While synthetic data allow the benchmarking of the performance with respect to the ground truth, real data enable to assess the robustness of the methodology in real contexts as well as to determine the suitability of the use of synthetic data in the training phase. Results revealed a higher correlation and a lower dispersion among the metrics for simulated data, while the opposite trend was observed for pathologic ones. Results show that the proposed model not only provides a good prediction performance but also leads to the optimization of the end-to-end chain in terms of accuracy and robustness, setting the ground for its generalization to different and more complex scenarios
Registration accuracy assessment on noisy neuroimages
No full textValidation and accuracy assessment are the main bottlenecks preventing the adoption of many medical image processing algorithms in the clinical practice. In the classical approach, a-posteriori analysis is performed based on some predefined objective metrics. In this paper, a different approach based on Petri Nets is proposed. The basic idea consists in predicting the accuracy that will result from a given processing on a given type of data based on the identification and characterization of the sources of inaccuracy intervening along the whole chain. Here it is proposed a proof of concept in the specific case of noisy Magnetic Resonance image registration. Magnetic Resonance images are normally corrupted by random noise from the measurement process complicating the automatic feature extraction and analysis of clinical data. The accurate registration of images observed in additive noise is a challenging task. The noise can increase the number of misregistered regions, and decrease the accuracy of subpixel registration. A Petri Net is built after the detection of the possible sources of inaccuracy, ranging from the images noise to the registration parameters adopted, and the evaluation of their respective impact on the estimation of the deformation field. A training set of five different synthetic volumes is used. Afterward, validation is performed on a different set of five synthetic volumes by comparing the estimated inaccuracy with the posterior measurements according to a set of predefined metrics. Results show that the proposed model provides a good prediction performance. An extended set of clinical data will allow the complete characterization of the system for the considered task
Instrumentum inscriptum: bolli e tituli picti
No full textIl contributo analizza l'instrumentum inscriptum (bolli e tituli picti) rinvenuto durante gli scavi presso Montegibbio di Sassuolo. I materiali presentati pertengono alle categorie della terra sigillata, delle lucerne, dei laterizi, delle anfore
Validation through Accuracy Prediction in Neuroimage Registration
No full textValidation and accuracy assessment are the main bottlenecks preventing the adoption of many medical image processing algorithms in the clinical practice. In the classical approach, a-posteriori analysis is performed based on some predefined objective metrics. The main limitation of this methodology is in the fact that it does not provide a mean to estimate what the performance would be a-priori, and thus to shape the processing workflow in the most suitable way. In this paper, we propose a different approach based on Petri Nets. The basic idea consists in predicting the accuracy that will result from a given processing on a given type of data based on the identification and characterization of the sources of inaccuracy intervening along the whole chain. Here we propose a proof of concept in the specific case of image registration. A Petri Net is constructed after the detection of the possible sources of inaccuracy and the evaluation of their respective impact on the estimation of the deformation field. A training set of five different synthetic volumes is used. Afterward, validation is performed on a different set of five synthetic volumes by comparing the estimated inaccuracy with the posterior measurements according to a set of predefined metrics. Two real cases are also considered. Results show that the proposed model provides a good prediction performance. An extended set of clinical data will allow the complete characterization of the system for the considered task
VII. Le analisi archeobiologiche di Santo Stefano in Vicolongo
No full textAnalisi archeobotaniche nel sito di Santo Stefano (Novi di Modena
Analysis of the predicted carbohydrate transport systems encoded by Bifidobacterium bifidum PRL2010
No full textThe Bifidobacterium bifidum PRL2010 genome encodes a relatively small set of predicted carbohydrate transporters. Growth
experiments and transcriptome analyses of B. bifidum PRL2010 revealed that carbohydrate utilization in this microorganism
appears to be restricted to a relatively low number of carbohydrate
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