Lesion detection and classification in breast cancer: evaluation of approaches based on morphological features, tracer kinetic modelling and semi-quantitative parameters in MR functional imaging (DCE-MRI)

The diagnosis, grading and classification of tumours has benefited considerably from the development of DCE-MRI which is now essential to the adequate clinical management of many tumour types due to its capability in detecting active angiogenesis. Several strategies have been proposed for DCE-MRI evaluation. Visual inspection of contrast agent concentration curves vs time is a very simple yet operator dependent procedure, therefore more objective approaches have been developed in order to facilitate comparison between studies. In so called model free approaches, descriptive or heuristic information extracted from time series raw data have been used for tissue classification. The main issue concerning these schemes is that they have not a direct interpretation in terms of physiological properties of the tissues. On the other hand, model based investigations typically involve compartmental tracer kinetic modelling and pixel-by-pixel estimation of kinetic parameters via non-linear regression applied on region of interests opportunely selected by the physician. This approach has the advantage to provide parameters directly related to the pathophysiological properties of the tissue such as vessel permeability, local regional blood flow, extraction fraction, concentration gradient between plasma and extravascular-extracellular space. Anyway, nonlinear modelling is computational demanding and the accuracy of the estimates can be affected by the signal-to-noise ratio and by the initial solutions. The principal aim of this thesis is investigate the use of semi-quantitative and quantitative parameters for segmentation and classification of breast lesion. The objectives can be subdivided as follow: describe the principal techniques to evaluate time intensity curve in DCE-MRI with focus on kinetic model proposed in literature; to evaluate the influence in parametrization choice for a classic bi-compartmental kinetic models; to evaluate the performance of a method for simultaneous tracer kinetic modelling and pixel classification; to evaluate performance of machine learning techniques training for segmentation and classification of breast lesion.

Sealing practices in the Near East during the Late Bronze II period: administration and trade in the age of internationalism

This PhD research investigates sealing practices in the Near East during the Late Bronze II period (ca. 1375-1175 BCE). Sealings from archaeological contexts in the Southern Levant, North Syria, Upper and Lower Mesopotamia and South-Western Iran are taken under consideration and analyzed on multiple aspects at local, regional, and international levels. The contextual, functional, and iconographic analysis of these materials, in fact, allows to reconstruct the nature of the transactions and the agents involved in the sealing operations within local administrative systems, highlighting at the same time aspects of inter-regional interactions during the age of internationalism. Following a survey of the available evidence, a corpus consisting of 1845 records from 28 different sites across the ANE, has been filed using MS Access and MS Excel, including 740 unpublished sealing from Karkemish. Among this large evidence, the corpus of recently discovered sealings from Karkemish and the other scattered sealings from the North Syrian provinces, for instance, provide insights on the core-periphery relationships under the Hittite Empire; while the deposit from Building P at Tell Sheikh Hamad, that of the Middle Assyrian houses at Tell Fekheriye, and of the dunnu of Tell Sabi Abyad, significantly contributes to defining the administration of provinces within the Middle Assyrian state and the regional circulation of good. The less extensive evidence from South Mesopotamia under the Kassite rule and from Middle Elamite contexts in South-Western Iran somewhat contribute as well to the understanding of sealing practices in the LB II period. The South Levantine kingdoms, on the other hand, seems participates to the Egyptian regional network of exchanges and sealing practices.

Measure of Global Specialization and Spatial Clustering for the Identification of "Specialized" Agglomeration

The intensity of regional specialization in specific activities, and conversely, the level of industrial concentration in specific locations, has been used as a complementary evidence for the existence and significance of externalities. Additionally, economists have mainly focused the debate on disentangling the sources of specialization and concentration processes according to three vectors: natural advantages, internal, and external scale economies. The arbitrariness of partitions plays a key role in capturing these effects, while the selection of the partition would have to reflect the actual characteristics of the economy. Thus, the identification of spatial boundaries to measure specialization becomes critical, since most likely the model will be adapted to different scales of distance, and be influenced by different types of externalities or economies of agglomeration, which are based on the mechanisms of interaction with particular requirements of spatial proximity. This work is based on the analysis of the spatial aspect of economic specialization supported by the manufacturing industry case. The main objective is to propose, for discrete and continuous space: i) a measure of global specialization; ii) a local disaggregation of the global measure; and iii) a spatial clustering method for the identification of specialized agglomerations.

Filiera corta: percorsi di innovazione tecnici, organizzativi e sociali nella gestione strategica delle nicchie. Esperienze in Toscana e in Provenza

There is a widening consensus around the fact that, in many developed countries, food production-consumption patterns are in recent years interested by a process of deep change towards diversification and re-localisation practices, as a counter-tendency to the trend to the increasing disconnection between farming and food, producers and consumers. The relevance of these initiatives doesn't certainly lie on their economic dimension, but rather in their intense diffusion and growth rate, their spontaneous and autonomous nature and, especially, their intrinsic innovative potential. These dynamics involve a wide range of actors around local food patterns, embedding short food supply chains initiatives within a more complex and wider process of rural development, based on principles of sustainability, multifunctionality and valorisation of endogenous resources. In this work we have been analysing these features through a multi-level perspective, with reference to the dynamics between niche and regime and the inherent characteristics of the innovation paths. We apply this approach, through a qualitative methodology, to the analysis of the experience of farmers’ markets and Solidarity-Based Consumers Groups (Gruppi di Acquisto Solidale) ongoing in Tuscany, seeking to highlight the dynamics that are affecting the establishment of this alternative food production-consumption model (and its related innovative potential) from within and from without. To verify if and in which conditions they can constitute a niche, a protected space where radical innovations can develop, we make reference to the three interrelated analytic dimensions of socio-technical systems: the actors (i.e. individuals. social groups, organisations), the rules and institutions system, and the artefacts (i.e. the material and immaterial contexts in which the actors move). Through it, we analyse the innovative potential of niches and the level of their structuration and , then, the mechanisms of system transition, focusing on the new dynamics within the niche and between the niche and the policy regime emerging after the growth of interest by mass-media and public institutions and their direct involvement in the initiatives. Following the development of these significant experiences, we explore more deeply social, economic, cultural, political and organisational factors affecting innovations in face-to-face interactions, underpinning the critical aspects (sharing of alternative values, coherence at individual choices level, frictions on organisational aspects, inclusion/exclusion, attitudes towards integration at territorial level), towards uncovering until to the emergence of tensions and the risks of opportunistic behaviours that might arise from their growth. Finally, a comparison with similar experiences abroad is drawn (specifically with Provence), in order to detect food for thought, potentially useful for leading regional initiativestowards transition path.

Essays on Regional Development and Internationalisation

This collection of essays examines various aspects of regional development and the issues of internationalization. The first essay investigates the implications of the impressive growth of China from a rural-urban perspective and addresses the topic of convergence in China by employing a non-parametrical approach to study the distribution dynamics of per capita income at province, rural and urban levels. To better understand the degree of inequality characterizing China and the long-term predictions of convergence or divergence of its different territorial aggregations, the second essay formulates a composite indicator of Regional Development (RDI) to benchmark development at province and sub-province level. The RDI goes beyond the uni-dimensional concept of development, generally proxied by the GDP per capita, and gives attention to the rural-urban dimension. The third essay “Internationalization and Trade Specialization in Italy. The role of China in the international intra-firm trade of the Italian regions” - deals with another aspect of regional economic development: the progressive de-industrialisation and de-localization of the local production. This essay looks at the trade specialization of selected Italian regions (those regions specialized in manufacturing) and the fragmentation of the local production on a global scale. China represents in this context an important stakeholder and the paper documents the importance of this country in the regional intra-firm trade.

Topics in Local Economic Development

This thesis contributes to the current debate in literature about local economic development by considering two different topics: quality of institutions, and the role of clusters in innovation and productivity growth. The research is built upon three papers. The first paper deals with the analysis of the effect of administrative continuity on administrative efficiency. The analysis underlines the importance of different typologies of social capital. Findings reveal a positive impact on administrative efficiency (AE) by administrative continuity (AC) when it is coupled by bridging and linking social capital. On the contrary, bonding social capital influences negatively the effect by AC on AE. The second paper investigates the spatial interaction in levels of quality of government (QoG) among European regions. Notwithstanding the largely recognised role by institutions in the design of regional policies, no study has been conducted about the mechanisms of interaction and diffusion of QoG at regional level. This research wants to overcome this knowledge gap in literature. Findings reveal a heterogeneity in spatial interaction among groups of regions, i.e. ‘leader regions’ (Northern regions) and ‘lagging regions’ (Southern regions), when considering different mechanisms of interaction (learning / imitating competition and pure competition). Moreover, the effect of wealth on the levels of QoG is nonlinear. Finally, the third paper analyses the relation among specialization and productivity within the agricultural sector. In literature, the study of clusters dynamics has long neglected agriculture. The analysis describes the changes in sectorial specialization for eight main crop groups in Italian regions (NUTS 3), assessing the existence of spatial autocorrelations by using an exploratory data analysis. Furthermore, the effect of specialization on productivity is analysed within the main crop groups using a spatial panel data model. Findings reveal a marked tendency to specialization in the Italian agriculture, and a heterogeneous effect by specialization on productivity.

Consumer Perception and Willingness to Pay for Local Food

A growing number of empirical studies recently investigated consumers' valuation for local food products. However, different aspects related to the local food consumption still remain vague or unexplored. As such, the objective of the present research is to fulfill the existing literature using a mixed methodological approach for the investigation of consumers' preferences and Willingness to Pay (WTP) for local food products. First of all, local food is still a blurred concept and this factor might be source of individuals' misperception for the local origin meaning. Therefore, a qualitative research has been performed in order to investigate the meaning and the perception of the local food in the Italian food market. Results from this analysis have been used as inputs for the building of a non-hypothetical Real Choice Experiment (RCE) to estimate consumers' WTP for locally and organically produced apple sauce. The contribution of this study is three-fold: (1) consumers' valuation for the local origin is interpreted in terms of regional borders, over the organic food claim in case of an unusual food product in the area of interest, (2) the interaction between individuals' personality traits and consumers’ preferences for local and organic foods is analyzed, (3) the role of Commitment Cost creation in consumers' choice making in case of uncertainty due to the use of a novel food product and of an unconventional food claim is investigated. Results suggest that consumers are willing to pay a higher price premium for organic over locally produced apple sauce, possibly because of the presence of a regulated certification. In accordance with Commitment Cost theory, the organic label might thus decrease consumers' uncertainty for the features of the product in question. Results also indicate that individuals' personality can be source of heterogeneity in consumers' preferences.

Kinematics of local and high-z galaxies through 3D modeling of emission-line datacubes

The kinematics is a fundamental tool to infer the dynamical structure of galaxies and to understand their formation and evolution. Spectroscopic observations of gas emission lines are often used to derive rotation curves and velocity dispersions. It is however difficult to disentangle these two quantities in low spatial-resolution data because of beam smearing. In this thesis, we present 3D-Barolo, a new software to derive the gas kinematics of disk galaxies from emission-line data-cubes. The code builds tilted-ring models in the 3D observational space and compares them with the actual data-cubes. 3D-Barolo works with data at a wide range of spatial resolutions without being affected by instrumental biases. We use 3D-Barolo to derive rotation curves and velocity dispersions of several galaxies in both the local and the high-redshift Universe. We run our code on HI observations of nearby galaxies and we compare our results with 2D traditional approaches. We show that a 3D approach to the derivation of the gas kinematics has to be preferred to a 2D approach whenever a galaxy is resolved with less than about 20 elements across the disk. We moreover analyze a sample of galaxies at z~1, observed in the H-alpha line with the KMOS/VLT spectrograph. Our 3D modeling reveals that the kinematics of these high-z systems is comparable to that of local disk galaxies, with steeply-rising rotation curves followed by a flat part and H-alpha velocity dispersions of 15-40 km/s over the whole disks. This evidence suggests that disk galaxies were already fully settled about 7-8 billion years ago. In summary, 3D-Barolo is a powerful and robust tool to separate physical and instrumental effects and to derive a reliable kinematics. The analysis of large samples of galaxies at different redshifts with 3D-Barolo will provide new insights on how galaxies assemble and evolve throughout cosmic time.