A threshold hypothesis of institutional change: collective action in the Italian Alps during the 13th - 19th centuries.

This dissertation is about collective action issues in common property resources. Its focus is the “threshold hypothesis,” which posits the existence of a threshold in group size that drives the process of institutional change. This hypothesis is tested using a six-century dataset concerning the management of the commons by hundreds of communities in the Italian Alps. The analysis seeks to determine the group size threshold and the institutional changes that occur when groups cross this threshold. There are five main findings. First, the number of individuals in villages remained stable for six centuries, despite the population in the region tripling in the same period. Second, the longitudinal analysis of face-to-face assemblies and community size led to the empirical identification of a threshold size that triggered the transition from informal to more formal regimes to manage common property resources. Third, when groups increased in size, gradual organizational changes took place: large groups split into independent subgroups or structured interactions into multiple layers while maintaining a single formal organization. Fourth, resource heterogeneity seemed to have had no significant impact on various institutional characteristics. Fifth, social heterogeneity showed statistically significant impacts, especially on institutional complexity, consensus, and the relative importance of governance rules versus resource management rules. Overall, the empirical evidence from this research supports the “threshold hypothesis.” These findings shed light on the rationale of institutional change in common property regimes, and clarify the mechanisms of collective action in traditional societies. Further research may generalize these conclusions to other domains of collective action and to present-day applications.

Cellular Proliferation in the Prognosis of Intermediate Grade Mast Cell Tumour in Dogs

This was a retrospective study including ninety samples of dogs with a histological diagnosis of intermediate grade cutaneous mast cell tumour (MCT). The objectives of the study were to validate Minichromosome Maintenance Protein 7 (MCM7) as a prognostic marker in MCTs and to compare the ability of mitotic index (MI), Ki67 and MCM7 to predict outcome. The median survival for the entire population was not reached at 2099 days. The mean survival time was 1708 days. Seventy-two cases were censored after a median follow up of 1136 days and eighteen dogs died for causes related to the MCT after a median of 116 days. For each sample MI, Ki67 and MCM7 were determined. The Receiver Operating Characteristic (ROC) curve was obtained for each prognostic marker to evaluate the performance of the test, expressed as area under the curve, and whether the published threshold value was adequate. Kaplan-Meier and corresponding logrank test for MI, Ki67 and MCM7 as binary variables was highly significant (P<0.0001). Multivariable regression analysis of MI, Ki67 and MCM7 corrected for age and surgical margins indicated that the higher risk of dying of MCT was associated with MCM7 > 0.18 (Hazard Ration [HR] 14.7; P<0.001) followed by MI > 5 (HR 13.9; P<0.001) and Ki67 > 0.018 (HR 8.9; P<0.001). Concluding, the present study confirmed that MCM7 is an excellent prognostic marker in cutaneous MCTs being able to divide Patnaik intermediate grade tumours in two categories with different prognosis. Ki67 was equally good confirming its value as a prognostic marker in intermediate grade MCTs. The mitotic index was extremely specific, but lacked of sensitivity. Interestingly, mitotic index, Ki67 and MCM7 were independent from each other suggesting that their combination would improve their individual prognostic value.

Fattori di rischio biomeccanico e valori limite di esposizione (TLV-ACGIH®) nell’ambito dello studio di coorte della sindrome del tunnel carpale occupazionale

OBIETTIVI: Per esplorare il contributo dei fattori di rischio biomeccanico, ripetitività (hand activity level – HAL) e forza manuale (peak force - PF), nell’insorgenza della sindrome del tunnel carpale (STC), abbiamo studiato un’ampia coorte di lavoratori dell’industria, utilizzando come riferimento il valore limite di soglia (TLV©) dell’American Conference of Governmental Industrial Hygienists (ACGIH). METODI: La coorte è stata osservata dal 2000 al 2011. Abbiamo classificato l’esposizione professionale rispetto al limite di azione (AL) e al TLV dell’ACGIH in: “accettabile” (sotto AL), “intermedia” (tra AL e TLV) e “inaccettabile” (sopra TLV). Abbiamo considerato due definizioni di caso: 1) sintomi di STC; 2) sintomi e positività allo studio di conduzione nervosa (SCN). Abbiamo applicato modelli di regressione di Poisson aggiustati per sesso, età, indice di massa corporea e presenza di patologie predisponenti la malattia. RISULTATI: Nell’intera coorte (1710 lavoratori) abbiamo trovato un tasso di incidenza (IR) di sintomi di STC di 4.1 per 100 anni-persona; un IR di STC confermata dallo SCN di 1.3 per 100 anni-persona. Gli esposti “sopra TLV” presentano un rischio di sviluppare sintomi di STC di 1.76 rispetto agli esposti “sotto AL”. Un andamento simile è emerso per la seconda definizione di caso [incidence rate ratios (IRR) “sopra TLV”, 1.37 (intervallo di confidenza al 95% (IC95%) 0.84–2.23)]. Gli esposti a “carico intermedio” risultano a maggior rischio per la STC [IRR per i sintomi, 3.31 (IC95% 2.39–4.59); IRR per sintomi e SCN positivo, 2.56 (IC95% 1.47–4.43)]. Abbiamo osservato una maggior forza di associazione tra HAL e la STC. CONCLUSIONI: Abbiamo trovato un aumento di rischio di sviluppare la STC all’aumentare del carico biomeccanico: l’aumento di rischio osservato già per gli esposti a “carico intermedio” suggerisce che gli attuali valori limite potrebbero non essere sufficientemente protettivi per alcuni lavoratori. Interventi di prevenzione vanno orientati verso attività manuali ripetitive.

A New Prediction Model for Slope Stability Analysis

The instability of river bank can result in considerable human and land losses. The Po river is the most important in Italy, characterized by main banks of significant and constantly increasing height. This study presents multilayer perceptron of artificial neural network (ANN) to construct prediction models for the stability analysis of river banks along the Po River, under various river and groundwater boundary conditions. For this aim, a number of networks of threshold logic unit are tested using different combinations of the input parameters. Factor of safety (FS), as an index of slope stability, is formulated in terms of several influencing geometrical and geotechnical parameters. In order to obtain a comprehensive geotechnical database, several cone penetration tests from the study site have been interpreted. The proposed models are developed upon stability analyses using finite element code over different representative sections of river embankments. For the validity verification, the ANN models are employed to predict the FS values of a part of the database beyond the calibration data domain. The results indicate that the proposed ANN models are effective tools for evaluating the slope stability. The ANN models notably outperform the derived multiple linear regression models.

Essays in Health Economics

In the first chapter we develop a theoretical model investigating food consumption and body weight with a novel assumption regarding human caloric expenditure (i.e. metabolism), in order to investigate why individuals can be rationally trapped in an excessive weight equilibrium and why they struggle to lose weight even when offered incentives for weight-loss. This assumption allows the theoretical model to have multiple equilibria and to provide an explanation for why losing weight is so difficult even in the presence of incentives, without relying on rational addiction, time-inconsistency preferences or bounded rationality. In addition to this result we are able to characterize under which circumstances a temporary incentive can create a persistent weight loss. In the second chapter we investigate the possible contributions that social norms and peer effects had on the spread of obesity. In recent literature peer effects and social norms have been characterized as important pathways for the biological and behavioral spread of body weight, along with decreased food prices and physical activity. We add to this literature by proposing a novel concept of social norm related to what we define as social distortion in weight perception. The theoretical model shows that, in equilibrium, the effect of an increase in peers' weight on i's weight is unrelated to health concerns while it is mainly associated with social concerns. Using regional data from England we prove that such social component is significant in influencing individual weight. In the last chapter we investigate the relationship between body weight and employment probability. Using a semi-parametric regression we show that men and women employment probability do not follow a linear relationship with body mass index (BMI) but rather an inverted U-shaped one, peaking at a BMI way over the clinical threshold for overweight.