Le sovvenzioni estere e le misure compensative alle distorsioni statali nel diritto internazionale

La presente tesi dottorale si pone l’obiettivo di analizzare il nuovo Regolamento (UE) 2022/2560, volto a disciplinare le sovvenzioni estere che distorcono il mercato interno. Nel corso degli ultimi decenni nel mercato dell’Unione europea si è registrato un progressivo incremento del sovvenzionamento estero, sostanziatosi nell’elargizione di sostegni economici erogati da Paesi terzi a beneficio di imprese operanti nel territorio dell’UE. Il mercato dell’eurozona è sempre stato storicamente ap...

Da Brescia all’Europa: le reti epistolari di Angelo Maria Querini e Giammaria Mazzuchelli con il mondo d’oltralpe

Questa tesi è il risultato di uno studio di alcuni selezionati carteggi di Angelo Maria Querini e Giammaria Mazzuchelli con i corrispondenti d’oltralpe, in particolare francesi e tedeschi. Proprio perché entrambi bresciani di nascita ed entrambi cresciuti più o meno contemporaneamente nel pieno del riscatto erudito della Repubblica delle lettere italiana, i due eruditi mi sono parsi una chiave d’accesso interessante per indagare le forme di scambio culturale – è questa, peraltro, la formula a...

Forging the Future: Climate Change Disclosure, Role Expectations, and the Identity of Professional Accountants

Inspired by the urgency of the climate change impacts and the changing context of the accounting profession, the present study broadly reviews the climate change disclosure (CCD) literature, explores the role expectations of accountants in climate change accounting (CCA), and informs the most important (salient) identity of professional accountants in CCA and sustainability reporting. It presents three individual studies, comprising of i) a comprehensive review on CCD literature with a concep...

Plasma-Catalytic Synthesis of NH3: An Experimental Investigation and Insights on H2 Storage Solutions

Spatial Downscaling and Forecasting of Atmospheric Variables over Complex Terrain Using Machine Learning

Accurate fine-resolution weather and climate data is crucial for different applications like agriculture, energy, and insurance. This is particularly necessary in complex terrain where the variability of atmospheric variables is strongly influenced by topography. Traditional Global Circulation Models (GCMs), however, typically have a coarse spatial resolution that is unable to capture local scale variations, leading to limitations in regional climate applications. This thesis addresses these ...

Discovery and characterization of Novel NAD+-dependent formate dehydrogenases (FDHs) for enzymatic Carbon Dioxide-Formate Interconversion

Formate dehydrogenases (FDHs) have become important biocatalysts for the reduction of CO₂ and the oxidation of formate with potential uses in the manufacture of biofuel and industrial carbon capture. However, these enzymes’ cofactor selectivity, stability, and efficiency remain significant obstacles to their broad application. In order to identify the key sequence determinants of FDH’s thermostability and catalytic capabilities, we applied a directed evolution approach as well as phylogenetic...

Graphon Mean Field Games with Finite States and Forecasting Models for the Energy Market

This thesis is divided into two parts, combining theoretical advancements in the field of mean field games (MFGs) with applied contributions to the modelling and forecasting of renewable energy systems. The first part, carried out in collaboration with Prof. Francesco Giuseppe Cordoni, focuses on the mathematical analysis of graphon mean field games (GMFGs), a generalisation of classical MFGs that allows for heterogeneous and structured interactions among agents. The study considers finite ...

Advanced Computer Vision for Smart Retail: From Anomaly Detection to Fine-grained Product Classification

The rapid evolution of smart retail environments has created a pressing need for advanced computer vision solutions capable of addressing critical operational challenges, particularly in automated anomaly detection, fine-grained product classification, and interactive product localization. Existing systems often struggle with the complexity and variability inherent in retail scenarios, including dynamic customer behaviors, subtle product differences, occlusions, and inconsistent lighting cond...

THE AI ACT: REGULATORY AND TECHNICAL CHALLENGES

There is little doubt that the AI Act will remain one of the most influential pieces of Artificial Intelligence legislation in the coming years. This is due both to its broad geographical and material scope and to the fact that it was developed slightly before the worldwide boost in regulatory efforts, thus rapidly becoming a reference point. Hence, my Thesis proposes to analyse the AI Act, its benefits and drawbacks in the level of protection of fundamental rights through the analysis of its...