Urothelial carcinoma, the predominant histological subtype of bladder
cancer (BLCA), is the most common malignancy of the urinary system.
According to GLOBOCAN 2022 estimates, this tumor affects approximately
600.000 people each year and leads to the death of about a third of patients
with advanced-stage tumors. The molecular and histological heterogeneity of
this tumor represents a hard challenge for developing targeted and effective
therapies. p63 is a transcription factor that plays ...
Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease characterized by the degeneration of upper and lower motor neurons, in which neuroinflammation and microglial activation play a central role. This study investigated the spatial and temporal dynamics of microglial activation in the SOD1G93A mouse model, focusing on the motor cortex, striatum, and spinal cord, and evaluated the effects of the metabolic modulator trimetazidine (TMZ). A robust and progressive microgli...
This research addresses the critical challenge of sustainable wastewater treatment and management within the automotive sector, championing the principles of the circular economy (CE), water reuse, and Zero Liquid Discharge (ZLD). Industrial activities consume approximately 22% of global water, with 80% of generated effluent being directly discharged into water bodies, posing significant environmental and health risks. The imperative for treating and reusing industrial wastewater is therefore...
Online social platforms are central arenas for contemporary public discourse. Yet, a growing body of research shows that the interplay between human cognitive biases and algorithmic mediation can foster concerning dynamics such as opinion polarization, radicalization, and the formation of echo chambers. These phenomena arise from the interaction patterns that determine who encounters whom (or what), and under what conditions. In this context, user mixing (i.e., how users with similar/differen...
La memoria episodica è definita come la capacità di rievocare eventi insieme ai loro dettagli contestuali e temporali. Sfruttando la
tendenza innata dei roditori a esplorare la novità in un ambiente familiare, il paradigma comportamentale Novel Object-Place-
Context Recognition Task (OPCRT) può essere utilizzato per valutare la memoria episodica nel topo. Il richiamo della memoria
OPC dipende principalmente dall’ippocampo e dalla corteccia entorinale laterale (LEC), nella quale sono stati ...
This thesis explores how Reinforcement Learning (RL), and in particular how deep neural network architectures can be used to learn optimal trading and optimal execution strategies in a complex environment, such as the financial market. Moreover, we show how these learning algorithms can shed light on how multiple financial agents interact when market impact is generated by their trading.
Therefore, the first result presented in this thesis, shows that Double Deep Q-Learning (DDQL) can succ...
La tesi indaga il rapporto tra variazione linguistica e differenze di genere nella storia dell’italiano tardo-medievale, attraverso
l’edizione e l’analisi linguistica di un corpus di scritture pratiche femminili laiche (1350-1450), confrontate con documenti maschili
coevi. Il corpus è costituito prevalentemente da lettere provenienti da tre nuclei documentari (Archivio Gonzaga, Archivio Datini e
carteggio Acciaioli) e comprende 102 testi femminili (tra autografi e delegati) e 40 maschili (...
Semiconductor quantum dots (QDs) have emerged over the past decade as a pivotal solid-state platform for on-demand quantum light sources, fundamental for a wide range of quantum technology applications. In particular, QDs emitting within the telecommunication bands (1.3 – 1.55 µm) are of great interest for quantum communication, as this wavelength range coincides with the low-loss window of standard optical fibers, essential for long-distance quantum signal transmission. Among the different m...
Machine learning (ML) has become increasingly important in sports performance analysis because of its ability to model complex relationships in high-dimensional biomechanical and contextual data. However, many high-performing models operate as black boxes, limiting their practical value in elite sport contexts where coaches, athletes, and sport scientists require interpretable and trustworthy insights. This thesis investigates the use of explainable machine learning for winter sports performa...