Archaeometric studies of Tang-style pottery figurines for authentication purposes

Tang ceramic burial figurines (618-907 CE) represent one of the most significant expressions of ancient Chinese cultural heritage. Produced mainly in northern Chinese kiln centres, these statuettes were frequently decorated with lead-based sancai glazes and fired using a two-stage process. Since the late nineteenth century, large numbers of Tang-style figurines have circulated in the art market, often with limited or unreliable provenance documentation. Their circulation, together with the wi...

Atene e gli Altri. Per una storia diplomatica ateniese tra il 395 e il 371 a.C.

Fair Associative Co-Clustering

Co-clustering is a powerful data mining technique designed to extract summary information from data matrices by simultaneously grouping rows and columns. By exploiting latent relationships between objects and their attributes, co-clustering provides a compact representation of the data, identifying coherent groups of similar instances and their interactions with clusters of correlated features. This approach has demonstrated effectiveness across a wide range of real-world applications, includ...

Biochemical characterization of plants cytochromes P450 families CYP73 and CYP74 and study on their interaction with fungicides used in agriculture

Coherent vector meson photoproduction and azimuthal anisotropy studies in ion collisions at the LHC

At CERN’s Large Hadron Collider (LHC), ultra-relativistic ions generate electromagnetic fields that act as intense sources of quasi-real photons. When two ions pass each other at an impact parameter larger than the sum of their radii, hadronic interactions are strongly suppressed and ultra-peripheral collisions (UPCs) occur. UPCs provide a clean environment for studying photoninduced reactions and nuclear structure. In particular, coherent vector meson photoproduction is sensitive to the gluo...

OBJECTIVE OUTCOME MEASURES FOR ACCURATE CHARACTERIZATION AND NOVEL THERAPEUTIC STRATEGIES IN PARKINSON'S DISEASE

The Shape of Progression: Patterns and Principles in Computational Oncology

This thesis presents a dual approach to computational oncology, bridging data-driven inference of clinical observations with principle-based simulation of biological mechanisms. The work is structured as a methodological portfolio, exploring how different computational frameworks can be utilized to interpret the evolutionary complexity of cancer across varying scales and data types. The first part of this thesis addresses the challenge of interpreting longitudinal biomarkers in clinical pract...

Multidimensional approach to neuromuscular disorders: integrating functional assessments, neurocognition, and circulating biomarkers to interpret disease trajectories in a subgroup of complex disorders

Innovative industrial application of food metabolomics and food volatilomics for high quality peanuts

This doctoral thesis addresses the innovative industrial application of food metabolomics and volatilomics for the assessment and definition of “high quality” peanuts, with the objective of bridging advanced analytical chemistry and practical quality control strategies. The research responds to the need for objective, reliable, and transferable quality markers capable of supporting decision-making along the food production chain, where conventional approaches often fail to capture the complex...