Complicacy Guided Parameter Space Sampling for Simulation Ensemble Generation in Dynamic Contexts, and for Knowledge Discovery with Limited Simulation Budgets

Many industrial and scientific tasks entail recovery of an unknown function through an ensemble of experiments, each corresponding to a different scenario. This task can generally be abstracted as the task of evaluating an expensive, deterministic black-box function over combinatorial parameter spaces that are much larger than the available evaluation budget – the sampling capacity becoming exponentially sparser as dimensionality grows. In many applications, however, the oracle is stochastic:...

Pragmatic and cognitive abilities in atypical development: Assessment and analysis of different expressive means

Detection and Integration of the Big Five Personality Traits for the Development of User-Centered Systems

Affecting how people behave in everyday life, personality has been demonstrated to correlate with user preferences and search habits in several contexts. For this reason, personality constructs find compelling applications in information systems, where they can be used to develop user-centered approaches. However, the modeling and integration of personality into adaptive tools are still in their early stages. This thesis explores the adoption of the Big Five personality traits (OCEAN traits) ...

Exception Handling for Robust Multi-Agent Systems

Patrullaje fenotípico en Buenos Aires: Imaginarios raciales y trayectorias delictivas en el paso del siglo XIX al XX. Una etnografía de archivos

I bias algoritmici nei rapporti di lavoro tra diritto antidiscriminatorio e altri strumenti di tutela

La ricerca ha ad oggetto il fenomeno del bias algoritmico nei processi di selezione del personale e nella gestione dei rapporti di lavoro. Nel primo capitolo vengono poste le premesse teoriche, che attingono principalmente ai Science and Technology Studies, fornendo una lettura del bias algoritmico come prodotto dell’interazione tra pratiche tecniche, sociali ed epistemiche. La lettura della co-produzione tecnica e sociale del bias algoritmico evidenzia la necessità di evitare un approccio te...

The biological effects of “green-therapy” on depressed patients

Major depressive and bipolar disorders are prevalent mental health conditions sharing the presence of major depressive episodes (MDEs). While psychopharmacological and psychological therapies are first-line treatments for MDEs, the response is often incomplete. New approaches focused on the human-nature relationship might complement antidepressant treatments, improving response. This PhD thesis aims to assess the feasibility of implementing regular exposure to green environments such as woods...

Intestinal Microbiota and Multiple Sclerosis: towards new therapeutic approaches

Multiple sclerosis (MS) is a disease of the central nervous system characterized by chronic inflammation and immune-driven demyelination. To date, the etiopathogenesis of the disease remains unclear, although it is believed that a combination of genetic and environmental factors contributes to its onset. Among the environmental factors, growing evidence highlights the role of the gut microbiota in both the onset and progression of the disease. Indeed, the gut microbiota constitutes a complex ...

Application of circulating-miRNAs expression profiles in an endangered Piedmontese sheep breed during the oestrous cycle

The conservation of local and endangered livestock breeds is crucial to maintaining biodiversity and ecosystem services, while ensuring their resilience and adaptability to harsh environments. Within this framework, understanding the molecular mechanisms underlying reproduction and stress adaptation becomes essential for improving welfare and management strategies. MicroRNAs (miRNAs) are small, non-coding RNA molecules that regulate gene expression at the post-transcriptional level. When rele...