CINECA IRIS Institutional Research Information System

Polymeric conductive nanocomposite materials for integrated metal-free cabling and sensing

doctoral thesis examines polymeric conductive nanocomposites for metal-free electrical cabling and sensing. By adding carbon-based fillers like graphene nanoplatelets, graphene oxide, reduced graphene oxide, and carbon black to thermoplastic polymers, this research aims to create lightweight, sustainable, and multifunctional materials. Moreover, an intensive study concerning a bio-based filler, such as lignin, used as a graphene precursor and dispersed within a biodegradable matrix, such as p...

Deep Learning for Spatio-Temporal Environmental Phenomena and Application to Underground Water Resources

Next Generation Sequencing for the Detection of Adventitious Contaminants in Biotechnological Products

Adventitious biological contaminants may be unintentionally introduced during biomanufacturing of pharmaceutical products via cell banks, raw materials, or the environment. To ensure the biotechnological product safety and preserve patients’ health, different tests must be performed, as required by health authorities. The aim of my PhD project was to develop methods to rapidly detect different types of biological contaminants, utilizing next-generation sequencing (NGS) technologies for broad-...

UNDERSTANDING CLINICAL HETEREOGENEITY IN ANOREXIA NERVOSA: SOCIOEMOTIONAL PROCESSES, MOTIVATION, TREATMENT TRAJECTORIES

State of the art and purpose: Anorexia Nervosa (AN) is a severe psychiatric disorder with often unsatisfactory treatment outcomes. Understanding the factors underlying heterogeneity in clinical presentation and treatment response is essential for improving personalized care. This thesis applied up-to-date statistical methods to areas identified as relevant in AN: socioemotional processes (study 1), motivation to change (study 2), and in-treatment symptoms trajectories (study 3). Methods: S...