UNICA IRIS Institutional Research Information System

Integrated Chemometric and Machine Learning Analysis Identifies Peripheral Biosignatures Distinguishing Major Depressive Disorder from Bipolar Disorder: A Translational Cross-Sectional Study

Background and Objectives: Major Depressive Disorder (MDD) and Bipolar Disorder (BD) lack objective molecular stratification despite partial clinical overlap, particularly during depressive phases. This cross-sectional study explored whether coordinated peripheral biomarker patterns could be identified using an integrated multivariate analytical framework. Materials and Methods: A total of 151 participants (MDD n = 41; BD n = 40; HC (healthy controls) n = 70) were profiled for 42 blood-derive...

A novel approach for job matching and skill recommendation using transformers and the O*NET database

Today we have tons of information posted on the web every day regarding job supply and demand which has heavily affected the job market. The online enrolling process has thus become efficient for applicants as it allows them to present their resumes using the Internet and, as such, simultaneously to numerous organizations. Online systems such as Monster.com, OfferZen, and LinkedIn contain millions of job offers and resumes of potential candidates leaving to companies with the hard task to fac...

Addestramento di un modello di HTR in Transkribus per testi plurilingui di età moderna: il caso del Ripulimento della lingua sarda (Madau)

Il contributo illustra le metodologie adottate per l’addestramento, tramite la piattaforma Transkribus, di un modello sperimentale di Handwritten Text Recognition (HTR) applicato a un manoscritto plurilingue di età moderna, il Ripulimento della lingua sarda di Matteo Madau (XVIII secolo). Viene riportato l’intero flusso di lavoro: preparazione dati e analisi del layout del documento; creazione della Ground Truth, con particolare attenzione alla metodologia impiegata per garantire la coerenza ...

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