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Titolo: Using a Neural Network approach and Starspots dependent models to predict Effective Temperatures and Ages of young stars   Abstract: This study presents a statistical approach to accurately predict the effective temper- atures of pre-main sequence stars, which are necessary for determining stellar ages using the isochrone methodology and cutting-age starspots-dependent models. By training a Neural Network model on high-quality spectroscopic

Speaker: Alberto Traina (INAF-OAS Bologna) Title: SMBHs growth in overdense environments: AGN enhancement in protoclusters with enormous Ly⍺ nebulae Abstract: SMBHs are almost ubiquitous in galaxies’ nuclei in the local and in the high-redshift Universe. However, the formation and growth processes that lead to such massive objects in relatively short timescales are still unclear. A crucial role in accelerating their evolution