Deep learning-integrated MRI brain tumor analysis: feature extraction, segmentation, and Survival Prediction using Replicator and volumetric networks.

The most prevalent form of malignant tumors that originate in the brain are known as gliomas. In order to diagnose, treat, and identify risk factors, it is crucial to have precise and resilient segmentation of the tumors, along with an estimation of the patients' overall survival rate. Therefore, we have introduced a deep learning approach that employs a combination of MRI scans to accurately segment brain tumors and predict survival in patients with gliomas.

Numerical format and public perception of foreign immigration growth rates.

The study aimed to explore whether the 1-in-X bias is also present in relation to immigration growth rates. We tested this research question on a representative sample of adult residents in Trento, Italy, between March and April 2019. Participants were presented with data comparing the foreign immigrant-to-resident population ratio in Italy for 2001 (1 in 40) and 2011 (1 in 15), using two distinct formats-1-in-X and percentages.

The polarizing impact of numeracy, economic literacy, and science literacy on the perception of immigration.

Immigrants might be perceived as a threat to a country's jobs, security, and cultural identity. In this study, we aimed to test whether individuals with higher numerical, scientific, and economic literacy were more polarized in their perception of immigration, depending on their cultural worldview orientation. We measured these variables in a representative sample of citizens in a medium-sized city in northern Italy.

Modelling and predicting the spatio-temporal spread of cOVID-19 in Italy.

Background: The Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) was first detected in China at the end of 2019 and it has since spread in few months all over the World. Italy was one of the first Western countries who faced the health emergency and is one of the countries most severely affected by the pandemic. The diffusion of Coronavirus disease 2019 (COVID-19) in Italy has followed a peculiar spatial pattern, however the attention of the scientific community has so far focussed almost exclusively on the prediction of the evolution of the disease over time.

Assessing the effect of containment measures on the spatio-temporal dynamic of COVID-19 in Italy.

This paper aims at investigating empirically whether and to what extent the containment measures adopted in Italy had an impact in reducing the diffusion of the COVID-19 disease across provinces. For this purpose, we extend the multivariate time-series model for infection counts proposed in Paul and Held (Stat Med 30(10):118-1136, 2011) by augmenting the model specification with B-spline regressors in order to account for complex nonlinear spatio-temporal dynamics in the propagation of the disease. The results of the model estimated on the time series of the number of infections for the Italian provinces show that the containment measures, despite being globally effective in reducing both the spread of contagion and its self-sustaining dynamics, have had nonlinear impacts across provinces.

EEG findings in cooled asphyxiated newborns and correlation with site and severity of brain damage.

Objective: EEG and MRI are useful tools to evaluate the severity of brain damage and to provide prognostic indications in asphyxiated neonates. Aim of our study is to analyze the relationship between serial neonatal EEGs and severity and sites of brain lesions on MRI in neonates undergoing hypothermia, following a hypoxic-ischemic injury.

Patients And Methods: Forty-eight term newborns underwent hypothermia.

Poor repertoire General Movements predict some aspects of development outcome at 2 years in very preterm infants.

Background: Observation of the quality of endogenously generated "General Movements" has been proved to be a reliable and sensitive tool in the assessment of fragile neonates. The absence of fidgety movements at 2-4 months post-term is highly predictive of Cerebral Palsy. On the contrary, the presence of a poor repertoire pattern during the writhing period is not reliable in predicting motor or neurobehavioral disorders at any stage of development.