IRISanRaf

Rethinking Agri‐Food Sustainability: A Systematic Bibliometric Literature Review of Circular Economy Approaches to Climate Change Challenges

Who Controls the Buttons? Algomorphic Society, Technocracy, and Italian Politics

The integration of artificial intelligence and predictive algorithms into political processes marks a profound transformation of governance and democracy. In Italy, the adoption of digital tools by political parties and institutions – such as the Rousseau platform of the Movimento 5 Stelle and La Bestia of Lega – demonstrates how politics is increasingly shaped by algorithmic optimization logics, reducing the space for traditional democratic deliberation. This study examines how AI’s role in ...

MIENTURNET: An interactive web tool for microRNA-target enrichment and network-based analysis

Background: miRNAs regulate the expression of several genes with one miRNA able to target multiple genes and with one gene able to be simultaneously targeted by more than one miRNA. Therefore, it has become indispensable to shorten the long list of miRNA-target interactions to put in the spotlight in order to gain insight into understanding the regulatory mechanism orchestrated by miRNAs in various cellular processes. A reasonable solution is certainly to prioritize miRNA-target interactions ...

Enriched resting-state EEG prediction of cognitive decline in prodromal Alzheimer's disease: a machine-learning approach

Objective: We evaluated the accuracy of standard machine learning (ML) algorithms in predicting 1-year cognitive decline in Alzheimer's disease patients with mild cognitive impairment (ADMCI) using resting-state electroencephalographic (rsEEG) biomarkers enriched with APOE genotype, sex, age, and educational attainment data. Methods: The study analyzed datasets from 63 ADMCI patients obtained from an international archive. The ML algorithms included Simple Logistic Regression, Model Trees, Lo...