Researchers led by Prof. Alessandro Serretti at Kore University of Enna have identified a genetic inflammatory signature that defines specific depression subtypes and influences how patients respond ...

Researchers led by Prof. Alessandro Serretti at Kore University of Enna have identified a genetic inflammatory ...

This study reports important findings about the nature of feedback to primary visual cortex (V1) during object recognition. The state-of-the-art functional MRI evidence for the main claims is solid, ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

Most proteins in blood are measured outside their functional and cellular context. Machine learning was used to integrate ...

This study presents a valuable in-depth comparison of statistical methods for the analysis of ecological time series data, and shows that different analyses can generate different conclusions, ...

Background Mixed connective tissue disease (MCTD) has long been debated as an early nonspecific phase/symptom of ...

Abstract: By leveraging neural networks, the emerging field of scientific machine learning (SciML) offers novel approaches to address complex problems governed by partial differential equations (PDEs) ...

Abstract: The imagery speech (IS) is the speech that the human beings are thinking in their brain. A brain computer interface (BCI) system is employed to translate the speech thinking in the brain to ...

ABSTRACT: This study evaluates the projected impacts of climate change on surface water availability in the Diaguiri River Basin, a sub-catchment of the Gambia River in West Africa, using the ...