Epilepsy is now considered a network disease that affects the brain across multiple levels of
spatial and temporal scales. The paradigm shift from an epileptic focus—a discrete cortical …

Renewable energy has demonstrated a significantly greater increase in its share of total
energy consumption than carbon emissions in recent decades. This rise in renewable …

Link prediction algorithms are indispensable tools in many scientific applications by
speeding up network data collection and imputing missing connections. However, in many …

Background Accurately diagnosing patients with the vegetative state (VS) and the minimally
conscious state (MCS) reached a misdiagnosis of approximately 40%. Methods A method …

Matrix-assisted laser desorption/ionization time-of-flight-time-of-flight (MALDI-TOF-TOF)
tandem mass spectrometry (MS/MS) is a rapid technique for identifying intact proteins from …

Continuous electroencephalogram (cEEG) plays a crucial role in monitoring and
postoperative evaluation of critical patients with extensive EEG abnormalities. Recently, the …

We consider an ensemble of drones moving in a two-dimensional domain, each one of them
carrying a communication device, and we investigate the problem of information transfer in …

Brain dynamics can be modeled as a temporal brain network starting from the activity of
different brain regions in functional magnetic resonance imaging (fMRI) signals. When …

The brain is immensely complex, with diverse components and dynamic interactions
building upon one another to orchestrate a wide range of functions and behaviors …

Background: Psychosis spectrum disorders (PSDs) are marked by cognitive impairments,
the neurobiological correlates of which remain poorly understood. Here, we investigate the …