Dialogue mechanisms between astrocytic and neuronal networks: A whole-brain modelling approach.

Astrocytes critically shape whole-brain structure and function by forming extensive gap junctional networks that intimately and actively interact with neurons. Despite their importance, existing computational models of whole-brain activity ignore the roles of astrocytes while primarily focusing on neurons. Addressing this oversight, we introduce a biophysical neural mass network model, designed to capture the dynamic interplay between astrocytes and neurons via glutamatergic and GABAergic transmission pathways.

Menstrual Disorders in Adolescence: Diagnostic and Therapeutic Challenges.

: Adolescence is the period of life between the ages of 10 and 19. This period is essentially dominated by puberty. The first menstruation, called menarche, occurs, on average, at the age of 12-13.

Contemporary Survival Selection Fails to Explain Observed Patterns of Phenotypic Divergence Between Suburban and Forest Populations of the Cuban Endemic Lizard, .

Although urbanization is a major threat to biodiversity, some native species have managed to persist in urban areas. Populations of such species often show phenotypic differences with their rural counterparts. A crucial question is whether such differences result from different selection regimes between habitats.

Cardiac findings in a phase II double-blind randomized placebo-controlled trial of combination therapy (HAZDPac) to treat COVID-19 patients.

Objective: Hydroxychloroquine paired with Azithromycin, Vitamin C, Vitamin D, and Zinc (HAZDPac), was used as a multidrug therapy method to treat COVID-19 illness and superimposed secondary bacterial pneumonia. Concerns have been raised though about such combinations regarding cardiac QTc interval prolongation and risks of arrhythmias, which we set out to address in this study.

Design: We evaluated cardiac safety in a Phase II Double-Blind Randomized Placebo-Controlled Trial of Combination Therapy to Treat COVID-19 Infections study, conducted by ProgenaBiome.

Multi-resolution X-ray micro-computed tomography images of carbonate rocks from brazilian pre-salt.

The recent surge in artificial intelligence (AI) advancements has been driven by the availability of open datasets for model development and evaluation. However, in the field of earth sciences, particularly in digital rock physics applications, open data remains scarce. To bridge this gap, we introduce a dataset comprising 16 rock samples from the Brazilian pre-salt region, available in both low resolution (48 μm - 64 μm) and high resolution (6 μm - 8 μm).