The neurosociological paradigm of the metaverse.

Metaverse integrates people into the virtual world, and challenges depend on advances in human, technological, and procedural dimensions. Until now, solutions to these challenges have not involved extensive neurosociological research. The study explores the pioneering neurosociological paradigm in metaverse, emphasizing its potential to revolutionize our understanding of social interactions through advanced methodologies such as hyperscanning and interbrain synchrony.

[Biomarkers of atherothrombotic and cardioembolic subtypes of acute ischemic stroke].

Objective: To evaluate the concentrations of CC-chemokines and stable metabolites of nitric oxide (NO) and endothelin-1 (ET-1) in patients with atherothrombotic (AT) and cardioembolic (CE) subtypes of ischemic stroke (IS) in the acute period.

Material And Methods: Sixty patients diagnosed with IS in the carotid basin were examined. Group 1 included 30 patients with AT, group 2 - 30 patients with CE subtype of IS.

Optimal Setup and Parameters of Diffusion-Weighted Magnetic Resonance Imaging for Translational Evaluation of a Tumor Progression Model for Soft Tissue Sarcomas.

Purpose: Defining a microscopic tumor infiltration boundary is critical to the success of radiation therapy. Currently, radiation oncologists use margins to geometrically expand the visible tumor for radiation treatment planning in soft tissue sarcomas (STS). Image-based models of tumor progression would be critical to personalize the treatment radiation field to the pattern of sarcoma spread.

- a large-scale dataset of 3D medical shapes for computer vision.

Objectives: The shape is commonly used to describe the objects. State-of-the-art algorithms in medical imaging are predominantly diverging from computer vision, where voxel grids, meshes, point clouds, and implicit surface models are used. This is seen from the growing popularity of ShapeNet (51,300 models) and Princeton ModelNet (127,915 models).