Depression, higher level of tension induction, and impaired coping strategies in response to stress in women with PCOS correlate with clinical and laboratory indices of hyperandrogenism and not with central obesity and insulin resistance.

Unlabelled: PCOS is characterized by ovarian hyperandrogenism and insulin resistance (IR), which give rise to symptoms of hyperandrogenism and central obesity, which in turn may cause depression, lower self-esteem, and deteriorate coping strategies in stressful situations.

The Purpose: to examine the mental condition, self-esteem, and ways of coping with stress in women with PCOS compared to age and BMI-matched healthy controls and to correlate them with clinical and laboratory hyperandrogenism, central obesity, and IR.

Methods: 42 women with PCOS and 39 controls were assessed for the above-mentioned psychological measures and correlated with serum hormonal and metabolic parameters.

Ochre-based compound adhesives at the Mousterian type-site document complex cognition and high investment.

Ancient adhesives used in multicomponent tools may be among our best material evidences of cultural evolution and cognitive processes in early humans. African is known to have made compound adhesives from naturally sticky substances and ochre, a technical behavior proposed to mark the advent of elaborate cognitive processes in our species. Foragers of the European Middle Paleolithic also used glues, but evidence of ochre-based compound adhesives is unknown.

A 36,200-year-old carving from Grotte des Gorges, Amange, Jura, France.

The earliest European carvings, made of mammoth ivory, depict animals, humans, and anthropomorphs. They are found at Early Aurignacian sites of the Swabian Jura in Germany. Despite the wide geographical spread of the Aurignacian across Europe, these carvings have no contemporaneous counterparts.

Novel Graph Topology Learning for Spatio-Temporal Analysis of COVID-19 Spread.

This article presents a new graph-learning technique to accurately infer the graph structure of COVID-19 data, helping to reveal the correlation of pandemic dynamics among different countries and identify influential countries for pandemic response analysis. The new technique estimates the graph Laplacian of the COVID-19 data by first deriving analytically its precise eigenvectors, also known as graph Fourier transform (GFT) basis. Given the eigenvectors, the eigenvalues of the graph Laplacian are readily estimated using convex optimization.