a data augmentation strategy to narrow the robustness gap between expert radiologists and deep learning classifiers.

Purpose: Successful performance of deep learning models for medical image analysis is highly dependent on the quality of the images being analysed. Factors like differences in imaging equipment and calibration, as well as patient-specific factors such as movements or biological variability (e.g.

The impact of implementing and sustaining the international guidelines for skin-to-skin contact in the first hour after birth in Uganda.

Skin-to-skin contact between the mother and baby during the first hour after birth has significant benefits for mother, newborn and breastfeeding. However, optimal implementation is highly variable. The 2023 International Guidelines on skin-to-skin contact in the first hour after birth place high confidence in the evidence that immediate, continuous, uninterrupted skin-to-skin contact should be routine for all mothers and all babies over 1000 g, regardless of mode of delivery.

- 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).

Love as a Commitment Device : Evidence from a Cross-Cultural Study across 90 Countries.

Given the ubiquitous nature of love, numerous theories have been proposed to explain its existence. One such theory refers to love as a commitment device, suggesting that romantic love evolved to foster commitment between partners and enhance their reproductive success. In the present study, we investigated this hypothesis using a large-scale sample of 86,310 individual responses collected across 90 countries.

The infected diabetic foot: Incidence and risk factors for dehiscence after surgery for diabetic foot infections.

Our objective was to assess the incidence, risk factors and clinical outcomes of dehiscence after foot surgery in diabetic patients. We used pooled patient-level data from two randomised clinical trials with 240 diabetic patients who required foot surgery for infections. Most patients (n = 180, 75.