Analyzing the impact of socioeconomic indicators on gender inequality in Sri Lanka: A machine learning-based approach.

This study conducts a comprehensive analysis of gender inequality in Sri Lanka, focusing on the relationship between key socioeconomic factors and the Gender Inequality Index (GII) from 1990 to 2022. By applying machine learning techniques, including Decision Trees and Ensemble methods, the study investigates the influence of economic indicators such as GDP per capita, government expenditure, government revenue, and unemployment rates on gender disparities. The analysis reveals that higher GDP and government revenues are associated with reduced gender inequality, while greater unemployment rates exacerbate disparities.

VGLL-fusions define a new class of intraparenchymal CNS schwannoma.

Background: Intracerebral schwannomas are rare tumors resembling their peripheral nerve sheath counterparts but localized in the CNS. They are not classified as a separate tumor type in the 2021 WHO classification. This study aimed to compile and characterize these rare neoplasms morphologically and molecularly.

Experiences, attitudes, and knowledge of medical students regarding intellectual and developmental disability: a Canadian study.

Background: As the healthcare of individuals with intellectual and developmental disabilities (IDD) shifts toward community-based services, physicians in all areas of medicine are more likely to care for this population. To ensure that all physicians can provide high-quality care to people with IDD, further understanding and attention to undergraduate medical education related to IDD is needed.

Methods: A 24-item survey assessed the experiences, attitudes, knowledge, skills, and future interest of Canadian medical students regarding IDD.

Molecular, cellular, and developmental organization of the mouse vomeronasal organ at single cell resolution.

We have generated single cell transcriptomic atlases of vomeronasal organs (VNO) from juvenile and adult mice. Combined with spatial molecular imaging, we uncover a distinct, previously unidentified class of cells that express the vomeronasal receptors (VRs) and a population of canonical olfactory sensory neurons in the VNO. High-resolution trajectory and cluster analyses reveal the lineage relationship, spatial distribution of cell types, and a putative cascade of molecular events that specify the V1r, V2r, and OR lineages from a common stem cell population.

Feasibility and Safety of Endovascular Interventions via Percutaneous Access to the Axillary Artery.

Background: Endovascular treatment of peripheral arterial disease requires safe and reliable arterial access. This study evaluates the feasibility and safety of percutaneous axillary artery access for endovascular therapy. A variety of anatomic and logistic obstacles can be overcome with upper extremity access.