Distribution of spine classes shows intra-neuronal dendritic heterogeneity in mouse cortex.

Significance: Neuronal dendritic spines are central elements for memory and learning. Their morphology correlates with synaptic strength and is a proxy for function. Classic light microscopy cannot resolve spine morphology well, and techniques with higher resolution (electron microscopy and super-resolution light microscopy) typically do not provide spine data in large fields of view, e.

Functional characterization of OR51B5 and OR1G1 in human lung epithelial cells as potential drug targets for non-type 2 lung diseases.

Background: Hypersensitivity to odorants like perfumes can induce or promote asthma with non-type 2 inflammation for which therapeutic options are limited. Cell death of primary bronchial epithelial cells (PBECs) and the release of the pro-inflammatory cytokines interleukin-6 (IL-6) and IL-8 are key in the pathogenesis. Extra-nasal olfactory receptors (ORs) can influence cellular processes involved in asthma.

A new experiment to enable rapid systematic investigations of flux trapping dynamics for superconducting radio-frequency cavity applications.

Many modern accelerators rely on superconducting radio-frequency (SRF) cavities to accelerate particles. When these cavities are cooled to the superconducting state, a fraction of the ambient magnetic field (e.g.

[Multi-resistant pathogens - are they also resistant to disinfectants?].

Epidemiological studies show that the care of patients in rooms with a previous stay by a person with evidence of multi-resistant pathogens (MRP) is associated with an increased risk of these pathogens occurring. The question therefore regularly arises as to whether MRP also exhibit resistance to the disinfectants used. To date, there are no standardised definitions for "resistance" to disinfectants.

Students' perception of the use of artificial intelligence (AI) in pharmacy school.

Introduction: The increasing adoption of artificial intelligence (AI) among college students, particularly in pharmacy education, raises ethical concerns and prompts debates on responsible usage. The promise of the potential to reduce workload is met with concerns of accuracy issues, algorithmic bias, and the lack of AI education and training. This study aims to understand pharmacy students' perspectives on the use of AI in pharmacy education.