An overview of radiography research and publication productivity in Denmark.

Objectives: This paper presents the progress of publications with Danish radiographers in scientific journals. The objective was to gain an overview of research in radiography in Denmark by exploring how publications with radiographer involvement have evolved over time in Denmark. We conducted a literature search on February 20th 2024 to identify papers authored or co-authored by Danish radiographers over the past thirteen years.

Inferring demographic and selective histories from population genomic data using a two-step approach in species with coding-sparse genomes: an application to human data.

The demographic history of a population, and the distribution of fitness effects (DFE) of newly arising mutations in functional genomic regions, are fundamental factors dictating both genetic variation and evolutionary trajectories. Although both demographic and DFE inference has been performed extensively in humans, these approaches have generally either been limited to simple demographic models involving a single population, or, where a complex population history has been inferred, without accounting for the potentially confounding effects of selection at linked sites. Taking advantage of the coding-sparse nature of the genome, we propose a 2-step approach in which coalescent simulations are first used to infer a complex multi-population demographic model, utilizing large non-functional regions that are likely free from the effects of background selection.

Differences in Combustible Cigarette Smoking-Related Biomarkers by Hormonal Contraceptive Use: An Exploratory Study.

Introduction: Hormonal contraceptives (HCs), which contain synthetic forms of estrogen (i.e., ethinyl estradiol) and/or progesterone (i.

A tunable affinity fusion tag for protein self-assembly.

The concentrations of individual proteins vary between cells, both developmentally and stochastically. The functional consequences of this variation remain largely unexplored due to limited experimental tools to manipulate the relationship of protein concentration to activity. Here, we introduce a genetically encoded tool based on a tunable amyloid that enables precise control of protein concentration thresholds in cells.