Estimating the impact of airport wildlife hazards management on realized wildlife strike risk.

Collisions between wildlife and aircraft, commonly referred to as wildlife strikes or bird strikes, are rare events that pose considerable safety and economic risks to the aviation industry. Given the potentially dramatic consequences of such events, airports scheduled for passenger service are required to conduct wildlife hazard assessments and implement wildlife hazard management plans for the purpose of mitigating wildlife strike risk. The evaluation of such management, however, is complicated by imperfect reporting that mediates the relationship between realized wildlife strike risk and wildlife strike metrics.

Global Genotype by Environment Prediction Competition Reveals That Diverse Modeling Strategies Can Deliver Satisfactory Maize Yield Estimates.

Predicting phenotypes from a combination of genetic and environmental factors is a grand challenge of modern biology. Slight improvements in this area have the potential to save lives, improve food and fuel security, permit better care of the planet, and create other positive outcomes. In 2022 and 2023 the first open-to-the-public Genomes to Fields (G2F) initiative Genotype by Environment (GxE) prediction competition was held using a large dataset including genomic variation, phenotype and weather measurements and field management notes, gathered by the project over nine years.

Aligning values with standards: a comparison of professional values in Continuing Education standards.

Continuing education (CE) aims to help health professionals fulfill their ethical responsibility of maintaining professional competence. This research compares the CE guidelines and standards of 11 health professional organizations in relation to five domains of evolving professional values: ethics, cultural diversity, social justice, interprofessionalism, and self-care. Results showed that ethics received the greatest attention across the CE standards, followed by interprofessionalism and cultural diversity.

Trait association and prediction through integrative k-mer analysis.

Genome-wide association study (GWAS) with single nucleotide polymorphisms (SNPs) has been widely used to explore genetic controls of phenotypic traits. Alternatively, GWAS can use counts of substrings of length k from longer sequencing reads, k-mers, as genotyping data. Using maize cob and kernel color traits, we demonstrated that k-mer GWAS can effectively identify associated k-mers.