The Institute of Archaeology & Siegfried H. Horn Museum Newsletter Volume 36.2

The 2015 Excavations at Tall Jalul, Paul Gregor, Constance Gane, and Helena Gregor Silva Lecture, Justin Singleton Al-Maktába: The Bookstore Random Surveyhttps://digitalcommons.andrews.edu/iaham-news/1062/thumbnail.jp

Identifying risk of poor physical and mental health recovery following a road traffic crash: an industry-specific screening tool

This study aimed to develop an industry-specific tool to identify risk of poor physical and mental recovery following minor to moderate injuries sustained in a road traffic crash (RTC). Existing tools are often designed for implementation by health professionals rather than insurer case managers who may not have a background in health. This study is a secondary analysis of a longitudinal cohort study using data collected at 2–6 months and 24 months post-RTC. Participants were claimants (n = 254; Mean age = 50 years; 65% female) with mild-moderate injuries recruited through the common-law ‘fault-based’ compulsory third party scheme in Queensland, Australia. Sociodemographic, functional and psychological health factors were collected at baseline (2–6 months post RTC) and used as potential predictors for physical and mental health-related quality of life (Short Form 36 v2) at the 2-year follow-up. The LASSO (Least Absolute Shrinkage and Selection Operator) analysis identified six disability items (from the World Health Organization Disability Assessment Schedule 2) to predict poor physical and one item to predict poor mental health-related quality of life. Logistic regressions of these items in addition to age and gender were used to develop a screening tool. Using the tool, 90% of those at risk of poor physical and 80% of those at risk of poor mental health-related quality of life were identified correctly. To conclude, this study presents an 8-item, context-specific tool to help injury managers identify individuals at risk of poor physical and mental health recovery following mild-moderate RTC-related injuries. The tool requires validation in a new cohort and confirmation of acceptability by end-users

Gains and losses of metabolic function inferred from a phylotranscriptomic analysis of algae

10.1038/s41598-019-46869-3SCIENTIFIC REPORTS9

Evolution of genes and genomes on the Drosophila phylogeny

Comparative analysis of multiple genomes in a phylogenetic framework dramatically improves the precision and sensitivity of evolutionary inference, producing more robust results than single-genome analyses can provide. The genomes of 12 Drosophila species, ten of which are presented here for the first time (sechellia, simulans, yakuba, erecta, ananassae, persimilis, willistoni, mojavensis, virilis and grimshawi), illustrate how rates and patterns of sequence divergence across taxa can illuminate evolutionary processes on a genomic scale. These genome sequences augment the formidable genetic tools that have made Drosophila melanogaster a pre-eminent model for animal genetics, and will further catalyse fundamental research on mechanisms of development, cell biology, genetics, disease, neurobiology, behaviour, physiology and evolution. Despite remarkable similarities among these Drosophila species, we identified many putatively non-neutral changes in protein-coding genes, non-coding RNA genes, and cis-regulatory regions. These may prove to underlie differences in the ecology and behaviour of these diverse species