Effect of short and long-term cadmium exposure on behaviour and cardiac function in Drosophila.

Cadmium is a non-essential heavy metal and environmental pollutant that causes a range of pathologies across different species. In humans, cadmium exposure has recently been directly linked to heart disease. Understanding how long-term cadmium exposure affects cardiac physiology is therefore important.

Leveraging large-scale Mycobacterium tuberculosis whole genome sequence data to characterise drug-resistant mutations using machine learning and statistical approaches.

Tuberculosis disease (TB), caused by Mycobacterium tuberculosis (Mtb), is a major global public health problem, resulting in > 1 million deaths each year. Drug resistance (DR), including the multi-drug form (MDR-TB), is challenging control of the disease. Whilst many DR mutations in the Mtb genome are known, analysis of large datasets generated using whole genome sequencing (WGS) platforms can reveal new variants through the assessment of genotype-phenotype associations.

Impact of discontinuing disease-modifying therapies on health care utilization among midlife patients with multiple sclerosis in the United States.

Background: Multiple sclerosis (MS) is a lifelong progressive neurological disease treated primarily with disease-modifying therapies (DMTs). Disease activity tends to decline as patients age. Midlife represents a crossroads where the risks of DMT may outweigh the benefits, prompting providers to consider DMT discontinuation to reduce treatment burden.

Initiation and Persistence of Antipsychotic Medications at Hospital Discharge Among Community-Dwelling Veterans With Dementia.

Objectives: Adults with dementia are frequently prescribed antipsychotic medications despite concerns that risks outweigh benefits. Understanding conditions where antipsychotics are initially prescribed, such as hospitalization, may offer insights into reducing inappropriate use.

Design, Setting, Participants: Retrospective cohort study of community-dwelling veterans with dementia aged ≥68 with VA hospitalizations in 2014, using Veterans Health Administration (VA) and Medicare data.

Prospects for rank-reduced CCSD(T) in the context of high-accuracy thermochemistry.

Obtaining sub-chemical accuracy (1 kJ mol-1) for reaction energies of medium-sized gas-phase molecules is a longstanding challenge in the field of thermochemical modeling. The perturbative triples correction to coupled-cluster single double triple [CCSD(T)] constitutes an important component of all high-accuracy composite model chemistries that obtain this accuracy but can be a roadblock in the calculation of medium to large systems due to its O(N7) scaling, particularly in HEAT-like model chemistries that eschew separation of core and valence correlation. This study extends the work of Lesiuk [J.