Behavioral Profiling in Zebrafish Identifies Insecticide-Related Compounds.

Pesticides, including insecticides, are indispensable for large-scale agriculture. Modulating chloride ion channels has proven highly successful as a mode of action (MoA) for insect management. Identifying new ligands for these channels affords opportunities for the potential development of new insecticide products.

A split-GAL4 driver line resource for neuron types.

Techniques that enable precise manipulations of subsets of neurons in the fly central nervous system (CNS) have greatly facilitated our understanding of the neural basis of behavior. Split-GAL4 driver lines allow specific targeting of cell types in and other species. We describe here a collection of 3060 lines targeting a range of cell types in the adult CNS and 1373 lines characterized in third-instar larvae.

Nitrogen fixation may not alleviate stoichiometric imbalances that limit primary production in eutrophic lake ecosystems.

Ecosystem-scale primary production may be proximately limited by nitrogen (N) but ultimately limited by phosphorus (P) because N fixation contributes new N that accumulates relative to P at ecosystem scales. However, the duration needed to transition between proximate N limitation and ultimate P limitation remains unknown for most ecosystems, including lakes. Here we present the results of a fully replicated, multi-annual lake mesocosm experiment that permitted full air-water-sediment interactions that mimicked lake ecosystem ecology.

Predicting 90-day return to the emergency department in orthopaedic trauma patients in the Southeastern USA: a machine-learning approach.

Introduction: Return-to-acute-care metrics, such as early emergency department (ED) visits, are key indicators of healthcare quality, with ED returns following surgery often considered avoidable and costly events. Proactively identifying patients at high risk of ED return can support quality improvement efforts, allowing interventions to target vulnerable patients. With its predictive capabilities, machine learning (ML) has shown potential in forecasting various clinical outcomes but remains underutilised in orthopaedic trauma.

Exploring the experiences of children's palliative care for forced migrant families in the United Kingdom: an interpretative phenomenological study.

Introduction: This study focused on understanding the experiences of forced migrant families and the health care professionals who care for them within palliative care. Palliative care for children requires an active, holistic approach to care, with a focus upon improving quality of life. Forced migrant families encounter a range of additional challenges including the loss of family, belongings, and all sources of familiarity and support.