Are more data always better? - Machine learning forecasting of algae based on long-term observations.

Bloom-forming algae present a unique challenge to water managers as they can significantly impair provision of important ecosystem services and cause health risks to humans and animals. Consequently, effective short-term algae forecasts are important as they provide early warnings and enable implementation of mitigation strategies. In this context, machine learning (ML) emerges as a promising forecasting tool.

The development of the Cough Hypersensitivity Questionnaire for chronic cough.

Introduction: Chronic cough is considered a disorder of neuronal hypersensitivity in which patients frequently report abnormal laryngeal and chest sensations, and excessive triggers. To facilitate clinical assessment, we developed the Cough Hypersensitivity Questionnaire (CHQ).

Methods: Candidate questionnaire items were developed following interviews with patients with refractory chronic cough (n=10, United Kingdom), and review by a multidisciplinary team.

Patient-reported assessments of chronic cough in clinical trials: accessory or primary endpoints?

Chronic cough is a complex disorder that affects up to 5-10% of the general population. It can be challenging to manage as there are few effective treatments, although several novel antitussives are in clinical development. The endpoints used to assess their efficacy in clinical trials should be optimal; most large clinical trials currently use objective measures as the primary outcome, especially cough frequency.

Multicenter study of factors associated with nonsurvival in hospitalized periparturient goats.

Background: Periparturient reproductive complications appear to be common in hospitalized goats. More information is needed about periparturient reproductive complications and survival in goats with these conditions.

Objective: Identify exposure factors associated with nonsurvival in periparturient does hospitalized ≤1 day or ≥2 days.

Using simulated bronchoscopy to improve training on intensive care units in a north London NHS trust.

Flexible bronchoscopy is a vital tool that is used for both diagnostic and therapeutic indications on the intensive care unit. During the COVID pandemic, training opportunities to perform such a skill were decreased and novel methods of teaching, including using bronchoscopy simulators, were explored out of necessity. The aim of this quality improvement project was to investigate how training on an intensive care unit prepared trainees for carrying out bronchoscopy, and whether a simulated bronchoscopy session with a high-fidelity simulator could be a useful adjunct to gain experience.