Insights into the contribution of multiple factors on Ixodes ricinus abundance across Europe spanning 20 years using different machine learning algorithms.

The interplay of biotic and abiotic factors driving Ixodes ricinus abundance trends are not fully understood. Machine learning (ML) approaches are being increasingly used to explore this and predict future abundance patterns of this species, however, the studies focusing on this to date have had limitations (including short study duration, limited sample size, narrow geographical range and use of a single ML model). This study was undertaken to address these limitations by applying 11 predictive ML models (across three data clustering techniques) to a large I.

Acupuncture combined with an antidepressant for patients with depression in hospital: a pragmatic randomised controlled trial.

Objective: To assess the effectiveness of acupuncture combined with selective serotonin reuptake inhibitors (SSRIs) for patients with depression in hospital using a pragmatic randomised controlled trial.

Methods: 76 patients with depression were randomly divided into two groups (randomisation ratio 2:1 for treatment and control groups (CGs), respectively) and 71 patients completed the study. The 45 patients in the treatment group (TG) underwent acupuncture and received an SSRI and the 26 patients in the CG received an SSRI only.