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.

Semi-Synthesis of Dimeric Cannabidiol Derivatives and Evaluation of their Affinity at Neurological Targets.

Cannabidiol (CBD) is a natural product associated with a wide range of biological and therapeutic activities. Despite the widespread cultural acceptance of CBD as a medicinal agent, much remains to be determined regarding its precise mechanism(s) of action in treating multiple conditions. CBD has been shown to promiscuously interact with several neurological targets with varying affinities.

A qualitative exploration of stakeholder perspectives of independent prescribing by newly qualified pharmacists: a theoretical domains interview study.

Objectives: To explore the perspectives of stakeholders on the General Pharmaceutical Council's revised Standards for the Initial Education and Training of Pharmacists that enable pharmacists to prescribe at the point of registration, from 2026.

Methods: This qualitative study used the Theoretical Domains Framework (TDF) to develop schedules for structured interviews that were conducted with various stakeholders and recorded via Microsoft Teams. Recordings were transcribed verbatim, checked for accuracy, and then analysed using the Framework approach, facilitated by NVIVO® software.

Chemical disruption of ABA signaling overcomes high-temperature inhibition of seed germination and enhances seed priming responses.

Seed germination is critical to agricultural productivity because low germination rates and/or asynchronous germination negatively affect stand establishment and subsequent yields. Exposure to high temperatures during seed imbibition can decrease both germination synchrony and rates through an ABA-mediated process called thermoinhibition. Methods to reduce thermoinhibition would be agriculturally valuable, particularly with increasing global mean temperatures.