Genome assembly and annotation of microalga C018.

The microalga is an important organism for algae-based biocommodity production of food, feed, and fuel, among other products. Using PacBio Revio, we sequenced, assembled, and annotated a 26.41 Mbp C018 genome.

Haemodynamic and hyperaemic effects of adenosine in patients with atrial fibrillation undergoing quantitative myocardial perfusion cardiovascular magnetic resonance.

Aims: Patients with atrial fibrillation (AF) are thought to have an attenuated response to adenosine during vasodilator stress testing. We sought to investigate the haemodynamic and hyperaemic effects of adenosine in patients with AF undergoing adenosine-stress cardiovascular magnetic resonance (CMR) assessment.

Methods And Results: We retrospectively examined 318 patients referred for clinical adenosine-stress CMR (AF = 158, sinus rhythm [SR] = 160).

Preclinical Evidence for a Drug-Drug Interaction Between Cannabinol and Melatonin.

The worldwide legalization of medicinal cannabis has led to an increased use of products made by commercial operators. These products often contain minor cannabinoids such as cannabinol (CBN) which are advertised to improve sleep. Products are also available in which CBN is combined with conventional therapies, with a common product containing both CBN and the widely used sleep-aid melatonin.

Letting go/ moving on: A scoping review of relational effects on transition to adult care.

Objective: The objective of this scoping review was to assess the extent of the literature on how relational components in pediatric care contribute to the transition process and transfer outcomes.

Background: Relationships between patients, parents and pediatric providers are a frequently cited barrier in transition to adult care. A scoping review aimed to identify studies focused on how the relationship between patients/parents and pediatric providers related to transition from pediatric to adult healthcare and explore the nature and depth of the evidence.

Accelerating antimicrobial peptide design: Leveraging deep learning for rapid discovery.

Antimicrobial peptides (AMPs) are excellent at fighting many different infections. This demonstrates how important it is to make new AMPs that are even better at eliminating infections. The fundamental transformation in a variety of scientific disciplines, which led to the emergence of machine learning techniques, has presented significant opportunities for the development of antimicrobial peptides.