Pollination Across the Diel Cycle: A Global Meta-Analysis.

The daily transition between day and night, known as the diel cycle, is characterised by significant shifts in environmental conditions and biological activity, both of which can affect crucial ecosystem functions like pollination. Despite over six decades of research into whether pollination varies between day and night, consensus remains elusive. We compiled the evidence of diel pollination from 135 studies with pollinator exclusion experiments involving 139 angiosperms.

Adherence to introduction of iron-rich solid foods recommendations for infants: an analysis of Canadian Community Health Survey data using cycles 2015-2018.

Background: Globally, guidelines on the introduction of solid foods to a breastfed infant's diet emphasize the importance of iron-rich foods.

Objective: The objective of this study is to report on adherence to Nutrition for Healthy Term Infants (NHTI) guidance on introduction of iron-rich solid foods first in infants living in Canada; and to explore factors associated with adherence using disaggregated data.

Methods: Nationally representative cross-sectional data from the Canadian Community Health Survey annual cycles 2015-2018 from biological mothers delivering an infant in the past 5 years were used (n=7253).

Outcomes of permanent pacemakers and implantable cardioverter-defibrillators in an adult congenital heart disease population.

Background: Brady- and tachyarrhythmias commonly complicate adult congenital heart disease (ACHD). Permanent pacemakers (PPMs) or implantable cardioverter-defibrillators (ICDs) are often utilised to prevent morbidity or mortality related to arrhythmia, but can also be associated with significant morbidity themselves.

Methods: We analysed outcomes from patients in our comprehensive ACHD database who were seen at least twice since 2000 and once since 2018.

Improved complexity stratification in congenital heart disease; the impact of including procedural data on accuracy and reliability.

Background: In order to manage a class of diseases as broad as congenital heart disease (CHD), multiple "manually generated" classification systems defining CHDs as mild, moderate and severe have been developed and used to good effect. As databases have grown, however, such "manual" complexity scoring has become infeasible. Though past attempts have been made to determine CHD complexity algorithmically using a list of diagnoses alone, missing data and lack of procedural information have been significant limitations.