Detectable use of ENSO information on crop production in Southern Africa.

People have known that El Niño events are associated with low rainfall in Southern Africa for a century, and seasonal rainfall forecasts are now available in agricultural advisories for farmers. While there is abundant theory as to how farmers might (or should) use seasonal rainfall information on their farms, little is known about whether this information has been widely used or has had widespread benefit. In this study, we use subnational data on cropping area and yield to see if we can detect any macro-level patterns in agricultural choices or outcomes that are related to knowledge of the El Niño Southern Oscillation or seasonal forecast information in Southern Africa.

Impact of Sex on Outcomes With Femoral Artery Closure Devices Versus Manual Compression in Patients Undergoing Percutaneous Coronary Intervention.

Background And Aims: Femoral artery access is widely used despite recent increase in radial access for percutaneous coronary interventions (PCI). Femoral artery closure devices are used to shorten vascular closure time and reduce bleeding. We sought to examine sex-based outcomes of femoral artery vascular closure devices (VCD) in patients undergoing PCI.

Effect of L-alanine exposure during early life stage on olfactory development, growth and survival in age-0 lake sturgeon .

Environmental factors play an important role in phenotypic development of fishes, which has implications for hatchery-reared fishes that are released into the wild where natural cues are present. There is interest in examining how early exposure to dietary odourants can affect development of olfaction. The aim of our study was to use behavioural, molecular and electro-physiological techniques to evaluate how introduction of the amino acid L-alanine to the rearing environment might influence the development of olfactory perception of dietary cues, growth and survival in lake sturgeon (), a species of conservation concern.

Real-world evidence in the cloud: Tutorial on developing an end-to-end data and analytics pipeline using Amazon Web Services resources.

In the rapidly evolving landscape of healthcare and drug development, the ability to efficiently collect, process, and analyze large volumes of real-world data (RWD) is critical for advancing drug development. This article provides a blueprint for establishing an end-to-end data and analytics pipeline in a cloud-based environment. The pipeline presented here includes four major components, including data ingestion, transformation, visualization, and analytics, each supported by a suite of Amazon Web Services (AWS) tools.