https://www.nature.com/articles/s41592-019-0575-8
Published: 07 October 2019
Positive-unlabeled convolutional neural networks for particle picking in cryo-electron micrographs
Tristan Bepler, Andrew Morin, Micah Rapp, Julia Brasch, Lawrence Shapiro, Alex J. Noble & Bonnie Berger
Nature Methods (2019)
https://www.medicalnewstoday.com/articles/314886.php
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Coffee, tea, and soda contain caffeine, and this chemical aggravates acid reflux. Switching to decaffeinated versions of these drinks can help minimize the symptoms.
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https://en.wikipedia.org/wiki/Preformationism
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In the history of biology, preformationism (or preformism) is a formerly-popular theory that … Harvey famously asserted, for example, that ex ovo omnia—all animals come from eggs. Because of this assertion in particular, Harvey is often
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https://codeactsineducation.wordpress.com/2018/04/16/personalized-precision-education/
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The word ‘precision’ has become a synonym for the application of data to the analysis and treatment of a wide range of phenomena. ‘Precision medicine’ describes the use of detailed patient information to individualize treatment and prevention based on genes, environment and lifestyle, while ‘precision agriculture’ has become an entire field of R&D focused on ‘engineering technology, sensor systems, computational techniques, positioning systems and control systems for site-specific application’ in the farming sector.
….termed ‘precision electioneering.’ Data-driven precision is therefore both a source of scientific certainty and of controversy and contestation.
Emerging interests in ‘precision education’ foresee the concerted use of learner data for purposes of implementing individualized
educational practices and ‘targeted learning.’ As precision education has been described on the Blog on Learning and Development (BOLD): “}}
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The Lothian birth-cohort studies[1] are two ongoing cohort studies which primarily involve research into how childhood intelligence relates to intelligence and health in old age. The Lothian Birth Cohort studies of 1921 and 1936 have, respectively, followed up Lothian-based participants in the Scottish Mental Surveys of 1932 and 1947 in old age.[1] Scottish Mental Survey data has provided a measure of the intelligence of Lothian Birth Cohort participants at age 11, which has enabled the investigation of how childhood intelligence relates to cognition, mental health and physical health in old age.[1]
Major cognitive ageing findings of the studies have concerned the stability of intelligence from childhood to old age,[2] the influence of genetics on cognitive function and decline,[3] and the role of the brain’s white matter integrity in successful cognitive ageing.[4] The studies have also been at the vanguard of the field of cognitive epidemiology,[5] which explores how intelligence relates to physical and mental health outcomes. The Lothian Birth Cohort studies are led by Ian Deary, the director of the Centre for Cognitive Ageing and Cognitive Epidemiology at the University of Edinburgh.
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Lothian birth-cohort studies – Wikipedia
https://en.wikipedia.org/wiki/Lothian_birth-cohort_studies
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4269490/
Perit Dial Int. 2014 Nov-Dec; 34(7): 685–686.
doi: 10.3747/pdi.2014.00272
PMCID: PMC4269490
PMID: 25520478
Olivier Devuyst, Deputy Editor
