https://www.nature.com/articles/nature22332
Letter | Published: 17 May 2017
Locally noisy autonomous agents improve global human coordination in network experiments
Hirokazu Shirado & Nicholas A. Christakis
Nature volume 545, pages370–374 (18 May 2017)
https://www.cmaj.ca/content/188/8/567
Argues surgical masks are often as effective as N95s
https://genome.cshlp.org/content/9/7/629.full
Alu implicated in duplication related to 3-color vision
https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1000095
reawakened pseudogenes useful against HIV
QT:{{”
A stronger, cooler wood
One good way to reduce the amount of cooling a building needs is to make sure it reflects away infrared radiation. Passive radiative cooling materials are engineered to do this extremely well. Li et al. engineered a wood through delignification and re-pressing to create a mechanically strong material that also cools passively. They modeled the cooling savings of their wood for 16 different U.S. cities, which suggested savings between 20 and 50%. Cooling wood would be of particular value in hot and dry climates.
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interesting material for anti-insulation
https://science.sciencemag.org/content/364/6442/760.full
https://science.sciencemag.org/content/364/6442/760.editor-summary
https://science.sciencemag.org/content/366/6464/447.full
data access issues
There’s a paper on this topic that introduced the idea of “kind and wicked learning environments”:
https://pdfs.semanticscholar.org/5c5d/33b858eaf38f6a14b3f042202f1f44e04326.pdf
…in wicked environments it is difficult to do inference based on data. One solution seems to be to break down the problem in such a way that you can observe sub-problems in a kind environment.
The Two Settings of Kind and Wicked Learning Environments
Robin M. Hogarth1, Tomás Lejarraga2, and Emre Soyer3
Abstract
QT:{{” Inference involves two settings: In the first, information is acquired (learning); in the second, it is applied (predictions or choices). Kind learning environments involve close matches between the informational elements in the two settings and are a necessary condition for accurate inferences. Wicked learning environments involve mismatches. This conceptual framework facilitates identifying sources of inferential errors and can be used, among other things, to suggest how to target corrective procedures. For example, structuring learning environments to be kind improves probabilistic judgments. Potentially, it could also enable economic agents to exhibit maximizing behavior.
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