Archive for the '–' Category

You Look Familiar. Now Scientists Know Why. – The New York Times

June 1, 2017

https://www.nytimes.com/2017/06/01/science/facial-recognition-brain-neurons.html?smid=tw-nytimesscience&smtyp=cur&_r=0

The Best Bike Helmets for Adults

June 1, 2017

http://nymag.com/strategist/2017/05/bike-helmets-for-adults.html?mid=twitter_nymag&utm_campaign=nym&utm_source=tw&utm_medium=s1

Is the Gig Economy Working? – The New Yorker

June 1, 2017

Is the Gig Economy Working?
http://www.NewYorker.com/magazine/2017/05/15/is-the-gig-economy-working/amp It’s lonely Being a @TaskRabbit. Can one make a career of it? #SharingEconomy

helloalfred.com

Common SNPs explain a large proportion of the heritability for human height : Nature Genetics : Nature Research

June 1, 2017

http://www.nature.com/ng/journal/v42/n7/abs/ng.608.html

Common SNPs explain a large proportion of the heritability for human height

Jian Yang,
Beben Benyamin,
Brian P McEvoy,
Scott Gordon,
Anjali K Henders,
Dale R Nyholt,
Pamela A Madden,
Andrew C Heath,
Nicholas G Martin,
Grant W Montgomery,
Michael E Goddard
& Peter M Visscher

Nature Genetics 42, 565–569 (2010) doi:10.1038/ng.608

QT:{{"
…conveniently implemented with a mathematically equivalent model
that uses the SNPs to calculate the genomic relationship between
pairs of subjects). Using this approach, we estimated the proportion
of pheno­typic variance explained by the SNPs as 0.45 (s.e. = 0.08,
Table 1), a nearly tenfold increase relative to the 5% explained by
published and validated individual SNPs
"}}

Common SNPs explain a large proportion (45%) of heritability for…height (80%) http://www.Nature.com/ng/journal/v42/n7/abs/ng.608.html Vs ’10 GWAS SNPs could only expl. 5%

Washing hands in cold water ‘as good as hot’ – BBC News

June 1, 2017

http://www.bbc.com/news/health-40118539

Nest cams back from the dead with new home monitoring device – The Verge

May 31, 2017

https://www.theverge.com/2017/5/31/15716830/nest-cam-iq-announced-specs-features-release-date-price

Unshackled algorithms: Machine-learning promises to shake up large swathes of finance | The Economist

May 29, 2017

http://www.economist.com/news/finance-and-economics/21722685-fields-trading-credit-assessment-fraud-prevention-machine-learning?fsrc=scn/fb/te/bl/ed/

The formation of the solar system

May 29, 2017

http://atropos.as.arizona.edu/aiz/teaching/nats102/mario/solar_system.html

QT:{{”

Initially the cloud was about several light years across. A small overdensity in the cloud caused the contraction to begin and the overdensity to grow, thus producing a faster contraction –> run away or collapse process

Initially, most of the motions of the cloud particles were random, yet the nebula had anet rotation. As collapse proceeded, the rotation speed of the cloud was gradually increasing due to conservation of angular momentum.

…
Gravitational collapse was much more efficient along the spin axis, so the rotating ball collapsed into thin disk with a diameter of 200 AU (0.003 light years) (twice Pluto’s orbit), aka solar nebula (movie), with most of the mass concentrated near the center.

As the cloud contracted, its gravitational potential energy was converted into kinetic energy of the individual gas particles. Collisions between particles converted this energy into heat (random motions). The solar nebula became hottest near the center where much of the mass was collected to form the protosun(the cloud of gas that became Sun).
“}}

Alone on the Open Road: Truckers Feel Like ‘Throwaway People’ – The New York Times

May 28, 2017

https://www.nytimes.com/2017/05/22/us/trucking-jobs.html?_r=0

UC Berkeley and Bitmark partner to bring data donation to public health studies

May 28, 2017

UCB & @BitmarkInc partner to bring data donation to public health
studies https://Medium.com/@bitmark/uc-berkeley-and-bitmark-partner-to-bring-data-donation-to-public-health-studies-3e9a17891432 Using #blockchain to control one’s data