linkstream2 microblog

Five Web-based Apps to help you #visualize big data: Many Eyes, ICharts, Visualize Free, Wolfram Alpha, Data Wrangler
http://www.techrepublic.com/blog/five-apps/five-web-based-apps-to-help-you-visualize-big-data ==
Also Visualize Free to complete the 5 MT @KirkDBorne 5 Web-based Apps to help you visualize #BigData
http://www.techrepublic.com/blog/five-apps/five-web-based-apps-to-help-you-visualize-big-data

MT @davidlazer So many #NSA elves that deconfliction needed to avoid collisions. Spies Infiltrate… Online Games
http://www.nytimes.com/2013/12/10/world/spies-dragnet-reaches-a-playing-field-of-elves-and-trolls.html

QT: {{”
But for all their enthusiasm — so many C.I.A., F.B.I. and Pentagon spies were hunting around in Second Life, the document noted, that a “deconfliction” group was needed to avoid collisions — the
intelligence agencies may have inflated the threat.
“}}

A REPORTER AT LARGE

AUTO CORRECT

Has the self-driving car at last arrived?

BY BURKHARD BILGER

NOVEMBER 25, 2013

Has the self-driving car at last arrived? Almost, thanks to DARPA challenges, maps & machine learning
http://www.newyorker.com/reporting/2013/11/25/131125fa_fact_bilger via @gigajordan

The Decline Of #Wikipedia. Current issues: fewer editors, biased coverage & hidden wysiwyg interface
http://www.technologyreview.com/featuredstory/520446/the-decline-of-wikipedia via @mhsantosa

http://www.economist.com/news/technology-quarterly/21590758-information-storage-60-year-old-technology-offers-solution-modern?fsrc=scn/tw_ec/magnetic_tape_to_the_rescue

Science for All. Interesting factoids on #India: more cellphones than toilets & plans for national #biometric numbers
http://www.sciencemag.org/content/340/6136/1032.abs

QT:{{”
Nationwide connectivity is transforming India in other ways as well. Today, the country has 900 million cell phones. “Only about 35% of Indian homes have toilets. About 60% have mobile phones,” says Jairam Ramesh, who as India’s minister for rural development is searching for innovative solutions for poverty alleviation (see p.1034).
…
Prime Minister Singh threw his weight behind the venture, and in July 2009 the Unique Identification Authority of India (UIDAI) was formed. Its ambitions have since grown: UIDAI is now striving to assign a random 12-digit “Aadhaar” ID number to every resident of India, based on photos, iris scans, and a full set of 10 fingerprints. Some critics blast the program as far too ambitious to succeed. Others say it feels like Big Brother; they point out that security agents will have access to the database. Nevertheless, 300 million people have received Aadhaar numbers since the authority’s enrollment centers, scattered across the country, opened in September 2010.
“}}

A CRITIC AT LARGE
NAKED LAUNCH
What’s really new about the big new tech companies?
BY NATHAN HELLERNOVEMBER 25, 2013

What’s Really New About the New #Tech Companies? Brin, #Bezos etal just like #Rockefeller & Carnegie
http://www.newyorker.com/reporting/2013/11/25/131125fa_fact_heller MT @anandrajaram

http://www.therecapp.com/apps/any.do/

http://pikimal.com/html-editor

From
http://www.ncbi.nlm.nih.gov/books/NBK3827/#pubmedhelp.Search_Field_Descrip some useful field descriptors, include:

Last author = [Lastau]
First author = [1au]
Grant = [GR]

Here are some examples employing these from the end of 2012:

(1) My overall query {Q} (from papers page, http://papers.gersteinlab.org) =

((Gerstein M[Author] NOT (1957[dp] : 1990[dp])) NOT 10787728[UID] NOT 11744447[UID] NOT 14663468[UID] NOT 14730174[UID] NOT 16081066[UID] NOT 14663468[UID] NOT 17270657[UID] NOT 21243890[UID] NOT
21406498[UID] NOT 21945273[UID]OR 15499007[UID] OR 17571346[UID] OR 17571346[UID] OR 8877505[UID] OR 8816770[UID] OR 7540695[UID] OR 7567918[UID] OR 7567918[UID] OR 7577841[UID] OR 7567917[UID] OR 7643385[UID] OR 8749848[UID] OR 8808580[UID] OR 8120887[UID] OR 8029203[UID] OR 8204609[UID] OR 7922041[UID] OR 7584390[UID] OR 8078776[UID] OR 8428572[UID] OR 8429559[UID] OR 8464069[UID] OR 8234227[UID] OR 8230220[UID] OR 1584800[UID] OR 2067013[UID] OR 20981092[UID] OR 21526222[UID])

==> yields 426 papers (from my total of 449)

(2) Last author papers

(2a) Gerstein M[Lastau] AND {Q}
==> yields 242 last author papers

(2b) GM[GR] AND Gerstein M[lastau] AND {Q}
==> yields 33 of 242 last author papers supported by NIH/NIGMS

(2c) GM[HG] AND Gerstein M[lastau] AND {Q}
==> yields 45 of 242 last author papers supported by NIH/NHGRI

(3) 1st author papers

(3a) Gerstein M[1au] AND {Q}
==> yields 41 first author papers

(3b) Gerstein M[lastau] AND Gerstein M[1au] AND {Q}
==> yields 11 sole author papers

(4) Reviews

Gerstein M[lastau] AND review[PT] NOT PLOS ONE[Journal] AND {Q} ==> yields 19 Reviews