Get Up I Feel Like Being a HyperText Machine #GrubStreetJournal . Take it to the Bridge. #HypathiasEyebrowser #Themes #FrameWorksofUnderstanding #Context #Motivation #DevilsAdvocate #YingYang #ManySidedness #IntegralTheory #AQAL #MartinNowak

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Get Up I Feel Like Being a Text Machine

James Brown – The Godfather

Fellas, I’m ready to get up and do my thing
I wanna get into it, man, you know
Like a, like a Text machine, man,
Movin’, doin’ it, you know
Can I.

 

https://notthegrubstreetjournal.com/2019/09/07/mindforge-tiddlywiki-oip-alexandria-xanadu-xanadocs-hypathias-eybrowser-bench-notes-in-progress/

 

 

  • Roger Lewis
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Roger Lewis – live

Multistreaming with https://restream.io/

Streaming Live from https://t.co/dcSoS2SOwz #HypathiasEyebrowser #GrubStreetJournal #Tonefreqhz

— RogerGLewis (@PMotels) September 8, 2019

http://zesty.ca/crit/yee-crit-cscw2002-demo.pdf

https://web.archive.org/web/20081208052404/http://www.udanax.com/green/

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http://zesty.ca/crit/

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https://web.archive.org/web/20081202000354/http://www.duke.edu/eng169s2/group1/lex3/hyprdecl.htm

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https://web.archive.org/web/20081211081106/http://odur.let.rug.nl/~usa/D/1776-1800/independence/doi.htm

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https://duckduckgo.com/?q=Ka-Ping+Yee+University+of+California%2C+Berkeley+twitter&ia=web

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http://srl.cs.jhu.edu/pubs/SRL2003-02.pdf

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file:///home/roger/Desktop/crit-0.9.2/web/index.html

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Martin Nowak: The Mathematics of Cooperation from Why Are We Here? on Vimeo.

32 thoughts on “Get Up I Feel Like Being a HyperText Machine #GrubStreetJournal . Take it to the Bridge. #HypathiasEyebrowser #Themes #FrameWorksofUnderstanding #Context #Motivation #DevilsAdvocate #YingYang #ManySidedness #IntegralTheory #AQAL #MartinNowak

  1. Roger G Lewis September 9, 2019 at 6:25 am #
    It works.

    There are scripts for dynamic updating to IPNS ( for the techies.)

    This is uncensorable web 3 computing, all the hypertext is to do with rendering HTML which is a trivial matter for poit to point encryption, where Blockchain comes in is for network communications and time stamping, Blockchain may well not be the simplest way of approaching the problem which is what my last two blogs are pointing at. ( end Note ) Bench notes, please ignore.

    Roger G Lewis September 9, 2019 at 6:21 am #
    Roger Lewis May 20, 2019 at 12:05 pm #
    http://127.0.0.1:8080/ipfs/QmRDT8v2HX7KNjawyGwqnUJKHuA9vux4VDPhYJeJ3A52XF/www.golemxiv.co.uk/2019/05/how-to-prevent-debate-while-claiming-to-be-in-favour-of-it/index.html

    Test see Golem XIV on IPFS, the uncensorable web.

    https://longhairedmusings.wordpress.com/2019/05/11/web-3-ipfs-intermediaries-in-a-disintermediated-world-coals-to-newcastle-gcmaf-effectivecancertreatment-bigpharma-davidnoakes-web3-anticensorship/

    install IPFS desktop
    https://github.com/ipfs-shipyard/ipfs-desktop

    run daemon in terminal or run desktop app

    Snapshot on IPFS
    Comment made on IPFS Snap shot, (Test)

  2. Analyzing biological data to produce meaningful information involves writing and running software programs that use algorithms from graph theory, artificial intelligence, soft computing, data mining, image processing, and computer simulation. The algorithms in turn depend on theoretical foundations such as discrete mathematics, control theory, system theory, information theory, and statistics.

    https://en.wikipedia.org/wiki/Bioinformatics

    https://www.bitchute.com/video/Nr6AwHmufWRD/
    https://longhairedmusings.wordpress.com/2019/09/08/get-up-i-feel-like-being-a-hypertext-machine-grubstreetjournal-take-it-to-the-bridge-hypathiaseyebrowser-themes-frameworksofunderstanding-context-motivation-devilsadvocate-yingyang-manys/comment-page-1/#comment-5143

    #GrubStreetJournal #HypathiasEyeBrowser #ConquestofDough

  3. Literature analysis
    Main articles: Text mining and Biomedical text mining
    The growth in the number of published literature makes it virtually impossible to read every paper, resulting in disjointed sub-fields of research. Literature analysis aims to employ computational and statistical linguistics to mine this growing library of text resources. For example:

    Abbreviation recognition – identify the long-form and abbreviation of biological terms
    Named entity recognition – recognizing biological terms such as gene names
    Protein–protein interaction – identify which proteins interact with which proteins from text
    The area of research draws from statistics and computational linguistics.

  4. Ontologies and data integration
    Biological ontologies are directed acyclic graphs of controlled vocabularies. They are designed to capture biological concepts and descriptions in a way that can be easily categorised and analysed with computers. When categorised in this way, it is possible to gain added value from holistic and integrated analysis.

    The OBO Foundry was an effort to standardise certain ontologies. One of the most widespread is the Gene ontology which describes gene function. There are also ontologies which describe phenotypes.

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