File:Faisca NeuroMat- Ecologias digitais e divulgacao cientifica.webm

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Original file (WebM audio/video file, VP9/Opus, length 50 min 0 s, 1,280 × 720 pixels, 594 kbps overall, file size: 212.44 MB)

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Português: Apresentado pelo físico Fernando da Paixão, o Faísca NeuroMat é uma iniciativa do Centro de Pesquisa, Inovação e Difusão em Neuromatemática (CEPID NeuroMat), e tem como objetivo apresentar ao público conceitos científicos, relacionando-os com questões que estão em destaque nos noticiários. O décimo Faísca NeuroMat traz o jornalista João Alexandre Peschanski, que discutirá qual é o papel das imagens e das representações na divulgação científica nas redes. Serão apresentadas evidências de que elas vão além daquilo que os olhos veem, pois existe toda uma ecologia nos meios digitais que estão relacionadas aos metadados e ao ambiente colonizado da internet, o que dificulta a disseminação das informações científicas.
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Source YouTube: Racism And Bigotry-Police Called On Us For Public Filming At Post Office;Tyrants-1st Amendment Audit – View/save archived versions on archive.org and archive.today
Author Kern County Transparency

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RDCI NeuroMat

CC-BY-SA 4.0
This media was produced by NeuroMat and was licensed as Creative Commons BY-SA 4.0. The Research, Innovation and Dissemination Center for Neuromathematics (RIDC NeuroMat) is a Brazilian research center hosted by the University of São Paulo and funded by the São Paulo Research Foundation (FAPESP).

Attribution in English: RIDC NeuroMat
Attribution in Portuguese: CEPID NeuroMat
w:en:Creative Commons
attribution share alike
This file is licensed under the Creative Commons Attribution-Share Alike 4.0 International license.
Attribution: RIDC NeuroMat
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  • share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.


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Date/TimeThumbnailDimensionsUserComment
current23:08, 17 September 202050 min 0 s, 1,280 × 720 (212.44 MB)Thaismay (talk | contribs)Imported media from uploads:074032ba-f922-11ea-a80d-6ababe321f3c

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Format Bitrate Download Status Encode time
VP9 720P 358 kbps Completed 23:47, 17 September 2020 39 min 10 s
VP9 480P 225 kbps Completed 23:41, 17 September 2020 32 min 50 s
VP9 360P 160 kbps Completed 23:30, 17 September 2020 21 min 53 s
VP9 240P 125 kbps Completed 23:27, 17 September 2020 18 min 54 s
WebM 360P 280 kbps Completed 23:25, 17 September 2020 17 min 15 s
QuickTime 144p (MJPEG) 1.13 Mbps Completed 10:21, 25 October 2024 3 min 6 s

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