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Resis (Enrico Bucci)
Science Integrity Digest (Elisabeth Bik)
Image integrity (Jana Christopher)
Image Data Integrity (Mike Rossner)
plus many more individuals highlighted back in 2018 at retractionwatch.org
Ist ganz einfach. Neuestes Heft herunterladen und splitten
# brew install ghostscript gs -dBATCH -dNOPAUSE -q -sDEVICE=pdfwrite -dFirstPage=6 -dLastPage=9 -sOUTPUTFILE=Krull.pdf LJ_20_07.pdf gs -dBATCH -dNOPAUSE -q -sDEVICE=pdfwrite -dFirstPage=14 -dLastPage=17 -sOUTPUTFILE=Antes.pdf LJ_20_07.pdf gs -dBATCH -dNOPAUSE -q -sDEVICE=pdfwrite -dFirstPage=26 -dLastPage=29 -sOUTPUTFILE=Jaeger.pdf LJ_20_07.pdf gs -dBATCH -dNOPAUSE -q -sDEVICE=pdfwrite -dFirstPage=34 -dLastPage=37 -sOUTPUTFILE=Jeschke.pdf LJ_20_07.pdf
Did not know but there is a library that is able to export directly to .pptx which can be imported into Keynote and edited after ungrouping.
Neu:
Let’s start with some examples from the literature, find out necessary elements, compare different versions and develop a R template for general use.
“Exploding Stars”
“Tetris”
“Clean Undeterministic”
“Clean Tree”
“Tree Addons”
“Railways”
“Simple ”
“Vertical”
“star bus”
“Mathematical”
“Genetics”
It’s bit confusing if you are having long-term experience with R but need some OpenCV Python code. What worked for me
Although having some experience with leaflet before, it took me 5 hours to find out how to
(1) change the background color and
(2) re-center my map after the popup was panning the map basically out view. Here is my solution
leaflet(options = leafletOptions(
zoomControl = FALSE,
minZoom=6, maxZoom=6,
centerFixed = TRUE) ) %>%
addPolygons(data = ds,
fillColor = ~pal(AnzahlFall),
color="black", weight = 1,
fillOpacity = 0.7,
label = ~name_2,
popup = ~www,
popupOptions = popupOptions( autopan=FALSE, keepInView = TRUE ) ) %>%
htmlwidgets::onRender("
function(el, x) {
var myMap = this;
myMap.dragging.disable();
myMap.on('popupclose', function(e) { myMap.panTo( {lon: 10.26, lat: 51.1} ) });
var e = document.getElementsByClassName('leaflet-container');
e[0].style.backgroundColor = 'white';
}")
Homebrew is struggling with the older python 2.7 version that is missing ssl support. Python 3.8 did not recognize cv2 but this finally worked
brew install python3 brew postinstall python3 pip3 install virtualenv virtualenvwrapper virtualenv env_name --python="python3" /Users/wjst/env_name/bin/pip3 install opencv-python /Users/wjst/env_name/bin/pip3 install pandas scipy matplotlib Pillow tqdm sklearn imageio /Users/wjst/env_name/bin/python3 -c "import cv2"
then I could finally run the image forgery detection from Github.
cd /Users/wjst/Desktop/image-copy-move-detection-master /Users/wjst/env_name/bin/python3 > from copy_move_detection import detect > ...
https://swcarpentry.github.io/r-novice-inflammation/06-best-practices-R/
https://www.r-bloggers.com/r-code-best-practices/
https://en.wikipedia.org/wiki/Best_coding_practices
https://www.topcoder.com/coding-best-practices/
https://hackernoon.com/few-simple-rules-for-good-coding-my-15-years-experience-96cb29d4acd9
Volker Kitz erklärt den Unterschied
Was ist eine Meinung? Eine Meinung gibt ein persönliches Werturteil wieder. Das wesentliche Merkmal der Meinung ist: Sie kann nicht “richtig” oder “falsch” sein, man kann sie nicht überprüfen. Das unterscheidet die Meinung von der Tatsachenbehauptung. Sage ich: “Mein Nachbar prügelt seinen Hund”, lässt sich diese Äußerung überprüfen, ist also eine Tatsachenbehauptung. Sage ich hingegen: “Der Lebenswandel meines Nachbarn ist inakzeptabel”, lässt sich das nicht überprüfen. Andere können das anders sehen. Es ist eine Meinungsäußerung.
Das ganze ist deshalb so schwierig weil zuweilen Meinung und Tatsachenäußerung direkt in einander übergehen. Über eine Tatsachenbehauptung lässt sich manchmal sehr einfach auch eine Meinung transportieren. Tucholskis “Soldaten sind Mörder” beinhaltet die Tatsache, dass Soldaten unter bestimmten Voraussetzungen andere Menschen töten (die Aussage ist also durch Art. 5 Abs. 1 GG gedeckt …).
Allerding muss die Tatsache an sich stimmen. Mit unwahren Aussagen kann man sich nicht auf Meinungsfreiheit berufen.
Here are some simple some tools for examining papers.
Pictures
There is no single button solution. To extract the pictures I use unar (“brew install unar” or “pdf2txt.py”) which preserves more detail than a screenshot. As web-based solution Forensically is useful (alternatives are Fotoforensics, Reveal and the beta version of ImageTwin). I have written an own OpenCV script while I think Sherloq is the most useful toolbox. Maybe there are also situations where individual color adjustments are needed: I have a local version of Affinity here but there is also super nice web-based tool called Minipaint.
Text
For text plagiarism check, it probably needs some paid service: docoloc, Plagscan or Turnitin (services compared here) if don’t want to copy/paste text blocks into Google Search. For translation, I recommend Deepl. For text comparison I used BBEdit while also the Atom/split-diff plugin is suitable (as an online solution also simtext). For PDF comparison I suggest Copyleaks.
Statistics
Current software developments to scan manuscripts for statistical issues are Barzooka (Nico Riedel), SciScore (Michèle Nuijten), Grim Test (Nicholas Brown) among others.
Misc
A short history of detecting image forgery can be found at the Zwelling blog and an introduction into the theory in a paper by Hany Farid or his book “Fake Photos“. A recent interview with Elisabeth Bik gives further details, an introduction into picture forensics is at scienceintegritydigest including details of the nomenclature.
PubPeer is the place where the results should be deposited.
“There is currently worldwide concern over corruption…. This concern touches all Member States and all levels of education” according to the European Counsil.
I have been looking for a wikipedia-style link out symbol (wikipedia uses a svg symbol). Some websites recommend font awesome symbol /f08e others are in favor of the north east arrow #x2197; while I modfied now a code pen by thiago for the css of this wordpress child theme
a:not([href*='wjst.de'])::after {
content: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAoAAAAKCAYAAACNMs+9AAAAQElEQVR42qXKwQkAIAxDUUdxtO6/RBQkQZvSi8I/pL4BoGw/XPkh4XigPmsUgh0626AjRsgxHTkUThsG2T/sIlzdTsp52kSS1wAAAABJRU5ErkJggg==);
margin: 0 3px 0 5px;
}
Materialsammlung bioinformatics / big data / deep learning
Passend dazu auch der CCC Vortrag Nadja Geisler / Benjamin Hättasch am 28.12.2019
Deep Learning ist von einem Dead End zur ultimativen Lösung aller Machine Learning Probleme geworden. Die Sinnhaftigkeit und die Qualität der Lösung scheinen dabei jedoch immer mehr vom Buzzword Bingo verschluckt zu werden.
Ist es sinnvoll, weiterhin auf alle Probleme Deep Learning zu werfen? Wie gut ist sind diese Ansätze wirklich? Was könnte alles passieren, wenn wir so weiter machen? Und können diese Ansätze uns helfen, nachhaltiger zu leben? Oder befeuern sie die Erwärmung des Planetens nur weiter?
Dazu kommt noch – es ist ein gigantischer Energieverbrauch durch die Rechenleistung.
Zusammenfassung in einem Bild auf Twitter (@wetlabsucks,@nixcraft)
The reminder app survived the move from iOS 12 to 13 but not the upgrade from Sierra to Catalina ( if your syncing like me via CalDAV to your own cloud ).
Unfortunately also Busycal is stuck, the only app that is still working on Catalina seems to Fantastical2…
Right now there is a lot of information out there how to export a reveal presentation as PDF but much less not how to include a PDF document. The most natural way would be some embed
<section><object data="test.pdf" style="width:100%"><a href="test.pdf">PDF laden</a></object><section>
looks strange, not full frame, no handlers
<section data-background-iframe="test.pdf" data-background-interactive></section>
works but cannot jump to a certain page and cannot style the background.
So I am using now additionally the Chrome plugin that is based on pdf.js.