lix blog

The swiss Rösti is a traditionally dish, cooked with slivers of veal and a cream sauce with mushrooms. Here is a simple howto and recipe, that is Licensed under GFDL 1.2 & CC-by-sa 3.0.

• 2 kg of “waxy”, firm potatoes
• 80 g butter
• salt
• diced bacon (if you like)
• eggs (for additional fried egg)

The day before cooking Rösti, prepare by boiling raw, paddy potatoes and put them into the fridge over night. This way the potatoes are easier to peel, get stronger starch bond and the Rösti won’t get stroppy.

Start melting 30g of butter in a pan on medium heat. Take the potatoes out of the fridge and peel them.

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Grate the potatoes directly into the pan over the melted butter, without compacting to keep it fluffy. Occasionally add salt over the first layer.

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Add a few butter flakes around the border of the pan, slighly press the border of the Rösti and cover the pan, while adding full heat. Let the Rösti gently roast for about 10-12 minutes.

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Turn the pan around with the aid of a cover or a plate. Repeat roasting the other side by adding butter again, sliping the Rösti into the pan again, adding some flakes of butter arount the pan again and covering it.

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enjoy 😉

[Update] Sauce recipe

Prepare mushrooms, onion, butter, milk and the meat of your choice, usually sliced veal.

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Cut the onions into cubes, the mushrooms and the meat into slices. melt 20g of butter in a pan.

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Fry onions, then add the meat, roast it well, then remove it and put it aside.

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sweat the mushrooms, you can stimulate them with a bit of salt. Once done, add 10-20g of butter in the middle, add a bit of flour and start pouring milk into the pan, while whisking the sauce.

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Add the meat again, mix everything and season the sauce to taste with pepper and salt.

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enjoy! 😉

Press release
Zurich – Hamburg, 29th June 2020

Just in time for the introduction of the “QR bill” in Switzerland, Marei Peischl (peiTeX TeXnical Solutions, Hamburg) and Alex Antener (foobar LLC, Zurich) publish the LaTeX based QRbill template under the LaTeX Project Public License (LPPL).

Thanks to the stringent, simple, clear and well-arranged structure, the template created and published following the specifications of SIX Interbank Clearing Ltd can easily be implemented in a variety of accounting and billing applications and thus used again. The published template is based on the guidelines issued for Switzerland and intentionally has a modular structure to enable further development and adaptation for use across national borders.

The official package can be downloaded from the archive of the CTAN – Comprehensive TeX Archive Network at the following URL: https://ctan.org/pkg/qrbill

The contact to take care of the official template can be written to via the email address qrbill@peitex.de while the issue tracker is here.

The two companies peiTeX and foobar LLC are both technology companies that support their decades of historically grown experience in specialised areas with a strong open source and free software background.

Marei Peischl & Alex Antener
peiTeX & foobar LLC

#Superspreader is the new #Influencer

also:

#Superspreader is the new #Influenza

reference

1. Can we permanently delete our data from the Internet?

The short answer is “no”. Computer system don’t know an action that deletes data. When data is stored on a storage device and want’s to be removed, the computer just removes the file pointer. The original data still is left at the very same, original place. The next time data is saved on the same storage device, the computer eventually overwrites the old data. Once this is repeated many times, it becomes more and more difficult to reconstruct the original data, but in many cases this still can be done. Think of it like a footprint in the sand. The footprint is not deleted, but once you step many times over the same footprint, the original one can hardly be seen, but is still there.
The Internet is a very large network of computers, servers, nodes, gateways, routers, clusters, etc., which means that every time you copy data to the Internet it travels a long way from your device to the remote location, where your data is written to a storage device. When traveling all the way through the network, your data is copied, cached and backed on each node or gateway. The very same data is copied so many times that it becomes impossible to control on how many places the same data has been written to a storage device. Even at the remote endpoint a computer cluster is copying the data again for reliability and redundancy reasons.

Once you try to delete and remove such data from the Internet, you might not see it at the original location any longer, but the data will still be there in all copied places for a long time, until it is overwritten many many times.

Private, confidential data does not belong into the Internet. The Internet was not invented for that purpose. The origin of the Internet, the former arpa-net, was to publish and distribute data and information on scientific research, academic knowledge, information and content from libraries and book collections.

The Internet never forgets.

2. Can we recover Deleted or Lost Files?

Yes. Depending the resources, the disposability and the mechanisms one can more or less easily recover lost data. Again: all the data that travels through the Internet is copied and cached all over many places. For example there is a robot called “the Internet archiver”, which is a search spider that follows all the links it can find in the Internet and crawls through the network. Once it finds data it copies and stores it, where one can recover it again. Further there are large data crawlers that are gathering large amount of data for data mining purpose, copy and keep the data in historical archives. Once somebody has access to such resources, one can easily recover “lost” data.

Computer systems don’t know the concept of “loosing” data. Think of Cloud computing like fog. In nebulous computing data can slowly fade away, but is not completely removed, just overwritten. It’s like your memory in the brain works: if you don’t repeat the information from time to time again, you start to forget. Try to delete a memory from your brain. The more you try to delete it from your brain, the more you will keep it, because you repeat and continue to remember.

Content delivery networks work that way: the more the same data is requested, the more it is copied to the very surface of the network supply.

The question is: are you clever enough to ask the right question to retrieve your lost data?

Nora de Baan

Get well soon, Linkedin!