Polish E11 Oblique Numbers Station VERY WEAKLY Received In USA

Hi,

So I had heard that the Polish numbers station E11 "Oblique" can sometimes be heard in the USA when propagation is very good. It was extremely weak, but here is my recording. Has anyone else picked this station up in the US?

https://www.youtube.com/watch?v=W7xT2-yBP3c

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Not much of a math guy but prime numbers baffle me. :-/
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How do I prove that 887 is a prime number?

How do I prove this?

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Simple 8-bit CPU I designed for my school project as an 18 year old in high school. Top right is program memory with machine code i created. Bottom right is memory in which program stores prime numbers up to 255. v.redd.it/ttci2vkij4a81
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In the spirit of another recent post: Less simple 4-stage pipelined 32-bit ARM CPU I designed for a school project many moons ago. It supports forwarding and hazard protection. Here it is computing prime numbers from a hand-compiled C-routine @ 32 Hz :-) v.redd.it/1h0xpzgg84c81
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Mini tool to search prime numbers. Link in the comments (comes with source code) v.redd.it/0ff4uog7iwb81
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ELI5 why the number 1 is not a prime number?
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Need a last minute Christmas present? How about turning your loved ones into prime number?

Some benevolent dictator

How? Easy!

  1. We resize the image to contain at most a certain amount of pixels. This is too avoid having to look for too large primes.
  2. Run various image processing steps like edge enhancement and smoothing before converting the image into grey-scale.
  3. We then quantise the image into just having 5 to 10 grayness levels.
  4. Now we map each grayness level to a digit, et voila, we have embedded the picture into a number. 5. It now remains to tweak some of the digits until we find a prime number that still looks like the image.

You can find a simply CLI tool to perform the above here: https://github.com/LeviBorodenko/primify

Note: According to the prime number theorem, the density of prime numbers is asymptotically of order 1/log(n). Hence, if we have some number n with m digits, the number of primality tests that we expect to do until we hit a prime number is roughly proportional to m. Since we use the Baillie–PSW primality test, the overall expected computational complexity of our prime searching procedure is O(n\*log(n)Β³).

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Prime Number Solver NFT | Upvote + wallet + k kk => 1 GIFT

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I’d love to know your answers and know what film(s) you guys think fit the bill!

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Do your own research people!!1!

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Greetings all! It’s Thursday, 11-11, and I’m here. 11 is a prime number. As a matter of fact, 111121 is also a prime number. It seems like a prime time to come by and say hello, so I can buy your first drink.
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Is there any prime number like 5?

When you sum up 2 + 3 = 5, 2 and 3 are primes.

The thing is after 2 and 3, it happens that the next prime number is 5. Is there any example where the sum of all "previous" prime numbers equal the "current" prime number aside from 5?

2 + 3 + 5 + 7 = 17, but it skips 11 and 13.

Thank you.

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17 and 19 are 2 consecutive prime numbers whose difference is also a prime number.
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Weakly supervised learning with microscopy images and eggs

Hi,

I am trying to detect which parts of a microscopy image are out of focus and how far (from z-stacked images). Sadly I only have data that is not annotated. I have focus values for the main focus plain but some of the objects that should be in focus are not always on that plane. I also have some annotated data with these objects (possibly later on also annotations on which plane is in focus).

What do you think is the best approach for this kind of problem. I thought of multiple approaches:

  1. Using the main focus plane but hand annotating/using objects in focus to override the focus plane on these places
  2. Hand labelling some images (maybe 100 to 1000) and
    1. training a model on these,
    2. then using that model to auto annotated some images with the trained model (for example annotate 1000 images manually and 1000 with the trained model)
    3. now train again on the combined set of images. Use the now trained model to relabel the automatic annotated images + some more.
  3. Using some approach like Snorkel where annotated objects and focus of the whole image focus plane are used as weak supervision signals.

What do you think of my approaches (as of now I favour approach 2 or a combination of this with either 1 or 3)?

Also do you have any recommended papers that might help me out here?

Thanks in advance!

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Prime Number Solver NFT | Upvote + wallet + k kk => 1 GIFT

Get one of those Solver in hidden content to have your name in a futur sci publication + 1 ticket to participate in live to the global discovery of Prime Number resolution.

Example of Solver Card, the Solver is hidden in it.

To get 1 of the 40 Solver, upvote, drop wallet and write k kk numbers

Full collection at

https://opensea.io/collection/number-prime-solver-40

Questions possible of any type in comments or twitter

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