pyspedas
betse
| pyspedas | betse | |
|---|---|---|
| 2 | 4 | |
| 135 | 51 | |
| 3.0% | - | |
| 9.8 | 4.7 | |
| 8 days ago | 6 months ago | |
| Python | Python | |
| MIT License | BSD 2-clause "Simplified" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pyspedas
-
Portals in Earth's Magnetic Field
The tools used to analyze these data are now available in Python:
https://github.com/spedas/pyspedas
Examples loading/plotting/analyzing MMS data can be found at:
https://github.com/spedas/mms-examples
-
All the Science Hitching a Ride on Artemis-1
(not the op, but I do have some insight here)
At a minimum, CuSP data will be available via PySPEDAS:
https://github.com/spedas/pyspedas
If you're interested in accessing science data from spacecraft, you should check it out!
betse
- New neural network architecture inspired by neural system of a worm
-
What ever happened to the first cryogenically frozen humans?
Jeanne Louise Calment lived 122 years and 164 days [1]. Doubling the lifespan, 240+ years, is most certainly not possible, not reasonable, using diets, exercises, and so forth: if it were, we would have already been there. Even if we could push the body using current technology, no one will want to live 100+ years (from age 70 to 160+) as an old person, being in pain constantly, fighting all kinds of cancers.
Therefore, the only way I can see a lifespan push, not only x2, but x10, or even x100 (10,000 years—once you get x3/x4, it probably scales trivially) is through 100% organ regeneration and 100% programmatic control over the morphospace. Broke an arm? Amputate the limb and grow another one back, your cells already did it before. Liver cancer? Regrow another liver. Heart issues? Make another heart. Spend all the years above 35 as a perpetual 35 year old, eventually in the bodyshape of Chris Hemsworth/Margot Robbie (to keep the examples in Australia). This scientific fancy is somehow grounded in the mind-enlarging perspectives coming from Dr. Michael Levin's lab [2]. Personally, I believe enough in their thesis, programmatic control over cells, that I started learning about their work, BETSE, Bio Electric Tissue Simulation Engine [3], and try to build on top a BioElectric Simulation Orchestrator, BESO [4]. Most probably, however, we won't see 100% human organ regeneration in our regular lifetimes, but never say never.
[1] https://en.wikipedia.org/wiki/Jeanne_Calment
[2] Speaking with Cells: the Electrical Future of Regenerative Medicine with Dr. Michael Levin https://www.youtube.com/watch?v=RzGaakopAKU
[3] https://github.com/betsee/betse
[4] https://github.com/daysful/beso
- Betse: Bio Electric Tissue Simulation Engine
- From Wound Healing to Regeneration
What are some alternatives?
poliastro - poliastro - :rocket: Astrodynamics in Python
CfC - Closed-form Continuous-time Neural Networks
amateur-satellite-database - The amateur satellites in space
beso - BioElectric Simulation Orchestrator
nasa_impacts - Plotly visualizations of NASA's IMPACTS snow storm study program