Infinity Imagined
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Neural Network
Lives in Nitrogen-Oxygen Atmosphere
270 K - 300 K
Eats, Breathes, Thinks, Creates

Perseid Meteor Shower
If you have never heard of the Fluxtimator before, it’s this tool that estimates the meteor shower rates for you. So you select the time, location and the name of the meteor shower and it will give you some numbers on what to expect. I found it to be fairly accurate over the last few meteor showers I watched.
I made this gif showing the next few days for the Perseids this year. I selected Phoenix because I live near there and as you see it is expected to max out around 89 apparently. It stops at around 6am because that’s when the Sun rises and around the 14th you can see a dip forming on the left side of the line. That is from the Moon getting brighter (waxing) and rising earlier trying to ruin the show, but good thing it was a few days late this year.
If you read my article on the Perseids already you would know that more-southern areas will see lower rates. If you go a little bit more north than 33 degrees latitude (Phoenix) some areas will reach rates of over a 100!
(I know right, but make sure you get away from light pollution and also being on a mountain helps)
But the point for this is you can start watching for Perseids now! It is definitely not too early. I already saw some Perseid fireballs a few days ago along with some Delta Aquarids last week. You will definitely see more and more fireballs as the days progress towards the peak, and according to NASA, the Perseids produce the most fireballs out of all the other meteor showers.
So get on out there fellow stargazers, look up at night and enjoy the show! And if you want to try and photograph some meteors or just need some awesome jams to listen to, take this with you.

via the-science-llama
The scientific man does not aim at an immediate result. He does not expect that his advanced ideas will be readily taken up. His work is like that of the planter — for the future. His duty is to lay the foundation for those who are to come, and point the way. He lives and labors and hopes.

MAGIC (Major Atmospheric Gamma Imaging Cherenkov) telescope
The aims of scientific thought are to see the general in the particular and the eternal in the transitory.

Hubble Space Telescope: Comet ISON, April 30th 2013

 In this Hubble Space Telescope composite image taken in April 2013, the sun-approaching Comet ISON floats against a seemingly infinite backdrop of numerous galaxies and a handful of foreground stars. The icy visitor, with its long gossamer tail, appears to be swimming like a tadpole through a deep pond of celestial wonders. This photo is one of the original images featured on ISONblog, a new online source offering unique analysis of Comet ISON by Hubble Space Telescope astronomers and staff at the Space Telescope Science Institute in Baltimore, Md. For more on ISONblog, visit: 

Credit: NASA, ESA, and the Hubble Heritage Team (STScI/AURA)
Science enhances the moral value of life, because it furthers a love of truth and reverence—love of truth displaying itself in the constant endeavor to arrive at a more exact knowledge of the world of mind and matter around us, and reverence, because every advance in knowledge brings us face to face with the mystery of our own being.
Biology at the nanoscale is beautiful to imagine, a single bacterium is as complex, active and interconnected as an entire city. Our bodies are composed of trillions of molecular civilizations acting in unity. Life is a fractal of specialized interacting and replicating machines, enacting an endless variety of forms on every scale.

Simulation of E-Coli cytoplasm

The cytoplasm of the gram-negative bacterium Escherichia coli is very densely packed with macromolecules, and this highly crowded environment is expected to have a significant impact on the diffusive and thermodynamic properties of its constituents. Continuing progress in the field of structural biology now allows molecular simulations of the cytoplasm to be performed with structurally detailed models, providing a new, computational view of macromolecular behavior in vivo (see McGuffee, S. R. and A. H. Elcock (2010, March). Diffusion, crowding & protein stability in a dynamic molecular model of the bacterial cytoplasm. PLoS Computational Biology 6 (3), e1000694+.).
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