HIV virus particle, budding influenza virus and HIV in blood serum as illustrated by David S. Goodsell.
Goodsell is a professor at the Scripps Research Institute and is widely known for his scientific illustrations of life at a molecular scale. The illustrations are usually based on electron microscopy images and available protein structure data, which makes them more or less accurate. Each month a new illustrated protein structure can be found in Protein Data Bank molecule of the month section and you can read more on how his art is made here.
death of a star by a supernova explosion,
and the birth of a black hole
I believe in free education, one that’s available to everyone; no matter their race, gender, age, wealth, etc… This masterpost was created for every knowledge hungry individual out there. I hope it will serve you well. Enjoy!
FREE ONLINE COURSES (here are listed websites that provide huge variety of courses)
Alison
Coursera
FutureLearn
open2study
Khan Academy
edX
P2P U
Academic Earth
iversity
Stanford Online
MIT Open Courseware
Open Yale Courses
BBC Learning
OpenLearn
Carnegie Mellon University OLI
University of Reddit
Saylor
IDEAS, INSPIRATION & NEWS (websites which deliver educational content meant to entertain you and stimulate your brain)
TED
FORA
Big Think
99u
BBC Future
Seriously Amazing
How Stuff Works
Discovery News
National Geographic
Science News
Popular Science
IFLScience
YouTube Edu
NewScientist
DIY & HOW-TO’S (Don’t know how to do that? Want to learn how to do it yourself? Here are some great websites.)
wikiHow
Wonder How To
instructables
eHow
Howcast
MAKE
Do it yourself
FREE TEXTBOOKS & E-BOOKS
OpenStax CNX
Open Textbooks
Bookboon
Textbook Revolution
E-books Directory
FullBooks
Books Should Be Free
Classic Reader
Read Print
Project Gutenberg
AudioBooks For Free
LibriVox
Poem Hunter
Bartleby
MIT Classics
Many Books
Open Textbooks BCcampus
Open Textbook Library
WikiBooks
SCIENTIFIC ARTICLES & JOURNALS
Directory of Open Access Journals
Scitable
PLOS
Wiley Open Access
Springer Open
Oxford Open
Elsevier Open Access
ArXiv
Open Access Library
LEARN:
1. LANGUAGES
Duolingo
BBC Languages
Learn A Language
101languages
Memrise
Livemocha
Foreign Services Institute
My Languages
Surface Languages
Lingualia
OmniGlot
OpenCulture’s Language links
2. COMPUTER SCIENCE & PROGRAMMING
Codecademy
Programmr
GA Dash
CodeHS
w3schools
Code Avengers
Codelearn
The Code Player
Code School
Code.org
Programming Motherf*?$%#
Bento
Bucky’s room
WiBit
Learn Code the Hard Way
Mozilla Developer Network
Microsoft Virtual Academy
3. YOGA & MEDITATION
Learning Yoga
Learn Meditation
Yome
Free Meditation
Online Meditation
Do Yoga With Me
Yoga Learning Center
4. PHOTOGRAPHY & FILMMAKING
Exposure Guide
The Bastards Book of Photography
Cambridge in Color
Best Photo Lessons
Photography Course
Production Now
nyvs
Learn About Film
Film School Online
5. DRAWING & PAINTING
Enliighten
Ctrl+Paint
ArtGraphica
Google Cultural Institute
Drawspace
DragoArt
WetCanvas
6. INSTRUMENTS & MUSIC THEORY
Music Theory
Teoria
Music Theory Videos
Furmanczyk Academy of Music
Dave Conservatoire
Petrucci Music Library
Justin Guitar
Guitar Lessons
Piano Lessons
Zebra Keys
Play Bass Now
7. OTHER UNCATEGORIZED SKILLS
Investopedia
The Chess Website
Chesscademy
Chess.com
Spreeder
ReadSpeeder
First Aid for Free
First Aid Web
NHS Choices
Wolfram Demonstrations Project
Please feel free to add more learning focused websites.
*There are a lot more learning websites out there, but I picked the ones that are, as far as I’m aware, completely free and in my opinion the best/ most useful.
Io - Jupiter’s volcanic moon
Europa - Jupiter’s icy moon
Ganymede - Jupiter’s (and the solar system’s) largest moon
Callisto - Jupiter’s heavily cratered moon
Made using: Celestia, Screen2Gif & GIMP Based on: @spaceplasma‘s solar system gifs Profile sources: http://solarsystem.nasa.gov/planets, http://nssdc.gsfc.nasa.gov/planetary/factsheet/joviansatfact.html
“4. Following your intuition will never get you as far as doing the math will. Coming up with a beautiful, powerful and compelling theory is the dream of many scientists worldwide, and has been for as long as there have been scientists. When Copernicus put forth his heliocentric model, it was attractive to many, but his circular orbits couldn’t explain the observations of the planets as well as Ptolemy’s epicycles – ugly as they were – did. Some 50 years later, Johannes Kepler built upon Copernicus’ idea and put forth his Mysterium Cosmographicum: a series of nested spheres whose ratios could explain the orbits of the planets. Except, the data didn’t fit right. When he did the math, the numbers didn’t add up.”
There are a lot of myths we have in our society about how the greatest of all scientific advances happened. We think about a lone genius, working outside the constraints of mainstream academia or mainstream thinking, working on something no one else works on. That hasn’t ever really been true, and yet there are actual lessons – valuable ones – to be learned from observing scientists throughout history. The greatest breakthroughs can only happen in the context of what’s already been discovered, and in that sense, our scientific knowledge base and our best new theories are a reflection of the very human endeavor of science. When Newton claimed he was standing on the shoulders of giants, it may have been his most brilliant realization of all, and it’s never been more true today.
Come learn these five vital lessons for yourself, and see if you can’t find some way to have them apply to your life!
Starfish larvae, like other microorganisms, use tiny hair-like cilia to move the fluid around them. By beating these cilia in opposite directions on different parts of their bodies, the larvae create vortices, as seen in the flow visualization above. The starfish larvae don’t use these vortices for swimming – to swim, you’d want to push all the fluid in the same direction. Instead the vortices help the larvae feed. The more vortices they create, the more it stirs the fluid around them and draws in algae from far away. The larvae actually switch gears regularly, using few vortices when they want to swim and more when they want to eat. Check out the full video below to see the full explanation and more beautiful footage. (Image/video credit: W. Gilpin et al.)
All the times science fiction became fact
I don’t usually go for these really-big-ads-disguised-as-infographics (Really? Sci-fi ink & toner?), but this one was too cool to pass up.
Unfortunately, no hoverboards yet. But we’ve still got 15 months before time runs out on that one:
Bonus: Why are some science fiction authors so good at predicting the future? Check out this episode of It’s Okay To Be Smart where I talk all about that:
(via io9)
Comet ISON appears to have broken up and mostly evaporated as it travelled around the Sun, but something has made it around. It will be seen how much and in what condition. (Source of images) UPDATE: It is now confirmed that the comet is gone. Rest in pieces, ISON!
“There actually is a nice result from this paper: it perhaps will cause a rethink of the standard likelihood analysis used by teams analyzing supernova data. It also shows just how incredible our data is: even with using none of our knowledge about the matter in the Universe or the flatness of space, we can still arrive at a better-than-3σ result supporting an accelerating Universe. But it also underscores something else that’s far more important. Even if all of the supernova data were thrown out and ignored, we have more than enough evidence at present to be extremely confident that the Universe is accelerating, and made of about 2/3 dark energy.”
Just a few days ago, a new paper was published in the journal Scientific Reports claiming that the evidence for acceleration from Type Ia supernovae was much flimsier than anyone gave it credit for. Rather than living up to the 5-sigma standard for scientific discovery, the authors claimed that there was only marginal, 3-sigma evidence for any sort of acceleration, despite having statistics that were ten times better than the original 1998 announcement. They claimed that an improved likelihood analysis combined with a rejection of all other priors explains why they obtained this result, and use it to cast doubt on not only the concordance model of cosmology, but on the awarding of the 2011 Nobel Prize for dark energy. Despite the sensational coverage this has gotten in the press, the team does quite a few things that are a tremendous disservice to the good science that has been done, and even a simplistic analysis clearly debunks their conclusions.
Dark energy and acceleration are real and here to stay. You owe it to yourself to find out why and how!
1976 … space station colonies
by x-ray delta one