You would probably need additional infrastructure to move goods on a large scale by rail. Right now trucks go directly from pick up location to drop-off location. With rail that likely wouldn't be possible. So you would either need trucks to get goods on and off the train, doubling the number of times items must be loaded/unloaded, or you need to move goods processing depots next to the tracks or send track to depots. Furthermore, if rail is adopted on a large scale as a distribution network then you will likely need more track and more switches. Thus, I can see various reasons why the initiatives have failed. It may not be just vested interests that are holding things back. Quite possible it's also more complicated than just "using the existing rail system."

Let me know when you find a solution. I've just moved to Switzerland and would love a good app to learn a little German. I doubt I'll be learning Swiss German from an app, though...

Yes, I know it still does that but it doesn't have the 2D grid and that was key to the way I used spaces. I don't want to use the mouse and click on an application and have it take me to whatever space had that application. I want to navigate right away to my chosen space with the keyboard and just keep working. The new implementation just got in the way, because it was a single row only. I have 6 spaces and takes too much paging back and forth to go between them when there are 6 in a row. It's also harder to remember what's where on a 1x6 than a 2x3.

The removal of spaces was a totally idiotic move. The only reason I'm still using the new Apple OSes is because of TotalSpaces, which brings back the functionality.

Just one more turn...

No he didn't . You just didn't understand what he said.

Of course this happens. If your OS isn't up to date and you try installing a package from outside of the repository then things like this can indeed occur from time to time. Happened to me a couple of days ago. The fastest method for dealing with this (at least for me) is to update the whole OS.

These aren't "histological details". Histology is done on dead tissue, whereas these researchers are imaging neurons in living animals and are seeing cells sprout new connections when animals learn. This was suspected, but it's quite another thing to see it happening before your eyes. The whole point of science is to test things you suspect; I don't understand your problem with this notion.

It's quite possible and very productive to study "complex mind processes" using in vivo imaging and elecrophysiology techniques. These approaches won't tell you what it feels like for the subject to perceive the world, for that you need literature, poetry, and art, but it's doing a pretty good job in helping us understand the mechanics through which the brain deconstructs sensory information and how it uses this information to make decisions and create memories.

Here's the full paper in PDF format: http://expirebox.com/download/...

Wow. Manufacturing company uses CNC machine to build stuff. Couldn't manage without it. Whatever next?

Sperm + Egg + Developmental Biology Awesomeness = PERSON What more printing do you need? Just send the gametes.

A few examples are provided in TFA but it's all rather vague as to why R "beats" Python. I've been using R for years for fitting mixed effects linear models. It does this really well, it makes it easy to compare models, it's got all the cutting-edge stuff in it. The problem with R, however, is that it's shitty and unintuitive as a programming language. I do all my pre-processing in MATLAB and I only ever export to R when I have a final data frame that needs a moderately complicated statistical analysis.

This isn't my field, but I'll give an answer a shot. The more peripheral nervous system has a reputation for being better able to re-grow following damage than the more central nervous system. This fact has become contentious, though, and stem cells have more recently been found in the central brain (e.g. the hippocampus). The sensory neurons from the olfactory bulb re-grow constantly. The macular degeneration trials are encouraging. There is a good lay review here. I don't know to what degree central vision is restored or how well the original circuitry is repaired. The retina, whilst complex, has relatively simple organisation. With the exception of the optic nerve cells that go to the central brain, the connections are fairly short. These facts may contribute to it being a good target for this sort of therapy. If you have an injured spine then you will have damaged cells whose axons could be two feet long. These are the neurons that send motor information down from the brain and sensory information back up. The distance itself may be a big re-wiring challenge. Injecting stem cells into the central brain is currently bleeding edge pure research.

I'm a neuroscientist. As far as I know, the science is nowhere near the stage that something like this would stand reasonable odds of working for stroke damage in the brain. It's pretty much a false hope right now.

The lunar distance method was proposed before the marine chronometer was built. However, the required tables to predict the moon's position with sufficient accuracy didn't exist until later. The lunar distance method was never widely used, as far as I know, because the process for determine longitude at sea using the moon was very time consuming (a couple of hours at least) and error prone.