I put all the modifiers on the thumbs. so meta and mac option need to be mapped, and I put a control key on each thumb, space, backspace and newline. so all chords are 1 or 2 thumbs plus a normal key.
I guess that leaves 3 on the thumbs unused ... I should look at that
DISCLAIMER: Do this to access your game saves. Steam will not download missing compatibility but instead reinstall your games. Be sure to grab the saves beforehand.
Follow up, decided to tackle it on my lunch break. I had issues but the tutorial worked. All that tutorial does is help you mount NTFS on your Linux OS on startup automatically. Once you do that you're good to go.
The misnomer is adding the second library. The steam UI only lets you change the folder in the currently existing libraries (Settings -> Downloads -> Steam Library Folders is wrong). Instead try to install a game that you know is on that drive. When the game install prompt pulls up, for game install location select the dropdown and "Add new steam library", pull up your file explorer and set it to the `Steam` folder on your ntfs drive. After that it will search for common files for that game and install anything missing. It will also remove anything Windows specific. The process will also identify the rest of the games on the drive but will prompt for install when you try to play. I hope that helps!
Obviously your Proton matching mileage may vary per game!
That's a different problem, all together unfortunately. I think it is possible but I have not yet migrated that far. I am still in the "choosing a distro" stage (I'm enjoying Pop_OS so far but we'll see). I have read in some comments elsewhere that Steam will download the correct binaries if you can point to the library.
Your link is missing a `/` between `Proton` and `wiki` btw.
This was the first paper to experimentally demonstrate the use double-crossover (DX) DNA tiles to implement a 1D cellular automata, namely Sierpinski patterns. Hence, a new type of crystal, called algorithmic crystals were born. Here the error rate was between 1% to 10%. In a subsequent work in collaboration with Erik Winfree, we're trying to reduce the error rate of these types of DNA computation models.
I work in the field (DNA nanotechnology) and a question I often get asked is, "When are DNA computers going to replace silicon based computers?" The answer is that that's highly unlikely to happen. They both have their strengths and drawbacks and their own domains. For instance, DNA computing will probably never match the computation speed of silicon based computing since in order for DNA to compute,chemical reactions such as DNA hybridization or dissociation with their complementary counterparts must occur (which is very slow compared to manipulating electron flow). Also, the error rate using DNA is pretty high, e.g., for DNA computing using double-crossover tiles (which is mathematically equivalent to Turing-universal Wang tiles) implementing an XOR logic cellular automata, the best error rate is currently roughly on the order of ~0.1%. Two of the greatest strengths of DNA computation are its energy efficiency and massive parallelism. A microtube containing just 100 ul of DNA solution can have roughly 10^17 or 10^18 strands of DNA working in parallel. Lastly, it may be easier to get computing DNA nanomachines to work /in vivo/ or inside cells as opposed to silicon based nanomachines.
can you expound on energy efficiency? How much energy does it take to chemically synthesize the dNTPs required to do the equivalent of moving a bit and how does that compare to, say moving an electrons in a bit from SSD to cpu and back?
Good question. The second law of thermodynamics dictates a theoretical maximum of 3.4 x 10^20 (irreversible) operations per joule (at 300 K or room temperature). I think there is an exemplary work which answers your question. In 1994, Len Adleman (the A in RSA) wrote a Science paper[0] where he used DNA to solve a directed Hamiltonian path problem. In that work, he calculated that in principle 1 joule is sufficient for ~2 x 10^19 operations using DNA. This number is remarkable in that it is extremely close to the theoretical maximum. Existing supercomputers (at the time the paper was written) execute at most 10^9 operations per joule. He goes on to say that "the energy consumed during other parts of the molecular computation, such as oligonucleotide synthesis and PCR, should also be small in comparison to that consumed by current supercomputers".
[0] L. Adleman, "Molecular Computation of Solutions to Combinatorial Problems", Science 266, 1022 (1994)
Nucleic acid computation vs electronic computation is rather like SpaceX vs traditional rocketry, in that in traditional rocketry you have to build your entire infrastructure and medium from raw materials each time you want to do a new launch.
Adelman is right that process of oligo synthesis is energy cheap and amortizable, but he's not a chemist: the dNTPs themselves are not. A nucleotide triphosphate is not an easy molecule to make by virtue if their instability, and their usefulness derives from their instability.
I think you're confusing the energy efficiency of computation and the energy needed to create the elements which perform the computation. The initial comment refers to the former whereas you're asking about the latter. Your question, "How much energy does it take to chemically synthesize the dNTPs required to do the equivalent of moving a bit..." is not an appropriate analogy because synthesizing dNTPs (energy needed to create computing elements) is not analogous to "moving a bit" (energy needed to perform a computation). It's like comparing how much energy is needed to manufacture a hard disk and how much energy is needed to read/write to and from the hard disk. It's a meaningless comparison.
You only have to make DNA once. If you actually wanted to make a sensible comparison, then the question you should be asking is, "How much energy does it take to manufacture a silicon based computing element (such as transistors or CPUs) as opposed to an analogous DNA computing element?" But again, this has no relevance to the computational energy efficiency of the element.
you only have to make DNA once per task, that's correct. You don't need to build a new hard drive or a GPU each time you want to do, say, a gigaflop's worth of an ML experiment. It is reusable across tasks.
Also really fun would be writing your unit tests to make sure the DNA algorithm you've programmed was acutally correct.
Currently, DNA may not be a general purpose computing element as the examples you have given, but again this is beside the point you're trying to make, namely, the comparison between the energy efficiency of computation and the energy needed to create the elements which perform the computation. They are not comparable in any sensible way.
You're welcome to do that yourself, if you're so inclined. I doubt they would take your argument seriously though since you're not making any sensible comparisons.
Before Suneung, there were equally, if not more, grueling college entrance exams. I think the point the commentor is trying to make is that this type of education has been the fuel for Korea's social and economic rise.
And note, historically, that under earlier Korean dynasties from 958 CE Korean elites like their counterparts in China vied for official posts through a grueling set of state exams, collectively known as the "gwageo". The median age of passing the final phase was around 35 years in age, and with a very low rate of passing (14600 passers between 1393-1894, among many millions of aspirants over the centuries) this effectively meant that most members of the elite class spent long decades mastering the complex Confucian canon and wide range of poetic forms required for success. Some passers were in their 70s.
Below is problem 33 of this year's English exam. For the English section of the exam, there are a total of 45 questions; 17 listening comprehension (around 25 minutes) and 28 reading comprehension questions (around 45 minutes). Imagine yourself (if you're non-Korean) trying to comprehend something like this in a completely foreign language.
33.
Heritage is concerned with the ways in which very selective material artefacts,
mythologies, memories and traditions become resources for the present. The
contents, interpretations and representations of the resource are selected
according to the demands of the present; an imagined past provides resources
for a heritage that is to be passed onto an imagined future. It follows too
that the meanings and functions of memory and tradition are defined in the
present. Further, heritage is more concerned with meanings than material
artefacts. It is the former that give value, either cultural or financial, to
the latter and explain why they have been selected from the near infinity of
the past. In turn, they may later be discarded as the demands of present
societies change, or even, as is presently occurring in the former Eastern
Europe, when pasts have to be reinvented to reflect new presents. Thus heritage
is __________________. [3 points]
① about preserving universal cultural values
② a mirror reflecting the artefacts of the past
③ neither concerned with the present nor the future
④ as much about forgetting as remembering the past
⑤ a collection of memories and traditions of a society
It's questions like this that make me glad I don't take standardized tests anymore.
When I took the GREs in 2008, I received a 480 on the verbal section (which was bad given I was applying to PhD programs), and a perfect 6/6 on the written section. I actually didn't qualify for a handful of programs, because they required ESL students to achieve 500 or greater (so I was below what a non-english speaker needs to score, and I spoke english as a first language). So, somehow I was an excellent writer, but had poor verbal skills.
It's remarkable that we test people against this style of language, both domestically in the US and abroad, given the unlikeliness someone will ever stumble across this type of prose. And, if you do, you should really ask the writer why they're trying to be so convoluted in their argument.
My guess as a non-native speaker (living in an english-speaking country) is 4, and the next best is 3. That's how I interpret the description above the answers. But the tricky part is that that the sentences are incredibly convoluted, and that the word might already have a slightly different definition for most people (like 5).
I guessed 4 as well. My take away from the passage was that despite what people think, what is often represented as heritage can be selective in nature. The clue was in the phrase "why they have been selected from the near infinity of the past".
While this is a good taste of Suneung, note that this problem is considered the most difficult one in this year's English exam. (The day after Suneung, major newspapers report the difficulty assessment of the test done by professional analysts. I read about this problem there.)
Yes, you're right. The self-assembly of the nanorobot is done using the same technique as in the video you linked. In fact, the speaker in the video, Paul Rothemund, is the person who first engineered this self-assembly technique called DNA origami. In his cover article in Nature (2006), where it was first published, you can get a sense of how intricate the folding technique is just by looking at the cover picture of the smiley face he made using DNA (http://www.nature.com/nature/journal/v440/n7082/index.html, the diameter of the smiley face shown here is roughly 100 nm wide).
No, there is no way to control it externally, nor does it have a mechanism for active movement. The DNA nanorobots move passively along with the blood flow and latches onto the tumors through their apatmer binding sites.
If you use org-mode, this is just one feature of an awesome full-blown bibliography management package called org-ref by John Kitchen (available on melpa or github). Exportation to LaTeX is just a couple of key strokes away. Check out its features from this short youtube video! https://www.youtube.com/watch?v=2t925KRBbFc
Org-ref is one of the most beautiful things that happened to the org-mode ecosystem IMO. It’s truly second to none in ease of use. Couple that with Helm fuzzy searching and any pdf/bibtex reference is a keystroke away. Absolutely worth a try!
Yes, you're right. There was a high level of commitment by the overwhelming
majority of the population (~80% of the population was in favor of impeachment
vs ~12% against), but the reason people kept showing up weekend after weekend
for the demonstrations was due to a lack of faith in all three branches of
government, i.e. it was to keep public pressure on the legislative, judicial,
and to a lesser extent the executive branches. The day the most people showed
up (2.32 million, Dec. 3rd, 2016) was the week before the parliament passed the
impeachment bill. People really wanted to express their determination and anger
as even some opposition party members were balking at the idea of impeaching
the president (we have 300 members of parliament, 200 votes were needed for the
bill to pass, and 234 voted in favor).
> Do you know if anything will be done or can be done to prevent that from
happening again?
My understanding is that in a democratic system, there is always the risk of
putting someone like Park (or a more dramatic example is Hitler) in power. A
sign of a well-functioning democracy is whether appropriate social mechanisms
exist so that people can freely exercise the power to take back and undo what
they think is a mistake. I think history shows the only thing that works to
prevent these kinds of mistakes is an informed public, educating the masses,
and taking an active role (however small) in social and political matters.
> How crooked is the system on Korea compared with the US?
During the past 10 years in Korea (which was under a conservative government),
transparency indices dropped dramatically across the board, e.g. social,
financial, political, freedom of press. Transparency International
(http://www.transparency.org/) puts out a report every year on government
corruption, and in 2016 Korea placed 52nd out of 176 countries (out of the 35
OECD countries Korea placed 29th). For comparison, the US placed 18th and the
UK 10th out of 176 countries (Denmark and New Zealand tied for the top spot for
being the least corrupt).
The charges ex-president Park faced in the impeachment trial (held in the
constitutional court) are different than what she will now be facing in a
criminal court. The constitutional court confirmed charges of extortion, abuse
of power, and leaking government secrets, which were the basis for upholding
the impeachment. Now, having been forced from power and no longer enjoying
immunity, the criminal court will decide whether she's criminally guilty of
these charges as well as bribery charges from Samsung, Hyundai, SK, Lotte, etc.
which carries a minimum of 10 years to a maximum sentence of life in prison.
Thank you in advance.