http://news.sciencemag.org/sciencenow/2013/01/why-petting-feels-good.html
*nade nade*
My new goal in life is to create genetically engineered girls with lots of these cells and a phenotype for being short.
30.1.13
26.1.13
過食性:アイドル症候群
(┓^ω^)┛ﾖｲｻﾖｲｻ (┓^ω^)┛ﾖｲｻﾖｲｻ (┓^ω^)┛ﾖｲｻﾖｲｻ (┓^ω^)┛ﾖｲｻﾖｲｻ
It's an okay fun song (ok we can give some credit to MAYU, yay MAYU), but really, I only posted this here so I can use that funky icon.
(┓^ω^)┛ﾖｲｻﾖｲｻ (┓^ω^)┛ﾖｲｻﾖｲｻ (┓^ω^)┛ﾖｲｻﾖｲｻ (┓^ω^)┛ﾖｲｻﾖｲｻ
I don't really know anything from the title except that it has to do with idols. In fact I don't even know what this funky smiley even means. Yuisa Yuisa? :V
Google seems to think the second part is "Idol Syndrome", I have no idea what that first part interprets into, google says "overeating something". ...:V? Overdose maybe?
...
WHO CARES, DON'T THINK ABOUT IT! (┓^ω^)┛ﾖｲｻﾖｲｻ (┓^ω^)┛ﾖｲｻﾖｲｻ (┓^ω^)┛ﾖｲｻﾖｲｻ (┓^ω^)┛ﾖｲｻﾖｲｻ
It's an okay fun song (ok we can give some credit to MAYU, yay MAYU), but really, I only posted this here so I can use that funky icon.
(┓^ω^)┛ﾖｲｻﾖｲｻ (┓^ω^)┛ﾖｲｻﾖｲｻ (┓^ω^)┛ﾖｲｻﾖｲｻ (┓^ω^)┛ﾖｲｻﾖｲｻ
I don't really know anything from the title except that it has to do with idols. In fact I don't even know what this funky smiley even means. Yuisa Yuisa? :V
Google seems to think the second part is "Idol Syndrome", I have no idea what that first part interprets into, google says "overeating something". ...:V? Overdose maybe?
...
WHO CARES, DON'T THINK ABOUT IT! (┓^ω^)┛ﾖｲｻﾖｲｻ (┓^ω^)┛ﾖｲｻﾖｲｻ (┓^ω^)┛ﾖｲｻﾖｲｻ (┓^ω^)┛ﾖｲｻﾖｲｻ
25.1.13
Review: SI of mGluR LTD
http://www.mitpressjournals.org/doi/abs/10.1162/NECO_a_00408
Ever since I started my PhD program I always wanted to do a weekly review, post on a science paper to keep me up to date, focused, and refine my scientific knowledge, reading, and writing skills.
Well, that never happened.
But this time I did write something up. I hope I can have enough motivation to do this again some time, though. Review/Summary of the paper is as follows.
=====
Long term effects on synapses are currently a hot topic in the neuroscience community as it is associated with learning and memory. Two of the major forms of long-term plasticity, known as Long Term Potentiation (LTP) and Long Term Depression (LTD), are studied extensively to understand its underlying mechanisms. In computational neuroscience, we try to use models to further our understanding of LTP and LTD; this paper is just one example of how one may try to go about this.
The schematic of this paper seems rather simple: conduct experiments which will induce LTD, then use System Identification to model it. Nevertheless the work required for such a paper is extensive. This model in particular focuses on mGluR-dependent LTD, in contrast to NMDA-dependent LTD (as is most other models currently available out there). For the experimental portion of this paper they use a chemical known as dihydroxyphenylglycine (DHPG) to stimulate mGluR-dependent LTD... I’ll assume that the references support that this is indeed mGluR-dependent.
For modeling they use a Systems Identification approach, a top-down method where they attempt to extract the dynamics of LTD using transfer functions. They used four different datasets with differing DHPG concentration, duration of DHPG application and sampling rates; the input was defined as the DHPG concentration while the output was the fEPSP (post synaptic current) slope percent change as a result of application.
The transfer function used is of particular interest to me as it is more abstract and thus difficult to grasp than the experimental portion. From the paper, it seems the focus of the transfer function is the polynomial expansion using a “backward shift operator” z^-1. Basic definition of a backward shift operator is:
z^-1 * Y(t) = Y(t-1)
essentially, then, z^-1 = Y(t-1)/Y(t), a ratio of the past inputs compared with the current input. The polynomial coefficients are then estimated depending on a range on order (z^-n represents nth order) and time delays (1-10). The best model was determined through 3 statistical criteria (R^2, Akaike, Young) which each have their own criterion and reason for use.
The results of this paper are simple yet significant. For lower sampling rate (0.0033 Hz)Applying DHPG for 5 minutes at 15 uM gives about 20% reduction in slope size; application for 15 min give about 30% reduction; and applying 30 uM DHPG for 25 min also gives, on average, 30% reduction, but the effects take longer to stabilize. The authors state that the models approximate an integrator, meaning that time of application for input (5, 15, or 25 minutes) changes the response of the system.
The paper then discusses the results of the higher sampling rate (0.033 Hz). It gives a reasoning on why higher sampling rate should be used, but raises the question as to why they did not use this higher sampling rate for their previous experiments, as well, and instead have the higher sampling rate to be separate from the results of the others.
In all their results the highest order with the best fit turns out to be 2nd order. Judging from how the pattern of LTD looks, this seems accurate since there does not appear to be complex nonlinearities in LTD. The paper goes on to describe LTD as a certain subprocesses (serial, parallel, feedback), second order meaning there are two subprocesses, one with fast time constants and one with slow time constants. The results they give suggest there could be either parallel and/or feedback structures for their model.
In terms of the subprocesses, there is still some lack of understanding on behalf of myself to completely know how the coefficients and time constants relate to them, therefore I may need to determine how to work with them better.
As the experiment itself was rather conceptually simple, the discussion doesn’t seem to add much more to what is already known. Dynamics of the system is briefly mentioned. Additionally, they present evidence to support the experimental protocols which they used and explain a bit more about the modeling results with how it compares to the currently know physiological processes.
Overall the paper is a useful reference to see how System Identification can be used to model physiological data and how to interpret the model. As for its significance and usage, it seems a bit too rudimentary to have such a model in a larger scale modeling scheme such as EONS. The conditions are too specific and the experimental data to support the model is not enough. Nevertheless such a model can prove useful, not only through analyzing the dynamics, but as more is learned about mGluR related LTD, it can serve as one of the stepping stones to bring the entire process of synaptic plasticity together, which would then serve use to EONS in the future.
Ever since I started my PhD program I always wanted to do a weekly review, post on a science paper to keep me up to date, focused, and refine my scientific knowledge, reading, and writing skills.
Well, that never happened.
But this time I did write something up. I hope I can have enough motivation to do this again some time, though. Review/Summary of the paper is as follows.
=====
Long term effects on synapses are currently a hot topic in the neuroscience community as it is associated with learning and memory. Two of the major forms of long-term plasticity, known as Long Term Potentiation (LTP) and Long Term Depression (LTD), are studied extensively to understand its underlying mechanisms. In computational neuroscience, we try to use models to further our understanding of LTP and LTD; this paper is just one example of how one may try to go about this.
The schematic of this paper seems rather simple: conduct experiments which will induce LTD, then use System Identification to model it. Nevertheless the work required for such a paper is extensive. This model in particular focuses on mGluR-dependent LTD, in contrast to NMDA-dependent LTD (as is most other models currently available out there). For the experimental portion of this paper they use a chemical known as dihydroxyphenylglycine (DHPG) to stimulate mGluR-dependent LTD... I’ll assume that the references support that this is indeed mGluR-dependent.
For modeling they use a Systems Identification approach, a top-down method where they attempt to extract the dynamics of LTD using transfer functions. They used four different datasets with differing DHPG concentration, duration of DHPG application and sampling rates; the input was defined as the DHPG concentration while the output was the fEPSP (post synaptic current) slope percent change as a result of application.
The transfer function used is of particular interest to me as it is more abstract and thus difficult to grasp than the experimental portion. From the paper, it seems the focus of the transfer function is the polynomial expansion using a “backward shift operator” z^-1. Basic definition of a backward shift operator is:
z^-1 * Y(t) = Y(t-1)
essentially, then, z^-1 = Y(t-1)/Y(t), a ratio of the past inputs compared with the current input. The polynomial coefficients are then estimated depending on a range on order (z^-n represents nth order) and time delays (1-10). The best model was determined through 3 statistical criteria (R^2, Akaike, Young) which each have their own criterion and reason for use.
The results of this paper are simple yet significant. For lower sampling rate (0.0033 Hz)Applying DHPG for 5 minutes at 15 uM gives about 20% reduction in slope size; application for 15 min give about 30% reduction; and applying 30 uM DHPG for 25 min also gives, on average, 30% reduction, but the effects take longer to stabilize. The authors state that the models approximate an integrator, meaning that time of application for input (5, 15, or 25 minutes) changes the response of the system.
The paper then discusses the results of the higher sampling rate (0.033 Hz). It gives a reasoning on why higher sampling rate should be used, but raises the question as to why they did not use this higher sampling rate for their previous experiments, as well, and instead have the higher sampling rate to be separate from the results of the others.
In all their results the highest order with the best fit turns out to be 2nd order. Judging from how the pattern of LTD looks, this seems accurate since there does not appear to be complex nonlinearities in LTD. The paper goes on to describe LTD as a certain subprocesses (serial, parallel, feedback), second order meaning there are two subprocesses, one with fast time constants and one with slow time constants. The results they give suggest there could be either parallel and/or feedback structures for their model.
In terms of the subprocesses, there is still some lack of understanding on behalf of myself to completely know how the coefficients and time constants relate to them, therefore I may need to determine how to work with them better.
As the experiment itself was rather conceptually simple, the discussion doesn’t seem to add much more to what is already known. Dynamics of the system is briefly mentioned. Additionally, they present evidence to support the experimental protocols which they used and explain a bit more about the modeling results with how it compares to the currently know physiological processes.
Overall the paper is a useful reference to see how System Identification can be used to model physiological data and how to interpret the model. As for its significance and usage, it seems a bit too rudimentary to have such a model in a larger scale modeling scheme such as EONS. The conditions are too specific and the experimental data to support the model is not enough. Nevertheless such a model can prove useful, not only through analyzing the dynamics, but as more is learned about mGluR related LTD, it can serve as one of the stepping stones to bring the entire process of synaptic plasticity together, which would then serve use to EONS in the future.
1.1.13
Undefined
Dat Miku Voice. O.O Nothing else to say about the song but WOW THAT VOICE SOUNDS SO DIFFERENT.
浮かれバケモノの朗らかな破綻
Alright that title is too long so I don't think I'd want to translate it right away.
This song, I don't really understand the lyrics, but that doesn't matter because the video is pretty well done. The singer is male and the song is okay, but what's really cool is the video and the story behind it. Just watching video makes you laugh and feel happy inside, it's something you don't really listen for the music but instead for the animation. There was a recent miku one like that before, but I really liked this one, including its designs.
I mean the girls in this video are so cuuute! :V
BTW the title on google translates it to: Collapse of cheerful monster spree. Uh, okay google. Cheerful monster spree it is. :V
16.12.12
ケッペキショウ
I haven't posted a vocaloid song in a while, it seems. I haven't really been listening to a lot of recent VOCALOID either. The more recent ones didn't sound good until this one showed up, although there was also this other really neat GUMI song which I think I never posted here... I should do that some time later. For now there's this one, and I happened to remember to post it this time. :V
The instrumentals in this one sound really cool, so that's why I like it. GUMI isn't too bad in singing this either. The video seems dramatic but I don't really know the meanings behind the theme as my Japanese is rather limited, so :V It's a neat song though so I can see why it reached nearly #1 not too long after it was released.
The tital says "keppeki shower"... eer I think. What? :V what does google say? "Fastidiousness show" I see. No, I don't.
12.12.12
Fujoshi Fish
http://news.sciencemag.org/sciencenow/2012/12/scienceshot-homosexual-fish-more.html
The fandom... it exists in other species.
The fandom... it exists in other species.
9.12.12
Brain Cells
http://www.nature.com/news/brain-cells-made-from-urine-1.11985
If this flies this is actually an incredible feat. Although its still funny to think about. Gives a new meaning to "mind in the gutter"! :V
If this flies this is actually an incredible feat. Although its still funny to think about. Gives a new meaning to "mind in the gutter"! :V
15.11.12
Rapping
http://www.nature.com/news/brain-scans-of-rappers-shed-light-on-creativity-1.11835
This guy gets a name on a paper for being a rapper.
THIS IS ACADEMIA! THIS IS RESEARCH! THIS IS SCIENCEEEE
This guy gets a name on a paper for being a rapper.
THIS IS ACADEMIA! THIS IS RESEARCH! THIS IS SCIENCEEEE
26.10.12
Gloss
http://www.nature.com/neuro/journal/v15/n11/full/nn.3221.html
I do have to admit, gloss does WONDERs to an CG artwork at times. I think they started putting that in a lot of anime too (see: Denpa Onna). Not entirely logical, though, but I guess it tickles the brain! Just like this paper suggests.
GLOSS!
I do have to admit, gloss does WONDERs to an CG artwork at times. I think they started putting that in a lot of anime too (see: Denpa Onna). Not entirely logical, though, but I guess it tickles the brain! Just like this paper suggests.
GLOSS!
12.10.12
9.10.12
The World Is Ending.
A PSP rhythm game based on GUMI is coming out.
http://www.siliconera.com/2012/10/09/report-new-vocaloid-game-featuring-megpoid-coming-to-psp-this-spring
http://www.siliconera.com/2012/10/09/report-new-vocaloid-game-featuring-megpoid-coming-to-psp-this-spring
6.10.12
命短し恋せよ乙女
I'm pretty surprised, a Teto song that sounds pretty good. Well, it could have been that there are lots of good Teto songs out there but not many of them reach the top 10, that's for sure. I do like the pacing and the art designs in this song. I think I'd like the lyrics too if I knew what it was talking about... :V
I think the title has to do something with life and love and young maidens... Something about short-lived maidens? :V
...Google Translate says "Gather ye rosebuds while ye may". Wait... what?
3.10.12
Atelier Meruru part ??? (I forgot already)
Pepped up Healing Salves are the best.
If there was one thing I regretted in Totori coming from Rorona, it was that I couldn't register the Pepped Up trait (because in Totori they don't let you register high level traits). You could get your chims to do it, but you might as well let your Chims make some better, high end items like N/A or Elixirs instead, so really the Pepped Up trait was lost through obscurity.
But, in Meruru they brought that back. In Meruru items have a tendency to be stupidly expensive so while you can register high end traits your items tend to be ridiculously expensive as well. But not if your item itself is relatively cheap. Healing salves is like the crappiest of all healing items, but that's all you really need if you ever get hit.
So now I get these awesome, autoheal-on-hit healing salves that heal for a reasonable amount of damage, then when my turn rolls around I recover even more damage from HP regen, then Convert lets me regen even more HP upon attacking... and then even if the enemy manages to kill me, I have auto-res so I don't really die...Endless HP is great!
...too bad this doesn't help when your enemy moves 5 turns in a row, choosing to heal 3k HP each turn... NEW PLAN NEEDED
If there was one thing I regretted in Totori coming from Rorona, it was that I couldn't register the Pepped Up trait (because in Totori they don't let you register high level traits). You could get your chims to do it, but you might as well let your Chims make some better, high end items like N/A or Elixirs instead, so really the Pepped Up trait was lost through obscurity.
But, in Meruru they brought that back. In Meruru items have a tendency to be stupidly expensive so while you can register high end traits your items tend to be ridiculously expensive as well. But not if your item itself is relatively cheap. Healing salves is like the crappiest of all healing items, but that's all you really need if you ever get hit.
So now I get these awesome, autoheal-on-hit healing salves that heal for a reasonable amount of damage, then when my turn rolls around I recover even more damage from HP regen, then Convert lets me regen even more HP upon attacking... and then even if the enemy manages to kill me, I have auto-res so I don't really die...Endless HP is great!
...too bad this doesn't help when your enemy moves 5 turns in a row, choosing to heal 3k HP each turn... NEW PLAN NEEDED
24.9.12
Atelier Meruru 2nd Playthrough Pt. 2
I may have said this before somewhere, but when Totori is on the topic of making homunculi she has the best and cutest face ever.
"e-he! I can't tell you yet!"
You truly wonder what's going on in her mind... :V
EDIT: Story parts aside, I have already begun the "overpowering chars to break the game" process. I notice that most people in the boards are going for speed such that enemies can't do a thing before they get obliterated by Meruru's team. because of the whole "doesn't use a part of your day if meruru doesn't get a turn" thing, this would make sense - pump the speed of your allies so that they obliterate everything before Meruru can even move. For the most part this is cool with the common enemies.
For bosses though, it's cooler to see their attacks and see how you can withstand them! So I'm going the defense and HP healing route. Sadly defense is mostly for non-elemental attacks only, and getting full elemental immunity for all 4 elements seems like a really difficult task. Luckily, we have HP regen! And luckily, we have a ton of traits for HP regen that can stack on top of each other! And then we have auto-KO recover (after one turn)! So essentially the only way an enemy can obliterate my team is if it launches some wide-scale attack that would OHKO anyone... well... lets hope that doesn't happen. But...
Totori's HP regen is looking freaking amazing right now, though. Heals for 78 HP per turn without items, with the mystery Ankh it heals for 100 HP per turn, then, pocketwatch for auto KO recovery... HAHAHA COME AT HER YOU GUYS, JUST TRY AND KILL HER, SHE'LL COME BACK ALIVE LIKE A ZOMBIE HAHAHA
Oh right we can also top it off with some Lively or Pepped Up trait and along with the convert function which absorbs HP from attack HAHAHA TOTORI IS UNSTOPPABLE HAHAHAHAHA
"e-he! I can't tell you yet!"
You truly wonder what's going on in her mind... :V
EDIT: Story parts aside, I have already begun the "overpowering chars to break the game" process. I notice that most people in the boards are going for speed such that enemies can't do a thing before they get obliterated by Meruru's team. because of the whole "doesn't use a part of your day if meruru doesn't get a turn" thing, this would make sense - pump the speed of your allies so that they obliterate everything before Meruru can even move. For the most part this is cool with the common enemies.
For bosses though, it's cooler to see their attacks and see how you can withstand them! So I'm going the defense and HP healing route. Sadly defense is mostly for non-elemental attacks only, and getting full elemental immunity for all 4 elements seems like a really difficult task. Luckily, we have HP regen! And luckily, we have a ton of traits for HP regen that can stack on top of each other! And then we have auto-KO recover (after one turn)! So essentially the only way an enemy can obliterate my team is if it launches some wide-scale attack that would OHKO anyone... well... lets hope that doesn't happen. But...
Totori's HP regen is looking freaking amazing right now, though. Heals for 78 HP per turn without items, with the mystery Ankh it heals for 100 HP per turn, then, pocketwatch for auto KO recovery... HAHAHA COME AT HER YOU GUYS, JUST TRY AND KILL HER, SHE'LL COME BACK ALIVE LIKE A ZOMBIE HAHAHA
Oh right we can also top it off with some Lively or Pepped Up trait and along with the convert function which absorbs HP from attack HAHAHA TOTORI IS UNSTOPPABLE HAHAHAHAHA
22.9.12
Atelier Meruru (2nd Playthrough)
THESE ENDING REQUIREMENTS HOLY CRAP WTF WTF WHAT WHAT WHY IS IT NOT JUST "increase char friendship" ;o; ;o; ;o;
Ren＊Ai
The song that starts in the middle.
No, seriously. :V Certainly gave me a "wait, what?" feeling since I was tabbed out to do other things, and suddenly the pace of the song changed.
It's not too bad of a song, but then again I don't think there's been a lot of good songs lately. There seems to be some theme of China and GUMI for whatever reason, which is interesting, but not that good sounding imo. Oh, there is also this rather realistic and slightly freaky video of Miku singing Disappearance... the eyes don't have enough saccades so the model doesn't turn out as realistic as it could have been (putting aside the unrealistically perfect proportions in other parts of the body). But that's not this video. This video is LOVE!
13.9.12
Hi-Res Printing
http://www.nature.com/nnano/journal/v7/n9/full/nnano.2012.128.html
They say " security, steganography, nanoscale optical filters and high-density spectrally encoded optical data storage"
I say QUALITY (color) DOUJINSHI
They say " security, steganography, nanoscale optical filters and high-density spectrally encoded optical data storage"
I say QUALITY (color) DOUJINSHI
10.9.12
Rinshan
Closed Kan on dora.
Flipped over 3m.
drew 4m, also dora.
was winning tile, as well as keeping me in tanyao.
Took a while to get my first rinshan, but looked to be a good one! :V
Hey look red dora too!
Subscribe to:
Posts (Atom)