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Vision datacrunching 1
So, I'm working on how much of the slurry default should be biased towards having vision problems. The relevant gene is 2 letters long, and is any combination of the following: {XxAaFfNn}. X for normal, A for astigmatism, F for farsighted, N for nearsighted.
According to google, about 75% of adult humans use some kind of vision correction. I'm going to guess it's slightly less common in trolls, due to what I will broadly refer to as selection pressure, so I'll aim for 40%. I made 10,000 sets of peepers, and narrowed it down to look only at this gene, and here's what my first try produced.
First, the very clearcut cases. 3930 or 39% had the XX gene, meaning perfect vision with no defects. Next, there were 119 NN, 2 Nn, 127 AA, and 51 FF -- or around 30% having a strong and definitive type of vision impairment. Now, I either need to find ways to interpret the remaining data in the way I want, or I need to change what data gets produced.
There were only 2 cases that contained a capital X and a capital vision-impairment, so I'll ignore those for now. The next biggest category is capital X followed by a different lowercase letter (Xa, Xf, Xn) -- there are 4864 of these, or 49%. Next, a lowercase letter followed by capital X -- there are only 589 of those, or 6%. Next, the mixed group -- with two vision impairment genes, where at leastone is lowercase. There's only 313 / 3% of those.
If X+lowercase produces perfect or near-perfect vision, that gives us 88% of the population having perfect vision. If we go lowercase+X doing that, we'll have 45% perfect vision. I want to keep the mixed cases as examples of bad eyesight, so I'm going to take that first option, and tweak the incidence of lowercase first letters up a bit. I'm also going to scatter lowercase X around, and see if that helps. Ready for second test.
As long as I'm here, I'll also check out how the mutant eye placement is going.
Looks like there's 54 or 5% of the group that have one or more spare eyes during grubhood, that they grow out of with their first pupation. Mostly on the back, a few on the front or tail, one on the head. I think around 50 of them will pass the cut, which seems fair for Alternia.
Of those with permanent extra eyes, I see 33 with one or more stray eyes on the face, three with specifically a forehead eye, and 8 with eyes on the back of the head. Those will probably make it just fine, as long as they can find partners during the season -- and as long as their hair doesn't bother their eyes too much. There's another 14 with stray eyes along their back or spine, which is more inconvenient, less immediately obvious, and potentially more useful. Being able to see behind you has advantages, and at least some of them will be able to find shirts that accentuate the eye in a good way. On a similar note, there's 4 with eyes on the chest / front of torso, which is less useful and slightly more offputting I think. Still, only a little awkward.
Slightly more awkward are the ones that have eyes on hands or other extremities. There's 4 "extremity" trolls, which could have them on tails or wings if they have any, or possibly on hands or feet. There's three with eyes on the back of the hands, which is probably passable and fine.
..but... now we're getting to the less viable zone. There's one with an eye on the palms, who will probably have a hard time holding weapons or other tools firmly. There's one with eyes on their fingertips, who will have a hard time using their hands for much of anything -- I think that one Could make it on some Beforuses, but definitely not Alternia. There's another four who have eyes at the tips of their grublegs, which will go away after first pupation -- if they make it that long. There's also six individuals that will have a malformation or loss of their primary two eyes during a pupation, so they'll have to deal with blindness either as a wriggler or an adult.
So... for stray eyes like this, out of a random sample of 10,000 trolls, we have 65 passable extra-eye mutations (0.65%), and 12 (0.12%) who will have significant problems. That seems pretty good. I'll compare which mutations came up how often in the next batch, as well.
Raw data below.
-----------------------------------------------------
{XX:3930}
{XF:2}
{Xa:1904}
{Xf:399}
{Xn:2561}
{aX:223}
{fX:163}
{nX:203}
{an:113}
{fa:1}
{fn:79}
{na:1}
{Nf:3}
{Af:3}
{Fa:60}
{Na:53}
{NN:119}
{Nn:2}
{AA:127}
{FF:51}
-----------------------------------------------------
{one stray on the back of the grub form}x40
{one stray on the face}x30
{one stray on the back of the body}x8
{one stray on the back of the head}x7
{one stray on the front of the grub form}x4
{one stray on the grubleg tips}x4
{one stray on the spine}x4
{one stray on the tail-grub form}x4
{one stray on the extremity}x3
{several strays on the face}x3
{several strays on the forehead}x2
{one stray on the back of the hands}x2
{one stray on the chest/ribcage}x2
{one stray on the front of the body}x2
{one stray on the fingertips}
{one stray on the forehead}
{one stray on the head in grub form}
{one stray on the palms}
{one stray on the torso/back}
{several strays on the back of the hands}
{several strays on the back of the head}
{several strays on the extremities}
{several strays on the front of the body}
{several strays on the front of the grub form}
{several strays on the torso/back}
{"--which will be lost after first pupation"}x6
-----------------------------------------------------
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Idle computers are helping hunt for Covid cure
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WASHINGTON: Gamers, bitcoin “miners” and companies large and small have teamed up for an unprecedented datacrunching effort that aims to harness idle computing power to accelerate research for a coronavirus treatment.
The projectled by computational biologists has effectively created the world’s most powerful supercomputer that can handle trillions of calculations needed to understand the…
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I'm freelancing on Data Science and I'm now starting my website, where I will include a presentation of myself and what I do, along with a blog and a portfolio.In order to make it easier to rank on Google, I'm thinking of including the word "data" in the domain name, and I want a .com extension. datasafari or datacrunch would have been perfect, but the .com is taken. From the domain name, I want to pass the idea that I do data exploration and take useful insights from data. I'm looking for suggestions for names, as I have been thinking for some days now, without being able to come up with something optimal. Thanks!
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Web Data Analist
Dit ga je doen: De E-commerce omgeving wordt op dit moment gebouwd en vraagt om een datacruncher die zich in kan leven in de foodprofessional. In deze omgeving bieden wij een catalogus aan van meer dan 60.000 food gerelateerde producten. We hebben meer dan 500.000 bezoekers per maand op deze... http://dlvr.it/Nrclk8
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Web Data Analist
Dit ga je doen: De E-commerce omgeving wordt op dit moment gebouwd en vraagt om een datacruncher die zich in kan leven in de foodprofessional. In deze omgeving bieden wij een catalogus aan van meer dan 60.000 food gerelateerde producten. We hebben meer dan 500.000 bezoekers per maand op deze... https://goo.gl/Q1lm7N
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Quantify my big self
Une Bonne partie des "oracles" sont déjà d'accord, l'année 2013 sera connectée certes mais surtout communicante. (Gartner ici et là).
Je vous en avait également parlé dans un précédent post à l'issu de la conférence "objets connectés en santé, et si on en parlait ?", organisée par Cap Digital. Pour mémoire, cette vidéo assez bluffante qui nous projetait dans un futur pas forcément si lointain.
Parmis les nombreuses possiblités offertes par ces objets communicants, le Quantified Self /la "quantification de soi" en bon français est un des sujets les plus avancés. Rappelez vous, François Xavier Cardi (@fxcardi) nous en avait parlé en prenant son propre "cas" comme exemple Dans le cadre de la conférence "datavisualisation aujourd'hui et demain"
Et ce n'est pas prêt de s'arrêter, tellement les possibilités de "moissonner" mais aussi et surtout d'exploiter ces données sont nombreuses comme illustré dans les 2 courtes vidéos ci dessous.
La 1ère nous présente le bracelet UP de chez Jawbone, qui après quelques imperfections de jeunesse nous reviens plein de potentiels et doté d'un très agréable design !
Comme mentionné dans l'article de Fred Cavazza :
"Pour le moment tous ces services requièrent le port d’un capteur plus ou moins gros (bracelet ou clip à fixer à votre pantalon). Mais nous pouvons envisager une évolution très prochaine où la taille du capteur va diminuer pour pouvoir être intégré aux objets de notre quotidien (collier, bague, bouton…)."
La seconde vidéo nous présente le blockbuster du domaine : le FUEL de chez Nike.
Une fois le seuil critique de consommation franchi pour ces capteurs embarqués intelligents très polyvalents, la phase la plus intéressante mais aussi la plus complexe à optimiser, pourra commencer : l'exploitation de cette masse (/mane !) incroyable de big data concernant les habitudes de vie (de tous les jours !) de plusieurs millions de personnes.
Les vrais challenges, qui vont arriver très vite, seront d'être capable de "cruncher" cette énorme masse de data et d'en exploiter le contenu de la manière la plus "intelligente" possible.
Etre capable de corréler et d'interpréter tous ces jeux de données provenant de capteurs différents, répondant à des normes différentes (?!!).
Apporter de la vraie valeur ajoutée visible et comprehensible par le grand public.
Mais ceci est une autre histoire ...
Pour aller plus loin
Sources
Terminauxalternatifs.fr de Fred Cavazza
online wall street journal
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