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#r0 ref
rennebright · 9 months
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調月リオ by Ref_ [Twitter/X] ※Illustration shared with permission from the artist. If you like this artwork please support the artist by visiting the source.
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peachypede · 6 months
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4. What's your least favorite part of the body to draw, if any?
Also, do you find hands difficult to draw? Or any part of a body difficult?
Ask meme is here
Tbh I kinda like drawing hands now? They used to be a hard part of the body to draw but I’ve kinda gotten the hang of them. It might be because I think hands are super pretty, whether they’re dainty or strong and calloused. Hands convey a lot about a character. Also uhhhh i just have a thing for monster hands x human hands
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^ Some doodle I did of @r0-boat’s werewolf oc Holt’s and my oc, Pecha’s hands because eeeee monster handssss
The most difficult part of the body for me to draw actually is the legs. They work so different than arms, so I usually do a lot of half bodies to avoid that lower portion but I should force myself to draw like a full page of legs from refs to get myself more comfy, lol.
That’s what I did with hands so it’ll probably work.
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echantedtoon · 8 months
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Warning: Some content within a few posts of theirs may contain NSFW/etc content.
Last piece of fanart for @r0-boat's bullfarm au. Behold! Farmhand Y/n. Just to clarify this isn't the cannon design for Y/n in any of their posts. This is just my take on Farmhand Y/n. They can look however you want to otherwise
Finally got the last piece done. Thank you Ro for all the reblogs and kind comments. I really enjoy your writing and takes on the characters although the bullfarm au and honestly all fantasy aus are my favorites. If there's any new additions to the au expect more art then.
P.S. I would've done Minatour Holt too from that one post but I couldn't find a ref of your OC and I didn't know if you'd be ok with that.
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gr4dient · 11 months
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DAY 3 OF MY ONE OC A DAY CHALLENGE WOOO
This time, we’ve got V!R0, a vocaloid/virus OC of mine!
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(Versions with and without text. :D)
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Ref ^
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Would Bayesian approaches improve COVID-19 forecasts?
Data Scientists worldwide are forecasting about COVID Mostly, they are doing excellent work. But still, most forecasts vary widely That’s not to say that they are inaccurate There are a few inherent reasons for this Firstly, the lack of domain knowledge in epidemiology and biostatistics. Most data scientists lack knowledge in epidemiology and biostatistics essential for COVID-19 forecasts But assuming that you do acquire the knowledge, most models are only as good as the data – and there is very little data. Hence, most models apply data from other contexts / geographies. For example, UK models are based on data from Italy There are four basic elements used to model most disease outbreaks: * The number of people each infected individual will subsequently infect in the early stages of the outbreak, the R0, * The duration of the outbreak * The case fatality ratio, the probability that an infected person dies and * The asymptomatic ratio All of these rely on data which is not perfect and not necessarily applicable across geographies Moreover, it depends on what features the model will emphasise In the UK, the two best known models (Imperial college and Oxford) emphasise different elements and come to different conclusions as to the spread(but both agree on social distancing) ref Bloomberg - It helps to understand what goes into Imperial and Oxford’s predictive coronavirus models, and what they can and can’t do. Hence, a model cannot really say where COVID-19 will explode next – even though it could tell us likely scenarios. For the ‘where next’ element – we need contact tracing to capture the data So, this all points to the need for data for models whichever way you look at it   With one exception Would a Bayesian approach yield better results under the circumstances? Isaac Faber – whose insights I recommend – says Modelling for the pandemic has shown that this debate should still be front and center. The frequentists are mostly in the spotlight advising world leaders. If you listen close you will hear a common refrain 'we just need more data.' This is, of course, the age-old problem of statistical significance. However, today, we aren't in a harmless lab study, these data are only realized through death. This, more than any other argument, shows how dangerous frequentist methods are in practice. The methods don't give you enough confidence when you need it the most. You need to wait for a sufficient pile of bodies. This probably contributed to why many gov'ts were slow to act; their advisors didn't have enough data to be confident. The Bayesian has no problem acting quickly with expert judgment (a prior belief) and small data. Want to join the Bayesians? Start here: Source Isaac Faber – linkedin This sounds like taking the familiar frequentist vs Bayesian debate post COVID I don’t know how accurate this line of thinking is .. but its certainly worth exploring Its also an excellent way to illustrate these two approaches from a problem-solving / teaching perspective   https://bit.ly/3czkBEY
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team-moraine · 7 years
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Franz Moraine Facial Scar Ref
As I’ve been drawing up Jubilee’s R0, it’s occurred to me that I didn’t post clear side/back ref of the scarring present on Franz’s face, so now the problem is solved. :’D The ref’s in different colour/opacity for each section so that you can where each part overlaps a little better.
Notes: - Where the burn mark intersects his beard, the hair has grown back as a raggedy grey/black. - His left ear has deformed from the scarring. He doesn’t use that side for the phone at all, and there may be signs he’s going deaf in that ear...... - The burn itself was mostly a glancing blow. It impacted enough to burn, but didn’t go too deep or wrap completely around the back of his head. Not to mention the area was covered in blizzard conditions, so he did get it on ice right away when he hit the snow-covered ground lol - I won’t be stressed out if anyone doesn’t draw the scars right. The ref’s there for those who like to be as accurate as they can. 
Hope this helps out with drawing Franz ~ 
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