Thiago Carvalho @cyrilpedia@qoto.org

"This series of prints was created between 2017 and 2021 and consists of several aquatints of stages, doors, caves or forests, where figures have been inserted through the technique of chine-collé, and colours added through viscosity printing.
The same plate receives different figures or cut-outs (found in old cards, magazines or books) which affect the perception of the space through their different graphic qualities and scale."

#Prints #Print #Printmaking #handmade #ArtMastodon #Aquatint

https://madalenaparreira.com/Aquatints

Last year I spoke with Marco Trizzino for @ReviewCommons

Trizzino came from a wet lab background before adopting computational approaches. This was his training tip for students & postdocs who want to learn bioinformatics:

"R is really important. Whichever field you work in, it doesn’t matter if you are a neuroscientist or a cancer biologist. There are a lot of resources to learn R, Coursera courses, workshops, and all the universities now have an R class. I would really recommend to everyone to learn R."

https://www.reviewcommons.org/blog/i-think-review-commons-is-the-future-an-interview-with-review-commons-author-marco-trizzino/

'The Minerva results hint at something that some researchers have long suspected: that training larger LLMs, and feeding them more data, could give them the ability, through pattern-recognition alone, to solve tasks that are supposed to require reasoning. If so, some AI researchers say that this ‘bigger is better’ strategy might provide a path to powerful AI.'

https://www.nature.com/articles/d41586-023-00641-w

If you're confused about death and decay, this #preprint is for you

"Here we provide heuristics as well as simple models that outline when the Williams prediction holds, why there is a ‘null model’ where extrinsic mortality does not change the evolution of senescence at all, and why it is also possible to expect the opposite of William’s prediction, where increased extrinsic mortality favours slower senescence."

https://www.biorxiv.org/content/10.1101/2022.01.27.478060v5

Hopefully the times they are a'changing:

"Such discussions indicate that there exists today both a familiarity with the older custom of senior academics taking credit for others’ work, and a strong distaste for the practice."

https://blogs.lse.ac.uk/impactofsocialsciences/2019/09/18/giving-credit-gender-and-the-hidden-labour-behind-academic-prestige/

Worse than useless:

"In the decades since, the military returned to the barracks, but its withdrawal was always conditional. The tenure of Jair Bolsonaro, a former army captain, brought the military back to the heart of government. He might have grudgingly left office, but Brazil’s military — privileged, preponderant and unaccountable — remains a constant threat to the country’s democracy."
cc @mucida
https://www.nytimes.com/2023/03/06/opinion/brazil-military-bolsonaro.html?smid=nytcore-ios-share&referringSource=articleShare

"We are generating more data in biology than ever. Reanalysis of datasets is increasingly common, and there is a welcome trend toward open data that seeks to remove all barriers (actual and perceived) to data reuse as well as to provide opportunities to assess the reproducibility of analyses."
@richardsever

https://www.nature.com/articles/s41592-023-01817-y