Hello! I’m a Canadian #internist / #geriatrics desperately seeking a #medicine microblogging community now that the world is on fire. Interested in #aging, #palliative care, #frailty, #dementia, #neurology, and #alzheimers. Curious about #ai #artificialintelligence #ml #machinelearning in #healthcare. How do I find my people? :) 👋
If you ever find yourself thinking “would this graph be better in 3D” the answer is always no #Venn #Graph #VennDiagram #Data #cartoon #cartoons #comic #comics #instacomic #instacartoon #academia #science #research #errantscience
@richardknott @drahardja on the other hand, these companies want to make money, so rural areas are not their target...
Also most big cities in the US are not made for humans, they're made for cars in the first place...
#Bluesky, which directly competes with Twitter, has hired Twitter employees & all 3 Board members worked at Twitter. Bluesky has plainly been using Twitter IP, trade secrets & confidential information to accelerate its development. The attraction to its users is that it is basically a copycat clone of Twitter - but Musk has never made a peep about it. And never will.
That should tell anyone who has a neuron dedicated to critical thinking, something very important about Bluesky.
#Introduction. Hi everyone! The current state of #Twitter brought me here.
A little about me, I am a #PublicHealth scientist with a master's degree in Epidemiology. I am interested in #InfectiousDiseases, #Virology, and #Immunology, through the lens of #healthequity. I am a first year #PhD student in #Epidemiology and I am hoping to connect with other academics on mastodon.
If you're in #STEM, #academia, or a curious and avid knowledge seeker (like me) in any discipline let's connect!
The #ThreadsApp can’t launch in the EU because of EU data and consumer protections- which tells you about the level of surveillance bales in- but it has launched in the U.K., which tells you about the U.K.
I’m coming to love #Mastodon’s boost culture. Everybody’s all like, “Follow everyone! Boost it all!”
In the Blue Place, it felt like we were all competing for attention. Here, it’s more like we’re cooperating for attention.
At one level, that doesn’t make sense—everyone still has only so much attention to spend. But it *feels* better, and without The Algorithm enforcing power law, winner-take-all dynamics, the boost culture does seem to lift a lot of voices that were drowned out over there.
Having spent the last few days surround by the incredible NHS staff of my local hospital I honestly can’t imagine being without them and find it absolutely disgraceful how they have been treated and underfunded over consecutive UK governments.
Can anyone help with understanding how to best do #modelselection in the context of #neuralnetworks ? I'm trying to understand how to reduce #bias due to the selection of a particular test set.
More details here
Quoi?
'We find that at least half of TFs also bind RNA, doing so through a previously unrecognized domain with sequence and functional features analogous to the arginine-rich motif of the HIV transcriptional activator Tat.'
@Radical_EgoCom@kolektiva.social and then... https://www.panmacmillan.com/authors/shoji-morimoto/rental-person-who-does-nothing/9781035012800
Predicting Parkinson's disease up to 7 years before it is clinically diagnosed, and better than any known predictive risk factor, with a wrist accelerometer https://www.nature.com/articles/s41591-023-02440-2
So many good points in this piece by
@PhilippBayer
My highlight in this screenshot, but if you're vaguely involved in #academia, do have a read and think how it may apply to you. #academicchatter @academicchatter
https://genomic.social/@PhilippBayer/110644840476993836
@rebelrebel62 @helma @helenajambor Honestly, winning a Nobel prize has absolutely nothing to do with being a good human being and, dare I say, a good scientist either...
@helma @helenajambor Apparently there’s a phenomenon known as “Nobel Disease” https://en.wiktionary.org/wiki/Nobel_disease
Well worth reading this:
Don't get mad, get equal: putting an end to misogyny in science.
@pre perhaps we will return to a pre Facebook internet experience. Perhaps this will backfire and we will have less monoliths and more distributed niche forums. Does every interest need the same platform to build a community?
Today
* Reddit ends free API access.
* Twitter turns off anonymous reading.
* Youtube is talking about banning ad-blocking users.
The tech industry was living on cheep money and low interest rates, and now they're all afraid to let their precious content get used for AI training.
The walls are going up, the lawful corporate web is collapsing in on itself.
@simplemycelium @actuallyautistic
An academic perspective here
A few years ago I took a post-grad course in education and I perfectly understand what you're saying. Coming from a scientific background, I had to start reading academic literature about teaching and learning, which is full of buzzwords with little practical meaning. I was looking for practical solutions on how to teach and I was getting none of that.
Or so I thought at the time...
After a while I did realize that
a) Those words made sense (mostly) once I their meaning was explained to me. There is no shame in saying "I'm not familiar with this concept, could you please explain it in a simpler/more practical way?". That's also a quick test to see if the person you're speaking to actually means something or if they're making it up
b) if you read a scientific paper and you're not a scientist you'll also find plenty of buzzwords that make little sense, and I was probably guilty of that myself! So, I took this as an exercise to try and avoid buzzwords for the sake of using a buzzword, and to try to explain concepts more clearly.
c) some people like to overcomplicate things to show they're smart. I'm happy to let them do that, if that makes them happy. I'm not going to recommend their work to anyone. :)
Senior lecturer at Edinburgh University and Zhejiang-Edinburgh Joint Institute (ZJE).
Undergraduate Programme Coordinator, Biomedical Informatics at ZJE.
I teach #imageanalysis & #dataanalysis with #RStats & #python.
My research is focused on how #heterogeneous behaviour in #pituitary (and other) cells shapes their function as a population.
I'm also very interested in #reproducibility and #openscience.