This problem is at the core of the most widely used method for predicting adaptation to future climate. Reposting in case some GEA (genotype-environment association) people missed original post. 🧪
Sargassum abundance in the Atlantic on the rise. What is it, where's it headed and how to track it in this StormCenter Short. @geocollaborate.bsky.social 🧪
www.youtube.com/shorts/LWL7K...
New blog post! 🚨
Laura Byrne presents DImodelsMulti, an R package that complements and extends the previously published DImodels. It enables the fitting of multivariate or repeated measures DI models in a user-friendly way 🌍 🧪
Read more here 👇
So many thoughts… 🧪⚒️🍌
🧪 We show this problem with turnover-based predictions in simulations described in our paper on #RDAforest. Solution: use boundaries from turnover-based predictions, but rely on direct predictions from #randomforest to infer states. doi.org/10.1111/1755...
Simulation showing that predictions based on turnover curves do not capture interactions between predictors, and assume monotonous increase of divergence across the range of each predictor.
🧪 #Landscape_genomics papers keep using turnover curves from #gradientforest to predict adaptation across landscape (as per Fitzpatrick and Keller 2015). Please don't! While this approach reconstructs *boundaries* between divergent states very well, it messes up the states themselves!
I and many of my colleagues would much prefer being called “nerd” rather than “dork”, if you please.
The Bureau of Vital Statistics is now calculating statistical confidence intervals for 100% population data. I guess they don't know that confidence intervals were created to let you know the chance of being wrong when generalizing from samples to populations. 🧪💡☠️ #Sociology #Population #Politics
Key Points Question Does acetaminophen use during pregnancy increase children's risk of neurodevelopmental disorders? Findings In this population-based study, models without sibling controls identified marginally increased risks of autism and attention-deficit/hyperactivity disorder (ADHD) associated with acetaminophen use during pregnancy. However, analyses of matched full sibling pairs found no evidence of increased risk of autism (hazard ratio, 0.98), ADHD (hazard ratio, 0.98), or intellectual disability (hazard ratio, 1.01) associated with acetaminophen use. Meaning Acetaminophen use during pregnancy was not associated with children's risk of autism, ADHD, or intellectual disability in sibling control analyses. This suggests that associations observed in other models may have been attributable to confounding. Abstract Importance Several studies suggest that acetaminophen (paracetamol) use during pregnancy may increase risk of neurodevelopmental disorders in children. If true, this would have substantial implications for management of pain and fever during pregnancy. Objective To examine the associations of acetaminophen use during pregnancy with children's risk of autism, attention-deficit/hyperactivity disorder (ADHD), and intellectual disability.
![Design, Setting, and Participants
This nationwide cohort study with sibling control analysis included a population-based sample of 2,480,797 children born in 1995 to 2019 in Sweden, with follow-up through December 31, 2021.
Exposure
Use of acetaminophen during pregnancy prospectively recorded from antenatal and prescription records.
Main Outcomes and Measures
Autism, ADHD, and intellectual disability based on International Classification of Diseases, Ninth Revision and International Classification of Diseases, Tenth Revision codes in health registers.
Results
In total, 185909 children (7.49%) were exposed to acetaminophen during pregnancy. Crude absolute risks at 10 years of age for those not exposed vs those exposed to acetaminophen were 1.33% vs 1.53% for autism, 2.46% vs 2.87% for ADHD, and 0.70% vs 0.82% for intellectual disability. In models without sibling control, ever-use vs no use of acetaminophen during pregnancy was associated with marginally increased risk of autism (hazard ratio [HR], 1.05 [95% CI, 1.02-1.08]; risk difference [RD] at 10 years of age, 0.09% [95% Cl,
-0.01% to 0.20%l), ADHD (HR, 1.07 [95% Cl, 1.05-1.10];
RD, 0.21% [95% Cl, 0.08%-0.34%]), and intellectual disability (HR, 1.05 [95% CI, 1.00-1.10]; RD, 0.04% [95% Cl, -0.04% to 0.12%l).
To address unobserved confounding, matched full sibling pairs were also analyzed. Sibling control analyses found no evidence that acetaminophen use during pregnancy was associated with autism (HR, 0.98 [95% Cl, 0.93-1.04]; RD, 0.02% [95% Cl, -0.14% to 0.18%l), ADHD (HR, 0.98 [95% Cl, 0.94-1.02]; RD, -0.02% [95% Cl, -0.21% to 0.15%l), or intellectual disability (HR, 1.01 195% Cl, 0.92-1.10]; RD, 0% [95% Cl, -0.10% to 0.13%1).](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:llgfbjvsqkaicezsf7mzjxr3/bafkreibynsudvwx2dm7aczkl7brwrdypnslhk2lsxd32oqvuczhio4ajku)
Design, Setting, and Participants This nationwide cohort study with sibling control analysis included a population-based sample of 2,480,797 children born in 1995 to 2019 in Sweden, with follow-up through December 31, 2021. Exposure Use of acetaminophen during pregnancy prospectively recorded from antenatal and prescription records. Main Outcomes and Measures Autism, ADHD, and intellectual disability based on International Classification of Diseases, Ninth Revision and International Classification of Diseases, Tenth Revision codes in health registers. Results In total, 185909 children (7.49%) were exposed to acetaminophen during pregnancy. Crude absolute risks at 10 years of age for those not exposed vs those exposed to acetaminophen were 1.33% vs 1.53% for autism, 2.46% vs 2.87% for ADHD, and 0.70% vs 0.82% for intellectual disability. In models without sibling control, ever-use vs no use of acetaminophen during pregnancy was associated with marginally increased risk of autism (hazard ratio [HR], 1.05 [95% CI, 1.02-1.08]; risk difference [RD] at 10 years of age, 0.09% [95% Cl, -0.01% to 0.20%l), ADHD (HR, 1.07 [95% Cl, 1.05-1.10]; RD, 0.21% [95% Cl, 0.08%-0.34%]), and intellectual disability (HR, 1.05 [95% CI, 1.00-1.10]; RD, 0.04% [95% Cl, -0.04% to 0.12%l). To address unobserved confounding, matched full sibling pairs were also analyzed. Sibling control analyses found no evidence that acetaminophen use during pregnancy was associated with autism (HR, 0.98 [95% Cl, 0.93-1.04]; RD, 0.02% [95% Cl, -0.14% to 0.18%l), ADHD (HR, 0.98 [95% Cl, 0.94-1.02]; RD, -0.02% [95% Cl, -0.21% to 0.15%l), or intellectual disability (HR, 1.01 195% Cl, 0.92-1.10]; RD, 0% [95% Cl, -0.10% to 0.13%1).
In short, acetaminophen exposure during pregnancy is not linked to the risk of developing autism, ADHD, or intellectual disability.
The study has been published in Journal of the American Medical Association (JAMA). YES, it is PEER-REVIEWED.
• jamanetwork.com/journals/jam...
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Hmm. I think I agree! Neat idea
🧪 scientists think as they write. Writing an abstract is a great way to force your brain connect the dots: what is the main take-home message, what is still missing. www.youtube.com/watch?v=fNss...
Trees, like kids, mostly grow at night. But while growth cycles of children have more to do with biology, trees grow at night because of physics.
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Not my horses…
But I have to point out that these have not stayed unchanged for millions of years!
doi.org/10.3389/fear...
“unicorns exist in the same way birds are dinosaurs” — my partner about rhinos.
i’m devastated to learn this #fact 🧪
The emergence of a chemical system capable of self-replication and evolution is a critical event in the origin of life.
This paper describes a ribozyme, a catalytic RNA molecule, able to do just that..
Fascinating stuff…
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www.science.org/doi/10.1126/...
Awesome figure. So simple, so powerful
Everyone needs to review 2 papers (or proposals) for every lead-authored paper they submit, calculated on a 2yr rolling window. 3 months of public shaming ensues if you do not review your share, and then you are not allowed to submit anything more until you catch up & pay interest (1 more review) 🧪
New cognitive impenetrability example just dropped
The title an author info reads: PANCREATIC EXTRACTS IN THE TREATMENT OF DIABETES MELLITUS PRELIMINARY RePoRT By F. G. BANTING AND C. H. BisT, Depl. of Physiology J. B. COLLIP, Dept. of Path. Chemistry W. R. CAMPELL AND A. A. FLETCHER, Dept. of Medicine, Unisersity of Toronto, and Toronto General Hospital
Banting, Best, Collip, et al announced initial results on the use of insulin to treat diabetes #OTD in 1922.
They later sold their patent to the University of Toronto for $1 each, hoping this would keep the lifesaving medication cheap and accessible. 🧪
So it is trained on human and mouse data… which species can it really predict? Any mammal would be (somewhat) circular since it is similar to training data. Can it predict Drosophila?
Kanzi, a language-trained bonobo (Pan paniscus), demonstrates the ability to engage in pretend play by consistently choosing a cup containing imaginary food or drink over one containing neither! 🧪
www.science.org/doi/full/10....
A vibrant, composite portrait of the brilliant Iranian mathematician Maryam Mirzakhani (1977–2017), the first woman and first Iranian to win the Fields Medal. She is shown in a close-up head-and-shoulders view, facing the camera with a gentle, thoughtful expression—short brown hair, bright blue eyes, and a calm smile. She wears a navy blue fleece over a teal/green collared shirt. Overlaid transparently behind and around her is a dense blackboard filled with intricate handwritten mathematical equations in white chalk, featuring complex expressions involving binomial coefficients (e.g., n! / (k!(n-k)!)), factorials, summations, powers, and terms suggestive of hypergeometric series or combinatorial identities. The equations partially surround and frame her face, symbolizing her deep immersion in advanced mathematics, particularly in hyperbolic geometry, Teichmüller theory, and dynamical systems, while evoking the creative, exploratory nature of her work as a Stanford professor and groundbreaking researcher.
Remembering Dr. Maryam Mirzakhani on #WorldCancerDay.
Dr. Mirzakhani was first woman to win the Fields Medal, the most prestigious award in #mathematics. She died in 2017 from #breastcancer at the age of 40.
stanford.io/2C0io2A #WomenInSTEM
🧪 (note: species this video features are nearly all extinct)
Shrews don't hibernate, they shrink to survive winter! 🐾🐹
HFSP-supported researchers reveal that seasonal changes in body size in shrews are driven by FOXO, linking metabolism, size, and lifespan. It's nature's own model of reversible shrinkage! 🧪
📰zurl.co/d1FUk
#sts #HFSPResearch
Being hydrophobic may not be so unusual in crustaceans. Obligate benthic species like Nebalia (Leptostraca) or common pond Ostracoda get stuck at water surface if they ever touch it (which they never do given their ecology). So it looks like hydrophobic is “default”?
The internal shell of Spirula is really something else!
I remember seeing this video for the first time and being gobsmacked by the little booger doing an underwater headstand, essentially balancing on the buoyant phragmocone hidden opposite the arms. 🦑🧪
🧪 Benchmarking the new MAT-classifier for identifying truly ancient microbial taxa against the "latest and greatest" aMeta pipeline: much faster and memory-efficient performance. @aranyad.bsky.social #aDNA
