Our latest study is now published in @JPhysiol
In this paper we examined the skeletal muscle characteristics of competitive breath-hold divers 🤿
A true international team effort 🇸🇪🇨🇦🏴
You can access the paper here 👇
https://t.co/FvyECV8D2q
#freediving#apnea#physiology
@NancyMace The only fraudulent activity here is your covering up how you were endangering survivor info, attacking one of the few other survivors in Congress, & refusing to fix serious flaws that endanger victims without consent.
Fix it and people will vote YES. https://t.co/zBhiwLjvE2
🆕"HRV is most often used independently, without complementary data (e.g., ACC + blood pressure), & its interpretation is usually limited to a vague ‘sympathetic-vagal balance' "
👉N. Bourdillon @GregoireMillet1 et al, 2026 🇨🇭
📂@FrontSportsAL Open Access: https://t.co/4aFsc5Zkv6
😀🍾 Big, big news!! 🎉😱
➡️ I'm starting a new #dataviz project with @CedScherer
It's an interactive online course designed to turn you into a ggplot2 dataviz expert!
➡️ https://t.co/HxJb2xar9Z
Pre-launch until Sunday. If you like making charts with R, you'll love it!
New in @MSSEonline
Is the Classification of Athletes Based on Force-Velocity Profiling from Countermovement Jumps Influenced by the Choice of Method?
https://t.co/QHeiURBn2t
✨ Introducing a new #SOTA action recognition large multimodal language model: #LLaVAction!
Understanding human behavior requires recognizing actions—a challenging task given the complexity of behavior. Large multimodal language models (#MLLMs) offer a promising path forward, but how well do they perform in action recognition?
In our latest work - by @shaokaiyeah, Haozhe Qi, @TrackingPlumes and me | @EPFL_en - we rigorously evaluate and enhance MLLMs for action recognition in a real-world and challenging settings- egocentric views in the kitchen! 🧑🍳🔪🧽🤖
👀 We find that developing a multi-question-answer (#MQA) task serves as a valuable intermediate step in training (and evaluating) MLLMs for action understanding. Namely, we introduce EPIC-KITCHENS-100-MQA, a reformulation of the highly challenging EPIC-KITCHENS-100 dataset into a video multiple-choice question-answering task which allows for rigorous benchmarking of MLLMs in this task.
Next, we propose methods that substantially improve MLLM performance, and even achieving state-of-the-art results 🏆 (#SOTA) on the EPIC-KITCHENS-100 validation set 🔥✨.
Our approach also outperforms GPT-4o by 21 points in accuracy on EPIC-KITCHENS-100-MQA and demonstrates improvements across other action-related video benchmarks, including #VideoMME, #PerceptionTest, and #MVBench.
Our #LLaVAction-7B and -0.5B models can do #MQA and, critically, can do video captioning! 🙏🚀
As MLLMs become central to AI-driven video understanding in such real-world settings, ensuring their robustness in real-world tasks is critical. Excited to push the boundaries of multimodal AI further! 💪
🇨🇭We could not have done this without the amazing support of #SwissAI: the Swiss AI Initiative & the Swiss National Supercomputing Centre (#CSCS). @EPFL_AI_Center
#ProjectPage: https://t.co/BlmhrYKHXH
📝 #arXivPaper: https://t.co/yMOdYYw2Yv
👩💻💻 GitHub code & Google #ColabDemo: https://t.co/eO3LO7SOiJ
🤗 Hugging Face models (use with transformers): https://t.co/1V7Z83WE33
#AI #MultimodalLearning #ActionRecognition #EPICKITCHENS100 #MLLM #LLaVAction #VideoCaptioning #VLMs
New in @NatureComms from @robertdmeade and all-star cast 🤩:
Meta-analysis of heat-induced changes in cardiac function from over 400 laboratory-based heat exposure studies @HEPRU_uOttawa 👇
https://t.co/cNlB2V1seV
🔥 New Python library for #dataviz!
"morethemes" gives your graph a better theme in 1 line of code!
It currently offers 10 themes inspired by famous journals such as The Wall Street Journal, andThe Economist.
Learn more: https://t.co/4D4muqdkPw
Congrats @joseph_barbier !
Can creatine enhance post-exercise muscle glycogen synthesis?
Article: Creatine ingestion augments dietary carbohydrate mediated muscle glycogen supercompensation during the initial 24 h of recovery following prolonged exhaustive exercise in humans
Link: https://t.co/CA0j5LgVjg
👀 We hit a major milestone: the PR for DLC3 is merged into main, and rc7 is up for final testing: https://t.co/ISfD5rnOi5
- this is the most powerful, most new-user (+ new GUI features!) & ML expert friendly code, & the highest performance ... ready to #AnimalPose?! 🚀
The birth of exercise physiology - would recommend this piece to all current and aspiring ex physiologist, sport scientists, etc.
#physiology#exercise#sportscience#research https://t.co/37rAlkxpK2
Still open:
📢3-year (>£19k year) PhD at @ARU_Sport
🏹Topic: Establishing a sport-specific, evidence-based #archery classification system for athletes with a vision impairment
🔗Link: https://t.co/VUDbPSY2s6…
📅Deadline: 16/3/25
✉️ informal chat/Qs - [email protected]
Conférence Internationale : "Using Environmental Stressors to Achieve Peak Performance: From Evidence to Avenues to Explore" | INSEP https://t.co/rmSVR94cum
In our recent meta-analysis with trained athletes, did the athletes who improved their VO2max more also improve their endurance performance more?🤔
No! 😮
In this dataset, +1% change in VO2max was associated with only +0.04% change in TT performance. But why? 1/15🧵