Winnie S. H.

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Winnie S. H.

Winnie S. H.

@anaslaaa

Glycoinformatics #paleontology #polysaccharide #biomedicalinformatics Late Pleistocene and Cretaceous flora UCB/TAMU/TMU/KTH 🌎 Opinions are my own 🌓 ➯☀️

Katılım Nisan 2010
1.7K Takip Edilen417 Takipçiler
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Winnie S. H.
Winnie S. H.@anaslaaa·
I am pleased to announce our paper has been published in Carbohydrate Polymers. Thanks to all members of this excellent team, i look forward to working with you all again. sciencedirect.com/science/articl…
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Daniel Swain
Daniel Swain@Weather_West·
In case you missed it: My update on record-shattering March heatwave (which is returning this week across interior West), unprecedented March snowpack loss, & prospects for some relief (cooler temps and at least a brief period of precip) in early Apr was recorded (link below).
Daniel Swain@Weather_West

On Mon, Mar 23 at 2pm PT, I'll have another heatwave-focused livestream. I'll discuss the astonishing March heatwave (which will resurge this week), plus prospects for more substantial but temporary relief in form of cooler (& wetter?) early Apr pattern. youtube.com/live/yNA52Sriz…

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Andrew D. Huberman, Ph.D.
The new Huberman Lab episode is out: The Best Vitality & Health Protocols | Dr. Rhonda Patrick (@foundmyfitness) 0:00 Rhonda Patrick 2:40 Competition, Jumping Rope, Rope Flow 6:49 Rhonda's Exercise Routine, Cardiovascular & Resistance Training 12:30 Cognitive & Physical Benefits of Exercise, Serotonin & Impulse Control 14:40 Sponsors: Our Place & Lingo 17:03 Phones While Training? 18:45 Rhonda's Strength Training, Low-Reps, Modifications, Mental Resilience 27:00 Daily Protein Intake, Intermittent Fasting, Processed Carbohydrates 33:32 Lipopolysaccharide (LPS); Gut Permeability, Gluten; Cardiovascular Health 42:58 Sponsor: AG1 44:21 Tight Junctions, Gut, Neuroinflammation 47:26 L-glutamine, Immune System, Cancer Risk 54:55 N-acetylcysteine (NAC), Vitamin E; Antioxidant Balance, Reductive Stress 1:00:08 Starch, Tool: Bedtime Fast & Cardiovascular Health 1:03:36 Cortisol, Intermittent Fasting Benefits 1:08:09 Cortisol, Train Fasted?; Hormones, Visceral Fat 1:13:35 Visceral Fat, Perimenopause/Menopause, Insulin Resistance in Brain & Body 1:21:13 Sponsor: LMNT 1:22:33 Cortisol & Sleep 1:25:42 Intermittent Fasting, Metabolic Switch, Ketones, Muscle Loss? 1:36:47 Tools: Logic-Based Habits; Daily Metabolic Switch; Exercise, Autophagy 1:45:06 Exercise After Poor Sleep?; Training Breaks 1:52:47 Tool: "Exercise Snacks"; Sedentary Lifestyle & Cardiorespiratory Fitness 2:03:31 Sponsor: Function 2:05:16 Creatine, Dose, Resistance Training, Cognitive Function 2:17:43 Biology; Creatine; Supplement Safety 2:25:18 Omega-3s, Inflammation, Cancer Risk, Vitamin D; Trans Fat 2:36:52 Magnesium Threonate vs Bisglycinate, Sleep, Cognitive Benefit; Vitamin D 2:45:46 Supplement Types, Multivitamin, Coenzyme Q10, Urolithin A, Sulforaphane 2:55:10 Microplastics 2:57:26 Sponsor: Mateina 2:58:28 BPC-157, NMN, NR, Tool: Evaluating Supplements, Safety, Sources 3:06:28 L-Carnitine, Alpha-GPC, Nicotine, GABA & Ketogenic Diet 3:15:20 Nattokinase; Microplastics, Water Bottles; Seed Oils 3:22:21 Sauna, Creatine for Kids?, Bananas, Tool: Evaluating Studies 3:28:37 Zero-Cost Support, YouTube, Spotify & Apple Follow, Reviews & Feedback, Sponsors, Protocols Book, Social Media, Neural Network Newsletter Includes paid partnerships.
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Martin Picard
Martin Picard@MitoPsychoBio·
Today on The Science and Experience of Energy, @niroshajmurugan and I discuss how energy flows through the body to keep us alive. We use some examples to unpack the Energy Resistance Principle (ERP), giving us a way of understanding how energy moves us and everything in our lives. Without resistance, we wouldn't be alive. But with too much resistance, life gets tough, inefficient, and hard to sustain. We're fleshy biological circuits for the flow of electrons from food to oxygen. The ERP explains why our psychobiological systems must operate in a goldilocks zone of resistance. Things we do like exercising, eating, and feeling, all influence how resistance our organism imposes to the flow of energy. martinpicard.substack.com/erp
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Lex Fridman
Lex Fridman@lexfridman·
It was an honor to hang out with Jensen Huang, CEO of @nvidia, and do a long-form podcast with him. Really fun & fascinating technical deep-dive conversation on & off the mic. One of the most brilliant & thoughtful human beings I've ever met. NVIDIA is the most valuable company in the world by market cap and is the engine powering the AI revolution. Podcast probably out tomorrow (Monday) unless I get stuck in too many interesting conversations while running around in SF ;-) PS: I haven't checked my messages in days. Sorry for slow replies 🙏 Trying to stay deeply focused at in overwhelmingly intense time & barely hanging on. Love you all ❤️
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Daniel Swain
Daniel Swain@Weather_West·
Yet another day of record-shattering heat, and now it extends clear across the continental U.S. All-time monthly record high temperatures are occurring from the Desert Southwest eastward to the Mid-Atlantic today, with at least daily records being set from Pacific to Atlantic.
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Winnie S. H.
Winnie S. H.@anaslaaa·
In my current school, there is always at least one student/employee loudly sniffed behind me. It’s been for over a year. What I can do to notice school and get protections?
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Marinka Zitnik
Marinka Zitnik@marinkazitnik·
We have many medical foundation models. When should a clinician actually trust one? With @YingJin531 @wharton and @IntaeMoon @HarvardDBMI, we developed an approach that: - Act arm: Flags patients where clinicians can act on foundation model predictions with statistical guarantees - Deferral arm: Routes everyone else to confirmatory lab testing when the foundation model is not decision-ready @harvardmed @HarvardDBMI @broadinstitute 🧵👇
Ying Jin@YingJin531

Average accuracy of medical foundation models does not answer the operational question: Is this prediction reliable enough to act on for this patient, now? And what if not? This requires not only uncertainty quantification for AI predictions, but also mechanisms to turn UQ into actionable decisions. 📢 Excited to share StratCP, a two-step conformal inference mechanism that decides when to act/defer, and what to do next for deferred cases, given any AI model. medrxiv.org/content/10.648… StratCP has two stages: ✅Action arm: Selects "correct" predictions for immediate action with error control (e.g., 5%). ❓Deferral arm: Returns prediction sets that contain the true disease status for most (e.g., 95%) of uncertain cases to guide confirmatory testing or expert review. StratCP enables identifying - 🎯 Accurate AI disease classification, - ❤️‍🩹 Long survivors based on time-to-event predictions, - 🧬 Rapid H&E-based AI diagnoses that can safely bypass costly genomics tests, and - 🩺 Suggest clinically coherent candidate labels A fun collaboration with the amazing @marinkazitnik @IntaeMoon ! #uncertainty #AI #conformalprediction #medicalAI #reliableAI

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NIH
NIH@NIH·
NIH researchers are exploring how immature cells called stem cells develop into specialized cells like heart or lung cells. This research on how cells keep their DNA organized during that specialization process could help advance the development of lab grown organs for thousands of people waiting on a transplant. Watch the full video to learn more:
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Rockefeller University
Rockefeller University@RockefellerUniv·
Rockefeller's @junyue_cao has created the most comprehensive atlas yet of how #aging affects thousands of cell subtypes. By profiling ~7 million individual cells, his lab has found which cells are most vulnerable to aging and what drives their decline: bit.ly/4bh9cdd
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Daniel Swain
Daniel Swain@Weather_West·
There has been an amazing outpouring of support for the National Center for Atmospheric Research (NCAR) amid its proposed dismantling from people, institutions, & companies all across the country. You, too, can help by sending feedback to NSF by Mar 13th: ametsoc.org/ams/advocacy-p…
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Alex Dimakis
Alex Dimakis@AlexGDimakis·
The BenchPress idea is delightfully simple application of compressed sensing on AI evals: Instead of running all the benchmarks, run a few (ideally the cheaper ones) and use these numbers as features, given to a model to predict the other benchmark numbers from these observations. Turns out the matrix of benchmarks is very low-rank and the matrix completion model works very well. My thought is that at the end of the day you still need to run all the benchmarks, but while iterating, this is a valuable trick to get more signal of what works and in which direction. You can also look at the low-rank directions you discover and understand how your model performs in these data-driven performance directions. They may be easy to name: ('Persistence, 'Coding comfort','Terminal use ability?' etc?)
Dimitris Papailiopoulos@DimitrisPapail

Running Terminal-Bench 2.0 on expensive frontier models costs $1K–$50K or more. BenchPress Predicts Gemini 3.1 Pro and Claude Opus 4.6's scores within ±2 points after 15 randomly selected benchmarks. .... using zero agentic benchmark data!! Cost: $0.

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PhD_Genie
PhD_Genie@PhD_Genie·
Me going after academic positions
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Alex Dimakis
Alex Dimakis@AlexGDimakis·
How to specialize a coding agent for your codebase? GEPA for Skills makes it easy to create a skills file for a repository: 1. Run Swe-Smith to create tasks on your repo. 2. Use GEPA optimize_anything to develop skills for your repo. 3. Done.
Shangyin Tan@ShangyinT

GEPA for skills is here! Introducing gskill, an automated pipeline to learn agent skills with @gepa_ai. With learned skills, we boost Claude Code’s repository task resolution rate to near-perfect levels, while making it 47% faster. Here's how we did it:

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