Mastodawn

Assistant Professor
WVU Biochemistry & Molecular Medicine

See the full job description on jobRxiv: https://jobrxiv.org/job/wvu-biochemistry-molecular-medicine-27778-assistant-professor/

#metabolismresearch #visionscience #ScienceJobs #hiring #research
https://jobrxiv.org/job/wvu-biochemistry-molecular-medicine-27778-assistant-professor/?fsp_sid=12585

Assistant Professor

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Bich Nguyen 59m ago

"Asian American women are often seen as universally healthy, successful, and low-risk, with the 'model minority' myth extending to our health, as well. We’re associated with longer life expectancies, lower mortality rates, and healthier lifestyles. But this polished image hides a dangerous reality: we are routinely overlooked by the healthcare system."

https://www.womenshealthmag.com/health/a71422793/asian-american-health-invisibility/

#healthcare #aapi #aanhpi #WomensHealth #biomedical #research #community #advocacy

Why Asian American Women Keep Falling Through Medicine’s Blind Spots

“We are not just misunderstood in healthcare—we are often rendered invisible within it.”

Women's Health

CBC Toronto 3h ago

Charity bike ride along the DVP, Gardiner raises funds for dementia research
The Bike for Brain Health charity ride took place along the Don Valley Parkway and the Gardiner Expressway Sunday for it's fifth year. The ride raised critical funds for dementia research. CBC Toronto caught up with some of this year's participants.
https://www.cbc.ca/player/play/9.7218565?cmp=rss

Kat Kimbriel 3h ago

Research shared among nations and universities worldwide can create wonderful things. #Cancer #research

https://www.theguardian.com/science/2026/may/30/cancer-jab-can-eradicate-entire-tumours-in-patients-trial-shows

Cancer jab can eradicate entire tumours in patients, trial shows

Jab brought ‘unprecedentedly strong responses’ in patients whose disease had become resistant to chemotherapy and immunotherapy

The Guardian

MottG 4h ago

"The Deterministic Horizon:
Impossibility Results as Design
Specifications for Trustworthy AI
Systems"

This Ph.D. thesis shows that fundamental limits, from Turing & Arrow to the No Free Lunch theorems, shape what computation can do. This thesis turns such impossibility results from curiosities into design rules. Its flagship result proves an accuracy ceiling set by architecture alone.

https://arxiv.org/abs/2605.23024

#research #math #AI #tech

The Deterministic Horizon: Impossibility Results as Design Specifications for Trustworthy AI Systems

Large language models now write software, draft legal documents, and produce clinical notes, yet fundamental limits, from Turing and Arrow to the No Free Lunch theorems, shape what computation can do. This thesis turns such impossibility results from curiosities into design rules. Its flagship result proves an accuracy ceiling set by architecture alone: past a critical reasoning depth, no amount of training moves it, at any adapter rank, sample size, or loss function. Computable before deployment from layer count and embedding width, this Deterministic Horizon is measured between nineteen and thirty-one across twelve transformer architectures, and fine-tuning on optimal-length traces recovers under four percentage points. The mechanism is a capacity invariant of the residual stream, and an information-theoretic conversion yields super-exponential accuracy decay past the horizon. An unconditional circuit-complexity lower bound for modular exponentiation against constant-depth prime-modulus circuits complements this result. The same argument recasts across subfields: preference learning under any misspecified model jumps discontinuously in sample complexity; multi-stage retrieval pipelines require at least as many independent metrics as stages; standard truthful auctions fail for agents with prompt-dependent valuations; and zero-knowledge verification of neural inference pays a measured overhead of one hundred ten to one hundred ninety times per non-linear activation. Together these form a catalogue of sixteen specifications, each pairing a computable boundary, a quantified violation cost, and a constructive design rule: two compositions are proved, one pairing is an honest obstruction, and four remain open. The impossibility-specification methodology is offered for the generative research programme that trustworthy AI may need. Every fundamental limit of AI is also a design rule.

arXiv.org