Neuroscientists discovered evidence of published papers potentially using AI to fake analyses of public brain scan datasets, sparking research integrity concerns.
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Acute Vestibular Syndrome
Background and ObjectivesStroke is a major differential diagnosis in patients with acute vertigo/dizziness or imbalance. Current diagnostic algorithms such as head impulse test, gaze-evoked nystagmus, and test of skew are optimized for presentations with…
Lipid Infusion Enhances Sympathetic Transduction via Redox-Sensitive Pathways
BACKGROUND: Elevated circulating lipids increase oxidative stress and impair vascular function.
But their effects on sympathetic-vascular control in humans are not well understood.
We tested the hypothesis that intravenous lipid infusion enhances sympathetic-vascular.
Transduction and beat-to-beat arterial pressure variability in humans, and that these.
Undergraduate student may have solved puzzle regarding isolated galaxies that have stopped producing stars
An undergraduate astrophysics student at UC Berkeley has found three unusual galaxies—cataloged as Shapiro Dwarf Galaxies I, II and III. Each galaxy is far from other galaxies and has stopped making stars, a combination that is extremely rare. The discovery, published in The Astrophysical Journal, provides compelling observational evidence of a long-held astronomical theory.
“Dwarf galaxies exist both in isolation and as satellites around larger galaxies like our own Milky Way,” said Julian Shapiro, the study’s sole author, who conducted his research while still in high school. “In isolation, these galaxies are expected to be actively forming stars, as there are no larger galaxies to strip their star-forming gas, but the galaxies I discovered break this rule.
My paper argues that they may be among the first resolved ‘backsplash’ galaxy candidates, or galaxies that once passed close to a large neighbor, whose pressure removed their gas, before being flung outward.
A Strange New Time Crystal Emerges From Synchronized Vibrations
To us mortals, the flow of time goes one way.
Yesterday is gone, tomorrow is yet to come, and no matter how precisely and faithfully a clock marks the passing seconds, we can never return to a moment that has passed.
But for a time crystal, things are very different.
‘Smart bomb’ combination attacks triple-negative breast cancer in preclinical study
A new preclinical study suggests that attacking triple-negative breast cancer (TNBC) in two ways at once can kill cancer cells, slow tumor growth and limit the cancer’s spread. Researchers at The Ohio State University Comprehensive Cancer Center—Arthur G. James Cancer Hospital and Richard J. Solove Research Institute (OSUCCC—James) developed the approach. The findings could help guide new treatments for this hard-to-treat form of breast cancer.
“This study points to a possible new way to fight TNBC by pairing a targeted ‘smart bomb’ drug with a treatment that shuts down the cancer cells’ energy factories,” said Xiaoguang “Margaret” Liu, Ph.D., the study’s corresponding author and a member of the OSUCCC—James Translational Therapeutics Program. Liu also is a professor in Ohio State’s College of Engineering. “These results are an early step. If the approach continues to work in laboratory studies and clinical trials, it could lead to a more effective treatment with fewer side effects than current options.”
The findings were published Aug. 18, 2026, in Cell Reports Medicine. The study helps scientists better understand how triple-negative breast cancer may survive treatment. It suggests the cancer may be more vulnerable when one treatment delivers a drug directly to cancer cells and another cuts off their energy supply.
Machine learning reveals potential warning signal for polar vortex disruptions
The polar vortex, a swirling mass of cold air encircling the North Pole, is sometimes disrupted by sudden stratospheric warming (SSW) events, unleashing waves of frigid air that penetrate farther south than usual. Temperatures across North America and Europe drop precipitously when this happens, but such events remain hard to predict, meaning we can’t easily warn people when SSW is imminent.
Boscu and team used a machine learning (ML) technique to learn SSW behavior from a physics-based simulation that reproduces important atmospheric dynamics, accelerating polar vortex simulations. They went a step further by analyzing the ML model itself to understand how it represents various aspects of the polar vortex. The work is published in the Journal of Geophysical Research: Machine Learning and Computation.
The authors trained their model on the Holton-Mass model of stratospheric variability, which produces two metastable regimes for the polar vortex: one weak and one strong. A transition from the strong to the weak regime is what causes SSW events.
Tuning Flat Bands
Flat bands harbor exotic electron physics. A new way of realizing them could make the physics more accessible.
Steering electrons with extreme ultraviolet light—team achieves quantum coherent control
Light is one of the most powerful tools scientists have for probing matter. By interacting with electrons, light reveals how atoms, molecules and materials are structured and how they evolve in time. Highly energetic ultraviolet and X-ray photons are particularly attractive because they can access electrons located close to atomic nuclei, where each chemical element carries its own distinctive electronic fingerprint.
While researchers can control electrons with visible and infrared lasers, extending these techniques to the XUV and X-ray domains has proven far more challenging. The international research team has now brought a new tool to that demanding region of the spectrum.
Custom frame timing captures ultrafast events across five orders of magnitude in time
Most conventional methods of ultrafast photography use evenly spaced intervals in which images are taken, but new developments have shown how much can be left out of the story, especially when multiple timescales are involved.
Ultrafast events, such as a laser pulse or shock-wave emission, can be captured using ultrafast imaging. Conventional methods of imaging operate on microsecond (millionths of a second) or millisecond (thousandths of a second) timescales and usually have a set, evenly spaced—or mostly evenly spaced—interval in which images are taken. While this can work to capture some characteristics of the ultrafast event, not every important and observable dynamic happens at neatly spaced intervals.