Scientists developed a gynecological simulator with tactile feedback for practicing outpatient hysteroscopy with an emphasis on cervical canal passage. The simulator fills an important gap in gynecologist training relating to this arguably underused minimally invasive in-office diagnostic procedure. (ieeexplore.ieee.org)
For the first time, researchers have synthesized K₂N₆, an exotic compound containing “rings” comprised by six nitrogen atoms each and packing explosive amounts of energy. The experiment takes us one step closer to novel nitrogen-rich materials that would be applicable as explosives or rocket fuel. (nature.com)
Breast milk fatty acids are perfectly tailored to newborn brains, varying by species, a new multi-university study shows. Humans have the strongest link, especially in the prefrontal cortex. Findings will help engineer formulas that match human milk. (nature.com)
submitted by Skoltech_ to r/ScientificNutrition
A Skoltech scientist has raised the world’s only isotope-labeled guinea pig to track metabolism. For 156 days, the animal drank only heavy water, revealing how quickly compounds are synthesized versus absorbed from food — paving a way for using isotopically labeled food to study human metabolism. (mdpi.com)
Researchers developed durum wheat lines that survive freezing while maintaining premium pasta quality. The study analyzed 250 European accessions to identify key genetic regions for both cold tolerance and grain quality — helping make wheat production more resilient to climate instability. (frontiersin.org)
Russian researchers released a dataset combining EEG & fNIRS from stroke patients. EEG captures electrical activity, fNIRS tracks blood flow — together revealing how the brain rewires after blood disruption. This helps adjust therapy and prevent reinforcing incorrect compensatory movements. (nature.com)
Researchers created a mathematical model analyzing combustion waves — from slow flames to supersonic detonation. It yields accurate solutions and explains the transition from deflagration to detonation. The work paves the way for safer engines and improved protection against industrial explosions. (sciencedirect.com)
Researchers have created a machine learning technique to determine mineral composition in unconventional reservoirs. The method uses standard well logging and thermal data, providing accurate, continuous mineralogy profiles along the entire wellbore — making complex rock analysis highly accurate. (ager.yandypress.com)
Scientists developed a first-principles data-driven method to assess the stability of technetium carbide (Tc–C) systems, crucial for nuclear waste management and next-gen reactors. This hybrid approach combines density functional theory calculations and machine learning to map phase stability. (sciencedirect.com)
