New perovskite detector helps X-ray images stay clear at far lower dose
Peer-Reviewed Publication
Updates every hour. Last Updated: 24-Oct-2026 05:16 ET (24-Oct-2026 09:16 GMT/UTC)
Researchers developed a perovskite X-ray detector film that is more uniform through its thickness, reducing noisy signals that usually worsen at low radiation doses. The detector produced clear dental and biological X-ray images at much lower dose levels, suggesting a materials-based route toward safer medical imaging and large-scale screening.
A new study in Science Bulletin shows that fructooligosaccharide, a widely used prebiotic, may alleviate hyperuricemia by reshaping the gut microbiota. The study identifies a microbial relay in which Ligilactobacillus murinus promotes the enrichment of Anaerotruncus colihominis, a bacterium capable of degrading uric acid. The findings suggest a new mechanism by which prebiotics may regulate host metabolism through interbacterial interactions.
In an intracranial EEG study of 20 patients with drug-resistant epilepsy performing an N-back working memory task, researchers found that human white matter exhibits tract- and frequency-specific, load-dependent functional activity as well as selective cross-frequency coupling during working memory. These findings support the physiological relevance of white matter functional signals and their potential link to cognitive impairment in neurological and psychiatric disorders.
Researchers analyzed snow droughts in Xinjiang from 1980 to 2021 and classified them into warm-only, dry-only, and warm-dry types. The study identifies strong spatial heterogeneity, highlights the Kunlun Mountains as a major hotspot, and shows that warm-dry snow droughts increased markedly after 2000.
The anisotropy of the superconducting state and the superconducting fluctuations within the CuO₂ plane are directly related to the superconducting mechanism of copper oxide superconductors. Using high‑precision angle‑resolved magneto‑resistivity measurements, the coexistence and intertwining of nematic order and d-wave superconductive order are revealed within the superconducting fluctuation regime for the first time.
Researchers have developed a single machine-learning turbulence model that predicts a wide range of turbulent flows—without the manual zoning, switching, or tuning that conventional models require. Led by researchers at the University of Stuttgart, the work advances a long-sought goal in computational fluid dynamics: a unified turbulence model that handles many flow mechanisms within one framework. Details of the findings were published in National Science Review.
Hybrid nanomaterials (HNMs) have become more interesting to researchers for various optoelectronic and biological applications. In response, this investigation focuses on the impact of loading ratios of (0, 1 %, 3 %, and 5 %) of HNMs from graphene oxide (GO) and silicon nitride (Si3N4). HNMs are utilized to reinforce blended polymers, including polyethylene oxide (PEO), carboxymethyl cellulose (CMC), and nano-polyaniline (PANI) to fabricate (PEO100K–CMC–PANI/GO–Si3N4) using the developed sol–gel-ultrasonic procedure. X-ray diffraction revealed semi-crystalline behavior among all samples, while Fourier transform infrared spectroscopy showed strong physical interfacial interactions among the sample components. Meanwhile, field emission scanning electron and transmission electron microscopies showed a fine dispersion and a homogeneous matrix with significant changes. The optical absorption behavior revealed continuous high absorption peaks at 200–280-nm wavelengths, which strongly impacts (GO–Si3N4). Increases in concentration also strongly impact (GO–Si3N4), which results in an improved optical energy gap for the allowed and forbidden transitions from 3.5 eV for the blended polymer to 3 and 2.9 eV by increasing the HNM content. The contributions of HNMs notably enhance the ability to reduce the zones of the bacteria, especially Escherichia coli, from 18 to 26 mm. In effect, HNMs with a concentration higher than 5 % assist in inhibiting the growth of lung cancer (A549) cells. As such, these NCs present good optical behavior for multi-applications, such as biosensors and biological and optoelectronic devices.