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Updates every hour. Last Updated: 19-Oct-2026 19:16 ET (19-Oct-2026 23:16 GMT/UTC)
Where is the northernmost boundary of the southeastward extrusion in the southeastern Tibetan Plateau?
Science China PressIt is widely recognized that the southern part of the southeastern Tibetan Plateau has experienced significant southeastward extrusion since the Late Eocene. However, recent paleomagnetic studies indicate that the northern part may have undergone northward motion, although the magnitude and timing of this motion remain debated. Paleomagnetic investigations of the Eocene Dongwang Formation red beds in the Deqin area, located in the central part of the southeastern Tibetan Plateau, suggest that this region was situated at 34.4°N during the Eocene and experienced no significant latitudinal displacement relative to Eurasia. Integrating regional structural geology and paleomagnetic data, differential north–south motion has occurred along the southeastern Tibetan Plateau since the Late Eocene: the southern part experienced significant southeastward extrusion, the northern part underwent only limited northward displacement, and the central Deqin area constitutes the northernmost boundary of Southeastward Extrusion. The overall motion was likely accomplished by clockwise rotation centered on the Deqin area.
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- Science China Earth Sciences
Model AniCD-L: Reveals the zonation of lithospheric anisotropy in the Sichuan–Yunnan region
Science China PressIn a recent study published in Science China Earth Sciences, researchers from the Research Group of Seismic Anisotropy and Deep Tectoncis, the Institute of Earthquake Forecasting, China Earthquake Administration, present a lithospheric azimuthal anisotropic model in the E margin and SE margin of Tibetan Plateau (model AniCD-L). The model reveals distinct north–south zonation of lithospheric anisotropy and provides evidence that the southwestern boundary of the South China block extends at least to the vicinity of the Red River Fault at the upper mantle scale. The model AniCD-L provides new seismological constraints on intracontinental deformation mechanisms associated with the India–Eurasia collision.
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- Science China Earth Sciences
Submicrometer focusing of isolated attosecond pulses opens a route to high-intensity attosecond science
Ultrafast Science- Journal
- Ultrafast Science
Novel photonics materials are needed to drive the second quantum revolution
ARC Centre of Excellence for Transformative Meta-Optical Systems- Funder
- Australian Research Council
Researcher describes two previously unknown insect species
University of Missouri-ColumbiaA University of Missouri entomologist, Robert Sites, discovered two previously unknown saucer bug species, Ctenipocoris sagittatus from Guyana and Venezuela and Ctenipocoris reticulatus from India, expanding scientific knowledge of global biodiversity. The findings highlight both the complexity of identifying these tiny aquatic insects and the vast amount of life that remains undiscovered in freshwater ecosystems around the world.
- Journal
- Zootaxa
The viral tipping point
Weizmann Institute of ScienceUntil now, virologists have addressed the infectious dose mainly at the level of the whole organism, but scientists from the laboratory of Prof. Noam Stern-Ginossar at the Weizmann Institute of Science have discovered that the fate of an individual infected cell, too, depends on the number of virions that enter it. In a study published in Nature Communications and focusing on herpesviruses, the researchers reveal that the cellular infectious dose determines whether a virus will become active in the cell or enter a dormant state. These findings pave the way for therapies that could control the outcome of infection.
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- Nature Communications
AI helps microscopes find the most informative nanoscale features
DOE/Oak Ridge National LaboratoryResearchers at Oak Ridge National Laboratory have developed SimuScan, an AI system that helps an atomic force microscope — a tool that maps surfaces at the scale of molecules — recognize meaningful features and decide where to look next. Trained on realistic, simulated images, it can reduce the need for expert manual control and make nanoscale imaging faster, more consistent, and better suited for automated, high-throughput research.
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- Nature Communications
- Funder
- U.S. Department of Energy
Researchers chart new course for AI-powered biomedical discoveries
University of Missouri-ColumbiaUniversity of Missouri researchers have published a major review of flow matching, an emerging AI approach that helps scientists model how biological systems change over time, offering new opportunities in drug discovery, precision medicine and disease research. The work highlights how flow matching could ultimately help create AI-powered “virtual cells” that accelerate biomedical breakthroughs and improve understanding of living systems.
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- Nature Machine Intelligence