We set the strongest limits to date on the velocity-independent dark matter (DM)-proton cross section σ for DM masses m=10 keV to 100 GeV, using large-scale structure traced by the Lyman-alpha forest: e.g., a 95% lower limit σ<6×10^{-30} cm^{2}, for m=100 keV. Our results complement direct detection, which has limited sensitivity to sub-GeV DM. We use an emulator of cosmological simulations, combined with data from the smallest cosmological scales used to date, to model and search for the imprint of primordial DM-proton collisions. Cosmological bounds are improved by up to a factor of 25.
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http://dx.doi.org/10.1103/PhysRevLett.128.171301 | DOI Listing |
Sci Rep
January 2025
School of Foreign Languages, Quanzhou Normal University, Quanzhou, 362000, Fujian, China.
With the advancement of internet of things (IoT) and artificial intelligence (AI) technology, access to large-scale bilingual parallel data has become more efficient, thereby accelerating the development and application of machine translation. Given the increasing cultural exchanges between China and Japan, many scholars have begun to study the Chinese translation of Japanese waka poetry. Based on this, the study first explores the structure of waka and the current state of its Chinese translations, analyzing existing translation disputes and introducing a data collection method for waka using IoT.
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January 2025
Nanyang Technological University, Singapore, 639798, Singapore.
Although electric vehicles supplied through distributed generators (DGs) have been universally researched to reduce CO emissions, the accurate current sharing regarding islanded multi-bus DC charging stations considering three charging modes of electric vehicles, i.e., constant current mode, constant power mode and constant voltage mode, is rarely realized.
View Article and Find Full Text PDFNat Commun
January 2025
University of Pittsburgh, Department of Computer Science, Pittsburgh, PA, 15260, USA.
Reliable molecular property prediction is essential for various scientific endeavors and industrial applications, such as drug discovery. However, the data scarcity, combined with the highly non-linear causal relationships between physicochemical and biological properties and conventional molecular featurization schemes, complicates the development of robust molecular machine learning models. Self-supervised learning (SSL) has emerged as a popular solution, utilizing large-scale, unannotated molecular data to learn a foundational representation of chemical space that might be advantageous for downstream tasks.
View Article and Find Full Text PDFChaos
January 2025
CNRS-IRD-CONICET-UBA, Institut Franco-Argentin d'Études sur le Climat et ses Impacts (IRL 3351 IFAECI), C1428EGA CABA, Argentina.
Significant changes in a system's dynamics can be understood through modifications in the topological structure of its flow in phase space. In the Earth's climate system, such changes are often referred to as tipping points. One of the large-scale components that may pass a tipping point is the Atlantic Meridional Overturning Circulation.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Internal Medicine, Leiden University Medical Center, Leiden, The Netherlands.
Background: Systemic diseases are often associated with endothelial cell (EC) dysfunction. A key function of ECs is to maintain the barrier between the blood and the interstitial space. The integrity of the endothelial cell barrier is maintained by VE-Cadherin homophilic interactions between adjacent cells.
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