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Mechanisms behind the surprising observation of supra-thermal ions in NIF's fusion burning plasmas.
Sci Bull (Beijing)
December 2024
Key Laboratory for Laser Plasmas and Department of Physics and Astronomy, Collaborative Innovation Center of IFSA (CICIFSA), Shanghai Jiao Tong University, Shanghai 200240, China; Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China. Electronic address:
Although ignition had been achieved at the National Ignition Facility (NIF), recent observations of the experiments indicate novel physics that beyond theoretical predictions emerge, e.g., the neutron analysis of experiments has revealed deviations from the Maxwellian distributions in ion relative kinetic energies of burning plasmas, with the surprising emergence of supra-thermal deuterium and tritium (DT) ions that fall outside the predictions of macroscopic statistical hydrodynamic models.
View Article and Find Full Text PDFAn intragenic duplication in the AFF2 gene associated with Cornelia de Lange syndrome phenotype.
Front Genet
November 2024
Department of Pharmacology and Physiology, Unit of Clinical Genetics and Functional Genomics, School of Medicine, University of Zaragoza, CIBERER-GCV02 and IIS-Aragon, Zaragoza, Spain.
Article Synopsis
- - Cornelia de Lange syndrome (CdLS) is a rare genetic disorder that impacts physical development and cognitive abilities, primarily caused by mutations in genes linked to the cohesin complex, though many cases remain undiagnosed.
- - The study presents a family case where multiple members have an intragenic duplication in the AFF2 gene, identified using advanced genomic technologies like high-resolution array Comparative Genomic Hybridization and next-generation sequencing.
- - The research shows a clear correlation between the AFF2 gene mutation and the CdLS phenotype, with the affected individuals displaying significant changes in gene expression and X-inactivation patterns compared to an unaffected relative, suggesting that AFF2 should be included in molecular diagnosis for CdLS.
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- * 180 patients were photographed displaying various emotions, and a Convolutional Neural Network (CNN) system evaluated these images to determine expression recognition accuracy post-injection.
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