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CRISPR babies: when will the world be ready?

mercredi 19 juin 2019 par Heidi Ledford
Nature, Published online: 19 June 2019; doi:10.1038/d41586-019-01906-zEfforts to make heritable changes to the human genome are fraught with uncertainty. Here’s what it would take to make the technique safe and acceptable.

Tiny LED could light up a computer that fits on a speck of dust

mercredi 19 juin 2019
Nature, Published online: 19 June 2019; doi:10.1038/d41586-019-01896-yUltra-efficient light sources provide optical communication signals even at very low power levels.

Build science in Africa

mercredi 19 juin 2019 par Anagaw Atickem, Nils Chr. Stenseth, Peter J. Fashing, Nga Nguyen, Colin A. Chapman, Afework Bekele, Addisu Mekonnen, Patrick A. Omeja, Urs Kalbitzer
Nature, Published online: 19 June 2019; doi:10.1038/d41586-019-01885-1To cope with climate change and population growth, the continent urgently needs more home-grown researchers, argue Anagaw Atickem, Nils Chr. Stenseth and colleagues.

The top 10 countries that dominate natural-sciences research

mercredi 19 juin 2019
Nature, Published online: 19 June 2019; doi:10.1038/d41586-019-01921-0The United States reigns as the colossus but China is taking up ever more space, squeezing out European stalwarts.

In rankings, size is not the whole story

mercredi 19 juin 2019 par Catherine Armitage
Nature, Published online: 19 June 2019; doi:10.1038/d41586-019-01919-8Renowned institutions reign over the research ranks, except when high-quality research is considered as a proportion of total research.

Large-scale chemical–genetics yields new M. tuberculosis inhibitor classes

mercredi 19 juin 2019 par Eachan O. Johnson, Emily LaVerriere, Emma Office, Mary Stanley, Elisabeth Meyer, Tomohiko Kawate, James E. Gomez, Rebecca E. Audette, Nirmalya Bandyopadhyay, Natalia Betancourt, Kayla Delano, Israel Da Silva, Joshua Davis, Christina Gallo, Michelle Gardner, Aaron J. Golas, Kristine M. Guinn, Sofia Kennedy, Rebecca Korn, Jennifer A. McConnell, Caitlin E. Moss, Kenan C. Murphy, Raymond M. Nietupski, Kadamba G. Papavinasasundaram, Jessica T. Pinkham, Paula A. Pino, Megan K. Proulx, Nadine Ruecker, Naomi Song, Matthew Thompson, Carolina Trujillo, Shoko Wakabayashi, Joshua B. Wallach, Christopher Watson, Thomas R. Ioerger, Eric S. Lander, Brian K. Hubbard, Michael H. Serrano-Wu, Sabine Ehrt, Michael Fitzgerald, Eric J. Rubin, Christopher M. Sassetti, Dirk Schnappinger, Deborah T. Hung
Nature, Published online: 19 June 2019; doi:10.1038/s41586-019-1315-zA high-throughput chemical–genetic screening approach for the discovery of targets and chemicals to treat Mycobacterium tuberculosis yields tenfold more hit compounds than conventional whole-cell screening (...)

Bizarre early life forms ate better when they ate together

mercredi 19 juin 2019
Nature, Published online: 19 June 2019; doi:10.1038/d41586-019-01935-8Simulations in a virtual flume tank suggest that primitive vase-shaped organisms were filter feeders.

Distinct modes of mitochondrial metabolism uncouple T cell differentiation and function

mercredi 19 juin 2019 par Will Bailis, Justin A. Shyer, Jun Zhao, Juan Carlos Garcia Canaveras, Fatimah J. Al Khazal, Rihao Qu, Holly R. Steach, Piotr Bielecki, Omair Khan, Ruaidhri Jackson, Yuval Kluger, Louis J. Maher III, Joshua Rabinowitz, Joe Craft, Richard A. Flavell
Nature, Published online: 19 June 2019; doi:10.1038/s41586-019-1311-3Genetic, pharmacological and metabolomics experiments reveal that the malate–aspartate shuttle and mitochondrial citrate export support the differentiation of mouse T helper 1 cells, whereas succinate dehydrogenase enforces (...)

Turbulent convective length scale in planetary cores

mercredi 19 juin 2019 par Céline Guervilly, Philippe Cardin, Nathanaël Schaeffer
Nature, Published online: 19 June 2019; doi:10.1038/s41586-019-1301-5Numerical modelling of rotating turbulent convective flows shows that the length scale of convection in planetary cores is set by the flow speed and not by the fluid (...)

Machine learning in electronic-quantum-matter imaging experiments

mercredi 19 juin 2019 par Yi Zhang, A. Mesaros, K. Fujita, S. D. Edkins, M. H. Hamidian, K. Ch’ng, H. Eisaki, S. Uchida, J. C. Séamus Davis, Ehsan Khatami, Eun-Ah Kim
Nature, Published online: 19 June 2019; doi:10.1038/s41586-019-1319-8A machine-learning approach is used to train artificial neural networks to analyse experimental scanning tunnelling microscopy image arrays of quantum materials.

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