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Ship-pollution cuts have an electrifying effect: less lightning at sea
IF 50.5 1区 综合性期刊
Nature Pub Date : 2025-03-21 DOI: 10.1038/d41586-025-00769-x
{"title":"Ship-pollution cuts have an electrifying effect: less lightning at sea","authors":"","doi":"10.1038/d41586-025-00769-x","DOIUrl":"10.1038/d41586-025-00769-x","url":null,"abstract":"A crackdown on sulfur in ship fuel is linked to a steep drop in thunderclouds in the Indian Ocean and South China Sea. A crackdown on sulfur in ship fuel is linked to a steep drop in thunderclouds in the Indian Ocean and South China Sea.","PeriodicalId":18787,"journal":{"name":"Nature","volume":"639 8056","pages":"841-841"},"PeriodicalIF":50.5,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/d41586-025-00769-x.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143666212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Author Correction: AI models collapse when trained on recursively generated data 作者更正:用递归生成的数据训练人工智能模型时会崩溃
IF 64.8 1区 综合性期刊
Nature Pub Date : 2025-03-21 DOI: 10.1038/s41586-025-08905-3
Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, Nicolas Papernot, Ross Anderson, Yarin Gal
{"title":"Author Correction: AI models collapse when trained on recursively generated data","authors":"Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, Nicolas Papernot, Ross Anderson, Yarin Gal","doi":"10.1038/s41586-025-08905-3","DOIUrl":"https://doi.org/10.1038/s41586-025-08905-3","url":null,"abstract":"<p>Correction to: <i>Nature</i> https://doi.org/10.1038/s41586-024-07566-y Published online 24 July 2024</p>","PeriodicalId":18787,"journal":{"name":"Nature","volume":"92 1","pages":""},"PeriodicalIF":64.8,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143665925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Trump team ‘survey’ sent to overseas researchers prompts foreign interference fears
IF 64.8 1区 综合性期刊
Nature Pub Date : 2025-03-20 DOI: 10.1038/d41586-025-00850-5
{"title":"Trump team ‘survey’ sent to overseas researchers prompts foreign interference fears","authors":"","doi":"10.1038/d41586-025-00850-5","DOIUrl":"https://doi.org/10.1038/d41586-025-00850-5","url":null,"abstract":"The document asks US-funded scientists in Australia, the UK and the EU to declare links to China or projects on diversity, equity and inclusion.","PeriodicalId":18787,"journal":{"name":"Nature","volume":"45 1","pages":""},"PeriodicalIF":64.8,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143665981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
End-to-end data-driven weather prediction
IF 64.8 1区 综合性期刊
Nature Pub Date : 2025-03-20 DOI: 10.1038/s41586-025-08897-0
Anna Allen, Stratis Markou, Will Tebbutt, James Requeima, Wessel P. Bruinsma, Tom R. Andersson, Michael Herzog, Nicholas D. Lane, Matthew Chantry, J. Scott Hosking, Richard E. Turner
{"title":"End-to-end data-driven weather prediction","authors":"Anna Allen, Stratis Markou, Will Tebbutt, James Requeima, Wessel P. Bruinsma, Tom R. Andersson, Michael Herzog, Nicholas D. Lane, Matthew Chantry, J. Scott Hosking, Richard E. Turner","doi":"10.1038/s41586-025-08897-0","DOIUrl":"https://doi.org/10.1038/s41586-025-08897-0","url":null,"abstract":"<p>Weather prediction is critical for a range of human activities including transportation, agriculture and industry, as well as the safety of the general public. Machine learning is transforming numerical weather prediction (NWP) by replacing the numerical solver with neural networks, improving the speed and accuracy of the forecasting component of the prediction pipeline <sup>1,2,3,4,5,6</sup>. However, current models rely on numerical systems at initialisation and to produce local forecasts, limiting their achievable gains. Here we show that a single machine learning model can replace the entire NWP pipeline. Aardvark Weather, an end-to-end data-driven weather prediction system, ingests observations and produces global gridded forecasts and local station forecasts. The global forecasts outperform an operational NWP baseline for multiple variables and lead times. The local station forecasts are skillful up to ten days lead time, competing with a post-processed global NWP baseline and a state-of-the-art end-to-end forecasting system with input from human forecasters. End-to-end tuning further improves the accuracy of local forecasts. Our results show that skillful forecasting is possible without relying on NWP at deployment time, which will enable the full speed and accuracy benefits of data-driven models to be realised. We believe Aardvark Weather will be the starting point for a new generation of end-to-end models that will reduce computational costs by orders of magnitude, and enable rapid, affordable creation of customised models for a range of end-users.</p>","PeriodicalId":18787,"journal":{"name":"Nature","volume":"37 1","pages":""},"PeriodicalIF":64.8,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143666197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Babies do make memories — so why can’t we recall our earliest years?
IF 64.8 1区 综合性期刊
Nature Pub Date : 2025-03-20 DOI: 10.1038/d41586-025-00855-0
{"title":"Babies do make memories — so why can’t we recall our earliest years?","authors":"","doi":"10.1038/d41586-025-00855-0","DOIUrl":"https://doi.org/10.1038/d41586-025-00855-0","url":null,"abstract":"MRI scans show that the brains of infants and toddlers can encode memories, even if we don’t remember them as adults.","PeriodicalId":18787,"journal":{"name":"Nature","volume":"58 1","pages":""},"PeriodicalIF":64.8,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143666287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Author Correction: Observation of an ultra-high-energy cosmic neutrino with KM3NeT
IF 64.8 1区 综合性期刊
Nature Pub Date : 2025-03-20 DOI: 10.1038/s41586-025-08836-z
{"title":"Author Correction: Observation of an ultra-high-energy cosmic neutrino with KM3NeT","authors":"","doi":"10.1038/s41586-025-08836-z","DOIUrl":"https://doi.org/10.1038/s41586-025-08836-z","url":null,"abstract":"<p>Correction to: <i>Nature</i> https://doi.org/10.1038/s41586-024-08543-1 Published online 12 February 2025</p>","PeriodicalId":18787,"journal":{"name":"Nature","volume":"25 1","pages":""},"PeriodicalIF":64.8,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143661100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Daily briefing: The mysterious force pushing galaxies apart might be getting weaker
IF 64.8 1区 综合性期刊
Nature Pub Date : 2025-03-20 DOI: 10.1038/d41586-025-00857-y
{"title":"Daily briefing: The mysterious force pushing galaxies apart might be getting weaker","authors":"","doi":"10.1038/d41586-025-00857-y","DOIUrl":"https://doi.org/10.1038/d41586-025-00857-y","url":null,"abstract":"Mysterious ‘dark energy’ — thought to be a cosmological constant — might have weakened over billions of years. Plus, skin immune cells form their own ‘bandage’ around wounds and how astronomers are tackling the growing problem of satellite pollution.","PeriodicalId":18787,"journal":{"name":"Nature","volume":"92 1","pages":""},"PeriodicalIF":64.8,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143666196","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
How ‘animal methods bias’ is affecting research careers
IF 64.8 1区 综合性期刊
Nature Pub Date : 2025-03-20 DOI: 10.1038/d41586-025-00593-3
{"title":"How ‘animal methods bias’ is affecting research careers","authors":"","doi":"10.1038/d41586-025-00593-3","DOIUrl":"https://doi.org/10.1038/d41586-025-00593-3","url":null,"abstract":"Some early-career researchers report feeling pressure to use animal models to meet journal and grant requirements, even in disciplines and projects that don’t require them.","PeriodicalId":18787,"journal":{"name":"Nature","volume":"14 1","pages":""},"PeriodicalIF":64.8,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143660642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Author Correction: Spatially resolved multiomics of human cardiac niches
IF 64.8 1区 综合性期刊
Nature Pub Date : 2025-03-20 DOI: 10.1038/s41586-025-08886-3
Kazumasa Kanemaru, James Cranley, Daniele Muraro, Antonio M. A. Miranda, Siew Yen Ho, Anna Wilbrey-Clark, Jan Patrick Pett, Krzysztof Polanski, Laura Richardson, Monika Litvinukova, Natsuhiko Kumasaka, Yue Qin, Zuzanna Jablonska, Claudia I. Semprich, Lukas Mach, Monika Dabrowska, Nathan Richoz, Liam Bolt, Lira Mamanova, Rakeshlal Kapuge, Sam N. Barnett, Shani Perera, Carlos Talavera-López, Ilaria Mulas, Krishnaa T. Mahbubani, Liz Tuck, Lu Wang, Margaret M. Huang, Martin Prete, Sophie Pritchard, John Dark, Kourosh Saeb-Parsy, Minal Patel, Menna R. Clatworthy, Norbert Hübner, Rasheda A. Chowdhury, Michela Noseda, Sarah A. Teichmann
{"title":"Author Correction: Spatially resolved multiomics of human cardiac niches","authors":"Kazumasa Kanemaru, James Cranley, Daniele Muraro, Antonio M. A. Miranda, Siew Yen Ho, Anna Wilbrey-Clark, Jan Patrick Pett, Krzysztof Polanski, Laura Richardson, Monika Litvinukova, Natsuhiko Kumasaka, Yue Qin, Zuzanna Jablonska, Claudia I. Semprich, Lukas Mach, Monika Dabrowska, Nathan Richoz, Liam Bolt, Lira Mamanova, Rakeshlal Kapuge, Sam N. Barnett, Shani Perera, Carlos Talavera-López, Ilaria Mulas, Krishnaa T. Mahbubani, Liz Tuck, Lu Wang, Margaret M. Huang, Martin Prete, Sophie Pritchard, John Dark, Kourosh Saeb-Parsy, Minal Patel, Menna R. Clatworthy, Norbert Hübner, Rasheda A. Chowdhury, Michela Noseda, Sarah A. Teichmann","doi":"10.1038/s41586-025-08886-3","DOIUrl":"https://doi.org/10.1038/s41586-025-08886-3","url":null,"abstract":"<p>Correction to: <i>Nature</i> https://doi.org/10.1038/s41586-023-06311-1 Published online 12 July 2023</p>","PeriodicalId":18787,"journal":{"name":"Nature","volume":"21 1","pages":""},"PeriodicalIF":64.8,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143666198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Bulk superconductivity near 40 K in hole-doped SmNiO2 at ambient pressure
IF 64.8 1区 综合性期刊
Nature Pub Date : 2025-03-20 DOI: 10.1038/s41586-025-08893-4
S. Lin Er Chow, Zhaoyang Luo, A. Ariando
{"title":"Bulk superconductivity near 40 K in hole-doped SmNiO2 at ambient pressure","authors":"S. Lin Er Chow, Zhaoyang Luo, A. Ariando","doi":"10.1038/s41586-025-08893-4","DOIUrl":"https://doi.org/10.1038/s41586-025-08893-4","url":null,"abstract":"<p>The discovery of superconductivity in the Ba-La-Cu-O system (the cuprate) in the 30 K range marked a significant breakthrough, which inspired extensive explorations of oxide based layered superconductors to identify electron pairing with higher critical temperatures (<i>T</i><sub>c</sub>)<sup>1</sup>. Despite recent observations of superconductivity in nickel-oxide-based compounds (the nickelates), evidence of Cooper pairing above 30 K in a system that is isostructural to the cuprates, but without copper, at ambient pressure and without lattice compression, has remained elusive<sup>2–5</sup>. Here, we report superconductivity with a <i>T</i><sub><i>c</i></sub> approaching 40 K under ambient pressure in the <i>d</i><sup>9-<i>x</i></sup> hole-doped, late rare-earth infinite-layer nickel oxide (Sm-Eu-Ca-Sr)NiO<sub>2</sub> thin films with negligible lattice compression, supported by observations of a zero resistance state at 31 K and the Meissner effect. The material can be synthesized with essentially no Ruddlesden–Popper type structural defects, exhibiting ultralow resistivity of ~ 0.01 mΩ∙cm with a residual-resistivity-ratio of up to 10. Our findings demonstrate the potential of achieving high-temperature superconductivity using strongly correlated <i>d</i>-electron metal oxides beyond copper as the building blocks for superconductivity, offering a promising platform for further exploration and understanding of high-temperature Cooper pairing.</p>","PeriodicalId":18787,"journal":{"name":"Nature","volume":"36 1","pages":""},"PeriodicalIF":64.8,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143666195","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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