6656期

最新文章

• Keep the Salween River free-flowing AI翻译
  作者：Tao, Juan; Bond, Nick; Tun, Nyo Nyo; Ding, Chengzhi
  作者单位：Yunnan University; La Trobe University
• 'I should have done better.' Stanford head steps down AI翻译
  作者：Kaiser, Jocelyn
• Independence by permission AI翻译
  作者：Wagner, Michael W.
  作者单位：University of Wisconsin System; University of Wisconsin Madison
• Tensile cracks can shatter classical speed limits AI翻译
  作者：Wang, Meng; Shi, Songlin; Fineberg, Jay
  作者单位：Hebrew University of Jerusalem
  摘要：Brittle materials fail by means of rapid cracks. Classical fracture mechanics describes the motion of tensile cracks that dissipate released elastic energy within a point-like zone at their tips. Within this framework, a classical tensile crack cannot exceed the Rayleigh wave speed, cR. Using brittle neo-hookean materials, we experimentally demonstrate the existence of supershear tensile cracks that exceed shear wave speeds, cR. Supershear cracks smoothly accelerate beyond cR, to speeds that c...
• Iconic parrot returns to mainland New Zealand AI翻译
  作者：Brainard, Jeffrey
• How do social media feed algorithms affect attitudes and behavior in an election campaign? AI翻译
  作者：Guess, Andrew M.; Malhotra, Neil; Pan, Jennifer; Barbera, Pablo; Allcott, Hunt; Brown, Taylor; Crespo-Tenorio, Adriana; Dimmery, Drew; Freelon, Deen; Gentzkow, Matthew; Gonzalez-Bailon, Sandra; Kennedy, Edward; Kim, Young Mie; Lazer, David; Moehler, Devra; Nyhan, Brendan; Rivera, Carlos Velasco; Settle, Jaime; Thomas, Daniel Robert; Thorson, Emily; Tromble, Rebekah; Wilkins, Arjun; Wojcieszak, Magdalena; Xiong, Beixian; de Jonge, Chad Kiewiet; Franco, Annie; Mason, Winter; Stroud, Natalie Jomini; Tucker, Joshua A.
  作者单位：Princeton University; Princeton University; Stanford University; Stanford University; Stanford University; University of Vienna; University of North Carolina; University of North Carolina Chapel Hill; University of North Carolina School of Medicine; Stanford University; University of Pennsylvania; Carnegie Mellon University; University of Wisconsin System; University of Wisconsin Madison; Northeastern University; Dartmouth College; Syracuse University; George Washington University; George Washington University; University of California System; University of California Davis; University of Amsterdam; University of Texas System; University of Texas Austin; University of Texas System; University of Texas Austin; New York University; New York University
  摘要：We investigated the effects of Facebook's and Instagram's feed algorithms during the 2020 US election. We assigned a sample of consenting users to reverse-chronologically-ordered feeds instead of the default algorithms. Moving users out of algorithmic feeds substantially decreased the time they spent on the platforms and their activity. The chronological feed also affected exposure to content: The amount of political and untrustworthy content they saw increased on both platforms, the amount of...
• Face value AI翻译
  作者：Thorp, H. Holden
• Trinity test sent fallout far AI翻译
  作者：Brainard, Jeffrey
• Dust clouds seen collapsing into planets AI翻译
  作者：Brainard, Jeffrey
• Deploying synthetic coevolution and machine learning to engineer protein-protein interactions AI翻译
  作者：Yang, Aerin; Jude, Kevin M.; Lai, Ben; Minot, Mason; Kocyla, Anna M.; Glassman, Caleb R.; Nishimiya, Daisuke; Kim, Yoon Seok; Reddy, Sai T.; Khan, Aly A.; Garcia, K. Christopher
  作者单位：Stanford University; Howard Hughes Medical Institute; Stanford University; Toyota Technological Institute - Chicago; Swiss Federal Institutes of Technology Domain; ETH Zurich; University of Chicago; University of Chicago; Stanford University
  摘要：Fine-tuning of protein-protein interactions occurs naturally through coevolution, but this process is difficult to recapitulate in the laboratory. We describe a platform for synthetic protein-protein coevolution that can isolate matched pairs of interacting muteins from complex libraries. This large dataset of coevolved complexes drove a systems-level analysis of molecular recognition between Z domain-affibody pairs spanning a wide range of structures, affinities, cross-reactivities, and ortho...