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How metals work together to weaken hardy nitrogen-nitrogen bonds


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MIT chemists have determined the structure of the complex that forms when gaseous dinitrogen, or N2, binds to an iron-sulfur cluster, offering clues as to how microbes (in yellow) use nitrogenases to break the nitrogen-nitrogen bond (in pink and green).
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When more Covid-19 data doesn't equal more understanding


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IMAGE: This figure shows a network visualization of Twitter users appearing in the research. Color encodes community and nodes are sized by their degree of connectedness.
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Credit: Image courtesy of Crystal Lee, Graham Jones, Arvind Satyanarayan
Since the start of the Covid-19 pandemic, charts and graphs have helped communicate information about infection rates, deaths, and vaccinations. In some cases, such visualizations can encourage behaviors that reduce virus transmission, like wearing a mask. Indeed, the pandemic has been hailed as the breakthrough moment for data visualization.
But new findings suggest a more complex picture. A study from MIT shows how coronavirus skeptics have marshalled data visualizations online to argue against public health orthodoxy about the benefits of mask mandates. Such counter-visualizations are often quite sophisticated, using datasets from official sources and state-of-the-art visualization method ....

United States , Arvind Satyanarayan , Tanya Yang , Crystal Lee , Jonathan Zong , Gabrielle Inchoco , Daniel Ackerman , Graham Jones , Science Research Council , Artificial Intelligence Laboratory , Career Development Assistant Professor , Wellesley College , National Science Foundation , Department Of Electrical Engineering , News Office , Harvard University Berkman Klein Center , Human Factors , Computing Systems , Harvard University , Berkman Klein Center , Margaret Macvicar Faculty Fellow , Development Assistant Professor , Electrical Engineering , Computer Science , Social Science Research , Promote Unorthodox Science ,

When more Covid-19 data doesn't equal more understanding | MIT News | Massachusetts Institute of Technology


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Image: Jose-Luis Olivares, MIT
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This figure shows a network visualization of Twitter users appearing in the research. Color encodes community and nodes are sized by their degree of connectedness.
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Since the start of the Covid-19 pandemic, charts and graphs have helped communicate information about infection rates, deaths, and vaccinations. In some cases, such visualizations can encourage behaviors that reduce virus transmission, like wearing a mask. Indeed, the pandemic has been hailed as the breakthrough moment for data visualization.
But new findings suggest a more complex picture. A study from MIT shows how coronavirus skeptics have marshalled data visualizations online to argue ....

United States , Arvind Satyanarayan , Tanya Yang , Crystal Lee , Jonathan Zong , Gabrielle Inchoco , Graham Jones , Science Research Council , Artificial Intelligence Laboratory , Career Development Assistant Professor , Wellesley College , National Science Foundation , Department Of Electrical Engineering , University Of Washington , Harvard University Berkman Klein Center , Human Factors , Computing Systems , Harvard University , Berkman Klein Center , Margaret Macvicar Faculty Fellow , Development Assistant Professor , Electrical Engineering , Computer Science , Jevin West , Social Science Research , Digital Ethnography ,