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A guideline to limit indoor airborne transmission of COVID-19

A guideline to limit indoor airborne transmission of COVID-19

Edited by Renyi Zhang, Texas A&M University, College Station, TX, and accepted by Editorial Board Member John H. Seinfeld March 3, 2021 (received for review September 9, 2020)Airborne transmission arises through the inhalation of aerosol droplets exhaled by an infected person and is now thought to be the primary transmission route of COVID-19. By assuming that the respiratory droplets are mixed uniformly through an indoor space, we derive a simple safety guideline for mitigating airborne transmission that would impose an upper bound on the product of the number of occupants and their...

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Dynamics of hydraulic and contractile wave-mediated fluid transport during Drosophila oogenesis

Dynamics of hydraulic and contractile wave-mediated fluid transport during Drosophila oogenesis

Edited by Boris I. Shraiman, University of California, Santa Barbara, CA, and approved January 29, 2021 (received for review September 19, 2020)Fluid flow plays an important role during oogenesis. From insects to mice, oocytes mature by acquiring cytoplasm from sister germ cells, yet the biological and physical mechanisms underlying this transport process remain poorly understood. To study the dynamics of “nurse cell dumping” in fruit flies, we combined direct imaging with flow-network modeling and found that the intercellular pattern and time scale of transport are in accordance with a...

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Low rattling: A predictive principle for self-organization in active collectives

Low rattling: A predictive principle for self-organization in active collectives

You are currently viewing the abstract.AAAS login provides access to Science for AAAS members, and access to other journals in the Science family to users who have purchased individual subscriptions.Log in via OpenAthens.Log in with your institution via Shibboleth.Download and print this article for your personal scholarly, research, and educational use.Buy a single issue of Science for just $15 USD.In classical statistical mechanics, the deterministic dynamics of a many-body system are replaced by a probabilistic description. Chvykov et al. work toward a similar description for the...

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Expanding AI’s Impact With Organizational Learning

Expanding AI’s Impact With Organizational Learning

Sam Ransbotham, Shervin Khodabandeh, David Kiron, François Candelon, Michael Chu, and Burt LaFountainMost companies developing AI capabilities have yet to gain significant financial benefits from their efforts. Only when organizations add the ability to learn with AI do significant benefits become likely.1Only 10% of companies obtain significant financial benefits from artificial intelligence technologies. Why so few?Our research shows that these companies intentionally change processes, broadly and deeply, to facilitate organizational learning with AI. Better organizational learning...

October 22, 2020
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