178 Matching Annotations
  1. Aug 2022
    1. Mayer says time-restricted eating — a form of intermittent fasting that requires you to squeeze all your daily calories into a compressed feeding window — may be helpful. “The migrating motor complex is rarely mentioned in these articles on intermittent fasting, which is surprising because it’s so well-studied,” he says.To ensure the MMC has enough time to perform its duties, aiming for 14 hours without caloric foods or drinks is a good target, he says. For example, you could avoid all calories between 8 p.m. and 10 a.m. “The 14 hours without food intake would allow the MMC to kick in and not only cleanse your gut of any undigestible, unabsorbable food components, but also to reestablish the normal proximal-to-distal gradient of gut microbial density,” he says.

      !- For : microbiome health - fasting for 14 hours helps the migrating motor complex (MMC) maintain gut health

  2. Apr 2022
  3. Mar 2022
    1. There are a few things we know that promote longevity and healthspan. Caloric restriction and intermittent fasting are one of the most effective ways of doing so as shown by research in virtually all species.

      This could explain why Dr Clemens' [[PKD]] protocol has me around 1,000 calories a day

  4. Jan 2022
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  11. Jun 2021
    1. Paul Kedrosky. (2021, June 8). Air passengers in the U.S. yesterday were up 20% week-over-week, the biggest advance since February, and the highest total daily passengers—1.98m—Since the pandemic started. I initially thought it was an error and held off posting it, but it’s apparently correct. Https://t.co/E50EW54MR0 [Tweet]. @pkedrosky. https://twitter.com/pkedrosky/status/1402047355029917696

  12. May 2021
    1. Peccia, J., Zulli, A., Brackney, D. E., Grubaugh, N. D., Kaplan, E. H., Casanovas-Massana, A., Ko, A. I., Malik, A. A., Wang, D., Wang, M., Weinberger, D. M., & Omer, S. B. (2020). SARS-CoV-2 RNA concentrations in primary municipal sewage sludge as a leading indicator of COVID-19 outbreak dynamics. MedRxiv, 2020.05.19.20105999. https://doi.org/10.1101/2020.05.19.20105999

  13. Apr 2021
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  21. Aug 2020
    1. Balla-Elliott, D., Cullen, Z. B., Glaeser, E. L., Luca, M., & Stanton, C. T. (2020). Business Reopening Decisions and Demand Forecasts During the COVID-19 Pandemic (Working Paper No. 27362; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27362

  22. Jul 2020
    1. Davis, J. T., Chinazzi, M., Perra, N., Mu, K., Piontti, A. P. y, Ajelli, M., Dean, N. E., Gioannini, C., Litvinova, M., Merler, S., Rossi, L., Sun, K., Xiong, X., Halloran, M. E., Longini, I. M., Viboud, C., & Vespignani, A. (2020). Estimating the establishment of local transmission and the cryptic phase of the COVID-19 pandemic in the USA. MedRxiv, 2020.07.06.20140285. https://doi.org/10.1101/2020.07.06.20140285

  23. Jun 2020
    1. Oliver, N., Lepri, B., Sterly, H., Lambiotte, R., Deletaille, S., Nadai, M. D., Letouzé, E., Salah, A. A., Benjamins, R., Cattuto, C., Colizza, V., Cordes, N. de, Fraiberger, S. P., Koebe, T., Lehmann, S., Murillo, J., Pentland, A., Pham, P. N., Pivetta, F., … Vinck, P. (2020). Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle. Science Advances, 6(23), eabc0764. https://doi.org/10.1126/sciadv.abc0764

    1. Guan, D., Wang, D., Hallegatte, S., Davis, S. J., Huo, J., Li, S., Bai, Y., Lei, T., Xue, Q., Coffman, D., Cheng, D., Chen, P., Liang, X., Xu, B., Lu, X., Wang, S., Hubacek, K., & Gong, P. (2020). Global supply-chain effects of COVID-19 control measures. Nature Human Behaviour, 1–11. https://doi.org/10.1038/s41562-020-0896-8

  24. May 2020
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