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#flyways — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #flyways, aggregated by home.social.

  1. FAA quietly developing AI-enabled predictive air traffic management system

    Log-in here if you’re already a subscriber The Federal Aviation Administration is quietly developing a new artificial intelligence-powered…
    #France #FR #Europe #EU #Thales #AirspaceIntelligence #AlaskaAirlines #BryanBedford #FF-ICE #Flyways #Foundry #MaastrichtUpperAreaControlCentre #Palantir #SeanDuffy #SteveFulton #thales #Time-BasedFlowManagement #trajectory-basedoperations
    europesays.com/france/24791/

  2. Long-distance migration can be dangerous. A life history model by Ronald C. Ydenberg predicts differences in over-summering between similar sandpiper species because the mortality posed by predators differs between flyways. Read now ahead of print! journals.uchicago.edu/doi/10.1

    #migration #lifeHistory #summering #sandpiper #mortality #predators #flyways

  3. Long-distance migration can be dangerous. A life history model by Ronald C. Ydenberg predicts differences in over-summering between similar sandpiper species because the mortality posed by predators differs between flyways. Read now ahead of print! journals.uchicago.edu/doi/10.1

    #migration #lifeHistory #summering #sandpiper #mortality #predators #flyways

  4. Long-distance migration can be dangerous. A life history model by Ronald C. Ydenberg predicts differences in over-summering between similar sandpiper species because the mortality posed by predators differs between flyways. Read now ahead of print! journals.uchicago.edu/doi/10.1

    #migration #lifeHistory #summering #sandpiper #mortality #predators #flyways

  5. Long-distance migration can be dangerous. A life history model by Ronald C. Ydenberg predicts differences in over-summering between similar sandpiper species because the mortality posed by predators differs between flyways. Read now ahead of print! journals.uchicago.edu/doi/10.1

    #migration #lifeHistory #summering #sandpiper #mortality #predators #flyways

  6. Long-distance migration can be dangerous. A life history model by Ronald C. Ydenberg predicts differences in over-summering between similar sandpiper species because the mortality posed by predators differs between flyways. Read now ahead of print! journals.uchicago.edu/doi/10.1

    #migration #lifeHistory #summering #sandpiper #mortality #predators #flyways

  7. #Molecular Characterization of Non- #H5 and Non- #H7 Avian #Influenza Viruses from Non-Mallard #Migratory #Waterbirds of the North #American #Flyways, 2006–2011, Pathogens: mdpi.com/2076-0817/13/4/333

    The most common H and N combinations were #H3N8 (23.0%), #H4N6 (18.4%), and #H4N8 (18.4%). The HA gene between non-mallard and mallard MW isolates during the same time period shared 85.5–99.5% H3 identity and 89.3–99.7% H4 identity.

  8. #Molecular Characterization of Non- #H5 and Non- #H7 Avian #Influenza Viruses from Non-Mallard #Migratory #Waterbirds of the North #American #Flyways, 2006–2011, Pathogens: mdpi.com/2076-0817/13/4/333

    The most common H and N combinations were #H3N8 (23.0%), #H4N6 (18.4%), and #H4N8 (18.4%). The HA gene between non-mallard and mallard MW isolates during the same time period shared 85.5–99.5% H3 identity and 89.3–99.7% H4 identity.

  9. #Molecular Characterization of Non- #H5 and Non- #H7 Avian #Influenza Viruses from Non-Mallard #Migratory #Waterbirds of the North #American #Flyways, 2006–2011, Pathogens: mdpi.com/2076-0817/13/4/333

    The most common H and N combinations were #H3N8 (23.0%), #H4N6 (18.4%), and #H4N8 (18.4%). The HA gene between non-mallard and mallard MW isolates during the same time period shared 85.5–99.5% H3 identity and 89.3–99.7% H4 identity.

  10. #Molecular Characterization of Non- #H5 and Non- #H7 Avian #Influenza Viruses from Non-Mallard #Migratory #Waterbirds of the North #American #Flyways, 2006–2011, Pathogens: mdpi.com/2076-0817/13/4/333

    The most common H and N combinations were #H3N8 (23.0%), #H4N6 (18.4%), and #H4N8 (18.4%). The HA gene between non-mallard and mallard MW isolates during the same time period shared 85.5–99.5% H3 identity and 89.3–99.7% H4 identity.

  11. #Molecular Characterization of Non- #H5 and Non- #H7 Avian #Influenza Viruses from Non-Mallard #Migratory #Waterbirds of the North #American #Flyways, 2006–2011, Pathogens: mdpi.com/2076-0817/13/4/333

    The most common H and N combinations were #H3N8 (23.0%), #H4N6 (18.4%), and #H4N8 (18.4%). The HA gene between non-mallard and mallard MW isolates during the same time period shared 85.5–99.5% H3 identity and 89.3–99.7% H4 identity.

  12. Saw an excellent documentary film at the Deckchair cinema in Darwin - Flyways - which covers three sets of migratory birds. Can highly recommend!

    It felt like an extra bonus to have read Harry Saddler's superb book about the Eastern Curlew as that was one of the birds followed.
    affirmpress.com.au/publishing/

  13. Saw an excellent documentary film at the Deckchair cinema in Darwin - Flyways - which covers three sets of migratory birds. Can highly recommend!

    It felt like an extra bonus to have read Harry Saddler's superb book about the Eastern Curlew as that was one of the birds followed.
    affirmpress.com.au/publishing/
    #Flyways #EasternCurlew #Conservation

  14. Saw an excellent documentary film at the Deckchair cinema in Darwin - Flyways - which covers three sets of migratory birds. Can highly recommend!

    It felt like an extra bonus to have read Harry Saddler's superb book about the Eastern Curlew as that was one of the birds followed.
    affirmpress.com.au/publishing/
    #Flyways #EasternCurlew #Conservation