5 Matching Annotations
  1. Mar 2021
    1. NETs are also associated with thrombotic events in COVID-19, consisting of platelets, complement (C3) and tissue factor in blood

      Monocyte and neutrophil aggregates with platelets have been identified in COVID-19 patients and correlate with disease severity https://doi.org/10.1055/s-0040-1718732

      Von Willebrand’s factor and ADAMTS13 are also implicated in NET-associated immunothrombosis https://doi.org/10.3389/fimmu.2020.610696 , https://doi.org/10.1002/ctm2.268

      Additionally, NETs have been shown to accumulate and persist in the lungs of severe COVID-19 patients https://doi.org/10.1093/infdis/jiab053 and recruits coagulation Factor XII to promote clotting https://doi.org/10.1101/2020.12.29.424644 .

      This persistence is attributed to poor DNase clearance of NETs https://doi.org/10.1111/all.14746

  2. Oct 2019
  3. Nov 2018
    1. Using Model Strategies forIntegrating Technology into Teaching

      In this pdf, there are many helpful tips and techniques in creating a foundation for technology. The introduction of model strategies are laid out with lots of supporting detail and examples and weblinks. It includes nearly 400 pages of peer-reviewed lessons, models and various strategies.

      RATING: 5/5 (rating based upon a score system 1 to 5, 1= lowest 5=highest in terms of content, veracity, easiness of use etc.)

  4. Mar 2017
  5. Apr 2016
    1. Effect of step size. The gradient tells us the direction in which the function has the steepest rate of increase, but it does not tell us how far along this direction we should step.

      That's the reason why step size is an important factor in optimization algorithm. Too small step can cause the algorithm longer to converge. Too large step can cause that we change the parameters too much thus overstepped the optima.