12 Matching Annotations
  1. Jul 2022
    1. geometric mean dust exposure for bakers was 1.2 mg·m−3

      This is interesting because of all the flour flying around as bakers are working. Would this be less so with heavier flours?

    1. uses the Cuckoo Search (CS) algorithm to solve the picking walking distance generated by the Mixed-type path.

      this seems like an option to dig into and compare to what you found last time

    1. Sketch of flying-V layout with multiple workstations and four divided categories

      this graph is very interesting. Is it possible to quadrant work in your operation this way?

    1. To appreciate the benefits of such a focused intervention, we can consider the scenario of a patient intervention system lacking such predictive analytics.

      tangible ouotcomes are important in this research and how it may connect with your project

    2. 23. Gu, Y., Zalkikar, A., Kelly, L., Daly, K. & Ward, T. E. Predicting injectable medication adherence via a smart sharps bin and machine learning. arXiv preprintarXiv:2004.01144 (2020).

      I recommend finding the previous paper in order to get more information

    3. aimed to predict patient adherence in the next 30, 60 and 90 days using ten different machine learning models based on information from Medicare enrolment files and medical and pharmacy claims.

      this is interesting. Predicting adherance through machine learning. Human behaviour can be so erradic.

    1. It is possible if we analyze 300 or 500 million prescriptions, however, it might affect the association strengths which we obtained by using the original data. Second, only two variables are used, diagnostic code and medication codes in the analysis,

      there is definite need for more data to support a more thurough model

  2. Jun 2022
    1. In 2019, shelter intake for each animal shelter in the United States averaged more than 1,500 animals, where cats accounted for 49% of intakes

      I wonder how 2020 effected this. There was a run on shelterr animals as people were looking for companions during the lockdown periods.