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738 results for “castamg”

  1. #TIL about the "BOW - A Standardized #Lexicon of Body Odor Words Crafted from 17 Countries" -- so now you know how to call that "ineffable" stink :-)

    Details and data at: osf.io/rpzjk/
    A web app at: bow-descriptors.streamlit.app/

    #BodyOdor

  2. #TIL about the "BOW - A Standardized #Lexicon of Body Odor Words Crafted from 17 Countries" -- so now you know how to call that "ineffable" stink :-)

    Details and data at: osf.io/rpzjk/
    A web app at: bow-descriptors.streamlit.app/

    #BodyOdor

  3. For this week's #MapPromptMonday, a couple of maps showing, at the Province level, the number of cases and deaths for #Dengue in #Peru for 2023 up to 2023-07-26, using data from DGE/MINSA.

    Some provinces in the coast that have been more affected by cases, and usually they correlate with the number of deaths. Lima is an exception. A small number of provinces have not (yet) reported cases of Dengue.

    #Rstats code: github.com/jmcastagnetto/my_ma

    #map #health

  4. For this week's #MapPromptMonday, a #map showing the natural protected areas in #Peru, with data from the Min. of the Environment (#MINAM). Used tiles from Thunderforest for the underlying map.

    #RStats code: github.com/jmcastagnetto/my_ma

  5. For this week's #MapPromptMonday, with #desserts as topic. A look at how the harvest area for #cocoa beans has changed in South America: #Peru has increased that area 33x from 1961 to 2021, while other countries remain the same or lowered that area. How come I do not see 33x better #chocolate in the stores here?

    #RStats code: github.com/jmcastagnetto/my_ma

  6. For this week's #MapPromptMonday, a map of #Peru, showing the #glacier areas in the country, using the data from the #GLIMS (glims.org/) database, for the year 2021.
    Tried to use a color palette based on the Peru color (#CD853F)
    #RStats code: github.com/jmcastagnetto/my_ma

  7. For this week's #MapPromptMonday, a comparison of tree coverage loss in #SouthAmerica for 2000 and 2022, using data from the "2022 Environmental Performance Index".

    #RStats code: github.com/jmcastagnetto/my_ma

  8. For this week's #MapPromptMonday (2023-06-19), a comparison of the min. and max. temperatures during the Summer months in #Peru (Dec., Jan., Feb.) between the [1901-1930] and [1991-2020] periods. The min. temp has increased in all regions, whereas, and the max. temp has also gone up for 21 of 25 regions.
    #Rstats code at: github.com/jmcastagnetto/my_ma

  9. For this week's #MapPromptMonday, about #Safety, here is a map showing the annual number of deaths by vehicle collisions per million in 2020, for each region in #Peru.
    #Rstats code in: github.com/jmcastagnetto/my_ma

  10. This week for #MapPromptMonday, trying to make a "book cover" of an #imaginary #book about #Peru and its troubles. Map made with #Rstats, and some labels and tweaks with #Gimp and #ImageMagick. Using the "Peru" color as a basis.
    #RStats code: github.com/jmcastagnetto/my_ma

  11. A good video on the problems and #unequal distribution and access to #water in #Peru:

    "500 Years of Water in Lima, Peru" youtube.com/watch?v=k6KiZ_qtCl

  12. "Phenotypic adaptation to #temperature in the #mosquito #vector, Aedes aegypti" onlinelibrary.wiley.com/doi/10

    "... We identified significant #phenotypic variation in thermal tolerance between populations ... Moreover, these differences in thermal tolerance translated to shifts in the thermal performance curves for multiple life-history traits, leading to differences in overall fitness ..."

    #Dengue #AedesAegypti

  13. @jonthegeek @coolbutuseless @teunbrand

    Here is an approach to do #2D #RLE applied to the processing of #ECG images: link.springer.com/chapter/10.1, and also there is a 3D RLE approach for volumetric medical image data: tandfonline.com/doi/abs/10.108
    In my previous #Bioinformatics life, RLE was used, there is rle2() for the #Bio3D package which uses indices (thegrantlab.org/bio3d/referenc).
    Also, there is an improvement of RLE with a bit of Huffman encoding thrown in: arxiv.org/abs/2101.05329