STEMsocial Distilled #2

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We are happy to offer this second edition of the distilled of the best STEMsocial posts. lemouth@lemouth managed to dedicate once again some of his time to browse the posts selected by our curators last week, and highlight a selection of them.

For those who do not know what STEMsocial is, please take a look here (this will be updated in 1-2 days), or pass by Discord or the Hive Chat.


Before moving on with the two best posts that have been selected from all the posts found by our curators last week, here is the most supported ones:

AuthorTitle
pibara@pibaraVisualizing COVID-19 mortality data with Pandas: Normalizing and re-anchoring
lupafilotaxia@lupafilotaxiaBiotype and plant adaptability - Amaranthus spp. (Amaranthaceae)
dexterdev@dexterdevA toy example of molecule aggregation to familiarize with LAMMPS software

Interested in being part of that list? Please check these guidelines or ask for a mentor on Discord or on the Hive Chat.


Our top choices



Critical and detailed insights on Covid-19: All you need to know


Everyone speaks about it, hears things about it, and it even dictates our lifes. The COVID-19 is indeed all over the place today. But what is this beast exactly? cyprianj@cyprianj dove into it and wrote a very nice comprehensive post on the topic. You will learn all the big lines. Feel free to have a look and ask him any further question.

A toy example of molecule aggregation to familiarize with LAMMPS software



One of our core STEMsocial members, dexterdev@dexterdev, has recently started a new series discussing coarse-grained lipid models (i.e. his own research). In this post, he details how to get used to a piece of software called LAMMPS, that allows one to simulate interactions between (many, see the picture) particles or atoms. Feel free to have a look and even try: the code is free!


Statistics


STEMSocial offers support to anyone using our app, stem.openhive.network. We recall that:

  • Posting an article through the app automatically yields a 5% stronger upvote at curation time.
  • Posting a reply to an article (or to another reply) from the app can sometimes yield some support.
  • Setting steemstem@steemstem as a beneficiary to the post automatically yields a stronger upvote (up to 5%).
Last week, the STEMsocial curator team has supported 33 posts written by 23 authors. 13 of these posts have been posted through the app (and got a 5% stronger upvote). Among these 33 posts, we find:
  • 17 small upvotes (less than 20%)
  • 11 medium upvotes (in the 20%-50% range)
  • 5 large upvotes (larger than 50%)

The list of upvoted post authors is: acont@acont, artemislives@artemislives, azulear@azulear, capp@capp, carlos84@carlos84, dexterdev@dexterdev, dra.karina@dra.karina, emiliomoron@emiliomoron, enforcer48@enforcer48, fenngen@fenngen, iamphysical@iamphysical, iptrucs@iptrucs, joelagbo@joelagbo, lupafilotaxia@lupafilotaxia, newton666@newton666, ozelot47@ozelot47, pibara@pibara, popurri@popurri, rbalzan79@rbalzan79, suesa@suesa, tomastonyperez@tomastonyperez, uyobong@uyobong, walterprofe@walterprofe


All curation rewards earned are used to fund the STEMsocial project functioning and activities.

If you like what we do, please consider supporting our funding proposal, approving our witness (stem.witness@stem.witness) or delegating to the steemstem@steemstem account (for some ROI).

See you all next week!

PS: This article has been formatted for the stem.openhive.network front-end. Please see here for a better reading.

STEMsocial Distilled #2 | Ecency