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@arXiv_physicssocph_bot@mastoxiv.page
2024-03-04 07:26:15

Quantum Readiness in Healthcare and Public Health: Building a Quantum Literate Workforce
Jonathan B VanGeest, Kieran J Fogarty, William G Hervey, Robert A Hanson, Suresh Nair, Timothy A Akers
arxiv.org/abs/2403.00122

Quantum Readiness in Healthcare and Public Health: Building a Quantum Literate Workforce
Quantum technologies, including quantum computing, cryptography, and sensing, among others, are set to revolutionize sectors ranging from materials science to drug discovery. Despite their significant potential, the implications for public health have been largely overlooked, highlighting a critical gap in recognition and preparation. This oversight necessitates immediate action, as public health remains largely unaware of quantum technologies as a tool for advancement. The application of quant…

@netzschleuder@social.skewed.de
2024-03-31 17:00:05

unicodelang: Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.
This network has 868 nodes and 1255 edges.
Tags: Informational, Relatedness, Weighted
…

unicodelang: Languages spoken by country (2015). 868 nodes, 1255 edges. https://networks.skewed.de/net/unicodelang

unicodelang — Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.

@netzschleuder@social.skewed.de
2024-03-31 17:00:05

unicodelang: Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.
This network has 868 nodes and 1255 edges.
Tags: Informational, Relatedness, Weighted
…

unicodelang: Languages spoken by country (2015). 868 nodes, 1255 edges. https://networks.skewed.de/net/unicodelang

unicodelang — Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.

@lightweight@mastodon.nzoss.nz
2024-04-20 15:12:41

The venom directed at EVs that I see on Facebook seems so utterly idiotic and consistently mis-informed that I can't imagine it's not being orchestrated centrally (and exploiting folks who seem capable only of barely literate comments). I wonder if those promoting these ill-informed anti-EV sentiments are actually developing LLM-powered bots that intentionally come across as barely literate in hopes of projecting some kind of salt-of-the-earth authenticity?! How ironic.

@netzschleuder@social.skewed.de
2024-03-01 06:00:05

unicodelang: Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.
This network has 868 nodes and 1255 edges.
Tags: Informational, Relatedness, Weighted
…

unicodelang: Languages spoken by country (2015). 868 nodes, 1255 edges. https://networks.skewed.de/net/unicodelang

unicodelang — Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.

@bbhorne@kolektiva.social
2024-03-18 13:17:15

Alt text doctrine expects that everybody is the same degree of literate, which is simply not true. Many people gravitate towards image-based creating because the process of using words fails them. So, how can we expect those people to seemlessly add words to their images, as if they didn't pick image-based creation processes explicitly to avoid their difficulties with using words?

@jonippolito@digipres.club
2024-03-15 13:59:20

For now, being AI-literate feels like a cheat code to life. But once everyone learns to prompt, will it be "the end of busywork" or the surrender of truth-seeking to the law of averages?
#HigherEducation #AIliteracy

A meme with a happy face next to the words "You give ChatGPT someone's manuscript and instantly generate a peer review" and a disappointed face next to the words "The journal editor asks why your review is nearly identical to the other three"
@netzschleuder@social.skewed.de
2024-03-29 17:00:05

unicodelang: Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.
This network has 868 nodes and 1255 edges.
Tags: Informational, Relatedness, Weighted
…

unicodelang: Languages spoken by country (2015). 868 nodes, 1255 edges. https://networks.skewed.de/net/unicodelang

unicodelang — Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.

@netzschleuder@social.skewed.de
2024-04-25 18:00:05

unicodelang: Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.
This network has 868 nodes and 1255 edges.
Tags: Informational, Relatedness, Weighted
…

unicodelang: Languages spoken by country (2015). 868 nodes, 1255 edges. https://networks.skewed.de/net/unicodelang

unicodelang — Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.

@arXiv_physicsedph_bot@mastoxiv.page
2024-03-21 09:18:12

This arxiv.org/abs/2309.02953 has been replaced.
initial toot: mastoxiv.page/@arXi…

Blended learning: A data-literate science teacher is a better teacher
The COVID-19 pandemic has underscored the importance of blended learning in contemporary physics and, more generally, STEM education. In this contribution, we summarize current pedagogical models of blended learning, such as rotational and flexible non-rotational models, and customizable configurations of physical and virtual learning spaces. With the inevitable integration of digital technology as one of the pillars of blended learning, teachers find themselves in an unprecedented position to …

@arXiv_physicshistph_bot@mastoxiv.page
2024-03-26 07:11:31

The Compton scientific mission in Brazil in 1941: a perspective from national newspaper and documents of the time
Francisco Caruso, Ad\'ilio Marques, Felipe Silveira
arxiv.org/abs/2403.16690

The Compton scientific mission in Brazil in 1941: a perspective from national newspaper and documents of the time
Starting from the perspective of reports published in Brazilian newspapers at the time, as well as letters exchanged between scientists who worked in Brazil and North American colleagues and documents from the symposium on cosmic rays, a chronological sequence of how the so-called Compton mission in Brazil took place and was perceived by the literate public will be presented.

@netzschleuder@social.skewed.de
2024-03-20 23:00:27

unicodelang: Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.
This network has 868 nodes and 1255 edges.
Tags: Informational, Relatedness, Weighted
…

unicodelang: Languages spoken by country (2015). 868 nodes, 1255 edges. https://networks.skewed.de/net/unicodelang

unicodelang — Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.

@netzschleuder@social.skewed.de
2024-04-18 22:00:15

unicodelang: Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.
This network has 868 nodes and 1255 edges.
Tags: Informational, Relatedness, Weighted
…

unicodelang: Languages spoken by country (2015). 868 nodes, 1255 edges. https://networks.skewed.de/net/unicodelang

unicodelang — Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.

@netzschleuder@social.skewed.de
2024-03-10 06:00:05

unicodelang: Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.
This network has 868 nodes and 1255 edges.
Tags: Informational, Relatedness, Weighted
…

unicodelang: Languages spoken by country (2015). 868 nodes, 1255 edges. https://networks.skewed.de/net/unicodelang

unicodelang — Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.

@netzschleuder@social.skewed.de
2024-03-08 22:00:04

unicodelang: Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.
This network has 868 nodes and 1255 edges.
Tags: Informational, Relatedness, Weighted
…

unicodelang: Languages spoken by country (2015). 868 nodes, 1255 edges. https://networks.skewed.de/net/unicodelang

unicodelang — Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.