seccess
- Over this period, cigarettes have been reformulated in ways that might make them more dangerous.
- As the prevalence of smoking has decreased, it’s possible that the number of casual smokers has decreased more quickly, leaving a higher percentage of heavy smokers.
- Or maybe the denominator of the ratio — the risk for non-smokers — has decreased."
My first thought was "second hand smoke". My logic is, when smoking was more normalized, non-smokers were exposed to some of the same risk as smokers due to smoking indoors, etc, resulting in higher rates of lung cancer among non-smokers.
This perspective is reductive and insulting. There are many great, wholesome creators on YT/Twitch who put a lot of work to make their content welcoming and intellectually engaging, even if they are seemingly just playing video games. Just because the author doesn't like it doesn't make this remotely accurate to the real world.
THANK GOODNESS, man those shadows always looked so ugly. I primarily use EEVEE so this makes me happy.
"Facebook, Wikipedia, Yahoo, Flickr, Tumblr all these sites run in PHP and welcome millions of users every month without flinching."
Facebook dropped PHP for their own language called Hack, which I think is based on PHP but with a lot of the things people complain about changed.
So yeah, of course there is a point in debating such a question. And there are real ways to find answers. Probably even better ones than what I said.
If people are afraid to be in public, then the restaurants, bars, and shops won't see full-scale business return. Those jobs and business will be lost anyway, perhaps with more people infected than necessary. Or, we try and find some middle-ground "new normal" that lets people feel safe in public. Or something else? I have no idea and I doubt many people in this comment section really know either.
I feel like trying out various languages/frameworks would affect compsci labs a lot less than other fields, since the students probably have some foundational knowledge of languages and have already learned a few before getting there. Might be easier for them to pick up new ones.
(a) While I'm being honest that my observations are based on the fields I have experience, there is no such justification that "It is true broadly for computation in academia" in your comment.
(b) Interpreting "niche" as "small" (especially given your "true broadly" claim): Computational genetics is huge in terms of funding dollars and number of researchers.
In my experience (Genomics) this is simply not true. Python has caught on over the last 5 or so years, but prior to that Perl was the defacto language for genetic analysis. Its still quite heavily used. Perl is not a paragon of simplicity and clarity.
NASA maps show the effect of a quarantine on air pollution
Understanding re-identification risk and quasi-identifiers with Cloud DLP
Uber resumes testing self-driving cars nine months after deadly crash
If you are running in Google cloud, its their machines and they have power to do pretty much whatever they want anyway. How would this feature affect anything?
House calls for government to end fetal tissue research funding in fiery hearing
Its electric, so no fumes, and since it sucks instead of blows I don't have to worry as much about annoying passers-by with dust. Sadly it still makes noise, of course, though its far quieter than the backpack blowers the author is talking about.