Why the aggression? This language while cool has existed for decades and never taken off. I just wanted a reason to believe it relevant so I could have an excuse to take another look.
> A high carbohydrate meal consumed prior to caffeine ingestion significantly reduced serum caffeine concentrations and delayed time to peak concentration
This is likely satire along the lines of https://en.wikipedia.org/wiki/A_Modest_Proposal. The main giveaways are the directness of the language and the time of writing (on the tail of covid when people were unironically making such proposals).
For the past 50 years western society has been transitioning from a high-trust, long-term model of employment to a low-trust, immediate payout model. Once that transition starts everyone involved frequently (rightfully) feels betrayed as the sliding trust-reality falls short of their trust-expectation. This presents as abuse and leads everyone to feel justified to commit further abuses. It takes a rarely strong leader to punch through that and re-establish a higher trust baseline and as society continues to move towards zero-trust the strength requirement to maintain that baseline increases.
As an employer you either accept that you aren't strong enough to fight it and thus try to stay ahead in how little trust you apply. Or you accept that you will pay a price (in being betrayed more than you betray and inspiring others to join in) to create and defend a higher baseline trust.
Knowing how much efficiency is lost in a low-trust environment makes dwelling on this depressing/infuriating. But unless you are a great enough leader to drag a billion people back up to a higher trust baseline, then you need to accept it or go mad in denying it.
I mention all this because in a deepening low-trust environment both employees and employers are incentivized to never acknowledge the damage done by this environment as the status quo of who wears the increasing cost of those damages is constantly renegotiated without the stabilization of trustworthy long-term expectations. All of which can surface as threads such as this one.
Ignore the title. The paper looks reasonable. It characterizes the process of break-down which will enable the design of better products in the future.
The definition of the extents of a city is completely arbitrary. For example Manhattan is only part of a city, yet the authors don't even blink at treating it alongside cities that are located all around a hilly harbor with extensive sprawl (Sydney) or that constitute an entire country (Singapore).
I am not an expert but it looks like the quanta author has invented a definition for "highly connected" because C-expander was too complicated a concept for them (me too). There are older competing definitions for "highly connected" along the lines of a graph where the number of edges is greater then half the number of vertices which is obviously insufficient to guarantee a loop.
Then they have used networks instead of graphs and added a comma, for no apparent reason.
Causes of loss of smell include but are not limited to:
* Alzheimer’s disease
* Brain aneurysm
* Brain surgery
* Cancer
* Chemical exposures to insecticides or solvents
* Diabetes
* Huntington’s disease
* Kallmann’s syndrome
* Klinefelter's syndrome
* Korsakoff’s psychosis
* Malnutrition
* Multiple sclerosis
* Multiple system atrophy (MSA)
* Paget’s disease
* Parkinson’s disease
* Pick’s disease
* Radiation therapy
* Rhinoplasty
* Schizophrenia
* Sjorgren’s syndrome
* Traumatic brain injury
* Zinc deficiency (why obsess over this one?)
Zinc is not used to treat symptoms, the mechanism (observed in a test tube) is that intercellular zinc inhibits RNA virus replication.
Zinc supplementation above the RDI is NOT recommended for treatment of covid. Long term excess zinc can cause potentially irreversible neurologic manifestations (i.e., myelopathy, paresthesia, ataxia, spasticity).
The bee results are suss. Bees use pheromones to mark things so there may be no socially learned behavior beyond seeking food at a marked source which is built in. There's also the small sample size which the article mentions. It is still cool that they learned the blue/red trick in the first place either way.
Perhaps we should not look to The Atlantic to make medical treatment and standards recommendations. The article is a good summary of the situation, makes a good case for complicating factors (comorbidities in adult adhd, rogue prescribers in telehealth), and is largely fact focused.
That said, the answer to "what is the solution" is that it takes time to figure out what the best treatment plans are and feedback success and failure into diagnostics. It is a process of never-ending improvement. For example depression was known to Hippocrates and despite that multiple thousands of years of history we still don't have a 100% success rate diagnostics and treatment for it. Adult ADHD is only about 10 years old. Odds are by the time it grows up the current symptoms will lessen. But in the meantime, people seeking treatment for it should be aware that they are part of an ongoing experiment, i.e. they are in the Wild West.
> The researchers examined productivity trends in 43 industries — including chemical manufacturing, retail trade, and accommodation and food services — and assigned a “teleworkability” score based on the occupational mix of each industry and the share of jobs that can be done remotely.
They never actually measured the amount of work hours being done remotely. They never measured the number of employees working remotely. They just had some guy make up "remote-ability" numbers for each sector and then carefully pretended to be doing science. Meanwhile all these sectors have seen unrelated changes to operating environment that have not been controlled for. It's BS on BS on BS.
Overall I am not even convinced their remote work metric would correlate with hours worked remotely.
The papers title makes a stronger claim than the abstract. The abstract makes a stronger claim than the paper. It is like they couldn't decide what paper to write.
Edit: Thinking about it, this is exactly what you might expect from a paper written by a stochastic mix of experts.