In the abstract they argue that this is because the woodland improvement program located woods in socioeconomically deprived areas. But in general they shouldn't be making any causal claims with observational data like this. It's a frequent problem that popular press takes a study and reframes an association as causation for their story.
For reference, considering you can purchase a 12-month Spotify Premium subscription via a $99 gift card at the moment, that same $6k could be used for 60 years of Spotify Premium.
They probably hitched a ride on human travel. The article says "It’s unclear how the mosquito arrived in Iceland, but theories include the possibility it came via ships or containers."
I have a single night of sleep logged to Apple Health in the last 6-months, and the 6 month average exactly matches that single night. It seems that the author of this app is assuming that Apple is using the wrong denominator when calculating the 6-month average, but I think there could be other explanations for the difference in calculated values. For example how the two approaches might deal with data from different sleep data sources within Apple Health from the same date, how multiple sleep sessions on the same calendar date are merged prior to averaging, etc.
Also consider that traffic violations are a source of funding for a municipality. Using technology to eliminate violations completely may not be desirable.
Also keep in mind that the Daylight doesn't have an e-ink screen like a Kindle. It is instead a grayscale transflective LCD. That is why it is able to have a high refresh rate like other LCD panels.
Yes, FEMA is federal. If eliminating FEMA lowers federal taxes states could increase their state taxes to compensate and each have their own emergency management agencies. But generally it seems like having 50+ emergency management agencies is less efficient than having 1.
The first clip just seems like they blurred the background for that shot. Maybe because there were people walking in the background, they felt they needed to obscure them.
ShazamKit is not third party, it is provided by Apple. Their website states "The audio stream is processed locally on your device and never recorded.", though this could refer to the audio statistics being collected locally, I assume ShazamKit still contacts an Apple API to get the classification.
Typically eye-trackers work by illuminating the eyes with near infrared light and using infrared cameras. This creates a higher contrast image of the pupils, etc. I assume Apple is doing this in the Vision Pro. Eye-tracking can also be done with just visible light, though. Apple has the benefit of knowing where all the user interface elements are on screen, so eye-tracking in this on the iPhone or iPad doesn't need to be high precision. Knowledge of the position of the items can help to reduce the uncertainty of what is being fixated on.