There is an extreme overabundance of outdoor nighttime lighting in the US along with most of the developed world. Extremely expensive to power and maintain, the pressure has been to move to LED outdoor lighting with lower power consumption and much longer life. Unfortunately there are problems as most emit far too much blue light disrupting wildlife and leading to human health issues. While there is a shift to 'warmer' LED lights, a better solution would be to rethink how much outdoor lighting should be used and move to smarter designs that dim or turn off when not needed along with well designed lamp shades to direct light only where it is needed.
It is well established that equating calories burned from exercise with those taken in doesn’t work .. basically we can’t measure the input numbers well enough and calculate a personal metabolism accurately enough to make a meaninful call. In fact evidence suggests fitness trackers are a bit worse than no tracker if weight loss is the goal (over time means > one year).
A new study has a twist .. lifestyle intervention plus a fitness tracker . The wearable was only doing the exercise component. What is interesting is the people who used the fitness trackers did significantly worse than those who didn’t use one.
The caution is human metabolism and the measurement of interventions is very very tricky and it is easy for biases to creep in. Perhaps devices will get smart enough to do expert coaching, but our understanding of our social and psychological nature is probably more primitive than that of metabolism.
I still like the idea of devices for people who want one .. weight management is *much* less important than physical conditioning. It has been shown that motivated people tend to increase their level of conditioning independent of device .. but if one fits your personality, then it probably should be considered a necessary device. I’ve seen successful exercises swear by and at fitness trackers and I’ve seen the same from people who have failed.
At any given time, there are about 200,000 vessels publicly broadcasting their location at sea through the Automatic Identification System (AIS). Their signals are picked up by dozens of satellites and thousands of terrestrial receivers. Global Fishing Watch runs this information — more than 22 million points of information per day — through machine learning classifiers to determine the type of ship (e.g., cargo, tug, sail, fishing), what kind of fishing gear (longline, purse seine, trawl) they’re using and where they’re fishing based on their movement patterns. To do this, our research partners and fishery experts have manually classified thousands of vessel tracks as training data to “teach” our algorithms what fishing looks like. We then apply that learning to the entire dataset — 37 billion points over the last 4.5 years — enabling anyone to see the individual tracks and fishing activity of every vessel along with its name and flag state….
This data can help inform sustainable policy and identify suspicious behaviors for further investigation. By understanding what areas of the ocean are being heavily fished, agencies and governments can make important decisions about how much fishing should be allowed in any given area. Often, fish populations are so depleted that the only way to ensure they are replenished is to create “no take areas” where fishing is not allowed. Our hope is that this new technology can help governments and other organizations make decisions about which areas need protection and monitor if policies are respected….
A regular reader was on a flight yesterday that mentioned three times that Samsung Note 7s were not allowed .. first in the waiting area and then by the crew as passengers entered with a box for any surrenders and finally during the flight safety spiel -- any of them can not be turned on or charged. Confidence inspiring.
There are a variety of battery chemistries under generic family label of lithium-ion batteries. There is a tradeoff between weight, power density, energy density, cost, safety, charging rate and lifetime among these. The combination of charging characteristics, the battery and its environment are very critical. Samsung blew it, but it should be a warning that you should never use a charger not specifically designed for your mobile device.