cropsieboss
Company that has all the roads and surroundings scanned and knows exactly where the car is at all times is at a huge advantage.
Partially observed world gets your head hurting. Not modelling other cars practically makes everything useless.
If you can't hallucinate everything around you as close as possible, the problem gets very very difficult.
I'm pretty sure there are companies close to solving the problem, as they have more data and some also know practically every road in the modern world.
Modelling and tracking other cars is a bigger issue, including pedestrians.
Most of nitrogen is ferilizers and cattle poop. Most of plants grown and farmland used is for cattle.
I don't think farmers would care if they had nitrogen sucking gmo plants for their cattle since they already feed them tons of GMO.
Plants grown for human consumption are invisible in the profiler.
http://jaoa.org/article.aspx?articleid=2517494
For example, here sample size is huge, USA population gets significant increased risk, while EU population does not. Mixing the two together would result in a smaller but still significant increased risk.
Given the size, it's quite clear that USA population has many other confounding factors that cannot be eliminated by mathematics alone (there is no control).
Just clicking on create issue takes 4 seconds. Switching between issue types takes about 1.5 seconds.
This should all be just simple javascript change and layout calculation but there seem to be network requests for every single click.
To me, that sucks a little.
edit: just checked and your version is indeed parallel. Interesting.
I thought only diets and lifestyle can be healthy, regardless of what a single ingredient can do.
Also, if it is vegetable oil, how come there's protein in it? I thought oil is just fat? There's 4 grams of protein in 100mL of soy/oat milk (about the same as cow breast milk). Almonds on the other hand are a big scam with only 0.x protein, water with some flavour.
Second biggest is cars and animal agriculture.
So, three most convenient things in the modern world, cooling, transportation and abundance of umami luxurious products and yet what, one industry to blame?
Climate change is happening because of the way society works, individuals works. It is a social problem.
What you need to fight is the ingrained greedy human nature. You need to fight the desire for convenience. Desire for luxury.
Many people will never inconvenience themselves by not eating animal products or by not driving a car, or by not cooling their rooms.
It's not the fault of the industry. It's a collective guilt shared by all and given that no one teaches you anywhere to fight against your greedy nature (well, maybe some religions somewhere do it right) I do not see how this will stop.
As for protein isolates:
> That's why animals on soy feed need lysine supplements for normal growth.
No wonder eating a mono diet requires supplements. How can we expect protein isolates from a legume to be a super-powerful all in one food?
>Nitrites, which are potent carcinogens, are formed during spray-drying.
Cool thing to leave out that nitrites are used as preservatives and colorings in meat and consuming them without the added phytonutrients (available only in plants) removes the blocking effect and cancerous nitrosamines form.
Just check out google scholar for nitrosamines and meat. It's all over the place, hundreds of studies.
So, Stephanie Seneff is just scaremongering without sufficient evidence. Just like any food/ingredient demonization.
> Phytic acid remaining in these soy products greatly inhibits zinc and iron absorption
"phytic acid cancer" on google scholar, good thing it blocks heme iron absorption, wouldn't like to over-absorb it and get cancer.
> test animals fed SPI develop enlarged organs, particularly the pancreas and thyroid gland, and increased deposition of fatty acids in the liver.
Just like feeding mice 20% calories from casein protein (in milk) gets them cancer, and you can turn it off and on by lowering/increasing the casein amount. should we now scaremonger and tell that milk should be avoided, maybe whey protein also because it's filled with casein?
Yeah, I'm pretty sure there are crazy people out there willing to eat just whey powder and soy protein isolate all day long. For the sane folks, it's probably safe.
You can list out all the negatives, leaving positives out and make a demonizing picture out of any food/ingredient.
[1]: https://en.wikipedia.org/wiki/Arctic_methane_emissions#Contr...
We did increase the circulating amount by a very small margin. Large enough so that it accumulated over the years.
This of course led to a feedback loop.
Arctic ice has 1400Gt of carbon locked up as methane. [1] This is equivalent to 1400/10 = 140 years of human 2016 activity. [2] If ice starts to melt, we are doomed.
https://www.ncbi.nlm.nih.gov/pubmed/19524224
Any kind of food demonizing is not good.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1480510/
At least it's several times bigger than European and USA consumption.
Citation required for what? The fact that they eat more soy?
Demonizing soy is just a fad. Like demonizing meat or dairy.
Most of USA and Europe eats female mammals like cows and chickens, are we going to make claims that female animal estrogen contained in that flesh makes men infertile? Seems like a much more probable cause than phytoestrogen from plants, not that I would be irresposible to make that argument without any evidence, as is the case for soy.
Points below properly define problem above:
* capacitated pickup and delivery with time windows (NP-hard)
* capacity of around 20-60
* every child has to stay maximum T minutes in the bus from the moment it is picked up
* each bus can work simultaneously on delivering to multiple schools (covered by standard p&d algorithms)
* additional routing/map constraints for roads/vehicle constraints - like minibus drivers being constrained to ares with different housing etc.
I'm pretty sure the third point is a tricky one, implementation and speed wise, last one too. I'm skeptical that your API could solve the problem for 600 vehicles off-the-shelf. Not to mention that pickup&delivery slows things down extremely compared to capacitated VRP. Each optimising step is a venture into heavy graph theory. Or one can use easy heuristics and fail miserably by exploring too little of constrained space.
I'm skeptical of these large savings. I've personally worked with some top logistics people that did amazing things with pencils and rulers. Trumping these methods gained savings of about 10-15%.
Not to mention the optimizing time. It is impossible (if algorithm is not heavily optimized) to search through enough space for these heavily constrained problems in short amount of time (couple of minutes) to get 60% savings. I might be too critical, but I doubt that Common Lisp algorithm can achieve those kinds of speeds.
What if a child was forgotten, how much will the replanning time impact the real world workflow. All sorts of invisible issues.
What do you think what kinds of algorithm makes schedules for trashbin collection, newspaper delivery, sodapop machines etc.
If you aren't ondemand and there's multiple drivers there is someone who can optimize it to (almost) optimality.
This is a pickup & delivery problem and the algorithms exist and work in practice for decades.
No one refers to any points other than those which they interpret to be oppressive and offensive (mostly points having to do with female/male differences which are real and exist). The hypothesis put out are there to further the discussion, not to be taken as facts (there are words like "may", "in part" all over the place yet we interpret "may" as "is", and "in part" as "mostly").
What about Google's unscientific, hidden, irrational methods of fixing bias?
Unconscious bias training is unscientific yet they practice it. It does not work, or at worst it is harmful. Facebook does it too.
These methods come from one of the hardest fields of science - psychology. We know how much the studies aren't reproducible, repeatable, some results even depend on time (more known the methods the less they work).
Why is no one looking at those points?
https://www.youtube.com/watch?v=SEDuVF7kiPU
Watched the interview above and cannot believe how media and almost every individual responding put this individual in some kind of aggressive, oppressive, racist frame.
Given the peer-reviewed sources in the video description of the interview no one sane enough could believe that the guy was being malevolent.
The real guilt goes to the leaker, the dramatizer and the reactionist.
I'm officially stopping with the tracking of this topic. It frustrates me that so many brilliant individuals become ideologues and witch hunters incapable of continuing the discussion. It saddens me that "discussion" has turned into calling this an "anti-diversity" memo and silencing.
https://www.researchgate.net/profile/Frederick_Oswald/public...
https://www.researchgate.net/publication/308926636_A_Meta-An...
I can provide more if you like.
Show me a study that measures gender bias, does an educational intervention and succeeds in improving that measure significantly. None exist. At best they do not work.
> I'll let you do the homework finding citations about how you're wrong here.
Cool, good thing I did my homework. I'm quite aware that percentage of women in STEM is increasing every year. Check out research for countries that have successfully removed gender roles.
> Nice anecdote! Is there anything else about high school that you'd like to generalize to the entire population of the world?
Good thing that there's research confirming the same thing. Although I was not generalizing. The 3000 students and the results of questionnaire every year are pretty consistent. I'm sure someone will do a study on the data, will link to it surely when it happens. Although, I'm sure it will not matter given that you value meta-analysis but only those that confirm your bias.
There was no where a statement saying women are of inferior abilities because scientifically, they are not. There were statements that showed women value some things differently than men. For example, lack of dress code is a big turn off for women, yet men do not care.
If you need to navigate in that kind of culture you should make work positions appealing to women. Is it possible to make CS engineering appealing? Of course it is. Stanford did it. Make it more aesthetically pleasing, less sweat-stinking geeky and women will come.
Can an engineering job be more social? Yes, in some engineering roles. In some it cannot. These roles will on average be less appealing to women. Maybe there's a lack of work processes making use of these social working activities. Maybe there aren't many that could incorporate a social component. This would mean women might not like these kinds of work environments. That is the only thing implied by the text you quoted.
No where in the document was there an implication that women are of inferior abilities. It's just an interpretation that everyone decided to use.
https://assets.documentcloud.org/documents/3914586/Googles-I...
Here's the unedited document with all the references. I'd like to see that.
All of the data he shows are what scientific research in psychology concluded. He then does some leaps to deduce why some of these differences, that are scientific facts, could create inequalities. This part asks for discussion which he didn't get at all. Of course his theorizing is not a fact, therefore he wants discussion, additional data, and openess of some of these diversity processes.
"As society becomes more prosperous and more egalitarian, innate dispositional differences between men and women have more space to develop and the gap that exists between men and women in their personality traits becomes wider."
The above happens in Norway and Sweden where women hate STEM even more. Yet, I believe, both have schools not using any gender role bias for decades.
Unconscious bias training that Google uses is in worst case brain washing, best case does not work at all. So that critique was in place.
Although, he looks much older than 15 years ago.