A Reminder That NASA Isn’t The Only Space Agency

A neural network invents some pies

(Pie -> cat courtesy of https://affinelayer.com/pixsrv/ )

I work with neural networks, which are a type of machine learning computer program that learn by looking at examples. They’re used for all sorts of serious applications, like facial recognition and ad targeting and language translation. I, however, give them silly datasets and ask them to do their best.

So, for my latest experiment, I collected the titles of 2237 sweet and savory pie recipes from a variety of sources including Wikipedia and David Shields. I simply gave them to a neural network with no explanation (I never give it an explanation) and asked it to try to generate more.

Its very first attempt left something to be desired, but it had figured out that "P”, “i”, and “e” were important somehow.

e Piee  i m t iee ic ic Pa ePeeetae  a   e eee  ema iPPeaia eieer   i   i i  ie e eciie Pe eaei a

Second checkpoint. Progress: Pie.

Pie Pee Pie Pimi Pie Pim Cue Pie Pie (er Wie Pae Pim Piu Pie Pim Piea Cre Pia Pie Pim Pim Pie Pie Piee Pie Piee

This is expected, since the word “pie” is both simple and by far the most common word in the dataset. It stays in the stage above for rather a while, able to spell only “Pie” and nothing else. It’s like evolution trying to get past the single-celled organism stage. After 4x more time has elapsed, it finally adds a few more words: “apple”, “cream”, and “tart”. Then, at the sixth checkpoint, “pecan”.

Seventh checkpoint: These are definitely pies. We are still working on spelling “strawberry”, however.

Boatin Batan Pie Shrawberry Pie With An Cream Pie Cream Pie Sweesh Pie Ipple Pie Wrasle Cream Pie Swrawberry Pie Cream Pie Sae Fart Tart Cheem Pie Sprawberry Cream Pie Cream Pie

10th checkpoint. Still working.

Coscard Pie Tluste Trenss Pie Wot Flustickann Fart Oag’s Apple Pie Daush Flumberry O Cheesaliane Rutter Chocklnd Apple Rhupperry pie Flonberry Peran Pie Blumbberry Cream Pie Futters Whabarb Wottiry Rasty Pasty Kamphible Idponsible Swarlot Cream Cream Cront

16th checkpoint. Showing some signs of improvement? Maybe. It thinks Qtrupberscotch is a thing.

Buttermitk Tlreed whonkie Pie Spiatake Bog Pastry Taco Custard Pie Apple Pie With Pharf Calamed apple Freech Fodge Cranberry Rars Farb Fart Feep-Lisf Pie With Qpecisn-3rnemerry Fluit Turd Turbyy Raisin Pie Forp Damelnut Pie Flazed Berry Pie Figi’s Chicken Sugar Pie Sauce and Butterm’s Spustacian Pie Fill Pie With Boubber Pie Bok Pie Booble Rurble Shepherd’s Parfate Ner with Cocoatu Vnd Pie Iiakiay Coconate Meringue Pie With Spiced Qtrupberscotch Apple Pie Bustard Chiffon Pie

Finally we arrive at what, according to the neural network, is Peak Pie. It tracks its own progress by testing itself against the original dataset and scoring itself, and here is where it thinks it did the best.

It did in fact come up with some that might actually work, in a ridiculously-decadent sort of way.

Baked Cream Puff Cake Four Cream Pie Reese’s Pecan Pie Fried Cream Pies Eggnog Peach Pie #2 Fried Pumpkin Pie Whopper pie Rice Krispie-Chiffon Pie Apple Pie With Fudge Treats Marshmallow Squash Pie Pumpkin Pie with Caramelized Pie Butter Pie

But these don’t sound very good actually.

Strawberry Ham Pie Vegetable Pecan Pie Turd Apple Pie Fillings  Pin Truffle Pie Fail Crunch Pie Crust Turf Crust Pot Beep Pies Crust Florid Pumpkin Pie Meat-de-Topping Parades Or Meat Pies Or Cake #1 Milk Harvest Apple Pie Ice Finger Sugar Pie Amazon Apple Pie Prize Wool Pie Snood Pie Turkey Cinnamon Almond-Pumpkin Pie With Fingermilk Pumpkin Pie With Cheddar Cookie Fish Strawberry Pie Butterscotch Bean Pie Impossible Maple Spinach Apple Pie Strawberry-Onions Marshmallow Cracker Pie Filling Caribou Meringue Pie

And I have no what these are:

Stramberiy Cheese Pie The pon Pie Dississippi Mish  Boopie Crust Liger Strudel Free pie Sneak Pie Tear pie Basic France Pie Baked Trance pie Shepherd’s Finger Tart Buster’s Fib Lemon Pie Worf Butterscotch Pie Scent Whoopie Grand Prize Winning I*iple Cromberry Yas Law-Ox Strudel Surf Pie, Blue Ulter Pie - Pitzon’s Flangerson’s Blusty Tart Fresh Pour Pie Mur’s Tartless Tart

More of the neural network’s attempts to understand what humans like to eat:

Perhaps my favorite: Small Sandwiches

All my other neural network recipe experiments here.

Want more than that? I’ve got a bunch more recipes that I couldn’t fit in this post. Enter your email here and I’ll send you 38 more selected recipes.

Want to help with neural network experiments? For NaNoWriMo I’m crowdsourcing a dataset of novel first lines, after the neural network had trouble with a too-small dataset. Go to this form (no email necessary) and enter the first line of your novel, or your favorite novel, or of every novel on your bookshelf. You can enter as many as you like. At the end of the month, I’ll hopefully have enough sentences to give this another try.

FDA bans antibacterial soaps; “No scientific evidence” they’re safe, effective

Ban applies to soaps with any of 19 chemicals, including triclosan.

As Ars has reported previously, scientists have found that triclosan and other antimicrobial soaps have little benefit to consumers and may actually pose risks. These include bolstering antibiotic resistant microbes, giving opportunistic pathogens a leg up, and disrupting microbiomes. In its final ruling, issued Friday, the FDA seemed to agree. “Consumers may think antibacterial washes are more effective at preventing the spread of germs, but we have no scientific evidence that they are any better than plain soap and water,” Janet Woodcock, director of the FDA’s Center for Drug Evaluation and Research (CDER), said in a statement. “In fact, some data suggests that antibacterial ingredients may do more harm than good over the long-term.”

[…]

The ruling does not affect alcohol-based hand sanitizers or wipes, which the agency is reviewing separately. It also does not affect antiseptic products used in healthcare settings.

Possible case for fifth force of nature

A team of physicists at the University of California has uploaded a paper to the arXiv preprint server in which they suggest that work done by a team in Hungary last year might have revealed the existence of a fifth force of nature. Their paper has, quite naturally, caused quite a stir in the physics community as several groups have set a goal of reproducing the experiments conducted by the team at the Hungarian Academy of Science’s Institute for Nuclear Research.

The work done by the Hungarian team, led by Attila Krasznahorkay, examined the possible existence of dark photons - the analog of conventional photons but that work with dark matter. They shot protons at lithium-7 samples creating beryllium-8 nuclei, which, as it decayed, emitted pairs of electrons and positrons. Surprisingly, as they monitored the emitted pairs, instead of a consistent drop-off, there was a slight bump, which the researchers attributed to the creation of an unknown particle with a mass of approximately 17 MeV. The team uploaded their results to the arXiv server, and their paper was later published by Physical Review Letters. It attracted very little attention until the team at UoC uploaded their own paper suggesting that the new particle found by the Hungarian team was not a dark photon, but was instead possibly a protophobic X boson, which they further suggested might carry a super-short force which acts over just the width of an atomic nucleus - which would mean that it is a force that is not one of the four described as the fundamental forces that underlie modern physics.

The paper uploaded by the UoC team has created some excitement, as well as public exclamations of doubt - reports of the possibility of a fifth force of nature have been heard before, but none have panned out. But still, the idea is intriguing enough that several teams have announced plans to repeat the experiments conducted by the Hungarian team, and all eyes will be on the DarkLight experiments at the Jefferson Laboratory, where a team is also looking for evidence of dark photons - they will be shooting electrons at gas targets looking for anything with masses between 10 and 100 MeV, and now more specifically for those in the 17 MeV region. What they find, or don’t, could prove whether an elusive fifth force of nature actually exists, within a year’s time. [Image][Continue Reading→]

A new species is evolving before scientists’ eyes in the eastern United States.

Wolves faced with a diminishing number of potential mates are lowering their standards and mating with other, similar species, reported The Economist.

The interbreeding began up to 200 years ago, as European settlers pushed into southern Ontario and cleared the animal’s habitat for farming and killed a large number of the wolves that lived there.

That also allowed coyotes to spread from the prairies, and the white farmers brought dogs into the region.

Over time, wolves began mating with their new, genetically similar neighbors.

The resulting offspring — which has been called the eastern coyote or, to some, the “coywolf” — now number in the millions, according to researchers at North Carolina State University.

Interspecies-bred animals are typically less vigorous than their parents, The Economist reported — if the offspring survive at all.

That’s not the case at all with the wolf-coyote-dog hybrid, which has developed into a sum greater than the whole of its parts.

At about 55 pounds, the hybrid animal is about twice as heavy as a standard coyote, and her large jaws, faster legs and muscular body allow her to take down small deer and even hunt moose in packs, and the animal is skilled at hunting in both open terrain and dense woodland.

An analysis of 437 hybrid animals found that coyote DNA dominates her genetic makeup, with about one-tenth of its DNA from dogs, usually larger dogs such as Doberman pinschers and German shepherds, and a quarter from wolves.

The animal’s cry starts out as a deep-pitched wolf howl that morphs into higher-pitched yipping — like a coyote.

Her dog DNA may carry an additional advantage.

Some scientists think the hybrid animal is able to adapt to city life — which neither coyotes or wolves have managed to do on their own — because her dog ancestry allows her  to tolerate people and noise.

The coywolves have spread into some of the nation’s largest cities — including New York, Boston and Washington — using railway corridors.

The interbreeding allows the animal to diversify her diet and eat discarded food, along with rodents and smaller mammals — including cats, which coywolves eat skull and all — and they have evolved to become nocturnal to avoid humans.

The animals are also smart enough to learn to look both ways before crossing roads.

Not all researchers agree the animal is a distinct species, arguing that one species does not interbreed with another — although the hybrid’s existence raises the question of whether wolves and coyotes are distinct species in the first place.

But scientists who have studied the animal say the mixing of genes has been much faster, extensive and transformational than anyone had noticed until fairly recently.

“(This) amazing contemporary evolution story (is) happening right underneath our nose,” said Roland Kays, a researcher at North Carolina State.

Watch this report on coywolves.

Raw Story

Now You Know (Source)

'Rollie pollies' remove heavy metals from soil, stabilizing growing conditions, protecting groundwater

'Rollie pollies' remove heavy metals from soil, stabilizing growing conditions, protecting groundwater

i’m proud of them

(Image caption: The empty stomach releases the hormone called ghrelin. By receiving ghrelin, the hypothalamus in the brain senses hunger and produces “hunger signaling” through the action of neuropeptide Y (NPY). The hunger signaling activates neurons in the reticular formation of the medulla oblongata, which then inhibit sympathetic output to reduce metabolic heat production and simultaneously provide masticatory motor rhythm to facilitate feeding. Credit: © 2017 Yoshiko Nakamura)

New Insights into Brain Circuit for Hunger Responses during Starvation

The human body responds to starving conditions, such as famine, to promote the chance of survival. It reduces energy expenditure by stopping heat production and promotes feeding behavior. These “hunger responses” are activated by the feeling of hunger in the stomach and are controlled by neuropeptide Y (NPY) signals released by neurons in the hypothalamus. However, how NPY signaling in the hypothalamus elicits the hunger responses has remained unknown.

Sympathetic motor neurons in the medulla oblongata are responsible for heat production by brown adipose tissue (BAT). Researchers centered at Nagoya University have now tested whether the heat-producing neurons respond to the same hypothalamic NPY signals that control hunger responses. They injected NPY into the hypothalamus of rats and tested the effect on heat production. Under normal conditions, blocking inhibitory GABAergic receptors or stimulating excitatory glutamatergic receptors in the sympathetic motor neurons induced heat production in BAT. After NPY injection, stimulating glutamatergic receptors did not produce heat, but inhibiting GABAergic receptors did. The study was reported in Cell Metabolism.

“This indicated that hypothalamic NPY signals prevent BAT thermogenesis by using inhibitory GABAergic inputs to sympathetic motor neurons,” study lead author Yoshiko Nakamura says.

Retrograde and anterograde tracing with fluorescent dyes revealed which brain region provided the inhibitory GABAergic inputs to heat-producing motor neurons.

“Tracing experiments showed that sympathetic motor neurons are directly innervated by GABAergic inputs from reticular nuclei in the medulla oblongata,” corresponding author Kazuhiro Nakamura explains, “selective activation of these GABAergic reticular neurons inhibits BAT thermogenesis.”

The researchers’ further findings showed that GABAergic inputs from medullary reticular neurons are involved in hypothalamic NPY-mediated inhibition of heat production in BAT. This hunger response circuit probably explains why anorexic individuals suffer from hypothermia.

Interestingly, stimulation of these medullary reticular neurons prompted rats to begin chewing and feeding. This effect was similar to injecting NPY into the hypothalamus, suggesting that hypothalamic NPY signaling activates reticular neurons in the medulla oblongata to promote feeding and mastication during the hunger response.

Abnormal activation of these neurons under non-starved conditions may contribute to obesity. Understanding these mechanisms could lead to development of more effective treatments for obesity.

“Surface tension dictates the spherical cap shape of small sessile drops, whereas gravity flattens larger drops into millimeter-thick flat puddles. In contrast with drops, soap bubbles remain spherical at much larger sizes. However, we demonstrate experimentally and theoretically that meter-sized bubbles also flatten under their weight, and we compute their shapes. We find that mechanics does not impose a maximum height for large soap bubbles, but, in practice, the physicochemical properties of surfactants limit the access to this self-similar regime where the height grows as the radius to the power 2/3. An exact analogy shows that the shape of giant soap bubbles is nevertheless realized by large inflatable structures.” Via.