Science & TechnologyS


Galaxy

Extragalactic neutral hydrogen emission detected for the first time

FAST telescope
© unknownThe Five-hundred-meter Aperture Spherical radio Telescope (FAST) is a radio telescope located in southwest China. It consists of a fixed 500 m (1,600 ft) diameter dish constructed in a natural depression in the landscape. It is the world’s largest filled-aperture radio telescope.
The Five-hundred-meter Aperture Spherical Radio Telescope (FAST) is the largest telescope with the highest sensitivity in the world. Extragalactic neutral hydrogen detection is one of important scientific goals of FAST.

Recently, an international research team led by Dr. CHENG Cheng from Chinese Academy of Sciences South America Center for Astronomy (CASSACA) observed four extragalactic galaxies by using the FAST 19-beam receiver, and detected the neutral hydrogen line emission from three targets with only five minutes of exposure each. This is the first publication for FAST to detect extragalactic neutral hydrogen.

Brain

Mind-reading algorithm uses EEG data image reconstruction based on what we perceive

Facial imaging
© assets.newatlassimulation
A new technique developed by neuroscientists at the University of Toronto Scarborough can, for the first time, reconstruct images of what people perceive based on their brain activity gathered by EEG.

The technique developed by Dan Nemrodov, a postdoctoral fellow in Assistant Professor Adrian Nestor's lab at U of T Scarborough, is able to digitally reconstruct images seen by test subjects based on electroencephalography (EEG) data.
"When we see something, our brain creates a mental percept, which is essentially a mental impression of that thing. We were able to capture this percept using EEG to get a direct illustration of what's happening in the brain during this process."
For the study, test subjects hooked up to EEG equipment were shown images of faces. Their brain activity was recorded and then used to digitally recreate the image in the subject's mind using a technique based on machine learning algorithms.

Network

How to stop artificial intelligence being so racist and sexist

digital justice
© mattjeacock/GettyBias and injustice hidden in AI can be hard to root out.
Something is rotten at the heart of artificial intelligence. Machine learning algorithms that spot patterns in huge datasets, hold promise for everything from recommending if someone should be released on bail to estimating the likelihood of a driver having a car crash, and thus the cost of their insurance.

But these algorithms also risk being discriminatory by basing their recommendations on categories like someone's sex, sexuality, or race. So far, all attempts to de-bias our algorithms have failed.

But a new approach by Niki Kilbertus at the Max Planck Institute for Intelligent Systems in Germany and colleagues claims to offer a way to bake fairness right into the process of training algorithms.

Comment: It's odd that they're assigning terms like 'racist' and 'sexist' to a machine that has no capacity for emotional reasoning. It is literally just looking at the facts. If gay drivers are more likely to get in accidents, to take an example from above, the unbiased algorithm is going to factor that into assigning car insurance rates. Car insurance companies have been weighting rates based on gender for decades, with men getting higher rates than women because they're statistically more likely to have accidents. Is that sexist?

At the end of the day, it seems like what is really at issue is the fact that the people creating the algorithms are uncomfortable with what the data is telling them. The numbers don't care about political correctness.

See also:


Microscope 2

CRISPR gene editing in human embryos wreaks chromosomal mayhem

human embryo
© Pascal Goetgheluck/Science Photo LibraryEditing of human embryos is controversial.
Three studies showing large DNA deletions and reshuffling heighten safety concerns about heritable genome editing.

A suite of experiments that use the gene-editing tool CRISPR-Cas9 to modify human embryos have revealed how the process can make large, unwanted changes to the genome at or near the target site.

The studies were published this month on the preprint server bioRxiv, and have not yet been peer-reviewed1,2,3. But taken together, they give scientists a good look at what some say is an underappreciated risk of CRISPR-Cas9 editing. Previous experiments have revealed that the tool can make 'off target' gene mutations far from the target site, but the nearby changes identified in the latest studies can be missed by standard assessment methods.

Comment: See also:


Info

Better method to find the age of dogs in 'human years'

By mapping molecular changes in the genome over time, UC San Diego researchers developed a formula to more accurately compare dog age to human age — a tool that could also help them evaluate how well anti-aging products work.

If there's one myth that has persisted through the years without much evidence, it's this: multiply your dog's age by seven to calculate how old they are in "human years." In other words, the old adage says, a four-year-old dog is similar in physiological age to a 28-year-old person.

But a new study by researchers at University of California San Diego School of Medicine throws that idea out the window. Instead, they created a formula that more accurately compares the ages of humans and dogs. The formula is based on the changing patterns of methyl groups in dog and human genomes — how many of these chemical tags and where they're located — as they age. Since the two species don't age at the same rate over their lifespans, it turns out it's not a perfectly linear comparison, as the 1:7 years rule-of-thumb would suggest.
Dog to Human Years
© Cell PressTo calculate your dog’s age in “human years” based on epigenetics, find the dog’s age along the bottom axis and trace your finger straight up until you reach the red curve. Then trace your finger straight over to the left to find the corresponding human age.
The new methylation-based formula, published July 2 in Cell Systems, is the first that is transferrable across species. More than just a parlor trick, the researchers say it may provide a useful tool for veterinarians, and for evaluating anti-aging interventions.

Music

The western white-throated sparrow song that swept North America

white throated sparrow
The white-throated sparrow
Since 2000, a strange new type of song in white-throated sparrows has spread across the continent at stunning speed.

The birds were singing something strange.

Ken Otter and Scott Ramsay first noticed it in the early 2000s, when they were recording white-throated sparrows in Prince George, a city in western Canada. The birds are so ubiquitous across the country, and the male's song so distinct, that bird-watchers have put words to it: Oh sweet Canada, Canada, Canada. But the white-throated sparrows in Prince George were singing something different. They had lopped a note off Canada, so the song sounded more like Oh sweet Cana, Cana, Cana.

At first, Otter and Ramsay, biologists at the University of Northern British Columbia and Wilfrid Laurier University, respectively, thought they had simply discovered a new song dialect unique to sparrows in Prince George. But an even stranger pattern emerged when they and a small team of researchers spent the next two decades gathering archival recordings, crowdsourcing bird songs, and driving hundreds of miles through Canada to record white-throated sparrows. According to a new study out today, the song they first heard in Prince George had spread east across the country — at remarkable speed. By 2017, all white-throated sparrows in western Canada were singing the new song variant and half were singing it as far east as Ontario. Oh sweet Cana, Cana, Cana is taking over Canada.

Nebula

Light flows like a river when shone through a soap bubble

bubble light lazer
© Anatoly Patsyk, Uri Sivan, Mordechai Segev & Miguel A. BandresLight behaving strangely
Shine a beam of light through a soap bubble and it could behave in an unexpected way. The light may split into branches like a tree, creating many narrower beams in a phenomenon that could be used to study the curvature of space-time.

This strange branching behaviour has been observed in several different types of waves, but never before in visible light. Mordechai Segev at the Technion-Israel Institute of Technology in Haifa and his colleagues fired a laser across a membrane made of soap, similar to a normal soap bubble you would see when washing your dishes, to observe visible light branching for the first time.

"No one predicted this to happen," says Segev. "It was a complete surprise in the lab." The soap membrane had random variations in its thickness, so the researchers expected the laser beam to separate out into disordered speckles.

Comment: Check out the following short videos below to see the awesome visuals and for more on the experiments findings:






Chalkboard

Mistakes ID critics make: Protein rarity

Pushing a loaded wheelbarrow
© Matteo / CC BYPushing a loaded wheelbarrow across a flat driveway.
In previous articles, I demonstrated how substantial quantities of biological information cannot emerge through any natural process (see here and here), and I described how such information points to intelligent design. Now, I am addressing the mistakes typically made by critics who challenge these claims (see here, here, here, and here). See my post yesterday, here, on misapplying information theory.

A second category of errors relates to arguments against the conclusion that the information content of many proteins is vastly greater than what any undirected process could generate. Most of the critiques are aimed at the research of Douglas Axe that estimated the rarity of amino acid sequences corresponding to a section of a functional β-lactamase enzyme. Many of the attacks result from the skeptics' failure to properly understand Axe's 2004 article in the Journal of Molecular Biology or the underlying science.

Random Processes

The most common mistake is to appeal to studies that demonstrate that random processes can generate structures that perform very simple functions. For instance, our immunity system can manufacture at least a trillion unique antibodies, and at least one will typically bind to any invading germ. This achievement is possible since the probability is relatively high for a random search to locate an amino acid sequence that sticks to some molecule, so the required amount of new information is relatively small. For instance, only a few billion trials are needed to find an antibody that can bind to an antibiotic molecule and break it apart. The problem is that this task is much easier than randomly generating an entirely new amino acid sequence that folds into an enzyme's three-dimensional structure and performs the required complex structural (conformational) changes. Highly specified dynamic structures are required to support an enzyme's often very complex chemical activities.

Info

New evidence of a giant 'lava lamp' beneath the ancient Pacific

Seismic surveys find evidence of a superplume in Earth's mantle that fueled ancient megaeruptions in the Pacific.
Akatarawa Forest
© Pseudopanax, CC BY-SA 4.0One of the seismic lines that collected evidence of an ancient superplume ran through the Akatarawa Forest of New Zealand’s North Island.
Around 120 million years ago, in what's now the southwest Pacific Ocean, massive volcanic eruptions spewed out enough basalt to form a vast underwater plateau that could have covered around 1% of Earth's surface. In the aftermath, worldwide temperatures rose dramatically, contributing to the "greenhouse Earth" of the Cretaceous period — a time when dinosaurs thrived and forests carpeted Antarctica.

The source of such extreme volcanism could have been a giant mantle plume, or superplume, according to new evidence published in Science Advances in May. First proposed in the 1970s, the plume hypothesis has become the mainstream explanation for volcanism that occurs far from plate boundaries — though a vocal minority has pointed out that physical evidence for plumes' existence remains thin.

According to plume theory, a plume is born where Earth's core meets its mantle, forming an expanding blob that gradually travels toward the crust. Heat from the head of the plume is thought to melt the crust above it and cause hot spot volcanoes, like those making up the island chain of Hawaii.

Picture a lava lamp, said Simon Lamb, a geophysicist at Te Herenga Waka-Victoria University of Wellington (VUW) in New Zealand and coauthor of the new research. "Once in a while, one of these blobs is just unusually large" — a superplume, Lamb said. He and his colleague Tim Stern, also a geophysicist at VUW, said they've found some rare evidence for one.

Info

Star's mysterious disappearance hints at new type of stellar death

Luminous Star
© ESO/L. CalçadaAn artist's impression of the the luminous blue variable star that mysteriously vanished. Image caption
In 2019, scientists witnessed a massive star 2.5 million times brighter than the sun disappear without a trace.

Now, in a new paper published today (June 30) in the journal Monthly Notices of the Royal Astronomical Society, a team of space detectives (see: astrophysicists) attempt to solve the case of the disappearing star by providing several possible explanations. Of these, one twist ending stands out: Perhaps, the researchers wrote, the massive star died and collapsed into a black hole without undergoing a supernova explosion first — a truly "unprecedented" act of stellar suicide.

"We may have detected one of the most massive stars of the local universe going gently into the night," Jose Groh, an astronomer at Trinity College Dublin and a co-author of a new paper on the star, said in a statement.

"If true, this would be the first direct detection of such a monster star ending its life in this manner," study lead-author Andrew Allan, also of Trinity College, said in the statement.

The star in question, located about 75 million light-years away in the constellation Aquarius, was well studied between 2001 and 2011. The bloated orb was a superb example of a luminous blue variable (LBV) — a massive star approaching the end of its life and prone to unpredictable variations in brightness. Stars like this are rare, with only a handful confirmed in the universe so far. In 2019, Allan and colleagues hoped to use the European Southern Observatory's Very Large Telescope to learn more about the distant LBV's mysterious evolution, only to discover that the star had seemingly completely vanished from its host galaxy.