Ask any scientist -- for every "Eureka!" moment, there's a lot of less-than-glamorous work behind the scenes. Making discoveries about everything from a new species of dinosaur to insights about climate change entails some slogging through seemingly endless data and measurements that can be mind-numbing in large doses. Community science shares the burden with volunteers who help out, for even just a few minutes, on collecting data and putting it into a format that scientists can use. But the question remains how useful these data actually are for scientists. A new study authored by a combination of high school students, undergrads and grad students, and professional scientists showed that when museumgoers did a community science activity in an exhibit, the data they produced were largely accurate, supporting the argument that community science is a viable way to tackle big research projects.

"It was surprising how all age groups from young children, families, youth, and adults were able to generate high-quality taxonomic data sets, making observations and preparing measurements, and at the same time empowering community scientists through authentic contributions to science," says Matt von Konrat, an author of the paper in the journal Research Ideas and Outcomes and the head of plant collections at Chicago's Field Museum.

"This study demonstrates the wonderful scientific outcomes that occur when an entire community comes together," says Melanie Pivarski, an associate professor of mathematics at Roosevelt University and the study's lead author. "We were able to combine a small piece of the Field Museum's vast collections, their scientific knowledge and exhibit creation expertise, the observational skills of biology interns at Northeastern Illinois University led by our collaborator Tom Campbell, and our Roosevelt University student's data science expertise. The creation of this set of high-quality data was a true community effort!"

The study focuses on an activity in an exhibition at the Field Museum, in which visitors could partake in a community science project. (Community science is sometimes called citizen science, but since not everyone is a citizen, community science is a more inclusive name.) In the community science activity, museumgoers used a large digital touchscreen to measure the microscopic leaves photographs of plants called liverworts.

These tiny plants, the size of an eyelash, are sensitive to climate change, and they can act like a canary in a coal mine to let scientists know about how climate change is affecting a region. It's helpful for scientists to know what kinds of liverworts are present in an area, but since the plants are so tiny, it's hard to tell them apart. The sizes of their leaves (or rather, lobes -- these are some of the most ancient land plants on Earth, and they evolved before true leaves had formed) can hint at their species. But it would take ages for any one scientist to measure all the leaves of the specimens in the Field's collection. Enter the community scientists.

"Drawing a fine line to measure the lobe of a liverwort for a few hours can be mentally strenuous, so it's great to have community scientists take a few minutes out of their day using fresh eyes to help measure a plant leaf. A few community scientists who've helped with classifying acknowledged how exciting it is knowing they are playing a helping hand in scientific discovery,"says Heaven Wade, a research assistant at the Field Museum who began working on the MicroPlants project as an undergraduate intern.

Community scientists using the digital platform measured thousands of microscopic liverwort leaves over the course of two years.

"At the beginning, we needed to find a way to sort the high quality measurements out from the rest. We didn't know if there would be kids drawing pictures on the touchscreen instead of measuring leaves or if they'd be able to follow the tutorial as well as the adults did. We also needed to be able to automate a method to determine the accuracy of these higher quality measurements," says Pivarski.

To answer these questions, Pivarski worked with her students at Roosevelt University to analyze the data. They compared measurements taken by the community scientists with measurements done by experts on a couple "test" lobes; based on that proof of concept, they went on to analyze the thousands of other leaf measurements. The results were surprising.

"We were amazed at how wonderfully children did at this task; it was counter to our initial expectations. The majority of measurements were high quality. This allowed my students to create an automated process that produced an accurate set of MicroPlant measurements from the larger dataset," says Pivarski.

The researchers say that the study supports the argument that community science is valuable not just as a teaching tool to get people interested in science, but as a valid means of data collection.

"Biological collections are uniquely poised to inform the stewardship of life on Earth in a time of cataclysmic biodiversity loss, yet efforts to fully leverage collections are impeded by a lack of trained taxonomists. Crowd-sourced data collection projects like these have the potential to greatly accelerate biodiversity discovery and documentation from digital images of scientific specimens," says von Konrat.

Credit: Science Daily Article

Source: Field Museum

Summary: Researchers have found that blood flow in the brain capillaries, which is important for oxygen/nutrient delivery and waste removal, was increased during rapid eye movement sleep in mice. Adenosine A2a receptors might be at least partially responsible for this increased blood flow. These findings bring new hope for understanding the function of sleep and developing treatments for neurodegenerative diseases that involve the buildup of waste products in the brain, such as Alzheimer's disease.

Scientists have long wondered why almost all animals sleep, despite the disadvantages to survival of being unconscious. Now, researchers led by a team from the University of Tsukuba have found new evidence of brain refreshing that takes place during a specific phase of sleep: rapid eye movement (REM) sleep, which is when you tend to dream a lot.

Previous studies have measured differences in blood flow in the brain between REM sleep, non-REM sleep, and wakefulness using various methods, with conflicting results. In their latest work, the Tsukuba-led team used a technique to directly visualize the movement of red blood cells in the brain capillaries (where nutrients and waste products are exchanged between brain cells and blood) of mice during awake and asleep states.

"We used a dye to make the brain blood vessels visible under fluorescent light, using a technique known as two-photon microscopy," says senior author of the study Professor Yu Hayashi. "In this way, we could directly observe the red blood cells in capillaries of the neocortex in non-anesthetized mice."

The researchers also measured electrical activity in the brain to identify REM sleep, non-REM sleep, and wakefulness, and looked for differences in blood flow between these phases.

"We were surprised by the results," explains Professor Hayashi. "There was a massive flow of red blood cells through the brain capillaries during REM sleep, but no difference between non-REM sleep and the awake state, showing that REM sleep is a unique state"

The research team then disrupted the mice's sleep, resulting in "rebound" REM sleep -- a stronger form of REM sleep to compensate for the earlier disruption. Blood flow in the brain was further increased during rebound REM sleep, suggesting an association between blood flow and REM sleep strength. However, when the researchers repeated the same experiments in mice without adenosine A2a receptors (the receptors whose blockade makes you feel more awake after drinking coffee), there was less of an increase in blood flow during REM sleep, even during rebound REM sleep.

"These results suggest that adenosine A2a receptors may be responsible for at least some of the changes in blood flow in the brain during REM sleep," says Professor Hayashi.

Given that reduced blood flow in the brain and decreased REM sleep are correlated with the development of Alzheimer's disease, which involves the buildup of waste products in the brain, it may be interesting to address whether increased blood flow in the brain capillaries during REM sleep is important for waste removal from the brain. This study lays preliminary groundwork for future investigations into the role of adenosine A2a receptors in this process, which could ultimately lead to the development of new treatments for conditions such as Alzheimer's disease.

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Source: University of Tsukuba

When people see a toothbrush, a car, a tree -- any individual object -- their brain automatically associates it with other things it naturally occurs with, allowing humans to build context for their surroundings and set expectations for the world.

By using machine-learning and brain imaging, researchers measured the extent of the "co-occurrence" phenomenon and identified the brain region involved. The findings appear in Nature Communications.

"When we see a refrigerator, we think we're just looking at a refrigerator, but in our mind, we're also calling up all the other things in a kitchen that we associate with a refrigerator," said corresponding author Mick Bonner, a Johns Hopkins University cognitive scientist. "This is the first time anyone has quantified this and identified the brain region where it happens."

In a two-part study, Bonner and co-author, Russell Epstein, a psychology professor at the University of Pennsylvania, used a database with thousands of scenic photos with every object labeled. There were pictures of household scenes, city life, nature -- and the pictures had labels for every mug, car, tree, etc. To quantify object co-occurrences, or how often certain objects appeared with others, they created a statistical model and algorithm that demonstrated the likelihood of seeing a pen if you saw a keyboard, or seeing a boat if you saw a dishwasher.

With these contextual associations quantified, the researchers next attempted to map the brain region that handles the links.

While subjects were having their brain activity monitored with functional magnetic resonance imaging, or fMRI, the team showed them pictures of individual objects and looked for evidence of a region whose responses tracked this co-occurrence information. The spot they identified was a region in the visual cortex commonly associated with the processing of spatial scenes.

"When you look at a plane, this region signals sky and clouds and all the other things,quot; Bonner said. "This region of the brain long thought to process the spatial environment is also coding information about what things go together in the world."

Researchers have long-known that people are slower to recognize objects out of context. The team believes this is the first large-scale experiment to quantify the associations between objects in the visual environment as well as the first insight into how this visual context is represented in the brain.

"We show in a fine-grained way that the brain actually seems to represent this rich statistical information," Bonner said.

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Source: Johns Hopkins University

The stink of ammonia in urine, sweat, and rotting meat repels humans, but many insects find ammonia alluring. Now, UConn researchers have figured out how the annoying insects smell it, a discovery that could lead to better ways to make them buzz off.

The sense of smell is enormously important. Mammals devote a third of their genetic code to odor receptors found in the nose, and have more than 1,000 different kinds that allow us to smell an estimated trillion different odors.

Flies don't have noses. Instead, they smell with their antenna. Each antenna is covered with tiny hairs called sensilla. Each sensilla contains a few neurons -- fly brain cells. Each neuron expresses one type of odor receptor, and they all fall into two main classes. Or so scientists thought.

But recent work by UConn neuroscientist Karen Menuz and her colleagues, reported online in June in Current Biology, identified a new type of odor neuron devoted to sniffing ammonia. And the receptor it uses is unlike any other odor receptor known.

Flies and other insects use the scent of ammonia to find food sources. Mosquitoes find humans to bite by following the faint scent of ammonia in our sweat, along with other clues. Many crop pests do the same, locating fruit and agricultural products to infest and consume. "When an odor binds to a receptor, the cell depolarizes, and sends a signal saying 'hey, the odor is here!' Insects are small, and odors come in plumes, so most insects will fly straight as long as the concentration is the same or growing. If they lose the odor plume, they'll do a casting behavior, flying in zig zags to find it," Menuz says.

Knowing exactly how the insects smell ammonia might yield effective ways to block them from following that scent plume -- and from finding us and our crops.

But figuring out exactly how and what a fly smells is tricky. Menuz and her colleagues are able to gently hold a fly down and use incredibly fine pieces of glass to probe individual neurons in sensilla on the fly's antenna. Then they let the ammonia waft.

They probed all three types of scent neurons in the flies' sensilla, but they didn't respond to ammonia. But the fly was obviously smelling it. So the researchers realized there had to be a fourth scent neuron they hadn't known was there. And they found it -- but it didn't seem to have the usual odor receptors on it. It was covered in ammonia transporter (Amt) a molecule that is known to allow ammonia in and out of cells.

No one had ever known a transporter molecule to also act as an odor receptor. But there it was. When they selectively killed off only that type of neuron, the flies did not respond to ammonia at all. And when the team forced scent neurons that don't normally respond to ammonia to express Amt on their surfaces, those neurons began responding to ammonia, too.

The team hopes to learn whether mosquitoes use the same system to smell ammonia. If it's used by both mosquitoes and flies, it's a good bet the Amt receptor-as-sniffer is used by all insects, and developing ways to block Amt could be an effective way to protect people and crops from pests attracted to ammonia.

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Humans can observe what and where something happens around them with their hearing, as long as sound frequencies lie between 20 Hz and 2,000 Hz. Researchers at Aalto University have now developed a new audio technique that enables people to also hear ultrasonic sources that generate sound at frequencies above 20,000 Hz with simultaneous perception of their direction. The results have been published in Scientific Reports on 2 June 2021.

'In our study, we used bats in their natural habitat as sources of ultrasonic sound. With our new technique, we can now hear the directions-of-arrival of bat sounds, which means we can track bats in flight and hear where they are -- we're essentially giving ourselves super hearing,' says Professor Ville Pulkki from Aalto University.

Small devices have been used before to listen to bats but previous versions haven't allowed listeners to locate the bats, just hear them. With their device the researchers record ultrasound using an array of microphones flush mounted and uniformly distributed on the surface of a small sphere. After the signal has been pitch-shifted to audible frequencies, the sound is played back on the headphones immediately. Currently, the pitch-shifting is performed on a computer, but, in the future, it could be done with electronics attached to the headphones.

'A sound-field analysis is performed on the microphone signals, and as a result we obtain the most prominent direction of the ultrasonic sound field and a parameter that suggests that the sound comes only from a single source. After this, a single microphone signal is brought to the audible frequency range of human hearing and its single-source signal is played back on the headphones so that the listener can perceive the source from the direction the sound was analysed to arrive,' Pulkki says.

On top of its popular appeal, the technique has tangible real-world applications.

'In science and art, people have always been interested in how they could improve their senses. Finding sources of ultrasonic sound is also useful in many practical situations, such as finding leaks in pressurized gas pipes. Minor pipe leaks often produce strong ultrasound emissions not detected by normal hearing. The device allows us to spot the sound source quickly,' Pulkki explains.

'Sometimes, damaged electrical equipment also emit ultrasound, and the device could be used for locating faulty equipment faster in places such as data centres,' he continues.

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John Stewart Bell's eponymous theorem and inequalities set out, mathematically, the contrast between quantum mechanical theories and local realism. They are used in quantum information, which has evolving applications in security, cryptography and quantum computing.

The distinguished quantum physicist John Stewart Bell (1928-1990) is best known for the eponymous theorem that proved current understanding of quantum mechanics to be incompatible with local hidden variable theories.

Thirty years after his death, his long-standing collaborator Reinhold Bertlmann of the University of Vienna, Austria, has reviewed his thinking in a paper for EPJ H, "Real or Not Real: That is the question". In this historical and personal account, Bertlmann aims to introduce his readers to Bell's concepts of reality and contrast them with some of his own ideas of virtuality.

Bell spent most of his working life at CERN in Geneva, Switzerland, and Bertlmann first met him when he took up a short-term fellowship there in 1978. Bell had first presented his theorem in a seminal paper published in 1964, but this was largely neglected until the 1980s and the introduction of quantum information.

Bertlmann discusses the concept of Bell inequalities, which arise through thought experiments in which a pair of spin-- particles propagate in opposite directions and are measured by independent observers, Alice and Bob. The Bell inequality distinguishes between local realism -- the 'common sense' view in which Alice's observations do not depend on Bob's, and vice versa -- and quantum mechanics, or, specifically, quantum entanglement. Two quantum particles, such as those in the Alice-Bob situation, are entangled when the state measured by one observer instantaneously influences that of the other. This theory is the basis of quantum information.

And quantum information is no longer just an abstruse theory. It is finding applications in fields as diverse as security protocols, cryptography and quantum computing. "Bell's scientific legacy can be seen in these, as well as in his contributions to quantum field theory," concludes Bertlmann. "And he will also be remembered for his critical thought, honesty, modesty and support for the underprivileged."

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