Scientists closer to solving a superconducting puzzle with applications in medicine, transport and power transmission

Particle accelerator
Source: University of Bristol

Researchers studying the magnetic behavior of a cuprate superconductor may have explained some of the unusual properties of their conduction electrons.

Cuprate superconductors are used in levitating trains, quantum computing and power transmission. They are of a family of materials made of layers of copper oxides alternating with layers of other metal oxides, which act as charge reservoirs.

The largest use of superconductors is currently for manufacturing superconducting magnets used for medical MRI machines and for scientific applications such as particle accelerators.

For the potential applications of superconducting materials to be fully realized, developing superconductors that maintain their properties at higher temperatures is crucial for scientists. The cuprate superconductors currently exhibit relatively high transition point temperatures and therefore give scientists an opportunity to study what makes higher temperature superconductivity possible.

Study yields clues to why Alzheimer’s disease damages certain parts of the brain

Red and orange areas on these heat maps of human brains show where the gene APOE is most active (top two brain images) and where tangles of the protein tau are most concentrated (bottom two brain images). APOE is the biggest genetic risk factor for Alzheimer’s, and tau tangles drive brain damage in the disease. The similarities in the two sets of maps suggested to researchers at Washington University School of Medicine in St. Louis that APOE plays a role in making certain brain areas particularly vulnerable to Alzheimer’s damage.
Image Credit: Diana Hobbs

Memory loss is often the first sign of Alzheimer’s disease, followed by confusion and difficulty thinking. These symptoms reflect the typical pattern of worsening damage to brain tissues. Toxic clusters of proteins first concentrate in the temporal lobes of the brain — the memory area — before spreading to parts of the brain important for thinking and planning.

A study by researchers at Washington University School of Medicine in St. Louis yields clues to why certain parts of the brain are particularly vulnerable to Alzheimer’s damage. It comes down to the gene APOE, the greatest genetic risk factor for Alzheimer’s disease. The parts of the brain where APOE is most active are the areas that sustain the most damage, they found.

The findings, published in Science Translational Medicine, help explain why symptoms of Alzheimer’s disease sometimes vary, and highlights an understudied aspect of Alzheimer’s disease that suggests yet-to-be discovered biological mechanisms may play an important role in the disease.

New nanoscale 3D printing material could offer better structural protection for satellites, drones, and microelectronics

A tiny but strong Stanford logo was made using nanoscale 3D printing.
Image credit: John Kulikowski

Engineers have designed a new material for nanoscale 3D printing that is able to absorb twice as much energy as other similarly dense materials and could be used to create better lightweight protective lattices.

Science fiction envisions rapid 3D printing processes that can quickly create new objects out of any number of materials. But in reality, 3D printing is still limited in the properties and types of materials that are available for use, especially when printing at very small scales.

Researchers at Stanford have developed a new material for printing at the nanoscale – creating structures that are a fraction of the width of a human hair – and used it to print minuscule lattices that are both strong and light. In a paper published in Science, the researchers demonstrated that the new material is able to absorb twice as much energy than other 3D-printed materials of a comparable density. In the future, their invention could be used to create better lightweight protection for fragile pieces of satellites, drones, and microelectronics.

Disease carried by cats, pigs kill 2 spinner dolphins in Hawaiian waters

Photo Credit: Flavio Gasperini

Two spinner dolphins died from toxoplasmosis after becoming infected with the parasite Toxoplasma gondii, according to researchers at the University of Hawaiʻi at Mānoa Health and Stranding Lab. One dolphin was stranded on Hawaiʻi Island in 2015 and the other on Oʻahu in 2019.

Invasive species such as pigs, mongoose, chickens and cats harbor the parasite, but it is unclear which genotypes are most likely to infect wildlife species. The findings were published in Diseases of Aquatic Organisms.

UH researchers screened archived tissues from past dolphin and whale strandings and did not find the parasite in any animals except those that died of it. This demonstrates that if a spinner dolphin has a severe toxoplasmosis infection they will die.

“We suspect that many more spinner dolphins may succumb to toxoplasmosis and die than the animals that are recovered dead and examined for cause of death,” said Kristi West, associate researcher at UH Mānoa’s Hawaiʻi Institute of Marine Biology who directs the UH Health and Stranding Lab. “A better understanding of toxoplasmosis infections and infectious cycles is important to developing effective conservation strategies for protected and endangered Hawaiian wildlife.”

To prevent next pandemic research suggests we need to restore wildlife habit

Researchers found that bats disrupted by a lack of habitat and food move near humans in agricultural and urban areas, where they can spread Hendra virus to horses and then people.
Photo Credit: Vlad Kutepov

Preserving and restoring natural habitats in specific locations could prevent pathogens that originate in wildlife from spilling over into domesticated animals and humans, according to new research led by an international team of researchers, including Penn State.

The research, undertaken in Australia, found that when bats experience a loss of winter habitat and food shortages in their natural settings, their populations splinter and they excrete more virus. Bats disrupted by the lack of food move near humans in agricultural and urban areas. The team studied Hendra virus, a lethal virus that spills over from fruit bats to horses and then infects people.

“One of the biggest challenges we face are threats arising from bat-borne viruses that spillover into humans and have the potential to cause pandemics. Ebola, MERS, SARS, SARS-CoV-2, Nipah and Hendra are all good examples of this,” said Peter Hudson, Willaman Professor of Biology, Penn State. “The response to the pandemic has been to find ways to speed up vaccine development, but since infections invariably spread much faster than vaccine rollout, this reactive response will never stop a pandemic. Instead, the solution lies with preventing viral spillover from bats to humans.”

Neonicotinoid causes ASD-like symptoms in chicks

A simulation of biological motion (left) and leghorn chicks of the same breed as those used in the study (right)
Photo Credit: Toshiya Matsushima

Disturbed transmission via nicotinic acetylcholine receptors in chick fetuses impairs the hatchlings’ preference for animate objects—similar to what is seen in autism spectrum disorder in humans.

Autism spectrum disorder (ASD) refers to a group of disabilities due to atypical brain development. Individuals with ASD have difficulties in social communication and interaction. Diverse causes of ASD are hypothesized, but most of them remain to be understood. A vast research effort has thus been invested to develop appropriate animal models to study the causes.

A team of researchers led by Professor Emeritus Toshiya Matsushima at Hokkaido University found an ASD-like behavioral impairment in chicks, suggesting a molecular pathway of ASD pathogenesis. Their results were published in the online journal Cerebral Cortex Communications.

NIH researchers unlock pattern of gene activity for ADHD

A new study uses postmortem brain tissues to understand genomic differences in individuals with attention deficit hyperactivity disorder.
Image Credit: Gerd Altmann

Researchers at the National Institutes of Health have successfully identified differences in gene activity in the brains of people with attention deficit hyperactivity disorder (ADHD). The study, led by scientists at the National Human Genome Research Institute (NHGRI), part of NIH, found that individuals diagnosed with ADHD had differences in genes that code for known chemicals that brain cells use to communicate. The results of the findings, published in Molecular Psychiatry, show how genomic differences might contribute to symptoms.

To date, this is the first study to use postmortem human brain tissue to investigate ADHD. Other approaches to studying mental health conditions include non-invasively scanning the brain, which allows researchers to examine the structure and activation of brain areas. However, these studies lack information at the level of genes and how they might influence cell function and give rise to symptoms.

The researchers used a genomic technique called RNA sequencing to probe how specific genes are turned on or off, also known as gene expression. They studied two connected brain regions associated with ADHD: the caudate and the frontal cortex. These regions are known to be critical in controlling a person’s attention. Previous research found differences in the structure and activity of these brain regions in individuals with ADHD.

In utero exposure to flame retardants increases anxiety symptoms in adolescents

Dr. Strawn.
Photo Credit: Colleen Kelley/UC Marketing + Brand.

New research led by the University of Cincinnati and Cincinnati Children’s Hospital Medical Center sheds light on the connection between exposure to environmental toxins in utero and the later development of anxiety during adolescence.

Lead author Jeffrey Strawn, MD, and his colleagues recently published the study in the journal Depression & Anxiety.

Strawn said researchers are increasingly interested in learning more about risk factors for anxiety and depression in children, particularly since there has been a surge of these symptoms during the pandemic. Even prior to the pandemic, anxiety disorders were among the most prevalent and earliest presenting mental health conditions for children, he said.

“We know a lot about early risk factors, including psychological risk factors, temperament, behaviors and family relationships,” said Strawn, professor in the Department of Psychiatry and Behavioral Neuroscience in UC’s College of Medicine and a UC Health child and adolescent psychiatrist. “But we know incredibly little about the effects of environmental factors like air pollution and other environmental toxicants on anxiety.”

The study focused on a class of chemicals called polybrominated diphenyl ethers (PBDEs) that were used as flame retardants for products like furniture foam padding, insulation, rugs, upholstery, computers and appliances. Exposure to PBDEs during early brain development has been associated with cognitive deficits, reduced language skills and attention-deficit/hyperactivity disorder, and the chemicals were banned in the United States in 2004.

Prehistoric predator? Artificial intelligence says no

Artificial intelligence has proven vital in identifying a mysterious Aussie dinosaur
Image Credit: Dr Anthony Romilio

Artificial intelligence has revealed that prehistoric footprints thought to be made by a vicious dinosaur predator were in fact from a timid herbivore.

In an international collaboration, University of Queensland paleontologist Dr Anthony Romilio used AI pattern recognition to re-analyze footprints from the Dinosaur Stampede National Monument, south-west of Winton in Central Queensland.

“Large dinosaur footprints were first discovered back in the 1970s at a track site called the Dinosaur Stampede National Monument, and for many years they were believed to be left by a predatory dinosaur, like Australovenator, with legs nearly two meters long,” said Dr Romilio.

“The mysterious tracks were thought to be left during the mid-Cretaceous Period, around 93 million years ago.

“But working out what dino species made the footprints exactly – especially from tens of millions of years ago – can be a pretty difficult and confusing business.

Solving brain dynamics gives rise to flexible machine-learning models

Studying the brains of small species recently helped MIT researchers better model the interaction between neurons and synapses — the building blocks of natural and artificial neural networks — into a class of flexible, robust machine-learning models that learn on the job and can adapt to changing conditions.
Image Credit: Ramin Hasani/Stable Diffusion

Last year, MIT researchers announced that they had built “liquid” neural networks, inspired by the brains of small species: a class of flexible, robust machine learning models that learn on the job and can adapt to changing conditions, for real-world safety-critical tasks, like driving and flying. The flexibility of these “liquid” neural nets meant boosting the bloodline to our connected world, yielding better decision-making for many tasks involving time-series data, such as brain and heart monitoring, weather forecasting, and stock pricing.

But these models become computationally expensive as their number of neurons and synapses increase and require clunky computer programs to solve their underlying, complicated math. And all of this math, similar to many physical phenomena, becomes harder to solve with size, meaning computing lots of small steps to arrive at a solution.

Now, the same team of scientists has discovered a way to alleviate this bottleneck by solving the differential equation behind the interaction of two neurons through synapses to unlock a new type of fast and efficient artificial intelligence algorithms. These modes have the same characteristics of liquid neural nets — flexible, causal, robust, and explainable — but are orders of magnitude faster, and scalable. This type of neural net could therefore be used for any task that involves getting insight into data over time, as they’re compact and adaptable even after training — while many traditional models are fixed.