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Subtle molecular changes in brain cells may be linked to autism and schizophrenia

A team of researchers at NYU Abu Dhabi has uncovered a key mechanism that helps shape how our brains are wired, and what can happen when that process is disrupted.

In a new study published in Cell Reports, the RNA-MIND Lab at NYU Abu Dhabi, led by Professor of Biology Dan Ohtan Wang, with Research Associate Belal Shohayeb, reveals how a small molecular mark on messenger RNA, called m6A methylation, regulates the production of essential proteins inside growing neurons. This process plays a critical role in the development of axons, the long extensions that neurons use to connect and communicate with each other.

The study shows that this molecular mark controls the production of a protein called (APC), which helps organize the internal structure of nerve cells and is needed to locally produce β-actin, a key building block of the cytoskeleton to support axon growth. Importantly, the team also found that linked to autism and schizophrenia can interfere with this process, potentially affecting how the brain develops.

New superheavy isotope reveals complex relationship between quantum effects and fission

In a study published in Physical Review Letters, scientists at GSI Helmholtzzentrum für Schwerionenforschung have discovered a new superheavy isotope, 257 Sg (seaborgium), whose properties are providing new insights into nuclear stability and fission in the heaviest elements.

Superheavy elements exist in a delicate balance between the attractive nuclear force that holds protons and neutrons together and the repulsive electromagnetic force that pushes positively charged protons apart.

Without quantum shell effects, analogous to electron shells in atoms, these massive nuclei would split apart in less than a trillionth of a second.

Analysis provides day-by-day insight into prehistoric plankton’s capacity for change

Scientists at the University of Southampton have developed a new way of analyzing fossils, allowing them to see how creatures from millions of years ago were shaped by their environment on a day-to-day basis for the first time.

The research, published in Proceedings of the National Academy of Sciences, could improve our understanding of how character traits driven by shaped evolutionary history and life on Earth.

It could help scientists to understand how much of a species’ evolutionary journey is down to “nature vs. nurture.”

Engineering nano-clouds that can change color, temperature and outwit heat sensors

How does a cloud stay cool under direct sunlight––or seem to vanish in infrared? In nature, phenomena like white cumulus clouds, gray storm systems, and even the hollow hairs of polar bears offer remarkable lessons in balancing temperature, color and invisibility. Inspired by these atmospheric marvels, researchers have now created a nanoscale “cloud” metasurface capable of dynamically switching between white and gray states—cooling or heating on demand––all while evading thermal detection.

Astronomers detect five young stars in the Chamaeleon cloud complex

Using the Australia Telescope Compact Array (ATCA), astronomers have performed large-scale radio observations of a star-forming region known as the Chamaeleon cloud complex. The observational campaign, which detected five young stars in Chamaeleon, may shed more light on the properties of this complex. The findings were detailed in a paper published June 19 on the arXiv pre-print server.

Neuroscientists remain steadfastly uncertain about how the brain encodes memory

Researchers from Monash University, in collaboration with the European Biostasis Foundation and Apex Neuroscience, have revealed that although most neuroscientists agree that long-term memories depend primarily on neuronal connectivity patterns, significant uncertainties persist regarding precisely how these memories are structurally encoded.

Brains can retain memories for days, months and even across a lifetime of decades, through mechanisms that remain elusive to those at the cutting edge of neuroscience. Long-term memory enables animals to shape behaviors by linking past experiences with present contexts.

There are fragile memories, like recalling the name of someone you just met, or the location of where the keys were set down, that can seemingly escape the brain’s data capture. And there are durable memories that can survive periods of global neuronal inactivity and disruption, indicating that ongoing neural activity is not required to maintain stored information.

Aging-related inflammation is not universal across human populations, new study finds

Inflammation, long considered a hallmark of aging, may not be a universal human experience, according to a new study from Columbia University Mailman School of Public Health. The research suggests that “inflammaging”—chronic, low-grade inflammation associated with aging—appears to be a byproduct of industrialized lifestyles and varies significantly across global populations.

The findings are published in Nature Aging.

Researchers analyzed data from four populations: two industrialized groups—the Italian InCHIANTI study and the Singapore Longitudinal Aging Study (SLAS)—and two Indigenous, non-industrialized populations—the Tsimane of the Bolivian Amazon and the Orang Asli of Peninsular Malaysia. While the inflammaging signature was similar between the two industrialized populations, it did not hold in the Indigenous groups, where levels were largely driven by rather than age.

Entropy engineering opens new avenue for robust quantum anomalous Hall effect in 2D magnets

A research team from the University of Wollongong’s (UOW) Institute for Superconducting and Electronic Materials (ISEM) has addressed a 40-year-old quantum puzzle, unlocking a new pathway to creating next-generation electronic devices that operate without losing energy or wasting electricity.

Published in Advanced Materials, the study is the work of UOW researchers led by Distinguished Professor Xiaolin Wang and Dr. M Nadeem, with Ph.D. candidate Syeda Amina Shabbir and Dr. Frank Fei Yun.

It introduces a new design concept to realize the elusive and highly sought-after quantum anomalous Hall (QAH) effect.

Mathematical approach makes uncertainty in AI quantifiable

How reliable is artificial intelligence, really? An interdisciplinary research team at TU Wien has developed a method that allows for the exact calculation of how reliably a neural network operates within a defined input domain. In other words: It is now possible to mathematically guarantee that certain types of errors will not occur—a crucial step forward for the safe use of AI in sensitive applications.

From smartphones to self-driving cars, AI systems have become an everyday part of our lives. But in applications where safety is critical, one central question arises: Can we guarantee that an AI system won’t make serious mistakes—even when its input varies slightly?

A team from TU Wien—Dr. Andrey Kofnov, Dr. Daniel Kapla, Prof. Efstathia Bura and Prof. Ezio Bartocci—bringing together experts from mathematics, statistics and computer science, has now found a way to analyze neural networks, the brains of AI systems, in such a way that the possible range of outputs can be exactly determined for a given input range—and specific errors can be ruled out with certainty.