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Theoretical model uses neuroimaging data to link brain alterations to schizophrenia

Schizophrenia is a chronic mental health disorder characterized by hallucinations, delusions, disorganized thinking and atypical movement or speech patterns. This psychiatric condition can be highly debilitating, and diagnosed individuals can report markedly different experiences.

Understanding the neurobiological basis of could be highly valuable, as it could inform the development of new interventions to reduce the risk of its emergence or treat its symptoms. The results of many neuroimaging studies carried out so far, however, were inconsistent or inconclusive, failing to clearly delineate the processes and brain regions implicated in its clinical expression.

In a recent paper published in Nature Mental Health, researchers at Taipei Medical University analyzed meta-analyses summarizing the most consistent findings of schizophrenia-related neuroimaging studies. Drawing on the results of this analysis, they developed a new theoretical model that delineates characteristic brain alterations linked to the psychiatric disorder.

Long overlooked small proteins in E. coli offer new insights into the bacteria

After the advent of antibiotics in the 1940s, scientists were certain that they were on the cusp of conquering infectious diseases, their confidence bolstered by the notion that a comprehensive knowledge of bacterial pathogens was already well documented.

Bridge recombinases, optimized for human cells, enable massive programmable DNA rearrangements

For decades, gene-editing science has been limited to making small, precise edits to human DNA, akin to correcting typos in the genetic code. Arc Institute researchers are changing that paradigm with a universal gene editing system that allows for cutting and pasting of entire genomic paragraphs, rearranging whole chapters, and even restructuring entire passages of the genomic manuscript.

Chip-scale cold atom experiments could unleash the power of quantum science in the field

Cold atom experiments are among the most powerful and precise ways of investigating and measuring the universe and exploring the quantum world. By trapping atoms and exploiting their quantum properties, scientists can discover new states of matter, sense even the faintest of signals, take ultra-precise measurements of time and gravity, and conduct quantum sensing and computing experiments.

Proven quantum advantage: Researchers cut the time for a learning task from 20 million years to 15 minutes

Amid high expectations for quantum technology, a new paper in Science reports a proven quantum advantage. In an experiment, entangled light has allowed researchers to learn a system’s noise with very few measurements.

Researchers at the Technical University of Denmark (DTU) and international partners have demonstrated that entangled light can cut the number of measurements needed to learn the behavior of a complex, noisy quantum system by an enormous factor.

“This is the first proven quantum advantage for a photonic system,” says corresponding author Ulrik Lund Andersen, a professor at DTU Physics. “Knowing that such an advantage is possible with a straightforward optical setup should help others look for areas where this approach would pay off, such as sensing and machine learning.”

Quantum random number generator combines small size and high speed

Researchers have developed a chip-based quantum random number generator that provides high-speed, high-quality operation on a miniaturized platform. This advance could help move quantum random number generators closer to being built directly into everyday devices, where they could strengthen security without sacrificing speed.

Shining a light on dark valleytronics: First direct observation of dark excitons in atomically thin materials

In a world-first, researchers from the Femtosecond Spectroscopy Unit at the Okinawa Institute of Science and Technology (OIST) have directly observed the evolution of the elusive dark excitons in atomically thin materials, laying the foundation for new breakthroughs in both classical and quantum information technologies.

Their findings have been published in Nature Communications.

Professor Keshav Dani, head of the unit, says, Dark excitons have great potential as information carriers, because they are inherently less likely to interact with light, and hence less prone to degradation of their quantum properties. However, this invisibility also makes them very challenging to study and manipulate.

Preserving particle physics data ensures future discoveries from collider experiments

A lot of the science from our accelerators is published long after collisions end, so storing experimental data for future physicists is crucial.

About a billion pairs of particles collide every second within the Large Hadron Collider (LHC). With them, a petabyte of collision data floods the detectors and pours through highly selective filters, known as trigger systems. Less than 0.001% of the data survives the process and reaches the CERN Data Center, to be copied onto long-term tape.

This archive now represents the largest scientific data set ever assembled. Yet, there may be more science in it than we can extract today, which makes data preservation essential for future physicists.

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