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Loneliness and anxiety fuel smartphone and social media addiction in ‘night owls,’ new study finds

Young adult “night owls” (or “evening types”—those who prefer to stay up late) are significantly more at risk of developing problematic relationships with smartphones and social media, according to a new study.

Problematic smartphone use is characterized by anxiety when separated from one’s phone, neglecting responsibilities in favor of phone use, and compulsively checking notifications. Social media addiction is similarly marked by excessive, uncontrolled usage that interferes with daily life.

Nearly 40% of U.K. students are now believed to exhibit signs of social media addiction, with at particularly high risk. Past research has linked eveningness to a range of adverse outcomes, including poor sleep quality, depression, and addictive behaviors. But until now, no study has investigated the mechanisms underlying the link between being an evening person and problematic technology use.

Largest genetic study to date identifies 13 new DNA regions linked to dyslexia

Dyslexia is a neurodevelopmental condition estimated to affect between 5–10% of people living in most countries, irrespective of their educational and cultural background. Dyslexic individuals experience persistent difficulties with reading and writing, often struggling to identify words and spell them correctly.

Past studies with twins suggest that is in great part heritable, meaning that its emergence is partly influenced by inherited from parents and grandparents. However, the exact genetic variants (i.e., small differences in DNA sequences) linked to dyslexia have not yet been clearly delineated.

Researchers at University of Edinburgh, the Max Planck Institute for Psycholinguistics and various other institutes recently carried out the largest genome-wide association study to date exploring the genetic underpinnings of dyslexia. Their paper, published in Translational Psychiatry, identifies several previously unknown genetic loci that were found to be linked to an increased likelihood of experiencing dyslexia.

Dormant no more: Brain protein’s hidden role may reshape psychiatric and neurological treatments

In a new research report, scientists at Johns Hopkins Medicine say they have identified a potential target for drugs that could dial up or down the activity of certain brain proteins in efforts to treat psychiatric disorders, such as anxiety and schizophrenia, and a neurological condition that affects movement.

The proteins, called delta-type ionotropic glutamate receptors, or GluDs, have long been understood to play a major role in signaling between neurons. Mutations in GluD proteins are thought to drive psychiatric conditions, including anxiety and schizophrenia, the scientists say. Yet, scientists had few clues as to how GluDs function, hampering the ability to find treatments to regulate them.

“This class of protein has long been thought to be sitting dormant in the brain,” says Edward Twomey, Ph.D., assistant professor of biophysics and at the Johns Hopkins University School of Medicine. “Our findings indicate they are very much active and offer a potential channel to develop new therapies.”

New approach improves accuracy of quantum chemistry simulations using machine learning

A new trick for modeling molecules with quantum accuracy takes a step toward revealing the equation at the center of a popular simulation approach, which is used in fundamental chemistry and materials science studies.

The effort to understand materials and eats up roughly a third of national lab supercomputer time in the U.S. The gold standard for accuracy is the quantum many-body problem, which can tell you what’s happening at the level of individual electrons. This is the key to chemical and material behaviors as electrons are responsible for chemical reactivity and bonds, electrical properties and more. However, quantum many-body calculations are so difficult that scientists can only use them to calculate atoms and molecules with a handful of electrons at a time.

Density functional theory, or DFT, is easier—the computing resources needed for its calculations scale with the number of electrons cubed, rather than rising exponentially with each new electron. Instead of following each individual electron, this theory calculates electron densities—where the electrons are most likely to be located in space. In this way, it can be used to simulate the behavior of many hundreds of atoms.

Plasmon effects in neutron star magnetospheres could pose new limits on the detection of axions

Dark matter is an elusive type of matter that does not emit, reflect or absorb light, yet is predicted to account for most of the universe’s mass. As it cannot be detected and studied using conventional experimental techniques, the nature and composition of dark matter have not yet been uncovered.

One of the most promising candidates (i.e., hypothetical particles that dark matter could be made of) are axions. Theory suggests that axions could convert into light particles (i.e., photons) under specific conditions, which could in turn generate signals that can be picked up by sophisticated equipment.

In , such as those surrounding neutron stars with large magnetic fields (i.e., magnetars), the conversion of axions into photons has been predicted to generate weak radio signals that could be detected using powerful Earth-based or space-based radio telescopes.

New method for making graphene turns defects into improvements

Recent research has found a new way to make graphene that adds structural defects to improve the performance of the material that could have benefits across a range of applications—from sensors and batteries, to electronics.

Scientists from the University of Nottingham’s School of Chemistry, University of Warwick and Diamond Light Source developed a single-step process to grow -like films using a molecule, Azupyrene, whose shape mimics that of the desired defect. The research has been published today in Chemical Science.

David Duncan, Associate Professor at the University of Nottingham and one of the study’s lead authors, explains, “Our study explores a new way to make graphene, this super-thin, super-strong material is made of carbon atoms, and while perfect graphene is remarkable, it is sometimes too perfect. It interacts weakly with other materials and lacks crucial electronic properties required in the semiconductor industry.”

18-member Nanoring Pushes The Boundaries of Global Aromaticity

Pushing the limits of size constraints in chemistry, an 8-nanometer 18-porphyrin nanoring (c-P18) becomes the largest known cyclic molecule to exhibit detectable global aromaticity. This phenomenon, where π-electrons are delocalized not just over individual aromatic units but around the entire macrocyclic ring, is mostly seen in smaller aromatic molecules but rarely found in macrocyclic entities.

Researchers from the University of Oxford and the University of Nottingham confirm that the c-P18 nanoring carries a circuit of 242 π-electrons, setting the current upper size limit for global aromaticity in butadiyne-linked systems. Using highly sensitive Fluorine-19 NMR spectroscopy, they tracked ring currents while charging the nanoring via oxidation.

The experiments uncovered faint magnetic shoulder signals—the telltale signature of electrons flowing globally between aromatic and antiaromatic states. This pushes beyond the benchmark set by the 12-member porphyrin nanoring, which had previously been the largest in this class, to show clear global aromaticity.

A scalable and accurate tool to characterize entanglement in quantum processors

Quantum computers, computing systems that process information leveraging quantum mechanical effects, could soon outperform classical computers in various optimization and computational tasks.

To enable their reliable operation in real-world settings, however, engineers and physicists should be able to precisely control and understand the quantum states underpinning the functioning of .

The research team led by Dapeng Yu at Shenzhen International Quantum Academy, Tongji University and other institutes in China recently introduced a new mathematical tool that could be used to characterize quantum states in quantum processors with greater accuracy.

World’s smallest marine dolphins can perform underwater barrel rolls

Scientists observing from boats knew little of the underwater behavior of the world’s smallest marine dolphin, the Hector’s dolphin.

Now, a paper has revealed a hidden world—including an array of acrobatics. The research is published in the journal Conservation Letters.

Barrel rolls, dives up to 120m deep, and upside-down feeding near the sea floor were behaviors discovered through tracking devices.

Compact phononic circuits guide sound at gigahertz frequencies for chip-scale devices

Phononic circuits are emerging devices that can manipulate sound waves (i.e., phonons) in ways that resemble how electronic circuits control the flow of electrons. Instead of relying on wires, transistors and other common electronic components, these circuits are based on waveguides, topological edge structures and other components that can guide phonons.

Phononic circuits are opening new possibilities for the development of high-speed communication systems, and various other technologies.

To be compatible with existing infrastructure, including current microwave communication systems, and to be used to develop highly performing quantum technologies, these circuits should ideally operate at gigahertz (GHz) frequencies. This essentially means that the sound waves they generate and manipulate oscillate billions of times per second.

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