Lifeboat Foundation

When we first meet another person, we typically form an initial impression of them based on their facial features and appearance. These first impressions of others could potentially influence our subsequent cognitive processes, such as what mental states we believe that the people we meet are experiencing at a given time.

Researchers at the University of California San Diego (UCSD), the California Institute of Technology and Dartmouth College carried out a study investigating the potential relationship between first impressions of faces and the inference of mental states. Their findings, published in Nature Human Behavior, suggest that first impressions of faces influence the inference of other people’s mental states.

“Over the years there have been a lot of surprising findings showing how first impressions from faces can predict important outcomes, such as which candidates would win an election, which politicians would be convicted of corruption, and which offenders would be sentenced to death,” Chujun Lin, first author of the paper, told Medical Xpress.

Per-and polyfluorinated alkyl substances (PFAS) earn their “forever chemical” moniker by persisting in water, soil and even the human brain. This unique ability to cross the blood-brain barrier and accumulate in brain tissue makes PFAS particularly concerning, but the underlying mechanism of their neurotoxicity must be studied further.

To that end, a new study by University at Buffalo researchers has identified 11 genes that may hold the key to understanding the brain’s response to these pervasive chemicals commonly found in everyday items. The paper is published in the journal ACS Chemical Neuroscience.

These genes, some involved in processes vital for neuronal health, were found to be consistently affected by PFAS exposure, either expressing more or less, regardless of the type of PFAS compounds tested. For example, all compounds caused a gene key for neuronal cell survival to express less, and another gene linked to neuronal cell death to express more.

Common methods of communicating flood risk may create a false sense of security, leading to increased development in areas threatened by flooding.

This phenomenon, called the “safe development paradox,” is described in a new paper from North Carolina State University. Lead author Georgina Sanchez, a research scholar in NC State’s Center for Geospatial Analytics, said this may be an unintended byproduct of how the Federal Emergency Management Agency classifies areas based on their probability of dangerous flooding.

The findings are published in the journal PLOS ONE.

Recent research led by UTHealth Houston scientists has uncovered two genes associated with variants linked to epilepsy, which showed specific traits that make them promising diagnostic biomarkers.

The study is published in Nature Communications.

Led by Dennis Lal, Ph.D., director of the Center for Neurogenetics and associate professor of neurology at McGovern Medical School at UTHealth Houston, the research team analyzed data from 1,386 human brain tissues for somatic variants in the genes of individuals undergoing epilepsy surgery. Somatic variants are DNA changes that occur after conception and can only be identified in the brain tissue.

A team of physicists at Université Grenoble Alpes, CNRS, in France, working with a colleague from Karlsruhe Institute of Technology, in Germany, has observed an odd quantum phase transition in indium oxide films. In their study published in the journal Nature Physics, the group used microwave spectroscopy to study the internal properties and behavior of indium oxide films as they transitioned between superconducting and insulating states.

Prior research has shown that when a superconductor undergoes a phase transition between superconductivity and insulation, its superfluid stiffness generally occurs in a smooth, continuous fashion. Superfluid stiffness is a measurement that has been developed to gauge how resistant a material is to changing from one phase to another. In this new study, the research team found an exception to that rule in indium oxide films.

In their work, the researchers were investigating the properties of indium oxide, a material that, when chilled to a certain temperature, changes to a superconductor—it is also known to have multiple disorders at multiple levels. Such disorders give the material unusual properties.

Nuclear fission is the most reliable source of antineutrinos, but they are difficult to characterize. A recent study suggests how their emission can be simulated most effectively.

Antineutrinos are mysterious fundamental anti-particles with no charge and an exceptionally small but non-zero mass. The JUNO project (Jiangmen Underground Neutrino Observatory) in China is a large scintillation detector designed to detect them and to characterize their properties, particularly in precise measurements of that tiny mass. Anti-particles are hard to measure and even harder to control, even when they come from a strong and reliable source.

A group of Italian physicists, led by Monica Sisti of the Istituto Nazionale di Fisica Nucleare (INFN) in Milan and Antonio Cammi of the Politecnico di Milano and part of the JUNO collaboration of over 700 scientists from 17 countries, has now modeled parameters that determine the ‘antineutrino spectrum’ emitted by a source.

Phase transitions in the collective motions of self-propelled particles are directly impacted both by the initial velocity of each particle, and the repulsive radius surrounding them.

Collective motions of self-propelled particles can be found across many systems in nature. One of the most striking features of this phenomenon is the way in which systems transition between different states of motion: a behavior which can be compared directly with phase transitions in physics. So far, however, it is still not fully understood how these transitions are impacted by the initial parameters of these deeply complex systems.

Through analysis published in The European Physical Journal E, Salma Moushi and colleagues at the University of Hassam II, Morocco, show how the conditions required for transitions to occur are heavily dependent on the initial velocities of each particle, and the repulsion radius surrounding them.

An electronic stacking technique has the potential to exponentially boost the number of transistors on chips, paving the way for more efficient AI hardware.

The electronics industry is approaching a limit to the number of transistors that can be packed onto the surface of a computer chip. So, chip manufacturers are looking to build up rather than out.

Instead of squeezing ever-smaller transistors onto a single surface, the industry is aiming to stack multiple surfaces of transistors and semiconducting elements — akin to turning a ranch house into a high-rise. Such multilayered chips could handle exponentially more data and carry out many more complex functions than today’s electronics.

A new study uncovers a molecular modification method for converting CO₂ into valuable chemical resources using a platinum surface.

Copper-based (Cu) materials are widely recognized for their efficiency in converting CO₂ into valuable hydrocarbons via the CO₂ reduction reaction (CO₂RR). However, their stability, particularly in acidic environments, needs significant improvement. In contrast, metallic platinum (Pt) demonstrates excellent stability under both acidic and alkaline conditions. However, its high activity in the hydrogen evolution reaction (HER) hinders its effectiveness in CO₂RR applications.

To address these challenges, composite materials incorporating metal-doped molecules offer a promising solution. These modified molecules can be securely retained at the interface, forming a unique structure that enhances the metal interface properties. This configuration not only increases the contact between reactants and active sites but also optimizes the adsorption strength of critical intermediates, ultimately improving catalytic performance.