Lifeboat Foundation: Safeguarding Humanity
Toggle light / dark theme

Blog – Page 7

Get the latest international news and world events from around the world.

Log in for authorized contributors

Durable ionogel withstands 5,000 times its weight while staying soft on skin

The development of soft materials that can reliably function on the human body is important for the future of bioelectronics and wearable medical devices. These materials need to comfortably conform to the skin while being durable enough for everyday use. However, many existing soft materials are easily damaged, limiting their practical applications.

A research team led by Professor Lizhi Xu from the Department of Mechanical Engineering under the Faculty of Engineering at the University of Hong Kong (HKU) has created a new type of ionogel that overcomes this challenge. The material is soft and flexible, yet strong enough to withstand significant mechanical stress, making it ideal for wearable and biomedical applications.

The research is published in the journal Science Advances, in an article titled “High-strength and fracture-resistant ionogels via solvent-tailored interphase cohesion in nanofibrous composite networks.”

Chemistry-aware AI can generate millions of plausible new molecules

Finding and developing new molecules is one of the great research endeavors of modern chemistry. From the development of new drugs to the creation of more sustainable materials, everything depends on finding new combinations of atoms with useful properties. Now, a research team from the Universitat Rovira i Virgili (URV) has developed an artificial intelligence tool capable of generating millions of new molecules which, although still unknown to science, comply with the laws of chemistry and could therefore be realistic possibilities. The research results have been published in the journal Nature Machine Intelligence.

The system, called CoCoGraph, works in a similar way to generative artificial intelligence tools for text or images, such as ChatGPT or Dall-E. “These models create new content that looks very much like the real thing. Our algorithm does the same, but with molecules,” explains Roger Guimerà, an ICREA Research Professor in the Department of Chemical Engineering at the URV.

Unlike other AI tools, however, the model does not yet respond to specific instructions. For the moment it simply carries out the more basic task of generating plausible molecules, that is, structures that comply with the rules of chemistry.

Small talk shapes big trends: Physics predicts how language patterns spread

A new model to predict how language changes over time has been developed by a statistical physicist at the University of Portsmouth. The model is a step towards understanding the “statistical physics of language,” a scientific theory which borrows ideas from the physics of interacting particles to explain how words, accents, and dialects spread, shift, and disappear across regions and generations, and how they might change in future. The research is published in the journal Physical Review E.

James Burridge, Professor of Probability and Statistical Physics, from the University’s School of Mathematics and Physics, said, Just as meteorologists use mathematical models to forecast tomorrow’s weather, the same kind of thinking can be applied to language.

Where you are affects how you speak and if you map how people use certain words, you see clear geographic patterns—just like a weather map. However, the physics of language is closer to crystals and magnets than the atmosphere.

Elastic rules may explain why nematic crystals look ordered and disordered at once

Electronic nematicity is a phase of some crystalline solids in which electrons’ collective properties, such as charge or spin densities, organize themselves into ordered patterns, lowering the crystal’s rotational symmetry. This phase is found across a wide range of diverse materials, making nematicity crucial to understanding emergent solid-state phenomena, such as unconventional superconductivity and magnetism.

Lately, experimentalists have encountered a hurdle to understanding nematicity: despite exhibiting nematic order at macroscopic scales, at the microscopic level, many nematic materials seem to exhibit disorder instead.

To address this seeming paradox, theorists at the University of Illinois Urbana-Champaign have invented a new way of looking at the interactions between nematicity and elasticity, incorporating aspects of elasticity theory, whose impacts on nematicity have previously been overlooked.

Magnetic fields can ‘revive’ superconductivity in nickelates, research reveals

A research team led by Professor Denver Li Danfeng, Associate Dean (Research and Postgraduate Education) of the College of Science and Associate Professor in the Department of Physics at City University of Hong Kong (CityUHK), has achieved a significant advance in superconducting materials.

The team has discovered a magnetic-field-induced “re-entrant superconductivity” phenomenon in infinite-layer nickelate superconductors, in which superconductivity—initially suppressed by a magnetic field—reappears at higher field strengths. This finding challenges the conventional understanding that magnetic fields suppress superconductivity and opens up new directions for exploring unconventional superconducting mechanisms and next-generation superconducting materials.

The findings are published in Nature, titled “Field re-entrant superconductivity in Eu-doped infinite-layer nickelates.”

Why isolated human groups speak more diverse languages even as genetic diversity shrinks

Languages and human DNA both capture aspects of human diversity. But how are they related? A new international study led by the University of Zurich finds a clear but counterintuitive pattern: regions with high genetic diversity tend to have more similar languages, while isolated populations with low genetic diversity show greater linguistic diversity. The research is published in the journal Proceedings of the National Academy of Sciences.

At first glance, the findings seem surprising. One might expect regions with greater genetic diversity, often shaped by migration and population mixing, to also show greater diversity in language. But the study reveals the opposite.

“We were struck by how robust this inverse relationship is across the globe,” says Anna Graff, lead author of the study and linguist at the University of Zurich. “Places where people have mixed more tend to be genetically diverse, but their languages are structurally more similar. In contrast, places with long-term isolation show less genetic diversity, yet much greater diversity in how languages are structured. Crucially, this relationship holds after adjusting for a wide range of confounding factors, including deep population history such as the timing of continental settlement.”

Deepfake videos degrade political reputations even when viewers realize they are fake

Artificial intelligence can be used to generate deceptive videos that damage a politician’s reputation, even when viewers suspect the footage is fake. A new study published in Communication Research found that these manipulated clips decrease support for targeted candidates. Standard fact-checking efforts reportedly fail to undo the total reputational harm.

Disinformation created using artificial intelligence is often regarded as a major threat to global elections. Technology now allows malicious actors to seamlessly replace a person’s face or clone their voice. These creations are commonly called deepfakes. Political operatives can use these tools to make opposing candidates appear to say outrageous or offensive things.

Michael Hameleers, a communication researcher at the University of Amsterdam, led a team to investigate how these videos influence the public. Hameleers and his colleagues Toni G. L. A. van der Meer, Marina Tulin, and Tom Dobber wanted to track voter reactions over time. They aimed to discover if these manipulated videos actually influence minds during an election cycle.

/* */