Lab Earthquakes Show How Grains at Fault Boundaries Lead to Major Quakes

A three-dimensional visualization shows how rock gouge can arrest a rupture (in red) but, with a combination of dynamic stressing and dynamic weakening, will ultimately re-nucleate the rupture shortly thereafter (in blue).
Credit: Vito Rubino / California Institute of Technology

By simulating earthquakes in a lab, Caltech engineers have provided strong experimental support for a form of earthquake propagation now thought responsible for the magnitude-9.0 earthquake that devastated the coast of Japan in 2011.

Along some fault lines, which are the boundaries of tectonic plates, a fine-grained gravel is formed as the plates grind against one another. The influence of this gravel on earthquakes has long been the subject of scientific speculation. In a new paper appearing in the journal Nature the Caltech researchers show that the fine gravel, known as rock gouge, first halts earthquake propagation, but then triggers the rebirth of earthquakes to generate powerful ruptures.

"Our novel experimental approach has enabled us to look into the earthquake process up close, and to uncover key features of rupture propagation and friction evolution in rock gouge," says Vito Rubino, research scientist and lead author of the Nature paper. "One of the main findings of our study is that fault sections previously thought to act as barriers against dynamic rupture may in fact host earthquakes, as a result of the activation of co-seismic friction weakening mechanisms."

Hallucinating to better text translation

Source/Credit: MIT

As babies, we babble and imitate our way to learning languages. We don’t start off reading raw text, which requires fundamental knowledge and understanding about the world, as well as the advanced ability to interpret and infer descriptions and relationships. Rather, humans begin our language journey slowly, by pointing and interacting with our environment, basing our words and perceiving their meaning through the context of the physical and social world. Eventually, we can craft full sentences to communicate complex ideas.

Similarly, when humans begin learning and translating into another language, the incorporation of other sensory information, like multimedia, paired with the new and unfamiliar words, like flashcards with images, improves language acquisition and retention. Then, with enough practice, humans can accurately translate new, unseen sentences in context without the accompanying media; however, imagining a picture based on the original text helps.

This is the basis of a new machine learning model, called VALHALLA, by researchers from MIT, IBM, and the University of California at San Diego, in which a trained neural network sees a source sentence in one language, hallucinates an image of what it looks like, and then uses both to translate into a target language. The team found that their method demonstrates improved accuracy of machine translation over text-only translation. Further, it provided an additional boost for cases with long sentences, under-resourced languages, and instances where part of the source sentence is inaccessible to the machine translator.

Bumps could smooth quantum investigations

Stamping or growing 2D materials onto a patterned surface could create models for 1D systems suitable for the exploration of quantum effects, according to a new theory by Rice University engineers. The “bumps” would manipulate the flow of electrons into bands that mimic 1D semiconductors.
Credit: Yakobson Research Group/Rice University

Atoms do weird things when forced out of their comfort zones. Rice University engineers have thought up a new way to give them a nudge.

Materials theorist Boris Yakobson and his team at Rice’s George R. Brown School of Engineering have a theory that changing the contour of a layer of 2D material, thus changing the relationships between its atoms, might be simpler to do than previously thought.

While others twist 2D bilayers -- two layers stacked together -- of graphene and the like to change their topology, the Rice researchers suggest through computational models that growing or stamping single-layer 2D materials on a carefully designed undulating surface would achieve “an unprecedented level of control” over their magnetic and electronic properties.

They say the discovery opens a path to explore many-body effects, the interactions between multiple microscopic particles, including quantum systems.

The paper by Yakobson and two alumni, co-lead author Sunny Gupta and Henry Yu, of his lab appears in Nature Communications.

Breakthrough paves way for photonic sensing at the ultimate quantum limit

Photonic chip with a microring resonator nanofabricated in a commercial foundry.
Photo credit: Joel Tasker, QET Labs

A Bristol-led team of physicists has found a way to operate mass manufacturable photonic sensors at the quantum limit. This breakthrough paves the way for practical applications such as monitoring greenhouse gases and cancer detection.

Sensors are a constant feature of our everyday lives. Although they often go unperceived, sensors provide critical information essential to modern healthcare, security, and environmental monitoring. Modern cars alone contain over 100 sensors and this number will only increase.

Quantum sensing is poised to revolutionize today's sensors, significantly boosting the performance they can achieve. More precise, faster, and reliable measurements of physical quantities can have a transformative effect on every area of science and technology, including our daily lives.

However, the majority of quantum sensing schemes rely on special entangled or squeezed states of light or matter that are hard to generate and detect. This is a major obstacle to harnessing the full power of quantum-limited sensors and deploying them in real-world scenarios.

New nanoparticles aid sepsis treatment in mice

Shaoqin “Sarah” Gong
Source: University of Wisconsin–Madison

Sepsis, the body’s overreaction to an infection, affects more than 1.5 million people and kills at least 270,000 every year in the U.S. alone. The standard treatment of antibiotics and fluids is not effective for many patients, and those who survive face a higher risk of death.

In new research published in the journal Nature Nanotechnology today, the lab of Shaoqin “Sarah” Gong, a professor with the Wisconsin Institute for Discovery at the University of Wisconsin–Madison, reported a new nanoparticle-based treatment that delivers anti-inflammatory molecules and antibiotics.

The new system saved the lives of mice with an induced version of sepsis meant to serve as a model for human infections, and is a promising proof-of-concept for a potential new therapy, pending additional research.

The new nanoparticles delivered the chemical NAD+ or its reduced form NAD(H), a molecule that has an essential role in the biological processes that generate energy, preserve genetic material and help cells adapt to and overcome stress. While NAD(H) is well known for its anti-inflammatory function, clinical application has been hindered because NAD(H) cannot be taken up by cells directly.

“To enable clinical translation, we need to find a way to efficiently deliver NAD(H) to the targeted organs or cells. To achieve this goal, we designed a couple of nanoparticles that can directly transport and release NAD(H) into the cell, while preventing premature drug release and degradation in the bloodstream,” says Gong, who also holds appointments in the Department of Biomedical Engineering and the UW School of Medicine and Public Health’s Department of Ophthalmology and Visual Sciences.

The interdisciplinary work was led by Gong along with Mingzhou Ye and Yi Zhao, two postdoctoral fellows in the Gong lab. John-Demian Sauer, a professor in the Department of Medical Microbiology and Immunology, also collaborated on the project.

An edible QR code takes a shot at fake whiskey

The days of fake whiskey could be numbered, thanks to a team of biomedical engineers from Purdue University and South Korea. The team, led by Young Kim, associate head for research and an associate professor in Purdue’s Weldon School of Biomedical Engineering, has developed an QR code on an edible silk tag that manufacturers can place in bottles of whiskey. Consumers can use a smartphone app to confirm the whiskey’s authenticity. 
Credit: Purdue University photo/John Underwood

In the future, when you order a shot of whiskey, you might ask the bartender to hold an edible fluorescent silk tag that could be found floating inside – even though it is safe to consume.

This little silk tag with a QR code is a security measure that could reveal if the whiskey you’re wanting to buy is fake. Simply using a smartphone to scan the tag, which was developed by biomedical engineers from Purdue University and the National Institute of Agricultural Sciences in South Korea, could confirm the drink’s authenticity.

There are, of course, no tags currently placed in bottles of whiskey. But this new anticounterfeiting technology, published in the journal ACS Central Science, could be a step toward not only finding a solution for the alcohol industry but also addressing fake medications.

“Some liquid medicines contain alcohol. We wanted to test this first in whiskey because of whiskey’s higher alcohol content,” said Young Kim, associate head for research and an associate professor in Purdue’s Weldon School of Biomedical Engineering. “Researchers apply alcohol to silk proteins to make them more durable. Because they tolerate alcohol, the shape of the tag can be maintained for a long time.”

Analysis of huntsman spiders reveals patterns of social behavior

 The Australian huntsman (Delena gloriosa) and her plastered egg sac.
Credit: Linda S. Rayor

A new study of huntsman spiders links evolutionary lineages with life history traits, providing patterns for predicting social behaviors in other less-studied species. Sociality is very rare in spiders – only five out of close to 1,300 huntsman species are known to exhibit social behaviors.

The study, “Huntsman Spider Phylogeny Informs Evolution of Life History, Egg Sacs and Morphology,” published in the journal Molecular Phylogenetics and Evolution, was part of the undergraduate thesis of lead author Jacob Gorneau ’20.

It represents the broadest and most in-depth phylogeny of huntsman spiders – a tree-like diagram showing evolutionary relatedness among groups of organisms – while incorporating extensive biology and life history data for each species. Compared with solitary species, the findings reveal, the social species live in larger permanent family group retreats until the offspring are up to a year old, have egg sacs plastered to surfaces so they can’t be moved and begin foraging later in their development.

“The social species are doing something different than all the other solitary species,” said Linda Rayor, the paper’s senior author and a senior research associate in the Department of Entomology in the College of Agriculture and Life Sciences (CALS).

Scientists use robots to reveal how predatory fish cope with unpredictable prey

Scientists at the University of Bristol have demonstrated how predators overcome their preys’ erratic behavior by adapting their own during the hunt.

The study, published today in scientific journal PNAS, challenges the well-held theory that behaving unpredictably helps animals survive encounters with predators.

Instead of simply fleeing directly away from a predator, many prey species from across the animal kingdom choose to escape in a surprisingly wide range of directions. Scientists have long suspected that this unpredictability helps them evade capture by keeping predators guessing about the prey’s next move.

By studying how real predatory fish (blue acara cichlids) attack robotic prey, researchers from Bristol’s School of Biological Sciences were able to experimentally test this idea. Rather than confirming that unpredictable escape tactics are beneficial to prey, the new research suggests that predators can neutralize this strategy by flexibly adjusting their own behavior.

Paleontologists Discovered Teeth and Bones of Ancient Animals in the Urals

Credit: Ural Federal University

Paleontologists from the Institute of Plant and Animal Ecology of the Ural Branch of the Russian Academy of Sciences and Ural Federal University Dmitry Gimranov and Anton Kisagulov together with volunteers discovered teeth and bones of ancient Eocene animals in the Sverdlovsk Region (the Sugat River near the village of Talitsa). Most of the finds are 40 million years old. There are also later finds dating back to the Middle or Late Pleistocene (0.75-0.02 million years). The oldest finds were numerous and consisted mainly of shark and ray teeth and fish bones. The "mammoth time" finds were few and include bones of frogs, birds and mammals. Late finds will have to be dated by radiocarbon analysis.

Shark and ray teeth will be transferred for study to Tatyana Malyshkina, a Senior Researcher at the Laboratory of Stratigraphy and Paleontology at the Zavaritsky Institute of Geology and Geochemistry of the Ural Branch of the Russian Academy of Sciences. The finds will enrich her collection with new specimens and possibly serve as a basis for the description of new species. The mammal finds will be studied by Dmitry Gimranov, a Senior Researcher at the Paleoecology Laboratory of the Institute of Plant and Animal Ecology of the Ural Branch of the Russian Academy of Sciences and the Laboratory of Natural Science Methods in Humanities of the UrFU.

Novel Method for Early Disease Detection Using DNA Droplets

Droplet systems such as DNA droplets, which are formed by liquid-liquid phase separation of macromolecules, play an essential role in cellular functions. Now, by combining the technologies of DNA droplets and DNA computing, computational DNA droplets have been developed by scientists at Tokyo Tech, which can recognize specific patterns in tumor biomarker microRNA sequences.

Aqueous droplet formation by liquid-liquid phase separation (or coacervation) in macromolecules is a hot topic in life sciences research. Of these various macromolecules that form droplets, DNA is quite interesting because it is predictable and programmable, which are qualities useful in nanotechnology. Recently, the programmability of DNA was used to construct and regulate DNA droplets formed by coacervation of sequence designed DNAs.

A group of scientists at Tokyo University of Technology (Tokyo Tech) led by Prof. Masahiro Takinoue has developed a computational DNA droplet with the ability to recognize specific combinations of chemically synthesized microRNAs (miRNAs) that act as biomarkers of tumors. Using these miRNAs as molecular input, the droplets can give a DNA logic computing output through physical DNA droplet phase separation. Prof. Takinoue explains the need for such studies, "The applications of DNA droplets have been reported in cell-inspired microcompartments. Even though biological systems regulate their functions by combining biosensing with molecular logical computation, no literature is available on integration of DNA droplet with molecular computing." Their findings were published in Advanced Functional Materials.

Developing this DNA droplet required a series of experiments. First, they designed three types of Y-shaped DNA nanostructures called Y-motifs A, B, and C with 3 sticky ends to make A, B, and C DNA droplets. Typically, similar droplets band together automatically while to join dissimilar droplets a special "linker" molecule is required. So, they used linker molecules to join the A droplet with B and C droplet; these linker molecules were called AB and AC linkers, respectively.