River Belt Discovery Helps Scientists Understand Ancient Rivers

A relative elevation map of the Susitna River in Alaska,
one of the 30 rivers that were mapped as part of the study.
Credit: Tian Dong.

Long after a river has dried up, its channel belt lives on.

Made up of swaths of sediment surrounding the river, channel belts, once hardened into rock, preserve the paths of rivers that once were. However, reconstructing details about an ancient river from channel belt deposits is a notoriously difficult task.

New research from scientists at The University of Texas at Austin is making progress on that front. Lead author Tian Dong, a postdoctoral researcher at the UT Jackson School of Geosciences, said that by analyzing modern rivers they have been able to come up with a rule that connects channel belts to river patterns, finding that, in general, the more channels a river has, the narrower its channel belt.

Since the physics of shaping rivers is the same over time and place, the rule should hold for ancient rivers and rivers on other planets, too, according to co-author Timothy Goudge, an assistant professor at the Jackson School.

“We can look at a river deposit from 100 million years ago on Earth or from 3.5 billion years ago on Mars and we can say something about what the actual river looked like,” he said.

The results were published in the journal Geology.

Researchers Model Accelerator Magnets' History Using Machine Learning Approach

A magnet on a test stand inside SLAC National Accelerator Laboratory. Researchers have created a machine-learning model that will help predict how magnets will perform during beam experiments, among other applications.
Credit: Scott Anderson, SLAC National Accelerator Laboratory

Knowing a magnet’s past will allow scientists to customize particle beams more precisely in the future. As accelerators stretch for higher levels of performance, understanding subtle effects, such as those introduced by magnetic history, is becoming more critical.

After a long day of work, you might feel tired or exhilarated. Either way, you are affected by what happened to you in the past.

Accelerator magnets are no different. What they went through – or what went through them, like an electric current – affects how they will perform in the future.

Without understanding a magnet’s past, researchers might need to fully reset them before starting a new experiment, a process that can take 10 or 15 minutes. Some accelerators have hundreds of magnets, and the process can quickly become time-consuming and costly.

Now a team of researchers from the Department of Energy’s SLAC National Accelerator Laboratory and other institutions have developed a powerful mathematical technique that uses concepts from machine learning to model a magnet’s previous states and make predictions about future states. This new approach eliminates the need to reset the magnets and results in improvements in accelerator performance immediately.

Bringing back native predators to tackle invasive species crisis

Source: Queen's University Belfast

Invasive species are one of the greatest threats to biodiversity globally and are the main cause for the extinction of vertebrates in the last century, with an estimated cost of at least $162 billion (USD) a year.

Native predator populations have been depleted globally, despite being essential for the functioning of the ecosystem and biodiversity. The absence of native predators facilitates the spread of invasive species leading to the extinction of native species throughout the world.

The research, published today in Global Change Biology, found that restoring native predators could provide a solution to a variety of the most damaging invasive species globally. According to the study, the evolutionary naivety of invasive species to native predators, coupled with a lack of spatial refuges from predation could underpin the abilities of native predators to provide effective control of certain established invasive species.

The research team have previously shown how the recovery of the native pine marten in the UK and Ireland has resulted in landscape-scale declines of the invasive grey squirrel. Building on this research, the team have now evaluated native predator reintroduction and restoration as a viable nature-based solution to the invasive species crisis.

Researchers discover long-extinct giant dwarf crocodile species

Researchers led by the University of Iowa have discovered two new species of crocodiles that roamed parts of Africa between 18 million and 15 million years ago and preyed on human ancestors. The Kinyang giant dwarf crocodiles (in gold) were up to four times the length of their modern relatives, dwarf crocodiles (shown in green). The new species discovery comes after analysis of the skull of a Kinyang specimen.
Credit: Christopher Brochu, University of Iowa.

Millions of years ago, giant dwarf crocodiles roamed a part of Africa with a taste for our human ancestors.

In a new study, researchers led by the University of Iowa announced the discovery of two new species of crocodiles that roamed east Africa between 15 million and 18 million years ago before mysteriously disappearing. The species, called giant dwarf crocodiles, are related to dwarf crocodiles currently found in central and west Africa.

But the giant dwarf crocodiles were a lot bigger—hence, the name—than their modern relatives. Dwarf crocodiles rarely exceed 4 or 5 feet in length, but the ancient forms measured as long as 12 feet and likely were among the fiercest threats to any animal they encountered.

“These were the biggest predators our ancestors faced,” says Christopher Brochu, professor in the Department of Earth and Environmental Sciences at Iowa and the study’s corresponding author. “They were opportunistic predators, just as crocodiles are today. It would have been downright perilous for ancient humans to head down to the river for a drink.”

Chemists Created a Sensor that Accurately Detects the Saliva pH Level

Timofey Moseev has been engaged in research work since 2015.
Credit: Regina Pidgaetskaya

Chemists at UrFU have created a sensor for determining the pH of human saliva. This is a fluorophore with strong and stable emission, which picks up the smallest fluctuations in the pH in biological fluids (tenths). The analysis is performed using microdoses of the substance and a spectrometer, in which the substance is irradiated with a special lamp (its lifetime is tens of thousands of hours). The pH data appears in 5-7 seconds. The first results of joint studies of saliva samples and the sensor, conducted by scientific groups of the Department of Organic and Biomolecular Chemistry and the Department of Analytical Chemistry of the Institute of Chemical Engineering, are described in the famous Dyes and Pigments journal.

"Modern fluorometric pH sensors are based on small organic molecules. Typically, they are very sensitive and are able to detect the desired analyte in very low concentrations, up to nanoconcentrations. Our sensor is based on a new compound. We introduced a fluorinated fragment, and this allowed us to get the photophysical and electrochemical properties we needed," explains Timofey Moseev, an engineer-researcher at the Department of Organic and Biomolecular Chemistry at UrFU.

Saliva pH analysis is an accessible and non-invasive method of clinical diagnosis. With its help at an early stage, you can detect diseases, in particular gastrointestinal diseases: gastritis, stomach ulcers, duodenitis, etc. The pH level also affects the teeth: even a slight increase in the acidity of saliva can cause tooth decay and other problems.

Researchers develop the world's first ultra-fast photonic computing processor using polarization

Photonic computing processor chip
Credit: June Sang Lee

New research uses multiple polarization channels to carry out parallel processing – enhancing computing density by several orders over conventional electronic chips.

In a paper published in Science Advances, researchers at the University of Oxford have developed a method using the polarization of light to maximize information storage density and computing performance using nanowires.

Light has an exploitable property – different wavelengths of light do not interact with each other – a characteristic used by fiberoptic to carry parallel streams of data. Similarly, different polarizations of light do not interact with each other either. Each polarization can be used as an independent information channel, enabling more information to be stored in multiple channels, hugely enhancing information density.

First author and DPhil student June Sang Lee, Department of Materials, University of Oxford said: ‘We all know that the advantage of photonics over electronics is that light is faster and more functional over large bandwidths. So, our aim was to fully harness such advantages of photonics combining with tunable material to realize faster and denser information processing.’

AI detects autism speech patterns across different languages

The researchers believe their work could provide a tool that might one day transcend cultures, because of the computer’s ability to analyze words and sounds in a quantitative way regardless of language.
 Photo Credit: by Emily Wade on Unsplash

A new study led by Northwestern University researchers used machine learning — a branch of artificial intelligence — to identify speech patterns in children with autism that were consistent between English and Cantonese, suggesting that features of speech might be a useful tool for diagnosing the condition.

Undertaken with collaborators in Hong Kong, the study yielded insights that could help scientists distinguish between genetic and environmental factors shaping the communication abilities of people with autism, potentially helping them learn more about the origin of the condition and develop new therapies.

Children with autism often talk more slowly than typically developing children, and exhibit other differences in pitch, intonation and rhythm. But those differences (called “prosodic differences'' by researchers) have been surprisingly difficult to characterize in a consistent, objective way, and their origins have remained unclear for decades.

However, a team of researchers led by Northwestern scientists Molly Losh and Joseph C.Y. Lau, along with Hong Kong-based collaborator Patrick Wong and his team, successfully used supervised machine learning to identify speech differences associated with autism.

A warming climate decreases microbial diversity

Researchers with the Institute for Environmental Genomics at the University of Oklahoma are investigating plant diversity and taking samples for microbial diversity analysis. 
Credit: Institute for Environmental Genomics, University of Oklahoma

Researchers at the University of Oklahoma have found that the warming climate is decreasing microbial diversity, which is essential for soil health. Led by Jizhong Zhou, Ph.D., the director of the Institute for Environmental Genomics at OU, the research team conducted an eight-year experiment that found that climate warming played a predominant role in shaping microbial biodiversity, with significant negative effect. Their findings are published in Nature Microbiology.

“Climate change is a major driver of biodiversity loss from local to global scales, which could further alter ecosystem functioning and services,” Zhou said. “Despite the critical importance of belowground soil biodiversity in maintaining ecosystem functions, how climate change might affect the richness and abundant distribution of soil microbial communities (bacteria, fungi, protists) was unresolved.”

Using a long-term multifactor experimental field site at OU, researchers with the university’s Institute for Environmental Genomics examined the changes of soil microbial communities in response to experimental warming, altered precipitation and clipping (annual biomass removal) on the grassland soil bacterial, fungal and protistan biodiversity since 2009.

Stanford engineers develop tiny robots to bring health care closer to precisely targeted drug delivery

The origami millirobot integrates capabilities of spinning-enabled multimodal locomotion, cargo transportation, and targeted drug delivery.
Credit: Zhao Lab

A Stanford mechanical engineer creates multifunctional wireless robots to maximize health outcomes and minimize invasiveness of procedures.

If you’ve ever swallowed the same round tablet in hopes of curing everything from stomach cramps to headaches, you already know that medicines aren’t always designed to treat precise pain points. While over-the-counter pills have cured many ailments for decades, biomedical researchers have only recently begun exploring ways to improve targeted drug delivery when treating more complicated medical conditions, like cardiovascular disease or cancer.

A promising innovation within this burgeoning area of biomedicine is the millirobot. These fingertip-sized robots are poised to become medicine’s future lifesavers – to crawl, spin, and swim to enter narrow spaces on their mission to investigate inner workings or dispense medicines.

Right Whales’ Survival Rates Plummet After Severe Injury from Fishing Gear

Source: Duke University

Most North Atlantic right whales that are severely injured in fishing gear entanglements die within three years, a new study led by scientists at the New England Aquarium and Duke University finds.

North Atlantic right whales are a critically endangered species whose population has shrunk in recent decades. Scientists estimate fewer than 350 of the iconic whales are still alive in the wild today.

To examine the role fishing gear entanglements have played in the species’ decline, the researchers tracked the outcomes of 1,196 entanglements involving 573 right whales between 1980 and 2011 and categorized each run-in based on the severity of the injury incurred

The data revealed that male and female right whales with severe injuries were eight times more likely to die than males with minor injuries, and only 44% of males and 33% of females with severe injuries survived longer than 36 months.

Females that did survive had much lower birth rates and longer intervals between calving, a worrisome trend for the long-term survival of the species.