Artificial intelligence can create better lightning forecasts

Lightning is one of the most destructive forces of nature, as in 2020 when it sparked the massive California Lightning Complex fires, but it remains hard to predict. A new study led by the University of Washington shows that machine learning — computer algorithms that improve themselves without direct programming by humans — can be used to improve lightning forecasts.

Better lightning forecasts could help to prepare for potential wildfires, improve safety warnings for lightning and create more accurate long-range climate models.

“The best subjects for machine learning are things that we don’t fully understand. And what is something in the atmospheric sciences field that remains poorly understood? Lightning,” said Daehyun Kim, a UW associate professor of atmospheric sciences. “To our knowledge, our work is the first to demonstrate that machine learning algorithms can work for lightning.”

The new technique combines weather forecasts with a machine learning equation based on analyses of past lightning events. The hybrid method, presented Dec. 13 at the American Geophysical Union’s fall meeting, can forecast lightning over the southeastern U.S. two days earlier than the leading existing technique.

“This demonstrates that forecasts of severe weather systems, such as thunderstorms, can be improved by using methods based on machine learning,” said Wei-Yi Cheng, who did the work for his UW doctorate in atmospheric sciences. “It encourages the exploration of machine learning methods for other types of severe weather forecasts, such as tornadoes or hailstorms.”

Women Are Facing Greater Interruption Challenges with Remote Work Than Their Male Colleagues

Women employees are facing bigger career challenges than their male colleagues with interruptions to their work-from-home life, according to new research by UConn management professor Nora Madjar.

Madjar’s research, “Working from Home During COVID-19: A study of Interruption Landscape,’’ was published this month by the Journal of Applied Psychology. She co-authored the piece with professors Sophie Leroy of the University of Washington and Aaron Schmidt of the University of Minnesota.

“The gender divide was particularly surprising to us. We had heard anecdotally that it occurred, but now we have empirical evidence that women are interrupted more frequently, both with work-related and personal responsibilities,’’ Madjar says.

“Women have paid an additional price since the onset of the pandemic,’’ she says. “This is more than just an inconvenience. Work interruptions are associated with reduced employee performance and higher levels of emotional exhaustion.’’

The researchers discovered some practical solutions that employers can take to help their employees minimize interruptions, including assistance in establishing a dedicated work space within the employee’s home.

Vaccines shown to induce lower levels of neutralizing antibodies against Omicron coronavirus variant

Vaccines shown to induce lower levels of neutralizing antibodies against Omicron coronavirus variant

Researchers used blood samples collected from Com-COV2 study participants who had received two doses of standard COVID-19 vaccination schedules to perform neutralization assays using Omicron virus isolate

Substantial fall in neutralizing titers suggest that while there is no evidence of increased potential to cause severe disease, or death, increased infections in previously infected, or vaccinated individuals may be likely

Increasing vaccine uptake among unvaccinated, and encouraging third doses, remain priority to reduce transmission levels and potential for severe disease

Researchers from the University of Oxford have analyzed the impact of the Omicron COVID-19 variant of concern on one of the immune responses generated by vaccination.

Using blood samples from individuals who had previously received two doses of the Oxford-AstraZeneca or Pfizer-BioNTech vaccines as part of the Com-COV study, and a live virus isolate, they demonstrate substantial decrease in neutralizing titers – a measure of the level of neutralizing antibodies generated in responses to vaccination against, or infection from, COVID-19.

The results, published on the pre-print server MedRxiv, indicate that the Omicron variant has the potential to drive a further wave of infections, including among those already vaccinated, although the researchers highlight that there is currently no evidence of increased potential to cause severe disease, hospitalizations or deaths in vaccinated populations.

What Is the Ozone Hole?

 

Let’s back up to the basics and understand what caused the Ozone Hole, its effects on the planet, and what scientists predict will happen in future decades.

Video: NASA/GSFC

Final Editing and Conversion: Scientific Frontline

Music Credit: “Glacial Shifts” “Crystallize” “Morning Dew” from Universal Production Music

Video Credits:

Kathleen Gaeta (AIMM): Lead Producer

Paul Newman (NASA/GSFC): Lead Scientist

Susan Strahan (USRA): Scientist

Adriana Manrique Gutierrez (KBRwyle): Animator

Walt Feimer (KBRwyle): Animator

Alexander Bodnar (AIMM): Animator

Kathryn Mersmann (KBRwyle): Technical Support

Artificial Intelligence that can discover hidden physical laws in various data

Diagram explaining the developed artificial intelligence technology
Credit: Yuhan Chen, Kobe University

Researchers at Kobe University and Osaka University have successfully developed artificial intelligence technology that can extract hidden equations of motion from regular observational data and create a model that is faithful to the laws of physics.

This technology could enable us to discover the hidden equations of motion behind phenomena for which the laws were considered unexplainable. For example, it may be possible to use physics-based knowledge and simulations to examine ecosystem sustainability.

The research group consisted of Associate Professor YAGUCHI Takaharu and PhD. student CHEN Yuhan (Graduate School of System Informatics, Kobe University), and Associate Professor MATSUBARA Takashi (Graduate School of Engineering Science, Osaka University).

These research achievements were made public on December 6, 2021, and were presented at the Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS2021), a prestigious meeting on artificial intelligence technologies. This research was among the top 3% selected for the spotlight category.

A longer-lasting COVID vaccine?

 Microscope image showing a human cell (pink)
heavily infected with SARS-CoV-2 virus particles (green and purple).
Credit: NIAID/NIH

Researchers at the Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research at UCLA have identified rare, naturally occurring T cells that are capable of targeting a protein found in SARS-CoV-2 and a range of other coronaviruses.

The findings suggest that a component of this protein, called viral polymerase, could potentially be added to COVID-19 vaccines to create a longer-lasting immune response and increase protection against new variants of the virus.

Background

Most COVID-19 vaccines use part of the spike protein found on the surface of the virus to prompt the immune system to produce antibodies. However, newer variants — such as delta and omicron — carry mutations to the spike protein, which can make them less recognizable to the immune cells and antibodies stimulated by vaccination. Researchers say that a new generation of vaccines will likely be needed to create a more robust and wide-ranging immune response capable of beating back current variants and those that may arise in the future.

One way to accomplish this is by adding a fragment of a different viral protein to vaccines — one that is less prone to mutations than the spike protein and that will activate the immune system’s T cells. T cells are equipped with molecular receptors on their surfaces that recognize foreign protein fragments called antigens. When a T cell encounters an antigen its receptor recognizes, it self-replicates and produces additional immune cells, some of which target and kill infected cells immediately and others which remain in the body for decades to fight that same infection should it ever return.

A bonding experience: Study reveals potential new family of compounds

Thomas E. Albrecht-Schoenzart,
Gregory R. Choppin Professor of Chemistry.

On the Periodic Table of Elements, there are elements that most people remember from school — oxygen, hydrogen, gold and silver. But there are also the ones that you might not immediately recognize, such as berkelium and einsteinium. These exotic elements are typically only used in specialized laboratories to understand how chemistry and physics change at the extremes of the table.

Those heavy elements, particularly radioactive ones, are exceptionally difficult to modify and control for specific purposes. But a Florida State University research team has found that they could design a ligand —a functional group of molecules used to build complex compounds — out of molecules typically used in solar cell technologies and create a completely unexpected effect when bonding them with a radioactive element. When they paired that ligand with the element berkelium, it caused a significant shift in the electron density of the compound.

“You normally wouldn’t think about bonding them to radioactive elements, but the idea was to polarize the electrons around berkelium to gain systematic control of bonding,” said Thomas Albrecht-Schoenzart, the Gregory R. Choppin Professor of Chemistry at Florida State University. “But it had this bigger effect in that it enhanced the bonding ability of anything that was directly across from this highly polarized binding agent, and it pulled the electron density from one side of the molecule to the other.”

The study was published today in Nature Communications.

In addition to berkelium, Albrecht-Schoenzart and his team tested the process on cerium, a silvery white metal that tarnishes when exposed to air and has some properties that are similar to berkelium. The effect was stronger in berkelium than cerium, but still significant.

New biosensors shine a light on CRISPR gene editing

Detecting the activity of CRISPR gene editing tools in organisms with the naked eye and an ultraviolet flashlight is now possible using technology developed at the Department of Energy’s Oak Ridge National Laboratory.

Scientists demonstrated these real-time detection tools in plants and anticipate their use in animals, bacteria and fungi with diverse applications for biotechnology, biosecurity, bioenergy and agriculture. The team described the successful development of the UV system in Horticulture Research and their proof-of-principle demonstration in ACS Synthetic Biology.

CRISPR technologies have quickly become the primary tools of bioengineering, and new versions are continually in development. Identifying whether an organism has been modified by CRISPR technology was previously a complex and time-consuming process.

“Before this, the only way to tell if genome engineering occurred was to do a forensic analysis,” said Paul Abraham, a bioanalytical chemist and head of ORNL’s Secure Ecosystem Engineering and Design Science Focus Area. “To be successful, you would need to know what the genome looked like before it was rewritten. We wanted to design a platform where we could proactively observe CRISPR activity.”

The research team developed an efficient self-detect solution that takes advantage of the way CRISPR works to trigger the technology to reveal itself. Under normal conditions, CRISPR works by connecting with a short RNA sequence, known as the guide RNA, as it leads CRISPR to a matching DNA sequence. When the target DNA is found, CRISPR modifies the DNA by acting like tiny molecular scissors to cut through one or both strands of DNA, depending on the type of CRISPR technology in use.

The tetra-neutron – a miniature neutron star

Dr. Roman Gernhäuser at the target chamber. The tetra-neutron particles were created in the center of this chamber. The reaction was detected using an extremely sensitive magnetic spectrograph.
Image: Uli Benz / Tum

Experiment finds evidence for a long-sought particle comprising four neutrons The tetra-neutron – a miniature neutron star

While all atomic nuclei except hydrogen are composed of protons and neutrons, physicists have been searching for a particle consisting of two, three or four neutrons for over half a century. Experiments by a team of physicists of the Technical University of Munich (TUM) at the accelerator laboratory on the Garching research campus now indicate that a particle comprising four bound neutrons may well exist.

While nuclear physicists agree that there are no systems in the universe made of only protons, they have been searching for particles comprising two, three or four neutrons for more than 50 years.

Should such a particle exist, parts of the theory of the strong interaction would need to be rethought. In addition, studying these particles in more detail could help us better understand the properties of neutron stars.

"The strong interaction is literally the force that holds the world together at its core. Atoms heavier than hydrogen would be unthinkable without it," says Dr. Thomas Faestermann, who directed the

Novel model can aid decisions in electricity generation, stream water quality

A student working in a geosciences class with Susan L. Brantley, Barnes Professor of Geosciences, takes a water sample in central Pennsylvania. Students in the class noticed that some streams near power plants showed improvements in water quality and thought that power plants switching from coal to natural gas may explain the positive results. A Penn State-led research team developed a novel model to detect if power plants shifting from coal to natural gas is affecting stream water quality regionally. Credit: Susan Brantley / Penn State

Switching from coal to natural gas in power plants can reduce how much sulfur dioxide, a gas that smells like a freshly struck match, is emitted into the atmosphere and ultimately how much sulfate pollution enters waterways, according to a Penn State-led research team that has developed a model to detect if the recent switch from coal to gas is affecting streams.

“The number of power plants switching from coal to natural gas is increasing, and sulfur dioxide emissions in Pennsylvania and across the United States are decreasing dramatically,” said Xianzeng Niu, assistant research professor in Penn State’s Earth and Environmental Systems Institute (EESI). “Both technology and the shift of fuels have contributed to this trend. We wanted to look at how this trend has affected water quality.”

Coal- and natural gas-burning power plants emit sulfur dioxide into the atmosphere, but coal has a much higher sulfur content than natural gas and releases more sulfur dioxide when burned. The sulfur particles eventually fall back down to earth and can acidify streams. Too much sulfur, which enters waterways in the form of sulfate, can cause water chemistry to become harmful to ecosystems.