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COâ‚‚ puts heavier stamp on temperature than previously thought, analysis suggests

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COâ‚‚ puts heavier stamp on temperature than previously thought, analysis suggests


 Pacific Ocean
Credit: Pixabay/CC0 Public Domain

A doubling of the amount of CO2 in the atmosphere could cause an increase in the average temperature on Earth from 7 to a maximum of 14 degrees. This is shown in the analysis of sediments from the Pacific Ocean off the coast of California, by researchers at NIOZ and the Universities of Utrecht and Bristol. Their results were published in Nature Communications.

“The temperature rise we found is much larger than the 2.3 to 4.5 degrees that the UN climate panel, IPCC, has been estimating so far,” said the first author, Caitlyn Witkowski.

The researchers used a 45-year-old drill core extracted from the bottom of the Pacific Ocean. “I realized that this core is very attractive for researchers, because the ocean floor at that spot has had oxygen-free conditions for many millions of years,” said Professor Jaap Sinninghe Damsté, senior scientist at NIOZ and professor of organic geochemistry at Utrecht University.

“As a result, organic matter is not broken down as quickly by microbes and more carbon is preserved,” Damsté said. He was also the supervisor of Witkowski, whose doctorate thesis included this research.

“CO2 over the past 15 million years has never before been examined from a single location,” Witkowski said. The upper thousand meters of the drill core correspond to the past 18 million years. From this record, the researchers were able to extract an indication of the past seawater temperature and an indication of ancient atmospheric CO2 levels, using a new approach.

Derived temperature

The researchers derived the temperature using a method developed 20 years ago at NIOZ, called the TEX86 method. “That method uses specific substances that are present in the membrane of archaea, a distinct class of microorganisms,” Damsté explains.

“Those archaea optimize the chemical composition of their membrane depending on the temperature of the water in the upper 200 meters of the ocean. Substances from that membrane can be found as molecular fossils in the ocean sediments, and analyzed to this day.”

CO2 from chlorophyll and cholesterol

The researchers developed a new approach to derive past atmospheric CO2 content by using the chemical composition of two specific substances commonly found in algae: chlorophyll and cholesterol. This is the first study to use cholesterol for quantitative CO2 and the first study to use chlorophyll for this time period. To create these substances, algae must absorb CO2 from the water and fix it via photosynthesis.

Damsté said, “A very small fraction of the carbon on Earth occurs in a ‘heavy form,’ 13C instead of the usual 12C. Algae have a clear preference for 12C. However, the lower the CO2 concentration in the water, the more algae will also use the rare 13C. Thus, the 13C content of these two substances is a measure of the CO2 content of the ocean water. And that in turn, according to solubility laws, correlates with the CO2 content of the atmosphere.”

Using this new method, it appears that the CO2 concentration dropped from about 650 parts per million, 15 million years back, to 280 just before the industrial revolution.

Stronger relationship

When the researchers plot the derived temperature and atmospheric CO2 levels of the past 15 million years against each other, they find a strong relationship.

The average temperature 15 million years back was over 18 degrees: 4 degrees warmer than today and about the level that the UN climate panel, IPCC, predicts for the year 2100 in the most extreme scenario.

“So, this research gives us a glimpse of what the future could hold if we take too few measures to reduce CO2 emissions and also implement few technological innovations to offset emissions,” Damsté said.

“The clear warning from this research is CO2 concentration is likely to have a stronger impact on temperature than we are currently taking into account.”

More information:
Caitlyn R. Witkowski et al, Continuous sterane and phytane δ13C record reveals a substantial pCO2 decline since the mid-Miocene, Nature Communications (2024). DOI: 10.1038/s41467-024-47676-9

Citation:
COâ‚‚ puts heavier stamp on temperature than previously thought, analysis suggests (2024, June 24)
retrieved 25 June 2024
from https://phys.org/news/2024-06-heavier-temperature-previously-thought-analysis.html

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Family conditions may have more of an impact on upward social mobility than gender inequality

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family
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Family conditions—specifically, how similar one’s social status and background is to one’s parents’ status—may play a bigger role in determining how easily an individual can shift into a wealthier socioeconomic class than gender inequality, according to a study of 153 countries published June 20, 2024 in the open-access journal PLOS ONE by Khanh Duong from Maynooth University, Ireland.

As global inequality increases, researchers have found that countries with higher levels of income inequality tend to experience lower rates of class mobility (in other words, individuals in a lower socioeconomic class find it more difficult to move into a wealthier class).

In this study, Duong analyzed how education, gender inequality, and family conditions (specifically, how similar children are to their parents, also known in this context as parental dependency) interact and affect class mobility. He used data from the Global Database on Intergenerational Mobility for 153 countries worldwide (of which 115 are classified as “developing economies”), further split into generational cohorts for each decade from the 1940s–1980s to build his model.

Duong’s preliminary analyses showed a positive relationship between education expansion and mobility, and a negative relationship between education inequality and mobility. Parental dependency showed only a weak positive correlation with mobility. However, following the application of estimation techniques to address confounding issues between parental dependency and other factors, the final model showed that parental dependency had the largest, negative effect on upward social mobility (with an effect size of 0.1).

Though increases in education promoted social mobility, the model showed this was a weak effect and was potentially ineffective when parental dependency existed at a high level. His model also showed that the gender inequality effect on mobility (as seen in the outcomes of families with daughters and sons) was significantly smaller (effect size of 0.005) than the parental dependency effect, although still present.

Duong suggests that policymakers promoting social mobility should focus on shifting traditions such as “like father, like son.”

He adds, “The study shows that while gender inequality in intergenerational mobility persists, it has significantly decreased across generations and is less important than parental influence. Thus, reassessing the roles of parental influence and gender bias is necessary, as the former is currently underestimated and the latter overemphasized.”

More information:
What really matters for global intergenerational mobility?, PLoS ONE (2024). DOI: 10.1371/journal.pone.0302173

Citation:
Family conditions may have more of an impact on upward social mobility than gender inequality (2024, June 20)
retrieved 25 June 2024
from https://phys.org/news/2024-06-family-conditions-impact-upward-social.html

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Space radiation can damage satellites—next-generation material could self-heal when exposed to cosmic rays

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Space radiation can damage satellites—next-generation material could self-heal when exposed to cosmic rays


Space radiation can damage satellites—next-generation material could self-heal when exposed to cosmic rays
Dual dose irradiation experiments. Irradiation of the PSC with a NIEL-dominated 0.06 MeV proton beam (red) is followed by irradiation with a 1.0 MeV proton beam (green). By varying the fluence of the two radiation exposures, we selectively demonstrate how IEL participates in partial recovery of the solar cell performance after initial radiation damage. Credit: Nature Communications (2024). DOI: 10.1038/s41467-024-44876-1

The space environment is harsh and full of extreme radiation. Scientists designing spacecraft and satellites need materials that can withstand these conditions.

In a paper published in January 2024 in Nature Communications, my team of materials researchers demonstrated that a next-generation semiconductor material called metal-halide perovskite can actually recover and heal itself from radiation damage.

Metal-halide perovskites are a class of materials discovered in 1839 that are found abundantly in Earth’s crust. They absorb sunlight and efficiently convert it into electricity, making them a potentially good fit for space-based solar panels that can power satellites or future space habitats.

Researchers make perovskites in the form of inks, then coat the inks onto glass plates or plastic, creating thin, filmlike devices that are lightweight and flexible.

Surprisingly, these thin-film solar cells perform as well as conventional silicon solar cells in laboratory demonstrations, even though they are almost 100 times thinner than traditional solar cells.

But these films can degrade if they’re exposed to moisture or oxygen. Researchers and industry are currently working on addressing these stability concerns for terrestrial deployment.






Cosmic rays move through space, and too much exposure can damage satellites and spacecraft.

To test how they might hold up in space, my team developed a radiation experiment. We exposed perovskite solar cells to protons at both low and high energies and found a unique, new property.

The high-energy protons healed the damage caused by the low-energy protons, allowing the device to recover and continue doing its job. The conventional semiconductors used for space electronics do not show this healing.

My team was surprised by this finding. How can a material that degrades when exposed to oxygen and moisture not only resist the harsh radiation of space but also self-heal in an environment that destroys conventional silicon semiconductors?

In our paper, we started to unravel this mystery.

Why it matters

Scientists predict that in the next 10 years, satellite launches into near-Earth orbit will increase exponentially, and space agencies such as NASA aim to establish bases on the moon.

Materials that can tolerate extreme radiation and self-heal would change the game.

Researchers estimate that deploying just a few pounds of perovskite materials into space could generate up to 10,000,000 watts of power. It currently costs about US$4,000 per kilogram ($1,818 per pound) to launch materials into space, so efficient materials are important.

What still isn’t known

Our findings shed light on a remarkable aspect of perovskites—their tolerance to damage and defects. Perovskite crystals are a type of soft material, which means that their atoms can move into different states that scientists call vibrational modes.

Atoms in perovskites are normally arranged in a lattice formation. But radiation can knock the atoms out of position, damaging the material. The vibrations might help reposition the atoms back into place, but we’re still not sure exactly how this process works.

What’s next?

Our findings suggest that soft materials might be uniquely helpful in extreme environments, including space.

But radiation isn’t the only stress that materials have to weather in space. Scientists don’t yet know how perovskites will fare when exposed to vacuum conditions and extreme temperature variations, along with radiation, all at once. Temperature could play a role in the healing behavior my team saw, but we’ll need to conduct more research to determine how.

These results tell us that soft materials could help scientists develop technology that works well in extreme environments. Future research could dive deeper into how the vibrations in these materials relate to any self-healing properties.

More information:
Ahmad R. Kirmani et al, Unraveling radiation damage and healing mechanisms in halide perovskites using energy-tuned dual irradiation dosing, Nature Communications (2024). DOI: 10.1038/s41467-024-44876-1

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Citation:
Space radiation can damage satellites—next-generation material could self-heal when exposed to cosmic rays (2024, June 24)
retrieved 25 June 2024
from https://phys.org/news/2024-06-space-satellites-generation-material-exposed.html

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China, France launch satellite to better understand the universe

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China, France launch satellite to better understand the universe


A Long March 2-C rocket carrying a satellite jointly developed by China and France to measure gamma-ray bursts lifts off from a space base in Xichang in southwestern China
A Long March 2-C rocket carrying a satellite jointly developed by China and France to measure gamma-ray bursts lifts off from a space base in Xichang in southwestern China.

A French-Chinese satellite blasted off Saturday on a hunt for the mightiest explosions in the universe, in a notable example of cooperation between a Western power and the Asian giant.

Developed by engineers from both countries, the Space Variable Objects Monitor (SVOM) is carrying four instruments—two French, two Chinese—that will seek out gamma-ray bursts, the light from which has traveled billions of light years to reach Earth.

The 930-kilogram (2,050-pound) satellite “successfully” took off around 3:00 pm (0700 GMT) aboard a Chinese Long March 2-C rocket from a space base in Xichang, in southwestern Sichuan province, China’s National Space Administration said.

Gamma-ray bursts generally occur after the explosion of huge stars—those more than 20 times as big as the sun—or the fusion of compact stars.

The extremely bright cosmic beams can give off a blast of energy equivalent to more than a billion billion suns.

Observing them is like “looking back in time, as the light from these objects takes a long time to reach us”, Ore Gottlieb, an astrophysicist at the Flatiron Institute’s Center for Astrophysics in New York, told AFP.

‘Several mysteries’

The rays carry traces of the gas clouds and galaxies they pass through on their journey through space—valuable data for better understanding the history and evolution of the universe.

“SVOM has the potential to unravel several mysteries in the field of (gamma-ray bursts), including detecting the most distant GRBs in the universe, which correspond to the earliest GRBs,” Gottlieb said.

The most distant bursts identified to date were produced just 630 million years after the Big Bang—when the universe was in its infancy.

“We are… interested in gamma-ray bursts for their own sake because they are very extreme cosmic explosions which allow us to better understand the death of certain stars,” said Frederic Daigne, an astrophysicist at the Paris Institute of Astrophysics.

“All of this data makes it possible to test the laws of physics with phenomena that are impossible to reproduce in the laboratory on Earth.”

A Long March 2-C rocket carrying a satellite jointly developed by China and France to measure gamma-ray bursts lifts off from a space base in Xichang in China’s southwest
A Long March 2-C rocket carrying a satellite jointly developed by China and France to measure gamma-ray bursts lifts off from a space base in Xichang in China’s southwest.

Once analyzed, the data could help to improve understanding of the composition of space, and the dynamics of gas clouds or other galaxies.

The project stems from a partnership between the French and Chinese space agencies as well as other scientific and technical groups from both nations.

“It’s a great success. We’ve managed to work well with our Chinese colleagues,” Philippe Baptiste, CEO of France’s CNES space agency, told AFP after the launch.

Space cooperation at this level between the West and China is fairly uncommon, especially since the United States banned all collaboration between NASA and Beijing in 2011.

Race against time

“US concerns on technology transfer have inhibited US allies from collaborating with the Chinese very much, but it does happen occasionally,” said Jonathan McDowell, an astronomer at the Harvard-Smithsonian Center for Astrophysics in the United States.

In 2018, China and France jointly launched CFOSAT, an oceanographic satellite mainly used in marine meteorology.

Several European countries have also taken part in China’s Chang’e lunar exploration program.

So while SVOM is “by no means unique”, it remains “significant” in the context of space collaboration between China and the West, said McDowell.

Once in orbit 625 kilometers (388 miles) above the Earth, the satellite will send its data back to observatories.

The main challenge is that gamma-ray bursts are extremely brief, leaving scientists in a race against time to gather information.

Once it detects a burst, SVOM will send an alert to a team on duty around the clock.

Within five minutes, they will have to rev up a network of telescopes on the ground that will align precisely with the axis of the burst’s source to make more detailed observations.

© 2024 AFP

Citation:
China, France launch satellite to better understand the universe (2024, June 22)
retrieved 25 June 2024
from https://phys.org/news/2024-06-china-france-satellite-universe.html

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New research shows why you don’t need to be perfect to get the job done

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New research shows why you don't need to be perfect to get the job done


New research shows why you don't need to be perfect to get the job done
Constructing compact behavioral programs. (A) Top: The space of strategies for solving a task can be large, with many strategies that achieve good enough performance. Bottom: Studying relationships between strategies could provide insight into behavioral variability across animals and tasks. (B) General task setup: An animal makes inferences about hidden properties of the environment to guide actions. (C) Specific task setup: An animal forages from two ports whose reward probabilities change over time. (D) The optimal unconstrained strategy consists of an optimal policy coupled to a Bayesian ideal observer. (E) We formulate a constrained strategy as a small program that uses a limited number of internal states to select actions based on past actions and observations. (F) Each program generates sequences of actions depending on the outcomes of past actions. (G) The optimal unconstrained strategy (D) can be translated into a small program by discretizing the belief update implemented by the ideal Bayesian observer and coupled to the optimal behavioral policy. Top: Optimal belief update. Middle: Belief values can be partitioned into discrete states (filled circles) labeled by the action they specify (blue versus green). The belief update specifies transitions between states, depending on whether a reward was received (solid versus dashed arrows). Bottom: States and transitions represented as a Bayesian program. (H) Top: A 30-state program approximates the Bayesian update in (G) and has two directions of integration that can be interpreted as increasing confidence about either option. Bottom: The two-state Bayesian program, win-stay, lose-go (WSLG), continues taking the same action upon winning (i.e., receiving a reward) and switches actions upon losing (i.e., not receiving a reward). (I) Example behavior produced by the 30-state Bayesian program in (H). Credit: Science Advances (2024). DOI: 10.1126/sciadv.adj4064

When neuroscientists think about the strategy an animal might use to carry out a task—like finding food, hunting prey, or navigating a maze—they often propose a single model that lays out the best way for the animal to accomplish the job.

But in the real world, animals—and humans—may not use the optimal way, which can be resource-intensive. Instead, they use a strategy that’s good enough to do the job but takes a lot less brain power.

In new research appearing in Science Advances, Janelia scientists set out to better understand the possible ways an animal could successfully solve a problem, beyond just the best strategy.

The work shows there is a huge number of ways an animal can accomplish a simple foraging task. It also lays out a theoretical framework for understanding these different strategies, how they relate to each other, and how they solve the same problem differently.

Some of these less-than-perfect options for accomplishing a task work nearly as well as the optimal strategy but with a lot less effort, the researchers found, freeing up animals to use precious resources to handle multiple tasks.

“As soon as you release yourself from being perfect, you would be surprised just how many ways there are to solve a problem,” says Tzuhsuan Ma, a postdoc in the Hermundstad Lab, who led the research.

The new framework could help researchers start examining these “good enough” strategies, including why different individuals might adapt different strategies, how these strategies might work together, and how generalizable the strategies are to other tasks. That could help explain how the brain enables behavior in the real world.

“Many of these strategies are ones we would have never dreamed up as possible ways of solving this task, but they do work well, so it’s entirely possible that animals could also be using them,” says Janelia Group Leader Ann Hermundstad. “They give us a new vocabulary for understanding behavior.”

Looking beyond perfection

The research began three years ago when Ma started wondering about the different strategies an animal could possibly use to accomplish a simple but common task: choosing between two options where the chance of being rewarded changes over time.

The researchers were interested in examining a group of strategies that fall between optimal and completely random solutions: “small programs” that are resource-limited but still get the job done. Each program specifies a different algorithm for guiding an animal’s actions based on past observations, allowing it to serve as a model of animal behavior.

As it turns out, there are many such programs—about a quarter of a million. To make sense of these strategies, the researchers first looked at a handful of the top-performing ones. Surprisingly, they found they were essentially doing the same thing as the optimal strategy, despite using fewer resources.

“We were a little disappointed,” Ma says. “We spent all this time searching for these small programs, and they all follow the same computation that the field already knew how to mathematically derive without all this effort.”

But the researchers were motivated to keep looking—they had a strong intuition that there had to be programs out there that were good but different from the optimal strategy. Once they looked beyond the very best programs, they found what they were looking for: about 4,000 programs that fall into this “good enough” category. And more importantly, more than 90% of them did something new.

They could have stopped there, but a question from a fellow Janelian spurred them on: How could they figure out which strategy an animal was using?

The question prompted the team to dive deep into the behavior of individual programs and develop a systematic approach to thinking about the entire collection of strategies. They first developed a mathematical way to describe the programs’ relationships to each other through a network that connected the different programs. Next, they looked at the behavior described by the strategies, devising an algorithm to reveal how one of these “good enough” programs could evolve from another.

They found that small changes to the optimal program can lead to big changes in behavior while still preserving performance. If some of these new behaviors are also useful in other tasks, it suggests that the same program could be good enough for solving a range of different problems.

“If you are thinking about an animal not being a specialist who is optimized to solve just one problem, but rather a generalist who solves many problems, this really is a new way to study that,” Ma says.

The new work provides a framework for researchers to start thinking beyond single, optimal programs for animal behavior. Now, the team is focused on examining how generalizable the small programs are to other tasks, and designing new experiments to determine which program an animal might be using to carry out a task in real time. They are also working with other researchers at Janelia to test their theoretical framework.

“Ultimately, getting a strong grasp on an animal’s behavior is an essential prerequisite to understanding how the brain solves different types of problems, including some that our best artificial systems only solve inefficiently, if at all,” Hermundstad says. “The key challenge is that animals might be using very different strategies than we might initially assume, and this work is helping us uncover that space of possibilities.”

More information:
Tzuhsuan Ma et al, A vast space of compact strategies for effective decisions, Science Advances (2024). DOI: 10.1126/sciadv.adj4064

Citation:
New research shows why you don’t need to be perfect to get the job done (2024, June 24)
retrieved 25 June 2024
from https://phys.org/news/2024-06-dont-job.html

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