Purpose in life, or a sense that your life is guided by personally meaningful values and goals — which could involve family ties, religion, activism, parenthood, career or artistic ambitions, or many other things — has been associated in prior research with a wide range of positive health outcomes, both physical and psychological.

“In the face of adversity, people with a stronger sense of purpose in life tend to be more resilient because they have a clear sense of goals that motivate actions that are aligned with personal values,” says Yoona Kang, Ph.D., lead author and a Research Director of the Communication Neuroscience Lab. “People with strong purpose may also experience less conflict when making health decisions. We felt that the COVID-19 pandemic was an important context to test whether purpose in life relates to individuals’ willingness to engage in behaviors to protect themselves and others.”

Based on their prior research, Kang and her collaborators expected that people with higher sense of purpose would be more likely to engage in COVID-19 prevention behaviors than individuals with a lower sense of purpose. In order to test their theory, the researchers surveyed more than 500 adult participants to capture their levels of purpose in life, their current and pre-pandemic levels of loneliness, and the degrees to which they intended to engage in behaviors known to prevent the spread of COVID-19.

They found that higher levels of loneliness made people be less focused on protecting themselves from COVID-19, and more skeptical that behaviors to prevent COVID-19 would be effective. However, having a stronger sense of purpose was associated with lower levels of loneliness and a greater desire to take action to protect themselves from COVID-19. Those with a higher sense of purpose also expressed a stronger belief that COVID-19 prevention behaviors would work. Even when people who had a strong sense of purpose did report being lonely, they still felt strongly about taking precautions to prevent COVID-19.

“When faced with extreme loneliness and social isolation, like during the COVID-19 pandemic, wanting to connect with other people, despite the health risks, is a natural response,” Kang says. “And yet, amidst this drastic shift in social life, we found that people with a higher sense of purpose were more likely to engage in prevention behaviors. This is striking because it shows that purpose in life can empower people to make life-saving health decisions that protect their own health and those around them.”

Additionally, the researchers found that older people expressed less loneliness during the COVID-19 pandemic than younger people. Kang sees this as a sign of the resilience of older adults, and she hopes to further study how to enhance purpose in life and resilience in aging populations.

“Having a stronger sense of purpose was associated with really important, positive outcomes across the lifespan,” says Emily Falk, senior author, Director of the Communication Neuroscience Lab, and Professor of Communication, Psychology, and Marketing. “Our upcoming work will test interventions to increase their sense of purpose, in hopes of bringing these benefits to more people.”

The study, published this month in The Gerontologist, is entitled “Purpose in Life, Loneliness, and Protective Health Behaviors during the COVID-19 Pandemic.” In addition to Kang and Falk, authors include Danielle Cosme, Ph.D.; Rui Pei, Ph.D.; Prateekshit Pandey; and José Carreras-Tartak.

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Materials provided by University of Pennsylvania. Original written by Ashton Yount. Note: Content may be edited for style and length.

While there are few known instances of disease-causing viruses jumping directly from bats to humans, some viruses carried by bats may jump to other animals and then become transmitted to humans. For instance, SARS-CoV-2, the virus behind the ongoing COVID-19 pandemic, is thought to have originated from a virus that was transmitted from a bat to another animal before infecting humans.

Monitoring the viruses harbored by bats around the world could improve understanding and detection of those that pose risk to humans. However, while previous research has investigated viruses carried by bats in several different countries, none have focused on Switzerland.

To fill that knowledge gap, Hardmeier and colleagues investigated viruses carried by more than 7,000 bats living in Switzerland. Specifically, they analyzed DNA and RNA sequences of viruses found in organ, fecal, or stool samples collected from the bats.

This genomic analysis revealed the presence of 39 different families of viruses, including 16 families previously found to be able to infect other vertebrates, and which therefore could potentially be transmitted to other animals or humans. Further analysis of viruses with this risk revealed that one of the studied bat colonies harbored a near-complete genome of a virus known as Middle East respiratory syndrome (MERS)-related coronavirus (CoV). While the MERS-CoV-related virus is not known to cause disease in humans, MERS-CoV has been responsible for an epidemic in 2012.

The authors note that genomic analysis of bat stool samples could be a useful tool to continuously monitor viruses harbored by bats, including the MERS-CoV-related virus. This type of tracking could potentially detect accumulations of viral genetic mutations that could increase the risk of transmission to other animals, enabling earlier detection of viruses that pose danger to humans.

The authors add: “Metagenomic analysis of bats endemic to Switzerland reveals broad virus genome diversity. Virus genomes from 39 different virus families were detected, 16 of which are know to infect vertebrates, including coronaviruses, adenoviruses, hepeviruses, rotaviruses A and H, and parvoviruses.”

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Materials provided by PLOS. Note: Content may be edited for style and length.

“The biggest challenges with moving through the ground are simply the forces involved,” said Nicholas Naclerio, a graduate student researcher in the lab of UC Santa Barbara mechanical engineering professor Elliot Hawkes and lead author of a paper on the cover of the journal Science Robotics. Whereas air and water offer little resistance to objects moving through them, he explained, the subterranean world is another story.

“If you’re trying to move through the ground, you have to push the soil, sand or other medium out of the way,” Naclerio said.

Fortunately, the natural world provides numerous examples of underground navigation in the form of plants and fungi that build underground networks and animals that have mastered the ability to tunnel directly through granular media. Gaining a mechanical understanding of how plants and animals have mastered subterranean navigation opens up many possibilities for science and technology, according to Daniel Goldman, Dunn Family Professor of Physics at Georgia Tech.

“Discovery of principles by which diverse organisms successfully swim and dig within granular media can lead to development of new kinds of mechanisms and robots that can take advantage of such principles,” he said. “And reciprocally, development of a robot with such capabilities can inspire new animal studies as well as point to new phenomena in the physics of granular substrates.”

The researchers had a good head start with a vine-like soft robot designed in the Hawkes Lab that mimics plants and the way they navigate by growing from their tips, while the rest of the body remains stationary. In the subterranean setting, tip extension, according to the researchers, keeps resisting forces low and localized only to the growing end; if the whole body moved as it grew, friction over the entire surface would increase as more of the robot entered the sand until the robot could no longer move.

Burrowing animals, meanwhile, serve as inspiration for an additional strategy called granular fluidization, which suspends the particles in a fluid-like state and allows the animal to overcome the high level of resistance presented by sand or loose soil. The southern sand octopus, for instance, expels a jet of water into the ground, and uses its arms to pull itself into the temporarily loosened sand. That ability made its way onto the researchers’ robot in the form of a tip-based flow device that shoots air into the region just ahead of the growing end, enabling it to move into that area.

“The biggest challenge we found and what took the longest to solve was when we switched to horizontal burrowing, our robots would always surface,” Naclerio said. Whereas gases or liquids evenly flow over and under a traveling symmetric object, he explained, in fluidized sand, the distribution of forces is not as balanced, and creates a significant lift force for the horizontally travelling robot. “It’s much easier to push the sand up and out of the way than it is to compact it down.”

To understand the robot’s behavior and the largely unexplored physics of air-aided intrusions, the team took drag and lift measurements as a result of different angles of airflow into from the tip of a solid rod shoved horizontally into sand.

“Frictional force response in granular materials greatly differs from that of Newtonian fluids, as intruding into sand can compact and stress large swaths of terrain in the direction of motion due to high friction,” said Andras Karsai, a graduate student researcher in Goldman’s lab. “To mitigate this, a low-density fluid that lifts and pushes grains away from an intruder will often reduce the net frictional stress it has to overcome.”

Unlike with gas or liquid, where a downward fluid jet would create lift for the travelling object, in sand the downward air flow reduced the lift forces and excavated the sand below the robot’s growing tip. This, combined with inspiration from the sandfish lizard, whose wedge-shaped head favors downward movement, allowed the researchers to modulate the resisting forces and keep the robot moving horizontally without rising out of the sand.

A small, exploratory, soft robot such as this has a variety of applications where shallow burrowing through dry granular media is needed, such as soil sampling, underground installation of utilities and erosion control. Tip extension enables changes in direction, while also allowing the body of the robot to modulate how firmly anchored it is in the medium — control that could become useful for exploration in low gravity environments. In fact, the team is working on a project with NASA to develop burrowing for the moon or even more distant bodies, like Enceladus, a moon of Jupiter.

“We believe burrowing has the potential to open new avenues and enable new capabilities for extraterrestrial robotics,” Hawkes said.

Research for this paper was conducted also by Mason Murray-Cooper, Yasemin Ozkan-Aydin and Enes Aydin at Georgia Institue of Technology.

Video: https://www.youtube.com/watch?v=v1nmNDtqs4Q

That process of turning sunlight directly into usable energy — called photosynthesis — may soon be a feat humans are able to mimic to harness the sun’s energy for clean, storable, efficient fuel. If so, it could open a whole new frontier of clean energy. Enough energy hits the earth in the form of sunlight in one hour to meet all human civilization’s energy needs for an entire year.

Yulia Puskhar, a biophysicist and professor of physics in Purdue’s College of Science, may have a way to harness that energy by mimicking plants.

Wind power and solar power, harnessed by photovoltaic cells, are the two major forms of clean energy available. Adding a third — synthetic photosynthesis — would dramatically change the renewable energy landscape. The ability to store the energy easily, without requiring bulky batteries, would dramatically improve humans’ ability to power society cleanly and efficiently.

Both wind turbines and photovoltaics have downside in terms of environmental effects and complicating factors. Pushkar hopes that artificial photosynthesis might be able to bypass those pitfalls.

“We and other researchers around the world are working incredibly hard to try to come up with accessible energy,” Pushkar said. “Energy that is clean and sustainable that we can create with nontoxic, easily available elements. Our artificial photosynthesis is the way forward.”

Photosynthesis is a complex dance of processes whereby plants convert the sun’s radiance and water molecules into usable energy in the form of glucose. To do this, they use a pigment, usually the famous chlorophyll, as well as proteins, enzymes and metals.

The closest process to artificial photosynthesis humans have today is photovoltaic technology, where a solar cell converts the sun’s energy into electricity. That process is famously inefficient, able to capture only about 20% of the sun’s energy. Photosynthesis, on the other hand, is radically more efficient; it is capable of storing 60% of the sun’s energy as chemical energy in associated biomolecules.

The efficiency of simple photovoltaic cells — solar panels — is limited by semiconductors’ ability to absorb light energy and by the cell’s ability to produce power. That limit is something scientists could surpass with synthetic photosynthesis.

“With artificial photosynthesis, there are not fundamental physical limitations,” Pushkar said. “You can very easily imagine a system that is 60% efficient because we already have a precedent in natural photosynthesis. And if we get very ambitious, we could even envision a system of up to 80% efficiency.

“Photosynthesis is massively efficient when it comes to splitting water, a first step of artificial photosynthesis. Photosystems II proteins in plants do this a thousand times a second. Blink, and it’s done.”

Pushkar’s group is mimicking the process by building her own artificial leaf analog that collects light and splits water molecules to generate hydrogen. Hydrogen can be used as a fuel by itself via fuel cells or be added to other fuels such as natural gas, or built into fuel cells to power everything from vehicles to houses to small electronic devices, laboratories and hospitals. Her most recent discovery, an insight into the way water molecules split during photosynthesis, was recently published in the journal Chem Catalysis: Cell Press.

Scientists in Pushkar’s lab experiment with natural photosystem II proteins and synthetic catalysts combinations in attempts to understand what works best — and why. She also puts a priority on using compounds and chemicals that are readily abundant on Earth, easily accessible and nontoxic to the planet.

Progress in artificial photosynthesis is complicated, though, by the fact that photosynthesis is so multifaceted, a fact bemoaned by biochemistry students everywhere.

“The reaction is very complex,” Pushkar said. “The chemistry of splitting water molecules is extremely intricate and difficult.”

Scientists have been working on artificial photosynthesis since the 1970s. That’s a long time, but not when you remember that photosynthesis took millions of years to evolve. Not only that, but scientists believe that, unlike flight, communication or intelligence, photosynthesis has evolved only once — about 3 billion years ago, only about 1.5 billion years into Earth’s existence.

Pushkar posits that within the next 10-15 years, enough progress will have been made that commercial artificial photosynthesis systems may begin to come online. Her research is funded by the National Science Foundation.

However, something unexpected will occur as E. coli cells end their journey through your digestive tract. Without warning, they will find themselves swimming in your toilet bowl, clinging to the last bits of nutrients attached to their bodies. How do these tiny organisms adapt to survive sudden starvation? Scientists at Washington University in St. Louis wondered.

Close examination of nutrient-deprived E. coli under the microscope — a routine process in a lab that studies bacterial cell size — revealed cells that looked different, and that these differences are related to their ability to survive.

“Their cytoplasm shrank. As it shrank, the inner membrane pulled away from the outer membrane and left a big space at one end of the cell,” said Petra Levin, professor of biology in Arts & Sciences, whose postdoctoral scientist, Corey Westfall, and undergraduate student, Jesse Kao, first made the observation.

The space to which Levin refers, between the bacteria’s inner and outer membranes, is called the periplasm. In collaboration with Kerwyn Casey Huang, professor of bioengineering and of microbiology and immunology at Stanford University, and his postdoctoral scientist, Handuo Shi, Levin found an unexpected developmental response to starvation — one that may be keeping E. coli alive until they find their next buffet.

The work is published this week in the Proceedings of the National Academy of Sciences.

The biologists showed that when E. coli cells lack nutrients, the cytoplasm becomes more dense as its volume decreases, probably because of water loss. At the same time, the periplasm increases in volume as the inner membrane pulls away from the outer membrane.

“Although we don’t know for sure yet, we think that the cell is concentrating the nutrients in the cytoplasm so that it can keep running metabolism at a high rate,” Levin said. “Perhaps this is an adaptation to E. coli‘s constantly and rapidly changing lifestyle, in which it knows that each environment is temporary.”

The shrinking is reversible, the scientists found. Once they transferred the starving bacteria into a nutrient-rich medium, the inner membrane and the cytoplasm expanded. The bacterial cells rapidly rebounded from starvation, especially when E. coli received their favorite carbon source, glucose. And, importantly, if the Tol-Pal system was intact.

The Tol-Pal system is a critical cellular machinery composed of proteins that connect the outer membrane to the inner membrane. But its function has been understudied. As the inner membrane expands, the Tol-Pal system helps to reconnect it with the outer membrane, the scientists speculate. When the Tol-Pal system was absent, the internal contents of the cells bled out.

“We speculate that Tol-Pal acts as the zipper slider, helping the inner membrane zip into the outer membrane coat during recovery,” Levin said.

What happens to the transmembrane proteins, embedded in both the inner and outer membrane, when the inner membrane pulls away from the outer membrane? Do they get ripped apart? Levin and colleagues do not know yet and hope to answer these questions in the future.

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Materials provided by Washington University in St. Louis. Original written by Marta Wegorzewska. Note: Content may be edited for style and length.

Researchers at the University of Washington have developed a deep learning method that can do just that: If given a single photo of a waterfall, the system creates a video showing that water cascading down. All that’s missing is the roar of the water and the feeling of the spray on your face.

The team’s method can animate any flowing material, including smoke and clouds. This technique produces a short video that loops seamlessly, giving the impression of endless movement. The researchers will present this approach June 22 at the Conference on Computer Vision and Pattern Recognition.

“A picture captures a moment frozen in time. But a lot of information is lost in a static image. What led to this moment, and how are things changing? Think about the last time you found yourself fixated on something really interesting — chances are, it wasn’t totally static,” said lead author Aleksander Holynski, a doctoral student in the Paul G. Allen School of Computer Science & Engineering.

“What’s special about our method is that it doesn’t require any user input or extra information,” Holynski said. “All you need is a picture. And it produces as output a high-resolution, seamlessly looping video that quite often looks like a real video.”

Developing a method that turns a single photo into a believable video has been a challenge for the field.

“It effectively requires you to predict the future,” Holynski said. “And in the real world, there are nearly infinite possibilities of what might happen next.”

The team’s system consists of two parts: First, it predicts how things were moving when a photo was taken, and then uses that information to create the animation.

To estimate motion, the team trained a neural network with thousands of videos of waterfalls, rivers, oceans and other material with fluid motion. The training process consisted of asking the network to guess the motion of a video when only given the first frame. After comparing its prediction with the actual video, the network learned to identify clues — ripples in a stream, for example — to help it predict what happened next. Then the team’s system uses that information to determine if and how each pixel should move.

The researchers tried to use a technique called “splatting” to animate the photo. This method moves each pixel according to its predicted motion. But this created a problem.

“Think about a flowing waterfall,” Holynski said. “If you just move the pixels down the waterfall, after a few frames of the video, you’ll have no pixels at the top!”

So the team created “symmetric splatting.” Essentially, the method predicts both the future and the past for an image and then combines them into one animation.

“Looking back at the waterfall example, if we move into the past, the pixels will move up the waterfall. So we will start to see a hole near the bottom,” Holynski said. “We integrate information from both of these animations so there are never any glaringly large holes in our warped images.”

Finally, the researchers wanted their animation to loop seamlessly to create a look of continuous movement. The animation network follows a few tricks to keep things clean, including transitioning different parts of the frame at different times and deciding how quickly or slowly to blend each pixel depending on its surroundings.

The team’s method works best for objects with predictable fluid motion. Currently, the technology struggles to predict how reflections should move or how water distorts the appearance of objects beneath it.

“When we see a waterfall, we know how the water should behave. The same is true for fire or smoke. These types of motions obey the same set of physical laws, and there are usually cues in the image that tell us how things should be moving,” Holynski said. “We’d love to extend our work to operate on a wider range of objects, like animating a person’s hair blowing in the wind. I’m hoping that eventually the pictures that we share with our friends and family won’t be static images. Instead, they’ll all be dynamic animations like the ones our method produces.”

Video showing method: https://www.youtube.com/watch?v=4zKliOMilGY

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Materials provided by University of Washington. Original written by Sarah McQuate. Note: Content may be edited for style and length.