Culture

ITHACA, N.Y. - Climate change will leave some farmers with a difficult conundrum, according to a new study by researchers from Cornell University and Washington State University: Either risk more revenue volatility, or live with a more predictable decrease in crop yields.

As water shortages and higher temperatures drive down crop yields in regions that depend heavily on seasonal snow, the choice to use more drought-tolerant crop varieties comes at a cost, according to model projections detailed in the paper "Water Rights Shape Crop Yield and Revenue Volatility Tradeoff for Adaptation in Snow Dependent Systems," published June 10 in Nature Communications.

The study examined the Yakima River Basin in Washington, where a complex combination of snow, reservoirs and water rights controls the availability of irrigation water. That water dictates the success of some of the U.S.' largest producers of wheat, corn, potatoes, pears, cherries, grapes, apples and hops. With proper snowfall and melt, total agricultural productivity in the basin can reach more than $4 billion a year.

The research team sought to quantify climate change's direct and indirect effects on irrigated agriculture in the basin. Researchers also wanted to know if drought-resistant crop varieties could help recover productivity during times of drought.

Climate risk modeling is a specialty of Patrick Reed, the Joseph C. Ford Professor of Engineering at Cornell's School of Civil and Environmental Engineering. In this collaborative study, Reed's group built on prior research at Washington State University that developed a modeling platform connecting crop growth and development, land-surface hydrology and river-system processes. The model simulates dam operations and prioritizes the allocation of water among different sectors within the Yakima River Basin.

The team found that higher water stress and temperatures led to lower crop yield, as anticipated, said Keyvan Malek, a postdoctoral researcher in Reed's group and lead author of the study.

"However, the models show that year-to-year variability in expected crop yields goes down because the difference between the best and worst case yields is reduced," said Malek. "While this is not a positive result, year-to-year fluctuations in crop yield revenue are strongly important in how crop insurance programs balance revenue fluctuations."

The team then used its model to explore the potential of new drought-tolerant crop varieties, which are expected to improve annual yields under climate change. The results showed that although those varieties could significantly improve the average yield, farmers could also experience much higher revenue volatility from crop production.

"Typical and best-case annual yields are much higher," said Jennifer Adam, Berry Distinguished Professor of Engineering at Washington State University and co-author of the study. "But climate change still is likely to cause severe droughts where current water management institutions in the Yakima River Basin simply cannot provide enough water, and there are severe worst-case crop failures."

The researchers argue that the best outcomes for crop yield and revenue volatility must be through a simultaneous improvement in crop varieties - for example, by preserving agrobiodiversity - and in water systems, such as through improvements in water-governing institutions and infrastructure.

It is important to carefully capture a snow-dependent region's specific management constraints while being innovative with climate adaptation strategies, the researchers said.

"Otherwise, systems may unintentionally strike the wrong balance as they trade off improving average yields and farmers' revenue volatility," Reed said.

A commentary published in the journal Pediatrics, the official peer-reviewed journal of the American Academy of Pediatrics, concludes that children infrequently transmit Covid-19 to each other or to adults and that many schools, provided they follow appropriate social distancing guidelines and take into account rates of transmission in their community, can and should reopen in the fall.

The authors, Benjamin Lee, M.D. and William V. Raszka, Jr., M.D., are both pediatric infectious disease specialists on the faculty of the University of Vermont's Larner College of Medicine. Dr. Raszka is an associate editor of Pediatrics.

The authors of the commentary, titled "COVID-19 Transmission and Children: The Child Is Not to Blame," base their conclusions on a new study published in the current issue of Pediatrics, "COVID-19 in Children and the Dynamics of Infection in Families," and four other recent studies that examine Covid-19 transmission by and among children.

--In the new Pediatrics study, Klara M. Posfay-Barbe, M.D., a faculty member at University of Geneva's medical school, and her colleagues studied the households of 39 Swiss children infected with Covid-19. Contact tracing revealed that in only three (8%) was a child the suspected index case, with symptom onset preceding illness in adult household contacts.

--In a recent study in China, contact tracing demonstrated that, of the 68 children with Covid-19 admitted to Qingdao Women's and Children's Hospital from January 20 to February 27, 2020, 96% were household contacts of previously infected adults. In another study of Chinese children, nine of 10 children admitted to several provincial hospitals outside Wuhan contracted Covid-19 from an adult, with only one possible child-to-child transmission, based on the timing of disease onset.

--In a French study, a boy with Covid-19 exposed over 80 classmates at three schools to the disease. None contracted it. Transmission of other respiratory diseases, including influenza transmission, was common at the schools.

--In a study in New South Wales, nine infected students and nine staff across 15 schools exposed a total of 735 students and 128 staff to Covid-19. Only two secondary infections resulted, one transmitted by an adult to a child.

"The data are striking," said Dr. Raszka. "The key takeaway is that children are not driving the pandemic. After six months, we have a wealth of accumulating data showing that children are less likely to become infected and seem less infectious; it is congregating adults who aren't following safety protocols who are responsible for driving the upward curve."

Rising cases among adults and children in Texas childcare facilities, which have seen 894 Covid-19 cases among staff members and 441 among children in 883 child care facilities across the state, have the potential to be misinterpreted, Dr. Raszka said. He has not studied the details of the outbreak.

"There is widespread transmission of Covid-19 in Texas today, with many adults congregating without observing social distancing or wearing masks," he said. "While we don't yet know the dynamics of the outbreak, it is unlikely that infants and children in daycare are driving the surge. Based on the evidence, it's more plausible that adults are passing the infection to the children in the vast majority of cases."

Additional support for the notion that children are not significant vectors of the disease comes from mathematical modeling, the authors say. Models show that community-wide social distancing and widespread adoption of facial cloth coverings are far better strategies for curtailing disease spread, and that closing schools adds little. The fact that schools have reopened in many Western European countries and in Japan without seeing a rise in community transmissions bears out the accuracy of the modeling.

Reopening schools in a safe manner this fall is important for the healthy development of children, the authors say. "By doing so, we could minimize the potentially profound adverse social, developmental, and health costs that our children will continue to suffer until an effective treatment or vaccine can be developed and distributed, or failing that, until we reach herd immunity," the paper concludes.

The ability to recognize faces is a complex neurocognitive skill with important social implications. The disorder, which, according to some estimates, affects more than 2 percent of the population, can lead to isolation and anxiety and impair personal and work relationships.

The traditional view of face blindness--prosopagnosia in scientific parlance--has held that the disorder arises from deficits in visual perception. Under that view, individuals with face blindness are unable to visually distinguish the features of faces presented side by side and unable to determine whether the faces are the same or not.

Now a new study led by researchers at Harvard Medical School and the VA Boston Healthcare System shows that face blindness may arise from deficits beyond visual perception and appears to involve glitches in retrieving various contextual cues from memory.

The results, published July 5 ahead of print in the journal Cortex, suggest that the traditional view of face blindness as a purely visual perceptual disorder may be reductive, the researchers said. Further, they reveal that successful facial recognition requires recollection, or the recall of relevant contextual details about a person, such as their name or profession.

The new findings can help explain a mystifying discrepancy in face blindness research: People with the condition often fail to visually identify familiar faces, but many also perform normally on visual-perception tests.

"This inconsistency has always hinted that there may be other factors at play that go beyond visual perception," said study senior author Joseph DeGutis, HMS assistant professor of psychiatry at VA Boston. "Our findings suggest that one important deficit beyond perception is face recollection."

The ability to recognize a face requires two forms of memory: Recollection and familiarity. Recollection is the retrieval of contextual information upon seeing a face--a fellow shopper greeting you in the store and you recognizing them as the person you met through work a few weeks back. Familiarity, on the other hand, is a fuzzier "feeling of knowing" without any contextual information, the researchers explained. Think of the fellow shopper looking vaguely familiar but without any of the relevant details that tell you how you know them.

The findings can help inform the design of techniques to boost face recognition in people with developmental prosopagnosia--a form of face blindness that is not caused by brain injury, poor vision or neurodevelopmental disorders like autism.

"Our results underscore that prosopagnosia is a far more complex disorder that is driven by more than deficits in visual perception," said study first author Anna Stumps, a researcher in the Boston Attention Learning Laboratory at VA Boston. "This finding can help inform the design of new training approaches for people with face blindness."

The research team is currently working to design one such experimental program in the VA Boston laboratory where the work was conducted.

The study involved 6o people, ages 18 to 65, half of whom had lifelong face blindness.

The participants were asked to perform a series of facial-recognition tasks by studying and then identifying sets of faces that the participants had not seen prior to the study.

Participants were asked to study 60 faces shown on a computer screen, one at a time. The participants were then shown a scramble of 120 faces--some of them already seen during the study session and some completely new.

To tease out the differences in recognition memory between participants with and without face blindness, DeGutis and colleagues measured their degree of confidence in classifying each face as "old" or "new" on a scale of 1 to 6. Correctly identifying a face as old with high confidence reflects the use of recollection, the researchers said, whereas correctly identifying a face as old with less confidence reflects the use of familiarity.

Compared with participants who had face blindness, people without it were significantly more confident that they had seen these faces before. However, those with face blindness were still able to correctly identify many of the faces they had seen before, although with less confidence. In other words, when trying to recognize a face, participants with face blindness relied on familiarity, the vague sense of knowing or having seen someone before without specific contextual information. In contrast, individuals without face blindness relied on recollection.

Taken together, these findings suggest that people with face blindness use different memory processes for face recognition.

The results, the researchers said, demonstrate that successful face recognition requires more than a vague familiarity with a face--a sense of having seen a face before but without recalling any other details to "place" the face. Memory researchers call this inability to identify a familiar face out of context "butcher-on-the-bus" phenomenon. Though everyone experiences this from time to time, for people with true face blindness this can happen frequently, as often as multiple times a day.

"Our findings suggest that people with developmental prosopagnosia use a different memory system when trying to learn and remember faces and that system is less optimally suited for the task of recognizing faces," DeGutis said.

A groundbreaking study using molecular genetic techniques and field studies brings together decades of research into the complex relationships among beluga whales (Delphinapterus leucas) that spans 10 locations across the Arctic from Alaska to Canada and Russia to Norway. The behavior of these highly gregarious whales, which include sophisticated vocal repertoires, suggest that this marine mammal lives in complex societies. Like killer whales (Orcinus orca) and African elephants (Loxodonta Africana), belugas were thought to form social bonds around females that primarily comprise closely related individuals from the same maternal lineage. However, this hypothesis had not been formally tested.

The study, led by Florida Atlantic University's Harbor Branch Oceanographic Institute, is the first to analyze the relationship between group behaviors, group type, group dynamics, and kinship in beluga whales. Findings, just published in Scientific Reports, reveal several unexpected results. Not only do beluga whales regularly interact with close kin, including close maternal kin, they also frequently associate with more distantly related and unrelated individuals.

Findings indicate that evolutionary explanations for group living and cooperation in beluga whales must expand beyond strict inclusive fitness arguments to include other evolutionary mechanisms. Belugas likely form multi-scale societies from mother-calf dyads to entire communities. From these perspectives, beluga communities have similarities to human societies where social networks, support structures, cooperation and cultures involve interactions between kin and non-kin. Given their long lifespan (approximately 70 years) and tendency to remain within their natal community, these findings reveal that beluga whales may form long-term affiliations with unrelated as well as related individuals.

"This research will improve our understanding of why some species are social, how individuals learn from group members and how animal cultures emerge," said Greg O'Corry-Crowe, Ph.D., lead author and a research professor at FAU's Harbor Branch. "It also has implications for traditional explanations based on matrilineal care for a very rare life-history trait in nature, menopause, which has only been documented in a handful of mammals, including beluga whales and humans."

Researchers found that belugas formed a limited number of group types, from mother-calf dyads to adult male groups, and from mixed-age groups to large herds. These same group types were consistently observed across population and habitats. Furthermore, certain behaviors were associated with group type, and group membership was found to often be dynamic.

"Unlike killer and pilot whales, and like some human societies, beluga whales don't solely or even primarily interact and associate with close kin. Across a wide variety of habitats and among both migratory and resident populations, they form communities of individuals of all ages and both sexes that regularly number in the hundreds and possibly the thousands," said O'Corry-Crowe. "It may be that their highly developed vocal communication enables them to remain in regular acoustic contact with close relatives even when not associating together."

Beluga whale groupings (beyond mother-calf dyads) were not usually organized around close maternal relatives. The smaller social groups, as well as the larger herds, routinely comprised multiple matrilines. Even where group members shared the same mtDNA lineage, microsatellite analysis often revealed that they were not closely related, and many genealogical links among group members involved paternal rather than maternal relatives. These results differ from earlier predictions that belugas have a matrilineal social system of closely associating female relatives. They also differ from the association behavior of the larger toothed whales that informed those predictions. In 'resident' killer whales, for example, both males and females form groups with close maternal kin where they remain for their entire lives.

"Beluga whales exhibit a wide range of grouping patterns from small groups of two to 10 individuals to large herds of 2,000 or more, from apparently single sex and age-class pods to mixed-age and sex groupings, and from brief associations to multi-year affiliations," said O'Corry-Crowe. "This variation suggests a fission-fusion society where group composition and size are context-specific, but it may also reflect a more rigid multi-level society comprised of stable social units that regularly coalesce and separate. The role kinship plays in these groupings has been largely unknown."

For the study, researchers used field observations, mtDNA profiling, and multi-locus genotyping of beluga whales to address fundamental questions about beluga group structure, and patterns of kinship and behavior, which provide new insights into the evolution and ecology of social structure in this Arctic whale.

The study was conducted at 10 locations, in different habitats, across the species' range, spanning from small, resident groups (Yakutat Bay) and populations (Cook Inlet) in subarctic Alaska to larger, migratory populations in the Alaskan (Kasegaluk Lagoon, Kotzebue Sound, Norton Sound), Canadian (Cunningham Inlet, Mackenzie Delta, Husky Lakes) and Russian (Gulf of Anadyr) Arctic to a small, insular population in the Norwegian High Arctic (Svalbard).

"This new understanding of why individuals may form social groups, even with non-relatives, will hopefully promote new research on what constitutes species resilience and how species like the beluga whale can respond to emerging threats including climate change," said O'Corry-Crowe.

Medical University of South Carolina researchers report in Current Biology that the brain uses similar visual areas for mental imagery and vision, but it uses low-level visual areas less precisely with mental imagery than with vision.

These findings add knowledge to the field by refining methods to study mental imagery and vision. In the long-term, it could have applications for mental health disorders affecting mental imagery, such as post-traumatic stress disorder. One symptom of PTSD is intrusive visual reminders of a traumatic event. If the neural function behind these intrusive thoughts can be better understood, better treatments for PTSD could perhaps be developed.

The study was conducted by an MUSC research team led by Thomas P. Naselaris, Ph.D., associate professor in the Department of Neuroscience. The findings by the Naselaris team help answer an age-old question about the relationship between mental imagery and vision.

"We know mental imagery is in some ways very similar to vision, but it can't be exactly identical," explained Naselaris. "We wanted to know specifically in which ways it was different."

To explore this question, the researchers used a form of artificial intelligence known as machine learning and insights from machine vision, which uses computers to view and process images.

"There's this brain-like artificial system, a neural network, that synthesizes images," Naselaris explained. "It's like a biological network that synthesizes images."

The Naselaris team trained this network to see images and then took the next step of having the computer imagine images. Each part of the network is like a group of neurons in the brain. Each level of the network or neuron has a different function in vision and then mental imagery.

To test the idea that these networks are similar to the function of the brain, the researchers performed an MRI study to see which brain areas are activated with mental imagery or vision.

While inside the MRI, participants viewed images on a screen and were also asked to imagine images at different points on the screen. MRI imaging enabled researchers to define which parts of the brain were active or quiet while participants viewed a combination of animate and inanimate objects.

Once these brain areas were mapped, the researchers compared the results from the computer model to human brain function.

They discovered that both the computer and human brains functioned similarly. Areas of the brain from the retina of the eye to the primary visual cortex and beyond are both activated with vision and mental imagery. However, in mental imagery, the activation of the brain from the eye to the visual cortex is less precise, and in a sense, diffuse. This is similar to the neural network. With computer vision, low-level areas that represent the retina and visual cortex have precise activation. With mental imagery, this precise activation become diffuse. In brain areas beyond the visual cortex, the activation of the brain or the neural network is similar for both vision and mental imagery. The difference lies in what's happening in the brain from the retina to the visual cortex.

"When you're imagining, brain activity is less precise," said Naselaris. "It's less tuned to the details, which means that the kind of fuzziness and blurriness that you experience in your mental imagery has some basis in brain activity."

Naselaris hopes these findings and developments in computational neuroscience will lead to a better understanding of mental health issues.

The fuzzy dream-like state of imagery helps us to distinguish between our waking and dreaming moments. In people with PTSD, invasive images of traumatic events can become debilitating and feel like reality in the moment. By understanding how mental imagery works, scientists may better understand mental illnesses characterized by disruptions in mental imagery.

"When people have really invasive images of traumatic events, such as with PTSD, one way to think of it is mental imagery dysregulation," explained Naselaris. "There's some system in your brain that keeps you from generating really vivid images of traumatic things."

A better understanding of how this works in PTSD could provide insight into other mental health problems characterized by mental imagery disruptions, such as schizophrenia.

"That's very long term," Naselaris clarified.

For now, Naselaris is focusing on how mental imagery works, and more research needs to be done to address the connection to mental health.

A limitation of the study is the ability to recreate fully the mental images conjured by participants during the experiment. The development of methods for translating brain activity into viewable pictures of mental images is ongoing.

This study not only explored the neurological basis of seen and imagined imagery but also set the stage for research into improving artificial intelligence.

"The extent to which the brain differs from what the machine is doing gives you some important clues about how brains and machines differ," said Naselaris. "Ideally, they can point in a direction that could help make machine learning more brainlike."

RIVERSIDE, Calif. -- Whether you decided to engage in social distancing in the early stages of COVID-19 depended on how much information your working memory could hold.

This is the crucial finding of a research paper published in the Proceedings of the National Academy of Sciences coauthored by Weiwei Zhang, an associate professor of psychology at the University of California, Riverside. The study offers potential strategies to mitigate social distancing noncompliance in a public health crisis.

The researchers found individuals with higher working memory capacity have an increased awareness of benefits over costs of social distancing and, subsequently, show more compliance with recommended social distancing guidelines during the early stage of the COVID-19 outbreak.

Working memory is the psychological process of holding information in the mind for a brief period of time - typically, just seconds. The amount of information working memory can hold briefly -- its capacity -- is predictive of many mental abilities such as intelligence, comprehension, and learning.

"The higher the working memory capacity, the more likely that social distancing behaviors will follow," said Zhang, the paper's senior author. "Interestingly, this relationship holds even after we statistically control for relevant psychological and socioeconomic factors such as depressed and anxious moods, personality traits, education, intelligence, and income."

In the United States, where social distancing is mostly voluntary, widespread noncompliance persists, and was especially high during the early stages of the COVID-19 pandemic. According to Zhang, one reason for this is concerns about the inherent socioeconomic costs associated with social distancing. But what constitutes an individual's cognitive ability to come to a decision regarding compliance with social distancing guidelines remains largely unclear.

"Our findings reveal a novel cognitive root of social distancing compliance during the early stage of the COVID-19 pandemic," Zhang said. "We found social distancing compliance may rely on an effortful decision process of evaluating the costs versus benefits of these behaviors in working memory -- instead of, say, mere habit. This decisional process can be less effortful for people with larger working memory capacity, potentially leading to more social distancing behaviors."

The study included the participation of 850 U.S. residents from March 13 to March 25, 2020 -- the first two weeks following the U.S. presidential declaration of a national emergency about the COVID-19 pandemic.

Participants first filled out a demographic survey. Then they completed a set of questionnaires that captured individual differences in social distancing compliance, depressed mood, and anxious feelings. Personality variables, intelligence, and participants' understanding about the costs and benefits of social distancing practice were measured also.

"Individual differences in working memory capacity can predict social distancing compliance just as well as some social factors such as personality traits," Zhang said. "This suggests policy makers will need to consider individuals' general cognitive abilities when promoting compliance behaviors such as wearing a mask or engaging in physical distancing."

Zhang and his colleagues recommend media materials for promoting norm compliance behaviors to avoid information overload.

"The message in such materials should be succinct, concise, and brief," Zhang said. "Make the decision process easy for people."

The study's findings also suggest learning social distancing as a new norm requires an effortful decision process that relies on working memory.

"The bottom line is we should not rely on habitual behaviors since social distancing is not yet adequately established in U.S. society," Zhang said. "Before social distancing becomes a habit and a well-adopted social norm, the decision to follow social distancing and wearing masks would be mentally effortful. Consequently, we will have to deliberately make the effort to overcome our tendency to avoid effortful decisions, such as to not practice social distancing."

Zhang expects the contribution of working memory will decline as new social norms, such as wearing a mask or socially distancing, are acquired by society over time.

"Eventually social distancing and wearing face masks will become a habitual behavior and their relationship with working memory will diminish," he said.

Next, the team will analyze data it collected across the United States, China, and South Korea to identify protective social and mental factors that help people cope with the pandemic.

The researchers have also been collecting data assessing how working memory is related to racial discrimination during the pandemic.

Rape and sexual trauma may have long-lasting consequences for physical health as well as mental health, University of Otago researchers have found.

The team of researchers, led by respiratory specialist Professor Bob Hancox and sexual health specialist Dr Jane Morgan from Waikato DHB, found a history of rape is associated with "dysfunctional breathing" in both women and men, and with late-onset asthma diagnosis in women.

"Dysfunctional breathing", which is also known as Hyperventilation Syndrome, involves breathing too deeply or too rapidly. People can present with chest pain and a tingling sensation in the fingertips and around the mouth and it may accompany a panic attack.

While previous studies have found that a history of adverse events and psychological trauma, including sexual trauma, are associated with self-reported asthma, links with other respiratory problems have not been examined. Professor Hancox explains the team set out to assess whether the experience of being raped - an extreme form of psychological trauma - was associated with dysfunctional breathing among participants in the Dunedin Multidisciplinary Health and Development Study.

This world-renowned study is a longitudinal investigation of health and behaviour in a group of 1037 people born in Dunedin in 1972 or 1973 and followed regularly throughout their lives.

Nearly 20 per cent of women and 4 per cent of men in the study reported being raped at some stage throughout their life. Both men and women who had reported being raped were more likely to have dysfunctional breathing at 38 years of age.

Rape was also associated with self-reported diagnoses of asthma and symptoms of wheeze among women, but not men.

"If this is a true cause-and-effect association, these analyses indicate that 23 per cent of all asthma among women at 38 years of age, or nearly a third of adult-onset asthma could be attributed to rape."

While both rape and the outcome of dysfunctional breathing were less common among men, the association between rape and hyperventilation syndrome was equally strong - or even stronger - among men who reported rape.

The Otago researchers believe this is the first epidemiological study to investigate the possible origins of hyperventilation syndrome.

"The findings indicate that dysfunctional breathing may be a consequence of severe psychological trauma and are consistent with case reports of sexual abuse in patients with other patterns of breathing difficulty," Professor Hancox explains.

"Health professionals should recognise the possibility of prior traumatic experiences triggering either dysfunctional breathing or late-onset asthma and consider whether psychological counselling or other forms of therapy would help their patients," he says.

The researchers focused on rape because it is a particularly traumatic experience that can be clearly defined, but Professor Hancox says it is likely that other forms of sexual and non-sexual abuse may have similar effects.

"We need to investigate whether other forms of sexual, physical and psychological trauma are also associated with breathing pattern disorders."

The COVID-19 pandemic has resulted in an estimated global consumption loss of $3.8 trillion, as well as significant job and income loss. However, these socioeconomic effects are accompanied by notable estimated reductions in air pollution. Manfred Lenzen of the University of Sydney, Australia, and colleagues present these findings in the open-access journal PLOS ONE on July 9, 2020.

Beyond its health effects, the COVID-19 pandemic and associated lockdowns have resulted in major social and economic losses worldwide. While some regions, such as China and the U.S., have experienced greater direct economic effects than others, the entire world economy has been impacted through international trade links.

To help clarify the global socioeconomic impact of COVID-19, Lenzen and colleagues applied an economic modeling approach known as multi-region input-output (MRIO) analysis to data on losses experienced by global businesses as a direct consequence of the pandemic. The MRIO approach enabled the researchers to account for how losses in individual countries impact the entire global economy through international supply chains.

The analysis revealed that the pandemic has resulted in an estimated global consumption loss of $3.8 trillion, accompanied by job losses equivalent to 147 million full-time positions, as well as a loss of $2.1 trillion in wages and salaries.

As a silver lining, however, decreases in production and air travel have resulted in environmental benefits. The MRIO analysis estimates a 2.5 metric gigaton reduction in greenhouse gasses, as well as significant reductions for other air pollutants, including PM2.5, sulfur dioxide, and NOx gases.

The authors note that decisions made in response to the ongoing pandemic could shape the future of humanity. They outline a choice between returning to "business as usual," which could leave humanity vulnerable to additional crises, or altering the global economy with an eye towards sustainability and resiliency.

Co-author Arunima Malik summarizes: "Our study highlights the interconnected nature of international supply chains, with observable global spillover effects across a range of industry sectors, such as manufacturing, tourism and transport."

Oil spill disasters on land cause long-term damage for communities and the natural environment, polluting soils and sediments and contaminating groundwater.

Current methods using synthetic sorbent materials can be effective for cleaning up oil spills, but these materials are often expensive and generate large volumes of non-biodegradable plastic wastes. Now the first comparison of natural-origin sorbent materials for land-based oil spills, including peat moss, recycled human hair, and dog fur, shows that sustainable, cheaper and biodegradable options can be developed.

The University of Technology Sydney (UTS) project found that dog fur and human hair products - recycled from salon wastes and dog groomers - can be just as good as synthetic fabrics at cleaning up crude oil spills on hard land surfaces like highway roads, pavement, and sealed concrete floors. Polypropylene, a plastic, is a widely-used fabric used to clean up oil spills in aquatic environments.

"Dog fur in particular was surprisingly good at oil spill clean-up, and felted mats from human hair and fur were very easy to apply and remove from the spills." lead author of the study, UTS Environmental Scientist Dr Megan Murray, said. Dr Murray investigates environmentally-friendly solutions for contamination and leads The Phyto Lab research group at UTS School of Life Sciences.

"This is a very exciting finding for land managers who respond to spilled oil from trucks, storage tanks, or leaking oil pipelines. All of these land scenarios can be treated effectively with sustainable-origin sorbents," she said.

The sorbents tested included two commercially-available products, propylene and loose peat moss, as well as sustainable-origin prototypes including felted mats made of dog fur and human hair. Prototype oil-spill sorbent booms filled with dog fur and human hair were also tested. Crude oil was used to replicate an oil spill. The results of the study are published in Environments.

The research team simulated three types of land surfaces; non-porous hard surfaces, semi-porous surfaces, and sand, to recreate common oil-spill scenarios.

"We found that loose peat moss is not as effective at cleaning up oil spills on land compared to dog fur and hair products, and it is not useful at all for sandy environments." Dr Murray said.

"Based on this research, we recommend peat moss is no longer used for this purpose. Given that peat moss is a limited resource and harvesting it requires degrading wetland ecosystems, we think this is a very important finding." she said.

The research concluded that, for now, sandy environments like coastal beaches can still benefit from the use of polypropylene sorbents, but further exploration of sustainable-origin sorbents is planned.

The researchers say that future applications from the research include investigating felted mats of sustainable-origin sorbents for river bank stabilisation, as well as the removal of pollutants from flowing polluted waters, similar to existing membrane technology.

Advanced herbicides and treatments for infection may result from the unravelling of a 50-year-old mystery by University of Queensland researchers.

The research team, led by UQ's Professor Luke Guddat, revealed the complete three-dimensional structure of an enzyme, providing the first step in the biosynthesis of three essential amino acids - leucine, valine and isoleucine.

"This is a major scientific advance, which has been pursued globally by chemists for half a century," Professor Guddat said.

"This information provides new insights into an important enzyme - acetohydroxyacid synthase - a target for more than 50 commercial herbicides.

"It's also a potential target for new drugs to treat infections such as tuberculosis and invasive Candida infections."

Using advanced techniques such as cryo-electron microscopy and X-ray crystallography, the team deciphered the structure of the plant and fungal versions of the enzyme.

"We identified how this highly complex structure is assembled, which is the highly unusual shape of a Maltese Cross," Professor Guddat said.

"Coincidently, the Maltese Cross also features as a part of UQ's logo."

Professor Guddat said the discovery could have big implications for global agriculture.

"Sulfometuron is a herbicide that targets this enzyme, and was widely used in the 1990s for wheat crop protection throughout Australia," he said.

"But today it is completely ineffective due to the development of resistance.

"With this new insight, we will be able to make changes to existing herbicides, restoring options for future herbicide application."

Professor Guddat said the enzyme was only found in plants and microbes, not in humans.

"For this reason, the herbicides and drugs that it targets are likely to be safe and non-toxic to all mammals," he said.

"And another surprising finding of the research was the role that the molecule known as ATP plays in the regulation of the enzyme.

"Normally ATP plays a role in providing energy to all living cells," Professor Guddat said.

"However, here it is acting like a piece of glue to hold the structure together."

"They're fascinating findings for us, and we're excited for new opportunities for targeted design of next-gen herbicides and antimicrobial agents."

Spintronics is a thriving branch of nano-electronics which utilizes the spin of the electron and its associated magnetic moment in addition to the electron charge used in traditional electronics. The main current practical contributions of spintronics are in magnetic sensing and non-volatile magnetic data storage, and additional breakthroughs in developing magnetic based processing and novel types of magnetic memory are expected.

Spintronics devices commonly consist of magnetic elements manipulated by spin-polarized currents between stable magnetic states. When spintronic devices are used for storing data, the number of stable states sets an upper limit on memory capacity. While current commercial magnetic memory cells have two stable magnetic states corresponding to two memory states, there are clear advantages to increasing this number, as it will potentially allow increasing the memory density and enable the design of novel types of memory.

Now, a group of researchers led by Prof. Lior Klein, from the physics department and the Institute of Nanotechnology and Advanced Materials at Bar-Ilan University, has shown that relatively simple structures can support exponential number of magnetic states - much greater than previously thought. The studied structures are magnetic thin films patterned in the form of N crossing ellipses which have two to the power of 2N magnetization states. Furthermore, the researchers demonstrated switching between the states by generating spin currents. Their research appears as a featured article on the cover of a June issue of Applied Physics Letters.

The ability to stabilize and control exponential number of discrete magnetic states in a relatively simple structure constitutes a major contribution to spintronics. "This finding may pave the way to multi-level magnetic memory with extremely large number of states per cell (e.g., 256 states when N=4), be used for neuromorphic computing, and more," says Prof. Klein, whose research group includes Dr. Shubhankar Das, Ariel Zaig, and Dr. Moty Schultz.

After a traumatic brain injury, why do some people quickly regain their skills while others face long-lasting setbacks? Boston University neuroscientist Jerry Chen and his colleagues have been trying to answer this question by understanding which parts of the brain are used to process sensory information and remember different skills.

"From a biomedical standpoint, the question is whether certain parts of the brain are [solely responsible for] certain types of function," says Chen, a College of Arts & Sciences assistant professor of biology and faculty member of BU's Center for Systems Neuroscience. The latest research from his lab, published in Neuron, could eventually help us determine which abilities are particularly difficult to recover after a traumatic brain injury--likely because these skills are represented in only one area of the brain--and which are more resilient.

Chen's team created a memory game for mice in order to examine the function of two brain areas that process information about the sensation of touch and the memory of previous events--areas of the brain they called S1 and S2. Chen wanted to see whether S1 and S2 both processed the same information (distributed processing), or if the areas each had specialized, independent roles (localized processing).

Mice were presented with a memory game that gently stimulated their whiskers with a moving device. For the mice, the goal of the game was to recognize whisker movement patterns to receive a reward. First, each mouse felt the device move its whiskers either forward or backward. Then, after a two-second pause, the device moved their whiskers again. If their whiskers were moved in opposite directions during both rounds--for example, if the device moved the whiskers forward first, paused, and then moved the whiskers backward--the mice learned they could lick a straw to receive a thirst-quenching drink. On the other hand, if the device moved their whiskers in the same direction during both rounds, the mice were supposed to refrain from licking. If the mice got it wrong, they instead received a small puff of air and a timeout before they could resume the game.

Meanwhile, the researchers were observing the mice's brain activity throughout the game and seeing how the S1 and S2 areas impacted the mice's skills. They used a technique called optogenetics, a genetic engineering method that allowed them to selectively activate groups of brain cells in the S1 or S2 areas of the mice's brains using light.

The researchers found that the S1 and S2 areas of the mice's brains do a lot of the same processing, frequently sending information back and forth to each other. But they also observed that the two brain areas carried out some specialized roles while the mice played the memory game. S1 seems to be more involved in processing immediate sensory information, making sense of how the mice's whiskers move in real time. In contrast, S2 seems to be particularly involved in helping the mice recall past events, with the mice relying on this brain area to remember what happened in the first round of the game.

Chen says the findings suggest that S1 and S2 are wired differently, as the brain cells in S2 are more strongly connected with each other than the brain cells inside S1. Chen speculates that these stronger connections relate to S2's role in recalling the past. When brain cells are more connected, it may be easier for a cue to set off a chain of cells and trigger a memory--a "domino effect" of neural activity. Together, the localized and distributed processing roles of S1 and S2 both contributed to the mice being able to correctly play the game and earn a sugary snack.

Although humans don't have whiskers, the team's experimental observations could represent the same kind of sensory information processed by human hands.

"We have just as much sensitivity and dexterity to process tactile information with our fingers as a mouse has with its whiskers," Chen says. "So, if we were to study how we process tactile information in our hand and fingers, we might expect to see just as much distributed power as we would [in a mouse], because that's what we've evolved to use as one of our main senses."

Before these findings can help humans suffering from long-lasting loss of motor skills or other abilities after traumatic brain injury, Chen says there's still a lot of research to be done.

"One factor to keep in mind is that a mouse has a smaller brain [than a human], and some of these areas are much more intermingled, so the processing in a mouse brain might be more distributed," he says.

The volume of a human brain is so much greater than that of a mouse, Chen says, humans might have more regions that carry out localized processing. Or, the opposite could also be true, he says: "Because [we have] a larger brain, there are a lot more connections, so we might have just as much distributed power as a mouse--or more."

AMHERST, Mass. - In the molecular-level world of ion channels - passageways through membranes that carry signals in a cell's environment and allow it to respond - researchers have debated about the role of a small piece of the channel called a linker, says computational biophysicist Jianhan Chen at the University of Massachusetts Amherst.

The linker communicates between the pore and its environment-sensing apparatus, and knowing its function - whether it's inert or plays an active sensing role - has been unclear. But it might lead to a new target for drugs and treatment in conditions such as hypertension, autism, epilepsy, stroke and asthma, he adds. Now, Chen and colleagues at Washington University report in eLife that their experiments have revealed "the first direct example of how non-specific membrane interactions of a covalent linker can regulate the activation of a biological ion channel."

Specifically, Chen and co-first authors Mahdieh Yazdani and Zhiguang Jia at UMass Amherst, with co-first author Guohui Zhang, Jingyi Shi and Jianmin Cui at Washington University, studied a pore called the large-conductance potassium (BK) channel. It is important in muscle and neuron function and is controlled by calcium concentration via a calcium-sensing domain. It is also controlled by electrical potential through a voltage-sensing domain. Either way, it opens and closes like a gate - "a really common architecture in transmembrane receptors and channels," Chen says.

A single, tiny "C-linker" connects the BK calcium sensor and pore and until now was believed to be largely an inert connection. To study it, Chen says, "The traditional approach, if you suspect a specific position of the protein is important, is to mutate it and see what happens. You replace one amino acid with another. But with this method, you could end up perturbing many things; it's hard to tell what you've done."

Instead, the researchers scrambled the C-linker amino acid sequence many times. "If you do enough scrambles, you create so many different effects that you can average them. If the function isn't changed and all the repetitions look basically the same, nothing will stand out," Chen notes. "This will also give you a clean background so that next you can test some specific force or type of interaction that the linker might be involved in."

They discovered that scrambling the linker dramatically affected BK activation, supporting the notion that the linker is more than an inert connection, he adds. Surprisingly, computational analysis predicted that it was nonspecific linker-membrane interactions, not the sensor or pore, that led to different channel properties.

To test this new mode of channel regulation, Zhang at Washington University conducted "two really elegant experiments," Chen says. He built a shorter version of the channel without the calcium sensor but leaving its voltage-sensing function intact. "If our hypothesis is correct, in this construct the linker scramble would affect this truncated channel in a similar fashion as in the full-length channel. And if the linker does react without the calcium domain there, the linker is interacting with something else," he adds.

That proved to be the case. Further, they took one of the scrambling mutants and removed the "membrane-anchoring" segment that interacted with the membrane, he says. "We show that this single change completely reverses the linker scrambling effect. This one particular anchoring piece is responsible for the functional differences we observed."

Besides advancing knowledge, Chen explains, an important part of the discovery relates to the many other domain-to-domain linkers in membrane proteins. "Now we must really consider that the linker itself is part of the sensing apparatus, rather than just a connection. It's a new way to think about it. Our study is a really strong argument that the linker is a lot more important than some people thought."

He adds, "We don't discuss a direct application to disease, but this paper offers an important insight. We think it's going to spark others to do more. It could offer a new way to design drugs because now you can also think about also targeting the linker, not only the sensing domain or the pore itself. It gives you one more possibility."

(Boston)--The COVID-19 pandemic has prompted a rapid expansion of telehealth use in the U.S. While articles have been published on telehealth and best practices for patient-centered communication during the crisis, none have focused on applying principles of trauma-informed care until now.

COVID-19 is traumatizing for many and has a disproportionate impact on those who have prior trauma exposure and mental health conditions. Catastrophic events, such as natural disasters and pandemics, may serve as both newly traumatic and as potential triggers for survivors who have endured prior trauma. Social distancing serves to protect communities, but may amplify isolation and danger in abusive relationships or exacerbate underlying mental illness.

The Substance Abuse and Mental Health Services Administration (SAMHSA) has developed six principles of trauma-informed care: safety, trustworthiness and transparency, peer support, collaboration and mutuality, empowerment, voice and choice, and sensitivity to cultural, historical and gender issues. Researchers from Boston University School of Medicine (BUSM) describe ways in which these concepts can be used during telehealth encounters in primary care and other specialties to help mitigate the isolating, traumatic effects of COVID-19.

The researchers, experienced primary care and mental health clinicians at the Veteran's Health Administration, share their experience with telehealth and discuss the case for applying the principles of trauma-informed care to all telehealth encounters. Their article takes a practical, skills-based approach including a case study.

"Trauma-informed care is a global, "universal precautions" approach to providing quality care that can be applied to all aspects of healthcare and to all patients," explained corresponding author Megan R. Gerber, MD, MPH, medical director of women's health at VA Boston Healthcare System.

According to the researchers, trauma-informed virtual care during the COVID-19 pandemic has the potential to ensure and even expand continuity of medical care, offer connection and support to trauma survivors, and enhance patient and clinician resilience in this time of need. "Clinicians have a unique opportunity during this pandemic to apply trauma-informed care principles early on and to envision how telehealth may contribute to a more meaningful care experience for all and a more equitable future for those we care for," said Gerber, associate professor of medicine at BUSM.

The researchers believe it is critical for clinicians to be mindful that the public health approach to the pandemic may actually result in trauma and retraumatization for patients, which in turn can impact both access and response to care. "Because trauma may be unseen, unmeasured and unnamed, it is important to deliver all medical care with sensitivity to its potential presence. All clinicians have a unique opportunity in the setting of COVID-19 to apply a trauma-informed lens to our telehealth encounters which may promote connection, equity and healing-centered engagement in care."

Leesburg, VA, July 9, 2020--An open-access American Journal of Roentgenology (AJR) article investigating the differences in CT findings between coronavirus disease (COVID-19) pneumonia and influenza virus pneumonia found that most lesions from COVID-19 were located in the peripheral zone and close to the pleura, whereas influenza virus was more prone to show mucoid impaction and pleural effusion.

"However," lead author Liaoyi Lin of China's First Affiliated Hospital of Wenzhou Medical University cautioned, "differentiating between COVID-19 pneumonia and influenza virus pneumonia in clinical practice remains difficult."

A total of 97 patients (49 women, 48 men) were enrolled in this study. Of them, 52 patients (29 men, 23 women; age range, 21-73 years) had COVID-19 pneumonia; 45 patients (26 women, 19 men; age range, 15-76 years) had influenza virus pneumonia (28, influenza A; 17, influenza B). All patients had positive nucleic acid testing results for the respective viruses, as well as complete clinical data and CT images.

According to Lin and colleagues: "Between the group of patients with COVID-19 pneumonia and the group of patients with influenza virus pneumonia, the largest lesion close to the pleura (i.e., no pulmonary parenchyma between the lesion and the pleura), mucoid impaction, presence of pleural effusion, and axial distribution showed statistical difference (p

Meanwhile, Lin et al. noted that the properties of the largest lesion, presence of ground-glass opacities, consolidation, mosaic attenuation, bronchial wall thickening, centrilobular nodules, interlobular septal thickening, crazy paving pattern, air bronchogram, unilateral or bilateral distribution, and longitudinal distribution did not show significant differences (p > 0.05).

Additionally, the authors observed no significant difference (p > 0.05) in CT score, length of the largest lesion, mean density, volume, or mass of the lesions between the two groups.

Because the CT manifestations of COVID-19 and influenza virus so often overlap, "even with the characteristics evaluated using AI software," Lin et al. wrote, "no significant differences were detected."

Thus, the authors of this AJR article concluded that the more important role of CT during the present pandemic is in finding lesions and evaluating the effects of treatment.