Computer-based model could mitigate cattle fever tick outbreaks
Federal grant supports collaboration of Texas A&M AgriLife, state and federal agencies
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It’s possible that I shall make an ass of myself. But in that case one can always get out of it with a little dialectic. I have, of course, so worded my proposition as to be right either way (K.Marx, Letter to F.Engels on the Indian Mutiny)
Federal grant supports collaboration of Texas A&M AgriLife, state and federal agencies
Texas A&M AgriLife Communications
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University-led projects will share data, strengthen and build relationships between DOE and communities bearing the brunt of climate change
DOE/US Department of Energy
WASHINGTON, D.C. – To support vulnerable communities responding to continued and extreme climate effects, the Department of Energy (DOE) today announced $10 million in funding for innovative Climate Resilience Centers (CRCs) in 10 different states. University-led research teams will leverage the world class modeling, data and research capabilities from DOE national laboratories customized for their local regions with a focus on climate prediction of weather hazard risks to better prepare communities. The CRCs are part of the Biden-Harris Administration’s Justice40 Initiative and are designed to ensure that all Americans are benefitting from scientific research.
“Every pocket of the country has experienced the impact of extreme weather events that are exacerbated by climate change, and disadvantaged communities often feel the brunt of that impact,” said U.S. Secretary of Energy Jennifer M. Granholm. “The projects announced today will leverage the world class expertise and scientific research capacities of DOE’s national laboratories to develop the tools communities will need to inform future decisions for building resiliency.
Each of the CRCs are led by Minority Serving Institutions and Emerging Research Institutions. Most are also collaborations with DOE national labs, other federal agencies, academic institutions, state and municipal agencies, or community organizations.
Projects were selected by a peer-review panel, and selections focused on a diversity of topics, regions, and institutions across the country. These projects also build on prior awards to CRCs made in 2023.
The CRCs will help form a nucleus for a diverse group of young scientists, engineers, and technicians to further their scientific research and work on scientific teams. The CRCs will also foster capacity at the regional and local level by connecting with affected communities and stakeholders to enable them to translate basic research into actionable science to enhance climate resilience, as well as to identify potential future research opportunities.
Across the 10 selectees, research projects include ways to predict and protect communities from coastal flooding and extreme storms; analyzing the impacts of drought on Tribal and agricultural communities; and improving water quality.
Selected Project Descriptions:
The 10 projects were selected under the DOE Funding Opportunity Announcement for Climate Resilience Centers DE-FOA-0003181.
Total funding for all of the projects is $10 million for Fiscal Year 2024 dollars for projects lasting three years in duration. A list of all Biological and Environmental Research (BER) projects and funding, including Climate Resilience Centers, can be found at science.osti.gov/ber.
Selection for award negotiations is not a commitment by DOE to issue an award or provide funding. Before funding is issued, DOE and the applicants will undergo a negotiation process, and DOE may cancel negotiations and rescind the selection for any reason during that time.
New findings expand understanding about how electrons move in complex fluids in batteries and other similar devices
University of Delaware
Thomas Edison went through thousands of materials before he finally found the right tungsten filament to create a working lightbulb. This type of trial-and-error research continues today and is responsible for countless inventions that improve our world. Battery systems that help power our lives in many seen (and unseen) ways are one example.
However, improving these materials and devices requires more than experimentation. Modern engineers must also form a deeper understanding of the general principles that govern material performance, from which they can design better materials to achieve challenging product requirements.
In a paper published Aug. 13 in the Proceedings of the National Academy of Sciences (PNAS), University of Delaware, Northwestern University and industry researchers report expanded understanding on how electrons move through the conductive parts of complex fluids called slurries that are found in electrochemical devices such as batteries and other energy storage devices.
It’s important work that can help overcome existing knowledge gaps about how electrons hop between conductive particles found in these materials, as engineers seek new ways to improve that activity.
The paper is the result of collaborative research between UD’s Norman Wagner, Unidel Robert L. Pigford Chair in Chemical and Biomolecular Engineering, and researchers led by Jeffrey Richards, assistant professor of chemical and biological engineering at Northwestern University, and a former UD postdoctoral researcher. Lead authors on the paper include UD alumna Julie Hipp, who earned her doctoral degree in chemical and biomolecular engineering in 2020 and now is a senior scientist at Procter and Gamble, and Paolo Ramos, a former NU graduate student now at L’Oreal. NU doctoral candidate Qingsong Liu also contributed to this work.
According to Wagner, by combining carefully designed and conducted experiments with state-of-the-art theory and simulation, the research team found that enhancing performance requires more than formulation chemistry. It also requires understanding how the electrical conductivity behaves as the slurry materials are processed and manufactured.
“To control the device performance, it's not enough just to control the chemistry, we have to control the microstructure, too,” said Wagner. This is because the material’s final microstructure — meaning how all the components come together — regulates how the electrons can move, impacting the device’s power and efficiency.
Performance depends on the details
Though many electrochemical devices exist, let’s stay with the battery example for a moment to break things down.
Batteries supply electricity when electrons move through a solution or “slurry” made of conductive materials and solvents via a chemical reaction. How well the battery system works depends on the materials, which includes both the chemistry and the manufacturing processes used in its creation.
Think of it like multiple racecars going around a racetrack. All the racecars have steering wheels, tires and engines, but the structure of each vehicle and how it’s assembled may differ from car to car. So, just because a car with an engine and a steering wheel is on the track doesn’t mean it gets the same performance as the other vehicles. The same is true for the critical components in batteries. The details matter in how you put them together.
Conductive versions of carbon black (or soot) are commonly used in batteries as well as a vast number of electrochemical devices. They are nano-sized crystals of carbon made in such a way that they stick together and form aggregates, or clusters, that can be mixed with various liquids to form a slurry. This slurry is then used to cast, or make, parts of a battery or other devices.
“In that mixture, electrons can move very fast within the carbon black, which is highly conductive like an electrical wire. But the electrons have to hop from one cluster of carbon-black particles to another because the carbon black is suspended in the slurry — the aggregate particles are not connected as a solid structure,” explained Wagner.
The researchers had previously shown that the way the carbon black material flows — its rheology—plays a key role in the material’s performance, using neutron-scattering techniques at the National Institute of Standards and Technology’s Center for Neutron Research in Gaithersburg, Maryland, through UD’s Center for Neutron Science. In this new study, the research team extended that work to create a universal roadmap for understanding how the conductivity of the flowing slurry depends upon the chemistry of the components from which it is comprised and — importantly — how the slurry is processed.
Together, these pieces form a blueprint for how to process energy storage devices during manufacturing. The promise in this kind of roadmap is an enhanced ability to systematically design materials and predict the behavior for electrochemical devices on the front end.
“What we've studied allows us to begin to understand how the structure of this carbon-black slurry, this aggregated suspension, impacts the efficiency and performance of these devices,” said Wagner. “We're not solving anyone's specific battery problem. The hope is that others in practice can apply our foundational work to their own electrochemical systems and problems.”
The researchers expect this work will have an impact on the formulation and processing windows for emerging electrochemical energy storage methods and water deionization technologies.
Wagner gave the example of electrolyzer devices that use electricity to split water into its component parts of hydrogen and oxygen. One of the most challenging parts of this process is mixing and controlling the properties of the material solutions that enable the electrolyzer to do its work and free up hydrogen molecules so they can be used for other purposes, say, as an energy resource. According to Wagner, future improvements in such devices will depend on processing.
“You can get the chemistry right, but if you don't process it right, you don't end up with the performance that you want,” Wagner said.
Proceedings of the National Academy of Sciences
Quantifying electron transport in aggregated colloidal suspensions in the strong flow regime
13-Aug-2024
Detailed blueprint of nerve cells’ dramatic changes could help identify ways to heal spinal cord damage
Washington University School of Medicine
Zebrafish are members of a rarefied group of vertebrates capable of fully healing a severed spinal cord. A clear understanding of how this regeneration takes place could provide clues toward strategies for healing spinal cord injuries in people. Such injuries can be devastating, causing permanent loss of sensation and movement.
A new study from Washington University School of Medicine in St. Louis maps out a detailed atlas of all the cells involved — and how they work together — in regenerating the zebrafish spinal cord. In an unexpected finding, the researchers showed that survival and adaptability of the severed neurons themselves is required for full spinal cord regeneration. Surprisingly, the study showed that stem cells capable of forming new neurons — and typically thought of as central to regeneration — play a complementary role but don’t lead the process.
The study is published Thursday, Aug. 15, in the journal Nature Communications.
Unlike humans’ and other mammals’ spinal cord injuries, in which damaged neurons always die, the damaged neurons of zebrafish dramatically alter their cellular functions in response to injury, first to survive and then to take on new and central roles in orchestrating the precise events that govern healing, the researchers found. Scientists knew that zebrafish neurons survive spinal cord injury, and this new study reveals how they do it.
“We found that most, if not all, aspects of neural repair that we’re trying to achieve in people occur naturally in zebrafish,” said senior author Mayssa Mokalled, PhD, an associate professor of developmental biology. “The surprising observation we made is that there are strong neuronal protection and repair mechanisms happening right after injury. We think these protective mechanisms allow neurons to survive the injury and then adopt a kind of spontaneous plasticity — or flexibility in their functions — that gives the fish time to regenerate new neurons to achieve full recovery. Our study has identified genetic targets that will help us promote this type of plasticity in the cells of people and other mammals.”
By mapping out the evolving roles of various cell types involved in regeneration, Mokalled and her colleagues found that the flexibility of the surviving injured neurons and their capacity to immediately reprogram after injury lead the chain of events that are required for spinal cord regeneration. If these injury-surviving neurons are disabled, zebrafish do not regain their normal swim capacity, even though regenerative stem cells remain present.
When the long wiring of the spinal cord is crushed or severed in people and other mammals, it sets off a chain of toxicity events that kills the neurons and makes the spinal cord environment hostile against repair mechanisms. This neuronal toxicity could provide some explanation for the failure of attempts to harness stem cells to treat spinal cord injuries in people. Rather than focus on regeneration with stem cells, the new study suggests that any successful method to heal spinal cord injuries in people must start with saving the injured neurons from death.
“Neurons by themselves, without connections to other cells, do not survive,” Mokalled said. “In zebrafish, we think severed neurons can overcome the stress of injury because their flexibility helps them establish new local connections immediately after injury. Our research suggests this is a temporary mechanism that buys time, protecting neurons from death and allowing the system to preserve neuronal circuitry while building and regenerating the main spinal cord.”
There is some evidence that this capacity is present but dormant in mammalian neurons, so this may be a route to new therapies, according to the researchers.
“We are hopeful that identifying the genes that orchestrate this protective process in zebrafish — versions of which also are present in the human genome — will help us find ways to protect neurons in people from the waves of cell death that we see following spinal cord injuries,” she said.
While this study is focused on neurons, Mokalled said spinal cord regeneration is extremely complex, and future work for her team will delve into a new cell atlas to understand the contributions of other cell types to spinal cord regeneration, including non-neuronal cells, called glia, in the central nervous system as well as cells of the immune system and vasculature. They also have ongoing studies comparing the findings in zebrafish to what is happening in mammalian cells, including mouse and human nerve tissue.
Saraswathy VM, Zhou L, Mokalled MH. Single-cell analysis of innate spinal cord regeneration identifies intersecting modes of neuronal repair. Nature Communications. Aug. 15, 2024.
Nature Communications
Experimental study
Animals
Zebrafish use surprising strategy to regrow spinal cord
15-Aug-2024
This work was supported by the National Institutes of Health (NIH), grant number R01NS113915; and a Postdoctoral Fellow Seed of Independence Grant from the Department of Developmental Biology at Washington University School of Medicine.
New research from Drexel University’s Policy and Analytics Center in the A.J. Drexel Autism Institute examined perinatal and postpartum outcomes among people with intellectual and developmental disabilities.
Drexel University
American women have the highest rate of maternal deaths among high-income countries, with outcomes worse for minoritized groups. In an effort to understand the maternal health of pregnant people with intellectual and developmental disabilities, including autism and intellectual disability, researchers from Drexel University’s Policy and Analytics Center in the A.J. Drexel Autism Institute examined Medicaid data to identify perinatal and postpartum outcomes among people with intellectual and developmental disabilities. The study was recently published in JAMA Network Open.
“While previous studies have reported an increased risk for challenges related to pregnancy and birth among people with intellectual and developmental disabilities, little research has been done using United States-based population-level data,” said Lindsay Shea, DrPH, director of the Policy and Analytics Center in the A.J. Drexel Autism Institute and lead author of the study. “Medicaid is a key system to study these risks and opportunities for policy and program improvements because it covers almost half of births in the U.S. and a disproportionate share of people with intellectual and developmental disabilities.”
The data showed people with intellectual and developmental disabilities were younger at the time of their first delivery and had higher risks for multiple medical and mental health conditions, including gestational diabetes, gestational hypertension and preeclampsia. Autistic pregnant people had significantly higher probability of postpartum anxiety and postpartum depression, compared to people with intellectual disabilities only and people without intellectual and developmental disabilities.
Researchers examined national Medicaid claims to compare perinatal and postpartum outcomes across groups of birthing people with intellectual and developmental disabilities (including intellectual disability and autism) and a random sample of birthing people without intellectual and developmental disabilities. The data included Medicaid claims from 2008-2019 for 55,440 birthing people with intellectual and developmental disabilities and a random sample of 438,557 birthing people without intellectual and developmental disabilities.
Perinatal outcomes, including medical conditions such as gestational diabetes, gestational hypertension, and preeclampsia, and mental health conditions, such as anxiety disorders and depressive disorders, were compared across the groups. Researchers estimated the probability of postpartum anxiety and postpartum depression using Kaplan-Meier and Cox proportional hazard regressions.
Co-author Molly Sadowsky, project director in the Policy and Analytics Center in the Autism Institute, explained how the findings suggest several opportunities for policymakers, providers and researchers. Reproductive health education, perinatal care and delivery services should be tailored to ensure comprehensive and targeted support for birthing people with intellectual and developmental disabilities. Policies should be designed and implemented to align with and be guided by the needs of people with intellectual and developmental disabilities to reduce maternal health disparities. Current clinical guidelines and procedures should be adapted to the specific needs and experiences of people with intellectual and developmental disabilities. And new Medicaid policies – like the postpartum coverage extension and doula service reimbursement – should be evaluated for impact on health outcomes of people with intellectual and developmental disabilities.
“Findings from this study underscore an urgent need for attention on Medicaid in supporting birthing people with intellectual and developmental disabilities throughout the perinatal period,” said Sadowsky. “It’s vital that differences in access to and coordination of postpartum care, as well as related differences in risk for postpartum depression and anxiety, continue to be examined.”
Shea and Sadowsky explained where this work will continue.
“We’ll advance this work in our next project by examining the impact of attitudinal and structural ableism on perinatal health and mental health outcomes, as well as neonatal and postnatal outcomes, morbidity, and mortality among children of women with and without intellectual and developmental disabilities,” said Shea.
Shea and her research team were recently awarded a five year $3 million National Institutes of Health Research Project Grant (R01) to further explore this area.
The future study will conduct a detailed examination of the impact of ableism on women with intellectual and developmental disabilities during pregnancy and the postpartum period, and will compare outcomes experienced by this group and their infants to those of peers without intellectual and developmental disabilities.
“Parenthood and reproductive health are important times in everyone’s life to be supported in getting the services and supports that work for each person and for each family,” said Shea. “We are excited about the future of our work on this topic to find ways that the health care system can do better and we can support people and celebrate their birthing experiences and roles in these tumultuous times in life.”
For more information on NIH RePORTER, click here.
JAMA Network Open
Perinatal and Postpartum Health Among People With Intellectual and Developmental Disabilities
15-Aug-2024
Recordings from thousands of neurons reveal how a person’s brain abstractly represents acts of reasoning
Columbia University
NEW YORK, NY — It takes brains to infer how any two things in the world relate to each other, whether it's the way bad weather links to commuting delays or how environmental conditions lead to the evolution of species. A new study based on recordings in the brains of people has yielded a pathbreaking trove of data that researchers now have used to reveal, with more clarity than ever, the neural incarnations of inferential reasoning.
”We are beginning to understand how the brain learns and how we extract knowledge from what we experience,” said Ueli Rutishauser, PhD, a co-corresponding author on the study and a professor of neuroscience, neurosurgery and biomedical science at Cedars-Sinai Medical Center.
The study, conducted as part of a multi-institutional consortium funded by the National Institutes of Health’s Brain Research Through Advancing Innovative Neurotechnologies ® Initiative, or The BRAIN Initiative ®, was published online today in Nature.
Using electrical recordings from more than 3,000 neurons in 17 volunteers with epilepsy who were undergoing invasive monitoring in the hospital to locate the sources of their seizures, the researchers accrued a “uniquely revealing dataset that is letting us for the first time monitor how the brain’s cells represent a learning process critical for inferential reasoning,” said Stefano Fusi, PhD, a principal investigator at Columbia’s Zuckerman Mind Brain Behavior Institute and the paper’s other co-corresponding author.
As the researchers recorded from the neurons, the scientists challenged the participants with a simple inferential reasoning task. In this task, subjects discovered by trial-and-error the correct, money-rewarded associations between images, like pictures of a car or a piece of fruit, and a left or right button press. Once the participants learned these associations for a set of images, the researchers pivoted and then switched which button was the correct association for each image.
Initially, volunteers made incorrect choices, as they did not realize that the previously learned associations had changed. However, these errors enabled the volunteers to quickly infer that a new image-button rule had become operative and they could further infer that all of the new image-button rules had switched, even those they had yet to experience. The scientists liken this experimental task to real-life inferences, such as those overseas travelers often need to make.
“If you live both in New York and in London, and you fly to the UK, you know that you have to look right when you want to cross a road. You’ve switched to a different mental state that represents the traffic rule you have learned by living in London,” said Dr. Fusi, also a professor of neuroscience at Columbia’s Vagelos College of Physicians and Surgeons and a member of Columbia’s Center for Theoretical Neuroscience.
“Even if you visit places you have never been to in the UK, like the countryside in Wales, you infer that the new rules still apply there,” he added. “You still have to look right instead of left when crossing a road.”
“This work elucidates a neural basis for conceptual knowledge, which is essential for reasoning, making inferences, planning and even regulating emotions,” said Daniel Salzman, MD, PhD, a coauthor of the Nature paper, a principal investigator at the Zuckerman Institute, and a professor of psychiatry and neuroscience at Columbia's Vagelos College of Physicians and Surgeons.
But how are these kinds of thinking physically expressed in the activity of neurons? Using mathematical tools that Dr. Fusi honed to integrate recordings from thousands of neurons, the researchers recast the volunteers’ brain activity into geometric representations – into shapes, that is – albeit ones occupying thousands of dimensions instead of the familiar three dimensions that we routinely visualize.
“These are high-dimensional geometrical shapes that we cannot imagine or visualize on a computer monitor,” said Dr. Fusi. “But we can use mathematical techniques to visualize much simplified renditions of them in 3D.”
When the researchers compared shapes of brain activity between instances when the subjects made successful inferences with those when their inferences were unsuccessful, stark differences emerged.
“In certain neuronal populations during learning, we saw transitions from disordered representations to these beautiful geometric structures that were correlated with the ability to reason inferentially,” said Dr. Fusi.
What’s more, the researchers observed these structures only in recordings from the hippocampus and not in the other brain regions the scientists monitored, such as the amygdala and frontal lobe cortical areas. It’s a surprising finding, the researchers said, because the hippocampus has long been viewed as the brain’s locus for embodying neural maps of physical spaces. The new findings show that it also can construct cognitive maps linked to brain functions like making inferences and learning.
Another head-turning result of the research, Dr. Rutishauser said, is that volunteers who learn the associative rules between images and buttons only via verbal instruction, and not by virtue of trial-and-error experience, nonetheless forge the same “beautifully structured neural representations in the hippocampus.” This is an important observation, he said, because while human beings often learn from each other through verbal exchanges, very little is known about how verbal information changes neural representations.
“Verbal instruction is how we build knowledge about things that we have never actually experienced,” added Dr. Rutishauser. “Our work now shows that verbal instructions result in very similar structured neural representations compared to those that result from experiential learning.”
The researchers emphasize that none of these discoveries would have been possible without the collaboration and voluntary participation of patients who suffer from drug-resistant epilepsy and who were in the hospital following surgery. The electrodes for collecting the neural data were temporarily implanted by the patients' doctors for the sole purpose of locating the source of each person’s seizures, with the ultimate goal of using that information for further surgical or neuromodulation-based treatment.
“These individuals gave us the precious opportunity to learn something new about how all of our brains work,” Dr. Rutishauser said.
Collaborator Dr. Taufik Valiante at the Krembil Research Institute and Division of Neurosurgery at the University of Toronto contributed to this study by enrolling patients. Graduate student Hristos Courellis and postdoctoral researcher Juri Minxha, PhD, at Cedar-Sinai Medical Center and the California Institute of Technology, performed much of the study’s data collection and analysis.
“This study provides new insights into how our brains allow us to learn and carry out tasks flexibly and in response to changing conditions and experiences,” said Dr. Merav Sabri, program director for The BRAIN Initiative. “These insights build on the body of knowledge that could one day lead us toward interventions for neurologic and psychiatric conditions that involve deficits in memory and decision-making.”
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The paper, “Abstract representations emerge in human hippocampal neurons during inference behavior,” was published online in Nature on August 14, 2024.
The full list of authors includes Hristos S. Courellis, Juri Minxha, Araceli R. Cardenas, Daniel L. Kimmel, Chrystal M. Reed, Taufik A. Valiante, C. Daniel Salzman, Adam N. Mamelak, Stefano Fusi and Ueli Rutishauser.
The authors declare no competing interests.
Nature
Experimental study
People
Abstract representations emerge in human hippocampal neurons during inference
14-Aug-2024