Friday, May 12, 2023

Researchers at Purdue discover superconductive images are actually 3D and disorder-driven fractals

Peer-Reviewed Publication

PURDUE UNIVERSITY

Meeting the world’s energy demands is reaching a critical point. Powering the technological age has caused issues globally. It is increasingly important to create superconductors that can operate at ambient pressure and temperature. This would go a long way toward solving the energy crisis. 

Advancements with superconductivity hinge on advances in quantum materials.  When electrons inside of quantum materials undergo a phase transition, the electrons can form intricate patterns, such as fractals. A fractal is a never-ending pattern. When zooming in on a fractal, the image looks the same. Commonly seen fractals can be a tree or frost on a windowpane in winter. Fractals can form in two dimensions, like the frost on a window, or in three-dimensional space like the limbs of a tree. 

Dr. Erica Carlson, a 150th Anniversary Professor of Physics and Astronomy at Purdue University, led a team that developed theoretical techniques for characterizing the fractal shapes that these electrons make, in order to uncover the underlying physics driving the patterns. 

Carlson, a theoretical physicist, has evaluated high resolution images of the locations of electrons in the superconductor Bi2-xPbzSr2-yLayCuO6+x (BSCO), and determined that these images are indeed fractal and discovered that they extend into the full three-dimensional space occupied by the material, like a tree filling space.

What was once thought of as random dispersions within the fractal images are purposeful and, shockingly, not due to an underlying quantum phase transition as expected, but due to a disorder-driven phase transition.

Carlson led a collaborative team of researchers across multiple institutions and published their findings, titled "Critical nematic correlations throughout the superconducting doping range in Bi2-xPbzSr2-yLayCuO6+x," in Nature Communications.

The team includes Purdue scientists and partner institutions. From Purdue, the team includes Carlson, Dr. Forrest Simmons, recent PhD student, and former PhD students Dr. Shuo Liu and Dr. Benjamin Phillabaum. The Purdue team completed their work within the Purdue Quantum Science and Engineering Institute (PQSEI). The team from partner institutions includes Dr. Jennifer Hoffman, Dr. Can-Li Song, Dr. Elizabeth Main of Harvard University, Dr. Karin Dahmen of the University of Urbana-Champaign, and Dr. Eric Hudson of Pennsylvania State University.

“The observation of fractal patterns of orientational (‘nematic’) domains – cleverly extracted by Carlson and collaborators from STM images of the surfaces of crystals of a cuprate high temperature superconductor – is interesting and aesthetically appealing on its own, but also of considerable fundamental importance in coming to grips with the essential physics of these materials,” says Dr. Steven Kivelson, the Prabhu Goel Family Professor at Stanford University and a theoretical physicist specializing in novel electronic states in quantum materials. “Some form of nematic order, typically thought to be an avatar of a more primitive charge-density-wave order, has been conjectured to play an important role in the theory of the cuprates, but the evidence in favor of this proposition has previously been ambiguous at best. Two important inferences follow from Carlson et al.’s analysis:  1) The fact that the nematic domains appear fractal implies that the correlation length – the distance over which the nematic order maintains coherence – is larger than the field of view of the experiment, which means that it is very large compared to other microscopic scales.  2)  The fact that patterns that characterize the order are the same as those obtained from studies of the three dimensional random-field Ising model – one of the paradigrmatic models of classical statistical mechanics – suggests that the extent of the nematic order is determined by extrinsic quantities and that intrinsically (i.e. in the absence of crystalline imperfections) it would exhibit still longer range correlations not just along the surface, but extending deep into the bulk of the crystal.”

High resolution images of these fractals are painstakingly taken in Hoffman’s lab at Harvard University and Hudson’s lab, now at Penn State, using scanning tunneling microscopes (STM) to measure electrons at the surface of the BSCO, a cuprate superconductor. The microscope scans atom by atom across the top surface of the BSCO, and what they found was stripe orientations that went in two different directions instead of the same direction. The result, seen above in red and blue, is a jagged image that forms interesting patterns of electronic stripe orientations.

“The electronic patterns are complex, with holes inside of holes, and edges that resemble ornate filigree,” explains Carlson. “Using techniques from fractal mathematics, we characterize these shapes using fractal numbers. In addition, we use statistics methods from phase transitions to characterize things like how many clusters are of a certain size, and how likely the sites are to be in the same cluster.” 

Once the Carlson group analyzed these patterns, they found a surprising result. These patterns do not form only on the surface like flat layer fractal behavior, but they fill space in three dimensions. Simulations for this discovery were carried out at Purdue University using Purdue’s supercomputers at Rosen Center for Advanced Computing. Samples at five different doping levels were measured by Harvard and Penn State, and the result was similar among all five samples.

The unique collaboration between Illinois (Dahmen) and Purdue (Carlson) brought cluster techniques from disordered statistical mechanics into the field of quantum materials like superconductors.  Carlson’s group adapted the technique to apply to quantum materials, extending the theory of second order phase transitions to electronic fractals in quantum materials.  

“This brings us one step closer to understanding how cuprate superconductors work,” explains Carlson. “Members of this family of superconductors are currently the highest temperature superconductors that happen at ambient pressure.  If we could get superconductors that work at ambient pressure and temperature, we could go a long way toward solving the energy crisis because the wires we currently use to run electronics are metals rather than superconductors. Unlike metals, superconductors carry current perfectly with no loss of energy. On the other hand, all the wires we use in outdoor power lines use metals, which lose energy the whole time they are carrying current. Superconductors are also of interest because they can be used to generate very high magnetic fields, and for magnetic levitation. They are currently used (with massive cooling devices!) in MRIs in hospitals and levitating trains.”

Next steps for the Carlson group are to apply the Carlson-Dahmen cluster techniques to other quantum materials.

“Using these cluster techniques, we have also identified electronic fractals in other quantum materials, including vanadium dioxide (VO2) and neodymium nickelates (NdNiO3). We suspect that this behavior might actually be quite ubiquitous in quantum materials,” says Carlson.

This type of discovery leads quantum scientists closer to solving the riddles of superconductivity.

“The general field of quantum materials aims to bring to the forefront the quantum properties of materials, to a place where we can control them and use them for technology,” Carlson explains. “Each time a new type of quantum material is discovered or created, we gain new capabilities, as dramatic as painters discovering a new color to paint with."

Funding for the work at Purdue University for this research includes the National Science Foundation, the Bilsland Dissertation Fellowship (for Dr. Liu), and Research Corporation for Science Advancement.

 

About the Department of Physics and Astronomy at Purdue University

Purdue Department of Physics and Astronomy has a rich and long history dating back to 1904. Our faculty and students are exploring nature at all length scales, from the subatomic to the macroscopic and everything in between. With an excellent and diverse community of faculty, postdocs, and students who are pushing new scientific frontiers, we offer a dynamic learning environment, an inclusive research community, and an engaging network of scholars.  

Physics and Astronomy is one of the seven departments within the Purdue University College of Science. World-class research is performed in astrophysics, atomic and molecular optics, accelerator mass spectrometry, biophysics, condensed matter physics, quantum information science, particle and nuclear physics. Our state-of-the-art facilities are in the Physics Building, but our researchers also engage in interdisciplinary work at Discovery Park District at Purdue, particularly the Birck Nanotechnology Center and the Bindley Bioscience Center.  We also participate in global research including at the Large Hadron Collider at CERN, Argonne National Laboratory, Brookhaven National Laboratory, Fermilab, the Stanford Linear Accelerator, the James Webb Space Telescope, and several observatories around the world. 

 

About the Purdue Quantum Science and Engineering Institute (PQSEI)

Located in Discovery Park District, PQSEI fosters the development of practical and impactful aspects of quantum science and focuses on discovering and studying new materials, devices, and basic physical quantum systems that will be suited for integration into tomorrow’s technology. It encourages interdisciplinary collaboration leading to the design and realization of quantum devices with enhanced functionality and performance close to the fundamental limit, aiming to ultimately bring them to a vast community of users. PQSEI faculty work on a broad range of topics in quantum science and engineering including quantum materials and devices, quantum photonics, atomic molecular and optical physics, quantum chemistry, quantum measurement and control, quantum simulation, and quantum information and computing. Finally, PQSEI works to train the next generation of quantum scientists and engineers in order to meet the growing quantum workforce demands.

About Purdue University

Purdue University is a top public research institution developing practical solutions to today’s toughest challenges. Ranked in each of the last five years as one of the 10 Most Innovative universities in the United States by U.S. News & World Report, Purdue delivers world-changing research and out-of-this-world discovery. Committed to hands-on and online, real-world learning, Purdue offers a transformative education to all. Committed to affordability and accessibility, Purdue has frozen tuition and most fees at 2012-13 levels, enabling more students than ever to graduate debt-free. See how Purdue never stops in the persistent pursuit of the next giant leap at https://stories.purdue.edu.

 

Written by Cheryl Pierce, Communications Specialist

Contributors: Erica Carlson, 150th Anniversary Professor of Physics and Astronomy at Purdue University and Steven Kivelson, the Prabhu Goel Family Professor at Stanford University

Citation: "Critical nematic correlations throughout the superconducting doping range in Bi2−zPbzSr2−yLayCuO6+x
by Can-Li Song, Elizabeth J. Main, Forrest Simmons, Shuo Liu, Benjamin Phillabaum, Karin A. Dahmen, Eric W. Hudson, Jennifer E. Hoffman & Erica W. Carlson, Nature Communications 14, 2622 (2023)

‘Nature is messy': Pioneers in landscape transcriptomics study genes in the wild

Peer-Reviewed Publication

PENN STATE

entomologists studying bees 

IMAGE: IN THE COLLEGE OF AGRICULTURAL SCIENCES A NUMBER OF FACULTY, SUCH AS THE ENTOMOLOGISTS STUDYING BEES, ARE USING TRANSCRIPTOMICS IN THEIR RESEARCH ALREADY, AND THEY ARE DEEPLY INTERESTED IN THE CONSERVATION AND NATURAL RESOURCE MANAGEMENT APPLICATIONS. view more 

CREDIT: HEATHER HINES

UNIVERSITY PARK, Pa. — An interdisciplinary team in Penn State’s College of Agricultural Sciences — in an initiative aimed at better understanding the implications of climate change for animal and plant life and agricultural systems — is focusing on an emerging field of study called landscape transcriptomics.

In an invited technical review paper recently published in Molecular Ecology Resources, team leader Jason Keagy, assistant research professor of wildlife behavioral ecology, explained that landscape transcriptomics studies how patterns of gene expression in living organisms relate to changes in environment — including habitat, weather, climate and contaminants — as well as the subsequent effects on the function of plants and animals.

He explained that a transcriptome is the total of all the RNA molecules expressed from the genes of an organism, essentially a collection of all the gene readouts present in a cell. By looking at finer scale gene expression differences over larger scale environments, trends emerge that offer new insight into how life on Earth is adapting to change, he said.

We sat down with Keagy to learn more about the new, complex field.

Q: What is landscape transcriptomics?

Keagy: Transcriptomics is the study of all the RNA molecules in a given tissue at a certain point in time. Why do we care about RNA? DNA is basically a memory-storage device. For a gene to actually do anything, the letters of DNA must be rewritten as letters of RNA and then translated into a protein.

We can literally read the RNA letters to find out which genes are active and how active they are. We can then ask: How is the active part of the DNA code affected by an environmental stressor? That’s where the landscape part comes in. Typically, we would do experiments to answer this question. But some things just can’t be studied well in the lab. Nature is messy and understanding that messiness is important.

So, what if we instead grabbed samples from across the landscape and asked how some variable — temperature, altitude, shade — influenced gene expression, the transcriptome? That, in a nutshell, is landscape transcriptomics.

Q: What can researchers accomplish using landscape transcriptomics?

Keagy: In the paper we just published, we outline three major areas of research that we envision landscape transcriptomics will address: understanding molecular pathways involved in response to the environment, generating and testing hypotheses about the mechanisms and evolution of these responses to the environment, and applying this knowledge to species conservation and management.

The first two are important from the point of view of understanding how organisms respond to the environment, whereas the third is important from a more practical point of view.

Q: What are practical applications of this approach?

Keagy: We envision a number of ways landscape transcriptomics can be used for conservation and management. One way is in the development of biomarkers. For example, we could survey brook trout from various streams over a period of time to discover a set of genes that reliably tracks temperature stress. Using this information, we could identify populations that are at risk and target them for habitat or other mitigation.

We could also identify populations that are especially resilient to thermal stress and use those for reintroduction or assisted migration. Because gene expression flexibly responds to the environment and because we can often get tissue through non-lethal means — for example, by extracting a tiny piece of gill — it could allow us to much better track population stress.

Under a potential future scenario, a technician conducting an electro-fishing survey for the Pennsylvania Fish and Boat Commission could take a small piece of gill, put it in a provided vial to preserve it, and mail to Penn State. We would be able to tell the commission whether that fish was exhibiting signs of thermal stress or other stressors for which we had information.

Q: Why isn’t everyone already using this approach?

Keagy: Genomic sequencing is expensive, but it is getting cheaper. We point out in our paper that it is possible to get samples sequenced with certain technologies below $100 per sample. That price will likely continue to come down as there are new generation sequencers coming onto the market.

There are also challenges to the approach both from an experimental design and statistical analysis side. We discuss these in the paper and offer some suggestions, although point out that the field could benefit from more work in figuring out the best way to do analysis efficiently.

The team

The landscape transcriptomics initiative at Penn State — which includes Christina Grozinger, Publius Vergilius Maro Professor of Entomology; Heather Hines, associate professor of biology and entomology; and Tyler Wagner, assistant unit leader USGS Cooperative Fish and Wildlife Research Unit and adjunct professor of fisheries ecology — received a Strategic Networks and Initiatives Program Grant Level I from the College of Agricultural Sciences.

By supporting the team’s research efforts, the college is recognizing that Penn State is uniquely positioned to make advances in the emerging field, explained Blair Siegfried, associate dean of research for the college.

“Here in the College of Agricultural Sciences at Penn State, a number of faculty using transcriptomics in their research already are deeply interested in all the questions outlined in the just-published paper, including the conservation and natural resource management applications,” he said. “We are excited about this interdisciplinary, faculty-driven research initiative and the directions this team is opening up for future research.”

Study highlights best practices in buffelgrass control

Peer-Reviewed Publication

CAMBRIDGE UNIVERSITY PRESS

Invasive Plant Science and Management 

IMAGE: THE INVASIVE PLANT SCIENCE AND MANAGEMENT JOURNAL FOCUSES ON FUNDAMENTAL AND APPLIED RESEARCH ON INVASIVE PLANT BIOLOGY, ECOLOGY, MANAGEMENT AND RESTORATION OF INVADED NON-CROP AREAS AS WELL AS THE MANY OTHER ASPECTS RELEVANT TO INVASIVE SPECIES, INCLUDING EDUCATIONAL ACTIVITIES, POLICY ISSUES AND CASE STUDY REPORTS. view more 

CREDIT: WEED SCIENCE SOCIETY OF AMERICA

WESTMINSTER, Colorado – 9 May, 2023 – Buffelgrass is a highly invasive perennial found in arid regions around the globe. It is known to reduce the biodiversity of native ecosystems and to increase the frequency and intensity of wildfires.

A team of researchers recently took a close look at efforts to control buffelgrass in Arizona’s Saguaro National Park, located in the Sonoran Desert. An article featured in volume 16, issue 1 of the journal Invasive Plant Science and Management describes what that investigation can tell us about effective control strategies. After examining data from 2011 to 2020, the team found:

  • Chemical treatments with glyphosate had greater or equal effectiveness as compared to mechanical removal methods
  • Early detection and treatment of new areas of buffelgrass invasion can increase treatment effectiveness.
  • Treatments are likely to be more effective if spaced at an interval of less than three years.
  • Steep slopes with south-facing aspects may need more frequent treatment since that environment favors buffelgrass growth.
  • If longer treatment gaps are necessary due to a lack of resources, treatments in areas with less favorable environmental conditions for buffelgrass (e.g., north-facing aspect, low topographic slope) can be cautiously discontinued on a temporary basis.

“Most important of all are long-term monitoring and surveillance,” says Yue M. Li, conservation research scientist at the Arizona-Sonora Desert Museum and a postdoctoral research associate at the University of Arizona. “Low levels of buffelgrass can quickly expand by multiple orders of magnitude.”

To learn more, visit the article “Effectiveness of a decade of treatments to reduce invasive buffelgrass (Pennisetum ciliare)” – available at https://doi.org/10.1017/inp.2023.2.

CABBI researchers chart oilcane microbiome

Further exploration may reveal opportunities to leverage plant-microbial interactions, which could increase oil yields for sustainable bioenergy production

Peer-Reviewed Publication

UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN INSTITUTE FOR SUSTAINABILITY, ENERGY, AND ENVIRONMENT

Oilcane at Illinois Energy Farm 

IMAGE: OILCANE IS A KEY PLAYER IN BIOFUEL PRODUCTION. UNDERSTANDING ITS INTERACTIONS WITH MICROBES MAY HELP RESEARCHERS DEVELOP MANAGEMENT PRACTICES THAT WILL IMPROVE THE CROP'S RESILIENCE AND PRODUCTIVITY. CREDIT: CABBI view more 

CREDIT: CENTER FOR ADVANCED BIOENERGY AND BIOPRODUCTS INNOVATION (CABBI)

In a groundbreaking new collaboration, scientists at the Center for Advanced Bioenergy and Bioproducts Innovation (CABBI) have identified the types of microbes that associate with engineered oilcane. Further exploration of the oilcane microbiome may reveal opportunities to leverage plant-microbial interactions in these feedstocks, which could increase oil yields for sustainable bioenergy production.

In terms of biomass, sugarcane is the world’s most-produced crop, and it’s not hard to see why; it provides the feedstock for 26% of the world’s bioethanol and 80% of global sugar production.

A particular variety of metabolically engineered sugarcane, called oilcane, accumulates 30 to 400 times more energy-dense triacylglycerol (TAG) than wild type sugarcane, which makes it an ideal crop for biofuel production. By studying this feedstock that diverts natural sugars for oil production, researchers can provide sustainable, plant-based fossil fuel alternatives.

One avenue that researchers are looking into for crop improvement is microbiome management. Understanding the interactions between plants and the microorganisms that live on and in them may help us develop agricultural management practices that can increase crop productivity and resilience. While the sugarcane microbiome has been studied, the oilcane microbiome has historically been uncharted territory.

In a collaboration between CABBI’s Sustainability and Feedstock Production themes, researchers explored the differences in microbiome structure between several oilcane accessions and wild-type sugarcane. Iowa State Postdoctoral Researcher Jihoon Yang and Assistant Professor Adina Howe led the project from the Sustainability side, while University of Florida Biological Scientist Baskaran Kannan and Professor Fredy Altpeter were the Feedstock leads.

The study, published in Biotechnology for Biofuels and Bioproducts, examined the microbiomes of four different oilcane accessions (developed by Altpeter’s team at the University of Florida) in comparison to non-modified sugarcane.

The team planted each of these engineered oilcanes and sugarcane in the same soil. Once grown, they sampled the microbes of the leaves, stems, roots, rhizosphere soils, and bulk soil. Using cutting-edge sequencing and bioinformatics tools, the team found that each accession of oilcane had different microbiomes than the non-modified sugarcane.

Interestingly, the greatest differences in microbiome composition were observed in the oilcane accession that most highly expressed the WRI1 transgene. WRI1 is known as the “master-regulator” of lipid biosynthesis and contributes significant changes in the gene expression profile, which impact the plant’s ability to accumulate energy-dense TAG.

This study showed that metabolically engineered oilcane accessions differing in their transgene expression will associate with distinct microbiomes, suggesting that the metabolic differences in oilcane (compared to sugarcane) play a part in determining the composition of the plant’s microbiome.

The researchers postulate that the oilcane’s association with specific microbes in the soil may benefit the plant in some way, as is often the case in other plants. The team hopes to direct further research toward understanding how microbiomes unique to certain oilcane types interact with their host plants.

“Insight in this area could lead to breakthroughs in oilcane management, in which growers could tailor plant-microbe interactions to improve their crop and oil yields,” Howe said.

Added Altpeter: “Additional research may also lead to a tailored microbiome that could boost agronomic performance and yield from metabolically engineered oilcane.”

CABBI co-authors on this study include Thanwalee Sooksa-nguan (Department of Agricultural and Biosystems Engineering, Iowa State University), Sofia Cano-Alfanar (Agronomy Department, University of Florida-IFAS), Hui Liu (Biology Department, Brookhaven National Laboratory), John Shanklin (Biology Department, Brookhaven National Laboratory), and Angela Kent (Department of Natural Resources and Environmental Sciences, University of Illinois Urbana-Champaign).

Harvested stem of oilcane accessions and non-modified sugarcane grown in a greenhouse. 17T, 1565, 1566, 1569, and CP88-1792 represent the different oilcane accessions and wild-type sugarcane, respectively. Photo courtesy of Thanwalee Sooksa-nguan

CREDIT

Thanwalee Sooksa-nguan

Students positive towards AI, but uncertain about what counts as cheating

Reports and Proceedings

CHALMERS UNIVERSITY OF TECHNOLOGY

AI survey 

IMAGE: STUDENTS IN SWEDEN ARE POSITIVE TOWARDS AI, BUT UNCERTAIN ABOUT WHAT COUNTS AS CHEATING. view more 

CREDIT: CHALMERS UNIVERSITY OF TECHNOLOGY | MIA HALLERÖD PALMGREN

Students in Sweden are positive towards AI tools such as ChatGPT in education, but 62 percent believe that using chatbots during exams is cheating. However, where the boundary for cheating lies is highly unclear. This is shown in a survey from Chalmers University of Technology, which is the first large-scale study in Europe to investigate students' attitudes towards artificial intelligence in higher education.

I am afraid of AI and what it could mean for the future.
Don't worry so much! Keep up with the development and adapt your teaching for the future.
ChatGPT and similar tools will revolutionise how we learn, and we will be able to come up with amazing things.

These are three out of nearly two thousand optional comments from the survey which almost 6,000 students in Sweden recently participated in.

“The students express strong, diverse, and in many cases emotionally charged opinions,” says Hans Malmström, Professor at the Department of Communication and Learning in Science at Chalmers University of technology. He, together with his colleagues Christian Stöhr and Amy Wanyu Ou, conducted the study.

More than a third use ChatGPT regularly

A majority of the respondents believe that chatbots and AI language tools make them more efficient as students and argue that such tools improve their academic writing and overall language skills. Virtually all the responding students are familiar with ChatGPT, the majority use the tool, and 35 percent use the chatbot regularly.

Lack guidance – opposed a ban

Despite their positive attitude towards AI, many students feel anxious and lack clear guidance on how to use AI in the learning environments they are in. It is simply difficult to know where the boundary for cheating lies. 

“Most students have no idea whether their educational institution has any rules or guidelines for using AI responsibly, and that is of course worrying. At the same time, an overwhelming majority is against a ban on AI in educational contexts,” says Hans Malmström.

No replacement for critical thinking

Many students perceive chatbots as a mentor or teacher that they can ask questions or get help from, for example, with explanations of concepts and summaries of ideas. The dominant attitude is that chatbots should be used as an aid, not replace students' own critical thinking. Or as one student put it: “You should be able to do the same things as the AI, but it should help you do it. You should not use a calculator if you don't know what the plus sign on it does”.

Aid in case of disabilities

Another important aspect that emerged in the survey was that AI serves as an effective aid for people with various disabilities. A student with ADD and dyslexia described how they had spent 20 minutes writing down their answer in the survey and then improved it by inputting the text into ChatGPT: “It’s like being color blind and suddenly being able to see all the beautiful colors”.

Giving students a voice

The researchers have now gathered a wealth of important information and compiled the results in an overview report. 

“We hope and believe that the answers from this survey will give students a voice and the results will thus be an important contribution to our collective understanding of AI and learning,” says Christian Stöhr, Associate Professor at the Department of Communication and Learning in Science at Chalmers.
 

More about the study 

“Chatbots and other AI for learning: A survey on use and views among university students in Sweden” was conducted in the following way: The researchers at Chalmers conducted the survey between 5 April and 5 May, 2023. Students at all universities in Sweden could participate. The survey was distributed through social media and targeted efforts from multiple universities and student organisations. In total, the survey was answered by 5,894 students.


Summary of results:

  • 95 percent of students are familiar with ChatGPT, while awareness of other chatbots is very low.
  • 56 percent are positive about using chatbots in their studies; 35 percent use ChatGTP regularly.
  • 60 percent are opposed to a ban on chatbots, and 77 percent are against a ban on other AI tools (such as Grammarly) in education.
  • More than half of the students do not know if their institution has guidelines for how AI can be used in education; one in four explicitly says that their institution lack such regulations.
  • 62 percent believe that using chatbots during examinations is cheating.
  • Students express some concern about AI development, and there is particular concern over the impact of chatbots on future education.


For more information, please contact: 

Hans Malmström, Professor, Department of Communication and Learning in Science, Chalmers University of Technology, Sweden, mahans@chalmers.se, +46 70 996 62 16 (Language: Swedish, English)

Christian Stöhr, Associate Professor, Department of Communication and Learning in Science, Chalmers University of Technology, Sweden, christian.stohr@chalmers.se, +46 31 772 24 48 (Language: Swedish, English, German)

Amy Wanyu Ou, Postdoc, Department of Communication and Learning in Science, Chalmers University of Technology, Sweden, amywa@chalmers.se +46 31 772 50 12 (Language: English, Chinese)

Rooftop solar panels could power one third of US manufacturing sector

Peer-Reviewed Publication

IOP PUBLISHING

Rooftop solar array 

IMAGE: ARRAY OF TIGHTLY-PACKED SOLAR PANELS IN NEAT ROWS STRETCHING INTO THE DISTANCE. view more 

CREDIT: IOP PUBLISHING

  • Rooftop solar arrays have the potential to meet the annual electricity demands of up to 35% of US manufacturing sectors. 

  • On-site sources of renewable energy currently supply less than 0.1% of industrial electricity demand in the US.  

  • The industrial sector accounts for 38% of global energy consumption and 37% of greenhouse gas emissions. 

  • Despite having the potential to cover 13.6% of the national electricity demand, rooftop solar arrays currently account for just 2.2% of the electricity grid mix.  

Mounted on the rooftops of industrial buildings, solar panels could meet the entire electricity demand of up to 35% of US manufacturers. A new study, published in IOP Publishing’s journal Environmental Research: Sustainability and Infrastructure, investigates the feasibility of meeting these electricity demands through on-site solar panel installations for different regions and manufacturing sectors across the United States.  

The study, led by researchers from Northeastern University, uses the US Department of Energy Manufacturing Energy Consumption Survey to compare the potential electricity generation of rooftop solar arrays against the electricity demand per unit of floor space for the average manufacturing building. The results show that rooftop solar arrays could completely fulfil the electricity requirement of 5-35% of US manufacturing sectors depending on the season, with companies producing furniture, textiles, and apparels set to benefit most.  

Dr Matthew Eckelman, Associate Professor of Civil and Environmental Engineering at Northeastern University, says: “Currently, less than 0.1% of the electricity required by the manufacturing sector in the US is generated through renewable, on-site sources. This must change if we are going to meet decarbonisation goals, and in many cases rooftop solar panels are now a feasible option for supplying low-carbon energy.” 

Globally, the industrial sector represents a large contributor to energy usage, and associated greenhouse gas and carbon emissions. As such, manufacturing has become an important target for global decarbonization efforts, with many companies switching to lower-carbon energy sources. The new study shows that rooftop solar panels could now be a feasible option for many manufacturing units due to their large, flat rooftops alongside falling prices, improved efficiencies, and flexibility in installation. Seasonally, manufacturing companies across nearly 40% of US locations could fulfil their electricity needs in the spring and summer time with rooftop solar arrays.  

Eckelman concludes, “Greater policy attention on the feasibility and potential benefits of rooftop solar panel arrays will help industries to achieve renewable energy and greenhouse gas emissions goals. Our research provides an indication of the locations and sectors for which rooftop solar arrays could significantly help manufacturing firms to reach these goals.” 

Researchers identify a brain marker indicating future suicide risk

Changing the connectivity in this brain circuit with stimulation or pharmacotherapies could represent new treatments to reduce suicide risk.

Peer-Reviewed Publication

BOSTON UNIVERSITY SCHOOL OF MEDICINE

FOR IMMEDIATE RELEASE, May 12, 2023
Contact: Gina DiGravio, 617-358-7838, ginad@bu.edu

Researchers Identify a Brain Marker Indicating Future Suicide Risk

Changing the connectivity in this brain circuit with stimulation or pharmacotherapies could represent new treatments to reduce suicide risk.

(Boston)—Identifying people at high risk for suicide is critical for applying lifesaving interventions and treatments. However, it is very difficult to identify who is at greatest risk and only modest improvements has been made in identifying high risk people over the last 50 years. One novel way to identify people at high risk of suicide is by investigating and identifying brain markers.

VA and BU researchers have found that the functional connectivity between brain networks involved in cognitive control and self-referential thought processing, differed among veterans with a history of suicide attempts - even before they tried to end their life – when compared to those with similar levels of psychiatric symptoms, but without a suicide history.

“Our study provides evidence that this brain connectivity marker may be identifiable before a suicide attempt, suggesting that it could help identify those at risk for suicide. This could also lead to new treatments that target these brain regions and their underlying functions,” explained corresponding author Audreyana Jagger-Rickels, PhD, principal investigator in the National Center for PTSD at the VA Boston Healthcare System and assistant professor of psychiatry at Boston University Chobanian & Avedisian School of Medicine.

Participants in this study included post-9/11 veterans who participated in a longitudinal study at VA Boston Translational Research Center for Traumatic Brain Injury and Stress Disorders (TRACTS) that measures brain, cognitive, physical and psychological health. As a part of this study, veterans completed a “resting” functional MRI scan, which measures intrinsic communication between brain regions and networks. From this dataset, they identified a group of veterans who reported a suicide attempt at a one-to-two-year follow-up assessment but who did not report a suicide attempt at any of their previous assessments.

They then identified another group that had equivalent symptoms of depression and posttraumatic stress disorder (PTSD), but did not report a suicide attempt. Having this comparison group allowed the researchers to isolate brain connectivity associated with suicide attempts, rather than other factors like PTSD and depression. They then examined brain connectivity in the suicide attempt group before and after their suicide attempt and compared them to the matched control group. This comparison revealed that brain connectivity between cognitive control and self-referential processing networks was dysregulated in the suicide attempt group. Critically, this brain connectivity signature of suicide risk was present both before and after the attempt, suggesting that this brain marker may be a novel suicide-specific risk factor.

One of the challenges in suicide risk assessment is that it primarily relies on the method of self-reporting. “As a result, interventions to reduce suicide risk are limited to people who feel comfortable enough to disclose (self-report) suicidal thoughts and behaviors. Identifying measures that do not require self-disclosure of suicidal thoughts and behaviors may help us identify people who are overlooked, and may also aid in the development of novel treatments targeting the brain mechanisms underlying suicidal thoughts and behaviors,” said Jagger-Rickels.

The study also indicated that connectivity of the right amygdala, a brain region important for fear learning and trauma, differed between the suicide attempt group and the matched control group, but only after reporting a suicide attempt. “This suggests that there are brain changes that occur after a suicide attempt, which could be related to the stressors surrounding a suicide attempt or due to the trauma of the suicide attempt itself. This would indicate that suicide attempts themselves impact the brain, which could increase future suicide risk,” she added.

These findings appear online in the Journal of Affective Disorders.

This research was supported by the Department of Veteran s Affairs (VA) Translational Research Center for TBI and Stress Disorders (TRACTS), a VA Rehabilitation Research and Development National Network Center for TBI Research (B3001- C) to RM , a Merit Review Award from the VA Clinical Sciences Research and Development (I01CX001653) to ME , a SPiRE Award from VA Rehabilitation Research and Development (I21RX002737) to ME, a T32 post-doctoral training award from the National Institutes of Health (2T32MH01983621) and a Career Development Award from the VA Clinical Sciences Research and Development (IK1CX002541) to AJR.

 

Gender diversity and brain morphology among adolescents


JAMA Network Open

Peer-Reviewed Publication

JAMA NETWORK

About The Study: The findings of this study of 2,165 adolescents from the Netherlands general population suggest that global brain volumetric measures did not differ between adolescents who reported gender diversity and those who did not. However, these findings further suggest that gender diversity in the general population correlates with specific brain morphologic features in the inferior temporal gyrus among youths who are assigned male at birth. Replication of these findings is necessary to elucidate the potential neurobiological basis of gender diversity in the general population. 

Authors: Akhgar Ghassabian, M.D., Ph.D., of the New York University Grossman School of Medicine in New York, is the corresponding author. 

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(doi:10.1001/jamanetworkopen.2023.13139)

Editor’s Note: Please see the article for additional information, including other authors, author contributions and affiliations, conflict of interest and financial disclosures, and funding and support.

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About JAMA Network Open: JAMA Network Open is an online-only open access general medical journal from the JAMA Network. On weekdays, the journal publishes peer-reviewed clinical research and commentary in more than 40 medical and health subject areas. Every article is free online from the day of publication.