Wednesday, September 04, 2024

 KINK

Can technology turn exercise pain into pleasure?


Most exercisers stop VR 'exergaming' when the program gets too tough or dull - could sensors that tune into a person's emotional state reverse low adherence?


University of Bath




Virtual reality (VR) video games that combine screen time with exercise are a great way to get fit, but game designers face a major challenge – like with regular exercise, adherence to ‘exergames’ is low, with most users dropping out once they start to feel uncomfortable or bored.

Computer scientists at the University of Bath believe they’ve found a solution: create exergames that use sensors to continuously measure a person’s emotional state while they exercise, then tweak the game – for instance, making it easier or harder – to keep the user engaged.

Dr Dominic Potts, lead author of a new study into harnessing cutting-edge sensor technology to keep exercisers motivated, said: “When it comes to physical exercise in all forms, motivation and exercise adherence are huge problems. With exergaming, we can address this issue and maximise a person’s enjoyment and performance by adapting the challenge level to match a user’s abilities and mood.

“Exercise games that are completely adaptive will sense a person's emotions and give them more ‘rewards’ when they’re struggling and more obstacles when they’re ready for a new challenge.”

Game designers have long aspired to develop more personalised exergames – i.e. programs that tune in to a person as they work out, adapting to their struggles and ambitions of the game unfolds – however, finding a trustworthy method for measuring a user’s evolving emotional state has proven elusive.

The Bath team has made a breakthrough by employing a novel range of sensors – which could be embedded in VR headsets and wearable devices such as smartwatches – to track physical changes experienced by an exerciser as they work out.

The team’s findings were published recently at the CHI Conference on Human Factors in Computing Systems – the premier international conference of Human-Computer Interaction (HCI), where the paper received an honourable mention award.

The researchers hope their findings will be adopted by game designers to create immersive programs that can keep a person peddling, running or weightlifting long after they’d normally choose to quit.

Background noise

Until now, sensors – which can be extremely effective at tracking emotional states when a person is sedentary – have proven unreliable at measuring the emotional landscape of a person involved in physical activity, making it hard to recognise if a person is experiencing happiness, stress of boredom.

“Traditionally, these sensing devices have been put into VR headsets to track blinks and pupil dilation, but generally they are highly susceptible to physiological and background noise,” explained Dr Potts.

Unwanted ‘noise’ is generated in two ways: by a person moving in unpredictable ways – as they often do when exercising – and by the exerciser responding to the virtual environment (VE) they’re immersed in. So, for instance, a sensor that shows a person’s pupils dilating as they exercise might reflect luminosity changes in the VE rather than the user’s evolving emotional state.

Reliable tracking

In the new study, 72 participants were involved in a VR static bike race while the Bath scientists used a specific combination of sensors to measure pupil size, facial expressions, heart rate, levels of sweating, skin inflammation and electrodermal activity (which measures the skin’s ability to conduct electricity, reflecting stress levels).

Data was collected through the sensors while racers worked out in four distinct VEs, where each environment was designed to induce a specific emotion (happiness, sadness, stress, and calmness). Participants moved through these VEs at three different exercise intensities (low, medium, and high).

For each workout, the researchers were able to paint an accurate picture of a user’s emotional state, matching the game’s level of difficulty and the nature of the VE with the physiological changes experienced by the user, as picked up by their sensors.

Drawing from this research, eight guidelines have been formulated for creators of VR exergame, aimed at enhancing the emotional engagement of users. Among these recommendations are the following:

  • Pupil-detecting sensors should be designed to correct for luminosity changes in the virtual environment.
  • Preexisting sweat levels of a user should be taken into account to predict stress and arousal of the nervous system.
  • Sensor data should be cleaned before and during an exergame (i.e. removing signals unrelated to emotional changes) to measure interpersonal differences and enable the game to be tailored to each user.
  • Multiple physiological sensors should be used to improve predictions of a user’s emotional state.

Dr Christof Lutteroth, who leads exergame research as director of the REVEAL research centre and is co-investigator at CAMERA, both based at the University of Bath, said: “In the long run, our objective is to make VR exercise emotionally intelligent.

“We fully expect VR physical activity to explode in popularity in the years ahead – school children are already using them as part of their exercise programmes and they are also being used in rehab and sports science – so it’s important to focus on making technology that’s emotionally intelligent and adaptive to differences between users.”

The University of Bath research team for this study included: Dr Dominic Potts, Masters student Zoe Broad, Psychology undergraduate Tarini Sehgal, Joseph HartleyProfessor Eamonn O'NeillDr Crescent JicolDr Christopher Clarke and Dr Christof Lutteroth.

Link to video explainer: https://youtu.be/P_AXa4Lb1UU?si=tCkhFxPAcN7gNH2f

 

When is the right time to launch new technologies?



Study led by Bayes helps companies avoid presenting innovative products and technologies to the marketplace at the wrong moment




City St George’s, University of London

Manager decision-making flow diagram 

image: 

A flow chart outlining management decision-making process on when to launch new technology to the market.

view more 

Credit: Robinson and Veresiu (2004)





New research from Bayes Business School (formerly Cass) finds that being on the cutting edge of technology is not enough to ensure success in the market, and managers must strategically time launches to create a source of opportunity and credibility for the firm.

The study, led by Dr Thomas Robinson, Senior Lecturer in Marketing at Bayes, with Dr Ela Veresiu, Associate Professor of Marketing at Schulich School of Business, York University, Toronto, develops a framework for guiding organisations on the best situations for a product launch.

The research identifies four timing situations that can confront marketing managers. Knowing the features and traits of each timing category allows firms to develop a launch strategy leading to success:

  • Synergistic timing is the optimal, legitimate launch condition whereby a firm and its stakeholders share norms about when things should occur. Here the market is ready for a product and stakeholders are ready to embrace change.
  • Flexible timing consists of low firm-led coordination but high stakeholder willingness to change. Consumers and other stakeholders initiate the legitimacy of a launch moment by being open to a product’s prospective utility. Flexible timing can become synergistic timing if a firm decides its product is sufficient for early release, or it can buy time with consumers by sharing prototype failures or ‘drip-feeding’ information about a product.
  • Inflexible timing occurs when there is little appetite from stakeholders to change their timing expectations, so the firm must induce appetite for new technology that can overcome stakeholder caution about the future. To move from inflexible to synergistic timing, managers should aim to restrict a product’s tech functionality or increase its dependency on human intervention.
  • Antagonistic timing arises when both stakeholder willingness to change and firm-led coordination are low, and launching new technology should not be a priority in this instance.

The conceptual paper draws on the 2013 release of the Google Glass augmented reality (AR) experience, which failed because it launched at the wrong moment. The firm itself was not adequately prepared, nor were consumers ready to accept the functionality of the device, leading to the glasshole moniker. A decade later, consumers are ready for public filming and social media sharing. Legislation is also in place in a way that now makes Ray-Ban’s Meta Smart Glasses a very desirable device.

Launching new technology in the market is therefore, according to the research, a social game, in which timing is an issue of poise and tact when engaging with stakeholders. Offering time signals consideration, respect, and mindfulness. Not offering enough time is rude and gets in the way of understanding and feeling comfortable around the new technology.

The research was supported by a comprehensive review of literature looking into the role of time in market legitimacy, using the Business Source Complete database to extract academic articles around subject – plus articles from 20 4*,4 and 3 ranked marketing journals that contained key words. The resulting sample of 172 articles were then coded to identify key and recurring themes around time.

Dr Robinson said insights on the role of timing are essential for firms to improve the odds of success at launch.

“While 30,000 new products are introduced every year, 95 percent fail,” he said.

 “Consider a marriage proposal on the first date, a request for more time after ten years in a relationship, waiting too long to thank a relative for a birthday present or serving a dessert before the mains at a dinner party. Stakeholders have strong timing-norms about pacing, sequencing, coordination and planning that impact the readiness of the market.

“While marketers often have a linear view of technology, our research on timing reveals that it is not always the case that the old is simply replaced by the new – often old, failed technologies have a comeback.

“Product categories like AR glasses rose from their own ashes in ‘phoenix markets’, suggesting that it can be worthwhile to revisit old failures. Smartwatches, electric cars, and social media were all initial failures that later succeeded. Substantial losses could have been avoided had they had better timing frameworks.

“While the timing framework is developed for launching new technologies, our research also has broader applications for rebranding and mergers, political marketing, understanding the fashion cycle, service design and the experience economy.”

Timing Legitimacy: Identifying the Optimal Moment to Launch Technology in the Market’ by Dr Thomas Robinson and Professor Ela Veresiu is published in the Journal of Marketing.

 

Dr. Torabi to study vulnerabilities in electric vehicle charging management systems




George Mason University





Dr. Sadegh Torabi, Assistant Professor, Information Sciences and Technology, College of Engineering and Computing (CEC), and Research Fellow at the Center for Secure Information Systems (CSIS), is set to receive funding for the project: “Collaborative Research: CISE MSI: RPEP: OAC: Macroscopic and Microscopic Inference and Analysis of Vulnerabilities within EV Charging-Management Systems.” 

Via this project, Dr. Torabi and his partners will establish a collaborative ecosystem among academia, industry, and the public sector to bolster the resilience of the EV Charging Infrastructure (CI). The critical nature of EV CI has made them targets for malicious attacks, often state-sponsored, exploiting rarely investigated vulnerabilities. Dr. Torabi aims to develop proactive methodologies to identify and analyze Internet-connected EV Management Stations (EVMS) and their software, thoroughly exploring and mitigating related vulnerabilities.  

Dr. Torabi’s primary objective is to detect deployed configurations and their interconnections, while retrieving critical artifacts, such as firmware binaries and compiled software, for comprehensive vulnerability analysis and disclosure. This project also outlines innovative methods to pinpoint and assess exploitable vulnerabilities within this evolving paradigm, while developing a feedback CI-centric repository for disseminating essential design guidelines and tangible threat information to various stakeholders. By bolstering the resilience of EVMS, this project advances clean and sustainable transportation, reinforces national security, and contributes to stabilizing energy supply and demand.

Dr. Torabi will receive $225,000 as a PI from the National Science Foundation for this project. Funding will begin in Oct. 2024 and will end in late Sept. 2028.

###

 

Prestigious NSF award to advance UK research to track emerging pathogens



The University of Kentucky is one of four institutions supported with this award. Pigman College of Engineering’s Scott Berry will lead the newly established NSF Pandemic Environmental Surveillance Center for Assessing Pathogen Emergence (NSF ESCAPE)




University of Kentucky

Prestigious NSF award to advance UK research to track emerging pathogens 

video: 

Scott Berry, Ph.D., an associate professor in the Department of Mechanical and Aerospace Engineering in the UK Stanley and Karen Pigman College of Engineering, is the principal investigator of the nearly $18 million award from the National Science Foundation. It will establish the NSF Pandemic Environmental Surveillance Center for Assessing Pathogen Emergence (NSF ESCAPE) at UK which will focus on environmental surveillance by combining social science, engineering, bioinformatics and risk modeling.

view more 

Credit: University of Kentucky Research Communications




We all have lived through a pandemic, its uncertainties, challenges, losses and scientific breakthroughs. A prestigious award from the U.S. National Science Foundation (NSF) is advancing the work of a team of researchers at the University of Kentucky to help society be better prepared for potential future pandemics.

Scott Berry, Ph.D., an associate professor in the Department of Mechanical and Aerospace Engineering in the UK Stanley and Karen Pigman College of Engineering, is the principal investigator of the six-year cooperative agreement projected to be nearly $18 million.

It’s part of NSF’s Predictive Intelligence for Pandemic Prevention (PIPP) program, which was initiated during the COVID-19 pandemic to address both the immediate threat as well as the broad range of diseases that drastically impact life on Earth.

In this second phase of the program, the awards establish centers comprised of multidisciplinary research teams to tackle this challenge.

UK is one of four institutions supported with this award. Its new center, named the NSF Pandemic Environmental Surveillance Center for Assessing Pathogen Emergence (NSF ESCAPE), will focus on environmental surveillance by combining social science, engineering, bioinformatics and risk modeling.

“The prevention of a pandemic is a complex process that requires a multidisciplinary set of skills,” said Berry. “People often think about doctors and nurses, but it’s really so much more than that. It’s public health officials, utility operators, basic scientists, engineers, policymakers — an entire community of problem solvers.”

NSF ESCAPE expands this team’s previous work using wastewater testing to show the first signs of a disease outbreak in a community. Berry invented a new technology called exclusion-based sample preparation to create a fast and simple way to test samples.

With the help of engineering students, Berry and his team also created a mobile lab to take wastewater testing to rural Kentucky.

“Appalachia is one of the most underserved regions of the United States, and we really wanted to bring cutting-edge technology out there,” said Berry. “That mission is reflected in our partnerships on this project. While we develop these technologies with low resource communities in mind, it’s really applicable to all our communities — rural and urban.”  

Berry is leading the seven-year effort along with co-principal investigators Matthew Scotch, Ph.D., associate dean and professor in the College of Health Solutions at Arizona State University; James Keck, Ph.D., a research physician at the University of Alaska Anchorage and the Alaska Native Tribal Health Consortium; and Sarah Olson, Ph.D., the associate director of epidemiology for the Wildlife Conservation Society Health Program.

“Our team is made up of many different groups across a huge geographical distance, as well as a diversity of different skills,” said Berry. “We’re hoping to continue to develop these tools that allow us to push environmental surveillance into the farthest reaches of the world.

“That includes expansion of our surveillance to animals. Pathogens are known to jump between animals and humans, and so we can’t just limit our analysis to humans alone. We have to really look at everything.”

Berry and the NSF ESCAPE team will also work with Sahar Alameh, Ph.D., an assistant professor in the College of Education, to develop curricula for students to tackle misinformation about diseases, pandemics and viruses. Alameh’s research focuses on helping students better understand scientific phenomena and supporting teachers in that work.

Researchers will also offer training for people working in public health to better understand what this new type of data means and how they can use it to help the health of their communities.

“Research on emerging infectious diseases is a critical investment in our future, and it necessitates a collaborative approach that spans multiple disciplines and sectors and incorporates the newest tools and technology,” said NSF Director Sethuraman Panchanathan. “By bringing together experts in biology, computer science and artificial intelligence, engineering and more, these investments are well positioned to predict, prevent and respond to potential pandemics across all forms of life, thus safeguarding the health, economic stability and security of our nation.”

This project is part of a series of NSF-funded work totaling $72 million. The network of team-based centers will accelerate fundamental research and development activities to develop methods and tools that will help predict and mitigate future pandemics, whether they arise in animals, plants or humans.

Learn more about the NSF’s PIPP program online.

The White House Office of Science & Technology Policy recently invited Berry and his team to a roundtable focused on emerging technologies for preventing health emergencies. Wastewater surveillance for outbreak early warning was one of the four types of broad technology spotlighted in the discussions.

Learn more about Berry’s work early on in the pandemic to help the UK campus monitor the prevalence of COVID. The team would expand that project to better serve communities with a mobile testing lab to take to nursing homes and low-resource areas of Kentucky.  

This material is based upon work supported by the U.S. National Science Foundation under Cooperative Agreement No. 2412446. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the U.S. National Science Foundation.


 

NIH awards will support innovation in syphilis diagnostics



Initiative to simplify testing process for an accelerated public health response



Grant and Award Announcement

NIH/National Institute of Allergy and Infectious Diseases

Syphilis 

image: 

Electron micrograph imagery of Treponema pallidum, the bacteria that cause syphilis, including a foreground close-up of a single particle (right). Spiral-shaped bacteria are colorized in gold.

view more 

Credit: NIAID




The National Institutes of Health’s National Institute of Allergy and Infectious Diseases (NIAID) has awarded grants for 10 projects to improve diagnostic tools for congenital and adult syphilis—conditions currently diagnosed with a sequence of tests, each with limited precision. The Centers for Disease Control and Prevention (CDC) estimates that adult and congenital syphilis cases increased by 80% and 183% respectively between 2018 and 2022—a crisis that prompted the U.S. Department of Health and Human Services (HHS) to establish a national taskforce to respond to the epidemic.  

“Syphilis antibiotics work, but antiquated testing makes it very difficult to ensure that people are appropriately diagnosed and fully treated,” said NIAID Director Jeanne M. Marrazzo, M.D., M.P.H. “Advanced diagnostics could streamline syphilis care and also enhance our ability to measure the efficacy of candidate syphilis vaccines and other prevention modalities.” 

Syphilis is a common sexually transmitted infection caused by the bacterium Treponema pallidum. It can cause adult neurological and organ damage, as well as congenital abnormalities, stillbirths, and neonatal deaths. The CDC reports that U.S. syphilis incidence has increased since 2000, marked by a sharp rise in cases since 2019 and an escalating toll in medically underserved populations. 

The current syphilis testing algorithm requires at least two antibody-based tests, which are based on decades-old technology. These tests are unable to reliably distinguish between antibodies from active versus resolved syphilis infection. They also cannot consistently confirm whether a course of antibiotics has successfully cleared the T. pallidum bacteria from the body. Fortunately, modern molecular techniques, such as nucleic acid amplification systems and platforms which detect fragments of a pathogen, are now in use for other infectious diseases and could be adapted for diagnosing syphilis.

The new NIAID grants explore a range of immunologic and diagnostic concepts, including basic research to improve understanding of infant immune responses to syphilis, novel tests to identify different parts of T. pallidum genomic material in infants and adults, measures of antibiotic resistance in T. pallidum strains, and testing platforms that are feasible to use at the point of care rather than an off-site laboratory. With a cumulative $2.4 million in funding distributed across recipients, the awards are as follows:

Magic Lifescience, Inc., Mountain View, California
Project title: Development of a novel syphilis molecular diagnostic assay for a point-of-care multiplexed genital ulcer panel test on giant magnetoresistive biosensors
Principal investigator: Elaine Ng, Ph.D. (early-stage investigator)
Grant: 1 R21 AI185972-01

Research at Nationwide Children's, Columbus, Ohio 
Project title: Interrogating infant immune responses for diagnosis of congenital syphilis infection
Principal investigator: Masako Shimamura, M.D. 
Grant: 1 R21 AI186003-01

University of California San Francisco
Project title: Multi-omic approaches to identify novel biomarkers for the diagnosis of syphilis in pregnancy and assessment of treatment response
Principal investigator: Stephanie Gaw, M.D., Ph.D.
Grant: 1 R21AI186006-01

University of Texas at Austin
Project title: A triad approach towards improved diagnostics for maternal and congenital syphilis
Principal investigator: Sanchita Bhadra, Ph.D. (early-stage investigator) with Randolph Hubach, Ph.D., M.P.H. (Purdue University)
Grant: 1 R21 AI185965-01

University of Texas Southwestern Medical Center, Dallas
Project title: Pre-analytic factors affecting molecular tests for congenital syphilis
Principal investigator: Jeffrey Sorelle, M.D. with Emily Adhikari, M.D.
Grant: 1 R21 AI185968-01

University of Victoria, British Columbia, Canada 
Project title: Development of a direct diagnostic test for infectious and congenital syphilis
Principal investigator: Caroline Cameron, Ph.D.
Grant: 1 R21 AI186005-01

University of Washington, Seattle
Project title: Rapid and ultrasensitive aptamer-based detection technologies for T. pallidum
Principal investigator: Stephen Salipante, M.D., Ph.D.
Grant: 1 R21 AI184484-01

University of Washington, Seattle
Project title: Rapid point-of-care detection of T. pallidum resistance to macrolides and tetracyclines by multiplexed loop-mediated amplification (LAMP)
Principal investigator: Joshua Lieberman, M.D., Ph.D. (early-stage investigator)
Grant: 1 R21 AI184749-01

University of Washington, Seattle
Project title: Sensitive Treponema pallidum genome recovery through tiling amplicon sequencing
Principal investigator: Alexander Greninger, M.D., Ph.D., M.S., M.Phil.
Grant: 1 R21 AI185726-01

Virginia Polytechnic Institute and State University, Blacksburg
Project title: Released peptidoglycan fragments are a biomarker for early stages of syphilis
Principal investigator: Brandon Jutras, Ph.D.
Grant: 1 R21 AI185998-01


NIAID conducts and supports research—at NIH, throughout the United States, and worldwide—to study the causes of infectious and immune-mediated diseases, and to develop better means of preventing, diagnosing and treating these illnesses. News releases, fact sheets and other NIAID-related materials are available on the NIAID website.

About the National Institutes of Health (NIH): NIH, the nation's medical research agency, includes 27 Institutes and Centers and is a component of the U.S. Department of Health and Human Services. NIH is the primary federal agency conducting and supporting basic, clinical, and translational medical research, and is investigating the causes, treatments, and cures for both common and rare diseases. For more information about NIH and its programs, visit https://www.nih.gov/.

NIH...Turning Discovery Into Health®

 

Assorted, distinctive behavior of molten uranium salt revealed by neutrons



DOE/Oak Ridge National Laboratory
Neutrons scatter off molten uranium trichloride 

image: 

In this illustration, neutrons produced at the SNS (purple dots) scatter off molten UCl3, depicted in green, revealing its atomic structure. Yellow and white globs (simulated data) represent the oscillating UCI3 bonds.

view more 

Credit: Alex Ivanov/ORNL, U.S. Dept. of Energy




Assorted, distinctive behavior of molten uranium salt revealed by neutrons

 

The Department of Energy’s Oak Ridge National Laboratory is a world leader in molten salt reactor technology development — and its researchers additionally perform the fundamental science necessary to enable a future where nuclear energy becomes more efficient. In a recent paper published in the Journal of the American Chemical Society, researchers have documented for the first time the unique chemistry dynamics and structure of high-temperature liquid uranium trichloride (UCl3) salt, a potential nuclear fuel source for next-generation reactors.

 

“This is a first critical step in enabling good predictive models for the design of future reactors,” said ORNL’s Santanu Roy, who co-led the study. “A better ability to predict and calculate the microscopic behaviors is critical to design, and reliable data help develop better models.”

 

For decades, molten salt reactors have been expected to possess the capacity to produce safe and affordable nuclear energy, with ORNL prototyping experiments in the 1960s successfully demonstrating the technology. Recently, as decarbonization has become an increasing priority around the world, many countries have re-energized efforts to make such nuclear reactors available for broad use.

 

Ideal system design for these future reactors relies on an understanding of the behavior of the liquid fuel salts that distinguish them from typical nuclear reactors that use solid uranium dioxide pellets. The chemical, structural and dynamical behavior of these fuel salts at the atomic level are challenging to understand, especially when they involve radioactive elements such as the actinide series — to which uranium belongs — because these salts only melt at extremely high temperatures and exhibit complex, exotic ion-ion coordination chemistry.   

 

The research, a collaboration among ORNL, Argonne National Laboratory and the University of South Carolina, used a combination of computational approaches and an ORNL-based DOE Office of Science user facility, the Spallation Neutron Source, or SNS, to study the chemical bonding and atomic dynamics of UCl3 in the molten state.

 

The SNS is one of the brightest neutron sources in the world, and it allows scientists to perform state-of-the-art neutron scattering studies, which reveal details about the positions, motions and magnetic properties of materials. When a beam of neutrons is aimed at a sample, many neutrons will pass through the material, but some interact directly with atomic nuclei and “bounce” away at an angle, like colliding balls in a game of pool.

Using special detectors, scientists count scattered neutrons, measure their energies and the angles at which they scatter, and map their final positions. This makes it possible for scientists to glean details about the nature of materials ranging from liquid crystals to superconducting ceramics, from proteins to plastics, and from metals to metallic glass magnets.

Each year, hundreds of scientists use ORNL’s SNS for research that ultimately improves the quality of products from cell phones to pharmaceuticals — but not all of them need to study a radioactive salt at 900 degrees Celsius, which is as hot as volcanic lava. After rigorous safety precautions and special containment developed in coordination with SNS beamline scientists, the team was able to do something no one has done before: measure the chemical bond lengths of molten UCl3 and witness its surprising behavior as it reached the molten state.

 

“I’ve been studying actinides and uranium since I joined ORNL as a postdoc,” said Alex Ivanov, who also co-led the study, “but I never expected that we could go to the molten state and find fascinating chemistry.”

 

What they found was that, on average, the distance of the bonds holding the uranium and chlorine together actually shrunk as the substance became liquid — contrary to the typical expectation that heat expands and cold contracts, which is often true in chemistry and life. More interestingly, among the various bonded atom pairs, the bonds were of inconsistent size, and they stretched in an oscillating pattern, sometimes achieving bond lengths much larger than in solid UCl3 but also tightening to extremely short bond lengths. Different dynamics, occurring at ultra-fast speed, were evident within the liquid.

 

“This is an uncharted part of chemistry and reveals the fundamental atomic structure of actinides under extreme conditions,” said Ivanov.

 

The bonding data were also surprisingly complex. When the UCl3 reached its tightest and shortest bond length, it briefly caused the bond to appear more covalent, instead of its typical ionic nature, again oscillating in and out of this state at extremely fast speeds — less than one trillionth of a second.

 

This observed period of an apparent covalent bonding, while brief and cyclical, helps explain some inconsistencies in historical studies describing the behavior of molten UCl3. These findings, along with the broader results of the study, may help improve both experimental and computational approaches to the design of future reactors.

 

Moreover, these results improve fundamental understanding of actinide salts, which may be useful in tackling challenges with nuclear waste, pyroprocessing. and other current or future applications involving this series of elements.

 

The research was part of DOE’s Molten Salts in Extreme Environments Energy Frontier Research Center, or MSEE EFRC, led by Brookhaven National Laboratory. The research was primarily conducted at the SNS and also used two other DOE Office of Science user facilities: Lawrence Berkeley National Laboratory’s National Energy Research Scientific Computing Center and Argonne National Laboratory’s Advanced Photon Source. The research also leveraged resources from ORNL’s Compute and Data Environment for Science, or CADES.

 

UT-Battelle manages ORNL for DOE’s Office of Science, the single largest supporter of basic research in the physical sciences in the United States. The Office of Science is working to address some of the most pressing challenges of our time. For more information, please visit energy.gov/science. — Emily Tomlin

 

How do new words arise in social media?



The position of users of X (formerly Twitter) in the network predicts the fate of the new words they use, study finds



Peer-Reviewed Publication

PLOS

How do new words arise in social media? 

image: 

Fig 2. Two trajectories of lexical innovations.

The usage rate per month of two changes (left) and two buzzes (right) represented by a rolling average with a three-month window (blue), as well as the result of the curve fitting (green). The three diffusion phases are represented by the grey shading in the background

view more 

Credit: Tarrade et al., 2024, PLOS Complex Systems CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/)





The more centrally connected someone is within their social media network, the more likely that new words they use will become adopted into mainstream language, according to a new study published this week in PLOS Complex Systems by Louise Tarrade of École Normale Supérieure, France, and colleagues.

Language evolves within a social context and variations in a language are always in competition with each other. In everyday language, words are constantly being created, but not all these words persist.

In the new study, researchers analyzed more than 650 million tweets written in French between 2012 and 2014 to identify 400 words that were new to appear in the social media network X (then called Twitter) during that time. Then, they tracked the diffusion of these words over the following five years, and looked at the position and connectivity of users who adopted the words.

The team found that initial adopters of new words, or “lexical innovations” are similar to each other, regardless of whether the innovations later succeed (as language changes) or fade away (as temporary buzzes). However, in the later propagation phase for lexical innovation, there were statistically significant differences between changes and buzzes. On average, the words that eventually persisted were used by people who were more central to their community, and remained in circulation at low levels for a longer period before entering a growth phase (18.5 months in circulation compared to 6.5 months for buzzes). Words that became only temporary buzzes were used by people with less central positions within a social network and had a more rapid rise in use – followed by a rapid decline.

“Our research examines lexical innovations at scale across millions of social media users,” the authors say. “We show that words adopted by users who are more central in their community and easily in contact with other communities become established in the language, and vice versa. Thus, the position in the network of speakers who adopt these words is enough to predict their fate.”

The authors add: “Doing sociolinguistics with digital data and computational methods offers the opportunity to scale up and reveal social dynamics at the population level.”

############

In your coverage, please use this URL to provide access to the freely available article in PLOS Complex Systemshttps://journals.plos.org/complexsystems/article?id=10.1371/journal.pcsy.0000005

Citation: Tarrade L, Chevrot J-P, Magué J-P (2024) How position in the network determines the fate of lexical innovations on Twitter. PLOS Complex Syst 1(1): e0000005. https://doi.org/10.1371/journal.pcsy.0000005

Author Countries: France

Funding: J.-P. M., J.-P. C. and L.T. are grateful to the ASLAN project (ANR-10-LABX-0081, https://aslan.universite-lyon.fr/) of the Université de Lyon for its financial support within the French program "Investments for the Future" operated by the National Research Agency (ANR). The data collection has been supported by the SoSweet ANR project (ANR-15-CE38-0011-03, https://anr.fr/) attributed to J.-P. M. and J.-P. C. The authors are also grateful to University of Grenoble Alpes and Ecole Normale Supérieure de Lyon for the support for publication. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

 

In US community efforts to prevent childhood obesity, women leaders with more experience and connections have the greatest impact



PLOS
In US community efforts to prevent childhood obesity, women leaders with more experience and connections have the greatest impact 

image: 

Fig 3. Cross-section of coalition-committee networks by wave of data collection.

This figure, panels A-L, illustrates the cross-section (by wave of data collection) network position movement of two coalition-committee members in each community who demonstrated the highest increases in their Knowledge and Engagement scores; it combines our positional, triad, and community detection analysis with changes in two of our key outcomes. Circles are coalition-committee members, with the two largest circles indicating the coalition-committee members who saw the largest increase in their Knowledge and Engagement scores. Triangles are those with whom coalition-committee members discuss childhood obesity prevention, termed first-degree alters. The colors correspond to community clusters that were identified using the SPLA algorithm.

view more 

Credit: Moore et al, 2024, PLOS Complex Systems, CC BY 4.0





In US community efforts to prevent childhood obesity, women leaders with more experience and connections have the greatest impact.

####

In your coverage, please use this URL to provide access to the freely available article in PLOS Complex Systems: https://journals.plos.org/complexsystems/article?id=10.1371/journal.pcsy.0000004  

Article Title: Determinants and facilitators of community coalition diffusion of prevention efforts

Author Countries: United States

Funding: TM, MP, and CE received funding from the JPB Foundation (PR0580) https://www.jpbfoundation.org. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.