Friday, November 15, 2024

 

New report: Cyberthreats are growing – so are patents for technology to combat them



Patent data analysis highlights the leading companies in cybersecurity innovations



Digital Science

IFI CLAIMS Technology Spotlight: Cybersecurity 

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In its latest Technology Spotlight, IFI CLAIMS Patent Services has analyzed the top companies and their inventions to help safeguard cybersecurity.

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Credit: Digital Science / IFI CLAIMS




At a time when public trust has been undermined by strings of cyberattacks and cyber spying, IFI CLAIMS Patent Services – the industry’s most trusted patent data provider – has analyzed the top companies and their inventions to help safeguard cybersecurity.

Key points:

  1. Microsoft (with 133 patent applications)
  2. IBM (122)
  3. Intel (121)
  4. Knowbe4 (108)
  5. Darktrace Holdings (74)
  • Patent grants for cybersecurity have grown by about 11% year-on-year for the past 10 years. See the growth here.
  • The Top 5 Cyber Defense Technology Classifications attracting the most attention for patent applications and grants:
  1. Network architectures
  2. Security arrangements for protecting computers
  3. Pattern recognition for signal processing
  4. Cryptographic mechanisms
  5. Machine learning
  • Over the past five years, the most cited U.S. cybersecurity patent belongs to global insurance and financial company Aon – for a 2019 grant of its assessment system for cybersecurity risk.

See the full analysis at the IFI CLAIMS website: https://www.ificlaims.com/news/view/spotlight-cybersecurity.htm


About IFI CLAIMS Patent Services

IFI CLAIMS Patent Services uses a proprietary data architecture to produce the industry’s most accurate global patent database. The CLAIMS Direct platform allows for the easy integration of applications, other data sets, and analysis software. Headquartered in New Haven, Conn., with a satellite office in Barcelona, Spain, IFI CLAIMS is part of Digital Science, a digital research technology company based in London. For more information, visit www.ificlaims.com and follow IFI on LinkedIn.

About Digital Science

Digital Science is an AI-focused technology company providing innovative solutions to complex challenges faced by researchers, universities, funders, industry and publishers. We work in partnership to advance global research for the benefit of society. Through our brands – Altmetric, Dimensions, Figshare, IFI CLAIMS Patent Services, metaphacts, OntoChem, Overleaf, ReadCube, Scismic, Symplectic, and Writefull – we believe when we solve problems together, we drive progress for all. Visit www.digital-science.com and follow @digitalsci on X or on LinkedIn.


Media contacts:

For media inquiries and interviews, please contact Lily Iacurci, Marketing Manager, IFI CLAIMS Patent Services: lily.iacurci@ificlaims.com

David Ellis, Press, PR & Social Manager, Digital Science: Mobile +61 447 783 023, d.ellis@digital-science.com

 

Giving robots superhuman vision using radio signals




University of Pennsylvania School of Engineering and Applied Science
Seeing Through Radio Waves 

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Freddy Liu, Haowen Lai and Mingmin Zhao, from left, setting up a robot equipped with PanoRadar for a test run.

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Credit: Sylvia Zhang




In the race to develop robust perception systems for robots, one persistent challenge has been operating in bad weather and harsh conditions. For example, traditional, light-based vision sensors such as cameras or LiDAR (Light Detection And Ranging) fail in heavy smoke and fog. 

However, nature has shown that vision doesn't have to be constrained by light’s limitations — many organisms have evolved ways to perceive their environment without relying on light. Bats navigate using the echoes of sound waves, while sharks hunt by sensing electrical fields from their prey's movements.

Radio waves, whose wavelengths are orders of magnitude longer than light waves, can better penetrate smoke and fog, and can even see through certain materials — all capabilities beyond human vision. Yet robots have traditionally relied on a limited toolbox: they either use cameras and LiDAR, which provide detailed images but fail in challenging conditions, or traditional radar, which can see through walls and other occlusions but produces crude, low-resolution images.

Now, researchers from the University of Pennsylvania School of Engineering and Applied Science (Penn Engineering) have developed PanoRadar, a new tool to give robots superhuman vision by transforming simple radio waves into detailed, 3D views of the environment. 

"Our initial question was whether we could combine the best of both sensing modalities," says Mingmin Zhao, Assistant Professor in Computer and Information Science. "The robustness of radio signals, which is resilient to fog and other challenging conditions, and the high resolution of visual sensors."

In a paper to be presented at the 2024 International Conference on Mobile Computing and Networking (MobiCom), Zhao and his team from the Wireless, Audio, Vision, and Electronics for Sensing (WAVES) Lab and the Penn Research In Embedded Computing and Integrated Systems Engineering (PRECISE) Center, including doctoral student Haowen Lai, recent master’s graduate Gaoxiang Luo and undergraduate research assistant Yifei (Freddy) Liu, describe how PanoRadar leverages radio waves and artificial intelligence (AI) to let robots navigate even the most challenging environments, like smoke-filled buildings or foggy roads.

PanoRadar is a sensor that operates like a lighthouse that sweeps its beam in a circle to scan the entire horizon. The system consists of a rotating vertical array of antennas that scans its surroundings. As they rotate, these antennas send out radio waves and listen for their reflections from the environment, much like how a lighthouse's beam reveals the presence of ships and coastal features. 

Thanks to the power of AI, PanoRadar goes beyond this simple scanning strategy. Unlike a lighthouse that simply illuminates different areas as it rotates, PanoRadar cleverly combines measurements from all rotation angles to enhance its imaging resolution. While the sensor itself is only a fraction of the cost of typically expensive LiDAR systems, this rotation strategy creates a dense array of virtual measurement points, which allows PanoRadar to achieve imaging resolution comparable to LiDAR. "The key innovation is in how we process these radio wave measurements," explains Zhao. "Our signal processing and machine learning algorithms are able to extract rich 3D information from the environment."

One of the biggest challenges Zhao's team faced was developing algorithms to maintain high-resolution imaging while the robot moves. "To achieve LiDAR-comparable resolution with radio signals, we needed to combine measurements from many different positions with sub-millimeter accuracy," explains Lai, the lead author of the paper. "This becomes particularly challenging when the robot is moving, as even small motion errors can significantly impact the imaging quality."

Another challenge the team tackled was teaching their system to understand what it sees. "Indoor environments have consistent patterns and geometries," says Luo. "We leveraged these patterns to help our AI system interpret the radar signals, similar to how humans learn to make sense of what they see." During the training process, the machine learning model relied on LiDAR data to check its understanding against reality and was able to continue to improve itself.

"Our field tests across different buildings showed how radio sensing can excel where traditional sensors struggle," says Liu. "The system maintains precise tracking through smoke and can even map spaces with glass walls." This is because radio waves aren't easily blocked by airborne particles, and the system can even "capture" things that LiDAR can't, like glass surfaces. PanoRadar's high resolution also means it can accurately detect people, a critical feature for applications like autonomous vehicles and rescue missions in hazardous environments.

Looking ahead, the team plans to explore how PanoRadar could work alongside other sensing technologies like cameras and LiDAR, creating more robust, multi-modal perception systems for robots. The team is also expanding their tests to include various robotic platforms and autonomous vehicles. "For high-stakes tasks, having multiple ways of sensing the environment is crucial," says Zhao. "Each sensor has its strengths and weaknesses, and by combining them intelligently, we can create robots that are better equipped to handle real-world challenges."

This study was conducted at the University of Pennsylvania School of Engineering and Applied Science and supported by a faculty startup fund.

PanoRadar uses radio waves and AI to achieve superhuman vision. 

Credit

Sylvia Zhang

 

 RACIST MEDICINE IN AMERIKA

Unseen dementia: Study finds high rates of undiagnosed cognitive decline in vulnerable communities




Emory Health Sciences

Ambar Kulshreshtha 

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Ambar Kulshreshtha, MD, associate professor of family and preventive medicine at Emory University School of Medicine and lead author of the study.

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Credit: Emory University




Delayed dementia diagnosis carries serious consequences. Without timely intervention, undiagnosed cognitive impairment can lead to medication errors, falls, and increased caregiver stress. It also limits patients’ access to resources and care services that could improve their quality of life.

A new study led by researchers at Emory University School of Medicine and Indiana University reveals that many older adults receiving primary care at federally qualified health centers (FQHCs) live with undiagnosed cognitive impairments, including mild cognitive impairment (MCI) and dementia. In addition, African American patients were more than twice as likely as white patients to have undiagnosed cognitive issues. These findings highlight a critical gap in early detection within marginalized and underserved communities.

“Unrecognized cognitive impairment and dementia present a serious challenge in the U.S. and worldwide, affecting patients, families, and the health care system,” said Ambar Kulshreshtha, MD, associate professor of family and preventive medicine at Emory University School of Medicine and lead author of the study. “Delayed diagnosis often means patients are identified at later stages, when symptoms are more severe, and care is more complex. It also leads to missed opportunities for early treatment that could slow disease progression.”

Impact on underserved communities

FQHCs are nonprofit health centers primarily serving low-income, medically underserved communities, reaching about 30 million patients in the U.S. Most patients have family incomes below 200% of the federal poverty level, making it difficult to afford specialized medical services that require private insurance or out-of-pocket payments.

Published in JAMA Open Network, the study examined 204 adults aged 65 and older with no prior diagnosis of memory impairment at five FQHCs in Indianapolis from 2021 to 2023. Participants underwent comprehensive assessments, including interviews, medical record reviews, neurological exams, and neuropsychological tests. An interdisciplinary team consisting of a neurologist, geriatrician, and neuropsychologist reviewed the data to diagnose normal cognition, MCI, or dementia.

Researchers found that 75% of participants had undiagnosed cognitive issues: 62% had MCI, and 12.3% had dementia. Only 25% had no evidence of cognitive decline.

The study also revealed significant racial disparities, finding that African American patients were more than twice as likely as white patients to have undiagnosed MCI or dementia. These disparities remained even after adjusting for age, gender, and education, emphasizing the need for improved care pathways for early detection in vulnerable populations. Researchers caution against attributing higher rates among African Americans to biological differences; instead, factors like residential segregation, air pollution, discrimination, and educational quality likely play significant roles in these disparities.

Access barriers and systemic problems—such as limited time, training, and resources for cognitive screening in primary care—further compound the higher rates of undetected MCI and dementia among African Americans.

Removing barriers to dementia screening

“Our findings underscore the need for timely screening among older adults, especially high-risk groups like African Americans,” said Kulshreshtha. “Other minority groups, like non-English speaking individuals and those in rural areas, may face even greater challenges in accessing cognitive screenings. There’s still stigma and misconceptions about dementia, and we need to do more to educate our communities. With new treatment options and lifestyle changes that can help, health care systems must evolve to provide timely, equitable approaches for early detection and intervention.”

For patients without access to a specialist, experts recommend incorporating brief cognitive tests during routine visits as a practical solution for early detection. In Atlanta, where Kulshreshtha practices,  he works to help solve this problem as an advisory board member for Georgia Memory Net, a state-funded program led by Emory to promote early and accurate Alzheimer’s diagnosis through primary care.

New model for dementia care

Recent advancements in dementia treatment include the Centers for Medicare & Medicaid Services’ (CMS) Guiding an Improved Dementia Experience (GUIDE) model, a new payment approach designed for patients on regular (fee-for-service) Medicare to enhance their care and alleviate the burden on unpaid caregivers. Emory Integrated Memory Care in Atlanta—one of the nation's most recognized, nurse-practitioner led primary care practices specifically designed for dementia patients and their caregivers—is the only established GUIDE clinic practice in Georgia already operating this model since July 2024.

“Dr. Kulshreshtha is deeply committed to understanding and addressing the challenges of dementia care – he not only studies the issues, but actively partners to develop solutions,” said Ted Johnson, MD, chair of the department of family and preventive medicine and a supporting physician at Emory Integrated Memory Care. “At the Emory Integrated Memory Care clinic, he is a fully partnered, sponsoring physician for the nurse practitioner-led team. His work in this research study is a prime example of his work alongside other national experts to improve patient outcomes.”

CITATION: Kulshreshtha A, Parker ES, Fowler NR, Summanwar D, Miled ZB, Owora AH, Galvin JE, Boustani MA. Prevalence of Unrecognized Cognitive Impairment in Federally Qualified Health Centers. JAMA Netw Open. 2024;7(10):e2440411. doi:10.1001/jamanetworkopen.2024.40411

FUNDING: This study was funded by the National Institutes of Health, National Institute on Aging (grant R01AG06976).

 

Study: Student absenteeism crisis may be hurting teacher job satisfaction



Researchers warn that rising absenteeism could worsen growing teacher shortages



American Educational Research Association




Washington, November 12, 2024—As student absenteeism reaches record highs in schools across the United States, new research finds that student absences are linked to lower teacher job satisfaction, raising concerns that this may exacerbate growing teacher shortages. The findings were published today in Educational Researcher, a peer-reviewed journal of the American Educational Research Association.

The study, by Michael Gottfried and Colby Woods at the University of Pennsylvania, and Arya Ansari at The Ohio State University, is the first to examine the connection between student absenteeism and teacher satisfaction. Using nationally representative data from the U.S. Department Education on 2,370 kindergarten teachers, the researchers found that when teachers have more absent students, they report feeling less satisfied with their jobs. This was true for new teachers as well as more experienced teachers.

“Our findings show that a lack of good student attendance has the potential to detract from the satisfaction teachers get from instructing and helping their students learn and grow,” said Gottfried, a professor at the University of Pennsylvania Graduate School of Education. “This has important implications for the current educational landscape. Addressing absenteeism is critical not only for improving student outcomes, but also for bolstering the teacher workforce, which faces a host of challenges.”

The study found that student absenteeism had no link to teachers’ feelings about other aspects of school, such as their teaching ability or school climate—just job satisfaction. There was also no indication that teachers who were less satisfied to begin with were being assigned to the students who were more likely to be absent.

“We show that student absenteeism emerges as a teacher challenge, and so there is a need for a more well-rounded approach to addressing the effects of absenteeism in the classroom,” Gottfried said. “Approaches need to go beyond only those that are focused on students. Broader efforts will have the potential to yield positive impacts across teachers, contributing to a more satisfied and engaged workforce.”

Examples of effective efforts include investing in interventions that strengthen teachers’ relationships with students and families, implementing trauma-informed teaching, and professional development to support the diverse needs of students, including those at risk of absenteeism. Absenteeism initiatives could also improve working conditions for teachers. For example, reducing administrative burdens and increasing staffing support to better address absenteeism-related challenges could bolster more regular school attendance and, in turn, improve satisfaction, according to Gottfried.

Study citation: Gottfried, M.A., Woods C. S., & Ansari, A. (2024). Do teachers with absent students feel less job satisfaction? Educational Researcher. Prepublished November 12, 2024.  https://doi.org/10.3102/0013189X241292331

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About AERA
The American Educational Research Association (AERA) is the largest national interdisciplinary research association devoted to the scientific study of education and learning. Founded in 1916, AERA advances knowledge about education, encourages scholarly inquiry related to education, and promotes the use of research to improve education and serve the public good. Find AERA on FacebookXLinkedInInstagramThreads, and Bluesky.

 

New study examines the impact of peer support on women veterans



Improvements seen in those suffering from PTSD, depression and loneliness



Boston University School of Medicine





(Boston)—Women who serve in the armed forces have a unique life journey. They are a minority during service and a rarity in the civilian population. Their contributions to military service are often unknown, unrecognized, or worse, disregarded. Prior studies show these women may step back further and further from their military identity, which may put them at greater risk for long-term, negative mental health and well-being.

A new study by researchers at Boston University Chobanian & Avedisian School of Medicine has found that women veterans who participated in a peer support program experienced a greater sense of belonging, higher quality of life and less post-traumatic stress disorder (PTSD) and depression.

 

“The loss of belongingness after service can be particularly profound for many women veterans and can result in loneliness and isolation, risk factors for a host of negative mental health outcomes,” said corresponding author Tara Galovski, PhD, professor of psychiatry at the school and director of the Women’s Health Sciences Division of the National Center for PTSD at the Department of Veterans Affairs.

 

Galovski is a cofounder of WoVeN (the Women Veterans Network), a national peer support program developed through Boston University with the support of several foundations. The program, originally developed in 2017 with six peer leaders and 15 women veterans, has since grown to nearly 5,000 women veterans nationwide. This is the first paper to report on the results of the voluntary research study and describes the impact of the program on women veterans, particularly the strong effects on those who suffer from mental health conditions like PTSD and depression.

 

The researchers analyzed survey data of 393 participants in the WoVeN group program collected at baseline, post-group and three-month follow-up. They found that for those who suffered from clinical levels of PTSD and depression (about half the sample), improvements were observed in not only those mental health conditions, but also in their sense belonging and quality of life.

 

According to the researchers, loneliness, isolation and lack of belonging are known risk factors for a host of negative outcomes including PTSD, depression, anxiety and even suicide. “Social support is an established protective factor. However, the extent to which connections, belongingness and social support is measured and tested empirically is negligible. This model of peer-led social support can be easily translated to other vulnerable populations and provide a sustainable and easily replicable model of care for at-risk populations to help move the needle further toward better mental health and greater well-being,” adds Galovski.

 

These findings appear online in a special issue of Medical Care.

 

 

“This study was funded by the Walmart Foundation, May & Stanley Smith Charitable Trust, Bob Woodruff Foundation, and Oak Foundation.  The WoVeN program also has receives support from the VA.”

 

 

 

Ouch! Commonalties found in pain vocalizations and interjections across cultures



Study investigates vocalizations and interjections for pain, joy, and disgust across 131 languages.



American Institute of Physics

Vowel density maps 

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Vowel density maps reveal that distinct vowel spaces for vocalizations of pain, disgust, and joy remain consistent across languages.

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Credit: Ponsonnet et al.




WASHINGTON, Nov. 12, 2024 – There are an estimated 7,000 languages spoken worldwide, each offering unique ways to express human emotion. But do certain emotions show regularities in their vocal expression across languages?

In JASA, published on behalf of the Acoustical Society of America by AIP Publishing, an interdisciplinary team of linguists and bioacousticians led by Maïa Ponsonnet, Katarzyna Pisanski, and Christophe Coupé explored this by comparing expressive interjections (like “wow!”) to nonlinguistic vocalizations (like screams and cries) across the globe.

Pisanski explained how studying cries, screams, and laughter can shed light on the origins of speech.

“Why did we humans start to speak, and other primates didn’t? We all produce laughter, and hundreds of species produce playlike vocalizations,” said Ponsonnet. “Yet we are the only species that evolved spoken language. Looking at these commonalities across species can help us understand where humans diverged and how.

“Critically, by comparing interjections to vocalizations expressing the same emotions, we can test whether the acoustic patterns we observe in interjections can be traced back to vocalizations.”

The researchers analyzed vowels in interjections from 131 languages, comparing them with nearly 500 vowels from vocalizations produced in joyful, painful, or disgusting contexts.

They predicted that the vocalizations’ acoustic forms reflect their adaptive or social functions. “We believe that many vocal expressions have a function. For example, babies’ cries tend to be loud and harsh, evolving to annoy parents enough to stop the aversive signal. We expect vocal expressions of pain, disgust, and joy to reflect their functions too,” said Pisanski.

The researchers found evidence to support this for vocalizations: Each of the three emotions yielded consistent and distinct vowel signatures across cultures. Pain interjections also featured similar open vowels, such as “a,” and wide falling diphthongs, such as “ai” in “Ayyy!” and “aw” in “Ouch!” However, for disgusted and joyful emotions, in contrast to vocalizations, the interjections lacked regularities across cultures. The researchers expressed surprise at this latter finding.

The team aims to expand this research across more cultures and emotions to better understand how widespread vocal expressions arise and where they come from.

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The article “Vowel signatures in emotional interjections and nonlinguistic vocalizations expressing pain, disgust and joy across languages” is authored by Maïa Ponsonnet, Christophe Coupé, François Pellegrino, Garcia Arasco Aitana, and Katarzyna Pisanski. It will appear in The Journal of the Acoustical Society of America on Nov. 12, 2024 (DOI: 10.1121/10.0032454). After that date, it can be accessed at https://doi.org/10.1121/10.0032454.

ABOUT THE JOURNAL

The Journal of the Acoustical Society of America (JASA) is published on behalf of the Acoustical Society of America. Since 1929, the journal has been the leading source of theoretical and experimental research results in the broad interdisciplinary subject of sound. JASA serves physical scientists, life scientists, engineers, psychologists, physiologists, architects, musicians, and speech communication specialists. See https://pubs.aip.org/asa/jasa.

ABOUT ACOUSTICAL SOCIETY OF AMERICA

The Acoustical Society of America (ASA) is the premier international scientific society in acoustics devoted to the science and technology of sound. Its 7,000 members worldwide represent a broad spectrum of the study of acoustics. ASA publications include The Journal of the Acoustical Society of America (the world’s leading journal on acoustics), JASA Express Letters, Proceedings of Meetings on Acoustics, Acoustics Today magazine, books, and standards on acoustics. The society also holds two major scientific meetings each year. See https://acousticalsociety.org/.

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Young coral use metabolic tricks to resist bleaching



Reduced metabolism and increased nitrogen storage allow coral larvae to keep algae around at high temperatures


PLOS

Young coral use metabolic tricks to resist bleaching 

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(left) The lead author of the study surveys a coral reef in Kāne‘ohe Bay, Hawai‘i (image: Shayle Matsuda). (middle) Colonies of the study species, Montipora capitata, releasing gametes during a broadcast spawning event in Kāne‘ohe Bay (image: Mariana Rocha de Souza). (right) Close-up view of individual coral polyps releasing egg-sperm bundles during spawning (image: Mariana Rocha de Souza).

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Credit: Shayle Matsuda and Mariana Rocha de Souza (CC-BY 4.0, https://creativecommons.org/licenses/by/4.0/)




Coral larvae reduce their metabolism and increase nitrogen uptake to resist bleaching in high temperatures, according to a study published November 12th in the open-access journal PLOS Biology by Ariana S. Huffmyer of the University of Washington, US, and colleagues.

High ocean temperatures cause coral bleaching, which results from the disruption of the relationship between corals and their symbiotic algae, an increasing concern as global temperatures rise. However, relatively little research has examined the effects of high temperatures during early life stages of corals.

In this study, Huffmyer and colleagues exposed coral larvae to high temperatures at the Hawai‘i Institute of Marine Biology. For three days during their first week of development, the larvae and their algal symbionts were treated to temperatures 2.5 degrees Celsius above ambient temperature, similar to expected changes in seawater due to climate change. The coral larvae showed no signs of bleaching in the heated water, and they were able to maintain rates of algal photosynthesis and the supply of carbon-based nutrition from the algae to the host. However, there was a 19% reduction in coral metabolism, as well as increased uptake and storage of nitrogen by the coral, both of which are apparent strategies that improve coral survival.

Reduced metabolism allows the coral to conserve energy and resources, also seen in adult corals during bleaching.  The change in nitrogen cycling seems to be an adaptation by the coral to limit the amount of nitrogen available to the algae, thus preventing algal overgrowth and the destabilization of the coral-algae relationship.

It remains unclear how effective these strategies are at higher temperatures and for longer durations. Further research into the details and limitations of coral reaction to high temperatures will provide crucial knowledge for predicting coral response and protecting coral reefs as global temperatures continue to rise.

The authors add, “This research reveals that coral larvae must invest in their nutritional partnership with algae to withstand stress, offering key insights into strategies to avoid bleaching in earliest life stages of corals.”

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In your coverage, please use this URL to provide access to the freely available paper in PLOS Biologyhttp://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3002875

Citation: Huffmyer AS, Ashey J, Strand E, Chiles EN, Su X, Putnam HM (2024) Coral larvae increase nitrogen assimilation to stabilize algal symbiosis and combat bleaching under increased temperature. PLoS Biol 22(11): e3002875. https://doi.org/10.1371/journal.pbio.3002875

Author Countries: United States

Funding: This research was supported by the National Science Foundation Ocean Sciences Postdoctoral Fellowship (2205966 to ASH), National Science Foundation Rules of Life-Epigenetics (EF-1921465 to HMP), and a gift of the Washington Research Foundation to the University of Washington eScience Institute (eScience Data Science Postdoctoral Fellowship award to ASH). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.