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Low-cost, waterproof sensors may create new health-monitoring possibilities

Researchers developed an affordable, stretchable, and waterproof sensor using graphite material from pencils to monitor gas molecules, temperature, and electrical physiological signals. The device has the potential for public health applications, including collecting data on population health variation between geographic locations.

SourcePenn State·JournalChemical Engineering Journal·TypeExperimental study·DateMay 18, 2023

Bio-inspired device captures images by mimicking human eye

Researchers developed a new sensor array that mimics the red, green and blue photoreceptors in human eyes, producing high-quality images through a neural network-based algorithm. The device has the potential to revolutionize camera technology by increasing spatial resolution and reducing power consumption.

SourcePenn State·JournalScience Advances·TypeExperimental study·DateMay 12, 2023

Bio-inspired device captures images by mimicking human eye

Scientists at Penn State developed a new device that produces high-fidelity images by mimicking the red, green, and blue photoreceptors and neural network found in human eyes. The device uses narrowband perovskite photodetectors and a neuromorphic algorithm to process information and produce clear images.

SourcePenn State·JournalScience Advances·TypeExperimental study·DateMay 4, 2023

Biofortification of microgreens with zinc could mitigate global ‘hidden hunger’

Researchers at Penn State have developed a method to biofortify microgreens with zinc, which can increase their nutritional value and potentially address 'hidden hunger.' The study found that seeds soaked in a 200 parts per million solution of zinc sulfate resulted in higher zinc accumulation in pea and sunflower microgreens.

SourcePenn State·JournalFrontiers in Plant Science·TypeExperimental study·DateMay 4, 2023

T-cell vaccine for COVID-19 may last longer than current vaccines

A new AI-generated vaccine targeting T-cells provides broad coverage against future COVID-19 variants, potentially lasting longer than current antibody-based vaccines. This innovation has the potential to be used for seasonal flu and other vaccines, offering a long-lasting solution to emerging viral diseases.

SourcePenn State·JournalFrontiers in Immunology·DateApr 13, 2023

Exposure therapy to feared foods may help kids with eating disorders

A new study suggests that exposure therapy can be an effective treatment for adolescents with eating disorders, particularly in reducing anxiety towards food. The study found that exposing patients to feared foods, such as candy bars and pizza, helped decrease their anxiety levels and improved their relationships with food.

SourcePenn State·JournalInternational Journal of Eating Disorders·DateApr 5, 2023

Innovative method predicts the effects of climate change on cold-blooded animals

A Penn State-led research team developed a statistical method to predict the effects of climate change on cold-blooded animals. The Physiologically Guided Abundance Model (PGA Model) combines field and laboratory data to forecast species geographical distributions and abundance in response to warming temperatures.

SourcePenn State·JournalProceedings of the National Academy of Sciences·TypeComputational simulation/modeling·DateApr 3, 2023

Mathematical model provides bolt of understanding for lightning-produced X-rays

A Penn State-led team has discovered a new physical mechanism explaining naturally occurring X-rays associated with lightning activity in the Earth's atmosphere. The researchers developed a mathematical model that explains how electric fields amplify electrons, driving the phenomenon of relativistic runaway discharges in air.

SourcePenn State·JournalGeophysical Research Letters·TypeData/statistical analysis·DateMar 31, 2023

Spotting the brightest gamma-ray burst ever recorded

The Swift Observatory team, led by Maia Williams, detected the brightest gamma-ray burst ever recorded, GRB 221009A. The burst was incredibly bright and had an afterglow that was more than 10 times brighter than any previous observation.

SourcePenn State·JournalThe Astrophysical Journal Letters·TypeObservational study·DateMar 28, 2023

New soil sensor may improve efficiency of crop fertilization

A new soil sensor has been developed to accurately measure temperature and nitrogen levels in soil, enabling farmers to optimize fertilizer use and reduce environmental pollution. The sensor can decouple temperature and nitrogen signals, allowing for precise monitoring of crop health and growth.

SourcePenn State·JournalAdvanced Materials·TypeExperimental study·DateMar 28, 2023

Study: Mapping people’s knowledge of bees may aid in pollinator conservation

A recent study found that U.S. college students have low awareness of wild bee species, with their knowledge focusing primarily on honey bees and pollination services. The researchers suggest that education alone may not be enough to produce attitude and behavior change, and propose a novel approach using semantic network analysis and ...

SourcePenn State·JournalConservation Science and Practice·TypeSurvey·DateMar 23, 2023

Discovery of root anatomy gene may lead to breeding more resilient corn crops

A new discovery identified a gene encoding a transcription factor that triggers the development of root cortical aerenchyma, enabling corn roots to capture more water and nutrients from dry soil. This trait results in air passages forming in the roots, making them metabolically cheaper and more efficient in exploring the soil.

SourcePenn State·JournalProceedings of the National Academy of Sciences·TypeExperimental study·DateMar 17, 2023

New model provides improved air-quality predictions in fire-prone areas

Researchers developed a deep learning model that provides improved predictions of air quality in wildfire-prone areas, distinguishing between wildfires and non-wildfires. The ST-Transformer model uses sparse attention to prioritize relevant information and captures trends associated with wildfires.

SourcePenn State·JournalScience of The Total Environment·TypeComputational simulation/modeling·DateMar 14, 2023

Underused satellite, radar data may improve thunderstorm forecasts

A new technique combining underused satellite and radar data in weather models may improve thunderstorm predictions by capturing a more accurate picture of initial conditions in the boundary layer. This technique showed promise in improving forecasts of convection initiation, several hours before the thunderstorms occurred.

SourcePenn State·JournalMonthly Weather Review·TypeData/statistical analysis·DateMar 9, 2023