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Novel algorithm reveals birdsong features that may be key for courtship

Researchers have developed an algorithm to identify features of male zebra finch songs underpinning the distinction between courtship and non-courtship contexts. The study suggests a potential for 'bottom-up' approaches to drive discovery in vocal communication, uncovering previously unidentified features.

SourcePLOS·JournalPLOS Computational Biology·DateApr 8, 2021

New CABI research confirms presence of highly invasive apple snail in Kenya

Scientists at CABI have confirmed the presence of the highly invasive apple snail (Pomacea canaliculata) in Kenya, posing a significant threat to the country's rice production. The discovery was made through DNA barcoding analyses and confirms the species' potential to spread further, highlighting the need for strict quarantine measures.

SourceCABI·JournalCABI Agriculture and Bioscience·DateMar 24, 2021

New statistical model predicts which cities could become 'superspreaders'

A new statistical model identifies potential superspreader cities by incorporating both connectivity between cities and their varying suitability for infection. The risk of a city becoming a superspreader increases with infection suitability only up to a certain extent, but risk increases indefinitely with increased connectivity.

SourcePLOS·JournalPLOS Computational Biology·DateMar 18, 2021

Hyperpolarized proton MRI used to observe metabolic processes in real time

A new hyperpolarized proton MRI method has been developed by researchers at Johannes Gutenberg University Mainz and the Helmholtz Institute Mainz. This technique uses parahydrogen to track biochemical processes in real-time, enabling the observation of metabolic processes without the drawbacks of existing hydrogen-based imaging methods.

SourceJohannes Gutenberg Universitaet Mainz·JournalAngewandte Chemie International Edition·DateMar 11, 2021

'PopDel' detects deletions in our genomes

Researchers developed PopDel, a program that reliably identifies large deletions in thousands of genomes simultaneously. The software outperformed existing methods, detecting rare gene variants associated with healthy lipid metabolism.

SourceBIH at Charité·JournalNature Communications·DateMar 4, 2021

Development of an electroceutical to drastically reduce high-risk, preterm labor

A non-invasive electroceutical developed to detect early preterm labor and suppress uterine contractions. The device uses a donut-shaped electrode inserted into the cervix to sense signals of uterine contractions, providing a potential breakthrough in preventing premature birth.

SourceNational Research Council of Science & Technology·JournalIEEE Transactions on Neural Systems and Rehabilitation Engineering·DateFeb 25, 2021

Rethink immigration policy for STEM doctorates

A new study from Cornell University and UC San Diego finds that international STEM doctoral students graduating from US universities face a complex and inefficient path to permanent residency, with most following a guest worker visa before obtaining a green card. The researchers argue that this process should be treated differently due...

SourceCornell University·JournalScience·DateJan 21, 2021

How to keep drones flying when a motor fails

Researchers at the University of Zurich have developed a solution to stabilize drones when one motor fails, using onboard camera information. The team equipped quadcopters with standard and event cameras, which enable the drone to estimate its position in space despite high-speed rotation. This innovation improves flight safety in area...

SourceUniversity of Zurich·JournalIEEE Robotics and Automation Letters·DateJan 13, 2021

African American youth who receive positive messages about their racial group may perform better in school

A new longitudinal study published in Child Development found that African American youth who receive positive messages about their racial group in school achieve better grades one to two years later. The study suggests that a positive sense of community and interdependence is key to success for these students.

SourceSociety for Research in Child Development·JournalChild Development·DateDec 16, 2020

Toward clinical application of a generalizable brain marker of major depressive disorder

A novel harmonization method was used to develop a generalizable brain network marker for major depressive disorder (MDD), based on resting-state fMRI data. The marker achieved approximately 70% generalization accuracy for an independent validation dataset, demonstrating its potential for clinical applications.