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To combat false news, correct after reading

Researchers found that fact-checking labels, when attached to online news headlines, are more effective when shown immediately after participants read the headlines. This approach reduced people's misclassification of those headlines by 25.3 percent, compared to 8.6 percent and 5.7 percent with other timing methods.

SourceMassachusetts Institute of Technology·JournalProceedings of the National Academy of Sciences·DateJan 26, 2021

Climate-related species extinction possibly mitigated by newly discovered effect

A new study led by Universität Bayreuth researchers found that future climate-related species extinction could be less severe than predictions based only on current global warming trends. The research team used palaeobiological and climate science models to investigate how long-term temperature trends and short-term changes affect spec...

SourceUniversität Bayreuth·JournalNature Ecology & Evolution·DateJan 20, 2021

Fast decisions of flying insects

Scientists are using brain recordings, flight analyses, and computational modeling to uncover the neural mechanisms behind insect decision-making. The study aims to inform autonomous robotics, computational neuroscience, and other fields by understanding how insects utilize movement to simplify information sampling.

Blue-light stride in perovskite-based LEDs

Researchers at Linköping University have developed efficient blue light-emitting diodes based on mixed halide perovskites, achieving stable emission in the deep blue to sky blue range. The new LEDs are made using the vapour-assisted crystallisation technique and exhibit an energy efficiency of up to 11%.

SourceLinköping University·JournalNature Communications·DateJan 13, 2021

New promising antibodies against SARS-CoV-2

Researchers at the University of Bonn have developed four nanobodies that effectively target the spike protein of SARS-CoV-2, offering a promising therapeutic option. These nanobodies can be produced in large quantities and are less likely to cause unwanted complications, making them an attractive alternative to traditional antibodies.

SourceUniversity of Bonn·JournalScience·DateJan 12, 2021

Concerning drop in the number of people with mental health problems seeking help revealed

Research reveals a significant drop in people seeking help for mental illness and self-harm during the first UK lockdown, with treatment gaps greatest for working-age individuals and those from deprived areas. The study found that anxiety disorders decreased by 47.8% and antidepressant prescriptions dropped by 36.4%.

Use of telehealth jumped as pandemic shutdown began

The study found that almost half of people undergoing treatment when the pandemic began reported using some form of telemedicine. Researchers also noted that use of telehealth for behavioral health conditions was lower among women, older adults, and those with less than a high school education.

SourceRAND Corporation·JournalJournal of General Internal Medicine·DateJan 11, 2021

When salespeople advocate for sellers and customers

A new study published in the Journal of Marketing suggests that salespeople should balance advocacy for the seller with advocacy for the customer. The research team found that high levels of both customer and seller advocacy lead to superior outcomes for both firms. Sellers are advised to encourage salesperson dual agency to their adva...

SourceAmerican Marketing Association·JournalJournal of Marketing·DateJan 8, 2021

A dynamical world undergrund

A new research group at the University of Oldenburg is studying subsurface processes on North Sea beaches with high waves and strong tides. The team aims to assess the importance of these underground habitats for coastal ecosystems and global carbon, nutrient, and trace element cycling.

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.

A crystal ball for cold viruses

The VARIPath project aims to develop a 'crystal ball' for predicting disease progression in viral respiratory tract infections. Researchers will analyze virus evolution and host immune response characteristics using high-throughput sequencing techniques. This could lead to personalized treatment strategies and improved prognosis.