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Researchers' findings include junior women scientists receive less NIH funding and face lower tenure rates, with only 20% achieving tenure compared to nearly 40% of men, underscoring ongoing inequities in biomedical research careers.
A research team used hyperspectral data and deep convolution generative adversarial networks (DCGANs) to improve the accuracy of rice grain protein content (GPC) estimation. By generating simulated data, they enhanced the model's performance, achieving an R² of 0.58 and RRMSE of 6.70%.
A research team developed the Point-Line Net, a deep learning method based on the Mask R-CNN framework, to automatically recognize maize field images and determine the number and growth trajectory of leaves and stalks.
A research team developed the DEKR-SPrior model to improve high-throughput phenotyping of soybean pods and seeds.
New research finds that ab initio methods using effective field theory can be used to study the scattering of protons and neutrons off atomic nuclei. The research specifically examined the scattering of protons from carbon-12 and oxygen-16 at low energies.
Improvements to the lab’s “electron camera” use AI and “time stamping” to help reveal nature’s speedy processes more accurately.
In research published in Nature Mental Health this month, researchers at Washington University in St. Louis outline the intermediate biological steps that could play into how prenatal cannabis exposure leads to behavioral issues down the line.
This year’s match results show that only 91.8% of pediatric residency slots were successfully filled by programs compared to a higher percentage in years past. This ongoing outcome has many physicians in the field worried about the declining interest in pediatric subspecialties.
As the world’s largest unfrozen freshwater resource, groundwater is crucial for life on Earth. Researchers at the Karlsruhe Institute of Technology (KIT) have investigated how global warming is affecting groundwater temperatures and what that means for humanity and the environment.
Researchers from Hubei Minzu University and Wuhan University have further advanced CRD-CGAN, an AI model that generates detailed and varied images from text, offering enhanced applications in sectors like digital marketing and virtual reality.
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