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A research team has developed an advanced smart surveillance system that leverages deep learning and autonomous robotics to monitor tomato plant growth in greenhouses.
The inner crust of a neutron star is characterized by the presence of a neutron superfluid. To accurately predict the properties of neutron matter in this state, researchers make theoretical calculations that typically assume that neutrons form “Cooper pairs.” This study used artificial neural networks to make accurate predictions without relying on this assumption.
A new report, released by the Center for Health Workforce Studies at the University at Albany’s College of Integrated Health Sciences, indicates that improving access to oral health services in New York State requires a broader understanding of oral health needs and the challenges that underserved populations face.
The International Space Station research project will examine microgravity’s effect on heart tissue and is designed to better understand how microgravity affects the function of the human heart.
Environmental sustainability isn’t a major factor influencing meat consumption decisions for most Americans, despite increasing awareness of the climate impacts of red meat production, according to Rutgers researchers.
What will my grocery bill be this holiday season?
Cleveland Clinic researchers are presenting updated findings from their novel study of a vaccine aimed at preventing triple-negative breast cancer, the most aggressive and lethal form of the disease. The study team found that the investigational vaccine was generally well tolerated and produced an immune response in most patients. The team described the side effects of the vaccine, showed the highest tolerated dose to date, and presented the immunologic effects of the vaccine. Findings are being presented at the Society for Immunotherapy of Cancer Annual Meeting.
Researchers at UC San Diego identify a key pathway leading to neurodegeneration in early stages of ALS, hinting at the potential for short-circuiting the progression of the fatal disease if diagnosed early.
Using climate records spanning the past 1.2 million years, the team reconstructed deep ocean properties that are crucial for understanding the ocean’s flow and carbon sequestration capabilities.
To understand the workings of DNA in relation to disease, scientists at Los Alamos National Laboratory have developed the first multimodal deep learning model of its kind, EPBDxDNABERT-2, capable of ascertaining the precise relationship between transcription factors, proteins that regulate gene activities, leveraging an aspect of DNA called DNA breathing, in which the double-helix structure opens and closes spontaneously. The model has the potential to aid in the design of drugs used to treat diseases that originate in gene activity.
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