High-tech video optimization in our brain
Peer-Reviewed Publication
Updates every hour. Last Updated: 19-Jun-2025 09:10 ET (19-Jun-2025 13:10 GMT/UTC)
A new mathematical model sheds light on how the brain processes different cues, such as sights and sounds, during decision making. The findings from Princeton neuroscientists may one day improve how brain circuits go awry in neurological disorders, such as Alzheimer’s, and could help artificial brains, like Alexa or self-driving car technology, more helpful.
The continued intensification of global warming has made extreme heat events an increasingly severe threat to crop production. Cotton, as a globally important economic crop and a strategic pillar of China’s textile industry, faces significant challenges from frequent extreme high-temperature events during the summer. The high overlap between extreme heat and the blooming and boll-setting stages of cotton leads to issues such as pollen inactivation, anther non-dehiscence, and bud and boll shedding, severely affecting cotton yield and quality. This has become a critical bottleneck restricting the high-quality development of the cotton industry. Therefore, breeding heat-tolerant cotton capable of withstanding high-temperature stress has become an urgent need in the field of crop breeding.
Incorporating trace amounts of Cu atoms into n-type Bi2(Te, Se)3 simultaneously realizes lattice plainification and band structure engineering, thus substantially facilitating thermoelectric transport and leading to excellent device efficiencies.