Various aspects of nativity, including immigration status, affect noncitizens’ health outcomes. However, major health datasets in the United States lack information about immigration status due to three concerns: low response rates, invalid responses and legal challenges for participants. Researchers have now demonstrated that these three claims are unsubstantiated and can be mitigated, highlighting the need for national health surveys to inquire about immigration status to address health inequities among various immigrant subgroups.

Described in the cover article of this month's Science Robotics, Caltech's innovative algorithm called Spectral Expansion Tree Search helps autonomous robotic systems make optimal choices on the move.

Can insights from topology---the study of the properties of 3D objects that persist when an object is stretched or compressed---be applied in the field of quantum information processing? Juan Lin, Shou-Bang Yang, Fan Wu, and Zhen-Biao Yang, researchers at Fuzhou University, China, believe so. Accordingly, they studied changes in the first Chern number, a topological invariant, in connection with a Kerr nonlinear oscillator. Their research was published August 5 in Intelligent Computing, a Science Partner Journal, in an article titled “Topological Transitions in a Kerr Nonlinear Oscillator.”

A new AI method enables the generation of sharp, high-quality 3D shapes that are closer to the quality of the best 2D image models. Previous approaches typically generated blurry or cartoonish 3D shapes.

Lung cancer is emerging as a public health crisis. Yet, there is limited information on the lifetime risk of developing and dying from lung cancer at global, regional, and national levels. To bridge this gap, researchers from China estimated the lifetime risk of lung cancer across 185 countries in 2022. Their findings reveal the diverse impact of lung cancer across countries, sexes, and age groups, highlighting the need for more targeted interventions.