Publications by authors named "Gaolei Li"
The bottom-up synthesis of discrete tubular molecules that mimic the structural features of carbon nanotubes has been a long-standing pursuit for synthetic chemists. As the shortest segments of armchair-type carbon nanotubes, cycloparaphenylenes are regarded as ideal macrocyclic building blocks for achieving this goal. Here we report the synthesis of a helical tubular molecule featuring three diyne linkers between two site-specifically functionalized [9]cycloparaphenylenes.
View Article and Find Full Text PDFSpatially Covariant Image Registration With Text Prompts.
IEEE Trans Neural Netw Learn Syst
September 2024
Article Synopsis
- Medical images typically show detailed anatomy and variable contrast, and using anatomical knowledge in neural networks can improve their effectiveness in clinical environments with limited resources.
- The study introduces a method called textSCF, which combines spatially covariant filters with text-based prompts that describe anatomy, optimizing the relationship between text descriptions and filter weights for better image registration.
- textSCF has been tested on brain MRI and abdominal CT images, outperforming other models in registration tasks, specifically showing a significant improvement in accuracy and efficiency compared to previous technologies.
As the power performance of electric vehicles continues to improve, the human body may be exposed to electromagnetic threats in the cabin. This study tested an electric vehicle to analyze the low-frequency magnetic field distribution in the cabin and to assess the safety of human low-frequency magnetic field exposure. A simulation analysis of human electromagnetic exposure was carried out to obtain the magnetic flux density, induced electric field strength and induced current density, and the test results were much lower than the limits specified in GB8702-2014 and the International Commission on Non-Ionizing Radiation Protection, and the relative error between the simulation results and the test results was <15%.
View Article and Find Full Text PDFArticle Synopsis
- Researchers studied how the SARS-CoV-2 virus replicates and affects the immune system by comparing mRNA and long non-coding RNAs in lung cells infected with two virus strains: the wild-type (8X) and a variant with a deletion (F8).
- They identified nearly 4,000 differentially expressed genes and found specific differences between the two strains, focusing on immune-related pathways like TNF signaling.
- This research helps understand the differences in how these virus strains replicate and elicit immune responses, which is important for studying COVID-19 variants.
Background: The outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Wuhan, China, rapidly grew into a global pandemic. How SARS-CoV-2 evolved remains unclear.
Methods: We performed a comprehensive analysis using the available genomes of SARS-CoV-2 and its closely related coronaviruses.
In this paper, the Ricker family (a population model) with quasiperiodic excitation is considered. The existence of strange nonchaotic attractors (SNAs) is analyzed in a co-dimension-2 parameter space by both theoretical and numerical methods. We prove that SNAs exist in a positive measure parameter set.
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