Publications by authors named "Shuhe Liu"
Background: This study aims to explore the link between depression and dysmenorrhea by using an integrated and innovative approach that combines genomic, transcriptomic, and protein interaction data/information from various resources.
Methods: A two-sample, bidirectional, and multivariate Mendelian randomization (MR) approach was applied to determine causality between dysmenorrhea and depression. Genome-wide association study (GWAS) data were used to identify genetic variants associated with both dysmenorrhea and depression, followed by colocalization analysis of shared genetic influences.
Article Synopsis
- Multicomponent oxides are important for catalysis, especially at the interfaces between different components, but their impact on catalytic processes isn't fully understood.
- Researchers have designed a unique MnCoO catalyst that combines Mn ions with Co oxides for better performance in ethane oxidation, revealing a specific Mn/Co ratio of 0.5 that enhances activity and stability for up to 1000 hours in humid conditions.
- The study highlights the synergistic effects of MnO and MnCoO, demonstrating that CH molecules adsorb on Co sites and effectively break C-H bonds, offering insights for creating better catalysts for burning alkanes.
Deep Learning for Microfluidic-Assisted Multi-Parameter Identification Using YOLOv7.
Micromachines (Basel)
June 2023
The is an ideal model organism for studying human diseases and genetics due to its transparency and suitability for optical imaging. However, manually sorting a large population of for experiments is tedious and inefficient. The microfluidic-assisted sorting chip is considered a promising platform to address this issue due to its automation and ease of operation.
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