Publications by authors named "Baihao Lin"
Article Synopsis
- The study explores the relationship between pulmonary toxicity from polycyclic aromatic hydrocarbons (PAHs) and the potential modifying role of vitamin D, specifically in the context of early signs of chronic obstructive pulmonary disease (COPD).
- Using data from the NHANES 2007-2012, the researchers analyzed how PAHs negatively impact lung function and how vitamin D levels could counteract these effects among participants, particularly those with early lung dysfunction.
- Results indicate that higher vitamin D levels are associated with better lung function and lower risk of early lung dysfunction, suggesting that vitamin D may mediate some negative impacts of PAHs through metabolic mechanisms.
Article Synopsis
- - The study investigates how inflammatory (DII) and antioxidant (CDAI) dietary patterns relate to early signs of Chronic Obstructive Pulmonary Disease (COPD) and how metabolic disorders might influence these associations, using data from over 9,500 individuals in a national health survey.
- - Results show a higher DII correlates with worse lung function and increased metabolic issues, while a higher CDAI is linked to better lung function and fewer metabolic problems, suggesting that the dietary antioxidant intake can mitigate the negative impacts of an inflammatory diet.
- - The analysis reveals that metabolic indicators like Triglyceride-glucose index (TyG) play a role in mediating the relationships between these dietary patterns and lung function outcomes
The high-altitude real-time inspection of unmanned aerial vehicles (UAVs) has always been a very challenging task. Because high-altitude inspections are susceptible to interference from different weather conditions, interference from communication signals and a larger field of view result in a smaller object area to be identified. We adopted a method that combines a UAV system scheduling platform with artificial intelligence object detection to implement the UAV automatic inspection technology.
View Article and Find Full Text PDFThe combination of unmanned aerial vehicles (UAVs) and artificial intelligence is significant and is a key topic in recent substation inspection applications; and meter reading is one of the challenging tasks. This paper proposes a method based on the combination of YOLOv5s object detection and Deeplabv3+ image segmentation to obtain meter readings through the post-processing of segmented images. Firstly, YOLOv5s was introduced to detect the meter dial area and the meter was classified.
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