Mei Yang

Jan 10, 2025 | nature.com | Mei Yang

AbstractThe negative effects of lead exposure on human health have attracted widespread attention. Our present study focused on assessing the relationship between urinary lead levels (ULL) and the risk of kidney stones in US adults. We used data from NHANES 2007–2018 for this cross-sectional study, where participants had complete data on ULL and kidney stones. The correlation between ULL and kidney stones was explored by weighted multiple logistic regression analysis.

Dec 21, 2024 | mdpi.com | Mei Yang

This is an early access version, the complete PDF, HTML, and XML versions will be available soon.

Nov 4, 2024 | nature.com | Dongxu Li |Baoshan Li |Qi Li |Yueming Wang |Mei Yang |Mingshuo Han

In farming scenarios, cattle identification has become a key issue for the development of precision farming. In precision livestock farming, single-feature recognition methods are prone to misjudgment in complex scenarios involving multiple cattle obscuring each other during drinking and feeding. This paper proposes a decision-level identification method based on the multi-feature fusion of cattle faces, muzzle patterns, and ear tags. The method utilizes the SOLO algorithm to segment images and employs the FaceNet and PP-OCRv4 networks to extract features for the cattle’s faces, muzzle patterns, and ear tags. These features are compared with the Ground truth, from which the Top 3 features are extracted. The corresponding cattle IDs of these features are then processed using One-Hot encoding to serve as the final input for the decision layer, and various ensemble strategies are used to optimize the model. The results show that using the multimodal decision fusion method makes the recognition accuracy reach 95.74%, 1.4% higher than the traditional optimal unimodal recognition accuracy. The verification rate reaches 94.72%, 10.65% higher than the traditional optimal unimodal recognition verification rate. The research results demonstrate that the multi-feature fusion recognition method has significant advantages in drinking and feeding farm environments, providing an efficient and reliable solution for precise identification and management of cattle in farms and significantly improving recognition accuracy and stability.

Oct 3, 2024 | journals.plos.org | Fangying Chen |Mei Yang |Hao Wang |Lian Liu

DiscussionThis study conducted a comprehensive investigation to examine the association between high blood eosinophils and the risk of exacerbation in patients with COPD. The findings revealed that this association varied across different thresholds (200, 300, 400 cells/μL and 2%, 3%, 4%) and factors (including different regions, phases of COPD, and follow-up time).

Aug 15, 2024 | dx.doi.org | Ya Zhang |Wenhao Ma |Ning Li |Mei Yang