Publications by authors named "Yannan Qi"
Article Synopsis
- Pear anthracnose, caused by Colletotrichum bacteria, significantly hinders pear tree growth and fruit yield, making early detection crucial to minimize economic losses.
- This study employed hyperspectral imaging (HSI) to identify the disease before symptoms appeared, utilizing techniques like the Successive Projection Algorithm (SPA) and Random Forest (RF) to extract and analyze spectral features and vegetation indices.
- The best classification model combined multiple features using machine learning algorithms, achieving a 98.61% accuracy rate in detecting early anthracnose, highlighting the effectiveness of HSI for monitoring pear tree health.
Efficient and precise thinning during the orchard blossom period is a crucial factor in enhancing both fruit yield and quality. The accurate recognition of inflorescence is the cornerstone of intelligent blossom equipment. To advance the process of intelligent blossom thinning, this paper addresses the issue of suboptimal performance of current inflorescence recognition algorithms in detecting dense inflorescence at a long distance.
View Article and Find Full Text PDFFree fatty acids (FFAs) hepatic accumulation and the resulting oxidative stress contribute to several chronic liver diseases including nonalcoholic steatohepatitis. However, the underlying pathological mechanisms remain unclear. In this study, we propose a novel mechanism whereby the toxicity of FFAs detrimentally affects DNA repair activity.
View Article and Find Full Text PDFThe expression of O-GlcNAc transferase (OGT) and its catalytic product, O-GlcNAcylation (O-GlcNAc), are elevated in many types of cancers, including prostate cancer (PC). Inhibition of OGT serves as a potential strategy for PC treatment alone or combinational therapy. PC is the second common cancer type in male worldwide, for which chemotherapy is still the first-line treatment.
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