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CLEC3A gene three polymorphisms and risk of gastric cancer in Northwestern Chinese population
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作者 PING YANG lijuan yuan +4 位作者 SHUJIA PENG YANMING DONG LIN YANG XI’E HU GUOQIANG BAO 《BIOCELL》 SCIE 2021年第1期103-108,共6页
This study aimed to evaluate the association between the CLEC3A gene polymorphisms(rs2735401/rs2293776/rs2072665)and the gastric cancer risk in the Northwestern Chinese population.A hospital-based case-control study w... This study aimed to evaluate the association between the CLEC3A gene polymorphisms(rs2735401/rs2293776/rs2072665)and the gastric cancer risk in the Northwestern Chinese population.A hospital-based case-control study was conducted on 681 cases and 756 healthy controls.Odds ratio(OR)and 95%confidence intervals(CI)were applied to evaluate the association of the CLEC3A polymorphisms on gastric cancer risk.We found that there was no significant association between the CLEC3A polymorphisms and gastric cancer susceptibility,which was detected in the main analysis or stratification analyses of age,gender,and clinical stages.Our findings verified that the CLEC3A polymorphisms are not associated with gastric cancer susceptibility in the Northwestern Chinese population;other polymorphisms should be investigated to further clarify the susceptibility to gastric cancer. 展开更多
关键词 CELC3A gastric cancer RISK single nucleotide polymorphisms
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Fine-Scale Quantification of Absorbed Photosynthetically Active Radiation(APAR)in Plantation Forests with 3D Radiative Transfer Modeling and LiDAR Data
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作者 Xun Zhao Jianbo Qi +2 位作者 Zhexiu Yu lijuan yuan Huaguo Huang 《Plant Phenomics》 SCIE EI CSCD 2024年第2期401-415,共15页
Quantifying the relationship between light and stands or individual trees is of great significance in understanding tree competition,improving forest productivity,and comprehending ecological processes.However,accurat... Quantifying the relationship between light and stands or individual trees is of great significance in understanding tree competition,improving forest productivity,and comprehending ecological processes.However,accurately depicting the spatiotemporal variability of light under complex forest structural conditions poses a challenge,especially for precise forest management decisions that require a quantitative study of the relationship between fine-scale individual tree structure and light.3D RTMs(3-dimensional radiative transfer models),which accurately characterize the interaction between solar radiation and detailed forest scenes,provide a reliable means for depicting such relationships. 展开更多
关键词 quantification LIDAR ACTIVE MODELING apar data CALL with absorbed fine-scale
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