Hepatocellular carcinoma is prone to invasion and metastasis.It often receives a low diagnosis rate in the early stage but has an extremely high mortality rate.Epithelial-mesenchymal transformation(EMT)is a key factor...Hepatocellular carcinoma is prone to invasion and metastasis.It often receives a low diagnosis rate in the early stage but has an extremely high mortality rate.Epithelial-mesenchymal transformation(EMT)is a key factor in promoting tumor cell invasion and metastasis.Circular RNA(circRNA)is involved in regulating EMT in hepatocarcinoma cells through multiple pathways,thereby affecting the occurrence and progression of hepatocellular carcinoma.This article mainly reviews the research progress of circRNA related to EMT core transcription factors,circRNA that promotes EMT in liver cancer,and circRNA that inhibits EMT in liver cancer.展开更多
为进一步提升无人机遥感快速监测覆膜条件下冬小麦叶面积指数(Leaf area index,LAI)的能力,以垄沟覆膜冬小麦为研究对象,利用无人机搭载五通道多光谱传感器获取2021—2022年冬小麦出苗期、越冬期、返青期、拔节期、抽穗期和灌浆期的遥...为进一步提升无人机遥感快速监测覆膜条件下冬小麦叶面积指数(Leaf area index,LAI)的能力,以垄沟覆膜冬小麦为研究对象,利用无人机搭载五通道多光谱传感器获取2021—2022年冬小麦出苗期、越冬期、返青期、拔节期、抽穗期和灌浆期的遥感影像数据,使用监督分类剔除背景并计算50种可见光和近红外植被指数,采用主成分分析、相关系数法、决策树排序和遗传算法进行特征降维,结合偏最小二乘、岭回归、支持向量机、随机森林、梯度上升和人工神经网络6种机器学习算法建立不同输入特征变量下的覆膜冬小麦LAI反演模型,并进行精度评价。结果表明,剔除覆膜背景使冬小麦冠层反射率更接近真实值,提高反演精度。采用适宜的特征降维方法结合机器学习算法能够提高覆膜冬小麦LAI的反演精度和稳定性,对比特征降维前的反演精度,主成分分析和相关系数法无法优化反演效果,决策树排序只适用于基于树模型的随机森林和梯度上升算法,遗传算法优化效果明显,遗传算法-人工神经网络模型反演效果达到最优(决定系数为0.80,均方根误差为1.10,平均绝对值误差为0.69,偏差为1.25%)。研究结果可为无人机遥感监测覆膜冬小麦生长状况提供理论参考。展开更多
Diabetic nephropathy(DN)accounts for approximately 20-40%of diabetic patients.It is one of the most common microvascular complications of diabetes and an important cause of end-stage renal disease(ESRD).Renal biopsy h...Diabetic nephropathy(DN)accounts for approximately 20-40%of diabetic patients.It is one of the most common microvascular complications of diabetes and an important cause of end-stage renal disease(ESRD).Renal biopsy histopathology is an important means for early clinical diagnosis of DN,but because it is an invasive examination,it is not easily accepted by patients due to risks such as bleeding,infection,and thrombosis.Therefore,finding new biomarkers for diagnosing DN is of great significance for early treatment and improving patient prognosis.MicroRNA(miRNA)is a type of highly conserved endogenous non-coding RNA.More and more studies have shown that miRNA is involved in the pathological process of DN and renal fibrosis.This article summarizes the relevant research on miRNA in DN.展开更多
基金Medical Research Project of Xi’an Science and Technology Bureau(Project No.22YXYJ0134)。
文摘Hepatocellular carcinoma is prone to invasion and metastasis.It often receives a low diagnosis rate in the early stage but has an extremely high mortality rate.Epithelial-mesenchymal transformation(EMT)is a key factor in promoting tumor cell invasion and metastasis.Circular RNA(circRNA)is involved in regulating EMT in hepatocarcinoma cells through multiple pathways,thereby affecting the occurrence and progression of hepatocellular carcinoma.This article mainly reviews the research progress of circRNA related to EMT core transcription factors,circRNA that promotes EMT in liver cancer,and circRNA that inhibits EMT in liver cancer.
文摘为进一步提升无人机遥感快速监测覆膜条件下冬小麦叶面积指数(Leaf area index,LAI)的能力,以垄沟覆膜冬小麦为研究对象,利用无人机搭载五通道多光谱传感器获取2021—2022年冬小麦出苗期、越冬期、返青期、拔节期、抽穗期和灌浆期的遥感影像数据,使用监督分类剔除背景并计算50种可见光和近红外植被指数,采用主成分分析、相关系数法、决策树排序和遗传算法进行特征降维,结合偏最小二乘、岭回归、支持向量机、随机森林、梯度上升和人工神经网络6种机器学习算法建立不同输入特征变量下的覆膜冬小麦LAI反演模型,并进行精度评价。结果表明,剔除覆膜背景使冬小麦冠层反射率更接近真实值,提高反演精度。采用适宜的特征降维方法结合机器学习算法能够提高覆膜冬小麦LAI的反演精度和稳定性,对比特征降维前的反演精度,主成分分析和相关系数法无法优化反演效果,决策树排序只适用于基于树模型的随机森林和梯度上升算法,遗传算法优化效果明显,遗传算法-人工神经网络模型反演效果达到最优(决定系数为0.80,均方根误差为1.10,平均绝对值误差为0.69,偏差为1.25%)。研究结果可为无人机遥感监测覆膜冬小麦生长状况提供理论参考。
基金Medical Research Project of Xi’an Science and Technology Bureau(23YXYJ0111)。
文摘Diabetic nephropathy(DN)accounts for approximately 20-40%of diabetic patients.It is one of the most common microvascular complications of diabetes and an important cause of end-stage renal disease(ESRD).Renal biopsy histopathology is an important means for early clinical diagnosis of DN,but because it is an invasive examination,it is not easily accepted by patients due to risks such as bleeding,infection,and thrombosis.Therefore,finding new biomarkers for diagnosing DN is of great significance for early treatment and improving patient prognosis.MicroRNA(miRNA)is a type of highly conserved endogenous non-coding RNA.More and more studies have shown that miRNA is involved in the pathological process of DN and renal fibrosis.This article summarizes the relevant research on miRNA in DN.
