A detailed and accurate inventory map of landslides is crucial for quantitative hazard assessment and land planning.Traditional methods relying on change detection and object-oriented approaches have been criticized f...A detailed and accurate inventory map of landslides is crucial for quantitative hazard assessment and land planning.Traditional methods relying on change detection and object-oriented approaches have been criticized for their dependence on expert knowledge and subjective factors.Recent advancements in highresolution satellite imagery,coupled with the rapid development of artificial intelligence,particularly datadriven deep learning algorithms(DL)such as convolutional neural networks(CNN),have provided rich feature indicators for landslide mapping,overcoming previous limitations.In this review paper,77representative DL-based landslide detection methods applied in various environments over the past seven years were examined.This study analyzed the structures of different DL networks,discussed five main application scenarios,and assessed both the advancements and limitations of DL in geological hazard analysis.The results indicated that the increasing number of articles per year reflects growing interest in landslide mapping by artificial intelligence,with U-Net-based structures gaining prominence due to their flexibility in feature extraction and generalization.Finally,we explored the hindrances of DL in landslide hazard research based on the above research content.Challenges such as black-box operations and sample dependence persist,warranting further theoretical research and future application of DL in landslide detection.展开更多
A retrospective analysis was made on the lipid level and management of those patients who experienced coronary angiography for suspected coronary artery disease and those who suffered from acute myocardial infarction ...A retrospective analysis was made on the lipid level and management of those patients who experienced coronary angiography for suspected coronary artery disease and those who suffered from acute myocardial infarction admitted to our department from 1994 to 1997. It revealed: ①Incidence of elevated serum lipids (especially total cholesterol) was higher in patients with CHD than those without CHD; ② No significant difference of serum lipids in patients with single or multi vessel disease was seen except higher serum lipids in patients with multi vessel disease; ③Management for elevated lipid in our cases was not active, even neglected in our clinic practice. Attention should be paid on these problems.展开更多
基金supported by the National Key Research and Development Program of China(2021YFB3901205)the National Institute of Natural Hazards,Ministry of Emergency Management of China(2023-JBKY-57)。
文摘A detailed and accurate inventory map of landslides is crucial for quantitative hazard assessment and land planning.Traditional methods relying on change detection and object-oriented approaches have been criticized for their dependence on expert knowledge and subjective factors.Recent advancements in highresolution satellite imagery,coupled with the rapid development of artificial intelligence,particularly datadriven deep learning algorithms(DL)such as convolutional neural networks(CNN),have provided rich feature indicators for landslide mapping,overcoming previous limitations.In this review paper,77representative DL-based landslide detection methods applied in various environments over the past seven years were examined.This study analyzed the structures of different DL networks,discussed five main application scenarios,and assessed both the advancements and limitations of DL in geological hazard analysis.The results indicated that the increasing number of articles per year reflects growing interest in landslide mapping by artificial intelligence,with U-Net-based structures gaining prominence due to their flexibility in feature extraction and generalization.Finally,we explored the hindrances of DL in landslide hazard research based on the above research content.Challenges such as black-box operations and sample dependence persist,warranting further theoretical research and future application of DL in landslide detection.
文摘A retrospective analysis was made on the lipid level and management of those patients who experienced coronary angiography for suspected coronary artery disease and those who suffered from acute myocardial infarction admitted to our department from 1994 to 1997. It revealed: ①Incidence of elevated serum lipids (especially total cholesterol) was higher in patients with CHD than those without CHD; ② No significant difference of serum lipids in patients with single or multi vessel disease was seen except higher serum lipids in patients with multi vessel disease; ③Management for elevated lipid in our cases was not active, even neglected in our clinic practice. Attention should be paid on these problems.
