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Landslide susceptibility assessment in Western Henan Province based on a comparison of conventional and ensemble machine learning 被引量:1
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作者 Wen-geng Cao Yu Fu +4 位作者 Qiu-yao Dong hai-gang wang Yu Ren Ze-yan Li Yue-ying Du 《China Geology》 CAS CSCD 2023年第3期409-419,共11页
Landslide is a serious natural disaster next only to earthquake and flood,which will cause a great threat to people’s lives and property safety.The traditional research of landslide disaster based on experience-drive... Landslide is a serious natural disaster next only to earthquake and flood,which will cause a great threat to people’s lives and property safety.The traditional research of landslide disaster based on experience-driven or statistical model and its assessment results are subjective,difficult to quantify,and no pertinence.As a new research method for landslide susceptibility assessment,machine learning can greatly improve the landslide susceptibility model’s accuracy by constructing statistical models.Taking Western Henan for example,the study selected 16 landslide influencing factors such as topography,geological environment,hydrological conditions,and human activities,and 11 landslide factors with the most significant influence on the landslide were selected by the recursive feature elimination(RFE)method.Five machine learning methods[Support Vector Machines(SVM),Logistic Regression(LR),Random Forest(RF),Extreme Gradient Boosting(XGBoost),and Linear Discriminant Analysis(LDA)]were used to construct the spatial distribution model of landslide susceptibility.The models were evaluated by the receiver operating characteristic curve and statistical index.After analysis and comparison,the XGBoost model(AUC 0.8759)performed the best and was suitable for dealing with regression problems.The model had a high adaptability to landslide data.According to the landslide susceptibility map of the five models,the overall distribution can be observed.The extremely high and high susceptibility areas are distributed in the Funiu Mountain range in the southwest,the Xiaoshan Mountain range in the west,and the Yellow River Basin in the north.These areas have large terrain fluctuations,complicated geological structural environments and frequent human engineering activities.The extremely high and highly prone areas were 12043.3 km^(2)and 3087.45 km^(2),accounting for 47.61%and 12.20%of the total area of the study area,respectively.Our study reflects the distribution of landslide susceptibility in western Henan Province,which provides a scientific basis for regional disaster warning,prediction,and resource protection.The study has important practical significance for subsequent landslide disaster management. 展开更多
关键词 Landslide susceptibility model Risk assessment Machine learning Support vector machines Logistic regression Random forest Extreme gradient boosting Linear discriminant analysis Ensemble modeling Factor analysis Geological disaster survey engineering Middle mountain area Yellow River Basin
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Research advances in antiplatelet activation of water soluble compounds in Salvia miltiorrhiza 被引量:5
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作者 hai-gang wang Rui wang +2 位作者 Xiao-yue ZHAO Liang YU Guan-hua DU 《中国药理学与毒理学杂志》 CAS CSCD 北大核心 2018年第4期302-302,共1页
Platelets are fragments of cytoplasm that are released from the mature megakaryocyte of the bone marrow.The main function of platelets is coagulation and hemostasis.Platelets play a central role in formation of pathol... Platelets are fragments of cytoplasm that are released from the mature megakaryocyte of the bone marrow.The main function of platelets is coagulation and hemostasis.Platelets play a central role in formation of pathological thrombosis.Many ischemic diseases are caused by excessive activa.tion of platelets,which can lead to thrombosis and death.Salvia miltiorrhiza Bunge,the dry roots and rhizomes of the Salvia miltiorrhiza plants,includes some water-soluble compounds,which play positive effects on diverse diseases such as neurodegenerative diseases,diabetic complications or cardiovas.cular diseases.In this paper,the components of the water-soluble in Salvia miltiorrhiza,as well as the applications in thrombotic diseases are summarized.The results show that water-soluble compounds include salvianolic acid A,salvianolic acid B,protocatechuic aldehyde,Danshensu,etc.The water-soluble compounds are applied to ischemic stroke,myocardial infarction and other diseases caused by thrombus.We also discussed the mechanisms of water-soluble compounds on the platelets based on our research results and the data obtained from references.The results indicate that water soluble compounds in Salvia miltiorrhiza play the antiplatelet and antithrombotic effects via different mechanisms,for example,salvianolic acid A inhibits platelet aggregation without promoting bleeding by increasing cAMP,inhibiting phosphoinositide 3-kinase(PI3K) and affecting GPCRs(G protein-coupled receptors) signaling path.ways;salvianolic acid B inhibit platelets as a P2Y12 antagonist and PDE inhibitor;Danshensu inhibits platelet activity may be related to inhibition of calcium influx.In conclusion,thrombotic diseases seriously affect human life and health.The existing antiplatelet drugs have some disadvantages.For example,aspirin may cause intracranial hemorrhage,and clopidogrel may play a slower role.Salvia miltiorrhiza as a traditional Chinese medicine has positive pharmacological activity and exerts antiplatelet aggrega.tion through different mechanisms.In the future,we will develop the new drugs which prevent and treat thrombotic diseases with the further study of the pharmacological effects and mechanisms of Salvia miltiorrhiza. 展开更多
关键词 血小板 心血管疾病 治疗方法 临床分析
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Research progress on pharmacological effect and mechanism of baicalein in Parkinson diseases 被引量:3
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作者 Xiao-yue ZHAO hai-gang wang +2 位作者 Qi-meng ZHOU Ping HE Guan-hua DU 《中国药理学与毒理学杂志》 CAS CSCD 北大核心 2018年第4期341-342,共2页
Parkinson disease(PD) is characterized by the loss of dopaminergic neurons in the substantia nigra and deposition of cytosolic inclusions in surviving neurons(Lewy bodies),resulting in motor deficits and non-motor sym... Parkinson disease(PD) is characterized by the loss of dopaminergic neurons in the substantia nigra and deposition of cytosolic inclusions in surviving neurons(Lewy bodies),resulting in motor deficits and non-motor symptoms.Although Levodopa remains the gold standard treatment for PD,side effects like dyskinesia followed by long-term use could notbe ignored.Consequently,there is a need for devel.opment new drugs.Baicalein is a flavonoid isolated from traditional Chinese herb,Scutellaria baicalensis Georgi.Our laboratory discovered that baicalein could effectively attenuate neurotoxicity of 6-hydroxydopamine(6-OHDA) and promote the differentiation of PC12 cells through high throughput drug screen.ing at the cellularlevel.In vivo studies have shown that baicalein exerts significant therapeutic effect,particularly in the attenuation of muscle tremor in 6-OHDA-lesioned rats.Based on the result from the so far acquired knowledge and previous findings from our laboratory,we could consider neuroprotec.tive mechanism of baicalein focus on the activities ofanti-oxidation and anti-inflammation.Baicalein could prevent oxidative stress and apoptosis through maintaining the mitochondrial function,inhibition of collapse of mitochondrial membrane potential,increase the activity of antioxidant enzymes and restraint of lipid peroxidation via several pathways such as Keap1/Nrf2/HO-1.Anti-inflammatory activity of baicalein exert by attenuating activation of astrocyte and microglia,as well as the production of cathepsin B and cytokines.Additionally,promoting the degradation of α-synuclein contributes to the neuroprotective effect of baicalein against Lewy bodies toxicity.Furthermore,baicalein also modulates the metabolic balance between glutamate(GLu) and gamma-aminobutyric acid(GABA).Overall,baica.lein could protect nervous systemby inhibiting oxidative damage and neuroinflammation caused by environmental and genetic factors.This article reviewed the developments of studies on pharmacody.namics and mechanism of baicalein in PD therapy and provideda reference for further exploration. 展开更多
关键词 帕金森病 治疗方法 黄芩素 临床分析
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Investigation and analysis of a fluidized bed dryer by process tomography sensor 被引量:1
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作者 hai-gang wang Yong-Lei Lin Wu-Qiang Yang 《Petroleum Science》 SCIE CAS CSCD 2020年第2期525-536,共12页
In the pharmaceutical industry,fluidized beds are typically used for pellets drying,coating and granulation.The gas-solids flow characteristic in the process plays an important role to control the heat and mass transf... In the pharmaceutical industry,fluidized beds are typically used for pellets drying,coating and granulation.The gas-solids flow characteristic in the process plays an important role to control the heat and mass transfer as well as the end-point product quality.Therefore,it is necessary to investigate the flow characteristics based on advanced measurement technologies.In this research,electrical capacitance tomography(ECT)sensor with eight electrodes was used to investigate the pharmaceutical fluidized bed drying process with different operation conditions.Key process parameters including solids concentration,particle moisture and capacitance signals in the process are given and analysed based on the ECT sensor.In addition,the fluidized bed process with Wurster tube is also investigated based on this ECT sensor.The effect of Wurster tube on the hydrodynamic behaviour and the dominant frequency spectrum distribution in the chamber were analysed based on fast Fourier transform.Test results reveal that process moisture change can be addressed from the raw capacitance of adjacent electrode pair combined with calibration model.Experimental result also indicates that ECT technology can provide useful information for process monitor in a fluidized bed dryer. 展开更多
关键词 Fluidized bed DRYING Wurster tube MOISTURE Process tomography
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