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Particuology 2024年第2期85卷 268-279页

作者： Yong liu Chongyang He Cong Wang Lei Chen songlin liu Institute of Plasma Physics Hefei Institutes of Physical ScienceChinese Academy of SciencesHefei230031China University of Science and Technology of China Hefei230027China Chengdu University Chengdu610106China Zhejiang Lab Hangzhou310000China

This paper presents the study of the dynamic characteristics of confined mixed pebble beds with different friction under different vibration conditions using the discrete element ***λsegre-gation index is used to quantify the degree of particle mixing or *** percolation,convection and diffusion mechanisms are responsible for the segregation patterns of the mixed *** results show the degree of segregation can be suppressed by decreasing the vibration acceleration or free space height below a *** simulation reveals the threshold of vibration acceleration or free space height both are related to the bed height increment which determines the strength of the percolation *** addition,the strength of percolation and convection becomes weaker by decreasing the friction of particles and walls,which makes the pebbled bed remains in a mixed state under *** findings are significant to clarify the main factors behind the three segregation mechanisms and hence provide solutions to retaining the mixed state of the Li2TiO3&Be12Ti mixed pebble bed.

关键词： Vibration Segregation Binary pebble bed Discrete element method

Ligand-Free Synthesis of 1,4-Disubstituted-l,3-diynes by Iron/Copper Cocatalyzed Homocoupling of Terminal Alkynes

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Chinese Journal of Chemistry 2013年第2期31卷 187-194页

作者： Peipei Wang Xiaoyan liu songlin Zhang Key Laboratory of Organic Synthesis of Jiangsu Province College of Chemistry Chemical Engineering and Materials Science of Soochow University Suzhou Jiangsu 215123 China

A simple and efficient protocol for Fe/Cu cocatalyzed oxidative homocoupling reaction of terminal alkynes to symmetrical 1,4-disubstituted-l,3-diynes was presented. The results showed that both CuBr and FeC13 played erucial roles in the reaction. It is noteworthy that this protocol employs mild, efficient, aerobic and ligand free conditions. The alkynes, including aromatic, heteroaromatic and aliphatic alkynes, were transformed into the corresponding 1,3-diynes in good to excellent yields.

关键词： catalysis copper iron 1,3-diyne ligand-free

Determination of groundwater buoyancy reduction coefficient in clay:Model tests,numerical simulations and machine learning methods

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Underground Space 2023年第6期13卷 228-240页

作者： Weixin Sun Hanlong liu Wengang Zhang songlin liu Liang Han School of Civil Engineering Chongqing UniversityChongqing 400045China Key Laboratory of New Technology for Construction of Cities in Mountain Area Chongqing UniversityChongqing 400045China National Joint Engineering Research Center of Geohazards Prevention in the Reservoir Areas Chongqing UniversityChongqing 400045China

Groundwater plays an essential role in stabilizing underground ***,hydrostatic uplift forces from groundwater can create safety *** paper obtained the groundwater buoyancy reduction coefficients of 36 types of clays through model tests and conducted a finite element simulation to obtain the buoyancy reduction coefficients of additional clays with varying soil *** learning methods,including extreme gradient boosting(XGBoost)and random forest(RF)algorithms,were used to analyze and identify the soil parameters that have a significant impact on the reduction of groundwater *** was found that the permeability coefficient and saturation are the primary factors that influence the reduction of groundwater ***,the prediction models developed by XGBoost and RF were compared,and their accuracy was *** research findings can serve as a reference for designing underground structures that can withstand the potential risk of buoyancy in clay.

关键词： Clay Buoyancy reduction coefficient Numerical simulation Model test Machine learning

Understanding channel tropism in traditional Chinese medicine in the context of systems biology

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Frontiers of Medicine 2013年第3期7卷 277-279页

作者： Ping liu songlin liu Gang Chen Ping Wang Key Laboratory of Traditional Chinese Medicine Resource and Compound Prescription Ministry of EducationHubei University of Chinese MedicineWuhan 430065China

Channel tropism is investigated and developed through long-term clinical *** recent years,the development of channel tropism theory has attracted increasing *** study analyzed channel tropism theory and the problems associated with *** showed that this theory and systems biology have a similar holistic *** biology could provide novel insights and platform in the study of channel *** problems in channel tropism theory,including pharmacology and action mechanism,were investigated.

关键词： systems biology channel tropism theory traditional Chinese medicine application

Physics-informed optimization for a data-driven approach in landslide susceptibility evaluation

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第8期16卷 3192-3205页

作者： songlin liu Luqi Wang Wengang Zhang Weixin Sun Yunhao Wang Jianping liu School of Civil Engineering Chongqing UniversityChongqing400045China Key Laboratory of New Technology for Construction of Cities in Mountain Area Chongqing UniversityMinistry of EducationChongqing400045China National Joint Engineering Research Center of Geohazards Prevention in the Reservoir Areas Chongqing UniversityChongqing400045China Chongqing Field Scientific Observation Station for Landslide Hazards in Three Gorges Reservoir Area Chongqing UniversityChongqing400045China Chongqing Mingfeng Construction Engineering Co. LtdChongqing405800China

Landslide susceptibility mapping is an integral part of geological hazard ***,the emphasis of many studies has been on data-driven models,notably those derived from machine learning,owing to their aptitude for tackling complex non-linear ***,the prevailing models often disregard qualitative research,leading to limited interpretability and mistakes in extracting negative samples,*** non-landslide *** this study,Scoops 3D(a three-dimensional slope stability analysis tool)was utilized to conduct a qualitative assessment of slope stability in the Yunyang section of the Three Gorges Reservoir *** depth of the bedrock was predicted utilizing a Convolutional Neural Network(CNN),incorporating local boreholes and building on the insights from prior *** Random Forest(RF)algorithm was subsequently used to execute a data-driven landslide susceptibility *** proposed methodology demonstrated a notable increase of 29.25%in the evaluation metric,the area under the receiver operating characteristic curve(ROC-AUC),outperforming the prevailing benchmark ***,the landslide susceptibility map generated by the proposed model demonstrated superior *** result not only validates the effectiveness of amalgamating mathematical and mechanistic insights for such analyses,but it also carries substantial academic and practical implications.

关键词： Physics-informed Machine learning Bedrock depth Scoops 3D Landslide susceptibility

Effect of reinforcing kidney-essence, removing phlegm, and promoting mental therapy on treating Alzheimer's disease

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Journal of Traditional Chinese Medicine 2013年第4期33卷 449-454页

作者： Ping liu Mingwang Kong songlin liu Gang Chen Ping Wang Key Laboratory of Senile Dementia State Administration of Traditional Chinese Medicine of the People's Republic of China Hubei University of Chinese Medicine

OBJECTIVE: To explore the mechanism of reinforcing kidney-essence, removing phlegm, and promoting mental therapy in treating Alzheimer's disease (AD). METHODS: Sixty patients with AD in Wuhan No.1 Hospital of Traditional Chinese Medicine for Geriatrics from May 2009 to April 2011 were randomly divided into two groups, with 30 in each group. Patients in Bushenhuatanyizhi group (BHY group) took BHY instant granules (6 g, twice per day). Patients in the control group took piracetam (0.8 g, 3 times per day). There were twelve weeks in a course. Changes in the mini-mental state examination (MMSE) score and Activity of Daily Living Scale (ADL) score were analyzed before and after treatment. RESULTS: MMSE scores in the two groups in-creased and ADL scores decreased after treatment, compared with those before treatment (both P< 0.05).The total effective rate was 86.67% in the BHY group (10 very effective, 13 effective, 7 non-responsive). The control group was 57.69% (5 very effective, 16 effective, 9 non-responsive) (P<0.05). Superoxide dismutase levels were increased, lipid peroxide and triglyceride levels decreased after treatment in the BHY group as compared with the control group. CONCLUSION: Reinforcing kidney-essence, removing phlegm, and promoting mental therapy can improve cognitive function and daily life of AD patients. The mechanism of the therapy might be related to improving blood fat, scavenging free radicals, and inhibiting lipid peroxides.

关键词： Alzheimer disease Reinforcing kidney Resolving phlegm Drugs Chinese herbal

Determination of minimum overburden depth for underwater shield tunnel in sands:Comparison between circular and rectangular tunnels

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Journal of Rock Mechanics and Geotechnical Engineering 2023年第7期15卷 1671-1686页

作者： Weixin Sun Fucheng Han Hanlong liu Wengang Zhang Yanmei Zhang Weijia Su songlin liu School of Civil Engineering Chongqing UniversityChongqing400045China Key Laboratory of New Technology for Construction of Cities in Mountain Area Chongqing UniversityChongqing400045China National Joint Engineering Research Center of Geohazards Prevention in the Reservoir Areas Chongqing UniversityChongqing400045China School of Aerospace Engineering Chongqing UniversityChongqing400045China

With the development of global urbanization,the utilization of underground space is more critical and attractive for civil *** shapes of shield tunnels have been gradually proposed to cope with different geological conditions and service purposes of underground ***,reducing the burial depth of shield tunnel is conducive to construction and cost ***,extremely small overburden depth cannot provide sufficient uplift resistance to maintain the stability and serviceability of the *** this end,this paper firstly reviewed the status of deriving the minimum sand over-burden depth of circular shield tunnel using mechanical equilibrium(ME)*** revealed that the estimated depth is rather ***,the uplift resistance mechanism of both circular and rectangular tunnels was deduced theoretically and verified with the model *** theoretical uplift resistance is consistent with the experimental values,indicating the feasibility of the proposed ***,the determination of the minimum soil overburden depth of rectangular shield tunnel under various working conditions was presented through integrated ME method,which can provide more reasonable estimations of suggested tunnel burial depth for practical ***,optimizations were made for calculating the uplift resistance,and the soil thickness providing uplift resistance is suggested to be adjusted according to the testing *** results can provide reference for the design and construction of various shapes of shield tunnels in urban underground space exploitation.

关键词： Minimum overburden depth Uplift resistance mechanism Shield tunnel shape Tunnel anti-floating

Time series prediction of reservoir bank landslide failure probability considering the spatial variability of soil properties

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第10期16卷 3951-3960页

作者： Luqi Wang Lin Wang Wengang Zhang Xuanyu Meng songlin liu Chun Zhu School of Civil Engineering Chongqing UniversityChongqing400045China Key Laboratory of New Technology for Construction of Cities in Mountain Area Chongqing UniversityChongqing400045China National Joint Engineering Research Center of Geohazards Prevention in the Reservoir Areas Chongqing UniversityChongqing400045China School of National Safety and Emergency Management Beijing Normal UniversityZhuhai519087China School of Earth Sciences and Engineering Hohai UniversityNanjing210098China

Historically,landslides have been the primary type of geological disaster ***,the stability of reservoir banks is primarily affected by rainfall and reservoir water level ***,the stability of reservoir banks changes with the long-term dynamics of external disastercausing ***,assessing the time-varying reliability of reservoir landslides remains a *** this paper,a machine learning(ML)based approach is proposed to analyze the long-term reliability of reservoir bank landslides in spatially variable soils through time series *** study systematically investigated the prediction performances of three ML algorithms,*** perceptron(MLP),convolutional neural network(CNN),and long short-term memory(LSTM).Additionally,the effects of the data quantity and data ratio on the predictive power of deep learning models are *** results show that all three ML models can accurately depict the changes in the time-varying failure probability of reservoir *** CNN model outperforms both the MLP and LSTM models in predicting the failure ***,selecting the right data ratio can improve the prediction accuracy of the failure probability obtained by ML models.

关键词： Machine learning(ML) Reservoir bank landslide Spatial variability Time series prediction Failure probability

Machine learning solution for regional landslide susceptibility based on fault zone division strategy

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Journal of Mountain Science 2024年第5期21卷 1745-1760页

作者： WANG Yunhao WANG Luqi liu songlin SUN Weixin liu Pengfei ZHU Lin YANG Wenyu GUO Tong School of Civil Engineering Chongqing UniversityChongqing 400045China Key Laboratory of New Technology for Construction of Cities in Mountain Area Chongqing UniversityMinistry of EducationChongqing 400045China National Joint Engineering Research Center of Geohazards Prevention in the Reservoir Areas Chongqing UniversityChongqing 400045China Institute of Geological Environment Monitoring Chongqing 401147China Chongqing 205 Geological Team Chongqing 401121China

Landslide susceptibility assessment is an essential tool for disaster prevention and management. In areas with multiple fault zones, the impact of fault zone on slope stability cannot be disregarded. This study performed qualitative analysis of fault zones and proposed a zoning method to assess the landslide susceptibility in Chengkou County, Chongqing Municipality, China. The region within a distance of 1 km from the faults was designated as sub-zone A, while the remaining area was labeled as sub-zone B. To accomplish the assessment, a dataset comprising 388 historical landslides and 388 non-landslide points was used to train the random forest model. 10-fold cross-validation was utilized to select the training and testing datasets for the model. The results of the models were analyzed and discussed, with a focus on model performance and prediction uncertainty. By implementing the proposed division strategy based on fault zone, the accuracy, precision, recall, F-score, and AUC of both two sub-zones surpassed those of the whole region. In comparison to the results obtained for the whole region, sub-zone B exhibited an increase in AUC by 6.15%, while sub-zone A demonstrated a corresponding increase of 1.66%. Moreover, the results of 100 random realizations indicated that the division strategy has little effect on the prediction uncertainty. This study introduces a novel approach to enhance the prediction accuracy of the landslide susceptibility mapping model in areas with multiple fault zones.

关键词： Landslide susceptibility mapping Fault division strategy Random forest GIS

A physics-informed data-driven model for landslide susceptibility assessment in the Three Gorges Reservoir area

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Geoscience Frontiers 2023年第5期14卷 1-16页

作者： songlin liu Luqi Wang Wengang Zhang Weixin Sun Jie Fu Ting Xiao Zhenwei Dai School of Civil Engineering Chongqing UniversityChongqing 400045China Key Laboratory of New Technology for Construction of Cities in Mountain Area Chongqing UniversityMinistry of EducationChongqing 400045China National Joint Engineering Research Center of Geohazards Prevention in the Reservoir Areas Chongqing UniversityChongqing 400045China Chongqing Field Scientific Observation Station for Landslide Hazards in Three Gorges Reservoir Area Chongqing UniversityChongqing 400045China Center for Hydrogeology and Environmental Geology CGSBaoding Hebei 071051China Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring Ministry of EducationSchool of Geosciences and Info-PhysicsCentral South UniversityChangsha 410083China Central South China Innovation Center for Geosciences Wuhan Centre of China Geological SurveyWuhan 430205China

Landslide susceptibility mapping is a crucial tool for analyzing geohazards in a *** publications have popularized data-driven models,particularly machine learning-based methods,owing to their strong capability in dealing with complex nonlinear ***,a significant proportion of these models have neglected qualitative aspects during analysis,resulting in a lack of interpretability throughout the process and causing inaccuracies in the negative sample *** this study,Scoops 3D was employed as a physics-informed tool to qualitatively assess slope stability in the study area(the Hubei Province section of the Three Gorges Reservoir Area).The non-landslide samples were extracted based on the calculated factor of safety(FS).Subsequently,the random forest algorithm was employed for data-driven landslide susceptibility analysis,with the area under the receiver operating characteristic curve(AUC)serving as the model evaluation *** to the benchmark model(i.e.,the standard method of utilizing the pure random forest algorithm),the proposed method’s AUC value improved by 20.1%,validating the effectiveness of the dual-driven method(physics-informed data-driven).

关键词： Machine Learning Physics-informed Negative sample extraction Interpretability Dual-driven