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The removal of trimethoprim and sulfamethoxazole by a high infiltration rate artificial composite soiltreatment system

Qinqin Liu,Miao Li,Fawang Zhang,Hechun Yu,Quan Zhang,Xiang Liu

《环境科学与工程前沿（英文）》 2017年 第11卷 第2期 doi: 10.1007/s11783-017-0920-z

摘要： Artificial composite soil treatment system with the high infiltration rate (1.394 m·d ) had a good removal efficiency of TMP (80%–90%) and SMX (60%–70%). The removal mechanism of TMP and SMX was mainly sorption and was related with hydrogeochemical process. Sulfamethoxzole (SMX) and trimethoprim (TMP), two combined-using sulfonamide antibiotics, have gained increasing attention in the surface water, groundwater and the drinking water because of the ecological risk. The removal of TMP and SMX by artificial composite soil treatment system (ACST) with different infiltration rates was systematically investigated using K , Na , Ca , Mg hydrogeochemical indexes. Batch experiments showed that the sorption onto the low-cost and commercially available clay ceramsites was effective for the removal of SMX and TMP from water. The column with more silty clay at high infiltration rate (1.394 m·d ) had removal rates of 80% to 90% for TMP and 60% to 70% for SMX. High SMX and TMP removal rates had a higher effluent concentration of K , Ca and Mg and had a lower effluent Na concentration. Removal was strongly related to sorption. The results showed that the removal of SMX and TMP was related to hydrogeochemical processes. In this study, ACST is determined to be applicable to the drinking water plants.

关键词： Trimethoprim     Sulfamethoxazole     Artificial composite soil treatment     Hydrogeochemical processes     Ion exchange    

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Removal of trimethoprim and sulfamethoxazole in artificial composite soil treatment systems and diversity

Qinqin Liu, Miao Li, Rui Liu, Quan Zhang, Di Wu, Danni Zhu, Xuhui Shen, Chuanping Feng, Fawang Zhang, Xiang Liu

《环境科学与工程前沿（英文）》 2019年 第13卷 第2期 doi: 10.1007/s11783-019-1112-9

摘要：

• Novel ACST allowed biodegradation to effectively remove adsorbed SMX and TMP.

• Ammonia and nitrite were efficiently removed in ACSTs and water quality was improved.

关键词： Trimethoprim     Sulfamethoxazole     Reclaimed water     Biodegradation     Aerobic nitrification     Microbial community    

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Wastewater treatment meets artificial photosynthesis: Solar to green fuel production, water remediation

《环境科学与工程前沿（英文）》 2022年 第16卷 第4期 doi: 10.1007/s11783-022-1536-5

摘要：

• Mitigating energy utilization and carbon emission is urgent for wastewater treatment.

关键词： Wastewater treatment     Artificial photosynthesis     Microbial photoelectrochemical (MPEC) system     Carbon neutral     Renewable energy    

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An efficient stochastic dynamic analysis of soil media using radial basis function artificial neural

P. ZAKIAN

《结构与土木工程前沿（英文）》 2017年 第11卷 第4期   页码 470-479 doi: 10.1007/s11709-017-0440-8

摘要： Since a lot of engineering problems are along with uncertain parameters, stochastic methods are of great importance for incorporating random nature of a system property or random nature of a system input. In this study, the stochastic dynamic analysis of soil mass is performed by finite element method in the frequency domain. Two methods are used for stochastic analysis of soil media which are spectral decomposition and Monte Carlo methods. Shear modulus of soil is considered as a random field and the seismic excitation is also imposed as a random process. In this research, artificial neural network is proposed and added to Monte Carlo method for sake of reducing computational effort of the random analysis. Then, the effects of the proposed artificial neural network are illustrated on decreasing computational time of Monte Carlo simulations in comparison with standard Monte Carlo and spectral decomposition methods. Numerical verifications are provided to indicate capabilities, accuracy and efficiency of the proposed strategy compared to the other techniques.

关键词： stochastic analysis     random seismic excitation     finite element method     artificial neural network     frequency domain analysis     Monte Carlo simulation    

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Shaking table test of composite foundation reinforcement of saturated silty soil for high speed railway

JIANG Guanlu, LIU Xianfeng, ZHANG Jianwen, ZHAO Ruyi

《结构与土木工程前沿（英文）》 2007年 第1卷 第3期   页码 353-360 doi: 10.1007/s11709-007-0047-6

摘要： Three shaking table model tests were conducted with a geometrical scale of 1:10 using a large-scale laminar shear box to investigate the reinforcement effects of compacted gravel column-net composite foundation and cement fly-ash gravel (CFG) column-net composite foundation on the saturated silty soil along the Beijing-Shanghai High Speed Railway. The research results indicate that the increase in excess pore water pressure can be restrained effectively by the compacted gravel column-net composite foundation to improve the anti-liquefaction ability of the ground, and that shear displacement of the ground can be reduced greatly by the compacted gravel column-net and CFG column-net composite foundations to improve the capability of resisting shear displacement of ground. Furthermore, the amplifying of response acceleration, induced by foundation liquefaction, and the settlement of foundation and subgrade can be reduced greatly by the compacted gravel column-net and CFG column-net composite foundations to improve the aseismatic property of the foundation and subgrade.

关键词： large-scale     CFG column-net     amplifying     displacement     subgrade    

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Stabilization treatment of contaminated soil: a field-scale application in Shanghai, China

Changbo ZHANG, Qishi LUO, Chunnu GENG, Zhongyuan LI

《环境科学与工程前沿（英文）》 2010年 第4卷 第4期   页码 395-404 doi: 10.1007/s11783-010-0271-5

摘要： Stabilization is one of the best demonstrated available technologies for treating toxic pollutants in soils and has been used worldwide but is rarely used for treatment of contaminated sites in China despite many bench-scale studies. Here, a field-scale application of stabilization treatment in Shanghai, China was summarized to demonstrate the whole engineering process and the key technical issues regarding stabilization of contaminated soil. A site contaminated with arsenic (As) and polycyclic aromatic hydrocarbons (PAHs), formerly used as a lighting plant in Shanghai, was chosen as the demonstration site. Stabilizing measures were taken to treat the contaminated soil to reuse the site for residential purposes. The whole engineering remediation process consisted of phase I environmental site assessment (ESA) and phase II ESA, quantitative human health risk assessment, remediation alternatives evaluation, bench-scale testing, remedial design, engineering implementation, and post-remediation assessment. A third party conducted evaluation monitoring indicated desirable results were achieved via the stabilization treatment. In addition, some technical obstacles related to soil stabilization treatment were discussed, including soil quality evaluation, stabilization effectiveness validation, and soil reuse assessment.

关键词： stabilization     contaminated soil     field-scale demonstration     technical obstacles    

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Machine learning-based seismic assessment of framed structures with soil-structure interaction

《结构与土木工程前沿（英文）》 2023年 第17卷 第2期   页码 205-223 doi: 10.1007/s11709-022-0909-y

摘要： The objective of the current study is to propose an expert system framework based on a supervised machine learning technique (MLT) to predict the seismic performance of low- to mid-rise frame structures considering soil-structure interaction (SSI). The methodology of the framework is based on examining different MLTs to obtain the highest possible accuracy for prediction. Within the MLT, a sensitivity analysis was conducted on the main SSI parameters to select the most effective input parameters. Multiple limit state criteria were used for the seismic evaluation within the process. A new global seismic assessment ratio was introduced that considers both serviceability and strength aspects by utilizing three different engineering demand parameters (EDPs). The proposed framework is novel because it enables the designer to seismically assess the structure, while simultaneously considering different EDPs and multiple limit states. Moreover, the framework provides recommendations for building component design based on the newly introduced global seismic assessment ratio, which considers different levels of seismic hazards. The proposed framework was validated through comparison using non-linear time history (NLTH) analysis. The results show that the proposed framework provides more accurate results than conventional methods. Finally, the generalization potential of the proposed framework was tested by investigating two different types of structural irregularities, namely, stiffness and mass irregularities. The results from the framework were in good agreement with the NLTH analysis results for the selected case studies, and peak ground acceleration (PGA) was found to be the most influential input parameter in the assessment process for the case study models investigated. The proposed framework shows high generalization potential for low- to mid-rise structures.

关键词： seismic hazard     artificial neural network     soil-structure interaction     seismic analysis    

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Artificial intelligence in radiotherapy: a technological review

Ke Sheng

《医学前沿（英文）》 2020年 第14卷 第4期   页码 431-449 doi: 10.1007/s11684-020-0761-1

摘要： Radiation therapy (RT) is widely used to treat cancer. Technological advances in RT have occurred in the past 30 years. These advances, such as three-dimensional image guidance, intensity modulation, and robotics, created challenges and opportunities for the next breakthrough, in which artificial intelligence (AI) will possibly play important roles. AI will replace certain repetitive and labor-intensive tasks and improve the accuracy and consistency of others, particularly those with increased complexity because of technological advances. The improvement in efficiency and consistency is important to manage the increasing cancer patient burden to the society. Furthermore, AI may provide new functionalities that facilitate satisfactory RT. The functionalities include superior images for real-time intervention and adaptive and personalized RT. AI may effectively synthesize and analyze big data for such purposes. This review describes the RT workflow and identifies areas, including imaging, treatment planning, quality assurance, and outcome prediction, that benefit from AI. This review primarily focuses on deep-learning techniques, although conventional machine-learning techniques are also mentioned.

关键词： artificial intelligence     radiation therapy     medical imaging     treatment planning     quality assurance     outcome prediction    

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The effect of texture and irrigation on the soil moisture vertical-temporal variability in an urban artificial

Xiaofeng ZHANG,Xu ZHANG,Guanghe LI

《环境科学与工程前沿（英文）》 2015年 第9卷 第2期   页码 269-278 doi: 10.1007/s11783-014-0672-y

摘要： Soil moisture variability in natural landscapes has been widely studied; however, less attention has been paid to its variability in the urban landscapes with respect to the possible influence of texture stratification and irrigation management. Therefore, a case study was carried out in the Beijing Olympic Forest Park to continuously monitor the soil in three typical profiles from 26 April to 11 November 2010. The texture stratification significantly affected the vertical distribution of moisture in the non-irrigated profile where moisture was mostly below field capacity. In the profile where irrigation was sufficient to maintain moisture above field capacity, gravity flow led to increased moisture with depth and thus eliminated the influence of texture. In the non-irrigated sites, the upper layer (above 80 cm) exhibited long-term moisture persistence with the time scale approximating the average rainfall interval. However, a coarse-textured layer weakened the influence of rainfall, and a fine-textured layer weakened the influence of evapotranspiration, both of which resulted in random noise-like moisture series in the deeper layers. At the irrigated site, frequent irrigation neutralized the influence of evapotranspiration in the upper layer (above 60 cm) and overshadowed the influence of rainfall in the deeper layer. As a result, the moisture level in the upper layer also behaved as a random noise-like series; whereas due to deep transpiration, the moisture of the deep layer had a persistence time-scale longer than a month, consistent with characteristic time-scales found for deep transpiration.

关键词： moisture vertical distribution     moisture temporal variation     texture stratification     irrigation     meteorological forcing     urban landscape    

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Combination of the direct electro-Fenton process and bioremediation for the treatment of pyrene-contaminatedsoil in a slurry reactor

Wendi XU,Shuhai GUO,Gang LI,Fengmei LI,Bo WU,Xinhong GAN

《环境科学与工程前沿（英文）》 2015年 第9卷 第6期   页码 1096-1107 doi: 10.1007/s11783-015-0804-z

摘要： A combined treatment technology (DEF-BIO) using the direct electro-Fenton (DEF) process and bioremediation (BIO) was established in this study. The performance of the DEF-BIO process on the remediation of a pyrene (PYR)-contaminated soil was evaluated in a slurry reactor. The appropriate order of application was to conduct the DEF process followed by BIO, evaluated through analysis of the degradation characteristics of each process individually. In addition, the application time of the DEF process affected the efficiency of the combined process. The optimum time to apply the DEF process was determined through an analysis of the induced changes in PYR intermediates, pH, soil organic matter (SOM) and bacteria. The optimum application time of the DEF process was 6 h. All the induced changes were beneficial for the BIO phase. The removal of PYR was 91.02% for DEF–BIO after 72 h, and the efficiency was almost 50% increased, compared with the individual DEF and BIO treatments. Therefore, the combined process of DEF–BIO process may be an efficient and promising method for the remediation.

关键词： direct electro-Fenton     bioremediation     slurry reactor     combined process     pyrene    

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A hierarchical system to predict behavior of soil and cantilever sheet wall by data-driven models

Nang Duc BUI; Hieu Chi PHAN; Tiep Duc PHAM; Ashutosh Sutra DHAR

《结构与土木工程前沿（英文）》 2022年 第16卷 第6期   页码 667-684 doi: 10.1007/s11709-022-0822-4

摘要： The study proposes a framework combining machine learning (ML) models into a logical hierarchical system which evaluates the stability of the sheet wall before other predictions. The study uses the hardening soil (HS) model to develop a 200-sample finite element analysis (FEA) database, to develop the ML models. Consequently, a system containing three trained ML models is proposed to first predict the stability status (random forest classification, RFC) followed by 1) the cantilever top horizontal displacement of sheet wall (artificial neural network regression models, RANN1) and 2) vertical settlement of soil (RANN2). The uncertainty of this data-driven system is partially investigated by developing 1000 RFC models, based on the application of random sampling technique in the data splitting process. Investigation on the distribution of the evaluation metrics reveals negative skewed data toward the 1.0000 value. This implies a high performance of RFC on the database with medians of accuracy, precision, and recall, on test set are 1.0000, 1.0000, and 0.92857, respectively. The regression ANN models have coefficient of determinations on test set, as high as 0.9521 for RANN1, and 0.9988 for RANN2, respectively. The parametric study for these regressions is also provided to evaluate the relative insight influence of inputs to output.

关键词： finite element analysis     cantilever sheet wall     machine learning     artificial neural network     random forest    

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三种固体废弃物综合利用的研究

张万钧,郭育文,黄明勇,王斗天,张民胜

《中国工程科学》 2002年 第4卷 第10期   页码 62-66

摘要：

文章从环境建设的可持续发展出发，结合天津开发区在基础设施及园林绿化建设中面临土源紧缺的现实，将周边地区大量存在的海湾泥、粉煤灰、碱渣土等废弃物配制成一种新型种植基质以代替农田客土，并对其理化性质和对植物的适宜性进行了详细的试验研究。实验及推广结果表明海湾泥与碱渣土或粉煤灰按3∶1比例混合最适宜，同时该配比基质在土壤改良和植物适宜性方面均优于滨海盐土，其综合效益十分显著。

关键词： 固体废弃物     新土源     海湾泥     碱渣土     粉煤灰    

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IPMC gripper static analysis based on finite element analysis

Hanmin PENG, Yao HUI, Qingjun DING, Huafeng LI, Chunsheng ZHAO,

《机械工程前沿（英文）》 2010年 第5卷 第2期   页码 204-211 doi: 10.1007/s11465-010-0005-1

摘要： Recently, a type of flexible grippers with low power supply (0–5 V) has been designed and developed for grasping small but precision parts. In previous work, the authors manufactured a soft gripper whose actuating components are made of ionic polymer-metal composite (IPMC) materials; however, there is not a comprehensive model to analyze the complete mechanics for this IPMC gripper. Therefore, this paper provides a finite element method for analyzing its static mechanics characteristics in the state with maximal stress and strain (i.e., the gripper opening largest, including the IPMC deformation, stress, and strain). Further, these electromechanical coupling relationships can be simulated by using the piezoelectric analysis module based on ANSYS software. The simulation results show that the maximal tip displacement of IPMC strips can nearly reach their own free length, the maximal stress is 54 MPa in the center of copper electrodes, and the maximal strain is 0.0286 on the IPMC strip. The results provide detailed numerical solutions and appropriate finite element analysis methodologies beneficial for further research on the optimization design, forecast analysis, and control field.

关键词： ionic polymer-metal composite (IPMC)     artificial muscles     actuator     flexible gripper     finite element analysis     electromechanical coupling    

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Determination of effective stress parameter of unsaturated soils: A Gaussian process regression approach

Pijush Samui, Jagan J

《结构与土木工程前沿（英文）》 2013年 第7卷 第2期   页码 133-136 doi: 10.1007/s11709-013-0202-1

摘要： This article examines the capability of Gaussian process regression (GPR) for prediction of effective stress parameter ( ) of unsaturated soil. GPR method proceeds by parameterising a covariance function, and then infers the parameters given the data set. Input variables of GPR are net confining pressure ( ), saturated volumetric water content ( ), residual water content ( ), bubbling pressure ( ), suction ( ) and fitting parameter ( ). A comparative study has been carried out between the developed GPR and Artificial Neural Network (ANN) models. A sensitivity analysis has been done to determine the effect of each input parameter on . The developed GPR gives the variance of predicted . The results show that the developed GPR is reliable model for prediction of of unsaturated soil.

关键词： unsaturated soil     effective stress parameter     Gaussian process regression (GPR)     artificial neural network (ANN)     variance    

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人工智能辅助诊疗发展现状与战略研究

孔鸣,何前锋,李兰娟

《中国工程科学》 2018年 第20卷 第2期   页码 86-91 doi: 10.15302/J-SSCAE-2018.02.013

摘要：

医疗健康数据的融合、开放共享，利用人工智能对碎片化医学信息进行整理分析，对医疗诊断过程提供辅助，可改善医疗健康服务，促进政府决策合理化，缓解医疗卫生资源配置不均衡问题。本文选取健康医疗信息人机交互、数据智能中的语义理解与医学影像分析等方面，简要阐述了人工智能在辅助诊疗问题上的发展方向与现状，讨论了智能诊疗技术发展与应用的问题与挑战：一是医学信息的标准化表征和结构化整合构建术语标准是关键；二是利用海量医学知识，构建多模态数据采集分析与结构化知识推理相结合的智能诊疗模型是重要的影像智能发展点。建议建立国家级的健康医疗开放大数据云平台，开辟新的数据、信息整合、知识发现及服务市场；构建医疗健康信息的一些基础行业标准，加强国产高端医疗器械的研发力度，推动智能化医疗器械和智能可穿戴式设备的研发，引导产业在人工智能与高端医疗器械的结合上开辟新的市场。

关键词： 人工智能     辅助诊疗     知识图谱     医学本体     医学影像分析    

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标题 作者 时间 类型 操作

The removal of trimethoprim and sulfamethoxazole by a high infiltration rate artificial composite soiltreatment system

Qinqin Liu,Miao Li,Fawang Zhang,Hechun Yu,Quan Zhang,Xiang Liu

期刊论文

Removal of trimethoprim and sulfamethoxazole in artificial composite soil treatment systems and diversity

Qinqin Liu, Miao Li, Rui Liu, Quan Zhang, Di Wu, Danni Zhu, Xuhui Shen, Chuanping Feng, Fawang Zhang, Xiang Liu

期刊论文

Wastewater treatment meets artificial photosynthesis: Solar to green fuel production, water remediation

期刊论文

An efficient stochastic dynamic analysis of soil media using radial basis function artificial neural

P. ZAKIAN

期刊论文

Shaking table test of composite foundation reinforcement of saturated silty soil for high speed railway

JIANG Guanlu, LIU Xianfeng, ZHANG Jianwen, ZHAO Ruyi

期刊论文

Stabilization treatment of contaminated soil: a field-scale application in Shanghai, China

Changbo ZHANG, Qishi LUO, Chunnu GENG, Zhongyuan LI

期刊论文

Machine learning-based seismic assessment of framed structures with soil-structure interaction

期刊论文

Artificial intelligence in radiotherapy: a technological review

Ke Sheng

期刊论文

The effect of texture and irrigation on the soil moisture vertical-temporal variability in an urban artificial

Xiaofeng ZHANG,Xu ZHANG,Guanghe LI

期刊论文

Combination of the direct electro-Fenton process and bioremediation for the treatment of pyrene-contaminatedsoil in a slurry reactor

Wendi XU,Shuhai GUO,Gang LI,Fengmei LI,Bo WU,Xinhong GAN

期刊论文

A hierarchical system to predict behavior of soil and cantilever sheet wall by data-driven models

Nang Duc BUI; Hieu Chi PHAN; Tiep Duc PHAM; Ashutosh Sutra DHAR

期刊论文

三种固体废弃物综合利用的研究

张万钧,郭育文,黄明勇,王斗天,张民胜

期刊论文

IPMC gripper static analysis based on finite element analysis

Hanmin PENG, Yao HUI, Qingjun DING, Huafeng LI, Chunsheng ZHAO,

期刊论文

Determination of effective stress parameter of unsaturated soils: A Gaussian process regression approach

Pijush Samui, Jagan J

期刊论文

人工智能辅助诊疗发展现状与战略研究

孔鸣,何前锋,李兰娟

期刊论文