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Rare Metals 2024年第2期43卷 624-634页

作者： Xing-Yuan Zhang mei-Na lei Shan Tian Jian-Gan Wang State Key Laboratory of Solidification Processing Center for Nano Energy MaterialsSchool of Materials Science and EngineeringNorthwestern Polytechnical University and Shaanxi Joint Laboratory of Graphene(NPU)Xi’an710072China

High-energy-density Li-S batteries are subjected to serious sulfur deactivation and short cycle lifetime caused by undesirable polysulfide shuttle effect and frantic lithium dendrite formation.In this work,a controllable cage-confinement strategy to fabricate molybdenum carbide(MoC)nanoclusters as a high-efficient sulfiphilic and lithiophilic regulator to mitigate the formidable issues of Li-S batteries is demonstrated.The sub-2 nm MoC nanoclusters not only guarantee robust chemisorption and fast electrocatalytic conversion of polysulfides to enhance the sulfur electrochemistry,but also homogenize Li^(+) flux to suppress the lithium dendrite growth.As a consequence,the MoC-modified separator endows the batteries with boosted reaction kinetics,promoted sulfur utilization,and improved cycling stability.A reversible capacity of 701 mAh·g^(−1) at a high rate of 5.0C and a small decay rate of 0.076%per cycle at 1.0C over 600 cycles are achieved.This study offers a rational route for design and synthesis of bifunctional nanoclusers with both sulfiphilicity and lithiophilicity for high-performance Li-S batteries.

关键词： Li-S batteries Nanocluster Electrocatalyst Polysulfide shuttle Li dendrites

Exosomes from umbilical cord mesenchymal stromal cells promote the collagen production of fibroblasts from pelvic organ prolapse

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World Journal of Stem Cells 2024年第6期16卷 708-727页

作者： lei-mei Xu Xin-Xin Yu Ning Zhang Yi-Song Chen Department of Gynecology Obstetrics and Gynecology Hospital of Fudan UniversityShanghai 200011China Department of Gynecology Shanghai Key Laboratory of Female Reproductive Endocrine-related DiseasesShanghai 200011China

BACKGROUND Pelvic organ prolapse(POP)involves pelvic organ herniation into the vagina due to pelvic floor tissue laxity,and vaginal structure is an essential factor.In POP,the vaginal walls exhibit abnormal collagen distribution and decreased fibroblast levels and functions.The intricate etiology of POP and the prohibition of trans-vaginal meshes in pelvic reconstruction surgery present challenges in targeted therapy development.Human umbilical cord mesenchymal stromal cells(hucMSCs)present limitations,but their exosomes(hucMSC-Exo)are promising therapeutic tools for promoting fibroblast proliferation and extracellular matrix remodeling.suppressed inflammation in POP group fibroblasts,stimulated primary fibroblast growth,and elevated collagen I(Col1)production in vitro.High-throughput RNA-seq of fibroblasts treated with hucMSC-Exo and miRNA sequencing of hucMSC-Exo revealed that abundant exosomal miRNAs downregulated matrix metalloproteinase 11(MMP11)expression.CONCLUSION HucMSC-Exo normalized the growth and function of primary fibroblasts from patients with POP by promoting cell growth and Col1 expression in vitro.Abundant miRNAs in hucMSC-Exo targeted and downregulated MMP11 expression.HucMSC-Exo-based therapy may be ideal for safely and effectively treating POP.

关键词： Pelvic organ prolapse Exosomes Fibroblasts Human umbilical cord mesenchymal stromal cells Extracellular matrix Collagen I

Review on remediation technologies for arseniccontaminated soil

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Frontiers of Environmental Science & Engineering 2020年第2期14卷 41-54页

作者： Xiaoming Wan mei lei Tongbin Chen Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101China University of Chinese Academy of Sciences Beijing 100049China

Arsenic(As)is a top human carcinogen widely distributed in the environment.As-contaminated soil exists worldwide and poses a threat on human health through water/food consumption,inhalation,or skin contact.More than 200 million people are exposed to excessive As concentration through direct or indirect exposure to contaminated soil.Therefore,affordable and efficient technologies that control risks caused by excess As in soil must be developed.The presently available methods can be classified as chemical,physical,and biological.Combined utilization of multiple technologies is also common to improve remediation efficiency.This review presents the research progress on different remediation technologies for As-contaminated soil.For chemical methods,common soil washing or immobilization agents were summarized.Physical technologies were mainly discussed from the field scale.Phytoextraction,the most widely used technology for As-contaminated soil in China,was the main focus for bioremediation.Method development for evaluating soil remediation efficiency was also summarized.Further research directions were proposed based on literature analysis.

关键词： Arsenic,field-scale Immobilization Phytoextraction Soil washing

Spatial prediction of soil contamination based on machine learning: a review

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环境科学与工程前沿(英文) 2023年第8期17卷 13-29页

作者： Yang Zhang mei lei Kai Li Tienan Ju Institute of Geographic Sciences&Natural Resources Research Chinese Academy of SciencesBeijing 100101China Sino-Danish College University of Chinese Academy of SciencesBeijing 100190China

Soil pollution levels can be quantified via sampling and experimental analysis;however,sampling is performed at discrete points with long distances owing to limited funding and human resources,and is insufficient to characterize the entire study area.Spatial prediction is required to comprehensively investigate potentially contaminated areas.Consequently,machine learning models that can simulate complex nonlinear relationships between a variety of environmental conditions and soil contamination have recently become popular tools for predicting soil pollution.The characteristics,advantages,and applications of machine learning models used to predict soil pollution are reviewed in this study.Satisfactory model performance generally requires the following:1)selection of the most appropriate model with the required structure;2)selection of appropriate independent variables related to pollutant sources and pathways to improve model interpretability;3)improvement of model reliability through comprehensive model evaluation;and 4)integration of geostatistics with the machine learning model.With the enrichment of environmental data and development of algorithms,machine learning will become a powerful tool for predicting the spatial distribution and identifying sources of soil contamination in the future.

关键词： Soil contamination Machine learning Prediction Spatial distribution

A new prediction method of industrial atmospheric pollutant emission intensity based on pollutant emission standard quantification

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Frontiers of Environmental Science & Engineering 2023年第1期17卷 87-97页

作者： Tienan Ju mei lei Guanghui Guo Jinglun Xi Yang Zhang Yuan Xu Qijia Lou Institute of Geographic Sciences and Natural Resources Research Chinese Academy of SciencesBeijing 100101China University of Chinese Academy of Sciences Beijing 100049China

Industrial emissions are the main source of atmospheric pollutants in China.Accurate and reasonable prediction of the emission of atmospheric pollutants from single enterprise can determine the exact source of atmospheric pollutants and control atmospheric pollution precisely.Based on China’s coking enterprises in 2020,we proposed a quantitative method for pollutant emission standards and introduced the quantification results of pollutant emission standards(QRPES)into the construction of support vector regression(SVR)and random forest regression(RFR)prediction methods for SO_(2) emission of coking enterprises in China.The results show that,affected by the types of coke ovens and regions,China’s current coking enterprises have implemented a total of 21 emission standards,with marked differences.After adding QRPES,it was found that the root mean squared error(RMSE)of SVR and RFR decreased from 0.055 kt/a and 0.059 kt/a to 0.045 kt/a and 0.039 kt/a,and the R2 increased from 0.890 and 0.881 to 0.926 and 0.945,respectively.This shows that the QRPES can greatly improve the prediction accuracy,and the SO_(2) emissions of each enterprise are highly correlated with the strictness of standards.The predicted result shows that 45%of SO_(2) emissions from Chinese coking enterprises are concentrated in Shanxi,Shaanxi and Hebei provinces in central China.The method created in this paper fills in the blank of forecasting method of air pollutant emission intensity of single enterprise and is of great help to the accurate control of air pollutants.

关键词： Industrial atmospheric pollutants Pollutant emission standards Quantitative method Machine learning Single enterprise

Application of sewage sludge and intermittent aeration strategy to the bioremediation of DDT- and HCH-contaminated soil

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Journal of Environmental Sciences 2014年第8期26卷 1673-1680页

作者： Qi Liang mei lei Tongbin Chen Jun Yang Xiaoming Wan Sucai Yang Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences

Adding organic amendments to stimulate the biodegradation of pesticides is a subject of ongoing interest. The effect of sewage sludge on the bioremediation of dichlorodiphenyltrichloroethane（DDT） and hexachlorocyclohexane（HCH） contaminated soil was investigated in bench scale experiments,and intermittent aeration strategy was also used in this study to form an anaerobic–aerobic cycle. Bioremediation of DDT and HCH was enhanced with the addition of sewage sludge and the intermittent aeration. The removal rates of HCH and DDT were raised by 16.8%–80.8% in 10 days. Sewage sludge increased the organic carbon content from 6.2 to218 g/kg,and it could also introduce efficient degradation microbes to soil,including Pseudomonas sp.,Bacillus sp. and Sphingomonas sp. The unaerated phase enhanced the anaerobic dechlorination of DDT and HCH,and anaerobic removal rates of β-HCH,o,p′-DDT and p,p′-DDT accounted for more than 50% of the total removal rates,but the content of α-HCH declined more in the aerobic phase.

关键词： Bioremediation,Dichlorodiphenyltrichloroethane（DDT）,Hexachlorocyclohexane（HCH）,Sewage sludge,Aeration strategy

新型模块化永磁偏置磁轴承结构设计与磁场分析

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轴承 2024年第7期 87-94页

作者：葛卓樊梅磊南京工业大学电气工程与控制科学学院南京211816

针对永磁偏置磁轴承设计困难和加工繁琐的问题,设计了一种新型模块化永磁偏置磁轴承,通过等效磁路法对其进行磁路分析,采用ANSYS Maxwell对该磁轴承的气隙磁通密度及电流刚度进行仿真模拟,验证结构设计的合理性;同时,引入模块化设计思想... 详细信息

针对永磁偏置磁轴承设计困难和加工繁琐的问题,设计了一种新型模块化永磁偏置磁轴承,通过等效磁路法对其进行磁路分析,采用ANSYS Maxwell对该磁轴承的气隙磁通密度及电流刚度进行仿真模拟,验证结构设计的合理性;同时,引入模块化设计思想,通过多个磁轴承模块的不同组合方式(并行组合使支承力叠加或以夹角方式组合构成合力)以满足对不同位移方式和多种支承力工况下的稳定磁悬浮支承。结果表明,当模块化永磁偏置磁轴承控制绕组中的电流达到最大值3 A时,单个模块支承力达到最大值(约500 N),可满足实际应用需求。

关键词：滑动轴承磁力轴承永磁材料拓扑结构模块化设计有限元分析

同方期刊数据库博看期刊评论

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钢铁园区储位分配的多目标模型及算法研究

机械设计与制造 2024年第6期400卷 70-74,80页

作者：梁晓磊郑丽兰梅磊武汉科技大学汽车与交通工程学院湖北武汉430065 江汉大学智能制造学院湖北武汉430056

针对钢铁物流园堆场内由于区储位分配不合理导致的车辆长时间排队等货、堆区作业堵塞等问题,提出以优化出入场时间和均衡园区堆场总作业量的多目标优化模型。模型中综合考虑需求量和受订频次因素对货位分配位置的影响,构建了以缩短运输... 详细信息

针对钢铁物流园堆场内由于区储位分配不合理导致的车辆长时间排队等货、堆区作业堵塞等问题,提出以优化出入场时间和均衡园区堆场总作业量的多目标优化模型。模型中综合考虑需求量和受订频次因素对货位分配位置的影响,构建了以缩短运输距离的单区货位布局优化子目标,同时为避免作业量过度集中,减少装卸作业堵塞,针对全堆场构建了基于出入库频率划分的货物堆场内作业均衡子目标。为高效求解该多目标模型,针对NSGA-II算法存在的Pareto前沿分布不均匀及局部拥挤区域的分布性优化不佳,提出了自适应分层保留和区间种群扩张的改进策略,构建了改进多目标优化算法(Hierarchical Retention and Interval Population Expansion NSGA-II,HRIPE-NSGA-II)。基于实际案例进行了模型和算法验证试验,结果表明该模型在HRIPE-NSGA-II求解下能够获得比对比算法更优的解方案,缩短车辆在园区内作业停留时间,平衡各区作业量,提高堆场运作效率。

关键词：钢铁物流园储位分配多目标优化改进NSGA-II

Development of a model to simulate soil heavy metals lateral migration quantity based on SWAT in Huanjiang watershed,China

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Journal of Environmental Sciences 2019年第3期31卷 115-129页

作者： Pengwei Qiao mei lei Sucai Yang Jun Yang Xiaoyong Zhou Nan Dong Guanghui Guo Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing Key Laboratory of Remediation of Industrial Pollution Sites Environmental Protection Research Institute of Light Industry Comprehensive Institute of Geotechnical Investigation and Surveying Ltd.

Lateral transportation of soil heavy metals in rainfall events could significantly increase the scope of pollution. Therefore, it is necessary to develop a model with high accuracy to simulate the migration quantity of heavy metals. A model for heavy metal migration simulation was developed based on the SWAT(Soil and Water Assessment Tool) model. This model took into consideration the influence of soil p H value, soil particle size, runoff volume, sediment amount,concentration of water-soluble heavy metals dissolved in runoff and insoluble absorbed to the soil particles. This model was reasonable in Huanjiang watershed, Guangxi Zhuang Autonomous Region, south China, covering an area of 273 km^2. The optimal drainage area threshold was determined by analyzing the effects of watershed subdivision on the simulation results to ensure the simulation accuracy. The main conclusions of this paper were:(1) watershed subdivision could affect simulation migration quantity of heavy metals;(2) the quantity of heavy metals transported by sediment accounted for 97%–99% of the total migration quantity in the study watershed. Therefore, sediment played the most important role in heavy metal migration;(3) the optimal drainage area threshold percentage to ensure high simulation accuracy was determined to be 2.01% of the total watershed;(4) with the optimal threshold percentage, this model could simulate the migration quantity of As, Pb and Cd accurately at the total watershed and subwatershed level. The results of this paper were useful for identifying the key regions with heavy metal migration.

关键词： Soil heavy metal migration Simulation model Watershed subdivision Optimal drainage area threshold percentage Simulation accuracy

Concentration and speciation of arsenic in an insect feeding on the leaves of Pteris vittata

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Soil Ecology Letters 2021年第3期3卷 279-287页

作者： Xiaoming Wan mei lei Tongbin Chen Institute of Geographic Sciences and Natural Resources Research Chinese Academy of SciencesBeijing 100101China University of Chinese Academy of Sciences Beijing 100089China

The development of an effective and green bioinsecticide is a research hotspot.This study demonstrated the possibility of using an arsenic(As)hyperaccumulator as a bioinsecticide.When the As concentration in the Pteris vittata fronds exceeded 138 mg kg^(–1),the larva of the hawk moth(Theretra clotho)displayed apparent preference to lower-As-concentration P.vittata fronds.The As concentration in the larva body was as high as 850 mg kg^(–1).Such high concentration of As in the larva body might have been the case that T.clotho lacks a process to exclude As.The larval frass showed an As concentration of only 1%–4%of that in the larva body.The predominant As species in the larva body and frass was As(III)-SH.The percentage of As(III)-SH was slightly higher in the frass than that in the larval body.Chelation with thiols may be a universal detoxification mechanism for As in both plants and insects.In general,the adoption of P.vittata as a bioinsecticide should be feasible.However,the exact processes to achieve this goal still need further study.The mechanism of different animals to detoxify As is another interesting research topic.

关键词： Arsenic speciation Bioinsecticide Hawk moth Herbivore Hyperaccumulator