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The Research Progress and Status of In-Situ Remediation Technology of Groundwater

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地学前缘 2009年第S1期16卷 34-35页

作者： liuxin Jing,Guanji zhao,Yancheng Dong School of Water Resources & Environment,China University of Geosciences(Beijing),Beijing 100083,China.

The characteristics and application of the in-situ remediation technology of groundwater,including air sparing,electro kinetic remediation,in-situ chemical oxidation,in-situ groundwater bioremediation and permeable re... 详细信息

关键词： groundwater remediation technology natural attenuation permeable reactive barriers

LiDAR-Visual SLAM with Integrated Semantic and Texture Information for Enhanced Ecological Monitoring Vehicle Localization

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Computers, Materials & Continua 2025年第1期82卷 1401-1416页

作者： Yiqing Lu Liutao zhao Qiankun zhao Foreign Environmental Cooperation Center Ministry of Ecology and Environment of PRCBeijing100035China Beijing Computing Center Co. Ltd.Beijing Academy of Science and TechnologyBeijing100083China Beijing Guyu Interactive Artificial Intelligence Application Co. Ltd.Beijing100024China

Ecological monitoring vehicles are equipped with a range of sensors and monitoring devices designed to gather data on ecological and environmental *** vehicles are crucial in various fields,including environmental science research,ecological and environmental monitoring projects,disaster response,and emergency management.A key method employed in these vehicles for achieving high-precision positioning is LiDAR(lightlaser detection and ranging)-Visual Simultaneous Localization and Mapping(SLAM).However,maintaining highprecision localization in complex scenarios,such as degraded environments or when dynamic objects are present,remains a significant *** address this issue,we integrate both semantic and texture information from LiDAR and cameras to enhance the robustness and efficiency of data ***,semantic information simplifies the modeling of scene elements,reducing the reliance on dense point clouds,which can be less ***,visual texture information complements LiDAR-Visual localization by providing additional contextual *** incorporating semantic and texture details frompaired images and point clouds,we significantly improve the quality of data association,thereby increasing the success rate of *** approach not only enhances the operational capabilities of ecological monitoring vehicles in complex environments but also contributes to improving the overall efficiency and effectiveness of ecological monitoring and environmental protection efforts.

关键词： LiDAR-Visual simultaneous localization and mapping integrated semantic texture information

热敏型生菜‘GRAND RAPIDS TBR’高效再生体系的建立

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分子植物育种 2023年第9期21卷 3009-3016页

作者：赵小刚隋心意赵榴歆靳卓宇李亚灵温祥珍山西农业大学园艺学院晋中030801

本试验以热敏型生菜‘GRAND RAPIDS TBR’为材料,分别探讨不同消毒试剂及时间对种子消毒的影响及不同生长调节剂对愈伤组织诱导、不定芽再生的影响,初步建立了高效的再生体系。结果表明:种子消毒的最适配比为75%的酒精45 s+3%的次氯酸钠... 详细信息

本试验以热敏型生菜‘GRAND RAPIDS TBR’为材料,分别探讨不同消毒试剂及时间对种子消毒的影响及不同生长调节剂对愈伤组织诱导、不定芽再生的影响,初步建立了高效的再生体系。结果表明:种子消毒的最适配比为75%的酒精45 s+3%的次氯酸钠12 min,种子成活率可达97.8%;愈伤组织诱导与不定芽分化的最适培养基为MS+0.1 mg/L 6-BA+0.5 mg/L NAA,愈伤组织诱导率100%,平均不定芽再生27.7个,且不定芽生长健壮;最适生根培养基为不添加NAA的纯MS培养基,生根率为97.8%;炼苗移栽后,植株成活率100%。本研究初步建立了‘GRAND RAPIDS TBR’的高效再生体系,为生菜基因功能研究和耐高温新品种培育提供基础。

关键词：生菜愈伤组织再生体系

Decision making module based on stochastic magnetic tunnel junctions

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Science China(Physics,Mechanics & Astronomy) 2025年第1期Mechanics & Astronomy) .卷 202-209页

作者： Yifan Miao Li zhao Yajun Zhang Zhe Yuan Center for Advanced Quantum Studies and Department of Physics Beijing Normal University Institute for Nanoelectric Devices and Quantum Computing Fudan University Interdisciplinary Center for Theoretical Physics and Information Sciences Fudan University

In biological neural systems, noise is ubiquitous but does not affect the correct decisions made in the complex cognitive ***-making in biological neural system is typically achieved by accumulating input information over a period of *** by recent developments in neurosciences, we design a decision-making module based on spintronic devices, utilizing superparamagnetic tunnel junctions as artificial neurons. The feasibility of this decision-making module is verified through circuit simulations. Taking a multi-layer perceptron as an example, the module significantly improves the accuracy of the perceptron in the handwritten digit recognition task. Furthermore, the spintronic decision-making module offers advantages over the conventional pooling methods, such as adaptive decision time, high performance and the absence of analog-to-digital conversion. The decision-making module is flexible to be integrated into artificial neural networks and provides a general yet effective solution to enhance performance against device noise.

关键词： neuromorphic computing spintronics magnetic tunnel junction neural networks

Alkaline phosphatase activity in the phosphorus-limited southern Chinese coastal waters

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Journal of Environmental Sciences 2019年第12期31卷 38-49页

作者： Wei Kang zhao-Hui Wang Lei liuxin Guo Key and Open Laboratory of Marina and Estuary Fisheries Ministry of Agriculture of ChinaEast China Sea Fisheries Research InstituteChinese Academy of Fishery SciencesShanghai 200090China College of Life Science and Technology Key Laboratory of Eutrophication and Red Tide Prevention of Guangdong Higher Education InstitutesJinan UniversityGuangzhou 510632China

Three fractions of alkaline phosphatase activity(APA),including phytoplankton APA(phyto-APA),bacterial APA(bact-APA),and free-APA,were examined in the sea surface microlayer(SML)and the subsurface water(SSW)from Daya Bay,Guishan Island,and Guanghai Bay of southern *** between APA and environmental parameters were *** growth of phytoplankton was significantly limited by dissolved inorganic phosphorus(DIP)in the three sea areas,especially in Daya *** ranged between 1.41 and 35.26 nmol/L/hr,and the highest value was found in Daya *** increased APA in Daya Bay was the result of the increase of phytoplankton biomass and the response of phytoplankton to P ***-APA was the main contributor in Daya Bay,while phyto-and free-APA co-dominated in Guishan Island and Guanghai ***-,phyto-,and total-APA showed a significant inverse power function relationship with DIP,and 0.2μmol/L was the threshold for DIP on particulates and *** correlation analysis suggested that DIP limitation together with high N levels enhanced *** water temperature and freshwater input accelerated APA as *** component analysis clearly separated samples from the three sea areas,as well as from the SML and the SSW,which indicated the differences in environmental parameters and APA *** results highlight the influence of phosphorus limitation and environmental parameters on APA.

关键词： Alkaline phosphatase Phosphorus limitation Southern Chinese coast Phytoplankton The sea surface microlayer Daya Bay

A Generative Model-Based Network Framework for Ecological Data Reconstruction

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Computers, Materials & Continua 2025年第1期82卷 929-948页

作者： Shuqiao Liu zhao Zhang Hongyan Zhou Xuebo Chen School of Electronic and Information Engineering University of Science and Technology LiaoningAnshan114051China School of Computer Science and Software Engineering University of Science and Technology LiaoningAnshan114051China

This study examines the effectiveness of artificial intelligence techniques in generating high-quality environmental data for species introductory site selection *** Strengths,Weaknesses,Opportunities,Threats(SWOT)analysis data with Variation Autoencoder(VAE)and Generative AdversarialNetwork(GAN)the network framework model(SAE-GAN),is proposed for environmental data *** model combines two popular generative models,GAN and VAE,to generate features conditional on categorical data embedding after SWOT *** model is capable of generating features that resemble real feature distributions and adding sample factors to more accurately track individual sample *** data is used to retain more semantic information to generate *** model was applied to species in Southern California,USA,citing SWOT analysis data to train the *** show that the model is capable of integrating data from more comprehensive analyses than traditional methods and generating high-quality reconstructed data from them,effectively solving the problem of insufficient data collection in development *** model is further validated by the Technique for Order Preference by Similarity to an Ideal Solution(TOPSIS)classification assessment commonly used in the environmental data *** study provides a reliable and rich source of training data for species introduction site selection systems and makes a significant contribution to ecological and sustainable development.

关键词： Convolutional Neural Network(CNN) VAE GAN TOPSIS data reconstruction

IDSSCNN-XgBoost:Improved Dual-Stream Shallow Convolutional Neural Network Based on Extreme Gradient Boosting Algorithm for Micro Expression Recognition

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Computers, Materials & Continua 2025年第1期82卷 729-749页

作者： Adnan Ahmad zhao Li Irfan Tariq Zhengran He School of Information Science and Engineering Southeast UniversityNanjing210016China

Micro-expressions(ME)recognition is a complex task that requires advanced techniques to extract informative features fromfacial *** deep neural networks(DNNs)with convolutional structures have been ***,unlike DNNs,shallow convolutional neural networks often outperform deeper models in mitigating overfitting,particularly with small ***,many of these methods rely on a single feature for recognition,resulting in an insufficient ability to extract highly effective *** address this limitation,in this paper,an Improved Dual-stream Shallow Convolutional Neural Network based on an Extreme Gradient Boosting Algorithm(IDSSCNN-XgBoost)is introduced for ME *** proposed method utilizes a dual-stream architecture where motion vectors(temporal features)are extracted using Optical Flow TV-L1 and amplify subtle changes(spatial features)via EulerianVideoMagnification(EVM).These features are processed by IDSSCNN,with an attention mechanism applied to refine the extracted effective *** outputs are then fused,concatenated,and classified using the XgBoost *** comprehensive approach significantly improves recognition accuracy by leveraging the strengths of both temporal and spatial information,supported by the robust classification power of *** proposed method is evaluated on three publicly available ME databases named Chinese Academy of Sciences Micro-expression Database(CASMEII),Spontaneous Micro-Expression Database(SMICHS),and Spontaneous Actions and Micro-Movements(SAMM).Experimental results indicate that the proposed model can achieve outstanding results compared to recent *** accuracy results are 79.01%,69.22%,and 68.99%on CASMEII,SMIC-HS,and SAMM,and the F1-score are 75.47%,68.91%,and 63.84%,*** proposed method has the advantage of operational efficiency and less computational time.

关键词： ME recognition dual stream shallow convolutional neural network euler video magnification TV-L1 XgBoost

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基于数学期望的核酸检测最优分组分析

渤海大学学报（自然科学版） 2023年第2期44卷 147-152页

作者：洪海燕赵柳鑫刘凌志周程欣安徽大学江淮学院公共基础教学部安徽合肥230031 安徽大学江淮学院理工部安徽合肥230031

新冠疫情给人们的生活和健康带来极大的影响,为了有效控制疫情的传播,核酸检测必不可少.基于我国巨大的检测人数和有限的公共卫生资源,如何低成本、高效率地进行核酸检测值得深思.结合不同省市官方疫情数据和MATLAB模拟,建立模型进行理... 详细信息

新冠疫情给人们的生活和健康带来极大的影响,为了有效控制疫情的传播,核酸检测必不可少.基于我国巨大的检测人数和有限的公共卫生资源,如何低成本、高效率地进行核酸检测值得深思.结合不同省市官方疫情数据和MATLAB模拟,建立模型进行理论和实际的计算,面对不同情况给出相应的调整方案,根据感染率给出最优混检人数.

关键词：核酸检测混合检测数学期望组合分析最优分组

Dual‑Donor‑Induced Crystallinity Modulation Enables 19.23% Efficiency Organic Solar Cells

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Nano-Micro Letters 2025年第3期17卷 376-388页

作者： Anhai Liang Yuqing Sun Sein Chung Jiyeong Shin Kangbo Sun Chaofeng Zhu Jingjing zhao Zhenmin zhao Yufei Zhong Guangye Zhang Kilwon Cho Zhipeng Kan Center On Nanoenergy Research Institute of Science and Technology for Carbon Peak&NeutralitySchool of Physical Science&TechnologyGuangxi UniversityNanning 530004People’s Republic of China Department of Chemical Engineering Pohang University of Science and TechnologyPohang 37673South Korea College of New Materials and New Energies Shenzhen Technology UniversityShenzhen 518118People’s Republic of China Zhejiang Engineering Research Center for Fabrication and Application of Advanced Photovoltaic Materials School of Materials Science and EngineeringNingboTech UniversityNingbo 315100People’s Republic of China State Key Laboratory of Featured Metal Materials and Life-Cycle Safety for Composite Structures Nanning 530004People’s Republic of China

Trap-assisted charge recombination is one of the primary limitationsof restricting the performance of organic solar cells. However, effectivelyreducing the presence of traps in the photoactive layer remains ***, wide bandgap polymer donor PTzBI-dF is demonstrated as an effectivemodulator for enhancing the crystallinity of the bulk heterojunction active layerscomposed of D18 derivatives blended with Y6, leading to dense and orderedmolecular packings, and thus, improves photoluminescence quenching *** a result, the photovoltaic devices exhibit reduced trap-assisted charge recombinationlosses, achieving an optimized power conversion efficiency of over 19%.Besides the efficiency enhancement, the devices comprised of PTzBI-dF as athird component simultaneously attain decreased current leakage, improved chargecarrier mobilities, and suppressed bimolecular charge recombination, leading toreduced energy losses. The advanced crystalline structures induced by PTzBI-dFand its characteristics, such as well-aligned energy level, and complementaryabsorption spectra, are ascribed to the promising performance *** findings suggest that donor phase engineering is a feasible approach to tuning the molecular packings in the active layer, providingguidelines for designing effective morphology modulators for high-performance organic solar cells.

关键词： Trap-assisted charge recombination Photoluminescence Miscibility Current leakage Power conversion efficiency