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Development of Machine Learning Methods for Accurate Prediction of Plant Disease Resistance

Engineering 2024年第9期40卷 100-110页

作者： Qi Liu Shi-min Zuo Shasha Peng Hao Zhang Ye Peng Wei Li Yehui Xiong Runmao Lin Zhiming Feng Huihui Li Jun Yang Guo-Liang Wang Houxiang Kang State Key Laboratory for Biology of Plant Diseases and Insect Pests Institute of Plant ProtectionChinese Academy of Agricultural SciencesBeijing 100193China Zhongshan Biological Breeding Laboratory&Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding Agricultural College of Yangzhou UniversityYangzhou 225009China Hunan Provincial Key Laboratory of Crop Germplasm Innovation and Utilization and College of Agronomy Hunan Agricultural UniversityChangsha 410128China State Key Laboratory of Crop Gene Resources and Breeding Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijing 100081China College of Plant Protection Hunan Agricultural UniversityChangsha 410128China Key Laboratory of Green Prevention and Control of Tropical Plant Diseases and Pests Ministry of Education College of Plant ProtectionHainan UniversityHaikou 570228China MARA Key Laboratory of Surveillance and Management for Plant Quarantine Pests Department of Plant BiosecurityCollege of Plant ProtectionChina Agricultural UniversityBeijing 100193China Department of Plant Pathology Ohio State UniversityColumbusOH 43210USA

The traditional method of screening plants for disease resistance phenotype is both time-consuming and *** selection offers a potential solution to improve efficiency,but accurately predicting plant disease resistance remains a *** this study,we evaluated eight different machine learning(ML)methods,including random forest classification(RFC),support vector classifier(SVC),light gradient boosting machine(lightGBM),random forest classification plus kinship(RFC_K),support vector classification plus kinship(SVC_K),light gradient boosting machine plus kinship(lightGBM_K),deep neural network genomic prediction(DNNGP),and densely connected convolutional networks(DenseNet),for predicting plant disease *** results demonstrate that the three plus kinship(K)methods developed in this study achieved high prediction ***,these methods achieved accuracies of up to 95%for rice blast(RB),85%for rice black-streaked dwarf virus(RBSDV),and 85%for rice sheath blight(RSB)when trained and applied to the rice diversity panel I(RDPI).Furthermore,the plus K models performed well in predicting wheat blast(WB)and wheat stripe rust(WSR)diseases,with mean accuracies of up to 90%and 93%,*** assess the generalizability of our models,we applied the trained plus K methods to predict RB disease resistance in an independent population,rice diversity panel II(RDPII).Concurrently,we evaluated the RB resistance of RDPII cultivars using spray *** the predictions with the spray inoculation results,we found that the accuracy of the plus K methods reached 91%.These findings highlight the effectiveness of the plus K methods(RFC_K,SVC_K,and lightGBM_K)in accurately predicting plant disease resistance for RB,RBSDV,RSB,WB,and *** methods developed in this study not only provide valuable strategies for predicting disease resistance,but also pave the way for using machine learning to streamline genome-based crop breeding.

关键词： Predicting plant disease resistance Genomic selection Machine learning Genome-wide association study

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Green manufacturing for achieving carbon neutrality goal requires innovative technologies:A bibliometric analysis from 1991 to 2022

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Journal of Environmental Sciences 2024年第6期140卷 255-269页

作者： Sheng Zhang Xintian Wang Jiayu Xu Qinqin Chen Meng Peng Jiming Hao School of Environment Tsinghua UniversityBeijing 100084China School of Environment&Natural Resources Renmin University of ChinaBeijing 100872China State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing 100084China

Recent years have seen a significant increase in interest in green manufacturing as a key driver of global carbon-neutral efforts and sustainable *** find the research hotspots of green manufacturing and reveal future research trends,this study reviewed and analyzed research articles from the Web of Science database on green manufacturing from1991 to 2022 using a bibliometric *** findings indicate a significant rise in the number of articles related to green manufacturing since the ***,there has been an increase in the involvement of scholars from developing countries such as China and India in this *** on the literature review and bibliometric cluster analysis on green manufacturing,we believed that future research may continue following the lines of intelligent technology integration,adoption of frontier engineering techniques,and industry development in line with carbon reduction targets.A framework for future green manufacturing development is proposed,with a focus on Chinese *** framework could provide policy implications for developing countries looking to pursue opportunities for development in green manufacturing.

关键词： Green manufacturing Carbon neutrality Sustainable development Innovative technologies China

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Cyclodextrin-boosted photocatalytic oxidation for efficient bisphenol A removal

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Chinese Chemical Letters 2025年第3期36卷 156-163页

作者： Qinwei Lu Jinjie Lu Juying Lei Xubiao Luo Yanbo Zhou State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process East China University of Science and TechnologyShanghai 200237China Shanghai Institute of Pollution Control and Ecological Security Shanghai 200092China School of Life Science Jinggangshan UniversityJi’an 343009China

Wastewater contains various high-risk trace organic pollutants,such as antibiotics and endocrine disruptors,which seriously restrict wastewater ***-based functional materials show great potential in the removal of trace pollutants because of their adsorption catalytic *** the synergistic mechanism of cyclodextrin in oxidation is the key issue in confined catalytic oxidation process *** this work,we fabricated a BiOIO_(3)@BiOBr/β-CD heterojunction photocatalyst to study the synergistic mechanism of cyclodextrin in the photocatalytic oxidation *** synergistic mechanism of cyclodextrin was investigated by combining radical chemistry,electrochemistry,spectroscopy,and timedependent density functional *** showed that the excited intermediate free radicals played an important role in promoting the photocatalytic degradation *** heterojunction photocatalyst loaded withβ-cyclodextrin(β-CD)at the electronic end(C[Cat.]=0.2mg/mL)removed about 97%of bisphenol A(BPA)within 30min,and the first-order kinetic constant(k_(CDBIB)=0.112 min^(−1))was about twice that of the unloadedβ-CD(k_(BIB)=0.057 min^(−1)).Cyclodextrin loading improved the photocatalytic performance of the heterojunction and stimulated the intermediate to increase the free radical yield and regulate the reaction path.

关键词： Photocatalysis β-Cyclodextrin Bisphenol A Confined catalysis Organic free radical

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Mercury records from natural archives reveal ecosystem responses to changing atmospheric deposition

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National Science Review 2024年第12期11卷 213-225页

作者： Qinqin Chen Qingru Wu Yuying Cui Shuxiao Wang School of Environment Tsinghua University State Key Joint Laboratory of Environmental Simulation and Pollution Control State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex

Global ecosystems face mercury contamination, yet long-term data are scarce, hindering understanding of ecosystem responses to atmospheric Hg input changes. To bridge the data gap and assess ecosystem responses, we compiled and compared a mercury accumulation database from peat, lake, ice and marine deposits worldwide with atmospheric mercury deposition modelled by GEOS-Chem, focusing on trends,magnitudes, spatial–temporal distributions and impact factors. The mercury fluxes in all four deposits showed a 5-to 9-fold increase over 1700–2012, with lake and peat mercury fluxes that generally mirrored atmospheric deposition trends. Significant decreases in lake and peat mercury fluxes post-1950 in Europe evidenced effective environmental policies, whereas rises in East Asia, Africa and Oceania highlighted coal-use impacts, inter alia. Conversely, mercury fluxes in marine and high-altitude ecosystems did not align well with atmospheric deposition, emphasizing natural influences over anthropogenic impacts. Our study underscores the importance of these key regions and ecosystems for future mercury management.

关键词： mercury pollution natural archive GEOS-Chem ecosystem recovery policy evaluation

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Frequency Regulation Potential Evaluation of Temperature-controlled Load Aggregators Considering Demand Response Willingness 6

Frequency Regulation Potential Evaluation of Temperature-Con...

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6th IEEE Conference on Energy Internet and Energy System Integration, EI2 2022

作者： Yu, Jie Yang, Jiaqi Ding, Qia Tu, Mengfu Ji, Weixi Southeast University Electrical Engineering Nanjing China State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (纸本)9798350347159

The frequency regulation potential of temperature-controlled load aggregators means that, the total load reduction that all the aggregated temperature-controlled load users can participate in the frequency regulation. User demand response willingness refers to the willingness of users to adjust electricity consumption according to the price of electricity sales to provide demand response based on their own demand response elasticity. This paper establishes a user demand response willingness model including two parts of electricity cost change and temperature change, which is used to characterize the relationship between user frequency regulation potential and electricity price;then proposes a time series chained two-dimensional cloud generator algorithm for the willingness model to predict the temperature-controlled load operating state in the temperature-controlled load, and finally establish a two-layer model to optimize the frequency regulation potential of the temperature-controlled load aggregator, with the frequency regulation potential as the solution variable. The effectiveness of the algorithm and the model are verified through calculation examples, and sensitivity analysis is carried out. © 2022 IEEE.

关键词： Sensitivity analysis

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Experimental and numerical investigations of biochar-facilitated Cd^(2+)transport in saturated porous media:role of solution pH and ionic strength

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Biochar 2023年第1期5卷 175-190页

作者： Dan Zhou Xingyue Bao Zhe Chen Rui Liu Mingzheng Huang Yonglian Xia Chao Li Yi Huang State Environmental Protection Key Laboratory of Synergetic Control and Joint Remediation for Soil&Water Pollution College of Ecology and EnvironmentChengdu University of Technology610059 ChengduChina State Key Laboratory of Geohazard Prevention and Geoenvironment Protection Chengdu University of Technology610059 ChengduChina College of Geosciences Chengdu University of Technology610059 ChengduChina.

The nanoscale biochar(N-BC)generated during the production and weathering of bulk biochar has caused significant concerns for its cotransport with contaminants spreading the *** this study,the cotransport behaviors of N-BC with Cd^(2+)under variable solution chemistry were investigated for the first time,which can pose environmental contamination risks but have received little *** column experiment results showed that increasing ionic strength(IS)or decreasing pH retarded the transport of N-BC but promoted the transport of Cd^(2+)in their individual *** cotransport scenarios,Cd^(2+)facilitated the deposition of N-BC on the quartz sand with increasing IS or decreasing pH by providing additional sorption sites and led to the ripening of N-BC via cation bridging.N-BC retarded the transport of Cd^(2+)under all ***,lower pH and higher IS could facilitate the release of Cd^(2+)from the immobile *** cotransport modeling results demonstrated that the Cd^(2+)adsorption on and desorption from the immobile N-BC controlled the retention and release of Cd^(2+)under variable pH and IS,while the influence of mobile N-BC on Cd^(2+)transport was *** study provided new insight for evaluating the potential contamination-spreading risks and suggested that rational use of biochar with great caution is necessary.

关键词： Nanoscale biochar Cadmium Cotransport Numerical modeling

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National Carbon Market Supply Demand Balance Analysis Based on Unit Level Heterogeneous Characteristic Modeling 11

National Carbon Market Supply Demand Balance Analysis Based ...

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11th International Conference on Innovative smart Grid Technologies - Asia, ISGT-Asia 2022

作者： Lai, Yening Zhang, Yifei Huang, Jie Chen, Xuetong NARI Technology Co. Ltd. State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (纸本)9798350399660

The national carbon market is the major market mechanism supporting China's '30•60' target. This market involves natural sciences, such as energy technology and climate science, and social sciences, such as politics and economics related to energy economy, policy, and human behavior. This makes the carbon market a typical cyber-physical-social system in energy (CPSSE). This paper focuses on modeling objective physical parameters associated with market participants. The paper proposes a model and value assignment method for unit-level heterogeneous parameters and constructs a unit-level dataset of national carbon market participants. The influences of the heterogeneous levels of different parameters on the micro supply-demand balance are then evaluated. The study details the quantitative influences of the proportion of units without key parameter measurements and the shape of the distribution of the units' coal consumption rates. This study establishes a unit-level model and parameter foundation for conducting a national carbon market hybrid simulation. © 2022 IEEE.

关键词： Carbon

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key Feature Selection Method for Intelligent Assessment of Transient Power Angle Stability based on Physical Mechanism and Improved Relief

Key Feature Selection Method for Intelligent Assessment of T...

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2022 Power System and Green Energy Conference, PSGEC 2022

作者： Zhang, Yin Xu, Taishan Ren, Xiancheng Nari Technology Co. Ltd. State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (数字)9781665499934

ISBN: (纸本)9781665499934

key feature selection is of great significance for intelligent assessment of transient power angle stability of power system. This paper proposes a key feature selection method combining physical mechanism and improved Relief. The Relief index reflects the strength of the feature to classify transient power angle stability and instability. By eliminating redundancy and increasing the weight of unstable samples, the accuracy of index calculation and the ability to adapt to sample imbalance are improved. Through the combination of physical mechanism and improved Relief, the key feature quantities reflecting the stability of transient angle can be comprehensively selected by iterative optimization, and the problem of missing selection of key feature parameters under complex transient stability can be solved. The effectiveness of the method is verified by an actual power grid example. © 2022 IEEE.

关键词： Transients

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Design and fabrication of bipolar plates for PEM water electrolyser

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Journal of Materials Science & Technology 2023年第15期146卷 19-41页

作者： Xiejing Luo Chenhao Ren Jie Song Hong Luo Kui Xiao Dawei Zhang Junjie Hao Zhanfeng Deng Chaofang Dong Xiaogang Li Beijing Advanced Innovation Center for Materials Genome Engineering Key Laboratory for Corrosion and Protection(MOE)Beijing 100083China Institute for Advanced Materials and Technology University of Science and Technology BeijingBeijing 100083China State Key Laboratory of Advanced Power Transmission Technology State Grid Smart Grid Research Institute Co.Ltd.Beijing 102209China

Hydrogen energy,whether in generation plants or utilization facilities,plays a decisive role in the mission to achieve net-zero greenhouse gas emissions,all to minimize *** growing demand for clean energy carrier steadily accelerates the development of hydrogen production processes,and therein proton exchange membrane(PEM)water electrolysis is deemed a promising long-term strategy for hydrogen preparation and *** review retrospects recent developments and applications of bipolar plates(BPs)as key components in PEM fuel cells and water *** main content includes multifaceted challenges in the R&D or fabrication of BPs and potential future trends have also been *** details cover the BPs matrix(metallic materials and carbon composites)and the surface coating types(metal and compound coatings,carbon-based coatings,and polymer coatings),as well as the influence of flow field design for mass ***-term development and feasible researches of BPs are *** in the following aspects:(1)Structural and functional integration of components,such as material fabrication and flow field geometry optimization using 3D printing technology;(2)Introduction of environment-friendly renewable energy for hydrogen production;(3)Research on hydrogen energy reversible systems;(4)Composition optimization of surface coatings based on computational materials science and(5)systematic design expected to evolve into the next generation of BPs.

关键词： PEM water electrolyser Bipolar plates Corrosion Coatings Interfacial contact resistance

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Evolution hydrothermal aging resistance mechanism study of zirconium and manganese doped CeO_(2)catalysts in soot catalytic combustion based on low Miller indices crystal surface effect

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Journal of Rare Earths 2024年第7期42卷 1272-1281,I0003页

作者： Zonglin Li Pan Wang Hong Ni Chengcheng Ao Lidong Zhang Hefeng Zhang Kai Li School of Automotive and Traffic Engineering Jiangsu UniversityZhenjiang212013China State Environmental Protection Key Laboratory of Vehicle Emission Control and Simulation Chinese Research Academy of Environmental ScienceBeijing100012China National Synchrotron Radiation Laboratory University of Science and Technology of ChinaHefei230026China

The thermogravimetric analysis(TGA)experiments were carried out to reveal the mechanism of Zr and Mn doping on catalytic activity of CeO_(2)catalyst both fresh and after hydrothermal aging,and the lattice morphology and valence changes were characterized by means of Brunauer-Emmett-Teller(BET)method,X-ray diffraction(XRD),X-ray photoelectron spectroscopy(XPS),and H_(2)-temperature programmed reduction(H_(2)-TPR).Density functional theory(DFT)and molecular thermodynamics calculations were applied to investigate the change in catalytic activity,crystal surface energy and crystal morphology caused by hydrothermal *** maximum reaction rate temperature of fresh Mn/CeO_(2)(389℃)is similar to that of CeO_(2)(371℃)and lower than that of Zr/CeO_(2)(447℃),but the catalytic performance of CeO_(2)decreases more severely after hydrothermal *** catalyst crystals show different degrees of crystal surface migration after hydrothermal aging,which leads to the reduction of Ce^(3+)/Ce^(4+) ratio and the active sites *** calculations indicate that the doping of Zr and Mn reduces the surface energy of the low Miller indices surface and increases the oxygen vacancy formation energy,leading to better thermal stability and lower catalytic *** Zr and Mn doping also changes the adsorption energy and Gibbs free energy of H_(2)O,which dominates the migration of(111)to(110)and(100)in the vapor *** crystal surface migration mechanism of CeO_(2)catalysts doped with Zr and Mn induced by H_(2)O molecules at high temperature obtained in this study can provide a valuable addition to the regeneration of CeO_(2)catalysts in the after-treatment systems of diesel engines.

关键词： Soot CeO_(2)-based catalyst CDPF Rare earth metal oxides DFT calculations

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