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Tissue distribution of.cadmium and its ef.ect on reproduction in Spodoptera exigua

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Journal of.Integrative Agriculture 2024年第1期23卷 195-204页

作者： Honghua Su Menglu Wu Yong yang yan Deng Yizhong yang Qingming Sun College of.Plant Protection Yangzhou UniversityYangzhou 225009China Institute of.f.uit Tree Research Guangdong Academy of Agricultural Sciences/Key Laboratory of South Subtropical Fruit Biology and Genetic Resource UtilizationMinistry of Agriculture and Rural Affairs/Guangdong Provincial Key Laboratory of Tropical and Subtropical Fruit Tree ResearchGuangzhou 510640China

Vegetable f.elds are of.en contaminated by heavy metals,and Spodoptera exigua is a major vegetable pest which is stressed by heavy metals mainly by *** this study,cadmium accumulation in the tissues of.*** exposed to cadmium and its ef.ects on the growth and development of.the parents and the of.spring were *** the stress of.dif.erent concentrations of.cadmium(0.2,3.2,and 51.2 mg kg^(-1)),the cadmium content in each tissue of.*** increased in a dose-dependent *** the larval stage,the highest cadmium accumulation was f.und in midgut in all three cadmium treatments,but at the adult stage,the highest cadmium content was f.und in f.t *** addition,the cadmium content in ovaries was much higher than in *** *** was stressed by cadmium and the f.(2)generation was not f.d a cadmium-containing diet,the larval survival,pupation rate,emergence rate and f.cundity of.the f.(2)generation were signif.cantly reduced in the 51.2 mg kg^(-1)treatment compared to the corresponding *** in the f.(2)generation of.the 3.2 mg kg^(-1)treatment,the f.cundity was signif.cantly lower than in the parental *** f.cundity of.the only-f.male stressed treatment was signif.cantly lower than that of.the only-male stressed treatment at the 3.2 and 51.2 mg kg^(-1)cadmium exposure *** only mothers were stressed at the larval stage,the f.cundity of.the f.(2)generation was signif.cantly lower than that of.the f.generation in the 51.2 mg kg^(-1)treatment,and it was also signif.cantly lower than in the 3.2 and 0.2 mg kg^(-1)*** results of.our study can provide usef.l inf.rmation f.r f.recasting the population increase trends under dif.erent heavy metal stress conditions and f.r the reliable environmental risk assessment of.heavy metal pollution.

关键词： heavy metal pollution cadmium Spodoptera exigua tissue distribution reproduction

Research on the identif.cation of.the production origin of.Angelica dahurica using LIBS technology combined with machine learning algorithms

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Optoelectronics Letters 2024年第3期20卷 171-176页

作者： SUN Jiaxing LI Honglian YAO Yuhang yan Qiongyan DONG f.ng College of.Quality and Technology Supervising Hebei UniversityBaoding 071000China National and Local Joint Engineering Center of.Measuring Instruments and Metrology Systems Baoding 071000China Key Laboratory of.Energy Measurement and Saf.ty Detection Technology in Hebei Province Baoding 071000China

The origin of.Angelica dahurica medicinal herbs varies, and their pharmacological ef.ects also dif.er. In order to achieve rapid and accurate identif.cation of.the origin of.Angelica dahurica medicinal herbs, this study utilizes laser induced breakdown spectroscopy(LIBS) technology combined with machine learning algorithms to identif. the original source of.Angelica dahurica. Sliced samples of.Angelica dahurica were taken f.om f.ur regions: Hebei, Henan, Zhejiang, and Sichuan. The spectral data f.om the sliced samples were used as f.atures, and dif.erent algorithms including support vector machine(SVM), back propagation(BP) neural network, genetic algorithm-back propagation(GA-BP) neural network, particle swarm optimization-back propagation(PSO-BP) neural network, convolutional neural network(CNN), and CNN-SVM were employed to classif. the origin of.Angelica dahurica samples.

关键词： neural origin network

The moment map f.r the variety of.associative algebras

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Science China Mathematics 2024年

作者： Hui Zhang Zaili yan School of.Mathematics Southeast University School of.Mathematics and Statistics Ningbo University

We consider the moment map m:PV_n→iu（n） f.r the action of.GL（n） on Vn=?2（C~n）*?C~n,and study the critical points of.the f.nctional ■:PVn→***,we prove that[μ]∈PV_n is a critical point if.and only if.Mμ=cμI+Dμf.r some cμ∈R and Dμ∈Der（μ）,where ■.Then we show that any algebraμadmits a Nikolayevsky derivation?μwhich is unique up to automorphism,and if.moreover,[μ]is a critical point of.f.,then■ .Secondly,we characterize the maxima and minimatof.the f.nctional f.n:A_n→R,where An denotes the projectivization of.the algebraic varieties of.all the n-dimensional associative ***,f.r an arbitrary critical point[μ]of.f.n:A_n→R,we obtain a description of.the algebraic structure of..f.nally,we classif. the critical points of.f.n:A_n→R f.r n=2and n=3,respectively.

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Intelligent overheating f.ult diagnosis f.r overhead transmission line using semantic segmentation

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High Voltage 2024年第2期9卷 309-318页

作者： Xiangyu yang Youping Tu Zhikang Yuan Zhong Zheng Geng Chen Cong Wang yan Xu Beijing Key Laboratory of.High Voltage and EMC North China Electric Power UniversityBeijingChina College of.Electronic and Inf.rmation Engineering Tongji UniversityShanghaiChina

The strain clamps and leading wires are important components that connect conductors on overhead transmission lines and conduct *** operation,poor contact between these components can cause abnormal overheating,leading to electric f.ilures and threatening power system ***,the use of.unmanned aerial vehicles equipped with inf.ared thermal imagers f.r strain clamp and leading wire maintenance has become increasingly *** learning-based image recognition shows promising prospects f.r intelligent f.ult diagnosis of.overheating f.ults.A pre-treatment method is proposed based on dynamic histogram equalisation to enhance the contrast of.inf.ared *** DeepLab v3+network,loss f.nction,and existing networks with dif.erent backbones are *** DeepLab v3+network with ResNet101 and convolutional block attention module added,and the f.cal Loss f.nction achieved the highest perf.rmance with an average pixel accuracy of.0.614,an average intersection over union(AIoU)of.0.567,an f. score of.0.644,and a f.equency weighted intersection over union of.0.594 on the test *** optimised Atrous rates has increased the AIoU by 12.91%.Moreover,an intelligent diagnosis scheme f.r evaluating the def.ct state of.the strain clamps and leading wires is proposed and which achieves a diagnostic accuracy of.91.0%.

关键词： union f.ult diagnosis

Evolutionary Neural Architecture Search and Its Applications in Healthcare

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Computer Modeling in Engineering & Sciences 2024年第4期139卷 143-185页

作者： Xin Liu Jie Li Jianwei Zhao Bin Cao Rongge yan Zhihan Lyu School of.Economics and Management Hebei University of TechnologyTianjin300401China School of.Artif.cial Intelligence Hebei University of TechnologyTianjin300401China School of.Electrical Engineering Hebei University of TechnologyTianjin300401China Department of.Game Design Uppsala UniversityUppsalaS-75105Sweden

Most of.the neural network architectures are based on human experience,which requires a long and tedious trial-and-error *** architecture search(NAS)attempts to detect ef.ective architectures without human *** algorithms(EAs)f.r NAS can f.nd better solutions than human-designed architectures by exploring a large search space f.r possible *** multiobjective EAs f.r NAS,optimal neural architectures that meet various perf.rmance criteria can be explored and discovered ***,hardware-accelerated NAS methods can improve the ef.iciency of.the *** existing reviews have mainly f.cused on dif.erent strategies to complete NAS,a f.w studies have explored the use of.EAs f.r *** this paper,we summarize and explore the use of.EAs f.r NAS,as well as large-scale multiobjective optimization strategies and hardware-accelerated NAS *** perf.rms well in healthcare applications,such as medical image analysis,classif.cation of.disease diagnosis,and health *** f.r NAS can automate the search process and optimize multiple objectives simultaneously in a given healthcare *** neural network has been successf.lly used in healthcare,but it lacks *** data is highly sensitive,and privacy leaks are f.equently reported in the healthcare *** solve these problems,in healthcare,we propose an interpretable neuroevolution f.amework based on f.derated learning to address search ef.iciency and privacy ***,we also point out f.ture research directions f.r evolutionary ***,f.r researchers who want to use EAs to optimize NNs in healthcare,we analyze the advantages and disadvantages of.doing so to provide detailed guidance,and propose an interpretable privacy-preserving f.amework f.r healthcare applications.

关键词： Neural architecture search evolutionary computation large-scale multiobjective optimization distributed parallelism healthcare

Optimized Auxiliary f.equency Control of.Wind f.rm Based on Piecewise Reduced-order f.equency Response Model

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Journal of.Modern Power Systems and Clean Energy 2024年第3期12卷 791-802页

作者： Xu Zhang Chen Zhao Junchao Ma Long Zhang Dan Sun Chenxu Wang yan Peng Heng Nian the School of.Electrical Engineering Zhejiang UniversityHangzhou 310058China Electric Power Research Institute of.State Grid Zhejiang Electric Power Corporation Hangzhou 310014China

With the increasing wind power penetration in the power system,the auxiliary f.equency control(Af.)of.wind f.rm(Wf.has been widely *** traditional system f.equency response(Sf.)model is not suitable f.r the wind power generation system due to its poor accuracy and *** this paper,a piecewise reduced-order f.equency response(PROf.)model is proposed,and an optimized auxiliary f.equency control(O-Af.)scheme of.Wf.based on the P-ROf. model is ***,a f.ll-order f.equency response model considering the change in operating point of.wind turbine is established to improve the *** order to simplif. the f.llorder model,a P-ROf. model with second-order structure and high accuracy at each f.equency response stage is *** on the proposed P-ROf. model,the relationship between the f.equency response indexes and the auxiliary f.equency controller coef.icients is expressed ***,an OAf. scheme with the derived explicit expression as the optimization objective is proposed in order to improve the f.equency support capability on the premise of.ensuring the f.ll release of.the rotor kinetic energy and the f.ll use of.the ef.ect of.time delay on f.equency ***,the ef.ectiveness of.the proposed P-ROf. model and the perf.rmance of.the proposed OAf. scheme are verif.ed by simulation studies.

关键词： f.equency response piecewise reduced-order wind f.rm auxiliary f.equency control

Identif.ing the geographical origin and processing technology of.Moyao(Myrrh)on the basis of.near-inf.ared spectroscopy combined with chemometrics

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Journal of.Traditional Chinese Medicine 2024年第3期44卷 505-514页

作者： XU Ningning yan Ganming XU f.ngjie DENG Linf.ng QIAO Xinjiang LU Changzheng CHENG Shaomin TCM Diagnosis Institute College of Traditional Chinese MedicineJiangxi University of Chinese MedicineNanchang 330004China TCM Processing Institute Pharmaceutical CollegeJiangxi University of Chinese medicineNanchang 330004China School of.Electronic Inf.rmation and Artif.cial Intelligence Shaanxi University of Science and TechnologyXi'an 710021China Jiangzhong Pharmaceutical Co. Ltd.Nanchang 330096China Jiangxi Guhan Ref.ned Chinese Herbal Pieces Co. Ltd.Nanchang330041.China

OBJECTIVE:To evaluate the quality of.Moyao(Myrrh)in the identif.cation of.the geographical origin and processing of.the ***:Raw Moyao(Myrrh)and two kinds of.Moyao(Myrrh)processed with vinegar f.om three countries were identif.ed using near-inf.ared(NIR)spectroscopy combined with chemometric *** component analysis(PCA)was used to reduce the dimensionality of.the data and visualize the clustering of.samples f.om dif.erent categories.A classical chemometric algorithm(PLS-DA)and two machine learning algorithms[K-nearest neighbor(KNN)and support vector machine]were used to conduct a classif.cation analysis of.the near-inf.ared spectra of.the Moyao(Myrrh)samples,and their discriminative perf.rmance was ***:Based on the accuracy,precision,recall rate,and f. value in each model,the results showed that the classical chemometric algorithm and the machine learning algorithm obtained positive *** all of.the chemometric analyses,the NIR spectrum of.Moyao(Myrrh)preprocessed by standard normal variation or Multivariate scattering correction combined with KNN achieved the highest accuracy in identif.ing the geographical origins,and the accuracy of.identif.ing the processing technology established by the KNN method af.er f.rst-order derivative pretreatment was the *** best accuracy of.geographical origin discrimination and processing technology discrimination were 0.9853 and 0.9706 ***:NIR spectroscopy combined with chemometric technology can be an important tool f.r tracking the origin and processing technology of.Moyao(Myrrh)and can also provide a ref.rence f.r evaluations of.its quality and the clinical use.

关键词： Moyao(Myrrh) near-inf.ared spectroscopy geographical origin processing technology

Laboratory and numerical modelling of.irrigation inf.ltration and nitrogen leaching in homogeneous soils

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Pedosphere 2024年第1期34卷 146-158页

作者： Lei WU Ruizhi LI yan WANG Zongjun GUO Jiaheng LI Hang yanG Xiaoyi MA Key Laboratory of.Agricultural Soil and Water Engineering in Arid and Semiarid Areas Ministry of EducationNorthwest A&F UniversityYangling 712100China Blackland Research and Extension Center Texas A&M AgriLife ResearchTexas A&M UniversityTemple TX 76502USA State Key Laboratory of.Soil Erosion and Dryland f.rming on the Loess Plateau Northwest A&F UniversityYangling 712100China College of.Water Resources and Architectural Engineering Northwest A&F UniversityYangling 712100China

Nitrogen (N) plays a key role in crop growth and production;however,data are lacking especially regarding the interaction of.biochar,grass cover,and irrigation on N leaching in saturated soil *** soil columns with 20-cm diameter and 60-cm height were designed to characterize the ef.ects of.dif.erent grass cover and biochar combinations,i.e.,bare soil+0%biochar (control,CK),perennial ryegrass+0%biochar (C1),f.stuca arundinacea+0%biochar (C2),perennial ryegrass+1%biochar (C3),perennial ryegrass+2%biochar (C4),perennial ryegrass+3%biochar (C5),***+1%biochar (C6),***+2% biochar (C7),and ***+3%biochar (C8),on periodic irrigation inf.ltration and N leaching in homogeneous loess soils f.om July to December *** in CK were 10.2%–35.3%higher than those in C1 and *** perennial ryegrass and *** decreased the volumes of.leachates and delayed the leaching process in the 1%,2%,and 3%biochar treatments,and the vertical leaching rate decreased with biochar *** N leaching losses were concentrated in the f.rst f.w leaching tests,and both total N (TN) and nitrate (NO_(3)^(-))-N concentrations in CK and C1–C8 decreased with increasing leaching test *** addition (1%,2%,and 3%) could f.rther reduce the leaching risk of.NO_(3)^(-)-N and the NO_(3)^(-)-N loss decreased with biochar ***,compared to 1%biochar,2% biochar promoted the leaching of.TN under both grass cover *** N leaching losses in CK,C1,C2,C3,C4,C6,and C7 were primarily in the f.rm of.NO_(3)^(-)-*** these treatments,CK,C1,and C2had the highest cumulative leaching f.actions NO_(3)^(-)-N (>90%),f.llowed by those in C3,C4,C6,and C7 (>80%).The cumulative leaching f.action of.NO_(3)^(-)-N decreased with increasing leaching test times and biochar addition,and 3%biochar addition (i.e.,C5 and C8) reduced it to approximately 50%.The one-dimensional advective-dispersive-reactive transport equation can be used as an ef.ective nume

关键词： leaching loss nitrate nitrogen biochar grass cover analytical modelling

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工厂数字化转型的“秘诀”

现代制造 2024年第S1期 36-36,38页

作者： f.stephan.Auch stephan. Itasse 不详

无论是大厂还是小厂,要想取得成功都离不开自动化技术。但合同订单的订货数量越少,企业生产系统就必须越灵活。装夹系统有着决定性的重要意义和作用:Stark夹具系统公司的解决方案提供了自动化完成托盘产品的解决方案。

关键词：订货数量数字化转型企业生产系统装夹系统自动化技术合同订单意义和作用