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China Foundry 2024年第5期21卷 577-587页

作者： Wei-li Peng Jian-hua zhao Cheng Gu ya-jun Wang College of Materials Science and Engineering Chongqing UniversityChongqing 400045China National Engineering Research Center for Magnesium Alloys Chongqing UniversityChongqing 400044China National Key Laboratory of Advanced Casting Technologies Chongqing UniversityChongqing 400044China

The properties of the magnetic mold in magnetic mold casting directly determine the quality of the final cast *** this study,the magnetic mold properties in magnetic mold casting,were studied utilizing a coupled electromagnetic-structural method through numerical *** study investigated key factors including equivalent stress,the distribution of tensile and compressive stresses,and the area ratio of tensile *** compared molds made entirely of magnetic materials with those made partially of magnetic *** results indicate that as current increases from 4 A to 8 A,both the initial magnetic mold and the material-replaced magnetic mold initially show an increasing trend in equivalent stress,tensile-compressive stress,and the area ratio of tensile stress,peaking at 6 A before *** material replacement,the area ratio of tensile stress at 6 A decreases to 19.84%,representing a reduction of 29.72%.Magnetic molds comprising a combination of magnetic and non-magnetic materials exhibit sufficient strength and a reduced area ratio of tensile stress compared to those made entirely from magnetic *** study provides valuable insights for optimizing magnetic mold casting processes and offers practical guidance for advancing the application of magnetic molds.

关键词： magnetic mold casting coupled electromagnetic-structural method numerical simulation stress analysis

Tissue-like P systems with polarizations

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Frontiers of Computer Science 2024年第4期18卷 209-210页

作者： Yueguo LUO Yi LIU Yuzhen zhao ping GUO College of Big Data and Intelligent Engineering Yangtze Normal UniversityChongqing 408100China College of Rail Transit and Aviation Services Chongqing Industry Polytechnic CollegeChongqing 401120China Business School Shandong Normal UniversityJinan 250014China College of Computer Science Chongqing UniversityChongqing 400044China

1 Introduction Natural computing refers to a computational paradigm inspired by biological mechanisms in ***-like P systems,a basic variant in membrane computing,can be viewed as distributed and parallel bio-inspired computing devices,where the objects in each region can communicate using corresponding channels,and infinitely many objects may exist in the ***[1],a novel variant of P systems with active membranes was *** application of rules in this variant is associated with the polarization on a corresponding membrane.

关键词： computing environment. infinitely

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跨国零售滥用市场优势地位的规制评述

北京工商大学学报（社会科学版） 2008年第6期23卷 6-10页

作者：王平赵亚平北京联合大学商务学院北京100025

针对跨国零售滥用市场优势地位越来越严重的情况,近年来我国采取了积极的规制措施,并主要集中于法律规制、行政规制等几个方面。但是,跨国零售依然以各种方式滥用市场优势地位,零供矛盾没有得到彻底解决。为了增强规制效果,建议增强《... 详细信息

针对跨国零售滥用市场优势地位越来越严重的情况,近年来我国采取了积极的规制措施,并主要集中于法律规制、行政规制等几个方面。但是,跨国零售依然以各种方式滥用市场优势地位,零供矛盾没有得到彻底解决。为了增强规制效果,建议增强《反垄断法》的实效性,制定统一的《零售商供应商公平交易法》,发挥行业协会等非政府组织的积极作用。

关键词：跨国零售滥用市场优势地位反垄断市场规制

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模糊自适应PID在焦炉控制中的仿真

东北大学学报（自然科学版） 2006年第10期27卷 1067-1070页

作者：高宪文赵亚平东北大学教育部流程工业综合自动化重点实验室东北大学信息科学与工程学院辽宁沈阳110004

针对焦炉温度大惯性、纯滞后、非线性和时变性等特点,结合PID和模糊控制两者的优点,提出了一种模糊自适应PID控制方法.对模糊自适应PID算法进行了理论分析,对焦炉生产的简化模型做了仿真研究.结果表明,采用模糊自适应PID控制,系统的调... 详细信息

针对焦炉温度大惯性、纯滞后、非线性和时变性等特点,结合PID和模糊控制两者的优点,提出了一种模糊自适应PID控制方法.对模糊自适应PID算法进行了理论分析,对焦炉生产的简化模型做了仿真研究.结果表明,采用模糊自适应PID控制,系统的调节时间缩短,响应速度加快,抗干扰能力和适应参数变化的能力都优于常规PID控制,具有更好的动态特性和稳定性,有效减少了炉温的波动.

关键词：模糊控制自适应控制 PID 焦炉控制系统仿真

Molecular phylogeny and taxonomy of Phlomoides(Lamiaceae subfamily Lamioideae)in China:Insights from molecular and morphological data

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Plant Diversity 2024年第4期46卷 462-475页

作者： Yue zhao ya-ping Chen Bryan T.Drew Fei zhao Maryam Almasi Orzimat T.Turginov Jin-Fei Xiao Abdul G.Karimi yasaman Salmaki Xiang-Qin Yu Chun-Lei Xiang CAS Key Laboratory for Plant Diversity and Biogeography of East Asia Kunming Institute of BotanyChinese Academy of SciencesKunming 650201YunnanChina Ministry of Education Key Laboratory of Ecology and Resource Use of the Mongolian Plateau&Inner Mongolia Key Laboratory of Grassland Ecology School of Ecology and EnvironmentInner Mongolia UniversityHohhot 010000Inner MongoliaChina Department of Biology University of Nebraska at KearneyKearneyNE 68849USA CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization&Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province Chinese Academy of SciencesChengdu Institute of BiologyChengdu 610042SichuanChina Center of Excellence in Phylogeny of Living Organisms Department of Plant ScienceCollege of ScienceUniversity of TehranP.O.Box 14155-6455TehranIran Institute of Botany Academy of Sciences of the Republic of UzbekistanTashkent 100047Uzbekistan Faculty of Biology Department of Botany and Plant PhysiologyNational University of Uzbekistan named after Mirzo UlugbekTashkent 100174Uzbekistan Faculty of Pharmacy Kabul University1006 KabulAfghanistan

Phlomoides,with 150-170 species,is the second largest and perhaps most taxonomically challenging genus within the subfamily Lamioideae(Lamiaceae).With about 60 species,China is one of three major biodiversity centers of *** some Phlomoides species from China have been included in previous molecular phylogenetic studies,a robust and broad phylogeny of this lineage has yet to be ***,given the myriad new additions to the genus,the existing infrageneric classification needs to be evaluated and ***,we combine molecular and morphological data to investigate relationships within Phlomoides,with a focus on Chinese *** observed that plastid DNA sequences can resolve relationships within Phlomoides better than nuclear ribosomal internal and external transcribed spacer regions(nrITS and nrETS).Molecular phylogenetic analyses confirm the monophyly of Phlomoides,but most previously defined infrageneric groups are not *** addition,morphological analysis demonstrates the significant taxonomic value of eight characters to the *** on our molecular phylogenetic analyses and morphological data,we establish a novel section Notochaete within Phlomoides,and propose three new combinations as well as three new *** study presents the first molecular phylogenetic analyses of Phlomoides in which taxa representative of the entire genus are included,and highlights the phylogenetic and taxonomic value of several morphological characters from species of Phlomoides from *** study suggests that a taxonomic revision and reclassification for the entire genus is necessary in the future.

关键词： Lamioideae Molecular phylogenetics Morphology Phlomideae Taxonomy

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从顾客价值迁移考察沃尔玛的绿色经营

生态经济 2007年第9期23卷 138-141页

作者：赵亚平李萍北京联合大学商务学院北京100025

本文从价值迁移及其一般规律入手,探讨顾客价值迁移对零售商的影响;并从营销组合、购物环境、企业社会责任三个方面对沃尔玛的绿色行动进行了梳理和分析。研究表明,沃尔玛在经营主体、经营客体、经营载体上正在向当前顾客价值迁移(追求... 详细信息

本文从价值迁移及其一般规律入手,探讨顾客价值迁移对零售商的影响;并从营销组合、购物环境、企业社会责任三个方面对沃尔玛的绿色行动进行了梳理和分析。研究表明,沃尔玛在经营主体、经营客体、经营载体上正在向当前顾客价值迁移(追求环保和绿色)的方向转变;沃尔玛正在从传统零售商向绿色零售商提升,由世界上最大的零售商向世界上最环保的企业发展。

关键词：价值迁移绿色零售商

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Petroleum Science 2024年第4期21卷 2383-2392页

作者： Li-Ming zhao Cai-ping Lu yang Liu Chao-Chao Li School of Mines China University of Mining and Technology Henan Institute of Geophysical Space Information

The similarities and differences in inherent mechanism and characteristic frequency between the onedimensional(1D) poroelastic model and the layered White model were investigated. This investigation was conducted under the assumption that the rock was homogenous and isotropic at the mesoscopic scale. For the inherent mechanism, both models resulted from quasi-static flow in a slow P-wave diffusion mode, and the differences between them originated from saturated fluids and boundary conditions. On the other hand, for the characteristic frequencies of the models, the characteristic frequency of the 1D poroelastic model was first modified because the elastic constant and formula for calculating it were misused and then compared to that of the layered White model. Both of them moved towards higher frequencies with increasing permeability and decreasing viscosity and diffusion length. The differences between them were due to the diffusion length. The diffusion length for the 1D poroelastic model was determined by the sample length, whereas that for the layered White model was determined by the length of the representative elementary volume(REV). Subsequently, a numerical example was presented to demonstrate the similarities and differences between the models. Finally, published experimental data were interpreted using the 1D poroelastic model combined with the Cole-Cole *** prediction of the combined model was in good agreement with the experimental data, thereby validating the effectiveness of the 1D poroelastic model. Furthermore, the modified characteristic frequency in our study was much closer to the experimental data than the previous prediction, validating the effectiveness of our modification of the characteristic frequency of the 1D poroelastic model. The investigation provided insight into the internal relationship between wave-induced fluid flow(WIFF)models at macroscopic and mesoscopic scales and can aid in a better understanding of the elastic modulus d

关键词： 1D poroelastic model Layered White model Quasi-static flow Slow P-wave diffusion Characteristic frequency Diffusion length

Investigating effect of coke porosity on blast furnace performance based on multi-physical fields

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Journal of Iron and Steel Research International 2024年第2期31卷 357-367页

作者： Ji Chen zhao Lei Zhe yao Li Wang Qiang Ling ping Cui Anhui Province Key Laboratory of Coal Clean Conversion and High Valued Utilization School of Chemistry and Chemical EngineeringAnhui University of TechnologyMa’anshan243002AnhuiChina Shanxi Academy of Printing Technology Research Institute Co. Ltd.Xi’an710077ShaanxiChina

Reducing coke use is an effective measure to reduce carbon emission and energy consumption in the blast furnace(BF)***,BF is a high-temperature moving bed reactor,where complex physical transformations coupled with complicated reactions *** makes it challenging to investigate the factors determining BF performance with the conventional method.A multi-physical field coupling mathematical model of BF was thus developed to describe its mass and heat transfer as well as its intrinsic ***,the proposed model was validated with the production *** coupling conditions,influences of dominating reactions on BF performance(temperature distribution,gas distribution,iron formation reaction,and direct reduction degree)were *** results indicated that coke combustion,indirect reduction,and direct reduction of iron ore mainly took place nearby the shaft tuyere,cohesive zone,and dripping zone,***,the rate of coke solution loss reaction was increased with the rising coke porosity in the cohesive *** the effect of coke porosity on the efficiency and stability of BF,the coke porosity of 0.42 was regarded as a reasonable value.

关键词： Blast furnace Mathematical model Multi-physical field Simulation Coke porosity

Novel self-assembled porous yolk-shell NiO nanospheres with excellent electrochromic performance for smart windows

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Particuology 2024年第1期84卷 72-80页

作者： Baoshun Wang ya Huang Siming zhao Run Li Di Gao Hairong Jiang Rufan Zhang Beijing Key Laboratory of Green Chemical Reaction Engineering and Technology Department of Chemical EngineeringTsinghua UniversityBeijing100084China

With the rapid development of optoelectronics,electrochromic(EC)materials(ECMs)with the advan-tages of low power consumption,easy viewing,high contrast ratio,etc have attached more and more attention from the fields of smart windows,electronic billboards,emerging wearable and portable electronics,and other next-generation *** oxide(NiO)is a promising candidate for high-performance ECMs because of its neutral-colored states and low ***,NiO-based ECMs still face the problem of slow switching speed due to their low electrical conductivity and small lattice ***-organic frameworks(MOFs)are promising candidates to fabricate hollow and porous transition metal oxides(TMOs)with high ion transport efficiency,excellent specific capacitance,and electrochemical *** this work,porous yolk-shell NiO nanospheres(PYS-NiO NSs)were syn-thesized via a solvothermal and subsequent calcination process of Ni-MOF,which exhibited outstanding EC *** the large specific surface areas and hollow porous nanostructures were conducive to ionic transport,PYS-NiO NSs exhibited a fast coloring/bleaching speed(3.6/3.9 s per one coloring/bleaching cycle)and excellent cycling stability(82%of capacity retention after 3000 cycles).These superior EC properties indicated that the PYS-NiO NSs was a promising candidate for high-performance EC *** work provides a new and feasible strategy for the efficient preparation of TMOs ECMs with good EC performance,especially fast switching speed.

关键词： Electrochromic Nickel oxide Metal-organic frameworks Hollow structure Smart windows

Identification of reservoir types in deep carbonates based on mixedkernel machine learning using geophysical logging data

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Petroleum Science 2024年第3期21卷 1632-1648页

作者： Jin-Xiong Shi Xiang-Yuan zhao Lian-Bo Zeng Yun-zhao Zhang Zheng-ping Zhu Shao-Qun Dong Key Laboratory of Exploration Technologies for Oil and Gas Resources of the Ministry of Education Yangtze UniversityWuhan4310HubeiChina School of Geosciences Yangtze UniversityWuhan430100HubeiChina College of Geosciences China University of Petroleum(Beijing)Beijing102249China Petroleum Exploration and Production Research Institute of SINOPEC Beijing100083China School of Earth Sciences and Engineering Xi'an Shiyou UniversityXi'an 710065ShaanxiChina

Identification of reservoir types in deep carbonates has always been a great challenge due to complex logging responses caused by the heterogeneous scale and distribution of storage *** cross-plot analysis and empirical formula methods for identifying reservoir types using geophysical logging data have high uncertainty and low efficiency,which cannot accurately reflect the nonlinear relationship between reservoir types and logging ***,the kernel Fisher discriminant analysis(KFD),a kernel-based machine learning technique,attracts attention in many fields because of its strong nonlinear processing ***,the overall performance of KFD model may be limited as a single kernel function cannot simultaneously extrapolate and interpolate well,especially for highly complex data *** address this issue,in this study,a mixed kernel Fisher discriminant analysis(MKFD)model was established and applied to identify reservoir types of the deep Sinian carbonates in central Sichuan Basin,*** MKFD model was trained and tested with 453 datasets from 7 coring wells,utilizing GR,CAL,DEN,AC,CNL and RT logs as input *** particle swarm optimization(PSO)was adopted for hyper-parameter optimization of MKFD *** evaluate the model performance,prediction results of MKFD were compared with those of basic-kernel based KFD,RF and SVM ***,the built MKFD model was applied in a blind well test,and a variable importance analysis was *** comparison and blind test results demonstrated that MKFD outperformed traditional KFD,RF and SVM in the identification of reservoir types,which provided higher accuracy and stronger *** MKFD can therefore be a reliable method for identifying reservoir types of deep carbonates.

关键词： Reservoir type identification Geophysical logging data Kernel Fisher discriminantanalysis Mixedkernel function Deep carbonates