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Digital Earth in support of global change research

International Journal of Digital Earth 2008年第1期1卷 43-65,I0004页

作者： c.shupeng J.van Genderen Institute of Remote Sensing Applications Chinese Academy of SciencesP.O.Box 9718Beijing 100101China International Institute for Geoinformation Science and Earth Observation(ITc) Department of Earth Observation Science.P.O.Box 67500 AA EnschedeThe Netherlands

The Digital Earth concept as originally proposed by former US Vice president Al Gore is now well established and widely adopted ***,many researchers world-wide are studying the causes,effects and impacts of Global *** authors commence by describing a five-step approach to the development of Digital Earth *** is followed by a detailed account of Digital Earth research and developments in *** authors then present the research results of Global change studies carried out in china,based on the Digital Earth *** research results are based on a classification of global change *** covers the following global change situations:Forest and grassland fires in Northern china,temperate region desertification and dust storms,underground coal fires,deforestation and carbon sequestration,protection and utilisation of wetlands,Avian Influenza and the spread of diseases,Tibet Plateau uplift and sub-tropical monsoon climate region,and sea-level *** research results show that the environment does not behave in a way easily understood by the traditional disciplinary *** man is clearly a contributing factor to certain Global change aspects,such as underground coal fires,desertification,land use changes etc.,many of the aspects of Global change are naturally occurring phenomena which have been changing over centuries,and will continue to do so,no matter what actions we undertake to reverse these ***,in their conclusions,the authors propose that the communities involved in Digital Earth modelling and in Global change research co-operate closer to overcome the limitations inherent in the current‘conventional’scientific approach,where scientists have very much stayed within their respective scientific *** an integrated approach will enable us to build the next level of scientific infrastructure required to understand and predict naturally occurring environmental changes,as well as

关键词： digital earth global change digital china digital earth applications

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Fault Diagnosis Method of Rolling Bearing Based on MScNN-LSTM

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computers, Materials & continua 2024年第6期79卷 4395-4411页

作者： chunming Wu shupeng Zheng Key Laboratory of Modern Power System Simulation and control&Renewable Energy Technology Ministry of EducationNortheast Electric Power UniversityJilin132012China Ministry of Education Northeast Electric Power UniversityJilin132012China

Deep neural networks have been widely applied to bearing fault diagnosis systems and achieved impressive success *** address the problem that the insufficient fault feature extraction ability of traditional fault diagnosis methods results in poor diagnosis effect under variable load and noise interference scenarios,a rolling bearing fault diagnosis model combining Multi-Scale convolutional Neural Network(MScNN)and Long Short-Term Memory(LSTM)fused with attention mechanism is *** adaptively extract the essential spatial feature information of various sizes,the model creates a multi-scale feature extraction module using the convolutional neural network(cNN)learning *** learning capacity of LSTM for time information sequence is then used to extract the vibration signal’s temporal feature *** parallel large and small convolutional kernels teach the system spatial local *** gathers temporal global features to thoroughly and painstakingly mine the vibration signal’s characteristics,thus enhancing model ***,bearing fault diagnosis is accomplished by using the SoftMax *** experiment outcomes demonstrate that the model can derive fault properties entirely from the initial vibration *** can retain good diagnostic accuracy under variable load and noise interference and has strong generalization compared to other fault diagnosis models.

关键词： Bearing fault diagnosis convolutional neural network short-long-term memory network feature fusion

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An Efficient Local Radial Basis Function Method for Image Segmentation Based on the chan-Vese Model

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computer Modeling in Engineering & Sciences 2024年第4期139卷 1119-1134页

作者： shupeng Qiu chujin Lin Wei Zhao School of Mathematics and Statistics Guangdong University of TechnologyGuangzhou510520China

In this paper,we consider the chan–Vese(c-V)model for image segmentation and obtain its numerical solution accurately and *** this purpose,we present a local radial basis function method based on a Gaussian kernel(GA-LRBF)for spatial *** to the standard radial basis functionmethod,this approach consumes less cPU time and maintains good stability because it uses only a small subset of points in the whole computational ***,since the Gaussian function has the property of dimensional separation,the GA-LRBF method is suitable for dealing with isotropic ***,a numerical scheme that couples GA-LRBF with the fourth-order Runge–Kutta method is applied to the c-V model,and a comparison of some numerical results demonstrates that this scheme achieves much more reliable image segmentation.

关键词： Image segmentation chan–Vese model local radial basis functionmethod Gaussian kernel Runge–Kuttamethod

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Numerical simulation of inlet placement on sewage characteristics in the rounded square aquaculture tank with single inlet

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Journal of Oceanology and Limnology 2024年第4期42卷 1359-1382页

作者： Xiaozhong REN Yixuan HU Yinxin ZHOU shupeng DU Wei SUN Hangfei LIU chenxu ZHAO Ying LIU Key Laboratory of Environment controlled Aquaculture(Dalian Ocean University)Ministry of Education Dalian 116023China college of Marine Science and Environment Dalian Ocean UniversityDalian 116023China college of Ocean and civil Engineering Dalian Ocean UniversityDalian 116023China Zhejiang University Hangzhou 310058China

To improve the self-cleaning ability of aquaculture tank and the efficiency of circulating water,physical and numerical experiments were conducted on the influence of inlet structure on sewage discharge in a rounded square aquaculture tank with a single *** on the physical model of the tank,analysis of how inlet structure adjustment affects sewage discharge efficiency and flow field characteristics was conducted to provide suitable flow field conditions for sinkable solid particle *** addition,an internal flow field simulation was conducted using the RNG k-εturbulence model in hydraulic drive *** a solid-fluid multiphase model was created to investigate how the inlet structure affects sewage collection in the rounded square aquaculture tank with single inlet and *** finding revealed that the impact of inlet structure is considerably affecting sewage *** conditions of c/B=0.07-0.11(the ratio of horizontal distance between the center of the inlet pipe and the tank wall(c)to length of the tank(B))andα=25°(αis the angle between the direction of the jet and the tangential direction of the arc angle)resulted in optimal sewage collection,which is similar to the flow field experiment in the rounded square aquaculture tank with single inlet and *** excellent correlation was revealed between sewage collection and fluid circulation stability in the aquaculture *** present study provided a reference for design and optimization of circulating aquaculture tanks in aquaculture industry.

关键词： rounded square aquaculture tank sewage collection characteristic inlet structure computational fluid dynamic

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Important step towards an understanding of the exotic Z_(c)(3900)

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Science china(Physics,Mechanics & Astronomy) 2024年第9期67卷 199-200页

作者： c.Hanhart Institute for Advanced Simulation Forschungszentrum JulichJilich D-52425Germany

The Standard Model of particle physics,which contains the field theories for the electro-weak interaction(QED)and the strong interaction(QcD),is an extremely successful theory describing a huge variety of phenomena at... 详细信息

关键词： interaction atomic describing

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线粒体靶向的罗丹明衍生物用于肿瘤荧光成像

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化工学报 2024年第4期75卷 1679-1686页

作者：王书鹏杜健军姚瑶樊江莉彭孝军大连理工大学精细化工国家重点实验室智能材料导向化学工程前沿科学中心辽宁大连116024 大连理工大学宁波研究院浙江宁波315016

设计合成了两例以罗丹明为母体的荧光染料RDMID-c和RDMID-N。实验结果表明,上述染料分子具有较低的细胞毒性,良好的生物相容性及靶向细胞线粒体的能力。两例荧光染料在细胞器定位实验中与商业化线粒体染料的共定位系数较高,并在小鼠肿... 详细信息

设计合成了两例以罗丹明为母体的荧光染料RDMID-c和RDMID-N。实验结果表明,上述染料分子具有较低的细胞毒性,良好的生物相容性及靶向细胞线粒体的能力。两例荧光染料在细胞器定位实验中与商业化线粒体染料的共定位系数较高,并在小鼠肿瘤中有较长的滞留时间,可以用于肿瘤荧光成像。

关键词：染料荧光成像生物医学工程生物工程生物技术

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Light sheet microscope scanning of biointegrated microlasers for localized refractive index sensing

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Photonics Research 2024年第8期12卷 1673-1680页

作者： ROSS c.cOWIE MARcEL ScHUBERT SUPA School of Physics and AstronomyUniversity of St AndrewsSt AndrewsUK Humboldt centre for Nano and Biophotonics Department of ChemistryUniversity of CologneCologneGermany

Whispering gallery mode(WGM)microlasers are highly sensitive to localized refractive index changes allowing to link their emission spectrum to various chemical,mechanical,or physical *** recently found applications in biological studies within single cells,in three-dimensional samples such as multicellular spheroids,or in ***,detailed studies of biological samples also need to account for the structural heterogeneity of tissues and live animals,therefore requiring a combination of high-resolution microscopy and laser ***,we design and construct a light sheet fluorescence microscope with a coupled spectrometer for use in microlaser studies for combined high-resolution,high-speed imaging and WGM spectral *** light sheet illumination profile and the decoupled geometry of excitation and emission hereby directly affect the lasing and sensing properties,mainly through geometric constraints and by light coupling *** demonstrate the basic working principle of microlaser spectroscopy under light sheet excitation and measure the absolute refractive index within agarose and in zebrafish tail muscle *** further analyze the light coupling conditions that lead to the occurrence of two separate oscillation *** so-called cross modes can be scanned around the entire microlaser surface,which allows to estimate a surface-averaged refractive index profile of the microlaser environment.

关键词： refractive index excitation

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A toast to a zebrafish germ cell induction cocktail

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Science china(Life Sciences) 2024年第6期67卷 1314-1315页

作者： Mary c.Mullins Department of cell and Developmental Biology University of Pennsylvania Perelman School of MedicinePhiladelphia 19104USA

The zebrafish field is ringing in the new year with a publication from Yonghua Sun's laboratory(Wang et al.,2023)of a cocktail of germline factors that can induce all cells of the zebrafish embryo into primordial germ cells(PGcs)at phenomenal *** major advance is not only of great interest to germ cell biologists,but it has important applications to the entire zebrafish field,as shown in Wang et al.(2023).

关键词： fish zebra field

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巷道支护管索组合结构剪切力学响应精细有限元分析

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岩石力学与工程学报 2024年第7期43卷 1561-1579页

作者：单仁亮宋威张书鹏刘帅梁俊奇中国矿业大学(北京)力学与土木工程学院北京100083 北方爆破科技有限公司北京100097

为防止支护工程中锚索在剪切荷载下过早发生破断,一种将c型钢管与锚索进行组合的管索组合结构被提出,该结构抗剪增强机制尚未完全揭示。利用ABAQUS软件建立管索组合结构的非线性有限元精细化模型,锚索钢绞线采用七股实际结构模型,并考... 详细信息

为防止支护工程中锚索在剪切荷载下过早发生破断,一种将c型钢管与锚索进行组合的管索组合结构被提出,该结构抗剪增强机制尚未完全揭示。利用ABAQUS软件建立管索组合结构的非线性有限元精细化模型,锚索钢绞线采用七股实际结构模型,并考虑各个组成部分的接触、失效等相互作用,对管索组合结构抗剪机制进行研究。结果表明:剪切初期,管索组合结构在剪切面位置剪力和对称分布弯矩作用下形成“S”形态弯曲及对称塑性铰,其后变形以塑性铰向远离剪切面方向扩展与中间段锚索的拉伸为主,最终管索组合结构失效原因为锚索以拉伸破断为主的拉剪复合破坏;随剪切荷载的增加,c型管在锚索弯曲变形范围内逐渐闭合,与锚索共同受力,增强整体结构抗弯刚度,c型管两端部发生开缝张开与整体扭转,与c型管中间段闭合变形相协调,c型管能够使结构与试块接触压力分布更为均匀,改善受力条件;试块界面局部混凝土处于三轴受压状态,随剪切荷载增加,试块内部形成逐渐扩大的承压区域,局部混凝土破碎失效,混凝土逐步破碎失效过程与管索组合结构塑性铰的扩展同步发生。

关键词：岩石力学双剪试验预应力锚索数值模拟塑性铰破断机制

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Performance of evolutionary optimized machine learning for modeling total organic carbon in core samples of shale gas fields

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Petroleum 2024年第1期10卷 150-164页

作者： Leonardo Goliatt c.M.Saporetti L.c.Oliveira E.Pereira Department of computational and Applied Mechanics Federal University of Juiz de ForaJuiz de ForaBrazil Department of computational Modeling Polytechnic InstituteRio de Janeiro State UniversityNova FriburgoBrazil Petrobras Rio de JaneiroBrazil Department of Stratigraphy and Paleontology Rio de Janeiro State UniversityRio de JaneiroBrazil

Rock samples'TOc content is the best indicator of the organic matter in source *** origin rock samples’analysis is used to calculate it manually by *** method requires time and resources because it relies on samples from many well intervals in source ***,research has been done to aid this *** learning algorithms can estimate total organic carbon instead of well logs and stratigraphic *** light of these efforts,the current work present a study on automating the total organic carbon estimation using machine learning approaches improved by an evolutionary methodology to give the model flexibility and *** algorithms,differential evolution,particle swarm optimization,grey wolf optimization,artificial bee colony,and evolution strategies were used to improve machine learning models to predict *** six metaheuristics were integrated into four machine learning methods:extreme learning machine,elastic net linear model,linear support vector regression,and multivariate adaptive regression *** samples from the YuDong-Nan shale gas field,located in the Sichuan basin,were used to evaluate the hybrid *** findings show that combining machine learning models with an evolutionary algorithms in a hybrid fashion produce flexible models that accurately predict *** results show that,independent of the metaheuristic used to guide the model selection,optimized extreme learning machines attained the best performance scores according to six *** hybrid models can be used in exploratory geological research,particularly for unconventional oil and gas resources.

关键词： Total organic carbon Hybrid models Automated machine learning Evolutionary algorithms Geology

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