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基于EMD的谱峭度方法在滚动轴承故障检测中的应用

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计算机测量与控制 2015年第3期23卷 696-698页

作者：戴豪民许爱强李文峰孙伟超海军航空工程学院飞行器检测与应用研究所山东烟台264001

针对传统谱峭度方法中短时傅里叶变换不能保证对瞬态脉冲这种高度非平稳信号最优分解效果的问题,提出一种基于经验模式分解的谱峭度方法;该方法首先利用经验模式分解和Hilbert变换得到信号的时频分布,然后将信号的时频分布按照不同层数... 详细信息

针对传统谱峭度方法中短时傅里叶变换不能保证对瞬态脉冲这种高度非平稳信号最优分解效果的问题,提出一种基于经验模式分解的谱峭度方法;该方法首先利用经验模式分解和Hilbert变换得到信号的时频分布,然后将信号的时频分布按照不同层数分成若干频段,通过计算各频段的峭度值得到相应的峭度图,再根据峭度最大原则选择滤波频段进行带通滤波,最后对滤波信号采用包络分析确定故障信息;实验结果表明:相比基于短时傅里叶变换的谱峭度方法,文章方法更能准确的获得轴承加速度信号的故障特征频率信息。

关键词：短时傅里叶变换经验模式分解谱峭度峭度图

Origin and evolution of a new tetraploid mangrove species in an intertidal zone

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Plant Diversity 2024年第4期46卷 476-490页

作者： Hui Feng Achyut Kumar Banerjee Wuxia Guo Yang Yuan Fuyuan Duan Wei Lun Ng Xuming Zhao Yuting liu Chunmei li Ying liu linfeng li Yelin Huang State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Resources School of Life SciencesSun Yat-sen UniversityGuangzhou 510275GuangdongChina Department of Bioengineering Zhuhai Campus of Zunyi Medical UniversityZhuhai 519041GuangdongChina China-ASEAN College of Marine Sciences Xiamen University MalaysiaSepang 43900SelangorMalaysia School of Agriculture Sun Yat-sen UniversityShenzhen 518107GuangdongChina School of Ecology Sun Yat-sen UniversityShenzhen 518107GuangdongChina

Polyploidy is a major factor in the evolution of plants,yet we know little about the origin and evolution of polyploidy in intertidal *** study aimed to identify the evolutionary transitions in three truemangrove species of the genus Acanthus distributed in the Indo-West Pacific *** this purpose,we took an integrative approach that combined data on morphology,cytology,climatic niche,phylogeny,and biogeography of 493 samples from 42 geographic *** results show that the Acanthus ilicifolius lineage distributed east of the Thai-Malay Peninsula possesses a tetraploid karyotype,which is morphologically distinct from that of the lineage on the west *** haplotype networks and phylogenetic trees for the chloroplast genome and eight nuclear genes reveal that the tetraploid species has two sub-genomes,one each from *** and ***,the paternal and maternal parents,*** structure analysis also supports the hybrid speciation history of the new tetraploid *** two sub-genomes of the tetraploid species diverged from their diploid progenitors during the *** niche models revealed that the tetraploid species not only occupied the near-entire niche space of the diploids,but also expanded into novel *** findings suggest that *** species distributed on the east side of the Thai-Malay Peninsula should be regarded as a new species,***,which originated from hybridization between *** and ***,followed by chromosome *** is the first report of a true-mangrove allopolyploid species that can reproduce sexually and clonally reproduction,which explains the long-term adaptive potential of the species.

关键词： Acanthus Allopolyploid Biogeography Evolution Hybridization Polyploidy

Diagnostic and prognostic role of liNC01767 in hepatocellular carcinoma

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World Journal of Hepatology 2024年第6期16卷 932-950页

作者： li Zhang Tong-Xing Cui Xiang-Zhi li Chong liu Wen-Qin Wang Department of Thyroid and Breast Surgery The Affiliated People Hospital of Second Medical UniversityWeifang 266010Shandong ProvinceChina Department of General Surgery Qingdao Municipal Hospital GroupQingdao 266237Shandong ProvinceChina School of life Sciences Shandong University(Qingdao)Qingdao 26637Shandong ProvinceChina School of Medicine Tsinghua UniversityBeijing 100084China

BACKGROUND Hepatocellular carcinoma(HCC)is a primary contributor to cancer-related mortality on a global ***,the underlying molecular mechanisms are still poorly *** noncoding RNAs are emerging markers for HCC diagnosis,prognosis,and therapeutic *** study of liNC01767 in HCC was *** To conduct a multi-omics analysis to explore the roles of liNC01767 in HCC for the first *** DESeq2 Package was used to analyze different gene *** operating characteristic curves assessed the diagnostic ***-Meier univariate and Cox multivariate analyses were used to perform survival *** least absolute shrinkage and selection operator(LASSO)-Cox was used to identify the prediction *** to the validation of liNC01767 expression in HCC fresh frozen tissues through quantitative real time polymerase chain reaction,next generation sequencing was performed following liNC01767 over expression(GSE243371),and Gene Ontology/Kyoto Encyclopedia of Genes and Genomes/Gene Set Enrichment Analysis/ingenuity pathway analysis was carried *** vitro experiment in Huh7 cell was carried *** liNC01767 was down-regulated in HCC with a log fold change=1.575 and was positively correlated with the cancer ***01767 was a good diagnostic marker with area under the curve(AUC)[0.801,95% confidence interval(CI):0.751-0.852,P=0.0106]and an independent predictor for overall survival(OS)with hazard ratio=1.899(95%CI:1.01-3.58,P=0.048).liNC01767 nomogram model showed a satisfied *** top-ranked regulatory network analysis of liNC01767 showed the regulation of genes participating various *** regression identified the 9-genes model showing a more satisfied performance than 5-genes model to predict the OS with AUC>***01767 was down-expressed obviously in tumor than para-tumor tissues in our cohort as well as in cancer cell line;the over expression of liNC01767 inhibit cell prolifer

关键词： Hepatocellular carcinoma liNC01767 Multi-omics analysis GSE243371 Cell proliferation Clone formation

Human brain organoid:trends,evolution,and remaining challenges

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Neural Regeneration Research 2024年第11期19卷 2387-2399页

作者： Minghui li Yuhan Yuan Zongkun Hou Shilei Hao liang Jin Bochu Wang Key Laboratory of Biorheological Science and Technology Ministry of EducationCollege of BioengineeringChongqing UniversityChongqingChina Southwest Hospital/Southwest Eye Hospital Third Military Medical University(Army Medical University)ChongqingChina School of Biology and Engineering/School of Basic Medical Sciences Guizhou Medical UniversityGuiyangGuizhou ProvinceChina

Advanced brain organoids provide promising platforms for deciphering the cellular and molecular processes of human neural development and *** various studies and reviews have described developments and advancements in brain organoids,few studies have comprehensively summarized and analyzed the global trends in this area of *** identify and further facilitate the development of cerebral organoids,we utilized bibliometrics and visualization methods to analyze the global trends and evolution of brain organoids in the last 10 ***,annual publications,countries/regions,organizations,journals,authors,co-citations,and keywords relating to brain organoids were *** hotspots in this field were also systematically ***,current applications for brain organoids in neuroscience,including human neural development,neural disorders,infectious diseases,regenerative medicine,drug discovery,and toxicity assessment studies,are comprehensively *** that end,several considerations regarding the current challenges in brain organoid research and future strategies to advance neuroscience will be presented to further promote their application in neurological research.

关键词： bibliometric analysis brain organoids cerebral organoids global trends neuroscience

Deciphering the controlling factors for phase transitions in zeolitic imidazolate frameworks

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National Science Review 2024年第4期11卷 151-163页

作者： Tao Du Shanwu li Sudheer Ganisetti Mathieu Bauchy Yuanzheng Yue Morten M.Smedskjaer Department of Chemistry and Bioscience Aalborg University Department of Mechanical Engineering-Engineering Mechanics Michigan Technological University Physics of Amo Rphous and Inorganic Solids Laboratory(PARISlab) Department of Civil and Environmental EngineeringUniversity of CaliforniaLos Angeles

Zeolitic imidazolate frameworks（ZIFs） feature complex phase transitions, including polymorphism,melting, vitrification, and polyamorphism. Experimentally probing their structural evolution during transitions involving amorphous phases is a significant challenge, especially at the medium-range length scale. To overcome this challenge, here we first train a deep learning-based force field to identify the structural characteristics of both crystalline and non-crystalline ZIF phases. This allows us to reproduce the structural evolution trend during the melting of crystals and formation of ZIF glasses at various length scales with an accuracy comparable to that of ab initio molecular dynamics, yet at a much lower computational cost. Based on this approach, we propose a new structural descriptor, namely, the ring orientation index, to capture the propensity for crystallization of ZIF-4(Zn（Im）2, Im = C3H3N2-) glasses, as well as for the formation of ZIF-zni(Zn（Im）2) out of the high-density amorphous phase. This crystal formation process is a result of the reorientation of imidazole rings by sacrificing the order of the structure around the zinc-centered tetrahedra. The outcomes of this work are useful for studying phase transitions in other metal-organic frameworks（MOFs） and may thus guide the development of MOF glasses.

关键词： metal-organic frameworks phase transitions melting glass formation transferable deep learning force field ring orientation

Machine learning and neural network supported state of health simulation and forecasting model for lithium-ion battery

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Frontiers in Energy 2024年第2期18卷 223-240页

作者： Nan QI Kang YAN Yajuan YU Rui li Rong HUANG Lai CHEN Yuefeng SU Beijing Institute of Technology Chongqing Innovation Center Chongqing 401120China Department of Energy and Environmental Materials School of Materials Science and EngineeringBeijing Institute of TechnologyBeijing 100081China Beijing Electric Vehicle Co. Ltd.Beijing 100176China

As the intersection of disciplines deepens,the field of battery modeling is increasingly employing various artificial intelligence(AI)approaches to improve the efficiency of battery management and enhance the stability and reliability of battery *** paper reviews the value of AI methods in lithium-ion battery health management and in particular analyses the application of machine learning(ML),one of the many branches of AI,to lithium-ion battery state of health(SOH),focusing on the advantages and strengths of neural network(NN)methods in ML for lithium-ion battery SOH simulation and *** is one of the important branches of ML,in which the application of NNs such as backpropagation NN,convolutional NN,and long short-term memory NN in SOH estimation of lithium-ion batteries has received wide *** so far have shown that the utilization of NN to model the SOH of lithium-ion batteries has the advantages of high efficiency,low energy consumption,high robustness,and scalable *** the future,NN can make a greater contribution to lithium-ion battery management by,first,utilizing more field data to play a more practical role in health feature screening and model building,and second,by enhancing the intelligent screening and combination of battery parameters to characterize the actual lithium-ion battery SOH to a greater *** in-depth application of NN in lithium-ion battery SOH will certainly further enhance the science,reliability,stability,and robustness of lithium-ion battery management.

关键词： machine learning lithium-ion battery state of health neural network artificial intelligence

Relation-Aware Entity Matching Using Sentence-BERT

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Computers, Materials & Continua 2022年第4期71卷 1581-1595页

作者： Huchen Zhou wenfeng Huang Mohan li Yulin Lai Cyberspace Institute of Advance Technology Guangzhou UniversityChina Department of Informatics King’s College LondonUnited Kingdom

A key aspect of Knowledge fusion is Entity *** objective of this study was to investigate how to identify heterogeneous expressions of the same real-world *** recent years,some representative works have used deep learning methods for entity matching,and these methods have achieved good ***,the common limitation of these methods is that they assume that different attribute columns of the same entity are independent,and inputting the model in the form of paired entity records will cause repeated *** fact,there are often potential relations between different attribute columns of different *** relations can help us improve the effect of entity matching,and can perform feature extraction on a single entity record to avoid repeated *** use attribute relations to assist entity matching,this paper proposes the Relation-aware Entity Matching method,which embeds attribute relations into the original entity description to form sentences,so that entity matching is transformed into a sentence-level similarity determination task,based on Sentence-BERT completes sentence similarity *** have conducted experiments on structured,dirty,and textual data,and compared them with baselines in recent *** results show that the use of relational embedding is helpful for entity matching on structured and dirty *** method has good results on most data sets for entity matching and reduces repeated calculations.

关键词： Knowledge fusion entity matching Sentence-BERT relation aware

Controlled Twill Surface Structure Endowing Nanofiber Composite Membrane Excellent Electromagnetic Interference Shielding

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Nano-Micro Letters 2024年第11期16卷 255-273页

作者： Dechang Tao Xin Wen Chenguang Yang Kun Yan Zhiyao li Wenwen Wang Dong Wang Key Laboratory of Textile Fiber and Products(Wuhan Textile University) Ministry of EducationWuhan Textile UniversityWuhan 430200People’s Republic of China College of Chemistry Chemical Engineering and BiotechnologyDonghua UniversityShanghai 201620People’s Republic of China

Inspired by the Chinese Knotting weave structure,an electromagnetic interference(EMI)nanofiber composite membrane with a twill surface was ***(vinyl alcohol-co-ethylene)(Pva-co-PE)nanofibers and twill nylon fabric were used as the matrix and filter templates,respectively.A Pva-co-PEMXene/silver nanowire(Pva-co-PE-MXene/AgNW,PM_(x)Ag)membrane was successfully prepared using a template *** the MXene/AgNW content was only 7.4 wt%(PM_(7.4)Ag),the EMI shielding efficiency(SE)of the composite membrane with the oblique twill structure on the surface was 103.9 dB and the surface twill structure improved the EMI by 38.5%.This result was attributed to the pre-interference of the oblique twill structure in the direction of the incident EM wave,which enhanced the probability of the electromagnetic waves randomly colliding with the MXene ***,the internal reflection and ohmic and resonance losses were *** PM_(7.4)Ag membrane with the twill structure exhibited both an outstanding tensile strength of 22.8 MPa and EMI SE/t of 3925.2 dB cm^(-1).Moreover,the PM_(x)Ag nanocomposite membranes demonstrated an excellent thermal management performance,hydrophobicity,non-flammability,and performance stability,which was demonstrated by an EMI SE of 97.3%in a high-temperature environment of 140℃.The successful preparation of surface-twill composite membranes makes it difficult to achieve both a low filler content and a high EMI SE in electromagnetic shielding *** strategy provides a new approach for preparing thin membranes with excellent EMI properties.

关键词： Twill surface structure MXene/AgNW Nanofiber membrane Electromagnetic interference Flexibility and mechanical properties

A phase-field model for simulating the propagation behavior of mixed-mode cracks during the hydraulic fracturing process in fractured reservoirs

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Applied Mathematics and Mechanics(English Edition) 2024年第5期45卷 911-930页

作者： Dan ZHANG liangping YI Zhaozhong YANG Jingqiang ZHANG Gang CHEN Ruoyu YANG Xiaogang li State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation Southwest Petroleum UniversityChengdu 610500China State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation Chengdu University of TechnologyChengdu 610059China Tarim Oilfield Company PetroChinaBayingolin Mongolian Autonomous Prefecture 841000Xinjiang Uygur Autonomous RegionChina Wuqi Oil Production Plant Shaanxi Yanchang PetroleumXi'an 716000China Exploration Division of PetroChina Southwest Oil and Gasfield Company Chengdu 610041China

A novel phase-field model for the propagation of mixed-mode hydraulic fractures,characterized by the formation of mixed-mode fractures due to the interactions between fluids and solids,is *** this model,the driving force for the phase field consists of both tensile and shear components,with the fluid contribution primarily manifesting in the tension driving *** displacement and pressure are solved simultaneously by an implicit *** numerical solution's iterative format is established by the finite element discretization and Newton-Raphson(NR)iterative *** correctness of the model is verified through the uniaxial compression physical experiments on fluid-pressurized rocks,and the limitations of the hydraulic fracture expansion phase-field model,which only considers mode I fractures,are *** addition,the influence of matrix mode II fracture toughness value,natural fracture mode II toughness value,and fracturing fluid injection rate on the hydraulic fracture propagation in porous media with natural fractures is studied.

关键词： mixed-mode crack hydraulic fracturing poro-elasticity phase-field method(PFM)