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基于增量型聚类的自动话题检测研究

软件学报 2012年第6期23卷 1578-1587页

作者：张小明李舟军巢文涵北京航空航天大学计算机科学与工程系北京100191

随着网络信息飞速的发展,收集并组织相关信息变得越来越困难.话题检测与跟踪(topic detection andtracking,简称TDT)就是为解决该问题而提出来的研究方向.话题检测是TDT中重要的研究任务之一,其主要研究内容是把讨论相同话题的故事聚类... 详细信息

随着网络信息飞速的发展,收集并组织相关信息变得越来越困难.话题检测与跟踪(topic detection andtracking,简称TDT)就是为解决该问题而提出来的研究方向.话题检测是TDT中重要的研究任务之一,其主要研究内容是把讨论相同话题的故事聚类到一起.虽然话题检测已经有了多年的研究,但面对日益变化的网络信息,它具有了更大的挑战性.提出了一种基于增量型聚类的和自动话题检测方法,该方法旨在提高话题检测的效率,并且能够自动检测出文本库中话题的数量.采用改进的权重算法计算特征的权重,通过自适应地提炼具有较强的主题辨别能力的文本特征来提高文档聚类的准确率,并且在聚类过程中利用BIC来判断话题类别的数目,同时利用话题的延续性特征来预聚类文档,并以此提高话题检测的速度.基于TDT-4语料库的实验结果表明,该方法能够大幅度提高话题检测的效率和准确率.

关键词：话题检测与跟踪 TDT 话题检测增量型聚类权重计算

Quantitative analysis of globularization and modeling of TC17 alloy with basketweave microstructure

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Transactions of Nonferrous Metals Society of China 2022年第3期32卷 850-867页

作者： Hao-yu PANG Jiao LUO Zhi-gang ZhanG wen-chao han Keng-feng XU Miao-quan LI State Key Laboratory of Solidification Processing Northwestern Polytechnical UniversityXi’an 710072China

The globularization behavior and mechanism of TC17 alloy with basketweave microstructure were investigated, and the models of dynamic and static globularization kinetics were established. The quantitative and metallographic results show that the globularization of α phase is sensitive to the parameters of deformation and heat treatment. By EBSD analysis, the formation and evolution mechanisms of intra-α boundaries are related to discontinuous dynamic recrystallization and continuous dynamic recrystallization, which can form α grains with high and low misorientations between neighbour grains after the heat treatment, respectively. Based on the globularization behavior and mechanism, two modified JMAK models are developed to predict the dynamic and static globularization kinetics, and the mean absolute relative errors(MARE) of 10.67% and 13.80% indicate the accuracy of the dynamic and static globularization kinetics models. The results of this work can provide guidance for controlling microstructure of titanium alloy.

关键词： TC17 alloy basketweave microstructure globularization quantitative analysis kinetics model

The detection, extraction and parameter estimation of extreme-mass-ratio inspirals with deep learning

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Science China(Physics,Mechanics & Astronomy) 2025年第1期Mechanics & Astronomy) .卷 86-96页

作者： Qianyun Yun wen-Biao han Yi-Yang Guo He Wang Minghui Du hangzhou Institute for Advanced Study University of Chinese Academy of Sciences Shanghai Astronomical Observatory Chinese Academy of Sciences School of Physics and Astronomy Shanghai Jiao Tong University School of Astronomy and Space Science University of Chinese Academy of Sciences Taiji Laboratory for Gravitational Wave Universe (Beijing/hangzhou) University of Chinese Academy of Sciences Lanzhou Center for Theoretical Physics Key Laboratory of Theoretical Physics of Gansu Province Key Laboratory of Quantum Theory and Applications of MoE Lanzhou University Institute of Theoretical Physics & Research Center of Gravitation Lanzhou University International Centre for Theoretical Physics Asia-Pacific (ICTP-AP) University of Chinese Academy of Sciences (UCAS) Center for Gravitational Wave Experiment National Microgravity Laboratory Institute of Mechanics Chinese Academy of Sciences

One of the primary goals of space-borne gravitational wave detectors is to detect and analyze extreme-mass-ratio inspirals(EMRIs). This task is particularly challenging because EMRI signals are complex, lengthy, and faint. In this work, we introduce a2-layer convolutional neural network(CNN) approach to detect EMRI signals for space-borne detectors, achieving a true positive rate(TPR) of 96.9% at a 1% false positive rate(FPR) for signal-to-noise ratio(SNR) from 50 to 100. Especially, the key intrinsic parameters of EMRIs such as the mass, spin of the supermassive black hole(SMBH) and the initial eccentricity of the orbit can also be inferred directly by employing a neural network. The mass and spin of the SMBH can be determined at 99% and 92% respectively. This will greatly reduce the parameter spaces and computing cost for the following Bayesian parameter *** model also has a low dependency on the accuracy of the waveform model. This study underscores the potential of deep learning methods in EMRI data analysis, enabling the rapid detection of EMRI signals and efficient parameter estimation.

关键词： gravitational wave EMRIs deep-learing

The Melastoma dodecandrum genome and the evolution of Myrtales

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Journal of Genetics and Genomics 2022年第2期49卷 120-131页

作者： Yang Hao Yu-Zhen Zhou Bin Chen Gui-Zhen Chen Zhen-Ying wen Diyang Zhang Wei-Hong Sun Ding-Kun Liu Jie Huang Jin-Liao Chen Xiao-Qin Zhou Wan-Lin Fan wen-Chun Zhang Lin Luo wen-chao han Yan Zheng Long Li Peng-Cheng Lu Yue Xing Shu-Ya Liu Jia-Ting Sun Ying-Hui Cao Yan-Ping Zhang Xiao-Ling Shi Sha-Sha Wu Ye Ai Jun-wen Zhai Si-Ren Lan Zhong-Jian Liu Dong-Hui Peng Key Laboratory of National Forestry and Grassland Administration for Orchid Conservation and Utilization at College of Landscape Architecture Fujian Agriculture and Forestry UniversityFuzhou 350002China Innovation and Application Engineering Technology Research Center of Ornamental Plant Germplasm Resources in Fujian Province Fuzhou 350002China

Melastomataceae has abundant morphological diversity with high economic and ornamental merit in Myrtales. The phylogenetic position of Myrtales is still contested. Here, we report the chromosome-level genome assembly of Melastoma dodecandrum in Melastomataceae. The assembled genome size is299.81 Mb with a contig N50 value of 3.00 Mb. Genome evolution analysis indicated that M. dodecandrum,Eucalyptus grandis, and Punica granatum were clustered into a clade of Myrtales and formed a sister group with the ancestor of fabids and malvids. We found that M. dodecandrum experienced four whole-genome polyploidization events: the ancient event was shared with most eudicots, one event was shared with Myrtales, and the other two events were unique to M. dodecandrum. Moreover, we identified MADS-box genes and found that the AP1-like genes expanded, and AP3-like genes might have undergone subfunctionalization. The SUAR63-like genes and AG-like genes showed different expression patterns in stamens, which may be associated with heteranthery. In addition, we found that LAZY1-like genes were involved in the negative regulation of stem branching development, which may be related to its creeping features. Our study sheds new light on the evolution of Melastomataceae and Myrtales, which provides a comprehensive genetic resource for future research.

关键词： Melastoma Genome evolution Flower development Heteranthery Flower color Creeping stem

Flexible Graphene Field‑Effect Transistors and Their Application in Flexible Biomedical Sensing

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Nano-Micro Letters 2025年第2期17卷 252-313页

作者： Mingyuan Sun Shuai Wang Yanbo Liang chao Wang Yunhong Zhang Hong Liu Yu Zhang Lin han Institute of Marine Science and Technology Shandong UniversityQingdao 266237ShandongPeople’s Republic of China State Key Laboratory of Crystal Materials Shandong UniversityJinan 250100ShandongPeople’s Republic of China School of Integrated Circuits Shandong UniversityJinan 250100ShandongPeople’s Republic of China Shandong Engineering Research Center of Biomarker and Artificial Intelligence Application Jinan250100ShandongPeople’s Republic of China

Flexible electronics are transforming our lives by making daily activities more *** to this innovation are field-effect transistors(FETs),valued for their efficient signal processing,nanoscale fabrication,low-power consumption,fast response times,and ***,known for its exceptional mechanical properties,high electron mobility,and biocompatibility,is an ideal material for FET channels and *** combination of graphene and FETs has given rise to flexible graphene field-effect transistors(FGFETs),driving significant advances in flexible electronics and sparked a strong interest in flexible biomedical ***,we first provide a brief overview of the basic structure,operating mechanism,and evaluation parameters of FGFETs,and delve into their material selection and patterning *** ability of FGFETs to sense strains and biomolecular charges opens up diverse application *** specifically analyze the latest strategies for integrating FGFETs into wearable and implantable flexible biomedical sensors,focusing on the key aspects of constructing high-quality flexible biomedical ***,we discuss the current challenges and prospects of FGFETs and their applications in biomedical *** review will provide valuable insights and inspiration for ongoing research to improve the quality of FGFETs and broaden their application prospects in flexible biomedical sensing.

关键词： Flexible Graphene Field-effect transistor Wearable Implantable Biosensor

Cerebral fat embolism following autologous fat injection in facial reconstruction:A case report

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World Journal of Clinical Cases 2025年第2期13卷 50-58页

作者： Xiu-Ying Chen Fa Shen Chang Cheng Yu-han Wang wen-chao Cheng De-Zhi Yuan wen Huang Department of Neurology Chongqing Emergency Medical CenterChongqing University Central HospitalChongqing 400000China Department of Neurology Xinqiao HospitalThe Army Medical University(Third Military Medical University)Chongqing 400000China

BACKGROUND Autologous fat injection in facial reconstruction is a common cosmetic *** cerebral fat embolism(CFE)as a complication is rare,it carries serious health *** SUMMARY We present a case of a 29-year-old female patient who developed acute CFE following facial fat filling *** the surgery,the patient experienced symptoms including headache,nausea,vomiting,and difficulty breathing,which was followed by neurological symptoms such as slurred speech and left-sided *** physical examination and auxiliary investigations,including blood tests,head and neck computed tomography angiography,and cranial magnetic resonance diffusion-weighted imaging,were performed upon *** clinical diagnosis was acute cerebral embolism following facial fat filling *** included measures to improve cerebral circulation,dehydration for intracranial pressure reduction,nutritional support,and rehabilitation therapy for left limb *** patient showed a significant improvement in symptoms after 2 weeks of *** recovered left limb muscle strength to grade 5,had clear speech,and experienced complete relief of *** Our case highlights the potential occurrence of severe complications in patients undergoing fat injection in facial *** prevent these complications,plastic surgeons should enhance their professional knowledge and skills.

关键词： Cerebral fat embolism Mechanical thrombectomy Thrombolysis Steroid therapy Symptomatic treatment Case report

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岷江干流表层沉积物中磷形态空间分布特征

环境科学 2018年第5期39卷 2165-2173页

作者：杨耿秦延文韩超南马迎群刘志超杨晨晨中国环境科学研究院环境保护河口与海岸带环境重点实验室北京100012

近些年,岷江水体TP污染情况严重,而水体沉积物这一潜在污染源,对水质安全带来的威胁也不容忽视.为揭示岷江干流表层沉积物中磷形态的空间分布特征,于2016年12月,采集了岷江干流(阿坝~宜宾)表层沉积物样品,应用改进的SEDEX法对表层沉积... 详细信息

近些年,岷江水体TP污染情况严重,而水体沉积物这一潜在污染源,对水质安全带来的威胁也不容忽视.为揭示岷江干流表层沉积物中磷形态的空间分布特征,于2016年12月,采集了岷江干流(阿坝~宜宾)表层沉积物样品,应用改进的SEDEX法对表层沉积物中的弱吸附态磷Ex-P、可提取态有机磷Org-P、铁结合态磷Fe-P、自生磷灰石磷Ca-P、碎屑磷De-P和非活性磷Res-P等6种磷形态质量浓度进行了测定.结果表明,岷江干流表层沉积物中总磷TP的质量浓度为522.17~979.22μg·g^(-1),已远超全国土壤磷素背景值700μg·g^(-1),表明岷江沉积物中TP浓度较高.从空间分布来看,岷江中游眉山河段中的表层沉积物是颗粒最细、有机质和TP质量浓度最高的区域.岷江干流表层沉积物磷的主要赋存形态为Ca-P和DeP,两者共占TP的质量分数为75%以上.同时,岷江干流表层沉积物中的生物可利用磷(Ex-P、Org-P和Fe-P总和)占TP的质量分数为10.31%~29.62%,其中以中游河段(尤其是眉山段、乐山段)质量浓度最高,这表明岷江中游河段表层沉积物中磷的生物可利用性较强,潜在环境风险较高.

关键词：岷江表层沉积物磷形态水质分布

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基于话题自适应的中文微博情感分析

计算机科学 2013年第11期40卷 231-235,270页

作者：任远巢文涵周庆李舟军北京航空航天大学计算机学院北京100191

近年来,随着社会网络的迅速兴起,面向社会网络的情感分析技术逐渐成为数据挖掘领域新的研究热点。中文微博以其语言简短、文法灵活的特点,给情感分析的研究工作带来了新的挑战。对数据预处理、情感词典构造、话题元素引入等中文微博情... 详细信息

近年来,随着社会网络的迅速兴起,面向社会网络的情感分析技术逐渐成为数据挖掘领域新的研究热点。中文微博以其语言简短、文法灵活的特点,给情感分析的研究工作带来了新的挑战。对数据预处理、情感词典构造、话题元素引入等中文微博情感分析技术进行了系统的研究,提出了给情感词分级的方法以提升情感分析的准确度;同时提出了面向话题的自适应方法以更准确地识别情感词;最后实验结果验证了以上方法的有效性。

关键词：中文微博情感分析情感词话题自适应

Mechanistic insight into the synergy between nickel single atoms and nanoparticles on N-doped carbon for electroreduction of CO2

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Journal of Energy Chemistry 2025年第1期100卷 327-336页

作者： Mingdong Sun wenwen Guan Cailing Chen chao Wu Xiaoling Liu Biao Meng Tao Chen Yu han Jun Wang Shibo Xi Yu Zhou State Key Laboratory of Materials-Oriented Chemical Engineering College of Chemical Engineering Nanjing Tech University Advanced Membranes and Porous Materials Center Physical Sciences and Engineering Division King Abdullah University of Science and Technology Institute of Sustainability for Chemicals Energy and Environment A*STAR (Agency for Science Technology and Research) College of Materials Science and Engineering Sichuan University

The synergy of single atoms （SAs） and nanoparticles （NPs） has demonstrated great potential in promoting the electrocatalytic carbon dioxide reduction reaction （CO2RR）;however,the rationalization of the SAs/NPs proportion remains one challenge for the catalyst ***,a Ni2+-loaded porous poly（ionic liquids）(PIL) precursor synthesized through the free radical self-polymerization of the ionic liquid monomer,1-allyl-3-vinylimidazolium chloride,was pyrolyzed to prepare the Ni,N co-doped carbon materials,in which the proportion of Ni SAs and NPs could be facilely modulated by controlling the annealing *** catalyst Ni-NC-1000 with a moderate proportion of Ni SAs and NPs exhibited high efficiency in the electrocatalytic conversion of CO2into *** Ni K-edge X-ray absorption near-edge structure （XANES） spectra and theoretical calculations were conducted to gain insight into the synergy of Ni SAs and *** charge transfer from Ni NPs to the surrounding carbon layer and then to the Ni SAs resulted in the electron-enriched Ni SAs active *** the electroreduction of CO2,the coexistence of Ni SAs and NPs strengthened the CO2activation and the affinity towards the key intermediate of*COOH,lowering the free energy for the potential-determining*CO2→*COOH step,and therefore promoted the catalysis efficiency.

关键词： Activation energy