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浙闽入海河流重矿物组成自动识别及物源指示意义

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海洋地质与第四纪地质 2025年第1期45卷 79-92,I0001-I0003页

作者：崔育华刘梦佳黄湘通杨守业岳伟赵希林靳国栋同济大学海洋地质国家重点实验室上海200092 江苏师范大学地理测绘与城乡规划学院徐州221116 中国地质调查局南京地质调查中心南京210016

沉积物重矿物组成分析是开展物源分析的重要手段之一。然而,常规重矿物人工鉴定存在误差大、统计量小、重复性差等问题,在如何通过重矿物组成揭示物源特征和示踪沉积物源汇过程等方面还具有很大挑战。通过矿物自动定量分析技术TIMA(TESC... 详细信息

沉积物重矿物组成分析是开展物源分析的重要手段之一。然而,常规重矿物人工鉴定存在误差大、统计量小、重复性差等问题,在如何通过重矿物组成揭示物源特征和示踪沉积物源汇过程等方面还具有很大挑战。通过矿物自动定量分析技术TIMA(TESCAN Integrated Mineral Analyzer),本文对钱塘江、椒江、闽江等浙闽流域8条主要入海河流的26个沉积物样品进行了重矿物分析,通过对人工鉴定结果对比及流域地质背景的比较,探讨了TIMA重矿物分析在物源示踪方面的潜力。共分析了209019个矿物颗粒,区分出3.种不同类型的重矿物。与人工鉴定方法比较,二者对河流主要重矿物类型及其相对含量变化的鉴定结果基本一致,但TIMA耗时更少,鉴别出的重矿物数量和类型更多,且鉴定结果重现性好。TIMA重矿物分析结果表明:浙闽流域主要的重矿物组合为帘石族、角闪石族与铁质金属矿物,其中,绿黝帘石占重矿物百分比高,是浙闽流域的典型重矿物;角闪石族矿物主要为普通角闪石,其次为铁阳起石,含量在不同流域样品间有显著差异;铁质金属矿物百分比在大部分样品中大于40%,含有赤铁矿、磁铁矿、褐铁矿、钛铁矿与自生黄铁矿等矿物。整体上,浙西北、浙东南与闽西北、闽西南、闽东地区出露地层岩性的差异决定了浙闽河流重矿物组成的特征差异。主成分分析表明,磷灰石、角闪石族和榍石的较高正载荷(>0.88)与主成分1相关,指示了主成分1受岩浆岩源岩的控制;而主成分2与黑电气石、石榴石族和绿泥石的较高正载荷相关,代表了受变质岩源岩的影响。本研究表明,在对重矿物精确性要求较高的研究中利用TIMA等自动矿物识别方法对河流至海域的重矿物进行从源到汇的系统研究更为高效。

关键词：浙闽入海河流重矿物组成 TIMA 主成分分析

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论魏晋南北朝人称代词“之”和“其”的变化

同济大学学报（社会科学版） 2002年第6期13卷 110-115页

作者：李萍同济大学文法学院文化艺术系

本文在定量统计基础上 ,通过历时与共时对比 ,对《三国志》人称代词“之”和“其”的用法作了考察和描写 ,着重探讨了魏晋南北朝时期二者在语法功能、格位分布和使用频率上的发展变化 :“之”主要沿袭上古用法 ,否定句中作宾语完全后置 ... 详细信息

本文在定量统计基础上 ,通过历时与共时对比 ,对《三国志》人称代词“之”和“其”的用法作了考察和描写 ,着重探讨了魏晋南北朝时期二者在语法功能、格位分布和使用频率上的发展变化 :“之”主要沿袭上古用法 ,否定句中作宾语完全后置 ;“其”功能扩大 ,可作句子主语、宾语、兼语 ,作宾语和兼语可与“之”互用 ,呈现出取代“之”的趋势。

关键词： '之' '其' 语法功能格位分布使用频率

Micro-Expression Recognition Algorithm Based on Information Entropy Feature

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Journal of Shanghai Jiaotong university(Science) 2020年第5期25卷 589-599页

作者： WU jin MIN Yu yang Xiaodie MA Simin school of Electronic Engineering Xi'an University of Posts and TelecoinniunicationsXi'an 710121China

The intensity of the micro-expression is weak,although the directional low frequency components in the image are preserved by many algorithms,the extracted micro-expression ft^ature information is not sufficient to accurately represent its *** order to improve the accuracy of micro-expression recognition,first,each frame image is extracted from,its sequences,and the image frame is pre-processed by using gray normalization,size normalization,and two-dimensional principal component analysis(2DPCA);then,the optical flow method is used to extract the motion characteristics of the reduced-dimensional image,the information entropy value of the optical flow characteristic image is calculated by the information entropy principle,and the information entropy value is analyzed to obtain the ***,more micro-expression feature information is extracted,including more important information,which can further improve the accuracy of micro-expression classification and recognition;finally,the feature images are classified by using the support vector machine(SVM).The experimental results show that the micro-expression feature image obtained by the information entropy statistics can effectively improve the accuracy of micro-expression recognition.

关键词： micro-expression recognition two-dimensional principal component analysis(2DPCA) optical flow information entropy statistics support vector machine(SVM)

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白河自然保护区种子植物区系特征

西南师范大学学报（自然科学版） 2004年第4期29卷 669-673页

作者：陈亚飞邓洪平谢大军李玉泉江波叶大进孙敏西南师范大学生命科学学院四川大学生命科学学院生物学博士后流动站

在对四川白河自然保护区种子植物资源多次调查和大量标本采集、鉴定的基础上,对其种子植物的科属组成、分布区类型、区系特征等进行了统计和分析.表明:①保护区区系成分复杂,类型丰富;②优势科、属明显;③起源古老;④地理成分复杂;⑤具... 详细信息

在对四川白河自然保护区种子植物资源多次调查和大量标本采集、鉴定的基础上,对其种子植物的科属组成、分布区类型、区系特征等进行了统计和分析.表明:①保护区区系成分复杂,类型丰富;②优势科、属明显;③起源古老;④地理成分复杂;⑤具明显的温带性质;⑥具明显的过渡性质;⑦分化现象明显,特有属、种丰富.

关键词：白河自然保护区种子植物区系特征

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不同术式鼓室成形术后患者的听力分析

听力学及言语疾病杂志 2010年第3期18卷 215-217页

作者：舒敏金晓杰王家东上海交通大学耳鼻咽喉科研究所上海交通大学医学院附属仁济医院耳鼻咽喉头颈外科上海200001

目的探讨不同术式鼓室成形术对中耳增益的影响。方法研究对象为13.例(13.耳)慢性化脓性中耳炎患者,根据手术类型分为伴乳突切除术的鼓室成形术26例(26耳,I组)、不伴乳突切除术的鼓室成形术61例(62耳,II组)和单纯鼓膜修补术48例(49耳,III... 详细信息

目的探讨不同术式鼓室成形术对中耳增益的影响。方法研究对象为13.例(13.耳)慢性化脓性中耳炎患者,根据手术类型分为伴乳突切除术的鼓室成形术26例(26耳,I组)、不伴乳突切除术的鼓室成形术61例(62耳,II组)和单纯鼓膜修补术48例(49耳,III组)三组。比较三组患者干耳后平均听阈及各频率听阈改善情况,计算各组的中耳危险指数(middle ear risk index,MERI)值,分析MERI值与术后疗效的相关性。结果 II组较I组患者术后平均听阈明显降低(P0.05),各组术后听力改善与MERI值无明显相关性。结论不伴乳突切除术的鼓室成形术对中耳增益效应影响显著,术后患者听功能改善明显,鼓室成形术后疗效与MERI值无显著相关性。

关键词：鼓室成形术中耳增益机制中耳危险指数值

From Symbols to Embeddings:A Tale of Two Representations in Computational Social Science

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Journal of Social Computing 2021年第2期2卷 103-156页

作者： Huimin Chen Cheng yang Xuanming Zhang Zhiyuan Liu Maosong Sun Jianbin jin school of Journalism and Communication Tsinghua UniversityBeijing 100084China school of Computer Science Beijing University of Posts and TelecommunicationsBeijing 100876China Department of Computer Science and Technology Tsinghua UniversityBeijing 100084China

Computational Social Science(CSS),aiming at utilizing computational methods to address social science problems,is a recent emerging and fast-developing *** study of CSS is data-driven and significantly benefits from the availability of online user-generated contents and social networks,which contain rich text and network data for ***,these large-scale and multi-modal data also present researchers with a great challenge:how to represent data effectively to mine the meanings we want in CSS?To explore the answer,we give a thorough review of data representations in CSS for both text and ***,we summarize existing representations into two schemes,namely symbol-based and embeddingbased representations,and introduce a series of typical methods for each ***,we present the applications of the above representations based on the investigation of more than 400 research articles from 6 top venues involved with *** the statistics of these applications,we unearth the strength of each kind of representations and discover the tendency that embedding-based representations are emerging and obtaining increasing attention over the last ***,we discuss several key challenges and open issues for future *** survey aims to provide a deeper understanding and more advisable applications of data representations for CSS researchers.

关键词： Computational Social Science(CSS) symbol-based representation embedding-based representation social network

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实分析中几种收敛性之间的关系

咸阳师范学院学报 2011年第6期26卷 4-5页

作者：贾金平张凡娣代丽芳天水师范学院数学与统计学院甘肃天水741001

系统讨论了实分析中函数列的平均收敛,测度收敛以及几乎处处收敛之间的关系,给出它们之间的推导,并构造出了反列。

关键词：平均收敛依测度收敛几乎处处收敛

Sin1/mTORC2 regulate B cell growth and metabolism by activating mTORC1 and Myc

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Cellular & Molecular Immunology 2019年第9期16卷 757-769页

作者： Man Li Adam S.Lazorchak Xinxing Ouyang Huihui Zhang hongzhi Liu Omotooke A.Arojo Lichong Yan jingsi jin Yuheng Han Guojun Qu Yuhong Fu Xiaocao Xu Xiaobo Liu Wenqian Zhang Zhengfeng yang Chuan Ruan Qijun Wang Dou Liu Chuanxin Huang Lu Lu Shibo Jiang Fubin Li Bing Su Shanghai Institute of Immunology Department of Immunology and MicrobiologyKey Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of EducationShanghai Jiao Tong University School of MedicineShanghai 200025China Department of Immunobiology and the Vascular Biology and Therapeutics Program Yale University School of Medicine333 Cedar StreetNew HavenConnecticut 06520USA Present address:EMD Serono Research&Development Institute Inc.45 Middlesex TpkeBillericaMA 01821–3936USA Hongqiao International Institute of Medicine Shanghai Tongren Hospital and Faculty of Basic MedicineShanghai Jiao Tong University School of MedicineShanghai 200025China Shanghai Public Health Clinical Center and school of Basic Medical Sciences Key Laboratory of Medical Molecular Virology of MOE/MOHFudan UniversityShanghaiChina

Proper control of B cell growth and metabolism is crucial for B-cell-mediated immunity,but the underlying molecular mechanisms remain incompletely *** this study,Sin1,a key component of mTOR complex 2(mTORC2),specifically regulates B cell growth and *** ablation of Sin1 in B cells reduces the cell size at either the transitional stage or upon antigen stimulation and severely impairs ***1 deficiency also severely impairs B-cell proliferation,antibody responses,and anti-viral *** the molecular level,Sin1 controls the expression and stability of the c-Myc protein and maintains the activity of mTORC1 through the Akt-dependent inactivation of GSK3.and TSC1/2,***,our study reveals a novel and specific role for Sin1 in coordinating the activation of mTORC2 and mTORC1 to control B cell growth and metabolism.

关键词： metabolism immunity stimulation

Predicting influenza-like illness trends based on sentinel surveillance data in china from 2011 to 2019:A modelling and comparative study

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Infectious Disease Modelling 2024年第3期9卷 816-827页

作者： Xingxing Zhang Liuyang yang Teng Chen Qing Wang jin yang Ting Zhang Jiao yang Hongqing Zhao Shengjie Lai Luzhao Feng Weizhong yang school of Population Medicine and Public Health Chinese Academy of Medical Sciences&Peking Union Medical CollegeBeijing100073China State Key Laboratory of Respiratory Health and Multimorbidity China Key Laboratory of Pathogen Infection Prevention and Control(Peking Union Medical College) Ministry of EducationChina National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases National Institute for Communicable Disease Control and PreventionChinese Center for Disease Control and PreventionChina Department of Management Science and Information System Faculty of Management and EconomicsKunming University of Science and TechnologyKunming650506China Department of Applied Mathematics&statistics Stony Brook UniversityStony BrookNY11794-3600USA WorldPop School of Geography and Environmental ScienceUniversity of SouthamptonSouthamptonSO171BJUK

Background Influenza is an acute respiratory infectious disease with a significant global disease ***,the coronavirus disease 2019 pandemic and its related non-pharmaceutical interventions(NPIs)have introduced uncertainty to the spread of ***,comparative studies on the performance of innovative models and approaches used for influenza prediction are ***,this study aimed to predict the trend of influenza-like illness(ILI)in settings with diverse climate characteristics in china based on sentinel surveillance data using three approaches and evaluate and compare their predictive *** The generalized additive model(GAM),deep learning hybrid model based on Gate Recurrent Unit(GRU),and autoregressive moving average-generalized autoregressive conditional heteroscedasticity(ARMA—GARCH)model were established to predict the trends of ILI 1-,2-,3.,and 4-week-ahead in beijing,Tianjin,Shanxi,Hubei,Chongqing,Guangdong,Hainan,and the Hong Kong Special Administrative Region in china,based on sentinel surveillance data from 2011 to *** relevant metrics,namely,Mean Absolute Percentage Error(MAPE),Root Mean Squared Error(RMSE),and R squared,were calculated to evaluate and compare the goodness of fit and robustness of the three *** Considering the MAPE,RMSE,and R squared values,the ARMA—GARCH model performed best,while the GRU-based deep learning hybrid model exhibited moderate performance and GAM made predictions with the least accuracy in the eight settings in ***,the models’predictive performance declined as the weeks ahead ***,blocked cross-validation indicated that all models were robust to changes in data and had low risks of *** Our study suggested that the ARMA—GARCH model exhibited the best accuracy in predicting ILI trends in china compared to the GAM and GRU-based deep learning hybrid ***,in the future,the ARMA—GARCH model may be used

关键词： Influenza-like illness Influenza Sentinel surveillance china Predicting Modeling