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Astronomical Knowledge Entity Extraction in Astrophysics Journal Articles via Large Language Models

Research in Astronomy and Astrophysics 2024年第6期24卷 140-155页

作者： Wujun Shao Rui Zhang Pengli Ji Dongwei Fan yaohua hu Xiaoran Yan Chenzhou Cui Yihan Tao Linying Mi Lang Chen National Astronomical Observatories Chinese Academy of SciencesBeijing 100101China University of Chinese Academy of Sciences Beijing 100049China National Astronomical Data Center Beijing 100101China Research Institute of Artificial Intelligence Zhejiang LabHangzhou 311100China Guilin University Guangxi 541006China Xidian University Xi’an 710126China

Astronomical knowledge entities,such as celestial object identifiers,are crucial for literature retrieval and knowledge graph construction,and other research and applications in the field of *** methods of extracting knowledge entities from texts face numerous challenging obstacles that are difficult to ***,there is a pressing need for improved methods to efficiently extract *** study explores the potential of pre-trained Large Language Models(LLMs)to perform astronomical knowledge entity extraction(KEE)task from astrophysical journal articles using *** propose a prompting strategy called PromptKEE,which includes five prompt elements,and design eight combination prompts based on *** select four representative LLMs(Llama-2-70B,GPT-3.5,GPT-4,and Claude 2)and attempt to extract the most typical astronomical knowledge entities,celestial object identifiers and telescope names,from astronomical journal articles using these eight combination *** accommodate their token limitations,we construct two data sets:the full texts and paragraph collections of 30 *** the eight prompts,we test on full texts with GPT-4and Claude 2,on paragraph collections with all *** experimental results demonstrate that pre-trained LLMs show significant potential in performing KEE tasks,but their performance varies on the two data ***,we analyze some important factors that influence the performance of LLMs in entity extraction and provide insights for future KEE tasks in astrophysical articles using ***,compared to other methods of KEE,LLMs exhibit strong competitiveness in multiple aspects.

关键词： astronomical databases:miscellaneous virtual observatory tools methods:data analysis

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考虑评论情感表达力及其重要性的个性化推荐算法

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数据分析与知识发现 2024年第1期8卷 69-79页

作者：李慧胡耀华徐存真西安电子科技大学经济与管理学院西安710119

【目的】针对数据稀疏性问题,为探索情感表达对用户特征表示的影响,提出一种考虑评论情感表达力及其重要性的个性化推荐算法。【方法】使用BERT预训练语言模型获取评论文本的向量表示,通过Bi-GRU网络学习其中的语义特征,分别采用情感权... 详细信息

【目的】针对数据稀疏性问题,为探索情感表达对用户特征表示的影响,提出一种考虑评论情感表达力及其重要性的个性化推荐算法。【方法】使用BERT预训练语言模型获取评论文本的向量表示,通过Bi-GRU网络学习其中的语义特征,分别采用情感权重和注意力机制为评论向量分配权重,最后利用DeepFM算法对用户特征和产品特征进行深度交互,预测用户对产品的评分值。【结果】在Amazon Product Data数据集上的实验结果表明,所提算法比基线算法在RMSE和MAE指标上最多可降低24.43%和31.44%;使用情感权重为用户评论加权的方法相比于注意力机制,在RMSE与MAE指标上最多可降低2.59%和3.89%。【局限】所用情感分析方法无法表现用户对产品不同属性的情感倾向。【结论】所提算法考虑了情感对用户特征表达的影响,能够提高推荐准确性。

关键词：推荐算法深度学习情感分析注意力机制

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结构稀疏优化模型的理论与算法

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中国科学：数学 2024年第7期54卷 1045-1070页

作者：胡耀华李昱帆刘艳艳覃静深圳大学数学科学学院深圳518060 中山大学理学院深圳518107 中山大学药学院(深圳) 深圳518107

结构稀疏优化在压缩感知、信号与图像处理、机器学习和生物医学等领域应用广泛,是优化领域非常热门的研究课题.本文首先介绍稀疏优化与组稀疏优化的相关模型,并概述混合稀疏优化与联合稀疏优化的相关模型及近年来的进展;其次从理论与算... 详细信息

结构稀疏优化在压缩感知、信号与图像处理、机器学习和生物医学等领域应用广泛,是优化领域非常热门的研究课题.本文首先介绍稀疏优化与组稀疏优化的相关模型,并概述混合稀疏优化与联合稀疏优化的相关模型及近年来的进展;其次从理论与算法两个方面阐述关于稀疏优化与组稀疏优化模型的研究进展,包括相合性理论与求解算法;最后提出一些结构稀疏优化领域值得深入研究的方向.总体来说,结构稀疏优化的研究虽已取得一些成果,但仍存在理论问题亟待解决.

关键词：稀疏优化组稀疏优化相合性理论一阶算法二阶算法收敛性理论

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碱性过硫酸钾-紫外分光光度法测定水质总氮方法的改进

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岩矿测试 2024年第1期43卷 114-123页

作者：刘振超李志雄陆迁树王晓娜张松胡耀华中国地质调查局昆明自然资源综合调查中心云南昆明650111

水质总氮是指示水体富营养化的重要标志物,因此,开发测定水体中总氮的准确方法,对研究水体中的污染物来源、污染程度及总氮的地球化学循环过程具有重要意义。测定水质样品中的总氮,通常采用碱性过硫酸钾-紫外分光光度法,但该法对空白吸... 详细信息

水质总氮是指示水体富营养化的重要标志物,因此,开发测定水体中总氮的准确方法,对研究水体中的污染物来源、污染程度及总氮的地球化学循环过程具有重要意义。测定水质样品中的总氮,通常采用碱性过硫酸钾-紫外分光光度法,但该法对空白吸光度有严苛的要求,空白吸光度一旦超过0.030,就有可能导致测定结果严重偏低,其中,过硫酸钾的纯度和存放时间可能对测定结果影响最大;同时,采用比色管捆绑方式高温高压消解水质样品,导热较慢,消解时间偏长,捆绑时一旦比色管上的标签或记号脱落,容易导致样品混乱;样品保存条件不当也很容易造成测定结果偏低。为提高水质样品中总氮测定结果的准确性和效率,本文通过对国内外不同厂家生产的过硫酸钾进行总氮空白吸光度和存放时间对比实验,然后对两种消解方法进行消解时间对比实验,最后,对比了两种不同水质样品保存方法对测定结果的影响。对比实验结果表明:国产优级纯碱性过硫酸钾存放时间在30天内,其水质总氮空白吸光度均小于0.030;在124℃条件下,使用插置法消解样品,只用20min就能使样品消解完全;对酸化后的水质样品,其保质期从1天延长至7天。研究认为,选用国产优级纯过硫酸钾和改良过的插置法消解水质样品,与捆绑法相比,其水质总氮检出限更低,消解效率更高,且不容易出现互相污染和样品错位等情况,提高了水质总氮测定的准确度。

关键词：过硫酸钾紫外分光光度法水质总氮方法改进

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基于流形神经网络的协作频谱感知

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东莞理工学院学报 2024年第3期31卷 53-59页

作者：袁豪王永华黄文平胡耀华王晓蕾广东工业大学自动化学院广东广州510006 东莞理工学院电信工程与智能化学院广东东莞523808 南方电网数字电网科技(广东)有限公司广东广州510730

针对传统频谱感知在复杂信号环境,如低信噪比和多路径衰落等情况下的性能局限,提出了一种基于黎曼流形神经网络的创新性协作频谱感知方案。该方法首先通过将多个协作用户的信号矩阵映射到黎曼流形上,生成具有几何特性的协方差矩阵。接着... 详细信息

针对传统频谱感知在复杂信号环境,如低信噪比和多路径衰落等情况下的性能局限,提出了一种基于黎曼流形神经网络的创新性协作频谱感知方案。该方法首先通过将多个协作用户的信号矩阵映射到黎曼流形上,生成具有几何特性的协方差矩阵。接着,利用黎曼流形神经网络进行高效的信号特征分类和频谱感知。黎曼流形神经网络不仅充分发挥了黎曼流形在非欧几里得数据结构上的优势,而且结合了神经网络强大的表达能力,从而在各种复杂环境下都展示出显著优越的频谱感知性能。通过一系列详细的仿真实验,证明了该方法在多样化环境下的优越性能,展示了其在实际无线通信系统中的潜在应用价值。

关键词：认知无线电协作频谱感知黎曼流形神经网络 SPDNet

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Kinetic models of peroxidase activity in potato leaves infected with late blight based on hyperspectral data

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International Journal of Agricultural and Biological Engineering 2019年第2期12卷 160-165页

作者： Qinyu Li yaohua hu College of Mechanical and Electronic Engineering Northwest A&F UniversityYangling 712100China Key Laboratory of Agricultural Internet of Things Ministry of AgricultureYangling 712100China Shaanxi Key Laboratory of Agricultural Information Perception and Intelligent Service Yangling 712100China

Potato late blight,which is caused by Phytophthorainfestans(Mont.)de Bary,is a worldwide devastating disease for *** decreased yields of potato and caused unpredictable losses all over the *** simple statistical methods and forecasting models have been developed to predict and manage potato late ***,there is a rising need to develop prediction models reflecting peroxidase(POD)activity,which is an important health index that varies with infection and correlated with stress resistance in ***,the aim of this research was to develop kinetic models to predict POD ***-induced changes in potato leaves stored in an artificial climate chest at 25°C were analyzed using *** prediction models were developed by using linear partial least squares(PLS)and nonlinear support vector machine(SVM)methods based on the full spectrum and effective *** effective wavelengths were selected by the successive projection algorithm(SPA).In this study,the prediction model developed by means of SPA-SVM method obtained the best performance,with a Rp(correlation coefficient of prediction)value of 0.923 and a RMSEp(root mean square error of prediction)value of ***-order kinetics models according to the prediction model were developed,and late blight disease can be predicted using this *** study provided a theoretical basis for the prediction of latencies of late blight.

关键词： POD(peroxidase)activity kinetic model potato leaves late blight hyperspectral data latency prediction

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Application of modified quartz crystal sensors:Detection of isobutyl alcohol,ethyl acetate and ethylene

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International Journal of Agricultural and Biological Engineering 2014年第5期7卷 71-77页

作者： Hou Juncai hu yaohua Guo Kangquan College of Mechanical and Electronic Engineering Northwest A&F UniversityYangling 712100China

Aroma volatilization is one of the very important attributes of agricultural products during *** of aroma compounds experience changes over products’different ripening *** paper aimed to develop a detection system based on modified quartz crystal sensors to detect volatile organic compounds(VOCs).By drop-coating on sensors’surface,four sensors were made using quartz crystal resonators coated with four different absorbable materials:ethyl cellulose,cellulose acetate,1,2-dioleoyl-sn-glycero-3-[phosphor-L-serine],and galactosyl *** the diversely coated sensors,three VOCs:isobutyl alcohol,ethyl acetate and ethylene were detected at ppm *** investigate the structure influence of the coated sensing films on VOCs absorption,the topography of films was imaged in 3D using atomic force microscopy(AFM)in tap mode for qualitative analysis of gas *** selectivity and sensitivity were investigated when sensors were exposed to VOCs with increasing *** results showed that the frequency shift of sensors was linear to the concentrations of all three VOCs in the range of 5-25 *** values reaching over 4.5 Hz/ppm,the sensitivity of cellulose acetate coated sensor to three VOCs was similar,higher than that of sensors with other *** high sensitivity of the cellulose acetate coated sensor might be due to the film’s rough surface and porous *** results may help further research on detection of fruits’organic volatiles during the ripening stage.

关键词： quartz crystal sensor atomic force microscopy detection selectivity sensitivity volatile organic compounds

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坏死性凋亡在胰腺疾病中的作用机制研究进展

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中国实验动物学报 2024年第7期32卷 933-941页

作者：杨润泽秦靖郭晨博胡耀华汪湛东张延英宋冰白敏师长宏汪永锋甘肃中医药大学基础医学院兰州730000 空军军医大学实验动物中心陕西延安716000 延安大学医学院西安710000

坏死性凋亡介于细胞凋亡和坏死之间,是一种受调控的天冬氨酸特异性半胱氨酸蛋白酶非依赖性程序性细胞死亡,可诱导炎症反应发生。研究表明,它与胰腺疾病的病程进展及预后密切相关,在胰腺疾病进展中发挥重要的双向调控作用,且相关的坏死... 详细信息

坏死性凋亡介于细胞凋亡和坏死之间,是一种受调控的天冬氨酸特异性半胱氨酸蛋白酶非依赖性程序性细胞死亡,可诱导炎症反应发生。研究表明,它与胰腺疾病的病程进展及预后密切相关,在胰腺疾病进展中发挥重要的双向调控作用,且相关的坏死性凋亡抑制剂与诱导剂有望用于胰腺疾病的治疗。基于此,本文对坏死性凋亡发生的机制及其在胰腺疾病进展中的作用进行综述,旨在为胰腺疾病的发病机制和治疗提供新的认识,为其靶向性药物的研发提供理论依据。

关键词：坏死性凋亡急性胰腺炎胰腺癌受体相互作用蛋白激酶1 受体相互作用蛋白激酶3 混合谱系激酶结构域样

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Classification of ripening stages of bananas based on support vector machine

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International Journal of Agricultural and Biological Engineering 2015年第6期8卷 99-103页

作者： Hou Juncai hu yaohua Hou Lixia Guo Kangquan Takaaki Satake College of Mechanical and Electric Engineering Northwest A&F UniversityYangling 712100China Graduate School of Life and Environmental Sciences University of Tsukuba1-1-1TennodaiTsukuba 305-8702Japan

Non-destructive quality detection and automatic grading are important in fruit *** traditional way divides bananas into 7-level ripening stages based on *** study investigated the changes of peel color at three positions of banana fingers,***,middle and tip.A support vector machine method was used to classify the ripening stages by color value L*,a*and b*as input *** ripening stages were classified by 10-fold cross validation method of support vector machines with radial basis function kernel and linear function *** results showed that the color change of middle position of banana finger adequately reflected the changes in banana ripening stages.a*value continuously increased from ripening stage 1 to ripening stage 7,L*and b*values increased from ripening stage 1 to ripening stage 5,and then decreased from ripening stage 5 to ripening stage *** was difficult to recognize the ripening stages using L*,a*and b*values *** accuracy of classification using support vector machine based on radial basis function kernel reached 96.5%,which was higher than that for linear function *** research can provide a reference for automatic classification of banana ripening stages.

关键词： banana ripening stage color change support vector machine classification image recognition

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Detection of Staphylococcus Aureus using quantum dots as fluorescence labels

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International Journal of Agricultural and Biological Engineering 2014年第1期7卷 77-83页

作者： hu yaohua Wang Chengcheng Bai Bing Li Mintong Ronghui Wang Yanbin Li College of Mechanical and Electronic Engineering Northwest A&F UniversityYanglingShaanxi 712100China Department of Biological and Agricultural Engineering University of ArkansasFayettevilleAR 72701USA

Staphylococcus aureus(***)has been identified as one of the major foodborne pathogenic *** development of rapid detection methods for *** is needed for assuring food *** this study,quantum dots were used as fluorescent labels in an immunoassay for quantitative detection of ***,biotin-labeled *** antibody was conjugated with streptavidin-coated magnetic nanobeads(180 nm diameter)and used to separate *** *** streptavidin coated quantum dots(QDs)were conjugated with biotin-labeled *** antibody and used as the fluorescence labels to mix with the separated *** the fluorescence intensity of the bead-cell-QD complexes was measured at a wavelength of 620 nm.A linear relationship between *** cell number(X)and fluorescence intensity(Y)was found for cell numbers ranging from 10^(3) to 10^(6) CFU(Colony Forming Unit)/mL,and the detection limit was 10^(3) CFU/*** regression model can be expressed as Y=7.68X+35.06 with R^(2)=*** detection of *** in food sample was explored *** fluorescence intensity of food sample was close to the background,so it was not *** study will focus on the application of the method for detection of *** in food sample.

关键词： staphylococcus aureus fluorescence measurement biological detection quantum dots microbial monitoring food safety

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