Predicting Complex Word Emotions and Topics through a Hierarchical Bayesian Network

In this paper,we provide a Word Emotion Topic(WET) model to predict the complex word emotion information from text,and discover the distribution of emotions among different topics.A complex emotion is defined as the combination of one or more singular emotions from following 8 basic emotion categories:joy,love,expectation,surprise,anxiety,sorrow,anger and hate.We use a hierarchical Bayesian network to model the emotions and topics in the text.Both the complex emotions and topics are drawn from raw texts,without considering any complicated language features.Our experiment shows promising results of word emotion prediction,which outperforms the traditional parsing methods such as the Hidden Markov Model and the Conditional Random Fields(CRFs) on raw text.We also explore the topic distribution by examining the emotion topic variation in an emotion topic diagram.

基于复杂网络的在线口碑传播模型研究

在线口碑已成为信息传播领域的核心力量,对其进行系统分析对于理解当代社交媒体环境中的消费者行为至关重要。论文引入了传播激活和接受激活的概念,基于病毒传播的SIR模型构建在线口碑传播模型,并运用复杂网络和系统仿真的方法模拟在线口碑传播过程,深入探讨了不同因素对在线口碑传播规模的影响,识别了在线口碑传播网络中各个节点的特征并分析了网络的结构特性。结果表明,不同因素对在线口碑传播规模的作用不同,且关键节点和免疫节点具有不同的属性特征。此外,研究还发现在线口碑传播网络具有小世界特性和无标度特性,该结论进一步丰富了在线口碑传播的理论框架,也为企业网络营销策略及产品质量追溯的优化等提供一定的应用参考。

基于ASP和VBA技术自动生成复杂word格式试卷

针对目前大部分试卷生成系统生成试卷时版面过于简单、粗糙、布局不完善等弊端,提出了一种利用ASP和VBA技术,通过编程实现试题库中的试题自动输出到word并自动排版,以生成包含复杂word格式的试卷的方法.大量的测试表明,目标试卷较好地达到了预期要求.

Effect of HIV-1 Tat on Secretion of TNF-α and IL-1β by U87 Cells in AIDS Patients with or without AIDS Dementia Complex

Objective To explore the role of HIV-1 tat gene variations in AIDS dementia complex （ADC） pathogenesis. Methods HIV-1 tat genes derived from peripheral spleen and central basal ganglia of an AIDS patient with ADC and an AIDS patient without ADC were cloned for sequence analysis. HIV-1 tat gene sequence alignment was performed by using CLUSTAL W and the phylogentic analysis was conducted by using Neighbor-joining with MEGA4 software. All tat genes were used to construct recombinant retroviral expressing vector MSCV-IRES-GFP/tat. The MSCV-IRES-GFP/tat was cotransfected into 293T cells with pCMV-VSV-G and pUMVC vectors to assemble the recombinant retrovirus. After infection of gliomas U87 cells with equal amount of the recombinant retrovirus, TNF-α, and IL-1β concentrations in the supernatant of U87 cells were determined with ELISA. Results HIV-1 tat genes derived from peripheral spleen and central basal ganglia of the AIDS patient with ADC and the other one without ADC exhibited genetic variations. Tat variations and amino acid mutation sites existed mainly at Tat protein core functional area （38-47aa）. All Tat proteins could induce ug7 cells to produce TNF-α and IL-1β, but the level of IL-1β production was different among Tat proteins derived from the ADC patient＇s spleen, basal ganglia, and the non-ADC patient＇s spleen. The level of Tat proteins derived from the ADC patient＇s spleen, basal ganglia, and the non-ADC patient＇s spleen were obviously higher than that from the non-ADC patient＇s basal ganglia. Conclusion Tat protein core functional area （38-47aa） may serve as the key area of enhancing the secretion of IL-1β. This may be related with the neurotoxicity of HIV-1 Tat.

Kolmogorov-Chaitin Complexity of Digital Controller Implementations

The complexity of linear, fixed-point arithmetic digital controllers is investigated from a Kolmogorov-Chaitin perspective. Based on the idea of Kolmogorov-Chaitin complexity, practical measures of complexity are developed for statespace realizations, parallel and cascade realizations, and for a newly proposed generalized implicit state-space realization. The complexity of solutions to a restricted complexity controller benchmark problem is investigated using this measure. The results show that from a Kolmogorov-Chaitin viewpoint, higher-order controllers with a shorter word-length may have lower complexity and better performance, than lower-order controllers with longer word-length.

A BiLSTM cardinality estimator in complex database systems based on attention mechanism

An excellent cardinality estimation can make the query optimiser produce a good execution plan.Although there are some studies on cardinality estimation,the prediction results of existing cardinality estimators are inaccurate and the query efficiency cannot be guaranteed as well.In particular,they are difficult to accurately obtain the complex relationships between multiple tables in complex database systems.When dealing with complex queries,the existing cardinality estimators cannot achieve good results.In this study,a novel cardinality estimator is proposed.It uses the core techniques with the BiLSTM network structure and adds the attention mechanism.First,the columns involved in the query statements in the training set are sampled and compressed into bitmaps.Then,the Word2vec model is used to embed the word vectors about the query statements.Finally,the BiLSTM network and attention mechanism are employed to deal with word vectors.The proposed model takes into consideration not only the correlation between tables but also the processing of complex predicates.Extensive experiments and the evaluation of BiLSTM-Attention Cardinality Estimator(BACE)on the IMDB datasets are conducted.The results show that the deep learning model can significantly improve the quality of cardinality estimation,which is a vital role in query optimisation for complex databases.

Study of Complexes of Lanthanum with Amino Acids by Titration Calorimeter

The stability constants and thermodynamic functions for complexes of lanthanum with eight kind of amino acids according to 1∶1 and 1∶2 in proportion have been determined by titration calorimeter at 298.15 K. The enthalpy change makes a predominant contribution to the stability of these complexes. The ring in amino acid associated with lanthanum ion helps to enhance the stability of complexes. Steric effects between rings in complexes leads to that the equilibrium constants of reaction of the complexes (1∶2) is much less than that of the complexes (1∶1).

Synthesis and Characterization 9-tungstosilicate Complexes with Transition Metal

The title complexes KaHb[M(SiW9O34)2]?mH2O(M=Ni,Cu,Zn,Fe or Mn) were synthesized by SiW9O34 10? with transition metal respectively and their structure were characterized by mean of elemental analysis, TG-DTA, IR spectra and, UV spectra. In addition, their redox properties in solution were investigated using polarographic and cyclic voltammographic methods. Experimental results indicated that the complexes have Keggin structure and that the heteropolyanions underwent two-step, two-electron tungsten reduction processes.

A complexity measure approach based on forbidden patterns and correlation degree

Based on forbidden patterns in symbolic dynamics, symbolic subsequences are classified and relations between forbidden patterns, correlation dimensions and complexity measures are studied. A complexity measure approach is proposed in order to separate deterministic （usually chaotic） series from random ones and measure the complexities of different dynamic systems. The complexity is related to the correlation dimensions, and the algorithm is simple and suitable for time series with noise. In the paper, the complexity measure method is used to study dynamic systems of the Logistic map and the Henon map with multi-parameters.

A Contrastive Study of Word Order in Chinese and English

The present paper attempts to make a contrastive study on Chinese and English word order with a view of identifying the discrepancies and propose its significance to mutual translation.As to the research methodology,qualitative analysis and com parative analysis are adopted when the similarities and differences of the word order of English and Chinese are explained.It can be concluded that Chinese and English word order differs at the phrase level and sentence level:in terms of the discrepancies in phrase structure,they are mainly manifested in adverbial and attributive phrases;as to the discrepancies in sentence structure,they are reflected in simple,complex and special sentences.

Structures and dynamics of scientific knowledge networks:An empirical analysis based on a co-word network

Co-word networks are constructed with author-provided keywords in academic publications and their relations of co-occurrence.As special form of scientific knowledge networks,they represent the cognitive structure of scientific literature.This paper analyzes the complex structure of a co-word network based on 8,190 author-provided keywords extracted from 3,651 papers in five Chinese core journals in the field of management science.Small-world and scale-free phenomena are found in this network.A large-scale co-word network graph,which consists of one major giant component and many small isolated components,has been generated with the GUESS software.The dynamic growth of keywords and keyword co-occurrence relationships are described with four new informetrics measures.The results indicate that existing concepts always serve as the intellectual base of new ideas as represented by keywords.

Research of Paraphrasing for Chinese Complex Sentences Based on Templates

Based on the paraphrasing of Chinese simple sentences,the complex sen­tence paraphrasing by using templates are studied.Through the classifica­tion of complex sentences,syntactic analysis and structural analysis,the proposed methods construct complex sentence paraphrasing templates that the associated words are as the core.The part of speech tagging is used in the calculation of the similarity between the paraphrasing sentences and the paraphrasing template.The joint complex sentence can be divided into parallel relationship,sequence relationship,selection relationship,progres­sive relationship,and interpretive relationship’s complex sentences.The subordinate complex sentence can be divided into transition relationship,conditional relationship,hypothesis relationship,causal relationship and objective relationship’s complex sentences.Joint complex sentence and subordinate complex sentence are divided to associated words.By using pretreated sentences,the preliminary experiment is carried out to decide the threshold between the paraphrasing sentence and the template.A small scale paraphrase experiment shows the method is availability,acquire the coverage rate of paraphrasing template 40.20%and the paraphrase correct rate 62.61%.

复合数词语义运算显性标记的类型学考察

世界不同语言的复合数词通常由两个或多个成分通过数值语义运算方式构成,并部分运用显性标记标示。鉴于国内外相关研究不充分,文章运用多样性取样方法建立包括365种语言的语种库,对复合数词语义关系的显性标记进行类型学考察,新发现了两种特殊的显性标记:在不同语义运算中使用不同词形表示同一数值,以及运用不同停顿时长辅助标记语义运算顺序。不同语言显性标记与语义运算之间的对应情况各异,其具体选择存在4种制约因素:复合数词的数值大小、语义运算类型数量、相对数值关系、语义运算成分差异。不同语言显性标记的位置选择存在5个共性,其中1个是绝对共性,4个是倾向共性。

复杂适应系统理论视域下“下海”的词义演化研究

本文基于复杂适应系统的理论框架,以BCC语料库为语料来源,运用基于词汇变量的层次聚类法对“下海”的词义演化进行定性和定量考察,旨在分析其词义产生、嬗变的多重动因和复杂适应模式。研究发现,“下海”的词义演化分为两个主要阶段;其词义演化是对多重环境主体适应的结果,并受多种引申机制的制约。本研究表明复杂动态系统理论可为词义演化研究提供有益补充。

变电站综自改造遥测码值转换及风险预控

针对变电站遥测数据误送影响系统潮流分布和调度监视控制造成发电厂出力异常等问题,结合220 kV某变电站综合自动化改造,分析变电站调度数据传输的网络协议及物理结构,进一步梳理变电站模拟量、测控装置码值、监控后台数据库、远动装置转发表及省级、地市级调度主站系数之间的转换关系,得到变电站综自改造的遥测全过程解析表达式及配置方法,确保变电站改造期间全站一次设备不停电,保障改造进程安全有序和稳步推进。

改进的Sunday模式匹配算法

在基于模式匹配的检测方法中,匹配效率是检测技术的瓶颈,间接影响入侵检测系统的实时性能。该文对4种模式匹配算法进行分析后,选择最优的Sunday算法进行改进。该算法进行匹配前先找到模式串中的特征字符(出现概率最小的字符),进行特征字符与尾字符双重匹配,失败则移动尽可能远的距离。实验结果证明匹配效率比Sunday算法有一定的提高。

词素认知加工——基于形式还是基于语义?

自上世纪七十年代以来,随着视觉词汇加工研究的发展,多词素词的认知加工逐步引起了研究者的广泛关注。继分解论与整体论之争,基于形式的词素激活论与基于语义的词素激活论之争成为当前一大热点研究问题。支持词素形式激活论的理论模型包括前缀剥离模型、交互激活模型和双通道模型。支持词素语义激活论的理论模型是后词汇模型。文章概述并分析了两种观点的理论基础和实证支持,指出该研究领域尚未解决的问题并对未来研究方向进行了展望。

铑四元配合物的生成及其分光光度特性

1.引言铑在SnCl_2的HCl介质中,生成红色三元配合物〔 Cl Cl Rh SnCl_3 SnCl_3 〕-.本文在此基础上研究了Rh(Ⅱ)-SnCl_2-HCl-R(R=R6G)体系.实验证明,在1.2～3.2mol/L HCl介质中,生成紫红色四元配合物,其组成比1∶2,稳定达48h,配合物的吸收峰为560nm,试剂为520nm.采用差示双波长分光光度分析法,可在某些铂族离子的存在下,直接测定Rh含量.

基于复杂网络的微博舆情分析

微博作为迅速崛起的新兴社会媒体，在网络舆情领域日益引起研究者的关注。为了弥补传统网络舆情分析的不足，本文将共词网络分析和复杂网络的思想与方法拓展到微博舆情分析中，并设计了基于网络可视化的微博舆情分析模型。并通过实证分析对其效果进行验证，发现共词网络可有效探测舆论热点，复杂网络在舆论领袖发现中也可取得较好效果。本文为基于微博的网络舆情分析提供了有效的可视化途径，探索和拓展了其研究方法，并提供了有益借鉴。