运用模因,在概括训练中提升学生的言语表达能力

运用模因,进行言语表达的训练,并不仅仅可以运用于读写结合的迁移写作中,运用一定的句式,一定的表达结构还能有助于学生更好地提炼课文内容,在言语训练的过程中更准确地理解、把握课文内容.

“言外之力”的不可译性与大学英语教学

跨文化交际中,人们往往会发现交际双方由于受到不同文化背景、不同社会规范和社会言语规则等因素制约,采用本民族的交际方略,直接把自己语言的话语翻译成目标语,与非本民族的人进行交际,造成对方对言外行为(il-locutionary act)的意义产生误解,丧失“言外之力”(illocutionary force),从而导致语用失误(pragm atic failure)。这种语句可以被翻译而语句的“言外之力”不可被翻译(untranslatab ility)的语用迁移现象在中外跨文化交际中时常发生。本文试图借助于跨文化交际学和信息语言学的原理,并结合大学英语课堂教学实际,对这一现象进行剖析,指出引起这一现象的原因,分析了变“不可译”为“可译”的可能性,并提出了加以避免的方法。

媒体庆典仪式话语的机构语境分析

机构为话语研究提供了一个具体的语言环境,是话语研究的重要方法。机构语境主要包括参与者、交际时空、交际程序、交际主题内容和言语组织规则五个方面。在媒体庆典仪式话语中媒体机构为庆典仪式话语提供了具体的语言语境,本文旨在对媒体庆典仪式话语的机构语境进行简单分析,以期将机构语境理论与媒体庆典仪式话语研究联系起来,完善媒体庆典仪式话语研究方法。

Classification methods of association rules with linguistic terms

A partition of intervals method is adopted in current classification based on associations (CBA), but this method cannot reflect the actual distribution of data and exists the problem of sharp boundary problem. The classification system based on the longest association rules with linguistic terms is discussed, and the shortcoming of this classification system is analyzed. Then, the classification system based on the short association rules with linguistic terms is presented. The example shows that the accuracy of the classification system based on the association rules with linguistic terms is better than two popular classification methods: C4.5 and CBA.

An analysis method of topological relations between Snort rules

It is difficult to knowall the relations between Snort rules. To deal with this problem, the topological relations between Snort rules are classified based on the set theory, and a method for calculating the topological relations between Snort rules is proposed. In the existing methods for analyzing the relations of Snort rules, the relations are usually determined only according to the header information of the Snort rules. Without considering the actions of Snort rules, the proposed method improves upon the existing methods and it can classify and calculate the topological relations between Snort rules according to both headers and options information of Snort rules. In addition, the proposed method is implemented by the functional language Haskell. The experimental results showthat the topological relations between Snort rules can be calculated rapidly and effectively. The proposed method also provides an important basis for conflict detection in the succeeding Snort rules.

叙事性文本“语用”教学内容的选择策略

阅读教学中,引导学生在彰显叙事性文本价值取向的＂语用＂训练点稍作驻足,以言语形式为关注点,潜心涵泳,反复玩味,领悟语言特点,掌握言语规则;并引导迁移运用,提升学生的＂语用＂能力。

Traditional Chinese medicine Master XIONG Jibo’s medication experience in treating arthralgia syndrome through data mining

Objective This study aimed to examine and propagate the medication experience and group formula of traditional Chinese medicine(TCM)Master XIONG Jibo in diagnosing and treat-ing arthralgia syndrome(AS)through data mining.Methods Data of outpatient cases of Professor XIONG Jibo were collected from January 1,2014 to December 31,2018,along with cases recorded in A Real Famous Traditional Chinese Medicine Doctor:XIONG Jibo's Clinical Medical Record 1,which was published in December 2019.The five variables collected from the patients’data were TCM diagnostic information,TCM and western medicine diagnoses,syndrome,treatment,and prescription.A database was established for the collected data with Excel.Using the Python environment,a custom-ized modified natural language processing(NLP)model for the diagnosis and treatment of AS by Professor XIONG Jibo was established to preprocess the data and to analyze the word cloud.Frequency analysis,association rule analysis,cluster analysis,and visual analysis of AS cases were performed based on the Traditional Chinese Medicine Inheritance Computing Platform(V3.0)and RStudio(V4.0.3).Results A total of 610 medical records of Professor XIONG Jibo were collected from the case database.A total of 103 medical records were included after data screening criteria,which comprised 187 times(45 kinds)of prescriptions and 1506 times(125 kinds)of Chinese herbs.The main related meridians were the liver,spleen,and kidney meridians.The properties of Chinese herbs used most were mainly warm,flat,and cold,while the flavors of herbs were mainly bitter,pungent,and sweet.The main patterns of AS included the damp heat,phlegm stasis,and neck arthralgia.The most commonly used herbs for AS were Chuanniuxi(Cyathu-lae Radix),Huangbo(Phellodendri Chinensis Cortex),Cangzhu(Atractylodis Rhizoma),Qinjiao(Gentianae Macrophyllae Radix),Gancao(Glycyrrhizae Radix et Rhizoma),Huangqi(Astragali Radix),and Chuanxiong(Chuanxiong Rhizoma).The most common effect of the herbs was“promoting blood circulation and removing blood stasis”,followed by“supple-menting deficiency(Qi supplementing,blood supplementing,and Yang supplementing)”,and“dispelling wind and dampness”.The data were analyzed with the support≥15%and con-fidence=100%,and after de-duplication,five second-order association rules,39 third-order association rules,39 fourth-order association rules,and two fifth-order association rules were identified.The top-ranking association rules of each were“Cangzhu(Atractylodis Rhizoma)→Huangbo(Phellodendri Chinensis Cortex)”“Cangzhu(Atractylodis Rhizoma)+Chuanniuxi(Cyathulae Radix)→Huangbo(Phellodendri Chinensis Cortex)”“Chuanniuxi(Cyathulae Radix)+Danggui(Angelicae Sinensis Radix)+Gancao(Glycyrrhizae Radix et Rhizoma)→Qinjiao(Gentianae Macrophyllae Radix)”and“Chuanniuxi(Cyathulae Radix)+Danggui(Angelicae Sinensis Radix)+Gancao(Glycyrrhizae Radix et Rhizoma)+Huangbo(Phello-dendri Chinensis Cortex)→Qinjiao(Gentianae Macrophyllae Radix)”,respectively.Five clusters were obtained using cluster analysis of the top 30 herbs.The herbs were mainly dry-ing dampness,supplementing Qi,and promoting blood circulation.The main prescriptions of AS were Ermiao San(二妙散),Gegen Jianghuang San(葛根姜黄散),and Huangqi Chongteng Yin(黄芪虫藤饮).The herbs of core prescription included Cangzhu(Atractylodis Rhizoma),Chuanniuxi(Cyathulae Radix),Gancao(Glycyrrhizae Radix et Rhizoma),Huangbo(Phellodendri Chinensis Cortex),Mugua(Chaenomelis Fructus),Qinjiao(Gentianae Macro-phyllae Radix),Danggui(Angelicae Sinensis Radix),and Yiyiren(Coicis Semen).Conclusion Clearing heat and dampness,relieving collaterals and pain,and invigorating Qi and blood are the most commonly used therapies for the treatment of AS by Professor XIONG Jibo.Additionally,customized NLP model could improve the efficiency of data mining in TCM.

Application of Fuzzy Automata Theory and Knowledge Based Neural Networks for Development of Basic Learning Model

The paper focuses on amalgamation of automata theory and fuzzy language. It uses adaptive knowledge based abstract framework which uses dynamic neural network framework along with fuzzy automata as Models of Learning, combining the two methodologies the authors develop a new framework termed as Fuzzy Automata based Neural Network （FANN）. It highlights conversion of knowledge rule to fuzzy automata thereby generating a framework FANN. FANN consists of composite fuzzy automation divided into ＂Performance Evaluator＂ and ＂Feature Extraction＂ which takes the help of previously stored samples of similar situations. The authors have extended FANN for Urban Traffic Modeling.

THE RELATIONSHIPS OF THREE ELEMENTARY CELLULAR AUTOMATA

Limit language complexity of cellular automata which is first posed by S. Wolfram has become a new branch of cellular automata. In this paper, we obtain two interesting relationships between elementary cellular automata of rules 126, 146（182） and 18, and prove that if the limit language of rule. 18 is not regular, nor are the limit languages of rules 126 and 146（182）.