以《叶文有话要说》为例分析广播节目主持人的诤友型亲切感

近年来,以《叶文有话要说》为代表的广播情感类互动节目获得了很多关注。节目中主持人态度立场鲜明、语言犀利直接、风格彪悍霸气,一贯被奉为主持人必备素质的"亲切感"遭到了颠覆式的热议。在该类节目获得巨大关注和热情追捧的同时,质疑和思辨的声音也层出不穷。为此,本文以《叶文有话要说》为例,分析广播节目主持人的诤友型亲切感,提出了诤友型亲切感可以直言不讳,但不能出口伤人;需要思维敏捷,但不必语出惊人;可以侠骨柔肠,但不能咄咄逼人的观点。广播节目主持人,应少一些套路,多一些真诚;作为诤友,应少一些讽刺,多一些关怀。

侠肝义胆的“叶文姐”——记黑龙江人民广播电台主持人叶文

叶文，原籍黑龙江省鹤岗市，1999年毕业于黑龙江大学历史系，2000年上半年就职于黑龙江人民广播电台新闻部（记者），2000年调到黑龙江人民广播电台文艺部开始主持人生涯，同年通过考试获得全国播音主持系统专业普通话一级甲等测试。

江南文化的植入与超越——叶文玲创作浅论

叶文玲的创作与文化理想是借助"江南文化"建构的,江南文化作为一种话语意义链贯穿叶文玲创作始终。从江南文化视角审视叶文玲的创作,以题材选择、主题内涵和文学资源为载体,可以发现江南文化对叶文玲创作的影响以及叶文玲创作文本中对江南文化的表现与超越。

认同和超越——叶文玲创作的文化阐释

江南文化对叶文玲的创作有很大的归约性,潜性的文化基因影响着其创作的主题指向与艺术形式。在创作思维、题材选择、文学资源的层面上,作家是以编码者的姿态出现的,价值观念是认同的态度。但在对诸如"理想与入世、传统与当代、女性意识与男权观念"等命题上,却又充斥着充满矛盾的叙述,这表征着作家又是以一个解码者的姿态出现在江南文化的语境中,价值观念是超越的态度。在认同与超越中,叶文玲实践着自己的审美理想。

宽叶文殊兰的种子繁殖

宽叶文殊兰一般以分蘖繁殖为主，但每年从母株根部长出的蘖芽极少，故在新株繁殖上受到一定限制。为提高繁殖数量，笔者采用开花后人工授粉获得种子再播种育苗的办法，取得了一定的预想效果。

Research on Geographical Indications and Cultural Heritage of Famous Tea in Hubei

In the study, analysis was made on present situation and development measures of geographical indications and cultural heritage protection of famous teas in Hubei Province. In addition, 8 related suggestions were proposed as well.

Retrieval of canopy biophysical variables from remote sensing data using contextual information

In order to improve the accuracy of biophysical parameters retrieved from remotely sensing data, a new algorithm was presented by using spatial contextual to estimate canopy variables from high-resolution remote sensing images. The developed algorithm was used for inversion of leaf area index (LAI) from Enhanced Thematic Mapper Plus (ETM+) data by combining with optimization method to minimize cost functions. The results show that the distribution of LAI is spatially consistent with the false composition imagery from ETM+ and the accuracy of LAI is significantly improved over the results retrieved by the conventional pixelwise retrieval methods, demonstrating that this method can be reliably used to integrate spatial contextual information for inverting LAI from high-resolution remote sensing images.

Relationship between tea dust exposure and lung function: a systemic literature review

Background:During the production of tea,tea dust has been viewed as a risk factor that may cause the suffering of changes of lung function and respiratory symptoms.Objective:To review whether the occupational exposure to tea dust may lead to the changes of lung function and respiratory symptoms.Methods:We searched the literatures in March 2012 in the databases of Medline,EMBase,Web of Science,Wan-Fang Database and CNKI.The search condition is"(herb OR tea)AND(lung function OR ventilatory function OR pulmonary function OR spirometric measurement)".The paper should be pubished in Enghish or Chinese,with internal or external controls.Results:Totally 17 papers were included.Both acute and chronic changes of lung function were referred.In addition,the respiratory symptoms such as cough,tightness and etc.were also reported and discussed.Conclusion:We concluded that the exposure of tea dust may lead to the changes of lung function and respiratory symptoms.

Application of Laboratory Information Management System in Tea Pesticide Analysis Laboratory

The aim of this paper is to establish LIMS （laboratory information management system） for the tea pesticides analysis accredited laboratories in Taiwan. The LIMS could help Tungting station and Nantou pesticide inspection station to computerize the pesticide analysis data. It has completed eight management subsystems so far, including the basic information management subsystem, thesample processing management subsystem, the analysis data management subsystem, the analysis report management subsystem, the inspection standard management subsystem, the instrument connection management subsystem, the laboratory personnel training management subsystem and the laboratory quality document management subsystem. Using the automatic tea pesticide analysis information management system could help laboratory operations to reduce the amount of excess paperwork and human resource, which could ensure the analysis data quality is traceable and reliable.

Automatically Constructing an Effective Domain Ontology for Document Classification

An effective domain ontology automatically constructed is proposed in this paper. The main concept is using the Formal Concept Analysis to automatically establish domain ontology. Finally, the ontology is acted as the base for the Naive Bayes classifier to approve the effectiveness of the domain ontology for document classification. The 1752 documents divided into 10 categories are used to assess the effectiveness of the ontology, where 1252 and 500 documents are the training and testing documents, respectively. The Fl-measure is as the assessment criteria and the following three results are obtained. The average recall of Naive Bayes classifier is 0.94. Therefore, in recall, the performance of Naive Bayes classifier is excellent based on the automatically constructed ontology. The average precision of Naive Bayes classifier is 0.81. Therefore, in precision, the performance of Naive Bayes classifier is gored based on the automatically constructed ontology. The average Fl-measure for 10 categories by Naive Bayes classifier is 0.86. Therefore, the performance of Naive Bayes classifier is effective based on the automatically constructed ontology in the point of F 1-measure. Thus, the domain ontology automatically constructed could indeed be acted as the document categories to reach the effectiveness for document classification.

Parallel naive Bayes algorithm for large-scale Chinese text classification based on spark

The sharp increase of the amount of Internet Chinese text data has significantly prolonged the processing time of classification on these data.In order to solve this problem,this paper proposes and implements a parallel naive Bayes algorithm(PNBA)for Chinese text classification based on Spark,a parallel memory computing platform for big data.This algorithm has implemented parallel operation throughout the entire training and prediction process of naive Bayes classifier mainly by adopting the programming model of resilient distributed datasets(RDD).For comparison,a PNBA based on Hadoop is also implemented.The test results show that in the same computing environment and for the same text sets,the Spark PNBA is obviously superior to the Hadoop PNBA in terms of key indicators such as speedup ratio and scalability.Therefore,Spark-based parallel algorithms can better meet the requirement of large-scale Chinese text data mining.

Astronomical forcing of sedimentary cycles of Late Eocene Liushagang Formation in the Bailian Sag, Fushan Depression, Beibuwan Basin, South China Sea

Sediments in the Liushagang Formation of Late Eocene form a group of key hydrocarbon play fairways in the Beibuwan Basin,South China Sea.As an important reservoir-forming combination,the Liushagang Formation consists of deltaic siliciclastic and show clear sedimentary cyclicity.According to paleontology research and stratigraphic correlation,the boundary between Liushagang Formation(Els)and Weizhou Formation(Ewz)is regarded as the Eocene-Oligocene boundary.The oxygen isotope dating for well cores from the top of the first Member of Liushagang Formation(Els1)and the bottom of the third Member of Weizhou Formation(Ewz3)give an isochron age of 35.2 Ma.Here,we use GR logging data as a paleoenvironmental proxy to conduct a detailed cyclostratigraphic study of the Els1 in the Bailian Sag,Fushan Depression.Power spectra,evolutionary fast Fourier transformation and wavelet analysis all reveal significant sedimentary cycles in Els1.The ratios of cycle wavelengths in these stratigraphic units are 21?5?2.8?1.2?1,and are interpreted as Milankovitch cycles of 400 ka and 96 ka eccentricity,52 ka obliquity,22ka and 19 ka precession cycles,respectively.An astronomical time scale is established by tuning filtered 96 ka eccentricity cycles to a target curve of Well L2 in the Bailian Sag.Based on regional stratigraphic framework,combined with seismic,cores and logging data,the HST of the first member of the Liushagang Formation(Els1)delta in Well L2 was divided into six parasequence sets named Ps1-Ps6.According to the spectrum analysis by Simple Lomb periodogram from PAST program packages,the sediment accumulation rate of each parasequence sets first increased and then decreased as time went by.The sediment accumulation rate of Ps4 reached the maximum(0.127 m/ka)during the most prosperous period of delta prograding.Finally,the duration of each period of parasequence sets and more accurate geological age were calculated on the basis of sediment accumulation rate.The ages of each depth are precisely estimated and provide new constraints on the Late Eocene.

Bayesian multi-model projections of extreme hydroclimatic events under RCPs scenarios

A Bayesian multi-model inference framework was used to assess the changes in the occurrence of extreme hydroclimatic events in four major river basins in China （i.e., Liaohe River Basin, Yellow River Basin, Yangtze River Basin, and Pearl River Basin） under RCP2.6, RCP4.5, and RCP8.5 scenarios using multiple global climate model projections from the IPCC Fifth Assessment Report. The results projected more summer days and fewer frost days in 2006-2099. The ensemble prediction shows the Pearl River Basin is projected to experience more summer days than other basins with the increasing trend of 16.3, 38.0, and 73.0 d per 100 years for RCP2.6, RCP4.5 and RCP8.5, respectively. Liaohe River Basin and Yellow River Basin are forecasted to become wetter and warmer with the co-occurrence of increases in summer days and wet days. Very heavy precipitation days （R20, daily precipitation ≥20 mm） are projected to increase in all basins. The R20 in the Yangtze River Basin are projected to have the highest change rate in 2006-2099 of 1.8, 2.5, and 3.8 d per 100 years for RCP2.6, RCP4.5 and RCP8.5, respectively.

Permutation-substitution image encryption scheme based on a modified chaotic map in transform domain

A new chaotic image encryption scheme based on permutation and substitution in the Fourier domain is presented.Fractional Fourier Transform(FRFT)is used before the encryption scheme to get a large degree of randomization.The permutation is achieved by Baker map and the substitution by a key-related-to-plain-image algorithm based on the modified Logistic map.Modification of the Logistic map is developed to increase the space of the encryption key,and hence increase the security.The key of the encryption algorithm dependents on the plain image,and thus,the cipher image is sensitive to both the initial key and the plain image to resist known-plaintext and chosen plaintext attacks.The key space is large and hence the algorithm can effectively resist brute-force attacks.The proposed scheme is examined using different performance evaluation metrics and the results prove that the proposed scheme is highly secure,and it can effectively resist different attacks.

Study on Dishes with Longjing Tea Leaves as Spice

As one of the top ten Chinese teas, Longjing Green Tea is famous for its green tea leaves, sweet taste, pleasant aroma and beautiful shape. Besides of using as drinks, Longjing tea leaves can be applied as spice in Chinese cuisine for its particular taste and function. Under the background of pursuing healthy cuisine, the development of organic Longjing tea and advocate of Chinese tea culture have great economic and culture significance.

Context-aware end-to-end QoS diagnosis and guarantee based on Bayesian network

A systematic approach for end-to-end QoS qualitative diagnosis and quantitative guarantee is proposed to support quality of service （QoS） management on current Internet. An automatic unwatched discretization algorithm for discretizing continuous numeric-values is brought forth to reshape these QoS metrics and contexts into their discrete forms. For QoS qualitative diagnosis, causal relationships between a QoS metric and its contexts are exploited with K2 Bayesian network （BN） structure learning by treating QoS metrics and contexts as BN nodes. A QoS metric node is qualitatively diagnosed to be causally related to its parent context nodes. To guarantee QoS quantitatively, those causal relationships are next modeled quantitatively by BN parameter learning. Then, BN inference can be carried out on the BN. Finally, the QoS metric is guaranteed to a specific value with certain probability by tuning its causal contexts to suitable values suggested by the BN inference. Our approach is validated to be sound and effective by simulations on a peer-to-peer （P2P） network.

LSA Based Classification of Advertising Spam Reviews

In this study, methods to classify advertising reviews from shopping mall reviews are suggested. Advertising reviews are mostly written by companies and contain advertising contents. There are a few studies regarding the classification of opinion spam documents, which is very rare in foreign studies; however, there are no studies that classify advertising reviews from Korean reviews. In this study, the Naive Bayes Classifier was used to classify review documents and the POS （Part-of-Speech）-Tagging and bigram methods were used to extract specific words. The frequency calculation methods for the probability value of specific words were： （1） The general number of appearances of words （2） the frequency calculation of specific words through the suggested Latent Semantic Analysis （LSA）, and by recalculating the result from （1） in （2）, the performances of each method were compared. As a result, the methods from （2） showed 88.43% accuracy which is 8.89% higher than 79.54% which was the previous result from using the POS-Tagging ＋ Bigram method. Therefore, it was proved that the method suggested in this study is effective at classifying or extracting advertising reviews from Korean product review documents.

叩问灵台

本栏本期再次把目光转向浙江,推出上个世纪八十年代以来活跃于文坛,作为新时期文学代表作家之一的女作家叶文玲。如果从1958年6月在《东海》上发表处女作短篇小说《我和雷梅》算起,叶文玲的“创龄”已近半个世纪。半个世纪以来,尤其是上个世纪八十年代以来,她活跃于文坛,涉足于中短篇小说、长篇小说、散文、传记文学、报告文学等各种门类的创作,出版了四十五种作品,字数逾千万字,称得上是文学界的劳动模范。而从获全国短篇小说奖的《心香》开始,到她新近奉献给读者的长篇小说新作《三生爱》,她一直在发现、开掘与追求美,可以这么说,对美的发现与赞美,成了叶文玲小说创作的基调。叶文玲还是一位热心而优秀的社会活动家。从上个世纪八十年代起,她连续当了好几届的全国政协委员和一届全国人大代表,这为她的社会活动创造了一个可以施展身手的平台。二十余年来,她参政议政,参加各种社会活动,做出了不可磨灭的贡献。而作为一个有社会责任感的作家,这些社会活动又促进了她的文学创作。这里,约请她的家人和文友一起来聊聊她的创作和创作背后的作为贤妻良母和社会活动家的种种,想来对读者读她的作品将会有所裨益。

《四書評》《四書眼》的真僞問題及思想淵源

盛於斯、周亮工主張《四書評》《四書眼》爲葉晝託名李贄所作僞書,是由誤讀《四書眼》序文而起,而所述錯訛較多,結論也並不可靠。核查《四書眼》明萬曆原刊本,不但從未托題李贄之名,而且徑署葉晝師徒之名,後世轉引亦無將其視爲李贄之作品者。部分學者誤信盛、周言論,乃至摘取《四書評》中個别語句,指其與李贄生平思想不合,以此視爲葉晝造僞的"鐵證"。筆者在考察相關文獻之後,發現李贄、楊起元、葉晝三人師承關係密切,學術脈絡相似,皆受陽明心學影響頗深,又均出入於二氏,本有頗多相合之處,上述論證邏輯並不具有可行性。

Analysis of plant remains at the Neolithic Yangjia Site, Wuxi City, Jiangsu Province (East China)

According to archaeological investigation and preliminary excavation, the Yangjia Site, located in the northern Taihu Lake region, at Wuxi City, Jiangsu Province, is a Neolithic archaeological site dominated by cultural remains attributed to the late Majiabang Culture(6270–5920 cal. a BP). Here a systematic archaeobotanical study was conducted to investigate vegetation landscape, environmental characteristics and rice agriculture in the prehistoric northern Taihu Lake area. The abundance, frequency and standard density of charred rice were the highest of all of the remains of the seed plants unearthed. In addition, a variety of wetland weeds, such as Haloragaceae, Cyperaceae, Carex sp., and Oxalis corniculata, were found. Pollen and phytoliths recorded that the evergreen-deciduous broadleaf mixed forest(represented by Quercus and Castanopsis) tends to decrease, while Poaceae was the most significant of the terrestrial herbs, water area expanded and water activities strengthened, indicating generally warm and humid conditions at the Yangjia Site during the late Majiabang Culture. All indicators of pollen, phytolith and macro-plant remains suggest that wild rice should be once distributed at or around the site before human occupation, after which rice agriculture progressed rapidly during the late Majiabang Culture.