《简·爱》与圣经

夏洛蒂·勃朗特的小说《简·爱》自19世纪发表以来,一直有着长盛不衰的魅力。文章通过分析小说中平行结构、比喻象征、幻觉的独特表现手法及圣经典故的应用,揭示圣经文体对《简·爱》的影响及其文体方面的艺术魅力。     

试论崔致远汉诗中的中国人物

崔致远是朝鲜统一新罗时期最著名的汉诗人.在汉诗创作中他经常引用中国人物或典故,在有限的文字诗歌当中扩展了诗歌的境界,表达了自己特定的感情.引用的人物和典故,一方面丰富了崔致远汉诗的内容,一方面也体现了崔致远作为一名新罗诗人驾驭汉字创作汉诗的能力.     

古为今用：透视毛泽东的诗词世界

毛泽东在诗词领域里独树一帜,来源于他对中国传统文化的深厚修养。毛泽东不仅在理论原则上提出了古为今用的根本方针,而且在自己的诗词创作中认真地贯彻这一原则:毛泽东诗词中的豪情壮志;对中国旧体诗的继承与创新;用典使事熔铸出新;对中国古代神话传说的内涵改造等。     

稀土氨基酸在混合溶剂中的配位常数测定及热力学常数计算

用ｐＨ法测定了镧和天门冬氨酸在水—二甲基亚砜、钕和甘氨酸在水—二氧六环混合溶剂中的配位常数．测定精度为±０．０１ｐＨ单位．通过加入一定量硝酸钾溶液维持溶液的离子强度（０．１０ｍｏｌ／Ｌ）．测定时采用氮气氛保护并保持温度变化不超过±０．２Ｋ．利用配位常数计算了这些配合物在混合溶液中的△Ｇ°、△Ｈ°和△Ｓ°．     

A flexible multi‐domain test with adaptive weights and its application to clinical trials

The design of a clinical trial is often complicated by the multi‐systemic nature of the disease; a single endpoint often cannot capture the spectrum of potential therapeutic benefits. Multi‐domain outcomes which take into account patient heterogeneity of disease presentation through measurements of multiple symptom/functional domains are an attractive alternative to a single endpoint. A multi‐domain test with adaptive weights is proposed to synthesize the evidence of treatment efficacy over numerous disease domains. The test is a weighted sum of domain‐specific test statistics with weights selected adaptively via a data‐driven algorithm. The null distribution of the test statistic is constructed empirically through resampling and does not require estimation of the covariance structure of domain‐specific test statistics. Simulations show that the proposed test controls the type I error rate, and has increased power over other methods such as the O'Brien and Wei‐Lachin tests in scenarios reflective of clinical trial settings. Data from a clinical trial in a rare lysosomal storage disorder were used to illustrate the properties of the proposed test. As a strategy of combining marginal test statistics, the proposed test is flexible and readily applicable to a variety of clinical trial scenarios.     

Gap-based inverse sampling

We present a new inverse sampling design for surveys of rare events, Gap-Based Inverse Sampling. In the design, sampling stops if after a predetermined interval, or gap, no new rare events are found. The length of the gap that follows after finding a rare event is used as a way of limiting sample effort. We present stopping rules using decisions based on the gap length, the total number of rare events found, and a fixed upper limit of survey effort. We illustrate the use of the design with stratified sampling of two biological populations. The design uses the intuitive behavior of a field biologist in stratified sampling, where if in a stratum nothing is found after a long search, the field surveyor would like to consider the stratum is empty and stop searching. Our design has appeal for surveying rare events (for example, a rare species) with stratified sampling where there are likely to be some completely empty strata.     

鄂北高贵山珍稀树木及其保护对策

统计了鄂北高贵山珍用然濒危树木21种,其中 ,有国家I级保护植物1种,I保护植物60种,分布有青檀群落4hm2,香果树群落0．5hm2和小片的闽楠群,本文在对各种珍稀树木的生态,分布,保护价值进行描述的基础上,提出了保护措施。     

宋代六言绝句的绘画美和建筑美

六言绝句在节奏、声律方面缺乏音乐美,因此作为一种补偿,写作六言绝句的诗人便在形式上强化其绘画美和建筑美,尤其是宋代诗人更自觉地意识到这种“有意味的形式”的审美特征,即“清绝可画”和“事偶尤精”。六言绝句的绘画美来自颜色字、叠字（包括联绵字）、方位词、意象并置等具有绘画性质的词汇和构词方式。与五七言绝句相比,六言绝句更适合共时性的并列呈现、静态描绘,宜于传达粗略的总体印象,刻划客观的画面。六言绝句的建筑美来自精巧用典和工整对仗的结合,尤其是“多重工对”,在语言上表现为形、音、义和语法、修辞等复杂因素的均衡对称。     

Revisit of a randomized response model for estimating a rare sensitive attribute under probability proportional to size sampling using Poisson probability distribution

The present article deals with the estimation of mean number of individuals possess a rare sensitive attribute using Poisson probability distribution, when the population consists of clusters. Unbiased estimation procedures for the mean number of individuals have been suggested and their properties are discussed when the parameter of a rare non-sensitive unrelated attribute is assumed to be known as well as unknown. The suggested estimation procedure is further discussed for situation of stratified cluster population. Empirical studies are carried out to show the dominance of proposed method and resultant estimators over a well-known contemporary estimator.     

F-tests with a rare pathology

ANOVA is routinely used to compare pathologies. Nevertheless, in many situations, the sample dimensions may not be known when planning the study. This is specially relevant when one of the pathologies is rare. Thus, the sample size for that pathology or for all pathologies must be considered as random. Sample selection for the non-rare pathologies may be carried out to increase the balance of the model. This leads to F-tests with random non-centrality parameters and random degrees of freedom for the errors. The distribution of such tests statistics is obtained.