浅析班固赋学观的矛盾

汉赋作为有汉一代之文学，从产生之初就伴随和背负上了重重矛盾和尴尬，赋家本身更是充满了矛盾和煎熬。斑回作为“汉赋四大家”之一．其围绕赋表现出的矛盾有其深刻的内涵和原因．他的赋学观鲜明而独特。他基于儒家诗学观的矛盾赋学观、自相矛盾的赋体艺术批评以及理论与创作的自我割裂与背叛是他对赋这种特殊文体的认识矛盾重重的具体表现。班固的矛盾主要缘于其身份的复杂性和当时士人特殊的生存状态与心态。     

财政分权背景下的地方政府预算外收入扩张——基于中国省级面板数据的实证研究

本文对财政分权背景下我国地方政府预算外收入扩张的原因进行了理论分析,研究发现:地方政府预算外收入与辖区经济发展水平存在显著的负相关关系;与行政事业单位人员规模存在显著的正相关关系;与预算内财政支出存在显著的负相关关系;同时,在预算内财政支出既定时,预算外收入与转移支付规模存在显著的负相关关系。说明了分权改革后地方政府扩张预算外收入一方面在于弥补其财政支出的缺口;另一方面,由于预算外资金的收和支没有完全脱钩,行政事业单位改革的不彻底性,地方政府追求可自由裁量财政资源最大化的偏好等原因,进一步加剧了预算外收入的扩张。     

抗战时期桂糊社团的演进及其贡献

抗战时期桂林文化城戏剧社团的组织形式及特点，不仅反映了抗战时期戏剧体制和机制的发展特色，而且体现了中国戏剧现代化的历史面貌。桂林文化城的戏剧刊物，在传播戏剧理论、总结戏剧艺术实践经验方面，积极地推动过中国抗战戏剧运动。     

新农村建设中农民主体地位实现的信息化路径

农民是实践主体与价值主体的统一体,其主体地位的实现与否直接关系到社会主义新农村建设的成败。信息化与农民主体地位的实现具有一定的内在联结,实现农民主体地位是信息化在农村的发展目标,信息化在农村的发展要以农民主体地位的实现为基础,两者统一于社会主义新农村建设。在新农村建设中,应该以信息化激发农民的主体意识,提高农民的文化素质,拓宽农民利益表达渠道,改善农村公共服务水平,以此推动农民主体地位的实现。     

Functional analysis of high-content high-throughput imaging data

High-content automated imaging platforms allow the multiplexing of several targets simultaneously to generate multi-parametric single-cell data sets over extended periods of time. Typically, standard simple measures such as mean value of all cells at every time point are calculated to summarize the temporal process, resulting in loss of time dynamics of the single cells. Multiple experiments are performed but observation time points are not necessarily identical, leading to difficulties when integrating summary measures from different experiments. We used functional data analysis to analyze continuous curve data, where the temporal process of a response variable for each single cell can be described using a smooth curve. This allows analyses to be performed on continuous functions, rather than on original discrete data points. Functional regression models were applied to determine common temporal characteristics of a set of single cell curves and random effects were employed in the models to explain variation between experiments. The aim of the multiplexing approach is to simultaneously analyze the effect of a large number of compounds in comparison to control to discriminate between their mode of action. Functional principal component analysis based on T-statistic curves for pairwise comparison to control was used to study time-dependent compound effects.     

中泰外商直接投资实证研究——以泰国金融结构金融效率为分析对象

在"一带一路"倡议的推动下,泰国作为东盟第三大经济体,以其优越的地理优势和战略地位吸引了不少中国投资者进入泰国投资,而其金融结构与金融效率对中国直接投资有着重大影响.文章通过对金融结构、金融效率及中国在泰国直接投资的分析发现,尽管泰国通货膨胀率、泰国工业生产指数对中国在泰国直接投资没有显著影响,但泰国居民消费指数、泰国商业银行存贷比率、泰国生产价格指数、泰国失业率对中国在泰国直接投资会产生负向影响,而中国与泰国之间的进出口额对中国在泰国直接投资可以产生正向影响.因此,鼓励中国投资者向泰国投资,加大两国贸易合作以及开展两国文化交流,是促进中国和泰国经济进一步发展的有效措施,也是实现互助互利,合作共赢的"一带一路"经济合作目标的有效方法.     

流动的困惑:跨国流动中的朝鲜族身份认同多元化

朝鲜族跨国人口流动及其规模在改革开放后的30多年中持续增长.在跌宕起伏、曲折多变的跨国流动中,在韩朝鲜族在不断改变其流动方式和生活环境的同时,实际也在改变着自己的社会关系和群体的归属结构,其归属感、价值观、认同感也在不断被打破和重塑.比起20世纪90年代末朝鲜民族“族性”的淡化与中国人的“国民性”的强化,21世纪前10年的后半期开始,由于韩国对朝鲜族政策环境的不断改善及朝鲜族本身的各种共时性的复杂身份,形成民族认同和国家认同的交错和张力,其身份认同呈现出日趋开放和多元的特点,这在某种程度上对国家认同的建构形成一定的冲击和挑战.     

Diagnostics for quasi-likelihood nonlinear models

Quasi-likelihood nonlinear models (QLNMs) are an extension of generalized linear model and include a widen class of models as special cases. This article investigates some diagnostic methods in QLNMs. An equivalency between a case-deletion model and a mean-shift outlier model in QLNM is established. Two simulation study and a real dataset are used to illustrate the proposed diagnostic methods.     

"三不朽"图赞与"速朽"《阿Q正传》的文脉勾连

张岱晚年所著《於越有明三不朽图赞》,以图像加赞辞的形式,辑录了绍兴有明一代先贤的事迹,汇成人物传记式圣贤画谱.鲁迅家藏该著作珍本,曾于1912、1913年两次补绘插图,补足跋语,周建人抄录赞文,鲁迅又两次购藏此书三册,以表达对绍兴先贤和文学前辈的敬意.本文是学界首次整理鲁迅补录手迹,赏析鲁迅唯一存世手绘圣贤人物画像,基于"三不朽"的儒教内涵,赞文体裁的文学性,鲁迅对张岱文章史著风格的传承,勾连"反圣贤"的白话小说《阿Q正传》,于此个案回溯流转的文脉深处,论证所谓"沉默期"鲁迅钞校古籍与新文学创作之间的对话关系.     

Composite quantile regression for massive datasets

Analysis of massive datasets is challenging owing to limitations of computer primary memory. Composite quantile regression (CQR) is a robust and efficient estimation method. In this paper, we extend CQR to massive datasets and propose a divide-and-conquer CQR method. The basic idea is to split the entire dataset into several blocks, applying the CQR method for data in each block, and finally combining these regression results via weighted average. The proposed approach significantly reduces the required amount of primary memory, and the resulting estimate will be as efficient as if the entire data set is analysed simultaneously. Moreover, to improve the efficiency of CQR, we propose a weighted CQR estimation approach. To achieve sparsity with high-dimensional covariates, we develop a variable selection procedure to select significant parametric components and prove the method possessing the oracle property. Both simulations and data analysis are conducted to illustrate the finite sample performance of the proposed methods.