霍桑及其《红字》之二:“海关”及通奸罪的政治解读

本文是系列论文“霍桑及其《红字》”的第二篇，对小说的“超长”绪论和通奸主题作了一个政治解读。霍桑因党派倾轧被解职，将对美国政治传统的满腔愤怒泼墨于《红字》序言之中。他选择了通奸这个最敏感、最忌讳的题材作为《红字》的主题，对北美的清教传统进行了清算，借古讽今，直抒心中“不快之事”。     

华人写作在日本

中日两国同处东亚文化圈,中日文字之交,源远流长。20世纪下半叶,华人写作开始在日本逐渐形成气候,出现了一些重要作家。60年代到90年代间,陆续从台湾和大陆旅日或留居日本的华人作家创作了不少作品,"想象扶桑"与"记忆华夏"双管齐下,为华人文学提供了异于产自西方文化语境的另一类文本。     

论陶渊明田园诗的精神生态

"精神生态"是精神生命的存在与演化状态.从精神生态的角度讲,陶渊明的田园诗表现为对人生自然境界追求和"穷节"固守;表现为宦游仕子向平民诗人、田野农夫角色的精神转变;表现为对自然、对农民的亲近关爱;表现为胸中块垒爆发升华和对理想社会的向往追求.这种追求、转变、关爱、向往、升华互融共生,从不同的层面创构了陶渊明田园诗的精神位格和完整体系,也构成了令后人追慕不已的田园诗精神生态景观.     

当今文化贸易国际格局特征分析

文化贸易已经成为国际竞争的新焦点.随着世界经济结构的调整,文化贸易的国际地位迅速上升.目前,国际文化贸易格局逐渐显现:文化贸易的地位不断上升;美国文化贸易的优势明显;跨国公司已经成为国际文化贸易的主体;版权交易是国际文化贸易的主要内容;南北文化贸易发展严重不平衡.     

黄帝后裔

慕容鲜卑起初没有自己的文字,记录任何事情都要依靠口口相传。从这样的传述中,他们知道自己为黄帝的后人。明代杨慎在《升庵诗话·紫》篇中说:“慕容氏自     

从和谐社会视角重新解读邓小平的社会主义本质论

社会主义本质与特征是社会主义内在属性与外在形式的关系。从邓小平的社会主义本质论看,社会主义本质实质上反映的是社会主义和谐社会的目标,它侧重于回答什么是社会主义和谐社会;社会主义特征实质上体现的是社会主义的手段,它侧重于回答怎样建设社会主义和谐社会。以和谐社会为视角重新解读邓小平的社会主义本质论,旨在科学界定社会主义和谐社会的本质和特征。     

Adaptive modeling of the human-environment relationship applied to estimation of the population carrying capacity in an earthquake zone

Natural catastrophes such as earthquakes can, in addition to causing loss of life, disrupt the urbanization process through the need for forced population redistribution and the modification of resource and environmental carrying capacity. The population carrying capacity (PCC) of an altered environment following an earthquake is a crucial determinant in the relocation of displaced persons. We use data adaptive methods to model the correlation between the physical environment and human population density in estimating PCC in areas affected by the 2008 Wenchuan earthquake. Comparing actual population distributions with ideal population distributions allows for the identification of villages where population exceeds PCC, or conversely, areas where the environment can support a higher population. Such a comparison can provide the basis for a relocation plan, a critical element of post-catastrophe policy-making.     

A Starting Point for Navigating the World of Daily Fantasy Basketball

Fantasy sports, particularly the daily variety in which new lineups are selected each day, are a rapidly growing industry. The two largest companies in the daily fantasy business, DraftKings and Fanduel, have been valued as high as $2 billion. This research focuses on the development of a complete system for daily fantasy basketball, including both the prediction of player performance and the construction of a team. First, a Bayesian random effects model is used to predict an aggregate measure of daily NBA player performance. The predictions are then used to construct teams under the constraints of the game, typically related to a fictional salary cap and player positions. Permutation based and K-nearest neighbors approaches are compared in terms of the identification of “successful” teams—those who would be competitive more often than not based on historical data. We demonstrate the efficacy of our system by comparing our predictions to those from a well-known analytics website, and by simulating daily competitions over the course of the 2015–2016 season. Our results show an expected profit of approximately $9,000 on an initial $500 investment using the K-nearest neighbors approach, a 36% increase relative to using the permutation-based approach alone. Supplementary materials for this article are available online.     

Climate regime shift detection with a trans‐dimensional,sequential Monte Carlo,variational Bayes method

We present an application study which exemplifies a cutting edge statistical approach for detecting climate regime shifts. The algorithm uses Bayesian computational techniques that make time‐efficient analysis of large volumes of climate data possible. Output includes probabilistic estimates of the number and duration of regimes, the number and probability distribution of hidden states, and the probability of a regime shift in any year of the time series. Analysis of the Pacific Decadal Oscillation (PDO) index is provided as an example. Two states are detected: one is associated with positive values of the PDO and presents lower interannual variability, while the other corresponds to negative values of the PDO and greater variability. We compare this approach with existing alternatives from the literature and highlight the potential for ours to unlock features hidden in climate data.