A modified false discovery rate multiple-comparisons procedure for discrete data, applied to human immunodeficiency virus genetics

Summary.  To help to design vaccines for acquired immune deficiency syndrome that protect broadly against many genetic variants of the human immunodeficiency virus, the mutation rates at 118 positions in HIV amino-acid sequences of subtype C versus those of subtype B were compared. The false discovery rate (FDR) multiple-comparisons procedure can be used to determine statistical significance. When the test statistics have discrete distributions, the FDR procedure can be made more powerful by a simple modification. The paper develops a modified FDR procedure for discrete data and applies it to the human immunodeficiency virus data. The new procedure detects 15 positions with significantly different mutation rates compared with 11 that are detected by the original FDR method. Simulations delineate conditions under which the modified FDR procedure confers large gains in power over the original technique. In general FDR adjustment methods can be improved for discrete data by incorporating the modification proposed.     

后发展地区“贫困文化”话语：在学界与公众之间

以文献分析和扎根编码的方法,分析不同主体对“贫困文化”的理解,发现：部分研究运用“贫困文化”理论以解释经济或教育欠发达地区的文化表征,使得西方话语构建的“贫困文化”在国内学界话语中发生变形。“贫困文化”逐渐被构建成贫困地区文化的集体表征,即“贫困文化”的集体表征是具有区域性的,倾向于认同经济后发展地区带有这种文化特征;公众对“贫困文化”的理解则倾向于个体表征,即“贫困文化”的个体表征主要集中在个人特征,认为“贫困文化”是个体主观意识不强或能力不足所致。同时,对“贫困文化”的认知在学界与公众之间出现趋同也说明,带有发展主义阶序关系的价值评判方式,已逐渐通过话语权力的影响,将“贫困文化”作为区域性的文化表征推向公众认知领域。这使后发展地区的人们成为“贫困文化”的指称对象,难以真正摆脱思想意识上的贫困。因此,学界话语有必要在了解不同地区文化传统的基础上,进一步厘清丰富“贫困文化”的基本内涵和表征,从而构建后发展地区经济与文化协调发展的良性关系。     

＂贫困＂的多模态表征

本文以中介话语分析、多模态社会符号学为理论框架从语言、图像两方面探讨"贫困"现象的话语表征方式。基于BNC语料库揭示"贫困"的词汇语法模式,在语篇层面以媒体对贫困弱势群体表征为例分析其语篇语法,并探讨新闻报道中与"贫困"相关的视觉语法。"贫困"不仅仅表征为穷者匮乏的物质存在,更表征所映现的符号状态和人类精神。     

Corporate collective action and the market cycle of the cloth industry in Nieuwkerke,Flanders, 1300–1600

This article addresses the connections between corporate collective action and economic development in the pre-industrial Low Countries. It focuses on a micro-historic case study: the textile industry of the village of Nieuwkerke in the county of Flanders. This rural cloth centre witnessed an exceptional industrial expansion between the fourteenth and sixteenth centuries. Following the recent proposition by Bas van Bavel that market economies follow a fixed pattern of development, the chronology of the evolution of Nieuwkerke’s cloth industry can be discussed in terms of three phases. This article argues that the first phase of development (1358–c.1500) was characterized by limited success because of pressure from the city of Ypres. The second phase (c.1500–c.1550) was marked by an industrial boom, predicated upon successful corporate collective action intertwined with the perception of social equality among the village’s cloth entrepreneurs. The third and final phase (from c.1550) was one of stagnation and decline, caused by the breaking down of the collective and concomitant social polarization. The case study thereby closely conforms to van Bavel’s theory about market cycles. Yet, the correlation between economic decline and social polarization should in this case be understood in terms of changing perceptions of inequality, rather than increasingly unequal opportunities.     

低压欠平衡钻井—勘探钻井技术发展新动向(待续)

从世界石油经济和供求前景分析出发,得到了石油工业上游领域必须重视难拿储量、重视改造挖潜、重视增产增效、重视提高探井水平的结论。从这些必须要重视的技术领域出发,分析了地质特点、储层特点和经济技术特点,指出了完成这些艰巨任务必须要采用低压欠平衡钻井技术。最后介绍了国外低压欠平衡钻井技术发展的现状及存在问题,结合西南石油学院近7年的储备研究成果,介绍了我国低压欠平衡钻井技术发展的重点和方向。     

Bootstrapping Periodic State-Space Models

This article is concerned with how the bootstrap can be applied to study conditional forecast error distributions and construct prediction regions for future observations in periodic time-varying state-space models. We derive, first, an algorithm for assessing the precision of quasi-maximum likelihood estimates of the parameters. As a result, the derived algorithm is exploited for numerically evaluating the conditional forecast accuracy of a periodic time series model expressed in state space form. We propose a method which requires the backward, or reverse-time, representation of the model for assessing conditional forecast errors. Finally, the small sample properties of the proposed procedures will be investigated by some simulation studies. Furthermore, we illustrate the results by applying the proposed method to a real time series.     

Beyond the heartlands: deindustrialization,naturalization and the meaning of an ‘industrial’ tradition

Deindustrialization is a complex and multifaceted series of processes and transitions, reflecting the equally complicated web of social relationships and interdependencies that constitute(d) an industrial society. Contemporary scholars have looked beyond just the economic impact of industrial loss, to the cultural, temporal and spatial legacies and impacts wrought by the mass closures of the 1980s, as well as the continuing presence of an industrial identity in struggles over representation and regeneration. However, deindustrialization has a history that precedes the volatility and culmination of that period, and has impacted upon a more geographically diverse range of former industrial locations than are commonly represented. The narratives that surround some sites are complicated by their displacement in time, place and discourse; they lack the political capital of an ‘industrial’ identity through this disassociation. In this article I aim to go beyond what we might consider the industrial ‘heartlands’ of the UK to a place that has felt the impact of deindustrialization, but which falls outside of the usual representations of the UK's industrial past. I explore how the industrial identity and memory of a place can be naturalized and selectively reworked for the needs of the hour, the very meaning of ‘industrial’ altered in the process. I argue that for sites unable to access or utilize the imagery of modern, heavy industry for community or promotional aims, deindustrialization becomes a process of rewriting an historic identity – one that sheds new light on industrial loss in diverse situations, and at an ever‐increasing distance from closure.     

New innovational outlier unit root test with a break at an unknown time

The Perron test which is based on a Dickey–Fuller test regression is a commonly employed approach to test for a unit root in the presence of a structural break of unknown timing. In the case of an innovational outlier (IO), the Perron test tends to exhibit spurious rejections in finite samples when the break occurs under the null hypothesis. In the present paper, a new Perron-type IO unit root test is developed. It is shown in Monte Carlo experiments that the new test does not over-reject the null hypothesis. Even for the case of a level and slope break for trending data, the empirical size is near its nominal level. The test distribution equals the case of a known break date. Furthermore, the test is able to identify the true break date very accurately even for small breaks. As an application serves the Nelson–Plosser data set.     

The Reception Given to Sadhu Sundar Singh,the Itinerant Indian Christian ‘Mystic’, in Interwar Britain

In 1920 and 1922, an Indian Christian called Sadhu Sundar Singh toured Britain. Widely renowned in the global Christian community in the interwar period, Singh was notorious for certain stories of miracles, for his appearance and for the ways in which he epitomised Eastern Christianity. Using Singh’s correspondence and a range of newspapers, this article argues that British audiences were attracted to Singh because of his appearance and ethnicity and because he conformed to stereotypes of essentialised Indian spirituality despite his Christian faith. It argues that the reception to Singh in Britain must be understood in relation to the perpetuation of Orientalist understandings of Indians and Indian religions in the interwar period.