Department of Neurosurgery,Seoul National University College of Medicine: 50th Anniversary (1957–2007) by History Compilation Committee (Chair: Young Seob Chung)

The public opinion and the scientific community incorrectly believe that the English term “lunatic” was originally related only to insanity, but it also referred to epileptic people. The aim of this article is to clarify the original meaning of the English word “lunatic” by analyzing the evolution of the relationship between psychiatric and neurological diseases and by pointing out the influence of the moon in the history of medicine, in popular traditions, and in English literature. The article also contains a detailed and accurate review of the modern scientific literature on the relationship between moon and epilepsy/psychiatric disorders.     

The Effect on Attribute Prediction of Location Uncertainty in Spatial Data

A datum is considered spatial if it contains location information. Typically, there is also attribute information, whose distribution depends on its location. Thus, error in location information can lead to error in attribute information, which is reflected ultimately in the inference drawn from the data. We propose a statistical model for incorporating location error into spatial data analysis. We investigate the effect of location error on the spatial lag, the covariance function, and optimal spatial linear prediction (that is, kriging). We show that the form of kriging after adjusting for location error is the same as that of kriging without adjusting for location error. However, location error changes entries in the matrix of explanatory variables, the matrix of co‐variances between the sample sites, and the vector of covariances between the sample sites and the prediction location. We investigate, through simulation, the effect that varying trend, measurement error, location error, range of spatial dependence, sample size, and prediction location have on kriging after and without adjusting for location error. When the location error is large, kriging after adjusting for location error performs markedly better than kriging without adjusting for location error, in terms of both the prediction bias and the mean squared prediction error.     

False Antitheses? Marxism,Nature and Actor‐Networks

This paper stages an encounter between two critical approaches that have been central to the recent "greening" of left geography. The theoretical and normative claims of the first approach, eco-Marxism, have been subject to sometimes biting criticism from advocates of the second approach, actor-network theory (ANT). Taking a nonorthodox Marxist perspective, I argue that the ANT critique of political economy approaches to nature is overstated and only partly defensible. By distinguishing between different modalities of eco-Marxism and ANT, I show the seeming standoff between the two approaches to society-nature relations to be false. Splitting the difference between a weak version of ANT and a relational version of eco-Marxism yields a political economy approach to socionature that arguably avoids the excesses of strong modalities of ANT and dualistic forms of eco-Marxism. By seeking to bridge the apparent gap between Marxism and ANT, the paper avoids reducing either approach to society-nature relations to one fixed position or theoretical-normative "essence". Instead, a particular modality of ANT is used to address the weaknesses of certain extant versions of eco-Marxism. The resulting synthesis offers conceptual tools with which Marxists can still critique a pervasive mode of human relationality to nature–namely, capitalist–while multiplying the actors and complicating the politics involved in approaching the society-environment nexus.     

BAYESIAN SMOOTHING OF RATES IN SMALL GEOGRAPHIC AREAS*

ABSTRACT. An enormous amount of socio-economic and public-health data come as rates (e.g., unemployment, per capita income, mortality rates, census undercount) reported in small geographic areas. The U.S. Census Bureau regularly publishes data series at the county level, although the county is often a small area chosen for administrative convenience rather than by design. The reported rates can be regarded as a noisy representation of the true geographic distribution of rates over the small areas. This article presents a Bayesian statistical method of smoothing raw rates. In order to illustrate the important features of the method, a data set on undercoverage in the 1980 U.S. Census will be used.     

Crisis,Continuity and Change: Neoliberalism,the Left and the Future of Capitalism

Abstract: This essay's point of departure is the coincident economic and environmental “crises” of our time. I locate both in the dynamics of capital accumulation on a world‐scale, drawing on the ideas of Marx, Karl Polanyi and James O’Connor. I ask whether the recent profusion of “crisis talk” in the public domain presents an opportunity for progressive new ideas to take hold now that “neoliberalism” has seemingly been de‐legitimated. My answer is that a “post‐neoliberal” future is probably a long way off. I make my case in two stages and at two geographical scales. First, I examine the British social formation as currently constituted and explain why even a leading neoliberal state is failing to reform its ways. Second, I then scale‐up from the domestic level to international affairs. I examine cross‐border emissions trading—arguably the policy tool for mitigating the very real prospects of significant climate change this century. The overall conclusion is this: even though the “first” and “second” contradictions of capital have manifested themselves together and at a global level, there are currently few prospects for systemic reform (never mind revolution) led by a new, twenty‐first century “red‐green” Left.