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Power and Position in the World City System
Globalization has renewed interest in the place and role of cities in the international system. Recent literature proposes that the fate of cities (and their residents) has become increasingly tied to their position in international flows of investment and trade. Data on the branch locations of the worldâs 500 largest multinational enterprises in 2000 are subjected to two broad types of network analytic techniques in order to analyze the âworld city system.â First, 3,692 cities are analyzed in terms of three measures of point centrality. Second, blockmodeling techniques are employed to generalize further about the positions and roles played by cities in the system. These techniques are used to trace out the structure of the world city system, locate cities in the context of a global urban hierarchy, and explore the degree to which this diverges from a simple oneâtoâone matching of cities onto nationâstates in the world system.Sociolog
Voices and Thoughts in Psychosis: An Introduction
This is the final version. Available from Springer Verlag via the DOI in this record.In this introduction we present the orthodox account of auditory verbal hallucinations (AVHs), a number of worries for this account, and some potential responses open to its proponents. With some problems still remaining, we then introduce the problems presented by the phenomenon of thought insertion, in particular the question of how different it is supposed to be from AVHs. We then mention two ways in which theorists have adopted different approaches to voices and thoughts in psychosis, and then present the motivation and composition of this special issue.The two authors of this introduction were supported by a Wellcome Trust Strategic Award (WT098455MA)
Visualisation Tools for Multi-Perspective, Cross-Sector, Long-Term Infrastructure Performance Evaluation
Across different infrastructure sectors there are systems that help to monitor the current and near-future operation
and performance of a particular system. Whilst Supervisory Control and Data Acquisition (SCADA) systems are critical
to maintaining acceptable levels of functionality, they do not provide insights over the longer timescales across which
strategic investment decisions play out. To understand how individual or multiple, interdependent, infrastructure
sectors perform over longer timescales, capacity/demand modelling is required. However, the outputs of such
models are often a complex high-dimensionality result-set, and this complexity is further compounded when crosssector
evaluation is required. To maximise utility of such models, tools are required that can process and present
key outputs. In this paper we describe the development of prototype tools for infrastructure performance evaluation
in relation to different strategic decisions and the complex outputs generated from capacity and demand models of
five infrastructure sectors (energy, water, waste water, solid waste, transport) investigated within the UK Infrastructure
Transitions Research Consortium (ITRC). By constructing tools that expose various dimensions of the model outputs,
a user is able to take greater control over the knowledge discovery process
Changing Patterns of Income Inequality in U.S. Counties, 1970â2000
The upswing in economic inequality that has affected a number of advanced industrial societies in the late 20th century has been particularly conspicuous in the United States. The authors explore its causes using data on the distribution of family income in 3,098 U.S. counties in 1970, 1980, 1990, and 2000. The authors build a model of within-county income inequality that assumes that distribution processes involving labor market and sociodemographic variables operate primarily at the county level and those involving the political and institutional context operate primarily at the state level. Multilevel methods are used to distinguish county cross-sectional, state cross-sectional, and longitudinal effects on inequality. The authors find that, when features of the state-level institutional and political context are associated with inequality, these effects are larger longitudinally than cross-sectionally. A range of other factors, including economic development, labor force changes, shifts in the racial/ethnic and gender composition of the labor force, educational expansion, and urbanization are found to have comparatively large effects, both longitudinally and cross-sectionally
Fragility Curves for Assessing the Resilience of Electricity Networks Constructed from an Extensive Fault Database
Robust infrastructure networks are vital to ensure community resilience; their failure leads to severe societal disruption and they have important postdisaster functions. However, as these networks consist of interconnected, but geographically-distributed, components, system resilience is difficult to assess. In this paper the authors propose the use of an extension to the catastrophe (CAT) risk modeling approach, which is primarily used to perform risk assessments of independent assets, to be adopted for these interdependent systems. To help to achieve this, fragility curves, a crucial element of CAT models, are developed for overhead electrical lines using an empirical approach to ascribe likely failures due to wind storm hazard. To generate empirical fragility curves for electrical overhead lines, a dataset of over 12,000 electrical failures is coupled to a European reanalysis (ERA) wind storm model, ERA-Interim. The authors consider how the spatial resolution of the electrical fault data affects these curves, generating a fragility curve with low resolution fault data with a R2R2 value of 0.9271 and improving this to a R2R2 value of 0.9889 using higher spatial resolution data. Recommendations for deriving similar fragility curves for other infrastructure systems and/or hazards using the same methodological approach are also made. The authors argue that the developed fragility curves are applicable to other regions with similar electrical infrastructure and wind speeds, although some additional calibration may be required
Hearing voices in the resting brain: A review of intrinsic functional connectivity research on auditory verbal hallucinations
Resting state networks (RSNs) are thought to reflect the intrinsic functional connectivity of brain regions. Alterations to RSNs have been proposed to underpin various kinds of psychopathology, including the occurrence of auditory verbal hallucinations (AVH). This review outlines the main hypotheses linking AVH and the resting state, and assesses the evidence for alterations to intrinsic connectivity provided by studies of resting fMRI in AVH. The influence of hallucinations during data acquisition, medication confounds, and movement are also considered. Despite a large variety of analytic methods and designs being deployed, it is possible to conclude that resting connectivity in the left temporal lobe in general and left superior temporal gyrus in particular are disrupted in AVH. There is also preliminary evidence of atypical connectivity in the default mode network and its interaction with other RSNs. Recommendations for future research include the adoption of a common analysis protocol to allow for more overlapping datasets and replication of intrinsic functional connectivity alterations
The varieties of inner speech questionnaire â Revised (VISQ-R): Replicating and refining links between inner speech and psychopathology
Inner speech is a common experience for many but hard to measure empirically. The Varieties of Inner Speech Questionnaire (VISQ) has been used to link everyday phenomenology of inner speech â such as inner dialogue â to various psychopathological traits. However, positive and supportive aspects of inner speech have not always been captured. This study presents a revised version of the scale â the VISQ-R â based on factor analyses in two large samples: respondents to a survey on inner speech and reading (NâŻ=âŻ1412) and a sample of university students (NâŻ=âŻ377). Exploratory factor analysis indicated a five-factor structure including three previous subscales (dialogic, condensed, and other people in inner speech), an evaluative/critical factor, and a new positive/regulatory factor. Confirmatory factor analysis then replicated this structure in sample 2. Hierarchical regression analyses also replicated a number of relations between inner speech, hallucination-proneness, anxiety, depression, self-esteem, and dissociation
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