The Baseline for Response Latency Distributions

Response latency - the time taken to initiate or complete an action or task - is one of the principal measures used to investigate the mechanisms subserving human and animal cognitive processes. The right tails of response latency distributions have received little attention in experimental psychology. This is because such very long latencies have traditionally been considered irrelevant for psychological processes, instead, they are expected to reflect 'contingent' neural events unrelated to the experimental question. Most current theories predict the right tail of response latency distributions to decrease exponentially. In consequence, current standard practice recommends discarding very long response latencies as 'outliers'. Here, I show that the right tails of response latency distributions always follow a power-law with a slope of exactly two. This entails that the very late responses cannot be considered outliers. Rather they provide crucial information that falsifies most current theories of cognitive processing with respect to their exponential tail predictions. This exponent constitutes a fundamental constant of the cognitive system that groups behavioral measures with a variety of physical phenomena

Preventing the displacement of small businesses through commercial gentrification: are affordable workspace policies the solution?

The displacement of small businesses in cities with rising land values is of increasing concern to local communities and reflected in the literature on commercial or industrial gentrification. This article explores the perception of such gentrification as both a problem and an opportunity, and considers the motivations and implications of state intervention in London, where policies requiring affordable workspace to be delivered within mixed use developments have been introduced. Based on case studies of 13 mixed use developments in London, the findings reveal the limitations and unintended consequences of affordable workspace policies, leading to a call for planners to revisit and strengthen more traditional planning tools

Beyond the 'post-industrial' city: valuing and planning for industry in London

This paper examines the challenges that planners face if industry is to survive and thrive in a growing ‘post-industrial’ city. It examines London, where the difference between the value of land for residential and industrial use, and the pressure to address the housing crisis, is leading to the rapid loss of industrial land and premises. The paper first explores the role of industry in a high-value city such as London, arguing that trends in manufacturing in advanced economies are increasing the benefit for firms of an urban location, whilst at the same time, cities continue to need industry if they are to be economically and socially resilient, sustainable and vibrant. The paper then explores current approaches to planning for industry in London, identifying impacts of a policy framework that anticipates and plans for its decline. Finally, it focuses on the question of how to plan for a productive and inclusive city: we explore the arguments in favour of integrating industry into the urban fabric as well as the benefits of separating land uses and retaining employment land designations, and reveal how urbanists are divided. We argue that if London is to continue to prosper, and meet the needs of all Londoners, then we need to strategically and proactively plan for industry in the city, to experiment with innovative ways of integrating it with other city uses, whilst protecting land for industry, where required. We put forward a critical research agenda to effectively meet this challenge in the future

A study of the United States coal resources

Geologically significant coal resources were identified. Statistically controlled tonnage estimates for each resource type were prepared. Particular emphasis was placed on the identification and description of coals in terms of seam thickness, inclination, depth of cover, discontinuities caused by faulting and igneous intrusion, and occurrence as isolated or multiseam deposits. The national resource was organized into six major coal provinces: the Appalachian Plateau, the Interior Basins, the Gulf Coastal Plain, the Rocky Mountain Basins, the High Plains, and North Alaska. Each basin within a province was blocked into subareas of homogeneous coal thickness. Total coal tonnage for a subarea was estimated from an analysis of the cumulative coal thickness derived from borehole or surface section records and subsequently categorized in terms of seam thickness, dip, overburden, multiseam proportions, coal quality, and tonnage impacted by severe faulting and igneous intrusions. Confidence intervals were calculated for both subarea and basin tonnage estimates

Simulation of stochastic reaction-diffusion processes on unstructured meshes

Stochastic chemical systems with diffusion are modeled with a reaction-diffusion master equation. On a macroscopic level, the governing equation is a reaction-diffusion equation for the averages of the chemical species. On a mesoscopic level, the master equation for a well stirred chemical system is combined with Brownian motion in space to obtain the reaction-diffusion master equation. The space is covered by an unstructured mesh and the diffusion coefficients on the mesoscale are obtained from a finite element discretization of the Laplace operator on the macroscale. The resulting method is a flexible hybrid algorithm in that the diffusion can be handled either on the meso- or on the macroscale level. The accuracy and the efficiency of the method are illustrated in three numerical examples inspired by molecular biology