Climatic city: Two centuries of urban planning and climate science in Manchester (UK) and its region

This paper traces the history, and current challenges, of climate science and urban design in Greater Manchester, UK. The Mancunian metropolis is a remarkable example of a ‘climatic city’, one that shapes its climate as much as it is shaped by it. From the efforts to control smoke and clear slums in the 19th century, to today’s race to be at the forefront of ‘green’ and ‘sustainable’ cities, climate is a central actor in Manchester’s history and will likely be so in the near future. We analyse the continuities and inflections of this history of climate science and urban planning in the metropolis by drawing on historical material and interviews with key local stakeholders, to understand the natural, social and political construction of this singular ‘industrial ecology’. Ultimately, we ask whether stakeholders in the Greater Manchester area can overcome existing challenges to go towards a greener, more resilient and sustainable city.     

Explanations for visual cue primacy in judgments of honesty and deceit.

Examined the validity of the distraction hypothesis (Maier & Thurber, 1968). Ss were undergraduate students who watched a videotaped interview and rated the veracity of an actress who played the role of a college student. Study 1 disconfirmed the distraction hypothesis. Ss relied on nonverbal cues to make judgments of veracity, but the presence of nonverbal cues did not distract Ss from processing verbal content. Study 2 tested an alternate explanation, the situational familiarity hypothesis. Study 2 found that judgments in familiar situations were influenced primarily by verbal content cues, whereas those in unfamiliar situations were influenced by both verbal and nonverbal cues. Findings indicate that situational factors influence information processing and affect the relative importance of verbal and nonverbal cues in judgments of veracity. Generalizability of prior deception research is questioned. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Protecting the overall rate of Type I errors for pairwise comparisons with an omnibus test statistic.

Compares 2 procedures for protecting the number of false rejections for a set of all possible pairwise comparisons. The 2-stage strategy of computing pairwise comparisons, conditional on a significant omnibus test, is compared with the multiple comparison strategy that sets a "familywise" critical value directly. The ANOVA test, the Brown and Forsythe test, and the Welch omnibus test, as well as 3 procedures for assessing the significance of pairwise comparisons, are combined into 9 2-stage testing strategies. The data from this study establish that the common strategy of following a significant ANOVA F with Student's t tests on pairs of means results in a substantially inflated rate of Type I error when variances are heterogeneous. Type I error control, however, can be obtained with other 2-stage procedures, and the authors tentatively consider the Welch F″ Welch t″ combination desirable. In addition, the 2 techniques for controlling Type I error do not substantially differ as much as might be expected; some 2-stage procedures are comparable to simultaneous techniques. (18 ref) (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Performance characteristics of a new synthetic APTT reagent

The question of whether the use of a teaching strategy employing simulation influences attitudes toward disabled persons over time was addressed in this quasi-experimental intervention study. The experimental group participated in "Sensitivity Day" which incorporated a simulation activity. A total of 77 undergraduate baccalaureate nursing students completed the Attitudes Toward Disabled Persons scale four times: presimulation, immediate postsimulation, six week delayed postsimulation and six month delayed postsimulation. In general, the nursing students had relatively positive scores on the Attitudes Toward Disabled Persons scale in each testing period. The best indicator of postsimulation attitude scores was the presimulation attitude score. Personal and prior nursing experience had no statistical effects on attitude. Improvement that was significant at p = .07 level was noted in the experimental group at the six weeks delayed postsimulation when compared with the presimulation attitude scores. This study supplies data that is useful in constructing learning activities and contributes to the body of knowledge about simulation and attitudes toward persons with disabilities.     

Multiband segmentation based on a hierarchical Markov model

We develop a new multiscale Markov segmentation model for multiband images. Using quadtree multiple resolution analysis of a multiband image, we use both inter- and intra-scale spatial Markov statistical dependencies. Bayesian inference is used to assess the appropriate number of segments. We exemplify the excellent results which can be obtained with this approach using synthetic images, and in two case studies involving multiband astronomical image sets.     

Optimization-based scheduling of hydrothermal power systems withpumped-storage units

This paper presents an optimization-based method for scheduling hydrothermal systems based on the Lagrangian relaxation technique. After system-wide constraints are relaxed by Lagrange multipliers, the problem is converted into the scheduling of individual units. This paper concentrates on the solution methodology for pumped-storage units. There are, many constraints limiting the operation of a pumped-storage unit, such as pond level dynamics and constraints, and discontinuous generation and pumping regions. The most challenging issue in solving pumped-storage subproblems within the Lagrangian relaxation framework is the integrated consideration of these constraints. The basic idea of the method is to relax the pond level dynamics and constraints by using another set of multipliers. The subproblem is then converted into the optimization of generation or pumping; levels for each operating state at individual hours, and the optimization of operating states across hours. The optimal generation or pumping level for a particular operating state at each hour can be obtained by optimizing a single variable function without discretizing pond levels. Dynamic programming is then used to optimize operating states across hours with only a few number of states and transitions. A subgradient algorithm is used to update the pond level Lagrangian multipliers. This method provides an efficient way to solve a class of subproblems involving continuous dynamics and constraints, discontinuous operating regions, and discrete operating states     

Correction to Keselman, Games, and Rogan.

In the article, "Type I and Type II Errors in Simultaneous and Two-Stage Multiple Comparison Procedures," by H. J. Keselman, P. A. Games, and J. C. Rogan (Psychological Bulletin, 1980, Vol. 88, No. 2, pp. 356-358; see record 1980-29319-001), the last sentence of the first column on page 357 is incorrect. In addition, Table 1 (p. 357) contains an error. Corrections to both errors are published here. (PsycINFO Database Record (c) 2010 APA, all rights reserved)