‘Why can’t they meet in bars and clubs like normal people?’: the protective state and bioregulating gay public sex spaces

State regulation of gay public sex spaces (PSS) has prompted geographers to assess the influence that localised legalities exert in specific micro-spaces of interaction, and to expand this research into cities not considered to be archetypically ‘gay friendly’. Through the lens of Foucault’s governmentality, it is important to consider state-directed bioregulatory influences upon toilets and parks as PSS. Such bioregulation, with its aim of producing a ‘healthy’ sexual population, seeks to expose public sex as ‘dangerous’, encouraging a policing of PSS and the men who use them. Part of this bioregulation also enlists men using PSS as responsible for peer surveillance to ensure anonymity and privacy in PSS. This auto-surveillance develops a ‘common code of conduct’ leading these men to develop their own modes of ‘normativity’ within these hetero-challenging spaces. By consulting with men who use PSS, I unearth oral histories of how changing laws, policy and ‘mainstream’ attitudes towards PSS in Glasgow, Scotland, have impacted upon cruising and cottaging. This paper will provide a place-specific reading of gay urban sexscapes, exploring how state bioregulation encourages the creation of new gay practices, identities and geographies

Random Relational Rules

Exhaustive search in relational learning is generally infeasible, therefore some form of heuristic search is usually employed, such as in FOIL[1]. On the other hand, so-called stochastic discrimination provides a framework for combining arbitrary numbers of weak classifiers (in this case randomly generated relational rules) in a way where accuracy improves with additional rules, even after maximal accuracy on the training data has been reached. [2] The weak classifiers must have a slightly higher probability of covering instances of their target class than of other classes. As the rules are also independent and identically distributed, the Central Limit theorem applies and as the number of weak classifiers/rules grows, coverages for different classes resemble well-separated normal distributions. Stochastic discrimination is closely related to other ensemble methods like Bagging, Boosting, or Random forests, all of which have been tried in relational learning [3, 4, 5]

Idioms for µ-charts

This paper presents an idiomatic construct for µ-charts which reflects the high-level specification construct of synchronization between activities. This, amongst others, has emerged as a common and useful idea during our use of µ-charts to design and specify commonly-occurring reactive systems. The purpose of this example, apart from any inherent interest in being able to use synchronization in a specification, is to show how the very simple language of µ-charts can used as a basis for a more expressive language built by definitional extension

Demonstration test of burner liner strain measurements using resistance strain gages

A demonstration test of burner liner strain measurements using resistance strain gages as well as a feasibility test of an optical speckle technique for strain measurement are presented. The strain gage results are reported. Ten Kanthal A-1 wire strain gages were used for low cycle fatigue strain measurements to 950 K and .002 apparent strain on a JT12D burner can in a high pressure (10 atmospheres) burner test. The procedure for use of the strain gages involved extensive precalibration and postcalibration to correct for cooling rate dependence, drift, and temperature effects. Results were repeatable within + or - .0002 to .0006 strain, with best results during fast decels from 950 K. The results agreed with analytical prediction based on an axisymmetric burner model, and results indicated a non-uniform circumferential distribution of axial strain, suggesting temperature streaking

High temperature strain gage technology for hypersonic aircraft development applications

An experimental evaluation of Pd 13 percent Cr and of BCL-3 alloy wire strain gages was conducted on IN100 and Cu 0.15 percent Zr alloy substrates. Testing included apparent strain, drift, gage factor, and creep. Maximum test temperature was 1144 K (1600 F). The PdCr gages incorporated Pt temperature compensation elements. The PdCr gages were found to have good resistance stability below 866 K (1100 F). The BCL 3 gages were found to have good resistance stability above 800 K (981 F), but high drift around 700 K (800 F)

Advanced fiber placement of composite fuselage structures

The Hercules/NASA Advanced Composite Technology (ACT) program will demonstrate the low cost potential of the automated fiber placement process. The Hercules fiber placement machine was developed for cost effective production of composite aircraft structures. The process uses a low cost prepreg tow material form and achieves equivalent laminate properties to structures fabricated with prepreg tape layup. Fiber placement demonstrations planned for the Hercules/NASA program include fabrication of stiffened test panels which represent crown, keel, and window belt segments of a typical transport aircraft fuselage

Measuring and Comparing Stress Levels and Stress Behaviors to Rehabilitation Time in Avian Patients

A better understanding of avian stress behaviors and the consequences of this stress is important for wildlife care clinics, the rehabilitation field, and the behavioral ecology community. The goals of this experiment are to 1) determine whether correlations between the time to patient recovery and the stress experienced during captivity exist, and 2) develop a ranking of patient response to treatment that will inform doctors and staff about the stress levels patients are experiencing. I observed behavioral response to handling and treatment by staff for 3 barred owls admitted to the Wildlife Care Clinic. I collected fecal samples from during periods of lower stress and after handling to determine baseline and stress-induced levels of corticosterone, a reliable indicator of avian stress (Deviche et al., 2014), for all individuals. I will determine corticosterone metabolite concentrations in the samples via enzyme immunoassay (Wasser et al. 1997). Finally, using the length of time to patient release as a proxy for patient recovery, I determined whether there are any correlates between patient response and subsequent corticosterone levels. I predict that the birds exhibiting more energetic behavior during handling will have lower corticosterone levels and therefore have a quicker rehabilitation time (Garamszegi et al. 2012)

Random Relational Rules

In the field of machine learning, methods for learning from single-table data have received much more attention than those for learning from multi-table, or relational data, which are generally more computationally complex. However, a significant amount of the world's data is relational. This indicates a need for algorithms that can operate efficiently on relational data and exploit the larger body of work produced in the area of single-table techniques. This thesis presents algorithms for learning from relational data that mitigate, to some extent, the complexity normally associated with such learning. All algorithms in this thesis are based on the generation of random relational rules. The assumption is that random rules enable efficient and effective relational learning, and this thesis presents evidence that this is indeed the case. To this end, a system for generating random relational rules is described, and algorithms using these rules are evaluated. These algorithms include direct classification, classification by propositionalisation, clustering, semi-supervised learning and generating random forests. The experimental results show that these algorithms perform competitively with previously published results for the datasets used, while often exhibiting lower runtime than other tested systems. This demonstrates that sufficient information for classification and clustering is retained in the rule generation process and that learning with random rules is efficient. Further applications of random rules are investigated. Propositionalisation allows single-table algorithms for classification and clustering to be applied to the resulting data, reducing the amount of relational processing required. Further results show that techniques for utilising additional unlabeled training data improve accuracy of classification in the semi-supervised setting. The thesis also develops a novel algorithm for building random forests by makingefficient use of random rules to generate trees and leaves in parallel

Spacecraft radiator systems

A spacecraft radiator system designed to provide structural support to the spacecraft. Structural support is provided by the geometric "crescent" form of the panels of the spacecraft radiator. This integration of radiator and structural support provides spacecraft with a semi-monocoque design