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A sewer system is a principal element of infrastructure in modern cities, accounting for massive amounts of public investments. Corrosion of manholes in the sewer system is a global issue, and millions of dollars are being spent on the maintenance, restoration, and replacement of deteriorated sewer networks. Concrete manholes in the sewer system are deteriorating due to the attack of sulfuric acid produced by microorganisms in a process termed microbial induced concrete corrosion (MICC), which reduces the lifespan of concrete sewer elements. The objective of this paper is to investigate the correlation between the gas- and liquid-phase sewer environmental factors and hydrogen sulfide concentration in the gas phase. The production, emission, and build-up of hydrogen sulfide gas in manholes is identified as a major cause of MICC in manhole shafts. The field study was conducted in more than 200 manholes in the City of Arlington (Texas, US). The data was collected every minute for 48 h to understand the trends of liquid- and gas-phase parameters such as hydrogen sulfide (H2S concentration), liquid and gas temperature, pH, DO, and relative humidity. The study also examines how gas-phase H2S concentrations vary with season; manhole design, including manholes' depth, slope, and presence of drop; and sewer flow conditions such as velocity and turbulence. Although no strong linear correlation was found between liquid-/gas-phase parameters, the manhole categories were found to play a significant role in H2S generation. The manholes with hydraulic jump generated the highest average H2S concentrations, followed by manholes with drops. High turbulence zones were observed in manholes of both categories, leading to H2S stripping from liquid to gas phase. The highest H2S concentration was recorded in summer, suggesting that higher liquid temperature resulted in increased bacterial activity, which generated greater liquid-phase sulfide. Greater Henry's law constants in summer, due to high temperatures, would have favored transfer of liquid-phase sulfide to the gas phase. [ABSTRACT FROM AUTHOR]

This paper presents a novel approach to intersection improvement planning utilizing telematics data from connected vehicles to generate performance measures for mobility, safety, and emissions. Congestion, crashes, and emissions are three major issues in urban areas, particularly at intersections, and agencies often struggle to prioritize improvement plans because of a lack of objective data. Traditional infrastructure sensors provide limited information at selected locations, but it is not feasible to deploy them at all intersections. The use of telematics data from connected vehicles provides a high granularity of information on driving events and trajectories that can be used in conjunction with vehicle emission modeling to efficiently generate performance measures for all intersections. In a case study of over 300 intersections in Arlington, Texas, the Pareto front method was used to evaluate and rank intersections based on multiple criteria. Intersections falling on the Pareto front were identified as having at least one outstanding (poor) performance measure and were required to be given priority for improvement. The results were cross-validated with historical crash reports and the judgments of city traffic engineers, demonstrating the effectiveness of the proposed framework in generating objective and reliable intersection performance measures. This approach has the potential to significantly improve intersection safety, mobility, and environmental impact, and can serve as a valuable decision-support tool for transportation agencies. [ABSTRACT FROM AUTHOR]

Information about several papers discussed at the Texas Public Health Association (TPHA) 88th Annual Education Conference held March 21-23, 2012 in Arlington, Texas is presented. Topics include family history in health education, emergency preparedness, and the future of TPHA. The conference featured several speakers including Drs. David Lakey, Eduardo Sanchez, and Eva Moya.

Abstract: This paper proposes a reformulation of count models as a special case of generalized ordered-response models in which a single latent continuous variable is partitioned into mutually exclusive intervals. Using this equivalent latent variable-based generalized ordered response framework for count data models, we are then able to gainfully and efficiently introduce temporal and spatial dependencies through the latent continuous variables. Our formulation also allows handling excess zeros in correlated count data, a phenomenon that is commonly found in practice. A composite marginal likelihood inference approach is used to estimate model parameters. The modeling framework is applied to predict crash frequency at urban intersections in Arlington, Texas. The sample is drawn from the Texas Department of Transportation (TxDOT) crash incident files between 2003 and 2009, resulting in 1190 intersection-year observations. The results reveal the presence of intersection-specific time-invariant unobserved components influencing crash propensity and a spatial lag structure to characterize spatial dependence. Roadway configuration, approach roadway functional types, traffic control type, total daily entering traffic volumes and the split of volumes between approaches are all important variables in determining crash frequency at intersections. [Copyright &y& Elsevier]

Nurses comprise the largest group of health-care providers and should be key partners for any disaster response in their community. An often untapped resource in many communities is the contingent of nurse faculty, staff and students in schools of nursing across the country. In an effort to provide guidance on how schools and colleges of nursing link with their community and provide real-world experience for students, the present paper: (i) outlines how a Memorandum of Cooperation between the City of Austin and the University of Texas at Austin was created; and (ii) describes an example of how a school of nursing could become organized to respond to a community's call for help. [ABSTRACT FROM AUTHOR]

In November 1966, at the Southern Historical Association (SHA) convention in Memphis, Tennessee, some 20 participants organized the Association of the Southern Labor Historians whose purpose was to promote the Southern labor history by encouraging the collection of labor records in various states and tile presentation of scholarly labor papers at annual meetings concurrent with SHA. The author and his friends inquired that no university in the Southwest was soliciting labor records. Professor Dick Shuttee, a labor economist at the University of Texas, Arlington, (UTA) was quite enthusiastic about the idea of an archives. With the permission of the History Department of UTA, the author and his colleagues started the Archives Project with a half-summer salary. About three dozen Texas labor newspapers and newsletters have been collected or have been purchased from other archives' microfilmed holdings. The Texas Labor Archives of UTA is currently the only depository in the Southwest that actively seeks union records.

The article presents announcements related to various meetings. The Department of Psychology at the University of Texas at Arlington has available a tenure-track position, beginning September 1981, for an experimental psychologist whose primary teaching and research interests are in Human Psychophysiology. Applicants must be qualified to teach Abnormal Psychology as well as courses related to psychophysiology. From February 3rd through 6th, 1982, the tenth annual meeting of the International Neuropsychological Society (INS) will be held at the Pittsburgh Hilton Hotel. Proposals for papers and/or symposia are welcome from both INS members and nonmembers.