Research indicates there is a gap in the implementation of online courses and programs in engineering education compared to other academic disciplines (Allen & Seaman, 2008, 2011, 2013). Using a mixed methods approach, this study collected both quantitative survey and qualitative interview data to identify which factors engineering faculty members perceived influence the implementation of online engineering courses. The survey items, based on the Technology Acceptance Model (TAM) and Unified Theory of Acceptance and Use of Technology Model (UTAUT) (Davis, 1989; Venkatesh, Morris, Davis, & Davis, 2003), included important factors specific to engineering education as indicated the literature. The interview instrument was developed based on the significant results of the survey portion of the study. The initial survey was sent to every engineering faculty member at all 31 institutions and 125 ABET accredited engineering programs in the state of Texas, with a final response population of n=266. The findings identified three major factors that influenced the implementation of online engineering courses: online teaching experience, course development issues, and implementation of technical aspects particular to engineering in an online format. The results are discussed within the context of the literature and recommendations to address the identified factors and barriers to implementation of online engineering are provided. / text

By improving the precision and accuracy of public health surveillance tools, we can improve cost-efficacy and obtain meaningful information to act upon. In this dissertation, we propose statistical methods for improving public health surveillance research. In Chapter 1, we introduce a pooled testing option for HIV prevalence estimation surveys to increase testing consent rates and subsequently decrease non-response bias. Pooled testing is less certain than individual testing, but, if more people to submit to testing, then it should reduce the potential for non-response bias. In Chapter 2, we illustrate technical issues in the design of neonatal tetanus elimination surveys. We address identifying the target population; using binary classification via lot quality assurance sampling (LQAS); and adjusting the design for the sensitivity of the survey instrument. In Chapter 3, we extend LQAS survey designs for monitoring malnutrition for longitudinal surveillance programs. By combining historical information with data from previous surveys, we detect spikes in malnutrition rates. Using this framework, we detect rises in malnutrition prevalence in longitudinal programs in Kenya and the Sudan. In Chapter 4, we develop a computationally efficient geostatistical disease mapping model that naturally handles model fitting issues due to temporal boundary misalignment by assuming that an underlying continuous risk surface induces spatial correlation between areas. We apply our method to assess socioeconomic trends in breast cancer incidence in Los Angeles between 1990 and 2000. In Chapter 5, we develop a statistical framework for addressing statistical uncertainty associated with denominator interpolation and with temporal misalignment in disease mapping studies. We propose methods for assessing the impact of the uncertainty in these predictions on health effects analyses. Then, we construct a general framework for spatial misalignment in regression.

The wildland fire risk in Arizona is increasing due to shifting land uses, growing residential communities, and changing climate. As the fire hazard increases, land managers and fire educators are faced with educating wildland-urban interface residents about their risk to influence homeowner behavior. To determine how homeowners perceive their risk and what information they use to make decisions about risk and mitigation, this study surveyed residents in previously identified high risk areas in Arizona in three different vegetation types. Results show that ponderosa pine residents are more savvy about their risk and more active in mitigating that risk. Grassland and desert scrub residents consistently report a lower perceived risk to wildland fire than their forest counterparts and perform less mitigation. Results suggest that grassland and desert scrub communities may benefit from the production and dissemination of fire-related materials detailing risk specific to these areas.

Work-related asthma surveillance is needed to improve management of occupational exposures, clinical recognition/diagnosis, and worker compensation policies. This work investigated asthma in relation to work by evaluating the utility of existing Canadian surveillance data in providing useful information about the burden of work-related asthma; estimating the burden of work-related asthma among Canada's adult population; and evaluating the effect of job risk on asthma after considering other potential risk factors for asthma. The working population formed samples from two Statistics Canada surveillance programs: Canadian Community Health Survey (CCHS), 2002/03 Cycle 2.1 and National Population Health Survey (NPHS), Longitudinal Component (1994/95-2002/03). Both surveys enquired about health professional-diagnosed asthma; NPHS additionally asked age at time of diagnosis, so adult-onset versus childhood-onset asthma was determined. Both surveys enquired about current job held; corresponding job codes were linked to an asthma-specific job exposure matrix to judge job risk for occupational asthma. CCHS only provided current job information, in contrast, NPHS longitudinal data was used to determine job held at time of asthma-onset. Statistical measures for asthma in relation to job risk were estimated. CCHS results were likely biased by the healthy worker effect, as it showed the opposite effect of job risk on asthma than the NPHS; higher asthma prevalence was shown for NPHS men and women in high risk jobs. NPHS results indicated a large burden of adult-onset asthma among men (19,000) and childhood-onset asthma among women (17,000) attributed to working in high risk jobs for occupational asthma. Using NPHS, adjusted and crude prevalence odds ratio estimates were compared to further assess effect of job risk on asthma. For adult-onset asthma, there was no difference between estimates (men: 1.8, women: 1.1); for childhood-onset asthma, adjusted estimates were larger than crude, respectively (men: 1.3 v 1.2, women: 2.0 v 1.7). Age of asthma-onset and job held at time of asthma-onset is necessary surveillance information for estimating work-related asthma. There may be increased risk of work" caused" asthma among men and work "exacerbated" asthma among women in high risk jobs. Considering other risk factors for asthma did not reduce effect of job risk on asthma.

The purpose of this study was to examine attitudes and potential for sorting of food waste at restaurants in the central part of Umeå. The information was gathered through a questionnaire survey and by exploring different sorting methods. The questionnaire was sent to 55 restaurants and 24 of them responded. A majority of the respondents wanted to sort out food waste. 72.8 % believe they have a good or moderate potential to sort out food waste in the future and none of the respondents answered that they believed that they had no means of sorting out food waste. Overall, the restaurants are considered to have good attitudes about sorting food waste. However, this may be because the respondents have a better attitude than those who chose not to respond. The sorting methods were evaluated by reviewing reports written by government agencies and industry associations. Mill systems connected to a tank had the most pros and least cons of the sorting methods, but were expensive to install and required a lot of space. Sorting in individual containers was less expensive and required less space but was considered worse from a working environment standpoint. It seems that a combination of individual containers and a mill system connected to a tank suit most restaurants.

No description available.

No description available.

No description available.

The objective of this paper is to examine factors affecting the risk management behavior of Western Canadian grain producers. The first part analyzes factors affecting perceptions of crop insurance. Data for the study is generated from a survey of agricultural producers in Western Canada, and a probit model is used for estimation. Results show that if farmers receive fair crop insurance assessments, quick payments, and have a high knowledge level of crop insurance, they are more likely to have a more positive perception of crop insurance. The second part examines factors that could be influencing the frequency by which agricultural producers hedge their price risk with futures. The same data and estimation method are used. Results show that if farmers use forward contracts and options to hedge price risk, speculate with futures, place a high importance on low brokerage fees, or have larger farms, that are more likely to hedge.

Little is known about Julius Haast's life prior to his arrival in New Zealand in 1858 at the age of 36. Without knowing something about his background, it is difficult to explain his life in New Zealand. This work pursues a historical context that can more fully explain Haast's remarkably active career in New Zealand. The geological survey of the Canterbury Province, the Philosophical Institute of Canterbury and the Canterbury Museum represent Haast's major contributions to science and culture in New Zealand. Julius Haast carefully engineered his own transition from geologist to museum director within the social and political climate of Canterbury in order to remain in Christchurch where he raised his family. Heinrich von Haast's book about his father has been the accepted source of information about his father since its publication in 1948. Until recently, scholars have failed to explore beyond the scope of von Haast's biography. There is now a trend toward recognising Julius Haast as having made significant contributions to many aspects of science and society.