Background: As the diabetes (DM) epidemic in Canada continues to grow, the need to provide diabetes self-management education (DSME) becomes increasingly important. Research has shown that DSME can improve both physiological and behavioural outcomes in individuals with DM. Diabetes educators (DE) play an essential role in providing DSME to individuals with DM. Although considered an important role in the care of individuals with DM, the DE role is not well described in Ontario. Building a province-wide description of DEs’ role would outline the role of DE in Ontario is enacted, and suggest possible areas for improvement. The specific objectives of this study are: a) To describe the demographic characteristics of DEs in Ontario; b) To identify the structures, processes, and outcomes associated with the role of DEs; c) To identify the facilitators and barriers to providing DSME in Ontario; d) To identify the association between key characteristics of DEs (profession, education, certification, practice-setting, and DM-specific training) and the structures, processes and outcomes of this role. Methods: This cross-sectional study used an online questionnaire, the Diabetes Educator Questionnaire (DEQ). The DEQ was developed using the International Standards for Diabetes Education and Donabedian’s framework to examine the structures, processes and outcomes associated with the role of DEs. The study consisted of three sequential phases: (1) pre-testing the questionnaire in a tertiary care diabetes program, (2) pilot testing the questionnaire to a single Diabetes Educator Section (DES) chapter of the Canadian Diabetes Association (CDA), and (3) administering the DEQ to the remaining DES chapters across Ontario. The online questionnaire was created using LIME survey, an open source survey program housed at McMaster University. Data were downloaded, cleaned, and analyzed using statistical and geographical mapping software. Results: The DEQ demonstrated both face and content validity. A total of 178 out of an estimated 600 DEs across Ontario responded to the DEQ, for an overall response rate of 30%. The respondents consisted of 61 registered nurses, 94 registered dietitians, 18 pharmacists, and 4 nurse practitioners, and 1 undescribed. The majority (85%) of respondents were CDEs. Insufficient time, and organizational/management support were the two most common barriers to implementation of the role of the DE. Significant differences (p value greater than 0.05) in how DSME was provided and the use of outcomes were observed for profession, level of education, and practice setting. Limitations: With a low response rate, conclusions cannot be drawn from this study. Being an anonymous study, intra-rater reliability could not be performed. Conclusions: This study shows that the DEQ serves as a feasible tool to explore the role of DEs in Ontario, however, improved recruitment strategies are necessary before further research is performed. The study provides a foundational description of DEs across Ontario, generating possible hypotheses for future research. / Thesis / Master of Science in Nursing (MSN)

<p> Bohmian mechanics is an alternative formulation of quantum mechanics that incorporates the familiar and intuitive picture of particles moving along trajectories and yet predicts the same results as the more widely accepted Copenhagen interpretation.</p> <p> In recent years there has been renewed interest in this Bohmian view, in part for the novel approach that it suggests to certain problems, such as decay processes, both from a theoretical and computational stand point. In this thesis we focus on using the concepts introduced by the Bohmian framework as a practical computational tool.</p> <p> I evaluate a number of implementations of the Bohmian method, get a sense of their strengths and weaknesses and attempt to overcome some stability issues that arise. For problems in one-dimension (lD), accurate solutions of the time-dependent Schrodinger equation produce a wave function from which Bohmian trajectories can be computed by integrating along flux lines. For direct integration of the quantum Hamilton-Jacobi equations, the main problems that arise are related to evauating the quantum potential (QP), especially in regions of low probability density. Sufficient accuracy is required to avoid unphysical trajectory crossings. A number of interpolation schemes were investigated, and smoothed splines with special treatment of edge effects gave the best results.</p> <p> For problems in 2D the alternating direction implicit (ADI) method was employed to produce the wave function. Ways of dealing with unphysical reflections from the boundaries of a finite size domain were studied.</p> <p> The use of cellular automata, especially the lattice-Boltzmann method (LBM) were also considered. Here Bohm trajectories would be propagated by following a small set of rules. The main problem identified is that, unless a scheme can be found in which the quantum potential is self-generating from an equation of continuity, the overhead of computing the QP at each time step, is prohibitive.</p> / Thesis / Doctor of Philosophy (PhD)

The production of faulty parts poses significant challenges for production facilities, as it leads to increased inventory levels, operating costs, and impedes overall productivity. Despite its fundamental nature, this issue remains prevalent in manufacturing operations. To effectively reduce the rate of faulty parts, it is crucial to have a thorough understanding of the manufacturing process and exercise control by monitoring various parameters.  The aim of this study is to investigate the right prerequisites which enable quality assurance through in-line failure detection by vibration analysis. The research questions formulated for this thesis are as follows:  RQ1: What are the essential prerequisites for quality assurance through in-line failure detection by vibration analysis in the machining of splines? RQ2: How suitable is the use of vibration measurements in identifying and sorting out poor quality in the specific machining process of splines? The study was conducted through a literature review and a single case study of a gear hobbing process in an industrial manufacturing company.  The collection of data was acquired via interviews, observations, and vibration measurements during the spline manufacturing process. To analyse the collected data several tools got used. Python was used as the tool for performing several operations on the dataset, such as FFT of the vibration signals. To later visualize the results which facilitated the analysis of the entire dataset.  The results of the study indicate several similarities between the documented fault progression in gear systems and the manufacturing of splines. However, further research is needed to identify the core differences between these two fault progressions.  Furthermore, the study identified the essential prerequisites for implementing vibration analysis as an in-line failure detection method in spline manufacturing operations. Additionally, it concluded on the suitability of vibration analysis for identifying faults in this context.

In recent years, dramatic evolution of precision agriculture technology has been driven by technologies such as sensors and controllers, telematics, and UAV. An intriguing area in the field of precision agriculture and UAV is big volume of data and its analysis that have not been dealt with in depth. The main objective of this project is proposed to develop a digital data processing tool and deliver them in a useful format to the end users. This involves three faceted methodical approach: 1) collection of large amounts of UAV images with regards to combinations of in-field sensors and UAV imagery 2) analyze and validate the combination of data with geospatial tools 3) Develop a web-based computer data processing program to analyze the big data and assess pant condition. The validation and correlation analysis results showed that UAV assessed NDVI are good indicator of crop nutrition along with the ground-based crop sensors.

No description available.

Industry is constantly looking for ways to bring new or derivative products to market in the shortest amount of time for the least amount of money. To accomplish this, Industry has adopted Computer Aided Engineering (CAX) tools that perform structural, flow, manufacturing, and cost analysis. The way in which a company utilizes these CAX tools can determine the success of these new products. One of these tools that Industry often struggles with in the preliminary design of a product is Computational Fluid Dynamics (CFD). Some of the challenges presented by CFD are the time it takes to create a CAD model, generate a valid grid for analysis, obtain a solution, post-process results, and review the result. The objective of this thesis is to develop an approach that will reduce the time it takes to go from a concept to a solution ready for review. This approach, addresses how to first, build CAD model for use in downstream applications, second, automate the grid generation process, and third, automate the post process and documentation of the results. Using this approach a conceptual study of a two stream mixing problem was performed. The approach showed that the creation of the first model took about twenty percent longer than the standard practice used in industry today. However, once the first model was completed, different concepts could be added to the CAD model and be ready for analysis in less than half the time when compared to standard practices. This time savings can then be used to explore more concepts. After each model was analyzed, it was post-processed using an automated script. With the post-processed results the Design Review Tool (DRT) was developed to automate the documentation of the results. Using the DRT each post-processed case was organized into a web page and saved for review in less than five seconds. This approach will enable the aerospace, automotive, and other industries to use CFD to more effectively explore the design space in the development of new and derivative products. This research demonstrates the process to reduce the time required to go from CAD-to-Grid, postprocess the results, and create the documentation needed to develop new products.

No description available.

Background and objectives: Coronary artery disease (CAD) is the leading cause of death among women both nationally and internationally. Despite increased knowledge regarding CAD in women, early diagnosis remains a difficult clinical task. A correlation between peripheral arterial disease (PAD) and CAD has been noted in previous research; however, these studies were either retrospective or did not focus on women. This research investigates the correlation of ankle brachial index (ABI), measurements used to diagnose PAD, and presence of CAD in women, in an effort to determine the predictive value of ABI specifically in women. Subjects and methods: A prospective correlation design was used to study women (n = 30) who were undergoing a diagnostic cardiac catheterization. Ankle brachial index readings were obtained prior to the catheterization procedure. Catheterization findings were grouped according to absence of CAD or presence of 1-vessel or multivessel CAD and coupled with each woman's ABI and recorded cardiovascular risk factors. Results: Peripheral arterial disease (based on ABI of <0.90 mm Hg) was found in 13.3% of the women. A significant correlation was found between ABI of less than 0.90 mm Hg and increasing age (t = -2.30, P =.029). Coronary artery disease was found in 82.1% of the women; more than half (57.1%) had multivessel disease. Absence of CAD was noted in 17.9%. Women with CAD were older than women without CAD (F = 3.86, P =.035). No significant differences were found between presence or absence of PAD based on ABI and diagnosis of no coronary disease or 1-vessel or multivessel coronary disease. Conclusions: This study failed to show the expected correlation between ABI of less than 0.90 mm Hg and CAD, but did show a significant correlation of age with presence of both PAD and CAD. Further research that focuses specifically on women is needed and should include a larger sample, additional unique cardiovascular risk factors, and innovative diagnostic tests to determine presence of CAD in women early in the disease process.

Drill and practice systems provide students with an informal learning environment to learn programming languages. In a traditional classroom setting, while feedback is personalized for each individual, it is a time consuming process. These online environments possess the ability to provide instantaneous feedback and can be accessed from any location. However, while these are conveniences, there is still an issue with the quantity and quality of feedback that is provided to each user by the system, and whether it is helpful towards helping them solve the exercise with a large understanding of the concept being tested. In this thesis we investigate how students perceive additional feedback would help them in completing coding exercises in CodeWorkout. We conducted these investigations through user studies, across two focus groups, with Computer Science students from various years. The study was conducted over one semester with a total of seventeen participants. A discussion based frequently asked questions (FAQ) tool, the ability to request a hint during submissions and the option to provide a hint to other users, to encourage active learning, were all options presented to participants during these focus groups. The information gathered though these group discussions formed the basis of our conclusion and implications. The overall feedback on all three tools was both positive and constructive. The idea of having a less traditional FAQ tool, complete anonymity in responses, as well as the ability to vote on hints provided were strong emergent themes through the study. The majority of Participants felt that they would utilize all these tools in some fashion, were they provided, and would find them helpful in completing a coding exercise if they were stuck. Lastly, we conclude with suggestions for potential design and feature options for the system. / Master of Science

Yes / Model checking has been extensively used to verify various systems. However, this usually has been done by experts who have a good understanding of model checking and who are familiar with the syntax of both modelling and property specification languages. Unfortunately, this is not an easy task for nonexperts to learn description languages for modelling and formal logics/languages for property specification. In particular, property specification is very daunting and error-prone for nonexperts. In this paper, we present a methodology to facilitate probabilistic model checking for nonexperts. The methodology helps nonexpert users model their systems and express their requirements without any knowledge of the modelling and property specification languages.