As increasing emphases are placed on the importance of a muscular male physique in Westernized culture, more men are experiencing eating, exercise, and body image (EEBI) disturbances. Clinician-researchers have identified a syndrome, termed muscle dysmorphia (MD), in which individuals, usually men, are pathologically preoccupied with their perceived lack of muscularity. The current study tested a modified version of an extant theoretical model of MD symptomatology as well as an alternative model of MD symptomatology. Over 700 adult men completed a demographic questionnaire, a symptom inventory, a self-esteem questionnaire, a measure of perfectionism, a measure of the media’s influence on EEBI disturbances, and measures of body dissatisfaction and MD symptoms. Structural equation modeling (SEM) was used to examine the goodness of fit of the proposed models. Overall, the first model demonstrated poor fit with the data. Conversely, the alternative model fit the data adequately. The alternative model was cross validated with a second sample, and also fit this data adequately.

Recruitment and derecruitment (R/D) of airways is known to significantly influence mechanical properties of the respiratory system during artificial ventilation, particularly in states of lung injury. The prevailing view of this phenomenon treats airway R/D as a static function of pressure. Recent experimental and clinical data suggests that this is not the case, but rather that R/D is an inherently dynamic process. In order to quantitatively assess the dynamics of lung recruitment during mechanical ventilation we extended a mathematical model by Bates and Irvin (9) for the purpose of fitting experimental data. The model of the lung consists of a parallel network of flow pathways with identical resistive and elastic elements. Each pathway is allowed to be either open, whereby it accumulates flow and decreases overall lung stiffness, or closed, increasing lung elastance and not participating in ventilation. The pathways are characterized by unique critical closing and opening pressures, and opening and closing velocities, each chosen from probability distribution functions. The rate of transition between an open and closed state depends on the magnitude difference between the pressure in the respiratory system and each unit’s critical pressure times the airway’s opening or closing velocity constant. Since the exact form of the pressure dependence governing recruitment and derecruitment remains unknown we explored four model variants to predict how opening or closing behavior is altered in injury. The lung model was coupled with a computational model of a mechanical ventilator in order to simulate elastance changes following deep inflation (DI) at three levels of Positive End Expiratory Pressure (PEEP). Elastance measurements came from healthy or lung injured mice at 4, 14, 24 or 48 hours following intratracheal instillation of saline (control) or hydrochloric acid (injury). The Nelder and Mead simplex optimization method was used to minimize error between model variants and average experimental elastance for each condition. By comparing the residual error of the fits for each model, we have demonstrated that only one variant was able to recreate both the transient response to deep inflations and the response to static PEEP. In fitting the best model to data from individual mice we obtained estimates for parameters governing opening and closing behavior. Statistics and model sensitivity were determined for each parameter in every experimental condition. Comparison of parameter values between groups revealed a significant increase in closing and opening pressures from health to injury, which worsened with increasing injury severity. The progressive increase in critical pressures as injury worsens implicates surfactant deactivation as the likely cause of increased propensity for airway closing during acute lung injury.

Atrial fibrillation (AF) is the most common cardiac arrhythmia that affects an estimated 33.5 million people worldwide. Despite its prevalence and economic burden, treatments remain relatively ineffective. Interventional treatments using catheter ablation have shown more success in cure rates than pharmacologic methods for AF. However, success rates diminish drastically in patients with more advanced forms of the disease. The focus of this research is to develop a mapping strategy to improve the success of ablation. To achieve this goal, I used a computational model of excitation in order to simulate atrial fibrillation and evaluate mapping strategies that could guide ablation. I first propose a substrate guided mapping strategy to allow patient-specific treatment rather than a one size fits all approach. Ablation guided by this method reduced AF episode durations compared to baseline durations and an equal amount of random ablation in computational simulations. Because the accuracy of electrogram mapping is dependent upon catheter-tissue contact, I then provide a method to identify the distance between the electrode recording sites and the tissue surface using only the electrogram signal. The algorithm was validated both in silico and in vivo. Finally, I develop a classification algorithm for the identification of activation patterns using simultaneous, multi-site electrode recordings to aid in the development of an appropriate ablation strategy during AF. These findings provide a framework for future mapping and ablation studies in humans and assist in the development of individualized ablation strategies for patients with higher disease burden.

The field of smart materials is an increasingly growing area of research. In aerodynamics applications especially, transducers have to fulfill a series of requirements such as light weight, size, energy consumption, robustness and durability. Piezoelectric transducers, devices which transform an electrical signal into motion, fulfill many of these requirements. Specifically, piezoelectric composites are of interest due to their added toughness and ease of integration into a structure. Resulting composites have a characteristic initial curvature with accompanying residual stresses that are responsible for enhanced performance, relative to flat actuators, when the active material is energized. A number of transducer designs based on composites have been developed. Two of these piezoelectric composites called Thunder® and Lipca are analyzed. Thunder is a composite of steel, polyimide adhesive, PZT, polyimide adhesive, and aluminum; and Lipca is a composite of fiberglass epoxy, carbon/epoxy, PZT, and fiberglass epoxy.Room temperature shapes of circular and rectangular Thunder® and Lipca actuators are predicted by using the Rayleigh-Ritz model. This technique is based on the assumption that the stable geometric configuration developed in the actuator after manufacturing, is the configuration that minimizes the total potential energy. This energy is a function of the displacement field which can be approximated by two functions, a four term model, and a twenty-three term model. The coefficients in the models are determined by minimizing the total potential energy of the actuator. The actuator deformations are assumed to obey the Kirchhoff hypothesis and the actuator layers are assumed to be in the state of plane stress.The four coefficient model produces results not comparable to three-dimensional surface topology maps. The twenty-three coefficient model however, is shown to have generally good agreement with the data for all studied actuators. To quantify the difference, at the cross section of each actuator, a profile is fitted by using a quadratic equation obtaining regression coefficients above 99%. For all actuators, the error between experimental and the calculated centerline data is less than 6%. For the 6R model however, the error is approximately 25%. One of the possible reasons for the error may be the tolerance of the thickness of the PZT layer. By changing the PZT thickness ±6% of the nominal value, over predicts the experimental dome height by 20%. Another possible reason for the discrepancy is the thickness of the actuator, thicker than all actuators used in this study, which might contradict the validity of the thin actuator assumption. Furthermore, by calculating the side-length-to-thickness ratio, 115 in this case, as stated by Aimmanee & Hyer (2004), may cause instability, and could result in unexpected behavior.The neutral axis position, calculated by using a force balance at equilibrium under the assumption of pure bending, for all actuators used in this study is determined and compared to the ceramic layer position. The results indicated that for all Thunder® models the neutral axis is located below the ceramic layer indicating that the PZT wafer may be in total tension. For the Lipca C2 device however, the neutral axis is found to be above the ceramic layer, indicating that the piezoelectric layer may be in total compression.Strain fields are also predicted with contradicting results when compared to the theory that the ceramic is in tension in the Thunder actuators. The contradiction on the strain calculations can be explained by the manner the strain field is derived: by differentiating and squaring the high-order polynomials of the approximated displacement component losing accuracy when it comes to predicting normal and shear strains.The Rayleigh-Ritz technique can become a tool to perform parametric studies of the key elements for manufacturing to optimize specific features of the actuators.

Previous research reports that individuals working with children with autism can positively affect social behavior through the use of socially embedded consequences. There is no research on training teachers to use socially embedded consequences. The current study had three purposes: to evaluate the effects of video modeling on teachers' embedded consequences, to evaluate the addition of feedback to increase effectiveness, and to evaluate the effects of the teacher's use of socially embedded consequences on other teacher behaviors. Results indicate that video modeling alone was not sufficient in changing teacher behavior and that the addition of feedback was necessary for meaningful teacher behavior change. Additionally, the increased used of socially embedded consequences had positive effects on teacher social engagement and indices of interest. A discussion of the results and suggestions for future research is also provided.

Geopolymers have received increasing attention as a promising sustainable alternative to ordinary Portland cement (OPC). However, the relationship among the synthesis, geopolymerization process, microstructures, molecular strucutres and mechanical properties of geopolymers remains poorly understood. To fill this knowledge gap, this dissertation focuses on the correlation of chemical composition-reaction kinetics-microstructure-mechanical properties of geopolymers. This study also sheds light on the durability, environmental impact and engineering applications of geopolymers from practical perspectives. The first part of this dissertation presents a comprehensive study on red mud-class F fly ash based geopolymers (RFFG). Firstly, RFFG with a high 28-day mechanical strength were successfully synthesized under the ambient condition of 23°C and 40 to 50% relative humidity. A nominal Na/Al molar ratio of 0.6 ~ 0.8 with a Si/Al ratio of 2 was found to be a good starting chemical composition for RFFG synthesis. Secondly, the reaction kinetics and its relation to the mechanical properties of RFFG were investigated by monitoring the development of geopolymer gels, reaction rate, porosity and mechanical properties of RFFG samples cured at room temperature, 50°C and 80°C for up to 120 days. The asymmetric stretching FTIR band of Si-O-T (T is Si or Al) centered around 960-1000 cm-1, which is the characteristic band of geopolymer gels, was observed to shift to a lower wavenumber at the early stage of the synthesis and shift to a higher wavenumber later on during the synthesis. The shift of Si-O-T band indicates that the geopolymerization took place in three stages: dissolution to Al-rich gels at Stage I, Al-rich gels to Si-rich gels at Stage II and Si-rich gels to tectosilicate networks at Stage III. The mechanical strength of RFFG barely increased, increased slowly by a limited amount and developed significantly at these three stages, respectively. An elevated curing temperature enhanced the early strength of RFFG, whereas an excessively high curing temperature resulted in a higher pore volume that offset the early-developed strength. Lastly, the remaining mechanical properties of the RFFG samples after soaking in a pH = 3.0 sulfuric acid solution for up to 120 days and the concentration of heavy metals leached from RFFG samples after the soaking were measured. The RFFG samples’ resistance against sulfuric acid was found to be comparable to that of OPC, and leaching concentrations of heavy metals were much lower than the respective EPA limits for soil contaminations. The degradation in mechanical properties of the RFFG samples during soaking in the acid was attributed primarily to the depolymerization and dealumination of geopolymer gels. The second part of this dissertation is devoted to the investigation of nano-scale mechanical properties and molecular structures of geopolymer gels with grid-nanoindentation and molecular modeling. Four phases (e.g., porous phase, partially developed geopolymer gels, geopolymer gels and unreacted metakaolin or crystals) and their nano-mechanical properties were identified in metakaolin based geopolymers (MKG) with grid-nanoindentation technique. It was found that the proportion of geopolymer gels largely determines the mechanical strength of the resulting geopolymers while other factors (e.g., pores and cracks) also play some roles in macro-scale mechanical strength of geopolymers. The final setting time of the geopolymers increased with the increase in Si/Al ratio and the decrease in Na/Al ratio, while the proportion of geopolymer gels and macro-mechanical strength of geopolymers increased with the increase in both Si/Al and Na/Al molar ratios, within the range of 1.2~1.7 and 0.6~1.0, respectively. In the molecular modeling, a combined density function theory (DFT)-molecular dynamic (MD) modeling simulation was developed to “synthesize� geopolymers. DFT simulation was used to optimize reactive aluminate and silicate monomers, which were subsequently used in reactive MD simulations to model the polymerization process and computationally synthesize geopolymer gels. The influence of Si/Al ratio and simulation temperatures on geopolymerization and resulting molecules of geopolymer gels was also examined. The computationally polymerized molecular structures of geopolymer gels were obtained. The distribution of Si4(mAl) and radial distribution fuctions of Si-O, Al-O, O-O and Na-Al for the models were compared and qualitatively agreed well with the experimental results from nuclear magnetic resonance (NMR) and neutron/X-ray pair distribution function in previous literature. Three polymerization stages: oligomerization, ring formation and condensation, were identified based on the nature of polymerization process, which were found to be affected by the temperature and Si/Al ratio. A higher temperature enhanced the reaction rate while a lower Si/Al ratio resulted in more compact geopolymer networks. The final part of this dissertation presents an experimental feasibility study of using geopolymer in shallow soil stabilization, in which a lean clay was stabilized with MKG at different concentrations. The study confirmed that MKG can be used as a soil stabilizer for clayey soils and the unconfined compressive strength, Young’s modulus and failure strain are comparable to or even better than OPC when the MKG’s concentration is higher than 11%. The binding effect of geopolymer gels on the soil particles was confirmed as the main mechanism for the improvement in mechanical properties of the stabilized soils with the scanning electron microscopy imaging, energy dispersive X-ray spectroscopy analyses and X-ray diffractometry characterization.

Classroom instruction time is a valuable yet scarce resource to teachers, who must decide how to best meet their objectives by selecting which topics to spend time on and when to move forward. Intelligent Tutoring Systems (ITS) are a powerful tool for teachers in this regard, allowing them to measure their students' current level of knowledge, helping them gauge student knowledge acquisition, and providing them with valuable insight into learning methodologies. By using ITS to identify the effectiveness of proven methods of instruction, we can more effectively teach students both in and outside of the classroom. In this paper we review the results and contributions of a new Bayesian data mining method which can be used to identify what works in an ITS and how it can be used to learn from data which is not in the typical randomized controlled trial design. We then discuss modifications to this dataset which use more knowledge about the students to improve accuracy. Lastly we evaluate this model on detecting and predicting long term student retention, and discuss methods to improve its predictive accuracy.

Building Information Modeling“BIM" is becoming a better known established collaboration process in the construction industry. Owners are increasingly requiring BIM services from construction managers, architects and engineering firms. Many construction firms are now investing in“BIM" technologies during bidding, preconstruction, construction and post construction. The goal of this project is to understand the uses and benefits of BIM for construction managers and examine BIM based scheduling. There are two objectives to this project. First is to identify the current uses of BIM in the Architectural / Engineering / Construction / Facility Management industry to better understand how the BIM-based“build to design" and“design to build" concepts can be used by construction managers under the Construction Management at Risk project delivery system. Second, a focus is placed on analyzing 3D and 4D BIM as well as BIM based scheduling. The research was conducted through literature review, case studies, and interviews. First, the research identified the uses of Building Information Modeling for preconstruction, construction and post construction phases. Then, the project examined the uses and benefits of BIM in the construction of a research facility. Subsequently, a prototype 4D Building Information Model was created and studied. Furthermore, the BIM-based schedule was integrated to the 4D model. Finally, the project concluded with an analysis on the use, advantages and setbacks of BIM and its tools.

The glucocorticoid receptor (GR) is expressed throughout the cardiovascular system and glucocorticoids (GC) are known to influence cardiovascular processes ranging from angiogenesis and vascular tone to cardiomyocyte hypertrophy and inflammation. Genetic variation in the human GR gene that associates with relative glucocorticoid resistance is also linked to hypertension and increased risk of cardiovascular disease. Mice with global GR haploinsufficiency (GR+/-) are similarly glucocorticoid resistant, with increased hypothalamic-pituitary-adrenal (HPA) axis activity and elevated blood pressure in adulthood. Previous work from the laboratory has demonstrated that the GR is essential for normal growth and maturation of the foetal heart in late gestation and in vitro studies show that GC can alter cardiomyocyte function and induce cardiomyocyte hypertrophy. I hypothesised that reduced GR density during development would have consequences for cardiovascular function and disease risk in adulthood and that cardiovascular GR signalling is important for postnatal growth of the heart, as well as physiological and pathological cardiac remodeling in adulthood. I tested this hypothesis in GR+/- mice with global alteration in GR density as well as in SMGRKO mice, with deletion of GR in cardiomyocytes and vascular smooth muscle. To investigate the association between GC resistance and cardiovascular disease risk, I have characterised the cardiac phenotype of GR+/- mice, basally and following physiological and pathological cardiac remodeling induced by a swim training programme and Angiotensin II treatment, respectively. Survival to weaning was reduced by 35% in GR+/- mice compared with wild-type (WT) littermates. Ultrasound analysis revealed impairment of systolic cardiac function in utero (E17.5) and at postnatal day (P) 2. However, by P7 cardiac function had normalised in surviving GR+/- mice and remained equivalent to WT littermates in adulthood. Heart weight and morphology were normal in GR+/- mice in adulthood but cardiomyocyte cross sectional area was reduced, in combination with an increase in nuclei per unit area implying an increased number of cardiomyocytes. This could arise from a delay in the developmental transition from hyperplasic to hypertrophic growth of cardiomyocytes and suggests that GR+/- mice may have a reduced ability to respond to the increased cardiac workload at birth and during the early postnatal period. Further cardiac challenge may be posed by the elevated blood pressure, compensatory increase in HPA axis activity and aldosterone levels previously reported in GR+/- mice. Adaptation to pathological cardiac challenge was assessed in adult GR+/- mice and WT littermates in response to AngII treatment, which has a direct hypertrophic effect on cardiomyocytes and, at higher doses, elevates blood pressure. GR+/- and WT mice showed an equivalent, dose-dependent increase in cardiomyocyte hypertrophy and cardiac fibrosis in response to AngII, as well as similar alterations in expression of Ca2+ handling genes. Functionally, these changes to the myocardium resulted in matched reductions in ejection fraction in GR+/- and WT mice. In contrast, when cardiac hypertrophy was induced by the physiological challenge of swim training, normal cardiac function was maintained in both GR+/- mice and WT controls. The physiological cardiac hypertrophy induced by swim training was not associated with cardiac fibrosis or pathological changes to left ventricle (LV) gene expression profiles. GR+/- mice have elevated HPA axis activity at baseline and swim training increased adrenal gland weight to a greater extent in GR+/- mice suggesting that raised GC levels due to compensatory HPA activation in GR+/- mice, may mask the role of GR in cardiac remodeling. To remove the effects of compensatory HPA axis activation and to achieve a greater degree of GR deficiency in the cardiovascular system, homozygous SMGRKO mice were investigated. Similar to GR+/- mice, survival to weaning compared with control littermates was impaired, by 46% and 65% in males and females respectively. Doppler measurements of transmitral inflow and transaortic outflow of blood showed a detrimental increase in the myocardial performance index (MPI), a load-independent measure of combined systolic and diastolic function. This was due to prolongation of the isovolumetric contraction time, indicating impairment of the initial LV contractile phase. Heart/body weight ratio was increased in both and male and female SMGRKO mice. Interestingly, cross sectional area was reduced in adult female SMGRKO mice cardiomyocyte, as was found in the GR+/- mice. In contrast, in male SMGRKO mice, cardiomyocyte cross sectional area and nuclei per unit area were equivalent to control littermates at 6 weeks of age, when heart/body weight ratio was already elevated. By 12 weeks of age, cardiomyocyte cross sectional area was greater in male SMGRKO mice than control littermates. In addition, levels of mRNA encoding myosin heavy chain-β, a marker of pathological cardiac hypertrophy, were greater in the LV of male but not female SMGRKO mice at 12 weeks. These findings suggest that cardiomyocyte hyperplasia in early neonatal life, possibly in combination with physiological elongation of cardiomyocytes, may underlie the elevated heart weight in female SMGRKO mice, whereas in male SMGRKO mice there is a transition to potentially pathological hypertrophy of cardiomyocytes. This may occur at puberty, in response to increased androgens, when marked LV growth occurs in males. Histopathology showed LV fibrosis in SMGRKO mice in both sexes, accompanied by elevated levels of mRNA encoding pro-fibrotic and matrix-remodeling genes in the LV. Intriguingly, levels of mRNA encoding the mineralocorticoid receptor (MR) were elevated in both sexes, which may be causal in the development of fibrosis. Indeed, in the LV, levels of mRNA encoding MR were already elevated in 6 week old SMGRKO males, at a time when cardiac collagen levels were only modestly increased. Levels of mRNA encoding the ryanodine receptor, which is essential for cardiac excitation contraction coupling, were reduced in the LV of female, but not male SMGRKO mice. The mechanisms underlying gender differences could be further investigated by comparing neonatal cardiac development in male and female SMGRKO mice. In conclusion, deletion of GR in cardiomyocytes and vascular smooth muscle causes gender specific pathological cardiac remodeling, demonstrating the essential role of cardiovascular GR signalling in cardiac maturation and function. Global GR deficiency alters the trajectory of cardiac development and increases risk of mortality. In surviving GR+/- mice, compensatory adaptations occur in response to the functional impairment seen in utero but subtle cardiac abnormalities remain in adulthood which, together with the elevated blood pressure and GC levels, may contribute to cardiovascular disease risk.

As video games become more realistic, their applications are ever expanding. They can now show detail at an almost photorealistic level, and allow the player to make any number of decisions that can affect the outcome. Simulations are using this to create more and more realistic scenarios as training for high-risk professions. This creative project will research what is necessary for models that are to be used in educational or training simulations.