Pulmonary diseases are characterized by small-scale and large-scale alterations in structure and function of the lung. Multidetector-row computed tomography (MDCT) is a powerful tool for quantitatively assessing small-scale lung structure including parenchymal destruction, air trapping and airway remodeling. When combined with novel imaging techniques and contrast agents, measuring small-scale regional ventilation (rV̇A) and perfusion (rQ̇) also becomes possible. This thesis focuses on developing and evaluating MDCT-based tools for measuring regional lung function in animal models and transitioning them to studying humans. Wash-in xenon-CT rV̇A measurements acquired in an animal model were validated with inhaled fluorescent microspheres (FMS), an invasive but recognized gold standard. Xenon-CT correlated well with FMS, demonstrating similar gradients in prone and supine postures. Small-scale rV̇A measurements from xenon-CT were less susceptible to partial voluming and resulted in reduced scatter. To facilitate the measurement of regional structure and function on awake-free-breathing humans, we developed systems for lung volume standardization during scanning for both static and dynamic breathing. Anesthetic properties dictated using 30% rather than 55% xenon-gas, reducing signal-to-noise ratio. This reduction, in addition to the influence of free breathing, made xenon-CT more susceptible to noise and required additional post-processing to bolster confidence in rV̇A measurements acquired in humans. Improvements to the available curve-fit algorithms were made and 4D image registration was developed to align time-series datasets. Applying these techniques, we compared rV̇A between normal never-smokers (NS), normal smokers (SNI), normal smokers with early signs of centrilobular emphysema not evident by PFTs (SCE) and smokers with COPD. There was increased heterogeneity in SNI versus NS and time constants were lengthened in COPD and in SCE. This is consistent with our earlier hypothesis that while patchy inflammation will occur in all smokers, only a subset of the population with decreased rQ̇ in regions of inflammation stemming from a failure to block HPV will be susceptible to emphysema. In order to facilitate translation into the clinical research environment, we established dual-energy-CT (DECT) methods to replace more elaborate time-series laboratory-centered techniques. Xe-DECT rV̇A measures were optimized through a series of phantom and animal studies to determine the proper three-material decomposition parameters, imaging parameters, gas mixture and delivery protocol. DECT perfused blood volume was validated as a surrogate for rQ̇ in animal studies in which blood flow patterns were altered by increasing lung inflation or occluding a portion of the pulmonary vasculature. To examine the intricacy of lung function, the effects of disease, and give us insight into their etiology we must study gas-exchange on a small-scale. MDCT-based techniques provide the spatial resolution necessary to examine rV̇A and rQ̇ on a small-scale offering an avenue to identify novel phenotypes that may not only yield insights into disease processes but also may provide tools leading to drug and device developments, outcomes assessment and ultimately to the selection of subpopulations suitable for a particular intervention.

Over the past 50 years, a great deal of research has conceptualised and modelled consumer decision-making as a single-or two-stage decision process. Today, the decision complexity has increased and consumers need to filter out a large amount of information prior to the final choice decision. This poses a challenge for marketing modellers to develop decision models that are more representative of real-world decision-making. An important rationale for the present study is to improve our understanding of consumer decision-making by providing empirical evidence that consumer decision-making may go beyond a single-or two-stage structure. This thesis aims to provide an insightful view of consumer decision-making, which may help marketers to develop and reinforce marketing programs to address consumer needs and hence increase profits, with knowledge of the types of decisions made and how decisions are made at different stages of the decision process. The literature review identified single-and two-stage decision models. Data analysis did not fully support this conceptualisation. An empirical exploration of consumer decision-making for a durable product revealed that the existing literature is limited in scope and predictability as they failed to capture multi-phase decision processes, which accounted for approximately one-half of consumer decisions. Empirical evidence was found suggesting that consumers seldom use a single strategy throughout the decision process. Consumer heterogeneity was also evident in this research as different consumers approached the same decision task with different processes and outcomes. Finally, this research identified those aspects of decision processes that have not been captured by the literature-based decision strategies. This research suggests that consumer decisions are more contingent than previously conceived in a single-and two-stage model. This research recommends that marketers should reconsider their understanding of consumer decision-making and bear in mind that one marketing strategy does not fit all customers. Marketers need to develop marketing strategies to address the entire decision process instead of focusing only on the decision outcome. By identifying different decision paths that are used by consumers, marketers can effectively segment the market; marketers can also benchmark consumers' perceptions of their performance on the important attributes against competitors to ensure that their product/brand is not eliminated prior to the selection from within the choice set. Future research requires us to understand how consumer differences interact with the decision environment to influence decision processes and outcomes. To do so, researchers must adopt a multi-phase perspective.

The impact of the soil structure on flow and transport in partially water saturated soils is currently still a matter of scientific debate. The major aim of this thesis was to investigate the relation between heterogeneity and transport for a natural unsaturated heterogeneous Tertiary sand deposit. In the first part, we analyzed the flow and transport at the scale of an undisturbed monolith. Chloride breakthrough curve experiments were used to derive an apparent dispersion coefficient at the TDR sampling and monolith scale. Application of a Brilliant Blue pulse allowed further the visualization of flow distribution within the monolith. Small undisturbed soil cores were sampled throughout the monolith and the hydraulic characteristic curves at the scale of the cores were determined. Textural variability and structure as inferred from the inspection of the Brilliant Blue pattern and analysis of the small core sampling were subsequently implemented in a 3-D model and transport was simulated. The simulations clearly revealed the importance of the macro-structure on the transport behavior of the soil. We also showed that the micro-variability heterogeneity component was needed to assess the scaling of the effective and local scale dispersivity. In the second part, we studied in-situ chloride transport in the vadose formation separating the bottom of a lake and an unconfined aquifer. First the uncertainty generated by the undersampling of the lake chloride concentration time series were investigated. Subsequently, velocity and dispersivity profiles were assessed by inverse modeling of the soil chloride concentration time series. We observed that the clay layers induced an increase of the dispersivity below them. We hypothesize that fingering flow or convergence phenomena, occurring below sand-clay interfaces, lead to non-representative artificially high dispersivity values. Velocity and dispersivity values just above the clay layers however seem more reliable due to convergence phenomena and better lateral mixing induced by a larger water content. In this formation, the transport behavior could be characterized considering a hierarchical structure of the subsoil heterogeneity. In this model, the flow field micro-variability is influenced by pore structure (possibly characterized by scaling factors). The next complexity level is induced by the slight layering resulting from the sedimentation process (not investigated in this work). Then, the third hierarchical level is assessed by the macro-structure and the sequence of clay layers in the sand. Each of these levels is assumed to have an effect on the solute mixing process and effective macro-dispersivity.

This thesis deals with different forms of strategic complementarities in industrial organization problems. Chapter 2 is an attempt to develop a unified approach to endogenous heterogeneity by constructing a general class of two-player symmetric games that possess only asymmetric pure-strategy Nash equilibria. These classes of games are characterized in some abstract sense by two general properties: payoff non-concavities and some form of strategic substitutability. While the second characteristic allows to show the existence of pure strategy Nash equilibria, the second precludes these equilibria to be symmetric. Other two classes of games that always possess asymmetric, but never symmetric, pure-strategy equilibria, although they are not of strategic substitutes are also studied. This chapter also generalizes a number of models dealing with two-stage games, with long term investment decisions in the first stage and product market competition in the second stage. Chapter 3 investigates the effects of forward looking behaviour in technology adoption. The setup is an overlapping generations model where agents choose between two alternative networks taking into consideration both the installed base and the expected base. The latter element is the distinctive feature of the approach. It is shown that a unique equilibrium exists, on which agents coordinate their expectations. While exhibiting hysteresis, the equilibrium adoption path does not comply with technologies locking in. Network choices are characterized both in terms of their long run properties and the expected time of adoption. Chapter 4 studies the problem of a monopolist who produces a good with network externalities and faces the possibility of selling a new higher quality. Within the vertical product differentiation it identifies the necessary and sufficient conditions for quality improvement to take place when a good, produced by a monopolist, exhibits positive network externalities. When network effects are not very strong, the monopolist produces both the high and the low quality and thus quality improvement takes place. In this case, he will use an introductory pricing strategy for the quality that benefits from network externalities, not maximizing however the network size. As the network effect becomes more important, the monopolist will have an incentive to practise introductory pricing and produce both qualities. Finally, if the network externality is higher than the intrinsic quality differential, quality improvement does not take place. Chapter 5 deals with the problem of an incumbent producing a low quality good with network externalities that faces the threat of entry by a higher quality good. In the framework of a vertical product differentiation model, it is identified a necessary and sufficient condition under which quality improvements are spontaneously adopted along, in spite of the existence of network effects. This condition says that the intensity of network effects on consumers' preferences should not exceed twice the differential of intrinsic qualities existing between the two variants. Finally, chapter 6 is concerned with the optimal path of prices of a monopolist who operates in a network industry for a finite horizon. Agents obtain intrinsic utility from the good and from the fact that in the past there have been other consumers using it. It is observed that the monopolist has an incentive to introduce the good at initially low prices and to increase the price as the time goes by. This chapter concludes with a necessary and sufficient condition under which the initial price, and only the initial one is zero. This condition is related both with the intensity of the preferences for the network and with the time horizon of the monopolist.

The radial heterogeneity of some columns used in high performance liquid chromatography (HPLC) was investigated using an on-column microelectrochemical amperometric detector. Such a detector allowed the recording of the elution profiles at different spatial positions throughout the column exit cross-section. From this, we obtain information about the radial distribution of the mobile phase velocity, column efficiency, and analyte concentration. In all cases, the results obtained show that the spatial distribution of the mobile phase velocity does not follow a piston-flow behavior but exhibits radial heterogeneity with differences not exceeding 5% between the center and wall regions of any column. The efficiency was found to be lower in the wall region of the column than in its core region (the central core with a radius of 1/3 the column inner radius) by up to 40-50% in some columns. The radial distribution of the maximum concentration of the peaks varies throughout the column exit section, partially due to the radial variations of the column efficiency. The technology used in constructing the microelectrochemical detectors was further exploited to fabricate and incorporate an online detector array for a pressurized flat wide column measuring 10x10x0.1 cm in dimensions. Thus, unlike traditional thin layer chromatography, samples in this pressurized flat bed are completely eluted and detected in a time-based mode just like they are in HPLC. Also, a lateral arrangement of the detector array allows for an easy monitoring of the homogeneity of the flat wide column. Also, information on the surface properties of three novel chemically bonded phase packing materials for HPLC was obtained using solid state cross-polarization (CP) magic-angle spinning (MAS) nuclear magnetic resonance (NMR) spectroscopic experiments for the 29Si, and 13C nuclei. These packing materials were: Cogent bidentate C18 bonded to type-C silica, hybrid packing materials XTerra MS C18, and XBridge Prep. C18. The spectra obtained using cross-polarization magic angle spinning (CP-MAS) on the Cogent bidentate C18 bonded to type-C silica show the surface to be densely populated with hydride groups (Si-H), with a relative surface coverage exceeding 80%. The hybrid packing materials XTerra and XBridge gave spectra that reveal the silicon atoms to be bonded to alkyl moieties embedded in the molecular structure of these materials with over 90% of the alkyl silicon atoms found within the completely condensed silicon environments.

Heterogeneity, the degree of dissimilarity, is one of the most important and widely applicable concepts in ecology. It is highly related to ecosystem conditions and features wildlife habitat. Grasslands have been described as inherently heterogeneous because their composition and productivity are highly variable across multiple scales. Therefore, biological heterogeneity can be an indicator of ecosystem health. The mixed prairie in Canada, characterized by its semiarid environment, sparse canopy, and plant litter, offers a challenging region for environmental research using remote sensing techniques. This thesis dwells with the plant canopy heterogeneity of the mixed prairie ecosystem in the Grasslands National Park (GNP) and surrounding pastures by combining field biological parameters (e.g., grass cover, leaf area index, and biomass), field collected hyperspectral data, and hierarchical resolution satellite imagery. The thesis scrutinized four aspects of heterogeneity study: the importance of scale in grassland research, relationships between biological parameters and remotely collected data, methodology of measuring biological heterogeneity, and the influence of climatic variation on grasslands biological heterogeneity. First, the importance of scale is examined by applying the semivariogram analysis on field collected hyperspectral and biophysical data. Results indicate that 15 - 20 m should be the appropriate resolution when variations of biological parameters and canopy reflectance are sampled. Therefore, it is reasonable to use RADARSAT-1, Landsat TM, and SPOT images, whose resolutions are around 20 m, to assess the variation of biological heterogeneity. Second, the efficiency of vegetation indices derived from SPOT 4 and Landsat 5 TM images in monitoring the northern mixed prairie health was examined using Pearsons correlation and stepwise regression analyses. Results show that the spectral curve of the grass canopy is similar to that of the bare soil with lower reflectance at each band. Therefore, vegetation indices are not necessarily better than reflectance at green and red wavelength regions in extracting biological information. Two new indices, combining reflectance from red and mid infrared wavelength regions, are proposed to measure biological parameters in the northern mixed prairie. Third, texture analysis was applied to quantify the biological variation in the grasslands. The textural parameters of RADARSAT imagery correlated highly with standard deviation of the field collected canopy parameters. Therefore, textural parameters can be applied to study the variations within the mixed prairie. Finally, the impacts of climatic variation on grassland heterogeneity at a long time scale were evaluated using Advanced Very High Resolution Radiometer (AVHRR) , Normalized Difference Vegetation Index (NDVI), Maximum Value Composite (MVC), and SPOT Vegetation NDVI MVC imagery from 1993 to 2004. A drought index based on precipitation data was used to represent soil moisture for the study area. It was found that changes of temperature and precipitation explain about 50% of the variation in AVHRR NDVI (i.e., temporal heterogeneity) of the northern mixed prairie. Trend line analysis indicates that the removal of grazing cattle carry multiple influences such as decreasing NDVI in some parts of the upland and valley grassland and increasing NDVI in the valley grassland. Results from this thesis are relevant for park management by adjusting grassland management strategies and monitoring the changes in community sizes. The other output of the thesis is furthering the remote sensing investigation of the mixed prairie based on information of the most appropriate resolution imagery.

Heterogeneity, the degree of dissimilarity, is one of the most important and widely applicable concepts in ecology. It is highly related to ecosystem conditions and features wildlife habitat. Grasslands have been described as inherently heterogeneous because their composition and productivity are highly variable across multiple scales. Therefore, biological heterogeneity can be an indicator of ecosystem health. The mixed prairie in Canada, characterized by its semiarid environment, sparse canopy, and plant litter, offers a challenging region for environmental research using remote sensing techniques. This thesis dwells with the plant canopy heterogeneity of the mixed prairie ecosystem in the Grasslands National Park (GNP) and surrounding pastures by combining field biological parameters (e.g., grass cover, leaf area index, and biomass), field collected hyperspectral data, and hierarchical resolution satellite imagery. The thesis scrutinized four aspects of heterogeneity study: the importance of scale in grassland research, relationships between biological parameters and remotely collected data, methodology of measuring biological heterogeneity, and the influence of climatic variation on grasslands biological heterogeneity. First, the importance of scale is examined by applying the semivariogram analysis on field collected hyperspectral and biophysical data. Results indicate that 15 - 20 m should be the appropriate resolution when variations of biological parameters and canopy reflectance are sampled. Therefore, it is reasonable to use RADARSAT-1, Landsat TM, and SPOT images, whose resolutions are around 20 m, to assess the variation of biological heterogeneity. Second, the efficiency of vegetation indices derived from SPOT 4 and Landsat 5 TM images in monitoring the northern mixed prairie health was examined using Pearsons correlation and stepwise regression analyses. Results show that the spectral curve of the grass canopy is similar to that of the bare soil with lower reflectance at each band. Therefore, vegetation indices are not necessarily better than reflectance at green and red wavelength regions in extracting biological information. Two new indices, combining reflectance from red and mid infrared wavelength regions, are proposed to measure biological parameters in the northern mixed prairie. Third, texture analysis was applied to quantify the biological variation in the grasslands. The textural parameters of RADARSAT imagery correlated highly with standard deviation of the field collected canopy parameters. Therefore, textural parameters can be applied to study the variations within the mixed prairie. Finally, the impacts of climatic variation on grassland heterogeneity at a long time scale were evaluated using Advanced Very High Resolution Radiometer (AVHRR) , Normalized Difference Vegetation Index (NDVI), Maximum Value Composite (MVC), and SPOT Vegetation NDVI MVC imagery from 1993 to 2004. A drought index based on precipitation data was used to represent soil moisture for the study area. It was found that changes of temperature and precipitation explain about 50% of the variation in AVHRR NDVI (i.e., temporal heterogeneity) of the northern mixed prairie. Trend line analysis indicates that the removal of grazing cattle carry multiple influences such as decreasing NDVI in some parts of the upland and valley grassland and increasing NDVI in the valley grassland. Results from this thesis are relevant for park management by adjusting grassland management strategies and monitoring the changes in community sizes. The other output of the thesis is furthering the remote sensing investigation of the mixed prairie based on information of the most appropriate resolution imagery.

No description available.

Recently developed models of the acid fracturing process have shown that the differential etching necessary to create lasting fracture conductivity is caused by the heterogeneous distributions of permeability and mineralogy along the fracture faces. To predict the conductivity that can be created by acid in a particular formation, the models require information about these formation properties. This research aims to quantify correlation lengths using a geostatistical description of small scale heterogeneity to ascertain the distribution of permeability and mineralogy in a carbonate formation. The correlation length parameters are a first step in being able to couple acid transport and rock dissolution models at reservoir scale with a model of fracture conductivity based on channels and roughness features caused by small scale heterogeneity. Geostatistical parameters of small scale heterogeneity affecting wells in the Hugoton Field are developed. Data leading to their derivation are obtained from a combination of well logs and cores. The permeability of slabbed core is measured to yield vertical correlation length. Well logs are used to estimate permeability via an empirical relationship between core plug permeability and well log data for calculation of horizontal correlation length. A fracture simulator computes the acid etched fracture width for known treatment conditions. The resulting geostatistical parameters and acid etched width are used to predict acid fracture performance for a well in the Hugoton Field. Application of new model conductivity correlations results in a unique prediction for the acid fracture case study that differs from the industry standard. Improvements in low cost stimulation treatments such as acid fracturing are the key to revitalizing production in mature carbonate reservoirs like the Hugoton Field. Planning and development of new wells in any carbonate formation necessarily must consider acid fracturing as a production stimulation technique. Reliable models that accurately predict acid fracture conductivity can be used to make an informed investment decision.

Minor actinides represent the long-term radiotoxicity of nuclear wastes. As one of their potential incineration options, partitioning and transmutation in fission reactors are seriously considered worldwide. If implemented, these technologies could also be a source of nuclear fuel materials required for sustainability of nuclear energy. The objective of this research was to evaluate performance characteristics of Very High Temperature Reactors (VHTRs) and their variations due to configuration adjustments targeting achievability of spectral variations. The development of realistic whole-core 3D VHTR models and their benchmarking against experimental data was an inherent part of the research effort. Although the performance analysis was primarily focused on prismatic core configurations, 3D pebble-bed core models were also created and analyzed. The whole-core 3D models representing the prismatic block and pebble-bed cores were created for use with the SCALE 5.0 code system. Each of the models required the Dancoff correction factor to be externally calculated. The code system DANCOFF-MCThe whole-core/system 3D models with multi-heterogeneity treatments were validated by the benchmark problems. Obtained results are in agreement with the available High Temperature Test Reactor data. Preliminary analyses of actinide-fueled VHTR configurations have indicated promising performance characteristics. Utilization of minor actinides as a fuel component would facilitate development of new fuel cycles and support sustainability of a fuel source for nuclear energy assuring future operation of Generation IV nuclear energy systems. was utilized to perform the Dancoff factor calculations.