Doctor of Philosophy / Department of Industrial & Manufacturing Systems Engineering / Zhijian Pei / Donghai Wang / In the U.S. and many other countries, the transportation sector is almost entirely dependent on petroleum-based fuels. In 2011, half of the petroleum used in the U.S. was imported. The dependence on foreign petroleum is a real threat to national energy security. Furthermore, the transportation sector is responsible for about 30% of U.S. greenhouse gas emissions and is growing faster than any other major economic sector. National energy security, economy, environment sustainability are all driving the U.S. to develop alternative liquid transportation fuels that are domestically produced and environmentally friendly. Promoting biofuel is one of the efforts to reduce the use of petroleum-based fuels in the transportation sector. Cellulosic biomass are abundant and diverse. Thus, the ability to produce biofuel from cellulosic biomass will be a key to making ethanol competitive with petroleum-based fuels. Ultrasonic vibration- assisted (UV-A) pelleting can increase not only the density of cellulosic biomass but also the sugar yield. This PhD dissertation consists of fourteen chapters. Firstly, an introduction of the research is given in Chapter 1. Chapters 2, 3, 4, and 5 present experimental investigations on effects of input variables in UV-A pelleting on pellet quality. Chapter 6 investigates effects of input variables on energy consumption in UV-A pelleting. Chapter 7 develops a predictive model for energy consumption in UV-A pelleting using the response surface method. Chapter 8 investigates effects of input variables on energy consumption, water usage, sugar yield, and pretreatment energy efficiency in dilute acid pretreatment. Chapter 9 develops a predictive model for energy consumption in dilute acid pretreatment using the response surface method. Chapter 10 studies ultrasonic vibration-assisted (UV-A) dilute acid pretreatment of poplar wood for biofuel manufacturing. Chapter 11 compares sugar yields in terms of total sugar yield and enzymatic hydrolysis sugar yield between two kinds of materials: pellets processed by UV-A pelleting and biomass not processed by UV-A pelleting in terms of total sugar yield and enzymatic hydrolysis sugar yield. Chapter 12 develops a physics-based temperature model to predict temperature in UV-A pelleting. Chapter 13 develops a physics-based density model to predict pellet density in UV-A pelleting. Finally, conclusions and contributions of this research are summarized in Chapter 14.

Typescript (Photocopy). / Digitized by Kansas Correctional Industries

Call number: LD2668 .T4 1962 F64

Background Elevated concentrations of low-density lipoprotein cholesterol (LDL-c) are a major risk factor for the development of coronary artery disease (CAD) because of their role in the progression of atherosclerosis. The black South African population is known to have had historically low LDL-c and in the past there was almost no CAD in the population. However, as this population moves through the nutrition transition, LDL-c levels are increasing. LDL-c levels are regulated by the LDL receptors, which is the major protein involved with transporting cholesterol across cell membranes in humans. Proprotein convertase subtilisinlike/kexin type 9 (PCSK9) is another protein involved with the regulation of LDL-c through its role in assisting with the degradation of the LDL receptor. Variants in both genes can cause elevated or lowered LDL-c levels. Very little information is available on the frequency or presence of variants in the low-density lipoprotein receptor (LDLR) and PCSK9 gene in the black South African population and on how these variants associate with LDL-c. The main aim of the study was thus to determine novel and existing genetic variants in these two genes and to describe the manner in which they associate with plasma LDL-c levels in a black South African population undergoing an epidemiological transition. Methods The 2005 baseline data from the Prospective Urban and Rural (PURE) study population were used in this study. The study population consisted of apparently healthy black volunteers form the North West province of South Africa, aged 35 to 60 years. Thirty individuals were randomly chosen from the 1860 volunteers to determine the presence of known and novel variants in these genes by automated bidirectional sequencing. The promoter region, exons and flanking regions were sequenced and variants were identified utilising CLC DNA Workbench. Deoxyribonucleic acid (DNA) samples for 1500 individuals of the PURE study population were genotyped by means of a Golden Gate Genotyping Assay. Analyses of covariance (ANCOVA) were used to test for associations between the different genotypes in both the LDLR and PCSK9 genes and LDL-c levels. Haplotypes were generated by using the confidence intervals on the software programme, HaploView. A genetic risk score (GRS) was determined by including variants which associated significantly with LDL-c. The GRS, the haplotypes and the variants that associated significantly with LDL-c were used in separate linear regression models with variants which correlated with LDL-c to determine how all these variables contribute to the differences in LDL-c levels. Results and discussion Novel and known variants were identified in both the genes and in total 52 variants were genotyped. Rare variants such as rs17249141 and rs28362286 were detected in the study population and are associated with low levels of LDL-c. The variants identified in the LDLR gene were situated largely in regulatory regions such as the promoter, intron and 3‟untranslated regions. Haplotypes in the LDLR gene with the highest frequency associated with lower LDL-c levels, which could contribute to the study population‟s low mean LDL-c level. Haplotypes identified in the PCSK9 gene had a weaker association with LDL-c levels. The minor allele frequencies of many of the variants differed from those of the European population and therefore the importance of population-specific research cannot be sufficiently emphasised. The GRS, haplotypes and variants used in the regression models to determine whether they contributed to predicting the variance in LDL-c in the study population made a small contribution to explaining this. BMI best explained the variance in LDL-c levels. Older women with a body mass index (BMI)>25kg/m2 were identified as being at greater risk of developing elevated LDL-c levels than the rest of the study population. Heterozygote carriers of variant, rs28362286, had 0.787 mmol/L lower LDL-c than carriers of the wild type and this is associated with a reduced risk of developing CAD. Conclusion and recommendation When considering the results mentioned above, adding genetic analysis to explaining the variance in LDL-c levels seems to have its limitations, but the study included only two of many genes that play a role in the metabolism and regulation of LDL-c levels. Incorporating more genes and more variants into analyses and prediction models will add greater value to defining LDL-c levels. Rarer variants with a large impact on protein function, such as rs28362286, have a greater effect on LDL-c levels and could predict the variance better than the common variants. Risk factors such as BMI can also still be trusted to indicate which individuals or groups are at risk of developing elevated LDL-c levels. Health advice should be given to appropriate target groups such as older women with a BMI >25kg/m2 in order to prevent CAD from becoming a burden in this population. / PhD (Dietetics), North-West University, Potchefstroom Campus, 2014

Bird populations are changing at unprecedented rates in response to human-induced changes to the global environment, and these rates of change are expected to accelerate over the coming decades. Changes in the levels of sulphur dioxide (SO2) in the atmosphere through emissions from power stations pose a potential threat to bird populations. However, avian response to SO2 pollution is poorly understood. Exploring the relationship between avian diversity and SO2 exposure levels will help in determining species sensitive to air pollution. This study seeks to understand the interactions between avian diversity and SO2 concentration levels around Matimba power station so as to have more insight on the level of avian vulnerability to air pollution. Matimba is an important site in South Africa as a second coal fired power station, Medupi, is currently being constructed with additional stations also a possibility. This study represents an important baseline assessment of the avian population status before the additional pollution burden is realised from Medupi. Ten min repeated point counts were conducted at three sample sites with varying distances from Matimba and Medupi power stations. These counts were used to calculate bird species density and diversity. Cloud-free Landsat 8 imagery acquired on 7 January, 2014 was used to derive habitat structure and productivity variables. Elevation variables were derived using a DEM (Digital Elevation Model) obtained from NASA Global Data Explorer. The AERMOD dispersion model was used to characterise spatio-temporal variations in ambient SO2 concentrations around Matimba power station. Multiple regression analysis was then used to ascertain which of these variables (SO2, habitat structure, productivity and terrain) contribute most to the observed variation in bird species density and diversity around Matimba and Medupi power stations. SO2 polluted air did not have an influence on bird species density and diversity at the community level. At species level two species (Batis molitor and Streptopelia senegalensis) exhibited some measure of negative response to SO2 air pollution. However, after further investigation using multiple regression analysis it was revealed that habitat structure had more influence on the density of these two species compared with ambient SO2 concentrations. Bird species density and diversity varied significantly among the sample sites but were not related to the distance to the source of the SO2 air pollution. Evidence obtained from this study revealed that continuous monitoring of the interactions between SO2 polluted air and bird populations is recommended for a more comprehensive understanding of avian susceptibility towards SO2 air pollution and this will also facilitate in the selection of sensitive and relevant species for future ecology studies at other coal-fired power stations. Furthermore, it is expected that SO2 concentrations will significantly increase with the commissioning of Medupi power station thus further necessitating the need for continuous monitoring of bird species densities around Matimba and Medupi power stations. / MSc (Geography and Environmental Management), North-West University, Potchefstroom Campus, 2015

Background Elevated concentrations of low-density lipoprotein cholesterol (LDL-c) are a major risk factor for the development of coronary artery disease (CAD) because of their role in the progression of atherosclerosis. The black South African population is known to have had historically low LDL-c and in the past there was almost no CAD in the population. However, as this population moves through the nutrition transition, LDL-c levels are increasing. LDL-c levels are regulated by the LDL receptors, which is the major protein involved with transporting cholesterol across cell membranes in humans. Proprotein convertase subtilisinlike/kexin type 9 (PCSK9) is another protein involved with the regulation of LDL-c through its role in assisting with the degradation of the LDL receptor. Variants in both genes can cause elevated or lowered LDL-c levels. Very little information is available on the frequency or presence of variants in the low-density lipoprotein receptor (LDLR) and PCSK9 gene in the black South African population and on how these variants associate with LDL-c. The main aim of the study was thus to determine novel and existing genetic variants in these two genes and to describe the manner in which they associate with plasma LDL-c levels in a black South African population undergoing an epidemiological transition. Methods The 2005 baseline data from the Prospective Urban and Rural (PURE) study population were used in this study. The study population consisted of apparently healthy black volunteers form the North West province of South Africa, aged 35 to 60 years. Thirty individuals were randomly chosen from the 1860 volunteers to determine the presence of known and novel variants in these genes by automated bidirectional sequencing. The promoter region, exons and flanking regions were sequenced and variants were identified utilising CLC DNA Workbench. Deoxyribonucleic acid (DNA) samples for 1500 individuals of the PURE study population were genotyped by means of a Golden Gate Genotyping Assay. Analyses of covariance (ANCOVA) were used to test for associations between the different genotypes in both the LDLR and PCSK9 genes and LDL-c levels. Haplotypes were generated by using the confidence intervals on the software programme, HaploView. A genetic risk score (GRS) was determined by including variants which associated significantly with LDL-c. The GRS, the haplotypes and the variants that associated significantly with LDL-c were used in separate linear regression models with variants which correlated with LDL-c to determine how all these variables contribute to the differences in LDL-c levels. Results and discussion Novel and known variants were identified in both the genes and in total 52 variants were genotyped. Rare variants such as rs17249141 and rs28362286 were detected in the study population and are associated with low levels of LDL-c. The variants identified in the LDLR gene were situated largely in regulatory regions such as the promoter, intron and 3‟untranslated regions. Haplotypes in the LDLR gene with the highest frequency associated with lower LDL-c levels, which could contribute to the study population‟s low mean LDL-c level. Haplotypes identified in the PCSK9 gene had a weaker association with LDL-c levels. The minor allele frequencies of many of the variants differed from those of the European population and therefore the importance of population-specific research cannot be sufficiently emphasised. The GRS, haplotypes and variants used in the regression models to determine whether they contributed to predicting the variance in LDL-c in the study population made a small contribution to explaining this. BMI best explained the variance in LDL-c levels. Older women with a body mass index (BMI)>25kg/m2 were identified as being at greater risk of developing elevated LDL-c levels than the rest of the study population. Heterozygote carriers of variant, rs28362286, had 0.787 mmol/L lower LDL-c than carriers of the wild type and this is associated with a reduced risk of developing CAD. Conclusion and recommendation When considering the results mentioned above, adding genetic analysis to explaining the variance in LDL-c levels seems to have its limitations, but the study included only two of many genes that play a role in the metabolism and regulation of LDL-c levels. Incorporating more genes and more variants into analyses and prediction models will add greater value to defining LDL-c levels. Rarer variants with a large impact on protein function, such as rs28362286, have a greater effect on LDL-c levels and could predict the variance better than the common variants. Risk factors such as BMI can also still be trusted to indicate which individuals or groups are at risk of developing elevated LDL-c levels. Health advice should be given to appropriate target groups such as older women with a BMI >25kg/m2 in order to prevent CAD from becoming a burden in this population. / PhD (Dietetics), North-West University, Potchefstroom Campus, 2014

Bird populations are changing at unprecedented rates in response to human-induced changes to the global environment, and these rates of change are expected to accelerate over the coming decades. Changes in the levels of sulphur dioxide (SO2) in the atmosphere through emissions from power stations pose a potential threat to bird populations. However, avian response to SO2 pollution is poorly understood. Exploring the relationship between avian diversity and SO2 exposure levels will help in determining species sensitive to air pollution. This study seeks to understand the interactions between avian diversity and SO2 concentration levels around Matimba power station so as to have more insight on the level of avian vulnerability to air pollution. Matimba is an important site in South Africa as a second coal fired power station, Medupi, is currently being constructed with additional stations also a possibility. This study represents an important baseline assessment of the avian population status before the additional pollution burden is realised from Medupi. Ten min repeated point counts were conducted at three sample sites with varying distances from Matimba and Medupi power stations. These counts were used to calculate bird species density and diversity. Cloud-free Landsat 8 imagery acquired on 7 January, 2014 was used to derive habitat structure and productivity variables. Elevation variables were derived using a DEM (Digital Elevation Model) obtained from NASA Global Data Explorer. The AERMOD dispersion model was used to characterise spatio-temporal variations in ambient SO2 concentrations around Matimba power station. Multiple regression analysis was then used to ascertain which of these variables (SO2, habitat structure, productivity and terrain) contribute most to the observed variation in bird species density and diversity around Matimba and Medupi power stations. SO2 polluted air did not have an influence on bird species density and diversity at the community level. At species level two species (Batis molitor and Streptopelia senegalensis) exhibited some measure of negative response to SO2 air pollution. However, after further investigation using multiple regression analysis it was revealed that habitat structure had more influence on the density of these two species compared with ambient SO2 concentrations. Bird species density and diversity varied significantly among the sample sites but were not related to the distance to the source of the SO2 air pollution. Evidence obtained from this study revealed that continuous monitoring of the interactions between SO2 polluted air and bird populations is recommended for a more comprehensive understanding of avian susceptibility towards SO2 air pollution and this will also facilitate in the selection of sensitive and relevant species for future ecology studies at other coal-fired power stations. Furthermore, it is expected that SO2 concentrations will significantly increase with the commissioning of Medupi power station thus further necessitating the need for continuous monitoring of bird species densities around Matimba and Medupi power stations. / MSc (Geography and Environmental Management), North-West University, Potchefstroom Campus, 2015

Master of Science / Department of Physics / Christopher M. Sorensen / This work emphasizes advancements in Aerosol Gelation. We have attempted to expand the available materials used to synthesize Aerosol Gels by moving away from gas phase precursors toward liquid phase precursors and eventually reactants in the solid phase. The primary challenge was to efficiently administer the liquid fuels into the detonation chamber. After several attempts, it was concluded that the most efficient delivery technique was to heat the liquid fuel past the vapor point and evaporate it into the oxidizing gas for combustion. This method consistently yields soot with a density of 3.2 mg/cc approximately 10 minutes after the combustion. It was concluded that four criterion must be met to create an Aerosol Gel from a liquid: 1. The liquid must be as finely divided as possible 2. The energy of the spark must be large enough to cause a sustainable combustion 3. The fuel must have a Lower Explosive Limit above the necessary concentration to meet a volume fraction of 10[superscript]4 4. The fuel must have a relatively low boiling point

A Thesis submitted to The University of Arizona College of Medicine - Phoenix in partial fulfillment of the requirements for the Degree of Doctor of Medicine. / Previous studies suggest that dietary patterns that promote acidosis may have a negative effect on bone density, whereas a more alkaline‐based profile would be associated with better bone health. Thus, the aim of this study was to assess, in omnivores, vegetarians, and vegans bone mineral density using Dual‐energy X‐ray absorptiometry (DEXA) and compare it to their acid‐base status as indicated by urinary pH, Potential Renal Acid Load (PRAL) and serum anion gap. Our hypothesis was that plant‐based diets would be associated with a more alkaline acid‐base profile than omnivorous diets, and thus have a higher bone mineral density. Methods: We conducted a cross‐sectional study where we compared plant based vs. omnivorous diets. Eighty‐two subjects were enrolled in the study (27 omnivores, 27 vegetarians, and 28 vegans). Subjects were asked to fill out a medical history form and a 24‐ hour diet recall, and to complete a 24‐hour urine collection. After a few weeks, subjects returned to the test site to complete a DEXA scan. Acid base‐balance and bone health were determined using PRAL, urine pH, and anion gap as biomarkers for pH, and DEXA as an indicator of bone density. Our results showed that bone mineral density did not differ significantly between groups, although lacto‐ovo and vegan diets were more alkaline compared to meat based diets (6.5  0.4, 6.7  0.4, and 6.2  0.4 pH respectively, p = 0.003). Protein intake was found to be reduced by ~30% in individuals adhering to a lacto‐ovarian or vegan diet; yet protein was only associated with bone mineral density in those following vegan diets. Conversely, urinary pH was associated with bone mineral density only in those following a meat‐based diet. The significance of this study is that it provides knowledge in the area of osteoporosis prevention and perhaps specific recommendations based on diet groups: increased fruit and vegetable intake for those with high meat consumption, to improve the acid‐base homeostasis, and increased plant protein intake for individuals who follow a plant-based diet.

Declining union density rates have been and continue to be an ongoing issue and worry around the world. In Sweden, union density remains high in comparison to other countries, although not an exception to the declining rates which have largely encompassed young workers. The objective of this study is to research two phenomena that have been identified as influences surrounding why young workers do not become unionised. The research questions are 1. Can individualistic attitudes be linked to the decline in union density among young workers, if so how? and 2. Can employer resistance towards trade unionism be linked to the decline in union density among young workers, if so how?.There are substantial amounts of quantitative research devoted to trying to understand the decline, which motivated writing a report with a qualitative approach. Focus was put on the thoughts and views of six young individuals who are all involved with three Swedish trade unions, HRF, Handels and Seko. The results of the study revealed that both individualistic attitudes and employer resistance can be linked to declining union density rates among youths. Individualistic attitudes were analysed alongside Allvin and Sverke’s theories on the ‘era of individualisation’, which includes declining preparedness to participate in collective movements, the belief in the efficacy of the self and autonomous attitudes towards institutions. Individualistic attitudes that were conferred in the interviews revolved around matters such as young workers not being able to identify themselves with trade unions and their officials. Employer resistance methods were discussed in line with, among others, Brulin’s theory on the work place as a political arena, where employers and trade unions battle for the loyalty of the employees. Resistance towards trade unions seem to appear in various forms and different methods are used in order to obstruct individuals from becoming or remaining unionised. This includes subtle threats and ostracism from managers and co-workers and unmotivated changes of rosters.