Genome-wide associated study (GWAS) aims to identify associated single nucleotide polymorphisms (SNP) for phenotypes. SNP has the characteristic that the number of SNPs is from hundred of thousands to millions. If p is the number of SNPs and n is the sample size, it is a p>>n variable selection problem. To solve this p>>n problem, the common method for GWAS is single marker analysis (SMA). However, since SNPs are highly correlated, SMA identifies true causal SNPs with high false discovery rate. In addition, SMA does not consider interaction between SNPs. In this dissertation, we propose novel Bayesian variable selection methods BG2 and IBG3 for non-Gaussian GWAS data. To solve ultra-high dimension problem and highly correlated SNPs problem, BG2 and IBG3 have two steps: screening step and fine-mapping step. In the screening step, BG2 and IBG3, like SMA method, only have one SNP in one model and screen to obtain a subset of most associated SNPs. In the fine-mapping step, BG2 and IBG3 consider all possible combinations of screened candidate SNPs to find the best model. Fine-mapping step helps to reduce false positives. In addition, IBG3 iterates these two steps to detect more SNPs with small effect size. In simulation studies, we compare our methods with SMA methods and fine-mapping methods. We also compare our methods with different priors for variables, including nonlocal prior, unit information prior, Zellner-g prior, and Zellner-Siow prior. Our methods are applied to substance use disorder (alcohol comsumption and cocaine dependence), human health (breast cancer), and plant science (the number of root-like structure). / Doctor of Philosophy / Genome-wide associated study (GWAS) aims to identify genomics variants for targeted phenotype, such as disease and trait. The genomics variants which we are interested in are single nucleotide polymorphisms (SNP). SNP is a substitution mutation in the DNA sequence. GWAS solves the problem that which SNP is associated with the phenotype. However, the number of possible SNPs is from hundred of thousands to millions. The common method for GWAS is called single marker analysis (SMA). SMA only considers one SNP's association with the phenotype each time. In this way, SMA does not have the problem which comes from the large number of SNPs and small sample size. However, SMA does not consider the interaction between SNPs. In addition, SNPs that are close to each other in the DNA sequance may highly correlated SNPs causing SMA to have high false discovery rate. To solve these problems, this dissertation proposes two variable selection methods (BG2 and IBG3) for non-Gaussian GWAS data. Compared with SMA methods, BG2 and IBG3 methods detect true causal SNPs with low false discovery rate. In addition, IBG3 can detect SNPs with small effect sizes. Our methods are applied to substance use disorder (alcohol comsumption and cocaine dependence), human health (breast cancer), and plant science (the number of root-like structure).

Employee performance evaluations have been subject to a lot of criticism and organizations are now leveraging artificial intelligence (AI) to enhance and maximize the efficiency and accuracy of these performance evaluations. Although organizations assume that AI-driven performance evaluation systems will enhance traditional performance evaluation systems, a growing body of research documents the phenomenon of algorithm aversion, the human tendency to discount algorithm/computer generated advice more heavily than human advice. Using an employee performance evaluation setting, I conduct an experiment to examine how managers will resolve differences between two contradictory judgments, their own judgment and an AI's judgment. I find that in addition to algorithm aversion and an individual's attitude towards technology, the performance evaluation measures (objective or subjective), and more importantly, the consequence of the decision on the employee strongly influenced the manager's reliance on AI. Specifically, managers resolved conflict between AI and their own decision by relying on decisions that were in the employee's favor. The study contributes to existing research on the adoption of AI and management accounting research.

An ever-expanding global industry focuses attention on energy supply and use. Cost-effective electrical energy production and reduced consumption pave the way for this expansion. Eskom’s demand-side management (DSM) initiative provides the opportunity for reduced electricity consumption with cost-effective implementation for their respective clients. South African gold mines have to extend their operations to up to 4000 m below the surface to maintain profitable operations. Deep-level mining therefore requires large and energy-intensive cooling installations to provide safe working conditions. These installations generally consist of industrial chillers, cooling towers, bulk air coolers and water transport systems. All of these components operate in unison to provide chilled service water and cooled ventilation air underground. In this study the improved energy efficiency and control of a South African gold mine’s cooling plant is investigated. The plant is separated into a primary and secondary cooling load, resulting in a cascading cooling system. Necessary research was conducted to determine the optimal solution to improve the plant’s performance and electrical energy usage. Variable speed drives (VSD) were installed on the chiller evaporator and condenser water pumps to provide variable flow control of the water through the chillers, resulting in reduced motor electricity usage. Potential electricity savings were simulated. Proposed savings were estimated at 600 kW (13.6%) daily, with an expected saving of R 2 275 000 yearly, resulting in a payback period of less than 9 months. Results indicated are based on total savings, as VSD savings and control savings were combined. The VSDs that were installed, were controlled according to an optimum simulation model’s philosophy. A real-time energy management program was used to control the VSDs and monitor the respective systems. The program’s remote capabilities allow for off-site monitoring and control adjustments. A control strategy, which was implemented using the management program, is discussed. Energy efficiency was achieved through the respective installations and control improvements. The results were analysed over an assessment period of three months to determine the viability of the intervention. A newly installed Bulk Air Cooler (BAC) added to the service delivery of the cooling plant post installation of the VSDs. Focusing on service delivery to underground showed a savings of 1.7 MW (33.6%) daily and a payback period of 3.6 months (0.3 years). The overall implementation showed an average energy saving of 2.3 MW (47.1%) daily, with the result that a daily saving of R 23 988.20 was experienced, reducing the payback period to 2.3 months (0.2 years). Through the installation of energy-efficiency technology and a suitable control philosophy, a cost-effective, energy-efficiency improvement was created on the case-study cooling plant. / MIng (Mechanical Engineering), North-West University, Potchefstroom Campus, 2014

An ever-expanding global industry focuses attention on energy supply and use. Cost-effective electrical energy production and reduced consumption pave the way for this expansion. Eskom’s demand-side management (DSM) initiative provides the opportunity for reduced electricity consumption with cost-effective implementation for their respective clients. South African gold mines have to extend their operations to up to 4000 m below the surface to maintain profitable operations. Deep-level mining therefore requires large and energy-intensive cooling installations to provide safe working conditions. These installations generally consist of industrial chillers, cooling towers, bulk air coolers and water transport systems. All of these components operate in unison to provide chilled service water and cooled ventilation air underground. In this study the improved energy efficiency and control of a South African gold mine’s cooling plant is investigated. The plant is separated into a primary and secondary cooling load, resulting in a cascading cooling system. Necessary research was conducted to determine the optimal solution to improve the plant’s performance and electrical energy usage. Variable speed drives (VSD) were installed on the chiller evaporator and condenser water pumps to provide variable flow control of the water through the chillers, resulting in reduced motor electricity usage. Potential electricity savings were simulated. Proposed savings were estimated at 600 kW (13.6%) daily, with an expected saving of R 2 275 000 yearly, resulting in a payback period of less than 9 months. Results indicated are based on total savings, as VSD savings and control savings were combined. The VSDs that were installed, were controlled according to an optimum simulation model’s philosophy. A real-time energy management program was used to control the VSDs and monitor the respective systems. The program’s remote capabilities allow for off-site monitoring and control adjustments. A control strategy, which was implemented using the management program, is discussed. Energy efficiency was achieved through the respective installations and control improvements. The results were analysed over an assessment period of three months to determine the viability of the intervention. A newly installed Bulk Air Cooler (BAC) added to the service delivery of the cooling plant post installation of the VSDs. Focusing on service delivery to underground showed a savings of 1.7 MW (33.6%) daily and a payback period of 3.6 months (0.3 years). The overall implementation showed an average energy saving of 2.3 MW (47.1%) daily, with the result that a daily saving of R 23 988.20 was experienced, reducing the payback period to 2.3 months (0.2 years). Through the installation of energy-efficiency technology and a suitable control philosophy, a cost-effective, energy-efficiency improvement was created on the case-study cooling plant. / MIng (Mechanical Engineering), North-West University, Potchefstroom Campus, 2014

This paper describes a novel concept for a low cost variable delivery external gear pump (VD-EGP). The proposed VD-EGP is based on the realization of a variable timing for the connections of the internal displacement chambers with the inlet and outlet ports. With respect to a standard EGP, an additional element (slider) is used along with asymmetric gears to realize the variable timing principle. Previously performed tests confirmed the validity of the concept, for a design capable of varing the flow in the 65%-100% range. Although the VD-EGP concept is suitable for various flow control system typologies (manual, electro-actuated, hydraulically flow- or pressure- compensated), this paper particularly details the design and the test results for a prototype that includes both a manual flow control system and a pressure compensator. Flow vs pressure and volumetric efficiency curves are discussed along with transient (outlet flow fluctuation) features of the VD-EGP.

Hydrogen bonds are of great interest in the solid state due to their importance in structural, functional and dynamical properties of chemical systems. Moderate hydrogen bonds have been linked with proton transfer, whereas the short, strong hydrogen bonds enable proton migration. Previous work in our group on relatively simple hydrogen bonded adducts relied on the combination of ab initio computational modelling (molecular dynamics) with variable temperature diffraction results (X-ray and neutron). These demonstrated that the interplay of these techniques was successful in studying the phenomena of proton transfer and migration. The present work follows on from that, and focuses on the effects of temperature and pressure on proton transfer and migration using both experimental and computational methods. The systems studied continue to encapsulate adducts with N…O and O…O hydrogen bonds. The study of the adduct formed between squaric acid and 4,4’-bipyridine was found to exhibit proton transfer associated with a single-crystal to single-crystal phase transition at 450 K that is coupled to a colour change (yellow to red). X-ray and neutron diffraction initially revealed the heavy atom structure and secondly the location of the hydrogen atoms along the moderate N…O hydrogen bond (ca. 2.6 Å). Computational modelling supported this and deduced the reason for the striking colour change. Pressure studies also determined that the adduct underwent two phase-transitions with a similar colour change, indicating that proton transfer is also a factor here, but with powder patterns different from the high temperature form, indicating that further polymorphs for this interesting system must exist. In an attempt to lower the temperature at which proton transfer would occur the base was changed to one of a more basic nature, i.e. co-crystallisation of squaric acid and 2,2’-dimethyl–4,4’-bipyridine was pursued. This lead to the formation of two red crystals that were found to posses the base doubly protonated at all temperatures studied (from 300 K to 100 K). The adduct of N,N-dimethylurea with phosphoric acid was obtained from a systematic study designed to follow the success of a previously reported system that showed proton migration (the adduct of urea and phosphoric acid). The new material was found to crystallise as the 2:1 adduct and maintained the short, strong hydrogen bonds characteristic of the parent structure. As part of the systematic approach undertaken throughout the research presented here, co-crystallisation of a combination of acids and bases were attempted in order to synthesise new materials containing short, strong hydrogen bonds. These yielded the adducts between oxalic acid and 2,2’-dimethyl-4,4’-bipyridine, and oxamic acid and 4,4’-bipyridine. In addition to these adducts some compounds ended up reacting to create new ones, e.g. the fusing of dimethyl urea and squaric acid to give N-(2-hydroxycyclobutene-3,4-dione)-N’,N’-dimethylurea and N-(2- hydroxycyclobutene-3,4-dione)-N,N'-dimethylurea, while a new polymorphs of one of the precursors on its own was also obtained (N,N’-dimethylurea). The resulting co-crystallisations did not all follow the design quite as intended. They did, however, yield interesting new structures, some of which have the potential to be proton migration and transfer systems.

Mémoire numérisé par la Direction des bibliothèques de l'Université de Montréal.

In this thesis there is a set of waste disposal facilities, a set of customers at which waste is collected and an unlimited number of homogeneous vehicles based at a single depot. Empty vehicles leave the depot and collect waste from customers, emptying themselves at the waste disposal facilities as and when necessary. Vehicles return to the depot empty. We take into consideration time windows associated with customers, disposal facilities and the depot. We also have a driver rest period. The problem is solved heuristically. A neighbour set is defined for each customer as the set of customers that are close, but with compatible time windows. This thesis uses six different procedures to obtain initial solutions for the problem. Then, the initial solutions from these procedures are improved in terms of the distance travelled using our phase 1 and phase 2 procedures, whereas we reduce the number of vehicles used using our vehicle reduction (VR) procedure. In a further attempt to improve the solutions three metaheuristic algorithms are presented, namely tabu search (TS), variable neighbourhood search (VNS) and variable neighbourhood tabu search (VNTS). Moreover, we present a modified disposal facility positioning (DFP), reverse order and change tracking procedures. Using all these procedures presented in the thesis, four solution procedures are reported for the two benchmark problem sets, namely waste collection vehicle routing problems with time windows (VRPTW) and multi-depot vehicle routing problem with inter-depot routes (MDVRPI). Our solutions for the waste collection VRPTW problems are compared with the solutions from Kim et al (2006), and our solutions for the MDVRPI problems are compared with Crevier et al (2007). Computational results for the waste collection VRPTW problems indicate that our algorithms produce better quality solutions than Kim et al (2006) in terms of both distance travelled and number of vehicles used. However for the MDVRPI problems, solutions from Crevier et al (2007) outperform our solutions.

L'objectif de cette thèse est de démontrer comment faire une analyse théorique de fatigue et de mécanique de la rupture d'une structure éolienne à l'axe horizontal. La chaîne des calculs nécessaires pour atteindre cet objectif s'avère être particulièrement longue pour deux raisons : d'abord, la vitesse du vent varie aléatoirement avec le temps ; deuxièmement, l'amplitude de vibration du mât est amplifié en raison des ses fréquences naturelles de vibration. Un chapitre entier est consacré à la modélisation de la vitesse du vent dans l'espace et dans le temps. Ce même chapitre démontre comment synthétiser un signal aléatoire à partir d'une fonction de densité spectrale de puissance (DSP). La force axiale du rotor est le chargement le plus important sur une structure éolienne à l'axe horizontal. Cette force a un rapport non linéaire avec la vitesse du vent. Cela implique la nécessité de déterminer la DSP de la force axiale à partir de son signal, en se servant d'une technique d'estimation spectrale. La méthode Thomson Multitaper s'est avéré la plus satisfaisante pour cette application. La DSP des déplacements du mât est déterminée en associant la réceptance du système structurel avec la DSP de la force qui représente tous les chargements. Un signal de contrainte peut finalement être synthétisé à partir de sa DSP. La technique de comptage de cycles de chargement connue sous le nom de rainflow est abordée et appliquée. Le fait que le signal de contraintes a une amplitude variable implique la nécessité d'employer une technique plus avancée de simulation de propagation de fissures. La technique choisie pour cette thèse est connue sous le nom de strip-yield (bande d'écoulement). / The objective of this thesis is to demonstrate how to do theoretical analyses of fatigue and fracture mechanics in a structure for horizontal axis wind turbine. The chain of calculations required to reach this objective is particularly long for two reasons : firstly, the wind speed varies randomly with time , secondly, the vibration amplitude of the mast is amplified due to its natural frequencies of vibration. A whole chapter is dedicated to modeling the wind speed in space and time. The same chapter shows how to synthesize a random signal by employing a power spectral density function (PSD). The axial force of the rotor is the most important loading on a structure for horizontal axis wind turbine. This force has a non linear relation with the wind speed. This implies the need to determine the PSD of the axial force from its signal, by employing a spectral estimation method. The Thomson Multitaper method revealed to be the most satisfactory for this application. The PSD of displacement of the mast is determined by associating the receptance of the structural system and the PSD of the force representing all loadings. Finally, a signal of stress can be synthesized from its PSD. The fatigue cycle counting method known as rainflow is discussed and employed. The fact that the signal of stress has a variable amplitude implies the need of a more sophisticated method to simulate a crack propagation. The method chosen in this thesis is called strip-yield.

Rolf Nevanlinna, matemático finlandés (1895-1980), fue reconocido por sus trabajos en el campo de las funciones de variable compleja. Su trabajo más significativo estuvo relacionado con la teoría de la distribución de los valores de las funciones meromorfas, donde probó los dos teoremas que llevan su nombre, con importantes consecuencias en dicha teoría. Es conocido que la resolución de ciertos problemas teóricos y prácticos dependen a veces del comportamiento de las raíces de la ecuación f(z) = a; donde f(z) es una función entera o meromorfa y a es un valor complejo. Por ende es de vital importancia investigar el número n(r; f = a) de las raíces de la ecuación anterior y su distribución en el disco DR, cada raíz será contada de acuerdo a su multiplicidad. En el último siglo, el famoso matemático E. Picard obtuvo un resultado importante: toda función entera no constante f(z) toma cada valor complejo infinitas veces, con la posible excepción de un valor. Después, E. Borel introdujo el concepto de orden de una función entera y otros matemáticos profundizaron el teorema de Picard, como el teorema grande de Picard y el teorema de Picard-Borel. Estos resultados tenían limitaciones importantes, por ejemplo trataban solamente el caso de funciones enteras, es decir no consideraban funciones meromorfas y por otro lado se imponía la restricción de que fueran funciones de orden finito. La teoría de distribución de valores tiene significativas aplicaciones, por ejemplo a las ecuaciones diferenciales complejas. Finalmente indicamos que a lo largo del tiempo se han desarrollado métodos diferentes para demostrar los resultados de Nevanlinna, pero en este trabajo se ha seguido los resultados originales en muchos casos de esta teoría. / Tesis