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2024 — Beta-delayed proton emission of magnesium-20 and the RCMP silicon detector arrayAbstract
In 2011, experiment e09024 was performed in National Superconducting Cyclotron Laboratory(NSCl) located at Michigan State University from Michigan state. The goal was to investigate delayed particle emission for isotopes near proton drip line. The main secondary beam was ²²Si while other exotic beam such as ²⁰Mg,²²Al,²³Si was also produced. The delayed particle emission from ²⁰Mg is of particular interest in this thesis and has been studied in details. In 2018, Dr.Gwen Grinyer's group at University of Regina started constructing a Silicon Detector Array named Regina Cube for Multiple Particle(RCMP) used for studying delayed particles at proton drop line with high … Read more
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2015 — A Study of Cost-sensitive Attribute ReductsAbstract
An attribute reduct, that is, a minimal set of attributes with the same classi cation ability as that of the entire set of attributes, is an important concept in rough set analysis. There are di erent costs associated with attributes, such as money, time and other resources. Costs of an attribute reduct can be classi ed into two categories, namely, process cost and result cost for classi cations. An important task of rough set analysis is to obtain an attribute reduct with a minimal total cost. There are two types of costs. Many studies focus on only one type of … Read more
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2019 — Disaggregated Modeling of Environmental and Economic Systems of Supporting the Development of Greenhouse Gas Mitigation PoliciesAbstract
Global climate change has emerged as one of the most challenging environmental issues and has gained considerable attention worldwide. Greenhouse Gas (GHG) mitigation policies are needed to avoid the increasing risks of climate change on the environment, human health, and the economy. A wide variety of factors have an influence on the level of GHG emissions, and one of the most important factors is the production and consumption of energy. Energy systems have close relationships with a variety of economic and environmental activities. Therefore, to support effective GHG mitigation policy-making, advanced methodologies are needed to understand the entire system and … Read more
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2013 — Generalized Unified Approach to Regression Models with Covariates Missing in Nonmonotone PatternsAbstract
Complicated designs (eg. partially questionnaire design), which are often used in epidemiologic studies to reduce the cost of data collection while at the same time improving data quality, generate data with nonmonotone missing patterns. This thesis focuses on statistical inference for regression models with nonmonotone missing covariate data under some designs that generate nonmonotone missing data in covariates. Proposed methods in this scenario often depend on additional assumptions about covariates, for example, the covariates need to be categorical or follow a particular semiparametric joint distribution. This thesis describes a generalized unified estimation method for regression models with covariates missing in … Read more
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2019 — Incorporating Three-Way Email Spam Filtering With Game-Theoretic Rough SetsAbstract
Email spam filtering commonly is viewed as binary classification problem, that is, classifies incoming email messages into spam or non-spam email. But it has two main limitations. Firstly, binary classification needs people to make definite decisions that are hard. Secondly, binary classification leads to high misclassification rate. Decreasing rate of misclassifying legitimate email to spam may cause the increasing rate of misclassifying spam to legitimate email. Three-way email spam filtering can reduce the misclassification by dividing incoming email messages into three folders, i.e., a spam folder containing email messages which are junk, an inbox or a legitimate folder containing email … Read more
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2016 — Statistical Analyses of Gambling BehavioursAbstract
This study examines Casino players' monthly club data from January 2003 to January 2008 to investigate active players' gambling behaviours. Exploratory analysis is performed to study the change in players and gambling behaviours over time, and the di erences in gambling behaviours across gender and various age groups. Multiple linear regression models are built to investigate independent responses and generalized estimating equations (GEE) method is applied to analyze the longitudinal data. The results of this study indicate that females and older players have a propensity for spending more time in Casinos. Moreover, the more the members lose, the more they … Read more
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2020 — Multiple Linear Model Selection: A Data Study on the Ecological Controls on Methylmercury ProductionAbstract
Data on methylmercury (MeHg) concentrations and other environment parameters was collected between 2006 to 2012 from wetlands in the prairie pothole region in Saskatchewan by members of the Department of Biology, University of Regina. My research goal was to use the Backward Elimination model selection to develop the best fitted linear regression model to test the impact of seven environment variables on methylmercury concentration. Before analysis, I cleaned the whole data set and removed all missing values and transformed some variables such as methylmercury, sulfate, and conductivity. I compared linear regression model with two-way interactions and no interaction linear model. … Read more
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2023 — Statistical models in ecological and health economic dataAbstract
Different statistical models can be used interdisciplinary areas such as health studies, epidemiology, biology, etc., Traditional models can allow for analysis in different ways. Data on methylmercury (MeHg) concentrations and other environment parameters were collected between 2006 to 2012 from wetlands in the prairie pothole region in Saskatchewan by members of the Department of Biology, University of Regina. Data for health studies were collected from previous researchers (such as Endovascular Therapy Following Imaging Evaluation for Ischemic Stroke from Albers, G.W., et. al.). My research goal was to use statistical models to provide researchers in other fields with some ideas and … Read more
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2019 — Simultaneous Interpretation of Permeability and Capillary Pressure From Wireline Formation Testing MeasurementsAbstract
As for designing its appropriate development scheme, it is crucial to accurately determine petrophysical properties (e.g., absolute and relative permeability) of a hydrocarbon reservoir, both of which can be traditionally determined either by performing steady-state or unsteady-state experiments or by conducting conventional well tests. However, the laboratory method is time-consuming and its measurements may not be representative for the field-scale cases. Since the conventional well testing theories are based on single-phase flow, it is a challenging task to accurately obtain relative permeability for multiple phases in porous media. Alternatively, flow rates together with pressure responses collected from a wireline formation … Read more
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2019 — Predictive Modelling of Extreme Values in Unbalanced Panel DataAbstract
This thesis aims at predictive modelling of a two-sided, heavy-tailed data under a mixture model setting. A robust regression method is used to fit the main body, while the peaks-over-threshold method is employed to select the tails or the extreme events. Based on the extreme value theory, the tails are modelled with Pareto or exponential distributions. For the estimation of the tail distributions, the Bayesian maximum a posterior estimation (MAP) with conjugate priors is used to smooth the maximum likelihood estimates (MLEs). With regard to each of the two tail, the MAP approach leads to two optimization problems for the … Read more
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2019 — Development of Factorial Multi-Stage Programming Methods for Water resources Management Under UncertaintyAbstract
Rapid population growth and socio-economic development have caused increasing demands for water resources. In addition, issues of water scarcity and pollution are intensifying. The increasing scarcity of water could spark conflict among water users. It is increasingly important to develop rational and optimum water resources management strategies to support sustainable development at all levels – from national to regional. In water resources management systems, uncertainty exists in many system parameters, and the dynamic features of these systems create more challenges for such management. Therefore, making the best use of limited water resources is desired to facilitate sustainable regional development. In … Read more
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2016 — Classification of Subcategories in Abelian Categories and Triangulated CategoriesAbstract
Two approaches for classifying subcategories of a category are given. We examine the class of Serre subcategories in an abelian category as our first target, using the concepts of monoform objects and the associated atom spectrum [13]. Then we generalize this idea to give a classification of nullity classes in an abelian category, using premonoform objects instead to form a new spectrum so that there is a bijection between the collection of nullity classes and that of closed and extension closed subsets of the spectrum. Additionally, we impose a natural sheaf structure induced by the center of a category on … Read more
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2020 — Development of Functional Flax Fibers Through Self-Assembled Nanoparticles for Oil-Water SeparationAbstract
Oil-water separation has attracted extensive attention since frequent oil leakage incidents and oily-wastewater discharge caused serious disaster to the environment. Traditional separation technologies have difficulties in dealing with rapid and widespread oil spills and may cause secondary pollution. The use of oil barriers with special wettability is a promising alternative for separating oil from water. Natural materials, such as biomass have advantages of biological degradability, resource abundance, and low cost. In this study, environmentally friendly, reusable, and low-cost functionalized flax fibers were fabricated to separate oil from water. Flax fibers were modified by plasma-induced poly (acrylic acid) (PAA) polymerization followed … Read more
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2022 — Exploring Chinese instructors’ perceptions and practices of integrating culture into tertiary-level English education: A case studyAbstract
Pedagogical conceptualization of culture influences, in significant ways, how language instructors identify cultural points, contextualize culture for pedagogical purposes, and scaffold student meaning-making. Although this issue is at the core of intercultural pedagogy, literature suggests it remains insufficiently investigated. As a meaning-based and process-oriented study, this research aimed to develop an in-depth understanding of participants’ collective ways of conceptualizing culture within English language teaching (ELT), delineate the most salient features of their classroom meaning-making, and reveal the contextual factors that shaped the local perceptions and practices. This case study employed a qualitative research approach and explored twelve participants’ perceptions and … Read more
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2014 — Is English Really Necessary in French Immersion Classrooms: A Case StudyAbstract
This case study investigates how and why five French immersion teachers use English in a second language classroom and if other first languages are used or incorporated in the classroom. The teacher participants in this study are early French immersion teachers working in either a Grade 1 or Grade 2 classroom in a Catholic school division. Four of the teacher participants work in single-track French immersion school and one worked in a dual-track French immersion school. The data was collected via interviews, reflective journals and still photos of the participants’ classrooms. In brief, the findings of this study demonstrate that … Read more
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2020 — An Empirical Study on Sum-Product Networks Structure Learning and Deep Convolutional Sum-Product NetworksAbstract
Sum-product Networks (SPNs) are generative probabilistic models which obtained the attention of the community for its tractability and easy methods for learning. Our rst main contribution is an empirical comparison of methods for SPN learning and inference. LearnSPN is a popular algorithm for learning SPNs that utilizes chop and slice operations. As g-test is a standard chopping method and Gaussian mixture models (GMM) using expectation-maximization is a common slicing method, it seems to have been assumed in the literature that this is the best pair in LearnSPN. On the contrary, our results show that g-test for chopping and k-means for … Read more
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2023 — Saskatchewan fossils inform the timing and ecological evolution of extant arthropod lineagesAbstract
Questions remain regarding the evolutionary and ecological history of insects, in part due to their low potential for fossilization. There is a 16-million-year gap in the insect fossil record surrounding the Cretaceous-Paleogene (K-Pg) mass extinction (~66 Ma), a catastrophe that shaped the subsequent evolution of modern biotic communities. The rarity of insect fossils near the K-Pg boundary limits our understanding of how insect lineages were impacted by this event and latter half of the Angiosperm Terrestrial Revolution (100–50 Ma). Here, I report a diverse amber assemblage from the Late Cretaceous (67.04 ± 0.16 Ma) of the Big Muddy Badlands, Canada … Read more
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2017 — Humanist or Exclusivist? A Critical Analysis of The Commentary of Father Monserrate S.J. on His Journey to the Court of AkbarAbstract
On November 17, 1579, at the invitation of the Akbar, the Mughal emperor, three Jesuit missionaries set out from Goa on a journey that would lead them across much of the Indian subcontinent as they travelled to Fatehpur Sikri, the capital of the Mughal Empire. In true Jesuit form, the three missionaries produced copious writings during the mission, which included detailed journals and letters. Before the fathers departed, the Provincial superior of Goa had charged Father Antony Monserrate with keeping a comprehensive record of the mission. Between 1582 and 1590, Monserrate compiled his Commentary based on the notes that he … Read more