Liste complète
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2022 — Active eavesdroppers detection system in multi-hop wireless sensor networksRésumé
Wireless Sensor Networks (WSNs) are vulnerable to eavesdropping attacks that endanger their privacy, confidentiality, and authenticity. As the broadcast nature of the wireless channel makes it susceptible to eavesdropping by adversaries, the detection of eavesdroppers in wireless networks can lessen the chances of more damaging attacks. Historically, researchers have attempted to reduce the risk of covert eavesdropping through the use of cryptographic protocols, information-theoretic solutions, and transmission range control. These methods are not suitable for WSNs with resource constraints. It is noteworthy that active eavesdroppers are legitimate nodes that are compromised by adversaries to eavesdrop on traffic while performing their … Lire la suite
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2022 — Rationing desire: Canadian sugar rationing in Second World War advertisingRésumé
Through a study of advertisements in the English Canadian press between 1939 and 1947, this thesis explores Canada’s Second World War sugar ration program. Canadian Second World War coupon rationing began with sugar, and Canadian advertisers referenced sugar rations regularly to sell a variety of consumer goods. This thesis argues that advertisers approached the subject of sugar rationing through eight advertising strategies throughout the Second World War and in the immediate postwar years. By portraying sugar and sugar rations in creative ways, advertisers were able to maintain relevancy and even increase sales in some circumstances. Lire la suite
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2022 — Modeling of municipal waste disposal behaviors related to meteorological and astronomical seasons using recurrent neural network modelsRésumé
The literature suggests that Long Short-Term Memory (LSTM) paired with recurrent neural network (RNN) can better express long- and short-term reliance of a data set. Study one quantifies mixed waste disposal (MWD) behaviors at a Canadian landfill from 2013 to 2021, and develop separate RNN-LSTM models to predict MWD rates under four meteorological seasons. Seasonal variations are clearly presented in the historical disposal data, with higher MWD of 417.8 tonnes/month in summer and about 289.7 tonnes/month in winter. The variabilities of MWD are also different among the seasons. Winter experienced the least variation, probably due to similarities in inhabitants’ lifestyles. … Lire la suite
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2022 — Mental and Physical Health of Adolescents During the Early Months of COVID-induced Restrictions: A Pilot StudyRésumé
COVID-induced restrictions may have detrimental effects on the mental and physical health of adolescents, a critical period of rapid growth in both these domains. The purpose of the present study was to assess mental (stress, social isolation) and physical (physical activity, sedentary and screen time, dietary and sleeping patterns) health of youth in grades 7-12 in the Regina and Greater Regina area during the early months (March – August 2020) of the COVID- 19 pandemic and associated restrictions, as well as perceptions of remote learning (March-June 2020) and return to in-person school in September 2020. The study used a cross-sectional … Lire la suite
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2022 — Effectiveness of Saskatchewan Government Insurance 2014 Traffic Safety Initiatives on Reducing CasualtiesRésumé
Before 2014, Saskatchewan experienced a very high number of traffic collisions that resulted in higher deaths and injuries to drivers, passengers, and pedestrians. The year 2012 marked an especially tragic year with 183 people killed in traffic collisions in Saskatchewan, a significant increase compared to the previous three-year, considerable the prior three-year average of 158 could not normal typical as a result of the worsening state of road safety in Saskatchewan. A Special Committee on Traffic Safety was formed to enhance road safety by examining the dominant factors that cause traffic collisions in the province: impaired driving, distracted driving, excessive … Lire la suite
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2022 — Conditional Preference Networks: Constraints and SimilarityRésumé
Conditional preference networks (CP-nets) are increasingly becoming popular in representing ordinal preference relations in an efficient manner. However, one of the main issues with CP-net is that both preferences and constraints influence real-life outcomes. In this thesis, we explore two objectives associated with constrained CP-nets (CCP-nets). Our first objective is to extend the underlying constraint network of the CCP-net to the weighted constraint satisfaction problem (WCSP). We call the Weighted Constrained CP-net (WCCP-net). This new model solving the WCCP-net consists of finding those solutions from the Pareto optimal set related to the CCP-net that maximizes the total cost function of … Lire la suite
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2022 — Measurement and Prediction of pKa of Linear and Cyclic Amines Using Group-Additivity and Artificial Neural Network (ANN) ModelsRésumé
This research is focused on the estimation of dissociation constants (pKa) of eight amines, namely: 3-(Diethylamino) propylamine, 1,3-Diaminopentane, 3-Butoxypropylamine, 2-(Methylamino) ethanol, Bis (2-methoxyethyl) amine, α-Methylbenzylamine, 2-Aminoheptane, 3-Amino-1-phenylbutane in the temperature range of 293.15K to 323.15K using the potentiometric titration method. The van’t Hoff equation was used to estimate the standard state enthalpy change (ΔH0) and standard state entropy (Δ𝑆0). pKa values were predicted using the Perrin−Dempsey−Serjeant (PDS) functional additivity model, the modified PDS and the Qian, Sun, Sun, and Gao (QSSG) model. The obtained root mean square (RMS) errors for the three models were 0.41, 0.25 and 0.17, respectively. pKa … Lire la suite
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2022 — Exploring the citizen engagement metaverse: Testing virtual reality for citizen feedback on public space design optionsRésumé
Some governments have begun to experiment with using technology to support citizen and stakeholder engagement in designing public spaces, moving beyond traditional forms such as printed documents and design charrettes structured around physical objects to take advantage of virtual platforms for sharing information and gathering citizen feedback. With the advance and dispersion of technology, the public can now contribute to the planning and design of public spaces through digital platforms such as online surveys, social media, interactive maps, and touchscreen kiosks. More recently, advances like virtual reality (VR) can now be used to give the public a better understanding of … Lire la suite
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2022 — Clustering and dimensionality reduction for time-series service monitoring dataRésumé
Service monitoring applications allow customers to measure the performance, availability, and resolve application issues before they affect users. Since service monitoring applications continuously produce data to monitor their availability, therefore, high dimensionality, unlabeled data and changing data distribution are all prevalent. In this thesis, we efficiently address these three issues using the constructed service monitoring dataset. Higher dimensionality means higher computational cost to perform training and often leads to over-fitting while l earning a model. Furthermore, in the presence of high dimensionality, data are highly correlated resulting in insignificant and irrelevant features. These features have less impact on the prediction. … Lire la suite
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2022 — Application of artificial intelligence techniques to well spacing optimization in fractured tight reservoirsRésumé
Well spacing optimization is critical to the success of any hydrocarbon field development particularly unconventional fields and significantly affects the economic performance of oil and gas production operations. Oil and gas field operators over the years have resorted to field trials, surveillance and numerical simulation as the modes of determining optimal well spacing. Although field trials and surveillance are relatively easier to undertake, they are characterized by huge capital investments and a large amount of time requirement in order to arrive at conclusive decisions. Additionally, there are huge number of combinations to test, making it difficult to find a definitive … Lire la suite
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2022 — Differences in psychological outcomes associated with institutional betrayalRésumé
Institutional betrayal occurs when institutions fail to effectively support or protect the individuals who rely on them (Smith & Freyd, 2013). Institutional betrayal often happens after an adverse or traumatic event such as a sexual assault (Smith & Freyd, 2013). Previous research has found that institutional betrayal can result in worse mental and physical health outcomes following adverse experiences, even when the adverse experience is controlled for (Smith & Freyd, 2013). The purpose of this study was to investigate if differences in psychological outcomes exist for institutional betrayal following different types of adverse experiences, including racism, adverse medical experiences, and … Lire la suite
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2022 — Achieving net-zero CO2 emissions from indirect co-combustion of biomass and natural gas with carbon capture using a novel amine blendRésumé
Due to the aggravating effect of climate change as a result of unprecedented levels of greenhouse gases, particularly CO2, in the atmosphere, the need to minimize CO2 emissions into the atmosphere has become very crucial. The energy sector remains the largest source of CO2 emissions, therefore, a technology which allows for achieving netzero CO2 emissions in this sector is imperative. This research work evaluated the possibility of achieving net-zero emissions (on the minimum) through the application of co-combustion of natural gas and biomass for electricity generation. Based on the study, it is was identified that indirect co-combustion of natural gas … Lire la suite
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2022 — De-Colonizing child well-being through Bills C-92 & C15, tipi teachings and calls to action: A study of the Cowessess First Nation Miyo Pimatisowin ActRésumé
Recent reports show that First Nations children account for approximately 7.7% of all children in Canada but 52% of children in government care (Government of Canada 2021). For several years, Indigenous peoples and organizations have expressed deep concerns over the disturbing proportion of Indigenous children in care (Blackstock, 2011; Stevenson, 2013). In 2020, the Cowessess First Nation Miyo Pimatisowin (Cree translation for “Striving for a better life”) Act was established within the parameters of An Act respecting First Nations, Inuit, and Métis children, youth, and families (Bill C-92) to ensure that the next generation of First Nations children are protected … Lire la suite
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2022 — Nothing to Hide: An Animated DocumentaryRésumé
In this Critical Engagement Paper, I will explain why I consider animation to be a promising medium to talk about latent and unrepresentable aspects of reality like memories, especially painful ones, related to physical and psychological damage and loss. In my theoretical section of the paper, I will talk about distinct types of body representation and the possibility of transferring those images to cinematic form. Also, based on animation scholar Annabelle Honess Roe, animated documentary modes will be described to give information about the diverse roles of animation in a documentary and clarify my approach to animated documentary. I will … Lire la suite
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2022 — Les Défis Auxquels Les Mères-Enseignantes De L’immersion Française En Milieu Langagier Minoritaire Canadien Font FaceRésumé
Ce mémoire vise à découvrir les enjeux majeurs auxquels les mères-enseignantes de l’immersion française en milieu langagier minoritaire canadien font face. Ce projet de recherche est encadré par une méthodologie féministe, triangulée, narrative et constructiviste. En outre, l’échantillon consiste de quatre participantes. Elles sont mères de jeunes enfants ainsi que enseignantes de l’immersion française dans une province canadienne principalement anglophone, la Saskatchewan. Le questionnaire, l’entrevue et la photographie sont les moyens utilisés afin d’encadrer la collecte de données. Ainsi, ce projet de recherche aborde une variété de thèmes sociologiques et pédagogiques tels que l’épuisement professionnel et parental, la santé mentale … Lire la suite
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2022 — RIM-Decay: A deep learning method for clinical predictionRésumé
The advancement in Electronic Health Records (EHR) and clinical prediction has led to research on effectively predicting patients’ health conditions and events to assist medical professionals. A Delay of appropriate medical attention would result in the loss of life. Prediction of early mortality, length of stay, and acute respiratory failure based on vital measurements such as temperatures, blood pressure, heart rate, sugar level, etc., would assist in saving life and cost. EHR records are sparse and noisy; hence patients have varied vital measurements and length of stay. Due to the lack of a unified digital health record-keeping system, high sparsity, … Lire la suite
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2022 — A usability study of Internet-delivered cognitive behaviour therapy and resource tailored to agricultural producersRésumé
Agriculture producers experience high rates of mental health challenges and are less likely to seek or to receive help for mental health concerns than the general population. Internet-delivered cognitive behaviour therapy (ICBT) is demonstrated to be effective for reducing symptoms of anxiety and depression and overcomes many barriers to receiving mental health care. Research evaluating the usability and effectiveness of online psychological interventions for the agriculture population specifically is scarce. The goal of this study was to assess the usability of ICBT for Saskatchewan agricultural residents and its impact on symptoms of anxiety/depression, perceived stress, and resiliency. The objectives of … Lire la suite
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2022 — Why do people self-censor on social media? A metacognitive approachRésumé
A lot of focus has been put on the fact that people are sharing too much misinformation online; however, the failure to share accurate and high-quality content may be just as problematic. Indeed, although there is a growing body of work examining the psychological mechanisms that contribute to the spread of misinformation, little focus has been directed on why people fail to share accurate content online. One potential explanation is self-censorship—when an individual does not share their opinion with a group that they perceive to hold differing opinions. One possibility is that self-censorship may emerge from metacognitive factors, such as … Lire la suite
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2022 — Systemic evaluation of mobile applications for informal caregivers of people living with dementiaRésumé
Informal caregivers of people living with dementia experience stressors that are associated with adverse health outcomes. Mobile applications (i.e., apps) could improve the delivery of and increase access to interventions. Although apps for informal caregivers of people living with dementia are available, empirical evidence to support their effectiveness is limited. This study was aimed at addressing these gaps in the research literature by providing a comprehensive review and evaluating the effectiveness of available apps for informal caregivers of people living with dementia. A systematic search and content analysis of available apps were conducted. Sixteen apps meeting criteria were analyzed in … Lire la suite
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2022 — An analysis of shallow vs deep features for AI-based plant disease detectionRésumé
Many literatures show deep networks to be highly effective in visual classification. While effective, these networks rely on big data for its training process which tends to be time-consuming and resource heavy. On-site data involving plant diseases is often difficult to find in the public domain. We investigate in the absence of abundant data that has class imbalances, whether the substitution of shallow features provide a faster means to deployment in comparison to a deep feature extractor. In this work, shallow features as purposefully extracted features that are hand-crafted and selected by the data scientist. In comparison, deep features as … Lire la suite
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2022 — Acoustic and mechanical property analysis of value-added composite materialsRésumé
Globalization and modernization has led to plastic waste constituting more than 12% of the waste being generated. Plastic waste is anticipated to be 12000 million metric tonnes by 2050. With South Asian countries banning plastic, developed countries are required to explore alternatives, like recycling, reusing and reducing. Single use plastic consumerism has motivated this study to seek a sustainable re-usage of these plastics. This study is seeks to resolve the world’s second most dangerous environmental risk, which according to World Health Organization is, noise pollution. Noise has numerous negative impacts on humans and the environment. The research innovates material from … Lire la suite
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2022 — Sentiment Analysis Using Part-of-Speech-Based Feature Extraction and Game-Theoretic Rough SetsRésumé
Sentiment analysis, one of the trending natural language processing tasks, is used to mine opinions or sentiments from a given text. There are two significant challenges in sentiment analysis. The first challenge is the complexity in data pre-processing caused by the high dimensionality of textual data. The second is the uncertainty in classifying sentiment polarities due to the ambiguity of natural languages. Existing research may lack an efficient and straightforward solution to resolve the first issue; or discuss the trade-off between accuracy and coverage regarding uncertain data. To address these issues, we propose a model using part-of-speech-based feature extraction to … Lire la suite
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2022 — Network intrusion detection via flow-to-image conversionRésumé
In recent years, computer networks have become an indispensable part of our life According to the 2020 Cisco Annual Report, in next year, nearly two-thirds of the global population will have internet connectivity. The number of devices connected to IP networks will also triple the total world population's size by the same year. However, with the development of computer networks, a series of types of cyber attacks have appeared. Therefore, it is essential to establish a system used to detect attacks in computer networks, so that we can quickly prepare timely countermeasures to protect important information as well as continuity … Lire la suite
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2022 — The relationship between predicted and observed accuracy when learning a new faceRésumé
Growing evidence suggests that when learning a new face, unsystematic variability (differences in expression, make-up, hairstyle) leads to more successful recognition than both systematic variability (differences in viewpoint or lighting) and no variability (learning from a single photo). In the present study, we investigated whether subjects can intuit this benefit. Subjects learned three unfamiliar target identities with unsystematic, systematic, or no variability, then sorted new photos of the targets from photos of similar-looking distractors. Subjects predicted how accurate they would be at recognizing the target at pre-training, post-training, and post-test. Surprisingly, face recognition accuracy did not differ across variability conditions. … Lire la suite
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2022 — Feistel network-based prefix-preserving network trace anonymizationRésumé
Network traces represent a critical piece of data for the network security analysts to ensure the security of the data and detecting/correcting network issues. Due to lack of expertise, companies are forced to outsource their network traces to third parties to perform analytics on the traces and provide security feedbacks and recommendations. In fact, outsourcing network traces to third party analysts for monitoring and analytics is a common service requested by companies. However, these companies are reluctant to share their network traces, as they comprise sensitive information (e.g., IP addresses), which may be exploited for attacks. Therefore, such sensitive information … Lire la suite
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2022 — An interactive system for capturing users' qualitative preferences in recommender systemsRésumé
There are many different recommender systems available in this technological era, each with its own set of features and distinct selling points. We propose a new interactive system for eliciting and learning users’ qualitative preferences. These preferences are modeled as a conditional preference network (CP-net). The CP-net is a known graphical model representing qualitative and conditional preferences in a compact form. Users’ preferences are first captured through a learning method based on membership queries. These preferences are then compiled into a list of conditional preference statements. The CP-net is finally generated from this list. We are also incorporating a collaborative … Lire la suite
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2022 — Human dignity and intellectual disability: Thinking with Beauvoir over the influence of the Kantian viewRésumé
“Kant is generally taken to be the locus situ of the intimate connection between personhood, dignity, and autonomy” (Kittay and Carlson 2010, 4). In this thesis, I consider how the Kantian view of morality influenced the creation of a framework for our concepts and treatment of human dignity which contributes to the discrimination of people with intellectual disabilities. I will argue that we need to conceptualize human dignity outside of a framework of autonomous agency because it becomes exclusive of some people with intellectual disabilities. Guided by the thought of Simone de Beauvoir I attempt to formulate, instead, a phenomenological-existential … Lire la suite
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2022 — Using thermal imagery and changes in stem radius to assess water stress in two coniferous tree speciesRésumé
With a warming climate and greater evaporative demand, the functioning of forest ecosystems is increasingly affected by water limitation. Water stress has the potential to impact many forests globally with tree die-back, drought-related injury and increased chances of wildfire. To address the need for an innovative, non-invasive research approach to gather insight into a tree’s water stress status, I employed airborne thermal imagery from unmanned aerial vehicles as a new tool for measuring leaf temperatures. Higher canopy leaf temperatures (CLT) have been related to plant water stress when there is low soil moisture and high evaporative demand. In this thesis, … Lire la suite
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2022 — A web-based system with preferences for learning Qualitative Constraint NetworksRésumé
In this thesis, a web-based system is designed to learn and solve a Qualitative Constraint Network (QCN) based on User’s requirements and preferences in the particular case of temporal information. The constraint network is a set of time events that are related to each other. The application first asks the user to input the events defining a given temporal network. After that, queries are asked to learn the relations between the events. During this process Path Consistency (transitive closure) is applied to infer new relations and reduce the number of queries, with the help of Allen’s interval algebra composition table. … Lire la suite
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2022 — Use of polymeric membranes for the treatment of oily wastewater: Modification using inorganic nanoparticles and optimization of filtration parametersRésumé
Polymeric membranes have proven to be an effective method for the treatment of contaminated waters. Many factors influence their performances including the operating parameters, fabrication process and conditions, and modifications using different additives. Introduced as additives, nanoparticles are capable of enhancing membrane performance via their intrinsic properties which include morphology, core size, and chemical nature. Nevertheless, common problems, such as nanoparticle agglomeration or leaching and the formation of defective areas, may occur during the membrane fabrication. These issues depend on several factors which were observed to influence the membrane morphology and structure and consequently influence the effectiveness of water treatment. … Lire la suite
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2022 — Prediction of Waste Generation and Disposal Using System Dynamics ModelingRésumé
Solid waste management plays an important role in protecting the environment, the health system and minimizing biological threats, so serious actions need to be taken to control and manage these threats on the environment. Different situations such as seasonal changes and cities policies have had effects on solid waste generation and disposal behaviors, therefore the proper prediction of the amount of waste disposal is needed to improve the waste management system. In this thesis, the system dynamics (SD) model is used to predict the amount of waste generation and disposal in Canada. Different types of wastes are considered in the … Lire la suite
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2022 — Reconciliation and the role of the journalist : Indigenous peoples, truth, stories, and public policyRésumé
The role mainstream media plays in public policy agenda-setting is discussed in a number of books and papers, and takes up considerable space in the agenda-setting literature. This study examines the role mainstream media played in both shaping and sharing narratives about Indigenous peoples. It looks at the frequency with which the media discussed specific stories and policy alternatives, the venues it connected these policies to, and how frequently each was shared. It also identifies key policy actors and how each capitalized on the windows of opportunity media created to advocate for their policy alternatives to move from the public … Lire la suite
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2022 — Paradigm shifts and English language learning: A study of LINC student experience of PBLARésumé
This thesis explores the experiences of four students in a Language Instruction for Newcomers Canada (LINC) program in a technical training institution in Canada. Specifically, this study focuses on their experiences of Portfolio Based Language Assessment (PBLA), an approach which has been used nationwide in Canada. This relatively new assessment method has not yet been researched well enough to understand how students feel about this new approach to assessment and leaning. In light of these changes to the Canadian LINC program, this qualitative study explores students’ experiences with PBLA. The data for this study was collected from interviews with four … Lire la suite
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2022 — Relative state and decision making under riskRésumé
The recently developed (and mathematically formalized) relative state model of risk-taking suggests that individuals are motivated by two non-independent pathways to risk-taking: a need-based pathway, wherein risk-taking is the preferable course of action because a non-risky decision fails to meet an individual’s needs; and an ability-based pathway, wherein risk-taking is the preferable course of action because individuals are in such a good state that taking risks offers a higher expected value than non-risky alternatives. I tested the predictive value of the relative state model using a modified version of the Ecological Decision Task (ECO Task; Mishra & Lalumière, 2010), which … Lire la suite
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2022 — Using Citation Network Analysis to Examine the State of Peer-Reviewed Perceptual-Cognitive Training Literature with a Research Focus on NeurotrackerRésumé
Computer based perceptual-cognitive training is an increasingly popular tool in performance improvement applications yet the academic link between computer training and real-world performance results is tenuous at best. Many commercially available products forge ahead without academic research supporting their product. One perceptual-cognitive training program, NeuroTracker, has differentiated itself by basing its development in academic research. This has resulted in wide use of the program around the world. NeuroTracker holds a leading role in perceptual-cognitive training and this thesis examines the peer-reviewed NeuroTracker literature through citation network analysis to discover the current state of the research. Citation network analysis is a … Lire la suite
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2022 — Earthquake Resilience Framework for Stormwater Pipe Infrastructure SystemRésumé
Stormwater pipes' infrastructure is the fundamental requirement of a nation, and because of disasters, several pipes can get damaged. Consequently, evaluating resilience for stormwater infrastructure facing an earthquake hazard is an essential duty for any city because it outlines the capability to be resilient and recover from the disaster after the hazard event. The resilience quantification process needs various data types from various sources, and uncertainty and partial data may be included. Inadequate literature is available concentrating on stormwater pipe infrastructure resilience; nevertheless, the available literature has not included the beforementioned uncertainty and incomplete data. Consequently, this study recommends a … Lire la suite
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2022 — Temporal and Spatial Analysis of Landfills and Transfer Stations in SaskatchewanRésumé
Saskatchewan has the highest number of landfills per capita in Canada. Given the lower population density and the skewed spatial population distribution, comprehensive analysis of municipal solid waste management systems in Saskatchewan is inherently difficult. Most of the published waste studies however focus on city-level waste management, and there is a lack of literature with respect to the rural areas. In first part of the study, landfills and transfer stations were examined temporally and spatially using Geographic Information System. Landfills and transfer stations from 2017 and 2020 were plotted against census division land area, annual budget, and population density to … Lire la suite
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2022 — Dilex: Enabling cross-session cross-device academic digital library searchRésumé
Academic digital library searchers struggle to conduct complex search tasks that are multifaceted in nature and require multiple sessions to finish. When resuming a suspended search task, academic searchers often spend a significant amount of time reacquainting themselves with their past activities and looking for previously issued queries and saved documents. Changing devices while working on these tasks is influenced by their situation and environment. However, current academic digital library search interfaces lack the much-needed behavioural support to continue working on a complex task over a prolonged period and when changing between devices (e.g., starting a search in a mobile … Lire la suite
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2022 — Corrosion inhibition performance of cysteine and glutathione in the MEA-based carbon capture processRésumé
Amine-based carbon capture plants are prone to severe corrosion resulting in significant maintenance and repair costs. The application of corrosion inhibitors is a common practice for corrosion mitigation; however, commercial corrosion inhibitors are inorganic-based and not environmentally friendly. This poses a risk to human health and the environment, which in turn makes chemical handling and disposal costly. The objective of this study was therefore to search for an effective, eco-friendly chemical that can be used to replace these commercial inhibitors. The study began with carrying out a chemical audit to shortlist environmentally friendly chemicals, followed by the quantum chemical analysis … Lire la suite
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2022 — An Intelligent System for Autism Spectrum Disorder (ASD) DiagnosticsRésumé
Autism Spectrum Disorder (ASD) is a developmental disorder that directly affects personal communications and behavior. This disorder can be diagnosed at any age and gender. Researchers identify this problem as a developmental disorder due to symptoms which can appear in the first two years of a new born infant. The symptoms related to ASD are as follows: 1- Avoidance of eye contact and preference for lonely lifestyle; 2- Difficulties in communications and interaction with others; 3- Having trouble adapting when a routine changes or prefer repetitive behaviors with restricted interests; 4- People with these symptoms may have difficulty functioning properly … Lire la suite
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2022 — Mindful self-compassion (MSC) as an intervention for infertility related distress: A pilot self-help version of MSCRésumé
Approximately one in six Canadian couples who are attempting to conceive experience infertility or the inability to conceive a child despite frequent attempts. This infertility is a significant public health concern since it appears that the experience of infertility, particularly in women, has been associated with increased levels of depression, anxiety, and distress along with decreased levels of resilience. Additionally, no evidence-based treatment has been identified to treat infertility related distress. Mindful Self-Compassion (MSC) is a relatively novel treatment that involves learning mindfulness techniques with an explicit focus on self-compassion. Previous literature has indicated that women report lower levels of … Lire la suite
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2022 — Feature extraction and descriptor based on Fourier transform of local imagesRésumé
Image feature descriptors are the foundation of pattern recognition and computer vision. With the rapid development of artificial intelligence technology, the Fourier transform is successfully used in speech recognition. For 2D images, a Fourier de-scriptor has been developed [52] to represent the contour of an image region, but feature extraction of interior image content still so far uses mostly the traditional method, e.g. encoding vector [38]. Its application in image analysis is relatively limited so far, which has a great potential, particularly in the field of object detection and recognition. Based on the idea of Fourier transform in speech recognition, … Lire la suite
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2022 — Self-Compassion, Psychological Flexibility, Hardiness, and a Hint of Harmonious Passion: The Recipe for Building Athletes Adaptable to the Stress of Sport Related InjuryRésumé
Due to the recognition that sport related injury be approached from a biopsychosocial perspective, there has been a push for deeper psychological exploration in research. This has led to interest in two main areas: 1) identifying the psychological variables that may play a role in making an athlete more prone to injury, and 2) an athlete’s emotional, cognitive, and behavioural response to injury and how they influence the rehabilitation process (Almeida et al., 2014). As a result, the study presented in this dissertation explored the psychological factors believed to be important to athlete health. Using path analysis, two path models … Lire la suite
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2022 — Genetic interaction landscape of the Escherichia coli transcriptional factor machineryRésumé
In Bacteria, transcription factors (TFs) consist of sensory ligand-binding and DNA-binding helix-turn-helix (HTH) domains to respond to the environmental and internal stimuli. Although Escherichia coli is a well-studied model bacterium, yet half of its TFs’ characteristics remain unclear, including 72 genes of unknown function. Using E. coli synthetic genetic array, a quantitative approach to scoring the fitness of single and double mutant genes, I was able to measure pairwise genetic interactions (GIs) among all TFs in rich and minimal media (RM and MM) to create a differential (DF) GI network. DF network analysis demonstrated GIs altered in RM or MM … Lire la suite
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2022 — A study of factors influencing cyberattacksRésumé
There has been a substantial global cyberattack evolution and Internet Use revolution during the current Coronavirus pandemic, consequently forcing countries across the globe to begin reviewing their national cybersecurity strategies. However, to adequately minimize the risks of future attacks and associated losses, new and/or contemporary cyberattack studies are required, particularly at the country level. This research examines the chances of attack initiation, during the present Coronavirus pandemic, indicated in this study by Country-Level Cyberattacks (CLCA) and how it is affected by Country-Level Internet Use (CLIU), a technological Country-Level Influential Factor (CLIF). It presents a quantitative, nonexperimental, correlational approach that examines … Lire la suite
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2022 — The Immigrant Mothers' Experience of their Children's Heritage Language LossRésumé
Through this qualitative research project, I investigated how immigrant mothers experience their children’s heritage language loss; what emotions, feelings, and attitudes they experienced, how they navigated their children’s heritage language loss, what strategies they used, and what were some of the possible consequences of not having a shared language on the maternal relationship between mother and child? Using a case study research methodology and narrative analysis, I interviewed two immigrant mothers about their children’s heritage language experience in Canada. The findings of this study indicate that language is fluid, that it can be learned and lost at any age by … Lire la suite
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2022 — Re*Spire: An Artaudian Exploration of the Cough and TechnologyRésumé
Re*Spire: An Artaudian Exploration of the Cough and Technology In this support paper, theatre technologist Patrick James reflects on the technology, creative process, and theory implemented during the creation of Re*Spire: a technology fueled dance performance which investigates the performers’ and audience’s sense of liveness as the performance world has moved to digital platforms due to the onset of the COVID-19 pandemic. This paper and creative work argues that, specifically in post COVID contemporary theatre, combining theatre and creative technology via the medium of the “coughing body” can produce what Artaud calls “cruelty” to reengage audiences and re-enliven scenography. This … Lire la suite
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2022 — Investigation of water-in-oil emulsion on CSI solvent dissolution and ex-solution performance for heavy oilRésumé
The previous phase behavior studies of solvent and heavy oil systems were studied with cleaned tank oil samples only without considering the natural emulsion state of heavy oils, which does not fully reflect the proper fluid flow mechanisms at actual reservoir conditions. Therefore, in this study, the influence of water-oil emulsion on heavy oil's fluid properties and phase behavior was conducted. The effects of the water content on the physical properties of dead and live oils and their influence on the exsolution and dissolution processes of heavy oil mixtures were examined. The experiments used emulsion oils with three different water … Lire la suite
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2022 — Quantification of Physical Properties and Dissociation Characteristics for Natural Gas Hydrate SystemsRésumé
With the hydrate development stepping into the field trials, technical challenges and operational concerns arise at the same time including the risk of geological disasters, unstable/discontinuous gas production rates, low energy efficiencies, and high sand influxes. To safely, economically, and efficiently develop a natural gas hydrate (NGH) reservoir in the future, it is of fundamental and practical importance to determine its physical properties, characterize the dynamic attributes along with hydrate extraction, and design and optimize the operational parameters for different dissociation techniques at both laboratory- and field-scales. An equivalent resistance model is proposed and validated to determine hydrate saturation based … Lire la suite