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    3789 research outputs found

    It was neither Confucian nor confusion: dynamics of intercultural sensitivity among East-Asian students at Canadian universities

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    International students from Confucian heritage culture countries are often perceived by westerners as having low intercultural communication competence (ICC) (Zhu & Bresnahan, 2018). In popular media and mainstream cultural-psychological research, Confucian culture is often the scapegoat for subjecting East Asian international students (EAISs) to cultural archetypes of reticence, obedience, unassailability, and similar. In the present study, intercultural sensitivity was used to measure the affective domain of ICC, and quantitative analyses were performed to investigate 1) whether international students (EAISs vs non-EAISs) reported different capacities of intercultural sensitivity in cross-cultural interaction. 2) Did EAISs particularly identify with Confucian values as widely perceived? 3) Did EAISs rate stronger social confusion than non-EAISs that may contribute to low ICC? 4) How did social and cultural factors of international students’ adjustment impact their intercultural sensitivity? A total of 120 international students enrolled at Canadian universities completed an online questionnaire. The results of the group comparison show that there was no difference in intercultural sensitivity and identification of Confucian cultural attributes between EAISs and non-EAISs. However, non-EAISs unexpectedly reported much higher social confusion than EAISs, as measured by culture shock and language apprehension. [...

    Insect pest and disease incidence in Northwestern Ontario canola fields

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    While canola has enjoyed a long and lucrative history as a globally successful crop, it has only recently gained popularity in the Thunder Bay District, having been grown locally for just over 10 years. As part of any crop management strategy, it is a vitally important first step to plan mitigation tactics to prevent insect pests and disease infestation. Known insect pests and diseases detrimental to canola in the Manitoba, Saskatchewan and Southern Ontario areas include insect pests such as; Diamondback moth, three species of Flea beetle and the Lygus bug – and diseases such as Aster Yellows, Clubroot and Blackleg. While these insect pests and diseases have begun to migrate to Northwestern Ontario crops, their numbers have not yet proved significantly detrimental to the locally grown canola crops. As part of an Integrated Pest Management plan (IPM), crop rotation is among the recommended measures to prevent pest damage and is recognized as an effective practice for suppressing pests and/or improving biological control, especially with the addition of perennial species. To assist four local farmers with their crop management strategies, this study undertook a net-sweep survey and visual monitoring of eight local privately owned canola fields to determine the effectiveness of crop rotation as a part of their IPM plans. Rotation of canola crops is one such strategy that has been utilized in the prairie provinces and for many generations with a multitude of other crops with success. This study showed that there were significant effects on the incidence of Flea beetles when rotation age was changed but in general the levels of Lygus bugs and Diamondback moths stayed the same. Date of capture had significant effect on the incidence of Diamondback moth and field size had significant differences when divided into above and below 50 acres but no direct effect on insect pest incidence. Diseases existed in such low amounts that it was nearly impossible to attain proper statistical analysis for. Future studies can expand upon this with more rigorous testing measures to ensure proper management of canola in the Thunder Bay District

    Neutrophils in the interface between innate and adaptive immunity in response to Haemophilus influenzae type a

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    Haemophilus influenzae type a (Hia) is a bacterial human pathogen that has emerged as a significant cause of invasive disease in Canadian Indigenous populations. Protection against encapsulated bacteria such as Hia is mediated by the antigen-specific antibody response, in cooperation with innate immune mechanisms. Anti-capsular antibodies and complement opsonize bacteria for phagocytosis. Neutrophils are abundant innate immune cells primarily involved in bacterial clearance via opsonophagocytosis. Recent studies revealed they can modulate the adaptive immune response, but this function is poorly understood. Also, much is still unknown about the innate and adaptive immune responses to Hia and its polysaccharide capsule. As such, this study aimed to determine if Hia can activate the innate and adaptive immune responses through neutrophils and if these responses differ between encapsulated versus unencapsulated, or invasive versus non-invasive strains. [...

    Influence of building neighbors on wind flow around a tall building

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    This thesis focuses on how building neighbors influence wind flow around a tall building. The wake dynamics and flow structures around a tall building are first explored using Large Eddy Simulations (LES). Following this, wake topology, flow structures, and vortical structures are investigated when a small building is placed downstream and upstream of a tall building. The wake and flow structures formed from the building neighbors’ effects around the tall building were compared with the wake features and flow structures observed for the single tall building case. The study of the wake was first investigated when a building neighbor (small building) was present downstream of a tall building. The influence a small building has on wind flow around the tall building was investigated by examining how wake and flow structures change when a small building was introduced. A weaker downwash flow shown by the decrease in vorticity was observed as opposed to when the tall building was isolated. This is primarily due to the presence of the small building downstream which subsequently reduced the wake effects from the tall building. Pedestrians will therefore experience better comfort at the wake region as opposed to when the tall building was isolated. Different flow structures were observed. First, a reverse-c shaped type of vortex was formed at the near wake which develops into hairpin type of vortices at the far wake. When upwash, downwash, and shear layers interact, hairpin vortices form, creating an increase in wake instabilities. A horseshoe vortex forms in the wake, with its legs extending into the wake, interacting with the wake structure formed behind the buildings and having an immediate effect on wake dynamics. At the windward face of the small building, which lies in the aerodynamic wake of the tall building, the mean pressure coefficient decreased even more, reaching ̅̅̅ ≈ 0.07. The progressive decrease in mean pressure coefficient (82.5%) shows how the mean wind load reduces downstream due to the presence of the small building downstream. This further shows how aerodynamic wake effects decrease considerably more quickly. [...

    Nonlinear mathematical and numerical modeling of the effect of temperature on membrane pore size

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    Due to the growth of the global population, water stress has risen sharply. However, water stress in high latitudes is not only due to population growth but also to low local temperatures. Numerous studies have shown that temperature affects the pore size of membranes, becoming larger at higher temperatures and smaller at lower temperatures. Since the average low temperature at high latitudes is usually below 10°C, the effect of low temperature on the membrane can reduce water flow and thus reduce the effectiveness of the membrane. In this paper, the effect of temperature change on the membrane is mainly studied using the nonlinear thermoelastic model. In the model, an axisymmetric large mechanical deformation as well a large temperature change is considered. Traction-free mechanical boundary conditions and convective thermal boundary conditions were used in the study. The finite difference method is used to solve the nonlinear system of equations. The proposed model is validated by comparison with limited published experimental results. Differences between the model and the published results were analyzed by comparing the MATLAB and experimental results. The effects of the mechanical and thermal properties of the material on the membrane under increasing temperature changes were investigated. The modeling results are in reasonably good agreement with the experimental results

    Impact of transport industry and its dynamics on the reserve forests in China

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    The transport sector in China has grown rapidly. China's transportation system is a vast network of nodes that cluster around economically developed coastal areas and inland towns along major rivers. The physical condition and comprehensiveness of China's transportation infrastructure varies greatly across the country. While isolated and rural areas still rely on non-mechanized modes of transportation, a modern maglev system connecting Shanghai to Shanghai Pudong International Airport has been built in China. Construction of airports, roads, and railways will create millions of jobs in China over the next decade. The role of transportation in promoting forest expansion and development cannot be overstated. We have a good chance of turning them into active and successful forest sites if we provide excellent transportation services to forest businesses and their dynamics. This study used a systematic review to gather data from books, journals, articles, and other related publications. To improve the outcome, secondary sources were used to gather qualitative data. A systematic review collects and analyzes secondary data using repeatable analytical methods. The collated paper was then used for the study's statistical analysis. As a result, comprehensive safety assessments of such drugs must include data from more study types than currently exist. Including comparative studies of any kind was made possible by anticipating the research available at the time of inclusion. According to the data gathered, the transportation industry has significantly expanded China's reserve forests. For example, increased accessibility has increased the number of tourists visiting the region to see the wild animals and natural resources. This study suggests that forest managers expand forest reserves by allowing tourists to visit protected areas like national parks

    Design of polarization reconfigurable beam-steerable and frequency tunable FPMS based SIW-slot antennas

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    With the rapid evolution of modern and smart communication technologies such as 5th generation of mobile network (5G), (internet of things) IoT, Autonomous Vehicles, Aviation Technology, etc., the need for reconfigurable radio frequency (RF) components cannot be emphasized enough. Thus, the rationale for plethora of research carried out in the design and development of reconfigurable/tunable RF components and devices. This work focuses on the design of a polarization reconfigurable and beam-steerable substrate integrated waveguide-slot (SIW-slot) antenna using a novel technology, field programmable microwave substrate (FPMS). At first, the antenna is optimized to operate at 4 GHz on a Duroid 5880 substrate with six slots rotated at 5° towards the center of the waveguide. This follows the integration of optimized FPMS unit cells on the slot radiators. While varying the capacitance values of the unit cells, close attention is paid to the impedance and radiation performance of the antenna. Initial results presented here show a beam steering of ±40°. In addition, the antenna is also seen to provide gain modulation in maximum steered direction. Interestingly, as the antenna radiation is steered, the polarization of the antenna switches from E (maximum at 0) to Eθ (40). This makes the design an excellent candidate for end-to-end secured communication with minimum interference in applications such as aircraft RADARs. Thus, the antenna performance metrics show the promise of the unique FPMS technology in designing of smart RF components

    Application of artificial intelligence in fault detection and classification of solar power plants and prediction of power generation of combined cycled power plants

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    Solar energy is one of the most dependable renewable energy technologies, as it is feasible almost everywhere globally and is environmentally friendly. Photovoltaic-based renewable energy systems are highly susceptible to power grid transients. Their operation may suffer drastically during faults in the solar arrays, power electronics, and the inverter. Thus, it is vital to develop an intelligent mechanism to detect any type of fault or abnormalities within the shortest possible time that will increase reliability and decrease the maintenance cost of the solar system. To accomplish that, in this research, different artificial intelligence (AI) techniques are utilized to develop classification, fault detection, and optimization algorithms for solar photovoltaic (PV) panels. Initially, a convolutional neural network (CNN) model was designed to detect and classify PV modules based on the images taken from the solar panels. It is found that the proposed CNN model can identify the fault with an accuracy of 91.1% for binary (i.e., healthy and faulty) and 88.6% for multi-classification (i.e. cracked, shadowy, dusty and normal). However, sometimes the fault in the solar panel may not be detectable from the images of the solar panels. That is why an adaptive neuro-fuzzy inference system (ANFIS) model is developed to detect and classify the defects of PV systems based on the signals collected from the solar panels. The performance of the developed defect detection and classification algorithms was tested using real-life solar farm datasets. The performance of the proposed ANFIS-based fault detection scheme has been compared with different machine learning algorithms. It is found from the comparative results that the proposed ANFIS-based fault detection technique is robust and straightforward. Thus, the developed ANFISbased intelligent technique will enhance the reliability of the PV system by minimizing the maintenance cost and saving energy. Finally, another ANFIS model is developed to predict the power generation in a combined cycle power plant. The codes were written in MATLAB, and their validity is confirmed with the available ANFIS toolboxes in MATLAB. The proposed ANFIS is found capable of successfully predicting power generation with extremely high accuracy and being much faster than the built-in ANFIS of MATLAB Toolbox. Thus, the developed ANFIS model could be utilized as a promising tool for energy generation applications

    Power in the Image | Visual Literacy in the Age of COVID-19

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    The aim of this portfolio is to explore a journey of research examining the role of photography and visual literacy in contemporary society through the lens of COVID-19 media coverage, attending to the misrepresentation of marginalized communities. The digital revolution has made a significant impact on the way photographs are created, modified, and shared, yet not enough attention is devoted to investigating the implications of this shift. Images published on online platforms, including mainstream media, social media and elsewhere, continue to function as public pedagogy, influencing the ways we understand the pandemic, the world, and ourselves. This portfolio presents four artifacts which contribute to the discourse examining the role of visual culture and visual literacy following the digital turn. These items include 1) a literature review; 2) chapters from a book which examines visual documentation of the Capitol Riots; 3) a visual synthesis of a media observatory study which examines discourse on social media and finally, 4) an educational video presentation exploring visual literacy through the lens of COVID-19 media coverage

    Chemical de-polymerization for reuse of polyethylene terephthalate (PET) towards a circular economy

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    Sustainable and effective waste management is very important to address environmental pollution. This is especially the case for plastics as their inherent resistance to breakdown leads to their accumulation the environment. This is the case if the conventional linear economy is practised. The overall aim of this study is to breakdown Polyethylene Terephthalate (PET) bottle products to its monomers so that it can be re-polymerized and used in the same or similar applications. This will lead to reduced use of the virgin reactant, reduce accumulation in the environment and lead to a circular economy. [...

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