Lambton College

Abstract Exploring the far-reaching effects of US trade policies, this research examines the 2019 tariffs imposed on Chinese imports and their unintended benefits for EU exports to the United States. The study analyzes trade data from WITS and Eurostat, focusing on textiles, food, and electrical equipment, to assess how the tariffs shifted demand from Chinese goods to European counterparts. By applying theories of comparative advantage, competitive interdependence, and the J-Curve phenomenon , the research identifies a significant increase in EU exports to the US during the tariff period. These shifts, while tempered by COVID-19 disruptions, rebounded strongly in 2021, affirming the initial hypothesis. The study not only highlights the strategic positioning of the EU as a beneficiary but also points out the complexities of global trade networks and policy implications, calling for more granular data and future research into the long-term effects of trade barriers on international trade dynamics.

This article briefly reviews the causes of unilateral nasal discharge associated with sinonasal disease in the horse. Whilst, computed tomographic and radiographic imaging are often of great diagnostic value, clinical and nasal endoscopic examinations are the initial steps in investigating these disorders. This article reviews the use of oral examination and nasal endoscopy in the investigation of nasal discharge caused by sinonasal disease.

Surface coatings such as hydrophobic and transparent coatings were applied to cement concrete surfaces using Polydimethylsiloxane (PDMS) coatings, which have nanometer-sized particles. The degree of contact between the liquid and the coated surface reveals the surface’s ability to repel water, commonly referred to as hydrophobicity. By depositing silicon coating on the surface, we successfully achieved superhydrophobicity on cement concrete, providing excellent resistance against water damage. We are striving to replicate the natural superhydrophobic properties found in nature to create artificial surfaces with similar characteristics. In this study, we experimented to develop and evaluate superhydrophobic coatings on cement concrete. The application of PDMS on the cement concrete yielded fascinating results, with the typical contact angle of the coated layer measuring 178 degrees. We utilized ImageJ software to analyze the results. This innovative approach holds great promise for enhancing water repellency in the field of construction.

To describe the resilience and emotional intelligence of Registered Practical Nurses working in Home and Community Care during the COVID-19 pandemic. Specifically, to determine if there was a relationship between resilience and emotional intelligence based on whether a nurse: (1) left the sector, (2) considered leaving, or (3) took a leave of absence during the pandemic. An online cross-sectional survey was used to capture respondents' demographic information and scores on the Connor-Davidson Resilience Scale, Resilience at Work Scale®, and Wong and Law Emotional Intelligence Scale. Registered Practical Nurses working, or who had worked, in Home and Community Care January 2020 to September 2022 were eligible to participate. The Checklist for Reporting Results of Internet E-Surveys was used. The survey was available June to September 2022 and advertised by the Registered Practical Nurses Association of Ontario to approximately 2105 members. Descriptive statistics and independent samples t-tests were used to analyze results at a level of P < .05 was used for all analyses. A total of 672 respondents participated (completion rate = 92.8%). There were no differences on resilience or emotional intelligence scores based on whether a nurse left, or considered leaving, the Home and Community Care sector during the pandemic. However, nurses who took a leave of absence scored significantly higher on resilience and emotional intelligence measures when compared to those who did not. Results suggest that a leave of absence for these nurses during the pandemic may have been a supportive coping strategy.

To cultivate a learning environment promoting meaningful engagement with research, Huron University College—a small, primarily undergraduate liberal arts institution—launched the Centre for Undergraduate Research Learning (CURL). One major initiative of CURL's pilot phase was to fund extracurricular research opportunities (Student Fellowships) for undergraduate students. These projects enable students to conduct independent research projects with the guidance of a faculty mentor. The current paper presents the findings from a case study of the first four CURL Student Research Fellowship award recipients and their faculty mentors, using the concept of transformative experience (Heddy and Pugh, 2015) as the lens to conduct a content analysis of participant interviews. Our findings show evidence of substantive dialogue and active collaboration between students and their faculty mentors, providing a safe space for students to experiment, explore and develop their research skills. The students articulated development of specific skills related to research process, connection between theory and practice, as well as personal intellectual and interpersonal gains, which are suggestive of a transformative experience in progress. Although this paper reports on a limited sample, the findings may provide insight into the potential transformative impact of mentored undergraduate research experiences in the liberal arts.

External program review is often considered the “gold standard” approach to evaluating academic programs in higher education. Despite the importance of program review, skepticism persists regarding its ability to meaningfully engage faculty and have sustaining impact on program improvement. This paper builds on the academic Program Review Learning Community conceptual model and presents a process for applying a project management facilitation technique that leverages a course structure. The Program Review Course allows for multiple programs to be reviewed concurrently as part of an interdisciplinary cohort. Within the cohort, faculty teams gain access to templates, information sessions, workshops, and discussion forums, with opportunities for engagement both within and across multiple disciplines. Using learning modules, this approach is designed to create efficiency and collaboration in delivering program review tools and customized supports. Utilizing a course structure for program review fits well with a new way to think about program review because successful learning communities are often embedded within institutional structures. Use of this approach is expected to increase clarity and consistency, improve administrative feasibility, provide guidance for those new to program review, promote collegiality within and across programs, and involve team members in the creation of action planning. The authors propose that a course-based approach for conducting program review, with teams of disciplinary faculty joining an interdisciplinary cohort and supported by quality assurance practitioners and educational developers is a novel way to provide structure and academic development while meeting legislative requirements.

GDP forecasting is the estimation of gross domestic product (GDP) over a period of time in the future, which is important for national governments, businesses, and investors respectively. The exponential smoothing method, also known as an exponentially weighted average method, is a forecasting method with the advantages of a clear process and convenient calculation. In this paper, the literature method is used, and "gross domestic product", "GDP", and "exponential smoothing method" are used in various databases and literature review websites, "Macroeconomics" and "forecasting" as the keywords to search, comb the literature, categorize and summarize the application of exponential smoothing method in GDP forecasting, and at the same time, the experimental method is used to design an experiment to forecast the future growth of GDP in the next three years by using the data published by the National Bureau of Statistics of China (NBSC). The results of the experiment are that the value-added of the primary industry is expected to continue to grow from about 9227.246 billion Yuan in 2023 to about 100139.20 billion Yuan in 2025. The value added of the secondary industry is projected to continue to grow from about 510,795,800,000,000 Yuan in 2023 to about 563,968,676,000,000 Yuan in 2025. The value added to the tertiary sector is projected to continue to grow from about 679,630.84 billion yuan in 2023 to about 753,204.88 billion yuan in 2025. Correspondingly, the Gross Domestic Product (GDP) will continue to grow, from about 1,281,982,888 million yuan in 2023 to about 1,417,312,284 million yuan in 2025. By analyzing the forecast results, it can be seen that all three major industries in China will maintain growth in the next three years. Depending on the different attributes of the three major industries, the government or enterprises will take appropriate measures to ensure the growth of the industries as well as to cope with various risks. This forecast is based on past data, but the actual economic situation may be affected by many external factors such as the international trade environment and the global economic situation. Governments and businesses will therefore need to pay close attention to these factors in order to adjust their strategies in a timely manner.

In contemporary society, where the energy crisis is becoming more and more serious, the energy transition of automobiles is imminent. By studying the background of Tesla, its production strategy, battery technology, supply chain, marketing network, and operation mode under the epidemic, combined with the comparison of traditional car companies, this paper hopes to provide relevant suggestions and improvement methods to the energy transition of traditional car companies, which can make the electric vehicle industry develop more rapidly.