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This paper considers small businesses as an effective sector that solves current problems in the structure of the economy. The study aims to develop a set of measures (tools) for involving small businesses in stabilizing Alberta's economy. The methodology includes the monitoring of the economy within Alberta's regional borders over time; statistical analysis of the small business sector before and during the pandemic in the structure of the economy; as well as grouping and converting quantitative measurements into a qualitative summary of the main economic principles. These steps are aimed at developing a set of measures (tools) for involving small businesses in the economy of the province and the country as a whole. The growth of small enterprises ensures a practice focused on productivity, innovation, and society, which is confirmed by the dominant share of small businesses in the gross domestic product created by the dominant share of small businesses in the gross domestic product created by the private sector of the province. Thus, focusing on the economic principles of small businesses, a complex of measures is proposed for mobilization to maximize the economic result at the provincial level in the context of strengthening the national economy. In practice, the findings will help the local government to determine a set of beneficial policies, contributing to the utilization of the advantages of the local economy in the sphere of business production. Entrepreneurs are provided with an opportunity to qualitatively utilize economic opportunities, recognizing the risks of the external environment. [ABSTRACT FROM AUTHOR]

Effective winter road maintenance relies on precise road friction estimation. Machine learning (ML) models have shown significant promise in this; however, their inherent complexity makes understanding their inner workings challenging. This paper addresses this issue by conducting a comparative analysis of road friction estimation models using four ML methods, including regression tree, random forest, eXtreme Gradient Boosting (XGBoost), and support vector regression (SVR). We then employ the SHapley Additive exPlanations (SHAP) explainable artificial intelligence (AI) to enhance model interpretability. Our analysis on an Alberta dataset reveals that the XGBoost model performs best with an accuracy of 91.39%. The SHAP analysis illustrates the logical relationships between predictor features and friction within all three tree-based models, but it also uncovers inconsistencies within the SVR model, potentially attributed to insufficient feature interactions. Thus, this paper not only showcase the role of explainable AI in improving the ML interpretability of models for road friction estimation, but also provides practical insights that could improve winter road maintenance decisions. [ABSTRACT FROM AUTHOR]

A number of sentinel species are regularly sampled from the environment near the Oil Sands Region (OSR) in Alberta, Canada. In particular, trout-perch are sampled as a proxy for the health of the aquatic ecosystem. As the development of the OSR began before the environmental monitoring program was in place, there is currently no established measure for the baseline health of the local ecosystem. A common solution is to calculate normal ranges for fish endpoints. Observations found to be outside the normal range are then flagged, alerting researchers to the potential presence of stressors in the local environment. The quality of the normal ranges is dependent on the accuracy of the estimates used to calculate them. This paper explores the use of neural networks and regularized regression for improving the prediction accuracy of fish endpoints. We also consider the trade-off between the prediction accuracy and interpretability of each model. We find that neural networks can provide increased prediction accuracy, but this improvement in accuracy may not be worth the loss in interpretability in some ecological studies. The elastic net offers both good prediction accuracy and interpretability, making it a safe choice for many ecological applications. A hybridized method combining both the neural network and elastic net offers high prediction accuracy as well as some interpretability, and therefore it is the recommended method for this application. [ABSTRACT FROM AUTHOR]

This review paper investigates the landscape of wildfire-related studies with a focus on infrastructure and evacuations across Canadian provinces, revealing a predominant focus on Alberta, particularly after the 2016 Fort McMurray wildfire. The aftermath of this event has heightened attention to the unique challenges faced during evacuations, emphasizing the urgent need for heightened awareness and preparedness, especially in the vulnerable northern communities of Alberta. Studies beyond Alberta contribute to understanding Canadian wildfire dynamics. However, a noticeable research gap in British Columbia raises concerns about research prioritization and resource allocation despite heightened wildfire activity. The fact that some provinces are contributing less than 4.2%, such as Quebec, Saskatchewan, Ontario, Northwest Territories, Yukon, and the Prairies, might be attributed to regional variations influenced by historical wildfire frequency and population density. Thematic analysis categorizing studies into "community support/resilience", "evacuation efficiency", and "infrastructure protection/raising awareness" provides nuanced insights. The dominance of the "community support/resilience" category, comprising over 40% of studies, signifies a societal shift towards proactive community engagement. Balanced representation in the "evacuation efficiency" and "infrastructure protection/raising awareness" categories, each contributing over 29%, reflects a collective effort to glean lessons from past evacuations and enhance community preparedness. Temporal trends and thematic analyses spotlight a commitment to continuous improvement, adaptability to emerging challenges, and a growing recognition of the multifaceted aspects of wildfire management. The evolving emphasis on community involvement, responsiveness to changing evacuation dynamics, and heightened awareness of infrastructure protection underscores the proactive stance of the research community, providing insights for shaping future research priorities, policy frameworks, and community resilience strategies in the face of evolving wildfire threats in Canada. [ABSTRACT FROM AUTHOR]

Background: Medical Assistance in Dying (MAiD) was legalized in Canada in 2016 and amended in 2021. At the time that this study was conducted, the federal government was considering expanding the eligibility criteria to include patients whose death was not reasonably foreseeable. The purpose of this study was to better understand rural healthcare professionals' experiences with assisted dying set against the backdrop of legislative expansion. Methods: A qualitative exploratory study was undertaken with general rural practice physicians, nurse practitioners, registered nurses, ethicists, patients, and patient families in rural Southern Alberta, Canada. For this paper, data from 18 audio-recorded and transcribed semi-structured interviews with healthcare professionals were analyzed using thematic analysis. Categories and patterns of shared meaning that linked to an overarching theme were identified. Results: Between the binary positions of full support for and conscientious objection to assisted dying, rural healthcare professionals' decisions to participate in MAiD was based on their moral convictions, various contextual factors, and their participation thresholds. Factors including patient suffering; personal and professional values and beliefs; relationships with colleagues, patients and family, and community; and changing MAiD policy and legislation created nuances that informed their decision-making. Conclusions: The interplay of multiple factors and their degree of influence on healthcare professionals' decision-making create multiple decision points between full support for and participation in MAiD processes and complete opposition and/or abstention. Moreover, our findings suggest evolving policy and legislation have the potential to increase rural healthcare professionals' uncertainty and level of discomfort in providing services. We propose that the binary language typically used in the MAiD discourse be reframed to reflect that decision-making processes and actions are often fluid and situational. [ABSTRACT FROM AUTHOR]

Background: The COVID-19 (C19) pandemic shocked primary care systems around the world. Those systems responded by supporting patients in the community, and acute care facilities in crisis. In Canada, the Patient Medical Home (PMH) is a widely adopted care model that aims to operationalize the tenets and principles of Primary Health Care (PHC) as developed since the Alma-Ata Declaration. This paper describes how personnel working in and with Primary Care Networks (PCNs) in Alberta, Canada deployed the PMH model and its underlying PHC principles to frame and respond to the C19 shock. Methods: Using purposive and snowball sampling techniques, we interviewed 57 participants who worked in public health and primary care, including community-based family physicians. We used interpretive description to analyze the interviews. Results: PCN staff and physicians described how the PMH model was foundational to normal operations, and how C19 responses were framed by the patient-centric, team-delivered, and continuous care principles the model shares with PHC. Specifically, participants described ensuring access to care, addressing the social determinants of health, being patient centered, and redeploying and expanding PHC teams to accomplish these goals. Discussion: Delivering PHC through the PMH allowed physicians and allied health staff to deliver patient-centered, team-based, holistic bio-medical services to Albertans. In tailoring services to meet the specific social and health needs of the populations served by each PCN, healthcare providers were able to ensure relevant support remained available and accessible. [ABSTRACT FROM AUTHOR]

Pope Francis's dream for a synodal Church has implications for Catholic schools globally, but what exactly are these consequences? This paper explores Francis's vision in the context of Canadian Catholic schools in Alberta, Saskatchewan, and the Northwest Territories (NWT), where these schools are fully-funded by the government and enroll nearly a quarter million students. Ten exploratory interviews with chief superintendents from these schools—which formed the basis of a larger study—were analyzed to understand potential connections to Francis's vision and his four commitments to synodality: focusing on relationships, a culture of encounter, the essentials of the Christian faith, and local decision-making. The pope differentiates synodality from democratic forms of leadership and demands a communal form of listening and discerning God's Spirit. While the superintendents' style of leadership appeared to mirror synodality in many ways, predominant issues remain to be explored: an emphasis on relationships upends the status quo and gives new directions for the schools; encountering others will inevitably demand prophetic leadership by the system leaders; leading with the essentials of faith will not please everyone in Catholic schooling; and shared authority among the superintendents, bishops, and trustees requires further dialogue. [ABSTRACT FROM AUTHOR]

Basal gravel and sand mantling the bedrock floors of buried valleys throughout the Canadian Interior Plains, and conformably overlying proglacial lacustrine sediment, comprise the Empress Group. While previously conceptualized as stratigraphically equivalent deposits of preglacial rivers prior to the first and most extensive continental and montane glaciations, subsequent stratigraphic studies indicated that buried valley basal gravel must have been deposited between, or during, progressively more extensive continental glaciations and could not be stratigraphically equivalent throughout the buried valley network. However, in the general absence of formation-rank stratigraphic description of basal gravel units that might better inform the geologic history of the deposits, most workers simply consider Empress Group sediments time-transgressive. In this paper, we examine basal gravel at provincial and regional scales to understand its genesis and geologic history. At the provincial scale, we map basal gravel in three dimensions using a novel machine learning approach. At the regional scale, we formally define basal gravel formations at either end of the largest buried valley system in Alberta, which informs its glacial history and physiographic development and shows the importance of formation-rank stratigraphic description. Our results indicate that the buried valley network across Alberta is palimpsest in genesis and basal gravel units within it are chronostratigraphically intercalated between tills. We advocate that the Empress Group definition be extended across Alberta with modifications to improve its clarity and utility, and formally define the Old Fort, Unchaga, Ipiatik, and Winefred formations as part of the Empress Group. [ABSTRACT FROM AUTHOR]

Our objective in this paper is to examine the growth of the price of farm milk quotas in Canada, to shed light on their patterns of growth within the last 15 years. Our quota price model is based on the Gordon growth model, supplemented by some important characteristics of the milk quota market. Our explanatory variables include the quota rental price, interest rate, and expectations of both price and quantity growth, all for the province of Alberta over the 2009–2023 time period. Our economic model of quota prices performs well by giving results with the predicted signs for all variables in our model and high levels of statistical significance except for expectations of quantity allocations when entered separately. The model has two variants, one with the expectation of growth in quota rents and the other with the expectation of growth in the quota asset price. Econometric issues related to time series problems are dealt with. The model allows calculation of policy risk, which shows an interesting pattern over this time period. [ABSTRACT FROM AUTHOR]

The use of Global Navigation Satellite System (GNSS) in combination with real-time kinematic technique, known as differential GNSS (dGNSS), has increased in recent years for monitoring landslide displacements and detecting early signs of potential failure, enabling an earlier response for risk mitigation than traditional monitoring techniques. GNSS offers several advantages, including high accuracy and high-frequency data collection. Although more cost-effective, their affordability may still present challenges for public organizations managing multiple landslides in their territory. The SparkFun is a suite of components for GNSS assembly designed for topographic surveying, that integrates u-blox ZED-F9P or ZED-F9R modules. The system offers the benefits of dGNSS technology while being more affordable than other market options. It also avoids relying on phone signals for data storage on a cloud server. This paper presents the SparkFun system, its components, and how it can be assembled to create a dGNSS system for landslide monitoring. The deployment and testing at the Chin Coulee landslide in Alberta are discussed. Over the 6-month testing period, the system achieved millimeter accuracy (up to 14 mm), aligning with the manufacturer's specifications. Estimated system errors were found to be comparable to a commercially available dGNSS system (Ophelia Geocube). Additionally, the system exhibits displacement trends similar to the 2018 Geocube monitoring campaign; however, for future deployments, the robustness of the power supply system and the insulation of the equipment need to be enhanced. Overall, the SparkFun system appears to be a promising and cost-effective alternative for monitoring landslide displacements. [ABSTRACT FROM AUTHOR]

This paper presents a new methodology to assist geophysicists in determining the first-break event in a 3-D seismic data set using the well-known technique called dynamic time warping algorithm (DTW), which is usually used to find the optimal alignment between two time-series. We used the optimal path from the cost matrix to identify the first break in the seismogram using a few picks (seeds) made by an interpreter as a reference to perform this task. Furthermore, the data were pre-conditioned by the topographic and linear moveout to improve the method's accuracy. To demonstrate the technique's robustness, first, we applied the methodology in a synthetic seismic data. After demonstrating the efficiency of the algorithm, we applied the aforementioned methodology in the Polo-Miranga 3-D seismic cube located in the Recôncavo sedimentary basin, Bahia-Brazil, and in the seismic data acquired from the Blackfoot field in Alberta, Canada. The high-quality results showed consistency in determining the first break in all ranges of offsets, demonstrating an alternative way to accelerate this seismic processing step. Furthermore, we compared the results obtained by the proposed methodology with an algorithm based on comparing the short-time averages with long-time averages. Finally, we performed the static correction calculation to ensure that the time distortion resulting from the terrain and the low-velocity layer was mitigated in shoot gathers and in the stacked section. [ABSTRACT FROM AUTHOR]

Research has examined COVID-19's impacts on parks, but little research has studied the pandemic's impact on in-person interpretation. Based on responses from 431 visitors to Alberta's provincial parks before and during the pandemic, this paper investigates how the pandemic affected visitor intentions to attend personal interpretation programs. Intentions to attend programs decreased after the pandemic started, but were greater for respondents who had attended programs the previous season. Key reasons for not attending programs were not to become infected and not to infect others. Intentions to attend programs were greater for males than females, and greater for respondents with an increased education and a larger household income. Despite pandemic concerns, 53% of respondents said that programs should be offered, with highest support for amphitheater shows, followed by guided hikes, point duties, and family events. Park managers should clearly communicate the benefits and safety measures employed for interpretation programs. [ABSTRACT FROM AUTHOR]

Dairy farms have become more reliant on technology. The overall aim of this study was to better understand how dairy farmers view technology and its effects on animal care, including their views on the prospect of integrating gene-editing technology in the future. Virtual-semistructured interviews were conducted with dairy farmers (n = 11) from British Columbia and Alberta. To facilitate discussion, the participants were asked to develop and discuss a timeline describing when and why various technologies were adopted on their farm. Although farmers defined technology broadly and affecting multiple aspects of farm management, this paper focuses on their views regarding how technology can affect animal care. Following thematic analysis of the data, the following 3 themes emerged: (1) the changing role of the farmer (including intergenerational considerations and learning new technology), (2) the effect of technology on the cow and her relationship with the farmer and, (3) technology as the future of the farm. The discussions also highlight the concerns that some farmers have regarding challenges associated with reduced human-animal interactions and effective use of the large amounts of data that are collected through technology. We also specifically asked the participants their views about gene editing as a potential future technology. Most of the participants did not specifically address their views on gene editing, but they spoke about the effect on genetic technologies more generally, often making references to genomic testing. However, some questioned how this technology may affect farmers more generally and spoke about how it could affect human-animal relationships. These results illustrate differences among farmers in the way they view technology and how this can affect the dairy cattle they care for. [ABSTRACT FROM AUTHOR]

Purpose: Patients with coronary artery disease (CAD) experience significant angina symptoms and lifestyle changes. Revascularization procedures can result in better patient-reported outcomes (PROs) than optimal medical therapy (OMT) alone. This study evaluates the impact of response shift (RS) on changes in PROs of patients with CAD across treatment strategies., Methods: Data were from patients with CAD in the Alberta Provincial Project on Outcome Assessment in Coronary Heart Disease (APPROACH) registry who completed the 16-item Canadian version of the Seattle Angina Questionnaire at 2 weeks and 1 year following a coronary angiogram. Multi-group confirmatory factor analysis (MG-CFA) was used to assess measurement invariance across treatment groups at week 2. Longitudinal MG-CFA was used to test for RS according to receipt of coronary artery bypass grafting (CABG), percutaneous coronary intervention (PCI), or optimal medical therapy (OMT) alone., Results: Of the 3116 patients included in the analysis, 443 (14.2%) received CABG, 2049(65.8%) PCI, and the remainder OMT alone. The MG-CFA revealed a partial-strong invariance across the treatment groups at 2 weeks (CFI = 0.98, RMSEA [90% CI] = 0.05 [0.03, 0.06]). Recalibration RS was detected on the Angina Symptoms and Burden subscale and its magnitude in the OMT, PCI, and CABG groups were 0.32, 0.28, and 0.53, respectively. After adjusting for RS effects, the estimated target changes were largest in the CABG group and negligible in the OMT group., Conclusion: Adjusting for RS is recommended in studies that use SAQ-CAN to assess changes in patients with CAD who have received revascularization versus OMT alone., (© 2023. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)

Purpose: Unsupervised item-response theory (IRT) models such as polytomous IRT based on recursive partitioning (IRTrees) and mixture IRT (MixIRT) models can be used to assess differential item functioning (DIF) in patient-reported outcome measures (PROMs) when the covariates associated with DIF are unknown a priori. This study examines the consistency of results for IRTrees and MixIRT models., Methods: Data were from 4478 individuals in the Alberta Provincial Project on Outcome Assessment in Coronary Heart Disease registry who received cardiac angiography in Alberta, Canada, and completed the Hospital Anxiety and Depression Scale (HADS) depression subscale items. The partial credit model (PCM) based on recursive partitioning (PCTree) and mixture PCM (MixPCM) were used to identify covariates associated with differential response patterns to HADS depression subscale items. Model covariates included demographic and clinical characteristics., Results: The median (interquartile range) age was 64.5(15.7) years, and 3522(78.5%) patients were male. The PCTree identified 4 terminal nodes (subgroups) defined by smoking status, age, and body mass index. A 3-class PCM fits the data well. The MixPCM latent classes were defined by age, disease indication, smoking status, comorbid diabetes, congestive heart failure, and chronic obstructive pulmonary disease., Conclusion: PCTree and MixPCM were not consistent in detecting covariates associated with differential interpretations of PROM items. Future research will use computer simulations to assess these models' Type I error and statistical power for identifying covariates associated with DIF., (© 2023. The Author(s).)

Organizations often use agri-environmental policies and program to promote Best Management Practice (BMPs) adoption, which are meant to mitigate on-farm environmental risks. However, producer preferences for programs and collaborative organizations are often overlooked during the process of policy implementation. Producers are likely to feel more inclined to accept information from, and otherwise engage with, some organizations over others. Overlooking such preferences may have led to inefficient policies that did not engage the intended audience, resulting in minimal BMP uptake. The goal of this paper is to investigate the preferences of Canadian producers for climate-mitigative policy options and partner organizations that impact or encourage BMP adoption, two variables deemed critical to on-farm BMP adoption decisions. We use a survey-based method for assessing individuals' priorities in the form of most and least preferred choices from a set of available options. Our analysis reveals that producers prefer financial support, while certification, extension, carbon offsets and carbon taxation are all significantly less likely to be chosen as the most preferred climate policy. As for organizations producers prefer to work with, the provincial government and county or municipal governments are their first-choice collaborative organizations when it comes to climate-mitigation in agriculture. In contrast, producers in Alberta are more likely to choose environmental NGOs as their least preferred organization. The results also show these preferences are altered when interacted with producer characteristics. Beliefs about climate change significantly alter their policy preferences: those who believe in human-caused (anthropogenic) climate change are more likely to support several climate-mitigative policies, with the notable exception of a tax on carbon and carbon offsets. We also find farm typology and being an avid adopter of BMPs alters producers' policy preferences, but not organization preferences. Given the challenges to changing producers' on-farm decision making, the results of this paper can help guide those who develop and implement climate-mitigative policies and programs by providing an overview of preferred policies that are more likely to be accepted by agricultural producers. This includes helping tailor policy approaches in collaboration with trusted partners and understanding what factors, such as farm typology and climate change beliefs, may influence the acceptance of these climate-mitigative policies. [Display omitted] • Farmers' policy and organization preferences shape adoption of proven climate-mitigative BMPs. • Male and strongly conservative farmers unanimously oppose carbon taxation. • Farmers hold differing views of organizations in the agri-environmental space. Messenger effects matter. • Farmer are largely unwilling to work with environmental organizations on climate BMP adoption. • Farmers stated climate beliefs significantly affect their policy preferences, except for carbon taxation. [ABSTRACT FROM AUTHOR]

Most minimum wage studies are identified on small, plentiful, mostly expected wage changes, spread out over time. A recent set of changes have instead been large, rapid, and unexpected, following the "Fight for $15" movement. Alberta is the first North American province, state, or territory to have this $15 minimum wage, with an unexpectedly large increase (47%) occurring over a short time horizon (3 years). The employment effects of this policy are estimated using a synthetic control approach on Labour Force Survey data. Similar to the existing literature, workers moved up the wage distribution, increment by increment, but with a higher distributional reach. Employment losses occurred at similar elasticities, but with large level changes, mostly among younger workers. Newer to the literature, regional employment losses were found in four of the five non-urban economic regions, but not in Alberta's two main cities, showing the significance and nuance of regional heterogeneity. [ABSTRACT FROM AUTHOR]

Introduction: Clinical mastitis (CM) treatment decision-making is a multifaceted process that remains relatively understudied, despite CM being one of the most prevalent diseases on dairy farms worldwide, contributing greatly to the use of antimicrobials in the dairy industry. This study aimed to gain insights into decision-making mechanisms employed by dairy farmers in British Columbia and Alberta, Canada, when dealing with CM. Methods: Interviews were held with 15 dairy farmers in the Canadian provinces of British Columbia and Alberta and analyzed using reflexive thematic analysis to develop both the decision-pathway and overarching themes influencing the CM decisions by farmers in this region. Results and discussion: The analysis generated a decision-making process that begins with identification and classification of CM, guided by visual characteristics of milk and the udder, available milk production and quality data, presence of systemic signs, and additional diagnostics. Subsequently, CM cases are assessed based on the likelihood of cure, value of the cow, and herd goals to decide whether antimicrobial treatment is desired. Next, a treatment choice is made by evaluating severity and urgency of the case, availability of drugs and timing of the case. Finally, definition of treatment success and progression over time following the treatment decision guides the termination of treatment. Three overarching themes were generated that shape the decision-making process: 'Personal attributes', including personal approach and experiential knowledge; 'Inter-actor dynamics', such as shared decision-making and dynamics among producers, veterinarians, and milkers; and 'Moving beyond protocols', which highlights the dynamic nature of mastitis decision-making. These insights have the potential to inform the development of effective interventions to improve CM antimicrobial use that align with the reality of farming operations within Western Canada, and potentially beyond. [ABSTRACT FROM AUTHOR]

Background: During the COVID-19 pandemic, youth had rising mental health needs and changes in service accessibility. Our study investigated changes in use of mental health care services for Canadian youth in Alberta before and during the COVID-19 pandemic. We also investigated how youth utilization patterns differed for subgroups based on social factors (i.e., age, gender, socioeconomic status, and geography) previously associated with health care access. Methods: We used cross-sectional population-based data from Alberta, Canada to understand youth (15–24 year) mental health care use from 2018/19 to 2021/22. We performed interrupted time series design, segmented regression modeling on type of mental health care use (i.e., general physician, psychiatrist, emergency room, and hospitalization) and diagnosis-related use. We also investigated the characteristics of youth who utilized mental health care services and stratified diagnosis-related use patterns by youth subgroups. Results: The proportion of youth using mental health care significantly increased from 15.6% in 2018/19 to 18.8% in 2021/22. Mental health care use showed an immediate drop in April 2020 when the COVID-19 pandemic was declared and public health protections were instituted, followed by a steady rise during the next 2 years. An increase was significant for general physician and psychiatrist visits. Most individual diagnoses included in this study showed significant increasing trends during the pandemic (i.e., anxiety, adjustment, ADHD, schizophrenia, and self-harm), with substance use showing an overall decrease. Mortality rates greatly increased for youth being seen for mental health reasons from 71 per 100,000 youth in 2018/19 to 163 per 100,000 in 2021/22. In addition, there were clear shifts over time in the characteristics of youth using mental health care services. Specifically, there was increased utilization for women/girls compared to men/boys and for youth from wealthier neighborhoods. Increases over time in the utilization of services for self-harm were limited to younger youth (15–16 year). Conclusions: The study provides evidence of shifts in mental health care use during the COVID-19 pandemic. Findings can be used to plan for ongoing mental health needs of youth, future pandemic responses, and other public health emergencies. [ABSTRACT FROM AUTHOR]

Background: Wildfire fuels are commonly mapped via manual interpretation of aerial photos. Alternatively, RGB satellite imagery offers data across large spatial extents. A method of individual tree detection and classification is developed with implications to fuel mapping and community wildfire exposure assessments. Methods: Convolutional neural networks are trained using a novel generational training process to detect trees in 0.50 m/px RGB imagery collected in Rocky Mountain and Boreal natural regions in Alberta, Canada by Pleiades-1 and WorldView-2 satellites. The workflow classifies detected trees as 'green-in-winter'/'brown-in-winter', a proxy for coniferous/deciduous, respectively. Key results: A k-fold testing procedure compares algorithm detections to manual tree identification densities reaching an R 2 of 0.82. The generational training process increased achieved R 2 by 0.23. To assess classification accuracy, satellite detections are compared to manual annotations of 2 cm/px drone imagery resulting in average F 1 scores of 0.85 and 0.82 for coniferous and deciduous trees respectively. The use of model outputs in tree density mapping and community-scale wildfire exposure assessments is demonstrated. Conclusion & Implications: The proposed workflow automates fine-scale overstorey tree mapping anywhere seasonal (winter and summer) 0.50 m/px RGB satellite imagery exists. Further development could enable the extraction of additional properties to inform a more complete fuel map. High-resolution satellite imagery is collected around various communities in Alberta, Canada. Machine learning algorithms are used to detect and classify individual trees from collected imagery in an automated fashion. Use of the algorithm in fuel mapping and community wildfire exposure assessments is explored. [ABSTRACT FROM AUTHOR]

Background: Individuals experiencing socioeconomic inequity have worse health outcomes and face barriers to palliative and end-of-life care. There is a need to develop palliative care programs tailored to this underserved population. Objectives: To understand the characteristics and symptom profiles of a group of urban patients experiencing socioeconomic inequity and receiving palliative care. Design: Descriptive exploratory analysis of a patient dataset. The patient dataset was generated through a pilot research study with patients experiencing socioeconomic inequity and life-limiting illness who received a community-based palliative care intervention. Methods: The intervention took place over 1 year in the Palliative Care Outreach and Advocacy Team, a community-based urban palliative care clinic in Edmonton, Alberta, Canada, serving persons experiencing socioeconomic inequity. Participants had to be at least 18 years of age, be able to communicate in English, require palliative care for a life-limiting illness, and be able to consent to inclusion in the study. Results: Twenty-five participants were enrolled. Participants predominantly identified as male and Indigenous, experienced poverty and housing instability, and had metastatic cancer. Our participants rated their pain, shortness of breath, and anxiety as more severe than the broader community-based palliative care population in the same city. Most patients died in inpatient hospices (73%). Conclusion: Our analysis provides an in-depth picture of an understudied, underserved population requiring palliative care. Given the higher symptom severity experienced by participants, our analysis highlights the importance of person-centered palliative care. We suggest that socioeconomic inequity should be considered in patients with life-limiting illnesses. Further research is needed to explore palliative care delivery to those facing socioeconomic inequity. [ABSTRACT FROM AUTHOR]

Background: Being ready for discharge is vital to successful hospital-to-home transitions. For many patients, however, the transition from psychiatric hospital care to outpatient care can be challenging. An in-depth understanding of the mental health conditions of patients at discharge is crucial and instructive for recovery research. Objective: The purpose of this study was to determine the prevalence and risk factors of depression, anxiety, and poor well-being symptoms among patients who are about to be discharged from psychiatric units in Alberta, Canada. Our aim was to help determine the prevalence of anxiety, depression, and overall well-being among the general psychiatric inpatient population in Alberta before discharge and the potential factors which may influence this. Methods: This epidemiological study used a cross-sectional quantitative survey from March 8, 2022, to November 5, 2023, to assess depression, anxiety, and wellbeing. Participants were invited to complete an online questionnaire that contained demographics, clinical information, and responses to the PHQ-9, GAD-7, and WHO-5 questionnaires. SPSS version 25 was used to analyze the data. Descriptive, univariate, and multivariate regression analyses were employed. Result: The study found that the prevalence of likely depression, anxiety, and poor well-being among patients about to be discharged was 37.1%, 56.4%, and 48.3%, respectively. Based on a logistic regression model, there was a statistically significant association between anxiety, depression, and poor well-being diagnoses and multiple socio-demographic and clinical factors such as ethnicity, primary mental health diagnoses, education level, housing status, depression, anxiety, and well-being at baseline. Conclusion: Mental health assessment at discharge is a critical step in the recovery and transition of care. There is still a need for further research to identify the underlying causes and robust predictors of mental health symptoms in patients about to be discharged and to provide appropriate interventions and supportive resources both before and following discharge. Future research utilizing these findings may help identify key opportunities to improve outcomes for patients after discharge. [ABSTRACT FROM AUTHOR]

Rapid growth in outdoor recreation may have important and varied effects on terrestrial mammal communities. Few studies have investigated factors influencing variation in observed responses of multiple mammal species to recreation. We used data from 155 camera traps, in western Alberta (Canada), and a hierarchical Bayesian community modelling framework to document 15 mammal species responses to recreation, test for differential responses between predators and prey, and evaluate the influence of local context. Factors characterizing context were trail designation (i.e., use by motorized vs non-motorized), management type, forest cover, landscape disturbance, and season. We used three measures to characterize variation in recreation pressure: distance to trail, trail density, and an index of recreation intensity derived from the platform Strava. We found limited evidence for strong or consistent effects of recreation on mammal space use. However, mammal space use was better explained by an interaction between recreation and the influencing factors than by either on their own. The strongest interaction was between trail density and management type; mammals were more likely to avoid sites near a higher density of trails in areas with more restrictive management. We found that responses to recreation varied with the trail designation, although there were not clear or consistent differences between responses to trails designated for motorized vs. non-motorized use. Overall, we found that responses were species- and context-dependent. Limiting the density of trails may be important for reducing negative impacts to mammals within conservation areas. We show that using multiple measures of recreation yields more insight into the varied effects of human disturbances on wildlife. We recommend investigating how different characteristics of recreation (noise, speed, and visibility) influence animal behaviors. Multispecies monitoring and modelling across multiple landscapes that vary in recreation pressure can lead to an adaptive management approach to ensuring outdoor recreation coexistence with wildlife. [ABSTRACT FROM AUTHOR]

Background: COVID-19 and resulting health system and policy decisions led to significant changes in healthcare use by nursing homes (NH) residents. It is unclear whether healthcare outcomes were similarly affected among older adults in assisted living (AL). This study compared hospitalization events in AL and NHs during COVID-19 pandemic waves 1 through 4, relative to historical periods. Methods: This was a population-based, repeated cross-sectional study using linked clinical and health administrative databases (January 2018 to December 2021) for residents of all publicly subsidized AL and NH settings in Alberta, Canada. Setting-specific monthly cohorts were derived for pandemic (starting March 1, 2020) and comparable historical (2018/2019 combined) periods. Monthly rates (per 100 person-days) of all-cause hospitalization, hospitalization with delayed discharge, and hospitalization with death were plotted and rate ratios (RR) estimated for period (pandemic wave vs historical comparison), setting (AL vs NH) and period-setting interactions, using Poisson regression with generalized estimating equations, adjusting for resident and home characteristics. Results: On March 1, 2020, there were 9,485 AL and 14,319 NH residents, comparable in age (mean 81 years), sex (>60% female) and dementia prevalence (58–62%). All-cause hospitalization rates declined in both settings during waves 1 (AL: adjusted RR 0.60, 95%CI 0.51–0.71; NH: 0.74, 0.64–0.85) and 4 (AL: 0.76, 0.66–0.88; NH: 0.65, 0.56–0.75) but unlike NHs, AL rates were not significantly lower during wave 2 (and increased 27% vs NH, January 2021). Hospitalization with delayed discharge increased in NHs only (during and immediately after wave 1). Both settings showed a significant increase in hospitalization with death in wave 2, this increase was larger and persisted longer for AL. Conclusions: Pandemic-related changes in hospitalization events differed for AL and NH residents and by wave, suggesting unique system and setting factors driving healthcare use and outcomes in these settings in response to this external stress. [ABSTRACT FROM AUTHOR]

Biospheres are working landscapes that promote conservation and sustainable land-use while also providing space for outdoor recreation, environmental education, and research. This study focuses on Elk Island National Park in Alberta, Canada, which is part of the Beaver Hills Biosphere. The park is home to bison and black bears and growing visitor numbers have increased the potential for human-wildlife conflict. With a focus on the promotion of human-wildlife coexistence, this study takes a mixed-methods approach to develop and evaluate an environmental education program targeted to improve visitor awareness about safety around bison and bears at Elk Island National Park. The program was found to be effective in teaching visitors about safe behaviors around wildlife and key themes arose about important learning outcomes. In particular, the findings indicate interpretation and environmental education programs have the potential to increase awareness about safety for both humans and wildlife and shift away from more human-centric perceptions. [ABSTRACT FROM AUTHOR]

Eddy covariance (EC) is one of the most effective ways to directly observe evaporation from a lake surface. However, the deployment of EC systems on lakes is costly and technically challenging, which engenders a need for accurate modelling of evaporation from reservoirs for effective management. This study aims to (1) refactor the Canadian Small Lakes Model (CSLM) into modern high-level programming languages in open-source repositories and (2) evaluate evaporation estimates from the CSLM using 9 years of EC observations of a pit lake in Northern Alberta. The CSLM is a 1-D physical lake model simulating a mixing layer and an arbitrary thick skin layer which interfaces with the atmosphere and includes a module for ice dynamics. It was developed to interface with the Canadian global coupled models as part of the surface classification scheme and thus utilizes widely accessible forcing data. In this study the CSLM evaporation estimates are also compared to a commonly used bulk transfer method of estimating evaporation. In general, the CSLM had smaller open-water season error (RMSE of 0.70 mm d -1) than the bulk transfer method (RMSE of 0.83 mm d -1). However, if EC data are available, further improvement can be gained by using an artificial neural network to adjust the modelled fluxes (RMSE of 0.51 mm d -1). This final step can be very useful for gap-filling missing data from lake observation networks as there has been recent attention on the limited coverage of direct open-water evaporation observations in the literature. [ABSTRACT FROM AUTHOR]

Background: Advance care planning (ACP) is a process which enables patients to communicate wishes, values, fears, and preferences for future medical care. Despite patient interest in ACP, the frequency of discussions remains low. Barriers to ACP may be mitigated by involving non-physician clinic staff, preparing patients ahead of visits, and using tools to structure visits. An ACP care pathway incorporating these principles was implemented in longitudinal generalist outpatient care, including primary care/family medicine and general internal medicine, in two Canadian provinces. This study aims to understand clinician experiences implementing the pathway. Methods: The pathway was implemented in one family practice in Alberta, two family practices in British Columbia (BC), and one BC internal medicine outpatient clinic. Physicians and allied health professionals delivered structured pathway visits based on the Serious Illness Conversation Guide. Twelve physicians and one social worker participated in interviews or focus groups at the end of the study period. Qualitative data were coded inductively using an iterative approach, with regular meetings between coders. Results: Clinicians described experiences with the ACP care pathway, impact at the clinician level, and impact at the patient level. Within each domain, clinicians described barriers and facilitators experienced during implementation. Clinicians also reflected candidly about potential for future implementation and the sustainability of the pathway. Conclusions: While the pathway was implemented slightly differently between provinces, core experiences were that implementation of the pathway, and integration with current practice, were feasible. Across settings, similar themes recurred regarding usefulness of the pathway structure and its tools, impact on clinician confidence and interactions with patients, teamwork and task delegation, compatibility with existing workflow, and patient preparation and readiness. Clinicians were supportive of ACP and of the pathway. Trial registration: The study was prospectively registered with clinicaltrials.gov (NCT03508557). Registered April 25, 2018. https://classic.clinicaltrials.gov/ct2/show/NCT03508557. [ABSTRACT FROM AUTHOR]

Background: Urinary tract infections (UTIs) are one of the most common infections reported in older adults, across all settings. Although a diagnosis of a UTI requires specific clinical and microbiological criteria, many older adults are diagnosed with a UTI without meeting the diagnostic criteria, resulting in unnecessary antibiotic treatment and their potential side effects, and a failure to find the true cause of their presentation to hospital. Objective: The aim of this study was to evaluate the accuracy of UTI diagnoses amongst hospitalized older adults based on clinical and microbiological findings, and their corresponding antibiotic treatment (including complications), in addition to identifying possible factors associated with a confirmed UTI diagnosis. Methods: A single-center retrospective cross-sectional study of older adult patients (n = 238) hospitalized at the University of Alberta Hospital with an admission diagnosis of UTI over a one-year period was performed. Results: 44.6% (n = 106) of patients had a diagnosis of UTI which was supported by documents clinical and microbiological findings while 43.3% (n = 103) of patients had bacteriuria without documented symptoms. 54.2% (n = 129) of all patients were treated with antibiotics, despite not having evidence to support a diagnosis of a UTI, with 15.9% (n = 37) of those patients experiencing complications including diarrhea, Clostridioides difficile infection, and thrush. History of major neurocognitive disorder was significantly associated with diagnosis of UTI (p = 0.003). Conclusion: UTIs are commonly misdiagnosed in hospitalized older adults by healthcare providers, resulting in the majority of such patients receiving unnecessary antibiotics, increasing the risk of complications. These findings will allow for initiatives to educate clinicians on the importance of UTI diagnosis in an older adult population and appropriately prescribing antibiotics to prevent unwanted complications. [ABSTRACT FROM AUTHOR]

Dinosaur skeletal material from the mid-Cretaceous of Canada is rare; however, the Cenomanian-aged Dunvegan Formation of northeastern British Columbia and northwestern Alberta is rich with ichnofossils attributed to nodosaurid ankylosaurs. A long bone (Hudson's Hope Museum specimen HH 2017.010.002) collected in 1993 from the Murray River of northeastern British Columbia is identified here as an ankylosaur femur. Femoral measurements of the bone plotted against femoral measurements of major dinosaur clades, combined with observations on femoral features, indicate that the bone belongs to an ankylosaur. The specimen is too damaged to assign to Nodosauridae or Ankylosauridae. HH 2017.010.002 represents the first limb bone material recovered from the Dunvegan Formation; previous ankylosaur material described from the Dunvegan Formation includes associated vertebrae and ribs from British Columbia and osteoderms from Alberta, as well as the presumed nodosaurid footprints Tetrapodosaurus borealis Sternberg, 1932. The Cenomanian is a time of great ecological change in North America, including the possible extirpation of ankylosaurid ankylosaurs. Fossils from the Dunvegan Formation can thus yield important insight into the responses of fauna to this major transition. [ABSTRACT FROM AUTHOR]

The residual flexural behavior of semilightweight prestressed concrete voided slab girders taken from a decommissioned 28-year-old bridge near Barrhead, Alberta, Canada was investigated. The residual flexural behaviors under loads corresponding to the serviceability limit state (SLS), the ultimate limit state (ULS), and the failure state were evaluated using four-point bending tests. Four girders with different deterioration levels were tested, with one girder exhibiting no visible deterioration considered as the control girder. Material tests on concrete, mild steel reinforcement, and prestressing strands were conducted to better understand girder behavior. Strand corrosion reduced the girder flexural strength by 14%–22% and changed the failure mode from concrete crushing after steel yielding to undesirable strand rupture prior to yielding. However, all girders, regardless of deterioration level, showed satisfactory performance under SLS and ULS loads. The effective prestress force was also studied using digital image correlation (DIC). North American bridge design codes were used to predict the cracking load and flexural strength considering the influence of different corrosion effects. Steel area loss was shown to be the most important factor for both cracking and flexural capacity reduction. [ABSTRACT FROM AUTHOR]

This study examined opportunities and barriers for implementing evidence-based Social and Emotional Learning (SEL) programs in Prairie Canadian Schools. Educators from Manitoba, Saskatchewan and Alberta completed an online survey on SEL feasibility and reported on five feasibility domains: (1) attitudes about SEL, (2) knowledge about SEL, (3) job stress, (4) resources for implementing SEL, and (5) SEL practices. Results indicated that positive attitudes toward SEL significantly predicted increased perceived feasibility for evidence-based SEL implementation. Additionally, both knowledge and access to resources predicted increased SEL practice by Prairie Canadian educators. Analyses for open-ended responses paralleled quantitative results. Specifically, Canadian educators had positive views about SEL programing, but like previous research conducted in other countries, indicated that they require better access to SEL training, and resources (e.g., more time to plan and teach SEL, funding and program materials). A unique Canadian context-related finding from this study was that some Prairie Canadian educators indicated a paucity of French materials for SEL programs, which impeded implementation. In order to effectively implement evidence-based SEL in Prairie Canadian schools, policy makers must address the indicated barriers for Canadian educators, such as increased SEL training and resources, and easy access to appropriate French materials. [ABSTRACT FROM AUTHOR]

We present a study on the effectiveness of using varying data sizes to transfer crop type classification models from one year to the next, emphasizing the balance between data sufficiency and model accuracy. The significance of crop detection through satellite imaging lies in its potential to enhance agricultural productivity and resource management. Machine learning, particularly techniques like long short-term memory (LSTM) models, has become instrumental in interpreting these satellite data due to its predictive accuracy and adaptability. However, the direct application of models trained in one year to subsequent years poses challenges due to variations in environmental conditions and agricultural practices. Fine-tuning pre-existing models is a prevalent strategy to overcome these temporal discrepancies, though it necessitates a careful evaluation of the quantity and relevance of new data. This study explores the cost–benefit of fine-tuning existing models versus developing new ones based on the quantity of new data, utilizing LSTM models for their transferability and practicality in agricultural applications. Experiments conducted using satellite data from farms in southern Alberta reveal that smaller datasets, with fewer than 25 fields per class, can effectively fine-tune models for accurate interannual classification, while larger datasets are more conducive to training new models. This poses a key challenge in optimizing data usage for crop classification, straddling the line between data sufficiency and computational efficiency. The findings offer valuable insights for optimizing data use in crop classification, benefiting both academic research and practical agricultural applications. [ABSTRACT FROM AUTHOR]

In this study, we introduce a novel method for estimating undrained shear strength (C u) by incorporating SPT depth. A comprehensive dataset of 328 data groups from locations in Alberta was employed to investigate the correlation between C u and various factors such as Atterberg limits, moisture content, sampling depth, and both field SPT numbers (N) and modified SPT numbers (N 60), utilizing Pearson Correlation Analysis. The performance of the new approach was evaluated using metrics such as mean absolute error (MAE), mean square error (MSE), root mean square error (RMSE), mean absolute percentage error (MAPE), and coefficient of determination (R2). Comparative assessments of the new approach were made with existing approaches for C u estimation. Furthermore, the proposed approach was applied to calculate C u based on borehole information and moisture content data from 702 projects in Alberta, and its validity was verified against published information. The results demonstrate that the new approach yields C u calculations with comparatively small discrepancies. This paper presents a reliable tool for estimating the average C u of clay till in Alberta in a preliminary design state, with potential applicability to other regions as well. • Propose an innovative approach to calculate Cu based on SPT, D and w n. • A large dataset was employed to evaluate the existing model and develop a new one. • Develop a map of Cu of clay till based on data from702 projects in Alberta. • Review and reevaluate the current soil classification matrix. [ABSTRACT FROM AUTHOR]

Goal: This study aimed to examine provincial differences in patient spending for cancer care and reductions in household spending including decisions to forego care in Canada. Methods: Nine-hundred and one patients with cancer, from twenty cancer centers across Canada, completed a self-administered questionnaire (P-SAFE version 7.2.4) (344 breast, 183 colorectal, 158 lung, and 216 prostate) measuring direct and indirect costs and spending changes. Results: Provincial variations showed a high mean out-of-pocket cost (OOPC) of CAD 938 (Alberta) and a low of CAD 280 (Manitoba). Differences were influenced by age and income. Income loss was highest for Alberta (CAD 2399) and lowest for Manitoba (CAD 1126). Travel costs were highest for Alberta (CAD 294) and lowest for British Columbia (CAD 67). Parking costs were highest for Ontario (CAD 103) and lowest for Manitoba (CAD 53). A total of 41% of patients reported reducing spending, but this increased to 52% for families earning

Stable isotope, trace element, and cathodoluminescence analyses were performed on gastropods and matrix from rock cores of the Middle to Upper McMurray Formation (Lower Cretaceous/Aptian, Northwestern Alberta, Canada) to characterize the extent to which pristine material remained from which depositional environmental conditions could be estimated. Aragonitic gastropod shells retain their original depositional chemistry, and along with other closely associated authigenic carbonate components, indicate that the Middle to Upper McMurray Formation was deposited in a freshwater environment that was part of a continent-scale river system. [ABSTRACT FROM AUTHOR]

Alberta's forest industry is predicted to be impacted by a medium-term decline in timber supply. Intensive silviculture tools, such as pre-commercial thinning, have been shown to increase individual tree growth, shorten rotation lengths, and improve stand merchantability in important commercial species such as lodgepole pine. However, lodgepole pine stands are susceptible to western gall rust infections, and thinning at an early stage may increase infection rates. This study collected tree and stand level data from 33 operational harvest origin lodgepole pine stands consisting of 11 stands thinned at age 17–19 years (PCT_18), 11 stands thinned at age 23–25 (PCT_24), and 11 unthinned stands. Approximately 40 years after pre-commercial thinning, merchantable volume is similar in all stands but thinned stands, regardless of timing, had greater individual tree size (~15% higher) compared to unthinned stands. Pre-commercially thinned stands also had a higher potential for commercial thinning since they have lower variability in tree size and longer live crown lengths. In addition, delayed thinning (PCT_24) reduced western gall rust infections and the severity of infections compared to both PCT_18 and unthinned stands. In conclusion, pre-commercial thinning should be considered for lodgepole pine stands in order to address timber supply issues in Alberta. [ABSTRACT FROM AUTHOR]

Background: Family violence, which includes intimate partner abuse, child abuse, and elder abuse, is a serious public health concern. Primary healthcare (PHC) offers a vital opportunity to identify and address family violence, yet barriers prevent the effective implementation of family violence interventions in PHC settings. The purpose of this study is to improve family violence identification and response in Alberta's PHC settings by exploring readiness factors. Methods: An integrated knowledge translation approach, combining implementation science and participatory action research, was employed to develop a readiness assessment tool for addressing family violence within PHC settings in Alberta. The research involved three phases: phase 1 involved a rapid evidence assessment, phase 2 engaged a panel of healthcare and family violence experts to explore readiness components in the Alberta context, and phase 3 utilized a 3-round Delphi consensus-building process to refine readiness indicators. Results: Phase 1 findings from a rapid evidence assessment highlighted five main models/tools for assessing readiness to implement family violence interventions in PHC settings. In phase 2, additional concepts were identified through exploration with healthcare and family violence expert panel members, resulting in a total of 16 concepts for assessing family violence readiness within the Alberta PHC context. The 3-round Delphi consensus-building process in Phase 3 involved nine panelists, who collectively agreed on the inclusion of all concepts and indicators, yielding a total of 60 items for the proposed readiness assessment tool for addressing family violence in PHC within Alberta. Conclusion: The current study lays the groundwork for future family violence intervention programs, offering insights into key components that promote readiness for implementing comprehensive programs and supporting PHC organizations in effectively addressing family violence. [ABSTRACT FROM AUTHOR]

Background: Our previous research showed that, in Alberta, Canada, a higher proportion of visits to emergency departments and urgent care centres by First Nations patients ended in the patient leaving without being seen or against medical advice, compared with visits by non–First Nations patients. We sought to analyze whether these differences persisted after controlling for patient demographic and visit characteristics, and to explore reasons for leaving care. Methods: We conducted a mixed-methods study, including a population-based retrospective cohort study for the period of April 2012 to March 2017 using provincial administrative data. We used multivariable logistic regression models to control for demographics, visit characteristics, and facility types. We evaluated models for subgroups of visits with pre-selected illnesses. We also conducted qualitative, in-person sharing circles, a focus group, and 1-on-1 telephone interviews with health directors, emergency care providers, and First Nations patients from 2019 to 2022, during which we reviewed the quantitative results of the cohort study and asked participants to comment on them. We descriptively categorized qualitative data related to reasons that First Nations patients leave care. Results: Our quantitative analysis included 11 686 287 emergency department visits, of which 1 099 424 (9.4%) were by First Nations patients. Visits by First Nations patients were more likely to end with them leaving without being seen or against medical advice than those by non–First Nations patients (odds ratio 1.96, 95% confidence interval 1.94–1.98). Factors such as diagnosis, visit acuity, geography, or patient demographics other than First Nations status did not explain this finding. First Nations status was associated with greater odds of leaving without being seen or against medical advice in 9 of 10 disease categories or specific diagnoses. In our qualitative analysis, 64 participants discussed First Nations patients' experiences of racism, stereotyping, communication issues, transportation barriers, long waits, and being made to wait longer than others as reasons for leaving. Interpretation: Emergency department visits by First Nations patients were more likely to end with them leaving without being seen or against medical advice than those by non–First Nations patients. As leaving early may delay needed care or interfere with continuity of care, providers and departments should work with local First Nations to develop and adopt strategies to retain First Nations patients in care. [ABSTRACT FROM AUTHOR]

Bovine respiratory disease (BRD) is the leading cause of morbidity and mortality in cattle raised in North America. At the feedlot, cattle are subject to metaphylactic treatment with macrolides to prevent BRD, a practice that may promote antimicrobial resistance and has resulted in an urgent need for novel strategies. Mannheimia haemolytica is one of the major bacterial agents of BRD. The inhibitory effects of two amphipathic, α-helical (PRW4, WRL3) and one β-sheet (WK2) antimicrobial peptides were evaluated against multidrug-resistant (MDR) M. haemolytica isolated from Alberta feedlots. WK2 was not cytotoxic against bovine turbinate (BT) cells by the MTT (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide) assay. All three peptides inhibited M. haemolytica, with WK2 being the most efficacious against multiple isolates. At 8–16 µg/mL, WK2 was bactericidal against Mh 330 in broth, and at 32 µg/mL in the presence of BT cells, it reduced the population by 3 logs CFU/mL without causing cytotoxic effects. The membrane integrity of Mh 330 was examined using NPN (1-N-phenylnaphthylamine) and ONPG (o-Nitrophenyl β-D-galactopyranoside), with both the inner and outer membranes being compromised. Thus, WK2 may be a viable alternative to the use of macrolides as part of BRD prevention and treatment strategies. [ABSTRACT FROM AUTHOR]

In this article, we look at discourses stemming from the legacy of 'Western Hospitality' in the Young Canadians program offered by the Calgary Stampede in Alberta, Canada.Calgary Stampede is an international known rodeo shows organized every July in the province. The Young Canadians, the program examined in this article, is a program where youth learn performance skills in vocals and dance culminating each year with a performance at the Grandstand Show at the Calgary Stampede each July. Youth also follow a curriculum developed by the Calgary Stampede Foundation called the Youth Development Framework, which includes students learning what it means to be a good human. Using a photovoice methodology in addition to interviews with the participants, we looked and gained an understanding of how students were using the idea of being a good human in their everyday lives. In this small study, students explained what it means to be a good human, including being respectful of others, following the rules, and being kind. In using Bourdieu's notion of habitus, field, cultural reproduction and power, we noticed that our participants are also part of a privileged group that is recruited and trained in a specific way in order to reproduce the notion of being a good human amid a discourse of 'Western Hospitality' in a white, middle-class and patriarchal culture. From our critical lens, the legacy of 'Western Hospitality' perpetuated through the Calgary Stampede discourse, needs to open up and intentionally welcome a more diverse and inclusive space to better represent a more realistic view of Canadians. [ABSTRACT FROM AUTHOR]

Herbicide resistance in western Canada has increased interest in alternative weed management strategies. Physical impact mills, a form of harvest weed seed control, have been identified as a strategy that may be well suited for Canadian use. The efficacy of the Harrington Seed Destructor, a physical impact mill, was evaluated in 20 producer fields in Alberta on a wide spectrum of weed species over 3 years. Significant differences in weed densities between the physical impact mill treatment and the regular harvest densities were few; however, some population density reductions were observed. Measurable reductions in weed densities may have been limited by the short timeframe of the experiment, the high initial densities of the weeds, or the targeted weed species having dormancy or longer term seedbanks. Additionally, identified knowledge gaps on how best to optimize physical impact mill efficacy may have reduced the efficacy of the physical impact mill in this study. This study showed no conclusive evidence for the efficacy of a physical impact mill on tested weed species under field conditions. However, it did provide a number of important considerations for future studies. [ABSTRACT FROM AUTHOR]

Granular urea fertilizer applied at planting is prone to nitrogen (N) losses in certain environments. Enhanced efficiency fertilizers (EEFs) are developed to mitigate losses and optimize plant uptake. To determine the benefits of EEFs in grain yield and quality enhancement in Canada Western Red Spring (CWRS) wheat, an experiment was conducted from 2019 to 2022 at eight sites in Alberta and Saskatchewan, Canada. The effects of five N sources [urea; urea + urease inhibitor, N-(n-butyl)thiophosphoric triamide (NBPT); urea + nitrification inhibitor, nitrapyrin; urea + dual-inhibitor, NBPT + dicyandiamide; and polymer-coated urea, ESN® (Environmentally Smart Nitrogen®)] and four N rates (60, 120, 180, and 240 kg N ha−1) on CWRS wheat production were examined. Results indicated that N source affected grain yield in Dark Brown Chernozem soils but not in Black Chernozem or Dark Grey Luvisol soils. In Dark Brown Chernozem soils, a dual inhibitor increased grain yield by 3.1% and 3.9% relative to urea and polymer-coated urea, respectively, while all other EEFs attained similar results. The use of a dual inhibitor EEF led to greater net returns compared to urea and polymer-coated urea in the Dark Brown Chernozem soils. Grain protein concentration increased linearly with increasing N rate from 60 to 240 kg N ha−1. Generally, a rate of 120 kg N ha−1 was optimal for CWRS wheat grown in Canadian prairie conditions when coupled with EEFs, particularly a dual inhibitor, and grain yield and protein were often responsive. [ABSTRACT FROM AUTHOR]

This article introduces the special issue of REPCS dedicated to the analysis of the restructuring of higher education in Alberta, Canada. It describes the acceleration of the processes of commodification of education and research and the corporatization of institutional governance under the government that took office in April 2019. The Alberta case is situated within the political economy of this petro-state, governed by a right-wing populist party, as well as in relation to the global trends in post-secondary education driven by neoliberal regimes. Further, the article highlights the cracks in the foundations of modern universities that have deeper historical origins than neoliberalism, and that are widening as the governance and raison d'etre of these institutions are challenged by global socio-ecological crises and Indigenous-led decolonization and climate justice movements. Drawing upon firsthand knowledge, as a participant in the struggles at the University of Alberta, as well as extensive research into the government's restructuring agenda and the impacts on the post-secondary sector, the author outlines proposals for reform of the legislative framework governing the relationship between universities and the state, as well as the internal governance of the institution, and assesses the current terrain of agency for such transformation. [ABSTRACT FROM AUTHOR]

Energy companies in the Athabasca Oil Sands Region in Alberta, Canada are evaluating the viability of incorporating pit lakes into reclamation closure designs to both sequester tailings and re-integrate the mining lease into the broader natural landscape. Lake Miwasin is a pilot-scale oil sands pit lake encompassed by a constructed catchment where the volume of the water cap is not actively managed. This study compared the water balance during the open water season over two consecutive years with contrasting levels of summertime precipitation. The first year had above average rainfall triggering surface water inflow events that diluted the over-winter water volume by ~ 25%. Flushing of the deepest layers of the water column was restricted from May – September as thermal stratification inhibited complete lake mixing. The second year had below average rainfall resulting in minimal surface water inflow and a drop in lake stage of ~ 30 cm. As the constructed catchment lacks both natural water bodies and connectivity to a legacy groundwater system, freshwater additions to the lake during the summer season were governed by rainfall. This research highlights challenges with constructing sustainable reclamation landscapes within a region characterised by variations in interannual and decadal water cycles. [ABSTRACT FROM AUTHOR]

Embedded morphemes are thought to become available during the processing of multi-morphemic words, and impact access to the whole word. According to the edge-aligned embedded word activation theory Grainger & Beyersmann, (2017), embedded morphemes receive activation when the whole word can be decomposed into constituent morphemes. Thus, interfering with morphological decomposition also interferes with access to the embedded morphemes. Numerous studies have examined the effects of interfering with boundary and constituent-internal letters on morphological decomposition by comparing the effect of transposing letters at the morphemic boundary to constituent-internal letters. These studies, which report inconsistent findings, have typically used derived multi-morphemic words (e.g., cleaner), and sometimes use a control replacement letter condition that is not matched to the transposed letter conditions in terms of location. Across five experiments, we test the edge-aligned activation theory by examining the effects of replacing and transposing boundary and constituent-internal letters of compounds. Our findings suggest that replacing boundary letters interferes with access to both embedded constituents, while replacing constituent-internal letters still allows for access to the unaltered constituent, thus compensating for the interference in the altered constituent. Our findings are consistent with the edge-aligned theory with respect to letter replacement, and also imply that letter replacement must match the position of letter transposition when it is used as a control condition. [ABSTRACT FROM AUTHOR]

Maps showing the thickness of sediments above the bedrock (depth to bedrock, or DTB) are important for many geoscience studies and are necessary for many hydrogeological, engineering, mining, and forestry applications. However, it can be difficult to accurately estimate DTB in areas with varied topography, like lowland and mountainous terrain, because traditional methods of predicting bedrock elevation often underestimate or overestimate the elevation in rugged or incised terrain. Here, we describe a machine learning spatial prediction approach that uses information from traditional digital elevation model derived estimates of terrain morphometry and satellite imagery, augmented with spatial feature engineering techniques to predict DTB across Alberta, Canada. First, compiled measurements of DTB from borehole lithologs were used to train a natural language model to predict bedrock depth across all available lithologs, significantly increasing the dataset size. The combined data were then used for DTB modelling employing several algorithms (XGBoost, Random forests, and Cubist) and spatial feature engineering techniques, using a combination of geographic coordinates, proximity measures, neighbouring points, and spatially lagged DTB estimates. Finally, the results were contrasted with DTB predictions based on modelled relationships with the auxiliary variables, as well as conventional spatial interpolations using inverse-distance weighting and ordinary kriging methods. The results show that the use of spatially lagged variables to incorporate information from the spatial structure of the training data significantly improves predictive performance compared to using auxiliary predictors and/or geographic coordinates alone. Furthermore, unlike some of the other tested methods such as using neighbouring point locations directly as features, spatially lagged variables did not generate spurious spatial artifacts in the predicted raster maps. The proposed method is demonstrated to produce reliable results in several distinct physiographic sub-regions with contrasting terrain types, as well as at the provincial scale, indicating its broad suitability for DTB mapping in general. [ABSTRACT FROM AUTHOR]

In this study, we intensively measured the longitudinal productivity and survival of 362 commercially managed honey bee colonies in Canada, over a two-year period. A full factorial experimental design was used, whereby two treatments were repeated across apiaries situated in three distinct geographic regions: Northern Alberta, Southern Alberta and Prince Edward Island, each having unique bee management strategies. In the protein supplemented treatment, colonies were continuously provided a commercial protein supplement containing 25% w/w pollen, in addition to any feed normally provided by beekeepers in that region. In the fumagillin treatment, colonies were treated with the label dose of Fumagilin-B® each year during the fall. Neither treatment provided consistent benefits across all sites and dates. Fumagillin was associated with a large increase in honey production only at the Northern Alberta site, while protein supplementation produced an early season increase in brood production only at the Southern Alberta site. The protein supplement provided no long-lasting benefit at any site and was also associated with an increased risk of death and decreased colony size later in the study. Differences in colony survival and productivity among regions, and among colonies within beekeeping operations, were far larger than the effects of either treatment, suggesting that returns from extra feed supplements and fumagillin were highly contextually dependent. We conclude that use of fumagillin is safe and sometimes beneficial, but that beekeepers should only consider excess protein supplementation when natural forage is limiting. [ABSTRACT FROM AUTHOR]

Aims: To explore the lived experiences of caregivers of people living in long-term care (LTC) homes during the initial phases of the COVID-19 pandemic and potential supports and resources needed to improve caregivers' quality of life. Background: Carers (or care partners) of adults in LTC contribute substantially to the health and well-being of their loved ones by providing physical care, emotional support and companionship. Despite their critical role, little is known about how caregivers have been impacted by the pandemic. Design: An interpretive descriptive approach that incorporated the photovoice method was used. Methods: Using a purposive sampling strategy, six family carers in Ontario, Canada were recruited between September and December 2021. Over a 4-week period, caregivers took pictures depicting their experience of the pandemic that were shared in a virtual focus group. Visual and text data were analysed using thematic analysis with an inductive approach. Findings: Caregivers expressed feelings of frustration, confusion and joy. Emerging themes included: (i) feeling like a 'criminal' amidst visitor restrictions and rules; (ii) experiencing uncertainty and disappointment in the quality of care of long-term care homes; (iii) going through burnout; and (iv) focusing on small joys and cherished memories. Conclusions: The combination of visual and textual methods provided unique insight into the mental distress, isolation and intense emotional burdens experienced by caregivers during the pandemic. Impact: Our findings underscore the need for LTC organizations to work in unison with caregivers to optimize the care of residents and support the mental health of caregivers. Reporting Method: This work adhered to the consolidated criteria for reporting qualitative research (COREQ) checklist. Public Contributions: The caregivers included in the study were involved in the cocreative process as active contributors informing the design and validation of the codes and themes. [ABSTRACT FROM AUTHOR]

Over half of all new cancer cases in Alberta are diagnosed among people aged 65+ years, a group that encompasses vast variation. Patient-reported experience measures are routinely collected within Cancer Care Alberta; however, the specific consideration of the needs and concerns of older Albertans with cancer is lacking. In 2021, 2204 adults who had received treatment at a cancer centre in Alberta completed the Ambulatory Oncology Patient Satisfaction Survey (AOPSS). In this study, we explored the age differences in satisfaction across six dimensions of person-centred care and in the proportions of unmet needs across eight types of issues, with specific attention to older adults. Using three age groups (18–39, 40–64, 65+), only the physical comfort dimension showed significantly lower satisfaction among those aged 65+ years. Using five age groups (18–39, 40–64, 65–74, 75–84, 85+), significantly lower levels of satisfaction were found related to 'physical comfort' for those aged 65–74 and 75–84, 'coordination and continuity of care' for those aged 75–84 and 85+, and 'information, communication, and education' for those aged 85+. Therefore, grouping together all older adults aged 65+ years obscured lower levels of satisfaction with some dimensions of person-centred care among those aged 75–84 and 85+ years. Unmet needs generally increased with age for all types of issues, with significant differences across age groups for emotional, financial, social/family, and sexual health issues. The lower levels of satisfaction and higher proportions of unmet needs call for tailored interventions to promote optimal care experiences and outcomes among older adults receiving cancer care in Alberta and their families. [ABSTRACT FROM AUTHOR]