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A tracking control scheme is proposed for complex dynamic network (CDN), where the CDN is regarded wholly as a dynamic composite system which consists of two mutually coupled subsystems. One subsystem consists of all nodes and the other consists of all links, and consider the weights of the links to be state variables in the latter subsystem. There are two parts in the structure of the proposed tracking control scheme: the designed controller of nodes and the synthesis of the coupling term in links. These two parts can guarantee two subsystems to asymptotically track the given reference targets, respectively. This approach originates from the communication transmission network (CTN). In CTN, for the network optimization management, the reference network topology (NT), such as the star topology, is required as a target for tracking in communication transmission (links) when each node in network needs to track its own target. The control scheme provided of this paper coincides with above requirement. And finally, a comparative simulation example is given for illustrating the effectiveness of the provided control scheme. • The dynamic equations of nodes and NT are represented by the matrix differential equations, this can contain many models in other papers and simplify the control scheme, which is rarely discussed. • The tracking targets of nodes and NT given in this paper are independent of each other, which is novel. • When all nodes track the reference targets, the eventual network layout is shown by the desired NT, which is novel. [ABSTRACT FROM AUTHOR]

On-demand transit (ODT) has been widely piloted in recent years by many transit agencies in response to changing travel behaviour and preferences among people. Some agencies have adopted ODT to replace underperforming bus routes, as part of a continuous service planning process while others incorporated it within network re-design. All these trends highlight the critical need for transit agencies to have guidance for incorporating ODT into transit network planning both at the strategic, tactical, and service planning levels. Thus, the purpose of this research is to provide a discussion of the key guiding principles to facilitate the development of transit networks with integrated on-demand and scheduled services. To achieve this goal, a thorough review of the states of practice and research was conducted. Findings from the practice review were also reinforced through ODT practitioners' engagement in Canada. This paper provides discussions on the service goals and objectives of an integrated network design and highlights the key planning requirements for developing integrated networks. At the service planning level, the paper provides a discussion on service goals, service design parameters, and scenario development of ODT service. • On-demand transit (ODT) have grown in many cities around the globe, mostly as pilot projects. • Review of the literature and practice shows that planning for ODT is based on best practices , without "built" guidelines. • Principles of planning are discussed within two applications, the network design level, and the service planning level. • Opportunities of integration and mode selection criteria are defined to integrated ODT with existing bus network. • Simulation and analytical tools are useful to complement the principles of planning in the decision-making processes. [ABSTRACT FROM AUTHOR]

Economic freedom is generally associated with higher average income levels, but does it benefit the very poor as well? Does it help them to escape their disadvantaged position? Does it reduce the probability of falling into low-income status? This paper deals with those questions using longitudinal data from Canada regarding the duration of low income spells, as well as entries and exits from low-income status from 1992 to 2020. Aggregated at the provincial level and inside a panel regression approach, these different indicators of low-income status are negatively related (i.e., less poverty) with the Fraser Institute's Economic Freedom of North America (EFNA) index. [ABSTRACT FROM AUTHOR]

In 2022, the University of Saskatchewan's University Library in Saskatoon, Canada launched the Creative Write-Ins program, which invites creative writers from the university and the broader community to come to the university library to work on their projects. The two-hour, monthly program adopted an informal community of practice (CoP) model, since it allowed for multi-directional learning along the spectrum of participants, from experienced writers to hobbyists. This paper will discuss the intrinsic case study of these hybrid creative write-ins through the lens of Wenger et al.'s (2002) CoP model. Reflections include the lessons learned, areas for improvement, perspectives on how academic libraries can collaborate with external partners, and reflections on how this program demonstrated the potential for multi-directional learning. [ABSTRACT FROM AUTHOR]

The performance of constant false alarm rate (CFAR) detectors is often severely degraded in clutter edge and under multiple target interference. CFAR detection in the above environments often uses generalised likelihood ratio method or mean ratio method to find out the clutter edge demarcation line and suppress the sharp increase of false alarm rate, or remove the interference and modify the threshold factor to suppress the interference and improve the detection performance, but this sacrifices the detection gain from the number of clutter samples. In this paper, the feature information is fused to construct feature vectors, and the edge location is judged by the modulus of the cross product of the feature vector pair (MCPFVP), this edge demarcation line detection method fusing with features can be implemented without the need of clutter statistical distribution information. In addition, this paper reconstructs the sea clutter masked by multiple target interference by fusing the sea clutter amplitude correlation information, and these reconstructed sea clutter samples are used for power estimation together with the unmasked sea clutter without changing the threshold factor. This method can not only suppress the target masking effect of multiple target interference as the censoring type CFAR detector, but also maintain the detection gain from the number of clutter samples, which is not possible with the traditional censoring type CFAR detector. In addition, the relative weighted ratio summation (RWRS) is proposed to detect the multiple target interference, which takes into account the asymmetry of the shape of the statistical distribution. Both simulated and real sea clutter data are used to validate the above methods. The measured data are obtained from radar data collected at Yantai Yangma Island, China, Darmouth, Canada and Grimsby, Canada. (The latter two datasets are collected by the IPIX radar - Ice Multiparameter Imaging X-Band Radar). [ABSTRACT FROM AUTHOR]

Reinforced concrete is a commonly used material for constructing basements in low-rise buildings or residential houses in Canada, and as the use of cross-laminated timber (CLT) advances, the door to think of an alternative basement material to offset greenhouse gas emissions associated with reinforced concrete is open. However, the evaluation of CLT durability in below-grade environments, specifically concerning moisture and mould development, remains an unexplored field in research. Hence, this paper aims to analyze CLT's moisture response and mould growth risk in below-grade environments using field and laboratory experiments. A laboratory experiment was carried out to test a waterproofing membrane solution selected to compose the wall assembly in the field experiment. A large-scale experimental CLT basement was built at a cohesive soil site in Edmonton, Canada. The field experiment involved monitoring the relative humidity, temperature, and soil volumetric water content of the CLT panels, which measure 3 m by 6 m in plan and 2 m deep. Data was collected for an extended period from June 2022 to July 2023. The VVT model, developed by Hukka and Viitanen (1999) and updated by Viitanen et al., 2011 to estimate the mould growth level, was used to predict the risk of mould growth. The laboratory experiment showed that the waterproofing membrane is suitable for protection against moisture in a still-water setup. Field experiment results suggested that the primary moisture source was below the basement floor when the floor was finished inadequately. The moisture content of CLT walls was significantly increased by floor flooding and decreased by heating the basement interior. The acceptable mould index of three was surpassed during periods of abundant water below the basement floor due to flood events, showing that the CLT panels were at risk of mould growth development. • CLT use inbasements is in research stage. This paper contains insights for developing future research on this subject. • CLT in basement construction requires robust envelope with waterproofing membranes that perform well below grade. • Elevated moisture levels could pose structural and biological risks to the CLT basement and its occupants. • CLT basement walls take time to dry, and during this period, the walls may be exposed to risky levels of mould growth. [ABSTRACT FROM AUTHOR]

The pulp and paper industry use biomass residues, such as paper sludge and bark as fuel to provide energy for their plants. However, issues such as high-water content or low heating value limit the amount of energy that can be utilized. Processes to improve heat generation include biomass densification, which facilitates transportation and handling and can increase energy yield. However, the technical feasibility of briquetting is a function of the feedstock and preprocessing. This study introduces a novel approach to briquette production from biomass residues by utilizing wet biomass with water as a natural binder, contrasting with conventional methods that require forced drying and/or the addition of binders. The objective of this research was to investigate the impact of briquetting both unprocessed biomass and post-hydrothermal carbonization. The study focused on manufacturing briquettes derived from different sources, including bark (Balsam fir), paper sludge, and hydrochar of paper sludge. The feedstock was characterized for ash content and higher heating value. Biomass particle size (range), moisture content (range), process temperature (range), process pressure (range), and process residence time (range) were varied in briquetting experiments to determine conditions to produce high-quality briquettes with minimal energy input. Moisture content as high a 50 wt% in feedstock produced technically feasible briquettes, with appropriate physical-mechanical properties (durability, volumetric expansion and apparent density), and energetic potential (calorific value). The addition of heat (pressing temperature of 150 °C) during the pressing process resulted in briquettes with enhanced physical-mechanical, and energetic properties, surpassing those produced at room temperature. Further tests with additional steps in the production process are required to meet commercialization standards in Canada, but the treatments conducted in this study effectively improved the energy potential of biomass for internal industrial energy gains. • Wet briquettes (20 wt% and 50 wt%) production was technically feasible. • Briquettes with added heat (150 °C) exhibited superior properties. • All biomass briquettes exhibited improved energy potential. • Hydrochar briquettes showed superior energy content and durability. [ABSTRACT FROM AUTHOR]

Most people accused of a crime are released into the community pending the resolution of their charges. To manage perceived risk, conditions of release on bail modify and control behaviour while providing a mechanism and justification for state monitoring. Drawing on 120 interviews with accused people in Canada this paper develops a typology to theorize how bail is experienced by accused, providing a framework for understanding what motivates accused to comply or violate their bail conditions and what impact conditioning has on their lives. Our analysis reveals insights into how accused present themselves to the court, navigate conditions of release and evaluate being conditioned in the community under the threat of further criminalization. Consistent with Yule et al. (2023), accused report a complex, variegated experience of social control in the community prior to conviction. Insights from participants suggest that bail is part of a broader criminal court process, that differentiates and marks accused (Kohler-Hausmann, 2018) who lack the requisite docility and discipline as risky and requiring more intensive conditioning and monitoring. • Drawing on 120 interviews with accused people in Canada this paper develops a typology to theorize how bail is experienced by accused, providing a framework for understanding what motivates accused to comply or violate their bail conditions and what impact conditioning has on their lives. • Accused report a complex, variegated experience of social control in the community prior to conviction. • How accused respond to being conditioned and demonstrate their amenability determines if and how much more (if any) conditioning and sanctioning is needed. • Reflecting on their presentation of self, experiences in the pre-trial process and impressions of the system, participants speak to themes of docility and discipline, bail as punishment and release as being better than detention. • The bail process is punishment's testing ground. Bail is part of a broader criminal court process, that differentiates, and marks accused (Kohler-Hausmann, 2018) who lack the requisite docility and discipline as risky and requiring more intensive conditioning and monitoring. • The lived experiences of accused reveals that bail conditions are ineffective tools of behaviour management, control, or change. [ABSTRACT FROM AUTHOR]

• Many mental health disorders first emerge during early childhood or adolescence. • Wait times for children's mental health services have been an international and widespread problem. • Long wait times prolong the emotional distress of children and/or adolescents and their caregivers which can exacerbate mental health difficulties. • The majority of research in this area has been conducted in the United Kingdom and Canada and focus on one waitlist strategy. • Common strategies include alternative service delivery models, increasing system capacity, and improving intake and assessment processes. Background: Although many mental health disorders first emerge during early childhood or adolescence, there is a significant gap between demand and availability of mental health resources, leading to long waitlists for services. Objective: The objective of this scoping review was to identify and characterize the research literature related to the range of waitlist management strategies that have been implemented in outpatient child and adolescent mental health care. Methods: Electronic databases reviewed included: Medline (Ovid), Embase (Ovid), PubMed, PsychINFO, SCOPUS, CINAHL, and ISI Web of Science. Grey literature databases included: OpenGrey, Conference Papers Index, and Proquest Digital Dissertations. Articles were screened by two reviewers in two steps: first by title and abstract, then full text level. Data were extracted using an a-priori developed data extraction framework, which was piloted and modified iteratively. Results: A total of 119 papers related to waitlist interventions in child and adolescent mental health were reviewed. Of these 119 papers, 11% were reviews, summary, or theoretical papers; 8% used a randomized control trial design and 2.5% were trial protocols. Most studies used less rigorous designs, such as uncontrolled before-and- after designs. The large majority focused on just one waitlist strategy each. The most commonly used approaches included: prioritization/triage and initial assessment; brief consultation and advice or brief therapy approaches; group-based models; interim services; increasing capacity; and strategies to decrease non-attendance. Most studies were conducted in the United Kingdom or Canada. Discussion: While mental health systems are complex, most studies examining waitlist initiatives explored the implementation of single initiatives. It is unlikely that a single waitlist strategy can be effective in managing wait times for children's mental health. Rather, consistent and systemic approaches to address wait times that consider the impact of the reduction approach on the patient, the program, and the community are needed. [ABSTRACT FROM AUTHOR]

• A model was created to examine the reliability of maintenance budget allocation. • The model was applied to network-level pavement maintenance in Canada. • The impacts of algorithm selection and parameter tuning were studied. • The significance of pavement clustering in increasing reliability was highlighted. • The importance of incorporating actual pavement improvement curves was clarified. The purpose of this paper is to increase the reliability of the network-level pavement maintenance budget allocation by reducing uncertainties of algorithm selection and parameter tuning. In this paper, reliability is defined as the ability of a network-level pavement maintenance plan to improve the condition of a pavement network within a certain budget. In order to quantify reliability, the reliability index is defined as the ratio between the post-maintenance network condition and the net maintenance cost. With this purpose in mind, a two-objective optimization model was developed. To test its applicability, the model was applied to a pavement network in Canada. The model was solved using the Non-Dominated Sorting Genetic Algorithm II and the differential evolution algorithms. Finally, the reliability indices of algorithms and termination criteria were computed. The results indicated that the differential evolution algorithm recommended less frequent but more intense interventions that made the solutions expensive and less reliable. This paper contributed to the network-level pavement maintenance body of knowledge by (1) developing a multi-objective optimization model to reduce uncertainties of parameter tuning and algorithm selection; (2) increasing the reliability of budget allocation; (3) showcasing the significance of pavement clustering in increasing reliability; and (4) developing and incorporating actual pavement improvement curves. [Display omitted] [ABSTRACT FROM AUTHOR]

Motivated by large oil price swings, high economic and geopolitical uncertainties, and the financialization of oil, this paper examines the frequency spillovers and co-movements between oil shocks (risk and demand) and the stock markets of top oil-producer and consumer countries, namely, Canada, China, Russia, Saudi Arabia, and the US. The analysis uses the time-domain spillover index of [1], the frequency-domain spillover of [2]; and the wavelet coherence approach. The findings reveal that spillovers run from the U.S., Canada, and, to a lesser extent, Russia to oil shocks. On the other hand, oil shocks, Saudi Arabia, and China constitute net receivers of shocks. The intensity of spillovers is heavier in the short-term frequency than in the intermediate- and long-term. Furthermore, the direction of spillovers is more defined in the long-term. The U.S. stock market exerts a strong impact on oil risk in general, but the impact is stronger in the short-term. Conversely, an oil demand shock is susceptible to innovations from Canada and Russia that are stronger in the long-term. This means that oil risk shock stemming from innovations in financial markets is short-lived and dissipates quickly due to quick reactions from market participants. On the contrary, long-term links characterize the relationship between oil demand shock and financial markets, mirroring the macroeconomic nature of the linkages. Finally, while the 2008 crisis, EDC, oil price crash, and the COVID-19 pandemic coincided with strong spillovers in the short-term, the COVID-19 era was marked by higher spillovers in the long term. The findings provide important information for investors and policymakers in terms of diversification, risk management, and efforts to mitigate contagion. • This paper examines the frequency spillovers and co-movements between oil shocks and the stock markets. • We use the time-frequency spillover index method and the wavelet coherence approach. • Spillovers run from the U.S., Canada, and, to a lesser extent, Russia to oil shocks. • Oil shocks, Saudi Arabia, and China constitute net receivers of shocks. • The intensity of spillovers is heavier in the short-term frequency than in the intermediate- and long-term. [ABSTRACT FROM AUTHOR]

Extensive research exists on the potential impacts of foresight; however, a comprehensive understanding of the factors that lead to foresight impact, particularly in influencing senior management decisions, is relatively sparse. This study addresses this by reporting on a Delphi and expert panel involving eight senior Canadian government foresight program leaders. These leaders were asked to help identify and then rate a list of factors that they felt resulted in their foresight projects impacting senior management decisions. Results suggested that factors such as foresight methodology, while leading to good foresight, do not necessarily result in senior decision-maker impact. Instead, criteria defined in this paper as the "consultants' toolkit," such as understanding the senior decision maker's pain points and foresight managers having a strong understanding of the organization's inner workings, play a crucial role. The expert panel discussion suggested that the importance of senior management decision-making factors depends on three mediating variables: The temporal orientation of the Department, the foresight orientation of the department's senior management, and the nature of the relationship between the foresight manager and the senior decision maker. • Paper identifies factors that lead to senior management accepting and implementing the results and recommendations of foresight projects. • A two round Delphi and expert panel was held as part of this study with eight senior Canadian government foresight program leaders • Managers identified factors that relate more to a consultant tool kit than foresight methodology that results in decision impact foresight. • A contingency model is presented with three elements which the impact factors importance • The paper highlights the importance of research partnerships that include both academics and practitioners [ABSTRACT FROM AUTHOR]

During the design phase of the Confederation Bridge in Canada, the Canadian government Public Works and Government Services Canada asked the National Research Council (NRC) of Canada to provide information on ice loads from large ridges using a wide range of predictive technologies. The NRC put together a team that looked at loads from several sources including analytical models, physical model tests, finite element models, discrete particle models, and full-scale data. The ice loading scenario was an extreme first-year ridge loading one of the bridge piers. A large number of analytical models were used and the load components were separated into those from the consolidated layer, the sail, and the keel. An upper bound prediction from this approach gave a value of 16 MN on a pier, but the assumptions that were used to arrive at this value did not match observed behavior in the physical and numerical studies of the program. Physical model tests indicated that the loads could be 10.5 MN with a load of 7.3 MN from the keel and 3.2 MN from the consolidated layer and sail. A finite element analysis indicted a range of predicted values of 10 MN to 12 MN depending upon the assumptions used. A discrete particle analysis predicted load values from 2.2 MN to 9.5 MN depending upon the assumptions used in describing the stiffness of the ridge. A review of full-scale measurements on lighthouses and ships suggested that the loads could range from 7.3 MN to 10.4 MN. These predicted values compare to the highest load measured on the Confederation Bridge over a twenty-year span of just over 8 MN. This paper outlines the approaches used for this prediction study and their resulting predictions. It shows the value of using multiple approaches for load predictions for offshore structures in ice-covered waters. • Predictions of ice ridge loads on the Confederation Bridge piers. • Analytical, Physical Modelling and Numerical approaches for ice ridge loading. • Comparison to measured loads on bridge piers. [ABSTRACT FROM AUTHOR]

There are 14 northern communities in Nunavik, the Arctic region of Quebec province, Canada. Transportation infrastructure plays a vital role in the social and economic development of these localities. The thawing of permafrost compromises the stability of northern transportation infrastructure. Harsh Arctic climate conditions limit the installation of effective monitoring systems to assess infrastructure stability. In Akulivik, the access road connects the Akulivik airport and the village of Akulivik. There is no monitoring to observe the thermal condition of the permafrost foundation of the access road, hindering the capacity to perform preventive maintenance activities, especially in the context of observed climate warming in Nunavik. This paper describes a project aiming at the assessment of the stability of the access road using a new approach and proposes adaptation solutions to stabilize the road, based on design tools recently developed. Particular attention was paid to the foundation soil under the side slope where relatively rapid permafrost degradation was occurring due to accumulated snow. The results indicate a positive thermal gradient of 0.29 °C/m under the side slope and a near-zero thermal gradient under the centerline. Projected climate warming was also considered to further investigate the thermal condition, providing a safety margin for the design of promising adaptation solutions. These results assist government agencies in evaluating the thermal conditions of underlying permafrost and deploying potential adaptation solutions in Akulivik. • The thermal conditions of the road embankment were analyzed. • A new approach was employed to assess the thermal stability of the road embankment. • An adaptive solution was designed to mitigate permafrost degradation beneath the embankment side slopes. [ABSTRACT FROM AUTHOR]

Thunderstorm winds are the costliest wind hazard in Canada, but they have not been well studied. This paper investigates atmospheric conditions prone to downbursts in Canada using a combination of reported downbursts from damage survey reports, ERA5 reanalysis data, lightning flash observations, radar imagery, and upper air measurements for the period of 2019–2023. We propose a novel Downburst Precursor Parameter (DPP) by integrating two low-correlated thermodynamic and kinematic parameters. DPP outperforms other existing instability indices in downburst diagnosis in Canada. Our spatial analysis reveals the absence of damaging downbursts west of the Rockies, while approximately half of all recorded damaging downbursts occurred in southeastern Canada. Squall lines and supercells are the most common types of downburst-generating storms in Canada. Furthermore, nearly two-thirds of storms are squall lines when a downburst is accompanied by lightning flashes, which occurred in ∼71% of all cases. The remaining ∼29% of downbursts without lightning are mostly dry downbursts, typically displaying a disorganized pattern of convective storms on a radar screen. The equivalent potential temperature difference between the surface and mid-level in the troposphere (∆ θ e) exceeds 13 K prior to 61% of damaging downbursts. This result indicates that ∆ θ e might be a useful downburst indicator in Canada despite lower values compared to many regions in the United States. [Display omitted] • Convective parameters for diagnosing downburst-prone environments were investigated. • Novel Downburst Precursor Parameter (DPP) enhances downburst diagnosis accuracy. • DPP > 0.7 signals highest risk for downburst development. • Squall lines and supercells are the dominant storm types with a ratio of 2:1. • Surface-to-midlevel equivalent potential temperature difference is a useful downburst index. [ABSTRACT FROM AUTHOR]

• Supportive housing can be combined with wraparound supports for teen families. • Collaborative partnerships are key to offering teen families supportive housing. • Supportive housing needs to balance structure with trauma-informed responsivity. Providing support to address the systemic barriers that teen families face is a logical step toward improving their health and well-being. One area where teen families face multiple obstacles is accessing safe, secure, affordable housing. This paper describes a unique, innovative model of supportive housing developed in combination with wraparound supports, provided to teen parents in Edmonton, Canada. As part of a larger community-based participatory research and evaluation project, we draw on qualitative data to describe the supportive wraparound housing model that was developed. In particular, we conducted individual interviews and focus groups with a total of 27 staff members from the partner agencies, who provided information about the Successful Families program model. Analysis of interview data resulted in five broad categories that have resonated with our community and academic team as a way to conceptualize and share the work of the program. Categories, which are described in terms of associated subcategories, include: Community, Partnership, Program Principles and Values, Successful Families Program Structures, and Skill and Knowledge Development. Through this work, we aim to promote awareness of considerations for service providers seeking to implement similar services, and expand the limited knowledge base regarding methods for supporting the diverse needs of teen families. [ABSTRACT FROM AUTHOR]

Access to safe drinking water remains a significant challenge for many Indigenous communities in Canada, particularly for remote communities. This stems from historic colonial practices of water governance that have relied on Western worldviews and excluded Indigenous Peoples. Using an Indigenist research framework and a Community-Based Participatory Research design, we, as Indigenous and non-Indigenous collaborative research team wanted to learn from remote Indigenous communities, including Star Blanket Cree First Nation and the Cumberland House Village at the Treaty 4 and 5 territories (known as Saskatchewan) that have not been adequately represented in water governance. Following this, we used storytelling and deep listening to engage seven Elders and knowledge-keepers from the two communities. The findings show Indigenous People have spiritual and historical worldviews and practices surrounding water and its governance. Promoting Indigenous worldviews in water governance is critical to enhancing access to safe drinking water within the two communities. Therefore, reviving and reconnecting Indigenous drinking water governance promotes community healing and water protection. Insights from this paper propose a meaningful bridge between Western and Indigenous perspectives and the capacity to govern water through deep and complex practices and meanings of water governance. • Remote Indigenous communities lack access to safe drinking water. • Understanding the spirituality of water is key to Indigenous water governance. • Reclaiming Indigenous water stories is key to water reconciliation. • Collaborative water governance enhances access to safe drinking water. • Collaborative water governance promotes sovereignty and self-governance. [ABSTRACT FROM AUTHOR]

Scandals have always been a highly salient problem in politics. In judging politicians for their misconduct, voters may arguably be biased – they may evaluate scandals based on individual motivations, such as partisanship and self-interested concerns. In this paper, we examine these two considerations in the case of two real-world corruption scandals involving a single incumbent government. In addition to testing for the effects of partisan motivations in authentic situations, we consider how scandals associated with policy goals interact with personal motivations, shaping the degree to which people penalize a scandalous government. Across two survey experiments that prime respondents about real-world corruption scandals, we manipulate question wording for some participants and measure their evaluations of a scandalous leader's performance. We find an effect for self-interested concerns when the benefits associated with the scandal are concentrated and tangible. Our findings suggest that voters hold public figures accountable for misbehaviour and that there are limits to partisan loyalties in political scandals. [ABSTRACT FROM AUTHOR]

The monitoring of forest ecosystems is significantly affected by the lack of consistent historical data of low-severity (forest partially disturbed) or gradual disturbance (e.g. eastern spruce budworm epidemic). The goal of this paper is to explore the use of a subset of Landsat time series and deep learning models to identify both the type and the year of disturbances, including low-severity and gradual disturbances, in the boreal forest of eastern Canada at the pixel level. Remote sensing data such as the spectral information from Landsat time series are the best available option for large scale observations of disturbances that go back decades. Traditional modeling approaches, like LandTrendr, require substantial handcrafted pre-processing to remove noise and to extract temporal features from the image sequences before using them as input to a classical machine-learning model. Deep-learning models can autonomously discern which features are relevant within the coarse temporal and spectral information from the Landsat annual dense time series. We evaluated the performance of TempCNN and Transformer model in detecting and classifying the type and the year of the forest disturbance using Landsat time series subsequences. Our findings resulted in the generation of four disturbance maps outlining the forest history from 1986 to 2021 within the eastern Canadian boreal forest. Our experimental outcomes demonstrate several significant benefits of employing deep learning models. Firstly, using noisy Landsat time series they achieve comparable accuracy for classifying fire and total harvesting than existing publicly available disturbance maps. Secondly, the use of shorter time series subsequence with deep learning models enables to map adequately different overlapping disturbances occurring in the complete time series. Finally, they increase the number of distinguishable disturbance classes by adding partial harvesting, gradual disturbances, and forest recovery from older events, making them useful approaches for obtaining the first remote sensing-based map for areas affected by the eastern spruce budworm. • TempCNN, Transformer tested on Landsat time series for disturbance classification. • The type and the year of disturbance events were classified with good accuracy. • Deep learning effective for identifying partial and progressive disturbances. • Landsat subsequences extract overlapping disturbances. [ABSTRACT FROM AUTHOR]

This paper investigates the relationships among the important process parameters that impact Post-combustion Carbon Capture (PCC) carbon dioxide (C O 2) separation. A better understanding of the complex relationships among those parameters can support optimization and performance enhancement of the separation process. Being able to precisely predict the process parameters will enable the operator to determine the current state of the process, forecast any potential changes or events, and adjust process parameters to enhance the plant's performance. With the objective of studying the process parameters' correlations in the amine-based PCC process, we modeled the multi-year historical production data of the Clean Energy Technologies Research Institute (CETRi) (formerly known as the International Test Center for PCC or ITC) in Regina, Saskatchewan, Canada, using a Decision Forest approach. The model validation process revealed that the Decision Forest model produced higher predictive accuracy than previous efforts. The Decision Forest models we developed also represent knowledge about the importance of parameters involved in the capture process, and such knowledge is useful for further optimization of the capture process in the future. • Modeling the parameters of the Carbon Capture process with machine learning (ML). • The ML models used Decision Forest with Gradient Boosting and Oblique Split. • The ML models achieved superior predictive accuracy compared to past efforts. • The ML models support interpretability by visualizing weights and prediction paths. [ABSTRACT FROM AUTHOR]

• First trends analysis of data from the national Canadian Cannabis Survey. • Past-year cannabis use increased since non-medical cannabis legalization in Canada. • The proportion of past-year consumers using cannabis frequently is unchanged. • Past-year use of edibles, drinks and vape pens/cartridges has increased. • Legal purchasing is displacing the illicit cannabis market in Canada. Cannabis use for non-medical purposes was legalized and regulated in Canada through the Cannabis Act in October 2018. This paper examined trends in use of cannabis for non-medical purposes and related indicators from pre- to post-legalization in Canada (2018–2022). Data from 5 years of the Canadian Cannabis Survey, an annual web-based survey administered to Canadians 16 years of age or older, were used in the analysis (n 2018 =12,952; n 2019 =11,922; n 2020 =10,821; n 2021 =10,733; n 2022 =10,048). Cannabis measures include questions about use, types of products, sources, risk perceptions and beliefs, and exposure to public education campaigns and health warnings. Adjusted logistic regression models tested differences in outcomes over time. Past 12-month cannabis consumption increased among Canadians from 22 % in 2018 to 27 % in 2022 (AOR=1.41;99 % CI:1.28–1.54). Similarly, daily/almost daily (DAD) consumption increased from 5 % in 2018 to 7 % in 2022 (AOR=1.36;99 % CI:1.16–1.59). Consumption of dried flower, hash/kief, and concentrates/extracts (e.g., wax, shatter, budder) decreased since 2018, whereas consumption of edibles, beverages and vape pens/cartridges increased (p < 0.001). Legal purchasing increased from 4 % in 2018 to 69 % in 2022, while accessing cannabis through social and illegal sources decreased over time (p < 0.001). More Canadians are reporting cannabis consumption since legalization and regulation of cannabis for non-medical purposes, continuing a pre-existing trend despite an increase in awareness of the risks of consuming cannabis. Trends in product use indicate a transition from dried flower and concentrates/extracts towards consumption of cannabis foods, drinks and vape pens/cartridges. The legal market is increasingly displacing the illicit cannabis market in Canada. [ABSTRACT FROM AUTHOR]

As part of the response to Canada's worsening overdose crisis driven by a toxic, adulterated drug supply, there has been increased attention to and expansion of drug treatment, options, including injectable opioid agonist treatment (iOAT). iOAT typically involves the, witnessed daily injection of opioids under healthcare provider supervision. There is a robust, evidence base on iOAT; however, there has been less focus on how people engage with this; treatment outside of clinical trials. This paper examines how people engage with iOAT programs, in expanded treatment settings in Canada, focusing on how the broader socio-structural context, shapes patient subjectivities in treatment. This study draws on critical ethnographic and community-based research approaches, conducted with people accessing four iOAT programs in Vancouver's Downtown Eastside; neighbourhood from May 2018 to November 2019. Data included in-depth baseline and followup, interviews and approximately 50 h of observation fieldwork conducted in one iOAT, program and with a subsample of participants in the surrounding neighbourhood. Analysis, leveraged the concepts of biological citizenship and structural vulnerability. This analysis characterized three narrative frames— regular long-term engagers, pain, patients, and sporadic and short-term engagers —through in-depth case presentations of participants with distinct types of engagement with iOAT programs. Participants within these, narrative frames described a dominant form of iOAT citizenship, an autonomous patient who, regularly engages in treatment and avoids pleasure. However, structural vulnerabilities, including, homelessness and housing instability, entrenched poverty, criminal-legal system engagement, and unmanaged pain, shaped the ability of participants to make claims to this normative model of citizenship. This study examined how structural vulnerabilities impact people's construction and ability to make iOAT citizenship claims. Findings point to the need for changes within and outside of iOAT programs, such as lower threshold treatment models, improved social services (e.g., secure housing), and pain management support. • Biological citizenship used to examine how people engage with iOAT. • Narrative frames used to explore patterns of iOAT engagement. • These served as alternate to iOAT citizenship framed by treatment. • Unmanaged pain, housing instability, and poverty impacted treatment engagement. [ABSTRACT FROM AUTHOR]

Geothermal systems installed at intermediate depths (∼1–2 km) in sedimentary basins represent an attractive option to provide low-carbon heat in cold countries, even where the geothermal gradient is low, using either closed- or open loop systems combined with heat pumps. However, the installation of such systems is costly and risky due to the uncertainty associated with the geological, hydrogeological and thermal properties of the targeted unit(s). Additionally, the performance of different types of systems is seldom compared in the literature for a given geological context. This paper presents a numerical approach to readily assess the maximum energy that could be produced by different geothermal systems (a deep borehole heat exchanger (DBHE) and three types of doublets) and compare their performance for preselection purposes. Since deep formations are often poorly characterized, the sensitivity of these systems to the most impactful site properties is evaluated. For each scenario of site properties, the systems were simulated for different operation flow rates. The maximum usable flow rate is determined from simulation results. The flow rate maximizing net energy production is used for the DBHE, while the maximum flow rate ensuring safe injection pressure has been selected for the doublets. The heating power produced per length drilled and system COP are calculated for each simulation and interpolated for the maximum usable flow rate to fairly compare the systems' performance. An illustrative case using the Bécancour area (eastern Canada) highlights that, even if the site stratigraphy and properties have been relatively well characterized previously, uncertainty regarding key properties significantly affects simulation results and, consequently, the choice of the geothermal system to install. Our numerical approach is intended as a decision-making aid in order to properly plan the installation of these expensive systems. [Display omitted] • New method for pre-selecting 1–2 km geothermal systems and assess heating potential. • Compares the DBHE and geothermal doublet performances for various designs. • Includes a sensitivity analysis to permeability, thermal conductivity and heat flux. • Determines the maximum usable flow rate for each system and scenario. • An application demonstrates the need to consider the uncertainty of rock properties. [ABSTRACT FROM AUTHOR]

A consideration of the site-specific spatial experience created by urban trees and their cultural dimensions can enrich climate adaptive tree planting strategies in Winnipeg, a city of 850,000 in the central prairies of Canada. The paper begins with an introduction to traditional urban tree planting types and analyses the range of tree planting techniques that currently define public spaces in Winnipeg. A review of the recently published Urban Forest Strategy for Winnipeg highlights current strengths and challenges to climate change related tree planting in the city. Urban tree planting strategies and practices demonstrate a focus on quantifiable goals such as canopy coverage, number of trees planted or ecosystem services, with little reference to how trees define places. However, cities are constituted by the visible forest -the form and patterns of how trees are planted and the spaces they create. They are also shaped by the invisible forest , the diverse ways in which trees evoke different functions, values, and modes of occupation to different people at different times. Two basic approaches to urban tree planting will enrich climate-related tree planting initiatives by synthesizing the visible and invisible dimensions of the urban forest: Prioritizing the collective planting of trees as opposed to the single specimen and acknowledging the cultural dimensions of trees. Two design propositions from students at University of Manitoba demonstrate how trees can articulate the diverse ways people interact with trees through their spatial configuration and planting techniques. One draws upon tree types that acknowledge local agricultural tree planting strategies and the second responds to historical and contemporary Indigenous relationships to riparian trees. Acknowledging the planting of trees as a complex interplay between spatial, ecological, and cultural specificity allows for the communication of new values for the design and stewardship of urban trees and the provision of shade in a climate adaptive city. [ABSTRACT FROM AUTHOR]

Valued components (VCs) are at the core of impact assessment (IA), cumulative effects management (CEM), and other environmental planning and management processes. However, the research that exists on VC selection identifies major conceptual and methodological flaws in the conventional approaches used in most project-based IAs, including poor understanding, inadequate guidance, insufficient engagement with local stakeholders and Indigenous communities, and failure to incorporate local and Indigenous perspectives, knowledge, and values in decision-making. To address these flaws, this paper proposes a new community-based method for selecting VCs, which was developed in the Indigenous-led CEM program of the Metlakatla First Nation (located on the northwest coast of Canada). The new VC selection method is grounded in Indigenous values and informed by Indigenous and local knowledge as well as scientific research. It uses a six-step approach to identify VCs and prioritize them, based on clear decision-making criteria, deliberative community dialogue, and explicit consideration of implementation constraints. The Metlakatla First Nation used this method to identify high-priority VCs for their CEM program, but the method could also be adapted for use in project-based IA and other planning and management processes to improve VC selection. A comparison of the results of the application of the new method in the Metlakatla CEM Program with the results of a recent conventional proponent-led IA of a large industrial project in Metlakatla territory shows that the new method addresses many of the deficiencies in the conventional model and generates a substantially different set of high-priority VCs that better reflect Indigenous values and knowledge. • A new community-based method for choosing valued components in impact assessment. • Key features are clear criteria, deliberative dialogue, and implementation planning. • Applied in Metlakatla First Nation's Indigenous-led cumulative effects program. • Metlakatla CEM Program is a proactive system for monitoring and managing key values. • Valued components chosen with the new method reflect Indigenous views and values. [ABSTRACT FROM AUTHOR]

This paper mainly discusses exponential synchronization of nonlinear CDN via intermittent pinning control on T. By using Lyapunov and time scales theory, a novel sufficient condition to guarantee the synchronization of CDNs is obtained. The method of intermittent pinning control is adopted in designing controllers to ensure the realization of synchronization of CDNs. Unlike most existing results, our results are an extension of previous results, integral delay and coupling disturbance are considered in the time-delay nonlinear CDNs. Therefore, our results are less conservative but more persuasive. Moreover, our model can be applied not only to continuous/discrete CDNS, but also to mixed CDNs. Finally, we give numerical simulations to demonstrate the feasibility of our theory. [ABSTRACT FROM AUTHOR]

The suburbanization of poverty has been a concerning trend in many urban regions. While research has described patterns of suburbanization of poverty at regional and neighbourhood levels, there are open questions about how lower-income households have agglomerated in the suburbs in recent history. Is suburban poverty primarily a result of 1) the movement of low-income residents from central to suburban neighbourhoods (e.g., via processes of gentrification and displacement), 2) migration between Census Metropolitan Areas and the immigration of low-income groups to suburbs, or 3) becoming and remaining poor while staying in the suburbs? The objective of this paper is to describe and quantify the propensity of these predominant individual geographic pathways to suburban poverty. We do so via a cluster analysis of census and land use data to define neighbourhoods as either central or suburban, and then link this categorization to a large-scale panel dataset representing 20 % of tax filers in Canada (from 2006 to 2016). These data allow for analyzing different pathways within the context of large Canadian metropolitan areas, specifically to what extent poverty in suburban neighbourhoods stems from intra-urban residential mobility, immigration, and becoming poor in-place. We find that becoming and remaining poor while staying in the suburbs encompasses a greater proportion of suburban poverty than immigration and centre-to-suburb residential mobility combined. Overall, this research expands our understanding of the sources of suburban poverty while also providing pertinent information to aid preventative policy aimed at reducing suburban poverty in Canada. • The largest source of suburban poverty in Canada is from getting poor in place. • Immigrants to Canada face the highest risk of becoming part of the suburban poor. • Migration from more accessible parts of the city represents a small share of suburban poverty growth. [ABSTRACT FROM AUTHOR]

The global call to address climate change and advance sustainable development has created rapid growth in research, investment, and policymaking regarding the renewable energy transition of Indigenous communities. From a rightsholder perspective, Indigenous Peoples' vision of sustainability, autonomy, and sovereignty should guide research on their energy needs. In this paper, we present a multi-method, inductive examination to identify gaps between Indigenous communities' expressed needs and rights, and the questions researchers and policymakers investigate in energy transition research conducted in the context of Indigenous communities located in Canada. We combine a systematic review of the extant literature, a scoping review of the grey literature on off-grid communities by Indigenous and non-Indigenous governments and non-governmental policy bodies, qualitative primary data collected via fieldwork, and an in-depth study of an Indigenous-led renewable energy transition study conducted by Haíɫzaqv Nation's Climate Action Team. We holistically examine these different perspectives and identify emergent themes to recommend ways to bridge the gaps between off-grid renewable energy research and stated Indigenous community priorities. Specifically, we recommend designing equitable research practices, understanding community worldviews, developing holistic research goals, respecting Indigenous data sovereignty, and sharing or co-developing knowledge with communities to align with community priorities closely. • There is a research-practice gap in Indigenous communities' energy transitions. • We used a multi-method inquiry integrating Indigenous and Western approaches. • Renewable energy literature diverges from the Indigenous community vision and goals. • Indigenous research methods can reduce the research-practice gap in high-tech fields. • Community-based approaches can use traditional laws to yield actionable outcomes. [ABSTRACT FROM AUTHOR]

Community renewable energy is increasing globally, but many northern and remote Indigenous communities remain energy insecure. Community appropriate sustainable energy solutions requires more than building renewable energy projects – it requires local socio-technical capacity to design, implement, and maintain renewable energy projects. Yet, notwithstanding advances in renewable energy technology there is limited understanding of the socio-technical capacity of northern and remote Indigenous communities to engage in energy transitions. Based on a review of energy transitions scholarship and northern contexts and informed by a workshop engaging northern and Indigenous community members from Canada and Alaska, this paper presents foundational pillars for assessing the socio-technical capacity needs of communities to pursue and sustain local energy transitions. These pillars are inter-dependent and emphasize the importance of local energy champions and inter-local energy networks to enable innovation and capacity building; community values that articulate immediate and longer-term goals for energy transition, including the social and economic opportunities to be realized by a more sustainable energy system; community knowledge of local energy resources, technologies, and opportunities, and embedded skills to support transitions; and the skills innovation to pursue and manage new energy systems, coupled with youth engagement as future community energy leaders. The proposed framework is intended to support the early stages of community energy transition planning. • Energy transition in remote communities involves more than building new projects. • Socio-technical capacity is critical to renewable energy security in remote off-grid areas. • Seven pillars are proposed to guide local capacity assessment for community energy. • Renewable energy in remote communities means self-sufficiency and self-determination. [ABSTRACT FROM AUTHOR]

Toponyms contain Indigenous modes of understanding and reflect ecological histories and deep relationships between Indigenous communities, arctic environments, time, and land. Completed toponymic studies are useful for researchers to access; however, they are notoriously difficult to find. Many are completed by community groups and published on their websites, or are completed by government agencies and published as grey literature. An inventory of toponym projects has not existed, and eliciting what has been completed where, with whom, and by whom has required long searches through academic and grey literature. In this paper, we inventory Indigenous toponymy projects in the Canadian North, and document our efforts to produce a publicly accessible index where toponymy projects can be found via maps. New or unknown resources can be added by users. Our purpose, here, is to document the production of this resource and to increase awareness of toponymical resources among communities, researchers, scientists, and other stakeholders. We reflect on knowledge gained through construction of the index and make observations on trends in Inuit toponym research through time. We argue for renewed efforts across arctic sciences to recognize Inuit-environment relationships through reference to place names and the ecological histories they encapsulate, and we provide considerations for future work. • Inventory of Indigenous place names projects in arctic Canada. • Accessibility of knowledge through online interactive map. • Use of ESRI Experience Builder to make toponymy projects publicly searchable. [ABSTRACT FROM AUTHOR]

This paper explores the perceptions and future imaginaries of a group of union members in Manitoba, Canada, concerning climate change, energy transition, and the roles of unions and workers in climate politics. Based on interviews with 30 rank and file workers carried out through the winter of 2020, the results suggest some starting points for a more active engagement between the labour movement and climate politics—an engagement that is central to climate justice, and that becomes more vital every moment as workers both participate through their waged labour in the production of ecological crisis, and stand to suffer intensely from both climate change and from elite-led energy transitions. • Unionized workers broadly agree with the characterization of "climate emergency." • Participants connect to climate change through expanded spatial and temporal considerations. • There is broad agreement that climate change is a key consideration in unions' protective role. • Union workers' future imaginaries of energy transition do not frequently engage with "system change" narratives. • Union workers characterize transition as something done to, rather than by, workers. [ABSTRACT FROM AUTHOR]

The northwest coast of North America exhibits highly variable patterns of relative sea-level (RSL) change following the Last Glacial Maximum (LGM) that reflect proximity to the Cordilleran glacial ice loading and local rates of deglaciation. In this paper we present postglacial RSL histories for four coastal zones in a transect across northern Vancouver Island, Canada, derived from multiple proxies (isolation basin cores, geological exposures, archaeological sites, GIS-based landform interpretation), and relate these to the timing of glacial retreat after the LGM. Notably, parts of the west coast of northern Vancouver Island were ice-free by ∼18,200 years ago, earlier than much of the rest of Vancouver Island and the broader region. These four RSL reconstructions demonstrate substantial variation across the north end of Vancouver Island, which we attribute to regional differences in glacial isostatic processes. Additionally, some RSL curves reveal the likely effects of global glacial meltwater pulses. Documenting late Pleistocene and early Holocene coastline change in this region of Vancouver Island is significant for understanding the late Quaternary history of western North America more broadly: the RSL histories help delimit potential refugia and postglacial expansion of plants and animals (including humans) as the ice retreated. • We present four new relative sea level curves for Northern Vancouver Island, Canada. • RSL histories vary from east to west, related to glacio-isostatic processes. • Radiocarbon ages constrain timing of glacial retreat, landscape change. • Some parts of northern Vancouver Island have been ice-free for ∼18,200 years. • Past shoreline positions help understand postglacial expansions of plants/animals. [ABSTRACT FROM AUTHOR]

• New carbon-sequestration geosystem paradigm proposed for screening CO 2 repositories. • Deposition, burial history 1st-order controls on repository attributes, traps, etc. • Genetic understanding of geology enables property prediction away from data control. • Case-study application to heavily industrialized region of onshore Canada. In this paper, I propose a new geoscience paradigm for evaluating potential carbon-sequestration targets. I introduce the term carbon-sequestration geosystem to study and describe portions of sedimentary basins where all the geologic components necessary for the safe and long-term storage of CO 2 are present. The purpose of this type of analysis, most appropriately applied at a basin-screening stage, is to derive a holistic, genetic, and predictive understanding of the geology – the depositional systems, structural setting and other factors that are direct controls on storage, injectivity, potential for induced seismicity, and other critical factors. To illustrate the concepts, I present a re-evaluation of the geologic carbon-sequestration options in Southern Ontario (Canada) where business and environmental needs, mostly associated with hard-to-abate industries, require urgent action. Legacy wireline-logs, core, and outcrop data are the main data sources available in this onshore setting. The results of this new, independent study are broadly similar to those of previous studies: the Cambrian section, a saline aquifer, is the most likely candidate to be a CO 2 repository. However, the methodology used identified several issues (e.g., stratigraphic heterogeneity, proximity to basement) that will need addressing by targeted data collection and/or analysis before site-selection for a test should be undertaken. [ABSTRACT FROM AUTHOR]

Shipping in the Canadian Arctic has a long history, encompassing diverse maritime pursuits, ranging from traditional Inuit subsistence practices to European exploratory expeditions, whaling, and fur trading. The escalating impacts of climate change in the Canadian Arctic have created ample opportunities for Arctic shipping activities related to fishing, cruise tourism, resource (mineral) transportation, research, and government services. Nowadays, the necessity of developing a sustainable economy, the need for environmental protection, and the imperative of reconciliation with Indigenous Peoples present considerable challenges for the Canadian government in regulating Arctic shipping. To comprehend the contemporary issues of Arctic shipping governance, this paper conducts an overview of the history of Arctic shipping activities in Canada and reviews Canada's diverse policies and laws that have been instituted to govern Arctic shipping. Drawing upon the analysis of these policies, the article advocates for a collaborative governance framework to cope with the multifaceted challenges confronting the governance of Arctic shipping in Canada. Such a framework ought to prioritize enhancing cooperation, integrating unilateral and multilateral policies and laws, respecting the rights of Indigenous Peoples, and involving Inuit in Arctic shipping governance. [ABSTRACT FROM AUTHOR]

Permylene™ demonstration system (PDS), a membrane-based pilot unit for olefin/paraffin separation, is designed and fabricated by Imtex Membranes Corp. (Imtex). The PDS, equipped with pilot-scale Permylene™ elements, is capable of treating up to 3 kg/h of olefin/paraffin mixture. The PDS unit is installed in Imtex's testing lab in Mississauga, Ontario, Canada. Various plant-collected and lab-blended olefin/paraffin mixtures involving ethylene/ethane (C2), propylene/propane (C3), and butene/butane (C4) have been assessed on the unit. This paper is focused on the application of PDS for C3 separation, and a series of remarkable performances that have been achieved by the Permylene™ membrane and PDS unit. Propylene purity of over 98.5 vol% in the permeate/product stream has been reached over a wide range of propylene recovery rates, which could offer significant flexibility to meet various industrial operation conditions. Furthermore, the PDS unit demonstrates its stability and efficiency with 1200 hrs of continuous C3 permeation. Finally, a case study of recovering 90 % of propylene from 15,000 kg/h of C3 is performed to estimate energy consumption in commercial applications. The energy consumption of the Permylene™ process is calculated and compared with that of the distillation process. The result indicates that the energy consumption in PDS is extremely low, equal to only 8 % of that required in distillation. The study undeniably validates Permylene™'s remarkable capability for C3 separation, highlighting its potential as a viable and energy-efficient alternative to traditional distillation. [Display omitted] • The asymmetric membrane and solution replenishing overcome the instability. • This pilot unit is capable of treating up to 3 kg/h of olefin/paraffin mixture. • Propylene purity of 98.5 vol% is reached over a wide range of recovery rates. • Stable performance is shown in 1200 h of continuous C3 permeation. • The energy consumption in PDS equals 8 % of that required in distillation. [ABSTRACT FROM AUTHOR]

The literature on professional socialization focuses on how students adopt and internalize professional identities and values, and assumes that boundary work is essential to learning how best to practice their profession. However, a focus on boundary work in the context of midwifery training - which is embedded in the gendered and hierarchical landscape of maternity care - is lacking. Thus, this article examines how Canadian student-midwives learn to navigate and negotiate interprofessional boundaries. Grounded in a symbolic interactionist approach, it draws on 31 semi-structured qualitative interviews from a mixed-methods national study on midwifery retention, explores how midwifery students make sense of the tensions among midwives, physicians, and nurses, and describes what strategies they utilize when navigating boundaries. Our analysis, based in constructivist grounded theory, revealed that participants learned about interprofessional tensions in clinical placement encounters via direct or indirect interactions with other healthcare professionals, and that strategies to navigate these tensions included educating others about midwifery training and adopting a learner identity. This article proposes that the process of professional socialization enables to reshape professional boundaries and that students are not only learners but also agents of change. These findings may yield practical applications in health education by highlighting opportunities for improving interprofessional collaborations. • Boundary work is part of professional socialization process. • Professional boundaries are ambiguous in midwifery but they are understudied. • This paper examines boundary work among 31 Canadian midwifery students. • The boundaries were clear with physicians but blurred in communication with nurses. • Learning about boundaries, students recreated them but also became agents of change. [ABSTRACT FROM AUTHOR]

The fate of the carbon stored in frozen peatlands in Canada's Hudson Bay Lowlands (HBL) depends strongly on water, with wetter conditions favoring long-term storage. Dynamic surface water products generated from historical Landsat data exist to inform surface water trends in the HBL based on binary classifications of land vs water at 30 m spatial resolution. However, the HBL contains many water features smaller than 30 m, including streams and patterned fens that require a sub-pixel mapping approach to fully capture their dynamics. In this paper, we leverage an existing binary dynamic surface water product to generate a spatially and temporally comprehensive Landsat sub-pixel surface water time-series over the HBL. We first generate Landsat Red, NIR and SWIR composites from 1985 to 2021 and evaluate data-driven machine learning and physical models to derive sub-30 m water fractions across the entire mapping domain. Data-driven models were calibrated on 30 m water fractions obtained from 16 of 17 WorldView scene water fraction maps and assessed on the 17th held-out scene in a jackknife validation. Data-driven models were also calibrated by relating scaled Landsat reflectance to water fractions obtained from binary water masks at corresponding scales from 90 to 270 m. Physical models involved simple linear unmixing using a new approach that samples land endmembers in the vicinity of each pixel to represent land reflectance, and a global water endmember sampled beneath permanent water in each image. The assumption of linear scaling was verified at sub-30 m to 270 m resolution for NIR, SWIR and NDVI, which were all highly correlated with water fraction and had no significant differences among water fraction – spectral feature relationships across the full range of scales. Each of 11 different methods and input spectral features were evaluated against WorldView water fractions and ranked based on nine criteria. We found that machine learning using all spectral features including local NIR land endmembers performed best among data-driven approaches, and linear unmixing of the NIR band using local land endmembers performed best among physical. Both best-performing methods were applied to the entire time-series and surface water area trends were calculated and compared with trends obtained from binary water masks. All three methods agree on the direction of surface water change towards wetting, with sub-pixel inter-annual variation agreeing with stream discharge noted in other studies. • Physical and data-driven Landsat water fraction methods tested in the Hudson Bay Lowlands. • Physical methods perform linear unmixing between local land and global water endmembers. • Data-driven methods consist of machine learning calibrated using high-resolution water. • Best methods applied to 1985–2021 Landsat time-series reveal overall wetting trends. • Spatial trends generally suggest drying in bogs and wetting in fens. [ABSTRACT FROM AUTHOR]

Reliable construction project cost estimation relies on accurate quantity takeoffs (QTOs), traditionally done with error-prone 2-D drawings, but the emergence of Building Information Modeling (BIM) has improved QTO speed, accuracy, and reliability. However, the quality of BIM models can influence quantity accuracy, an aspect often overlooked in research on automating QTO with BIM. This paper develops an integrated framework to automatically extract and visualize construction quantities from BIM models. The system includes a Quantity Precision Check (QPC) module for automating more accurate QTO outputs. These outputs are then automatically transferred to an external database and visualized through a user-friendly dashboard on the Microsoft Power BI platform. This dashboard allows for comparisons between 2-D and BIM quantities and helps track changes in quantities over time due to design changes. The system was successfully validated in an infrastructure construction project in Canada, where it identified a 39% inconsistency in wall elements' material quantities and reduced steel quantity by 10% due to design changes. Overall, the system offers a speedy, reliable, and efficient tool for construction estimators, site managers, and cost control teams to provide accurate quantities to the procurement team and make swift decisions in response to design change impacts on construction costs. • This study introduces an automated QPC/QTO system for architectural and structural BIM models. • A QPC/QTO system workflow was developed to automatically calculate their quantities and check their accuracy in the BIM model. • The Data Extraction and Analysis Module was developed to automatically calculate, and check the accuracy of the quantities of each category. • The Data Visualization Module was developed to visualize the final QTO results and inconsistencies in BIM parameters after each update. • The system can be used as a fast and reliable tool for construction estimators to provide accurate quantities to the procurement team. [ABSTRACT FROM AUTHOR]

Megafauna, such as cold-water corals, can promote diversity through various processes, such as predation, bioturbation, competition, and facilitation as habitat engineers. Further investigation into their ecology and role in epifaunal community structure in the deep sea is needed. Diversity, abundance, and spatial patterns of epibenthic megafauna (≥2 cm) were quantified at regional-scales (100 s m – 100 s km) using high-resolution imagery from 15 stations in the Laurentian Channel Marine Protected Area, Canada. A patchy community structure was significantly associated with station and benthoscape class, which in turn was based on geological factors. Three types of assemblages included: (1) dominated by corals Pennatula sp. 2 and/or Hexacorallia (SC.) spp. in shallow eastern benthoscape classes with high abundance and low diversity; (2) a diverse mix of taxa (e.g. sea pens Anthoptilum spp. and Kophobelemnon spp., anemones/cerianthids, etc.) in deeper (>400 m) western benthoscape classes, with low abundance and high diversity; and (3) a unique community dominated by sponges. Overall, eight taxa contributed to most dissimilarities between stations, and communities were similar within 10 km but could differ at greater distances. Benthoscape classes captured environmental factors (e.g. depth and substrate) that may be responsible for changes in diversity and abundance, and are used as a proxy for different habitats. Our study advanced the understanding of regional spatial patterns in the abundance, composition, and diversity of epibenthic communities, by identifying spatial patterns particularly in the Laurentian Channel where data were limited, adding to interpretations of spatial ecology in a previous fine-scale study. Additionally, these spatial patterns reflect various underlying ecological processes that are mostly unknown. Our community analysis and observed changes in abundance and diversity have implications that can help inform future monitoring designs to promote representative and meaningful spatial assessments. • Abundance and diversity of deep-sea epifauna are patchy on 100 m–100 km scales. • Assemblages of varying composition were related to a proxy for different habitats. • Spatial drivers of distributions linked to geological features. • Spacing between images (resolution) can impact estimates of abundance or diversity. • Monitoring designs informed by spatial ecology ensure representative assessments. [ABSTRACT FROM AUTHOR]

In light of public scandals and legislative pressure, Canadian universities have instituted sexualized violence policies in an attempt to curb harm on campus. As the first step, policy-making committees and task forces were established to spearhead institutional change. Using data from 49 qualitative interviews with feminist faculty across Canada, we examine how these policy-making committees utilized feminist expertise, particularly whether feminists with intersectional positionalities and expertise were invited to the table and if their expertise was used to inform the resulting institutional policies. As our findings illustrate, even though policies profess to seek or incorporate intersectionality, experts in intersectionality– particularly those with intersectional positionalities– are rarely invited or heard. As we argue in this article, post-secondary institutions actively work against intersectionality by narrowing the mandates of committees and siloing task forces from other Equity, Diversity, and Inclusion (EDI) concerns. Additionally, invitations to serve as experts on sexualized violence committees are often reserved for feminists deemed by administrators to be palatable, and those invited who embody diversity are used to rubber stamp the process of creating sexualized violence responses instead of informing the policies. This article illustrates the various ways in which PSI committees' constitutions and their mandates tend to make intersectionality a performative rather than informative guiding principle. [ABSTRACT FROM AUTHOR]