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• 72% − 80% of fibre was recovered from disposable coffee cups. • 2% and 3% consistency shredded cups required > 100 kWh/tonne to repulp with 3 refiner passes. • Pulp quality did not significantly diminish after repulping using a single-disk refiner. Over 64 billion paper-plastic laminate (PPL) coffee cups are consumed between the United States and Canada annually, the majority accumulating in landfills due to a hydrophobic plastic inner-lining. Recycling can mitigate environmental damage and provide economic value from repurposed products. We found that standard repulping methods were insufficient to separate fiber from plastic due to the low intensity of treatment. To increase process intensity, we mechanically refined shredded PPL coffee cups and Kraft eucalyptus sheets (control) at 2%, 3%, and 4% consistencies with three passes to determine the energy required to separate fibers from plastic and the effects on fiber quality. 2% and 3% consistency PPL cups measured under 40 kWh/tonne of input material for one refiner pass and ∼ 80 kWh/tonne for 4% consistency PPL cups. Recovered fiber fraction totaled 87.7%, 85.3%, and 80.5% of input mass of Kraft eucalyptus and 72.3%, 72.6%, and 79.6% of input mass of PPL cups at 2%, 3%, and 4% consistency, respectively. Fines content of PPL cups jumped from 8% pre-refining to ∼ 30% post-refining while Kraft eucalyptus fibers were unaffected, suggesting that breaking the plastic-fiber bonds results in fines generation. Mean fiber length of PPL cups slightly decreased with consistency and tensile strength improved. Freeness decreased with consistency only in PPL cup samples. These results demonstrate a low energy requirement to effectively separate fiber and plastics in PPL cups as well as minimal impact on fiber quality using existing refining technology, and provides an estimate of the financial costs of local recycling efforts. [ABSTRACT FROM AUTHOR]

A vast amount of articles centered on brain metastases have been published. To present the 100 most-cited articles dedicated to brain metastasis and to accomplish a broad literature review. In December 2019, we performed a title-focused search using the Thomson Reuters Web of Science database to identify the most cited articles centered on brain metastatic disease. Our search query term was based on using the following algorithm: "brain metastases" OR "brain metastasis" OR "brain metastatic disease" OR "cerebral metastases" OR "cerebral metastasis" OR "cerebral metastatic disease." Afterward, we reviewed the results to certify that they were relevant to the purposes of our research protocol. The 100 most cited papers were chosen and further analyzed. Our search resulted in 11,579 articles, published from 1975 until the completion of our survey. The most cited article, by Patchell et al., was published in 1990, with 1862 citations, and an average of 62.07 citations per year, whereas the last in our list, by Gaspar et al., was published in 2010, with 195 total citations, and an average of 19.50 citations per year. Countries with the highest-cited articles included the United States (75 records), followed by Canada (16 records). We discovered the top 100 most-cited articles centered on brain metastasis, all of which show a potentially increased level of interest, because they are meaningful scientific reports. In addition, we reviewed the historical development and advances in brain metastasis research and relevant points of interest, alongside the relevant contributions of different authors, fields of special interest, and countries. Many of the most cited articles were written by authors whose specialty was not neurosurgery or by neurosurgeons who were supported by colleagues from other medical fields. As a consequence, many of these articles were not published in neurosurgery-dedicated journals. [ABSTRACT FROM AUTHOR]

Efforts to prevent work-related injuries have met with tangible success in industrialized countries. In Quebec, workplace accidents and occupational illness have declined sharply since the end of the 1990s. However, there is still considerable room for improvement in small and medium-sized enterprises (SMEs). Expert specialists in accident prevention in SMEs are overloaded. Their interventions are repetitive and not personalised. Few tools are available for accelerating the process of evaluating occupational health and safety (OHS) performance. The aim of this research project was to address this deficiency by proposing a novel OHS performance evaluation tool better adapted to SMEs. For this purpose, research was carried out in two distinct phases. The first phase led to the theoretical model on which the tool is based. The second phase was carried out using an action research approach. The proposed tool was designed and improved during this phase, through field-testing and the involvement of a Quebec industrial partner. In spite of the limitations of this research, we have succeeded in developing a new tool with software support adapted specifically for the evaluation of OHS performance in SMEs. Upon completion of the project, a tested and improved version of the tool was delivered to the industrial partner. Experts in accident prevention have found the tool to be reliable and helpful. It has accelerated the identification of deficiencies in OHS management in several SMEs and has helped specialists to develop personalized and better-focused plans of action. [ABSTRACT FROM AUTHOR]

[Display omitted] • Novel method to estimate total technical potential for improving energy efficiency. • Bottom-up sector energy model used to characterize energy demands and opportunities. • Technology-explicit analysis framework used to estimate integrated energy savings. • Application to Canada's pulp & paper sector indicates major savings are possible. • Technical potential to reduce natural gas use by 95% and net electricity by 54% Industrial energy efficiency has long been recognized as a critical tool for energy management and emissions reduction and is increasingly considered to be an energy resource in its own right. However, the complexity of most industrial sectors creates barriers for modellers, companies, and policymakers in understanding and achieving the overall potential for efficiency-driven energy savings. To address this gap, we have developed a novel method that combines disaggregated bottom-up sector energy modelling with analysis of a comprehensive set of technology-explicit energy efficiency measures. This approach overcomes the deficiencies of top-down analyses and better represents the complexities of multi-measure efficiency investments compared to piecewise studies of individual measures. In this study, we demonstrated application of our method to the case of the Canadian pulp and paper sector. Our analysis shows that the sector can reduce its natural gas and electricity use by 95% and 41%, respectively, by adopting economical efficiency measures. This equates to 71 PJ of natural gas and 44 PJ of electricity saved annually and would result in cost savings of $81 per tonne of output sector-wide. Notably, we find that efficiency and fuel switching have the technical potential to reduce natural gas consumption by 98% across the sector. Taken together, the results provide quantitative evidence that energy efficiency is an underestimated resource for cost-effective energy savings in the Canadian pulp and paper sector. Our analysis framework can be applied to any industrial sector in any region to provide insights regarding energy conservation strategies and policy design. [ABSTRACT FROM AUTHOR]

Abstract Scope Antibiotic stewardship programmes (ASPs) are necessary in hospitals to improve the judicious use of antibiotics. While ASPs require complex change of key behaviours on individual, team organization and policy levels, evidence from the behavioural sciences is underutilized in antibiotic stewardship studies across the world, including high-income countries (HICs). A consensus procedure was performed to propose research priority areas for optimizing effective implementation of ASPs in hospital settings using a behavioural perspective. Methods A workgroup for behavioural approaches to ASPs was convened in response to the fourth call for leading expert network proposals by the Joint Programming Initiative on Antimicrobial Resistance (JPIAMR). Eighteen clinical and academic specialists in antibiotic stewardship, implementation science and behaviour change from four HICs with publicly funded healthcare systems (e.g. Canada, Germany, Norway and the UK) met face-to-face to agree on broad research priority areas using a structured consensus method. Question addressed and recommendations : The consensus process assessing the ten identified research priority areas resulted in recommendations that need urgent scientific interest and funding to optimize effective implementation of ASPs for hospital inpatients in HICs with publicly funded healthcare systems. We suggest and detail behavioural science evidence–guided research efforts in the following areas: (a) comprehensively identifying barriers and facilitators to implementing ASPs and clinical recommendations intended to optimize antibiotic prescribing; (b) identifying actors ('who') and actions ('what needs to be done') of ASPs and clinical teams; (c) synthesizing available evidence to support future research and planning for ASPs; (d) specifying the activities in current ASPs with the purpose of defining a control group for comparison with new initiatives; (e) defining a balanced set of outcomes and measures to evaluate the effects of interventions focused on reducing unnecessary exposure to antibiotics; (f) conducting robust evaluations of ASPs with built-in process evaluations and fidelity assessments; (g) defining and designing ASPs; (h) establishing the evidence base for impact of ASPs on resistance; (i) investigating the role and impact of government and policy contexts on ASPs; and (j) understanding what matters to patients in ASPs in hospitals. Conclusions Assessment, revisions and updates of our priority-setting exercise should be considered at intervals of 2 years. To propose research priority areas in low- and middle-income countries, the methodology reported here could be applied. [ABSTRACT FROM AUTHOR]

The article presents a synopsis on comprehensive non-surgical treatment which leads to improved walking ability in people with lumbar spinal stenosis. Topics discussed include dominant symptom of people with lumbar spinal stenosis; marginal differences between treatment groups in other more traditional outcomes; and training program offered to the comprehensive training and motivated patients.

In today's globalized world wood-based products are often imported from countries other than those where the wood was grown. Bilateral trade statistics are thus only of limited help for getting a better understanding of how production-related environmental impacts are caused by consumption elsewhere. This study presents a novel physical accounting model that allows flows of wood-based products to be traced along international supply chains, therefore making it possible to consistently relate the consumption of wood-based products to the origin of roundwood. In comparison to previous studies, the proposed method covers entire supply chains, including finished wood and paper products, such as furniture and printed matter, and also accounts for flows of processing residues and recovered paper. The main results of the accounting model are detailed country-by-country matrices indicating the locations of origin of the products consumed in a given nation. For instance, it is revealed that out of the finished wood products consumed in the USA in 2018, 75.6% originated domestically, 10.7% from neighbouring Canada and the remaining 13.7% from other countries. Potential applications and extensions of the presented approach are also discussed. • The accounting approach traces flows of wood-based products along supply chains. • The method has a high regional resolution and covers 16 different products. • Processing residues, recovered paper and finished products are also accounted for. • Matrices indicate the origin of the raw material contained in consumed products. • The model is useful for investigating the theory of unequal ecological exchange. [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]

This paper examines whether a forced displacement of an ethnic group can lead to long-run changes to their spatial distribution and whether this shock can also lead to changes in where new migrants settle. I use the Canadian government's internment of Japanese Canadians during World War II, as well as their post-war forced resettlement, as a natural experiment. I find that the policy led to dramatic resettlement patterns; areas where Japanese Canadians were removed from had far fewer Japanese Canadians after World War II, with this effect persisting for decades. Despite these displacement patterns, I find that both the pre-war and post-war settlement patterns drive where new Japanese migrants settle within Canada, suggesting that the disruption of the connections and networks formed by Japanese migrants before World War II were not fully dismantled by the Canadian government's wartime policies. Reinforcing this mechanism, I show using Facebook's social connectedness data that Japanese population shares from both 1931 and 1951 predict whether a Canadian Census Division is more socially connected with Japan today. The results from this paper show that, despite Canada's forced dispersal of its Japanese population across the country, networks and forces that connect Census Divisions to Japan and draw in new migrants continued to persist. [ABSTRACT FROM AUTHOR]

Direct air capture of carbon dioxide (CO 2) is technically a feasible solution for reducing atmospheric CO 2 concentrations at scale, building on decades of global research. However, powering such systems even partially with CO 2 -intensive fossil fuels results in more CO 2 emissions. This paper presents a novel energy management strategy (EMS) to further explore modular offshore wind energy off Canada's West Coast via power-to-direct air capture and power-to-gas systems. The system architecture includes a 15 MW wind turbine paired with a hydrogen energy storage system, i.e. hydrogen production and storage, and direct air capture (DAC) units. Hydrogen production from wind generation is stored and used to offer two key benefits: to deliver the thermal loads of the DAC system, and to meet hydrogen demand for external consumers. The proposed EMS offers an extra degree of freedom to operate the designed system by setting the priority either to maximize the amount of CO 2 capture or to maximize the amount of H 2 production for external consumers. In particular, the study incorporates dynamic mathematical modeling and constraints formulation for the aforementioned scenarios; DAC priority for CO 2 capture and H 2 for external hydrogen demand satisfaction. The effectiveness of the proposed EMS is shown through extensive simulations with different seasonal conditions. • Detailed mathematical dynamical models for offshore power-to-DAC and power-to-gas systems. • Green hydrogen production for two-fold benefits; H 2 for meeting DAC thermal loads, and H 2 as fuel for external consumers. • Scenario 1 prioritize the CO 2 capture rate, while scenario 2 maximizes the H 2 production for external consumers. • Design of EMS shows the correct unit commitment of the CO 2 capture rate and H 2 tracking. [ABSTRACT FROM AUTHOR]

For the complex dynamical network (CDN) with uncertainties, this paper defines the links synchronization and synthesizes the adaptive control scheme to realize it. Generally speaking, a CDN can be considered as the composition system with the two coupled dynamic subsystems: the nodes subsystem (NS) and the links subsystem (LS). We observed that there are many results in the existing literature on the NS synchronization, which implies that the state at each node tends to be the same when the NS synchronization happens. However, the LS synchronization is rarely discussed in the existing literature due to its unknown meaning and engineering practice background. Inspired by the ego-networks, this paper employs the time-varying outgoing links at each node to geometrically describe the changing of network topologic structure and regards the values-weighted of outgoing links as the state variables of LS, by which the LS synchronization is introduced, the corresponding control scheme for its implementation is synthesized under the condition that the state of NS is available and the state of LS is unavailable. The control scheme includes the adaptive controller for NS and the coupling strategy for LS. Finally, the effectiveness of proposed control scheme in this paper is verified by a numerical example. [ABSTRACT FROM AUTHOR]

This paper examines Indigenous perspectives on energy sustainabilities. We as Indigenous Elders and non-Indigenous scholars collectively explore how pipeline leaks that cost several Indigenous communities of the Treaty 6 region (known as western Canada). While the pipeline project has brought income to some, and wealth to the few, its impact on the environment and on the lives of many Indigenous groups is profoundly concerning. Indigenous communities are particularly vulnerable to pipeline leaks, yet have limited capacity to mitigate them as compared to larger urban centers. Using an Indigenist research framework, we used deep listening, traditional stories, reflective journals, cultural camps, and collective stories. We followed traditional protocols, continuous forms of consent, respect, and honour Indigenous Elders and Knowledge-keepers' stories. We learned about community Elders, Knowledge-keepers, and leaders' suggestions on how strategic decisions need to be made about pipeline leaks management and energy sustainabilities. The purpose of this paper is to provide Indigenous communities, particularly those communities of western Canada, with new community-led guidelines that can help them make strategic choices about pipeline leaks management to enhance their resiliency to energy. In this paper, we highlighted community suggestions on how to flip the traditional approach of fitting Indigenous ways of knowing into the Canadian legal structures by starting with Indigenous ways of knowing about the relationships of Indigenous people with land, water, and energy together with the impacts of the energy. We hope this paper may assist policy makers and Indigenous communities in sustainable energy policy development and provide a structured, transparent, and participatory decision support tool to government and communities to guide future energy management planning initiatives. • Identify community-led consultation practices for energy management. • Develop a community-led energy resiliency guideline. • Create risk evaluation framework for addressing pipeline leaks and energy management. • Explore community-led solutions anchored in sustainable energy management politics. • Support Indigenous communities' and organizations' attempts to negotiate. [ABSTRACT FROM AUTHOR]

Many travel surveys used in transportation planning still collect information over a single weekday while mobility and activity patterns fluctuate from day to day. However, the emergence of new continuous data sources has led to the generation of large amounts of longitudinal data. Therefore, this paper aims to value these two data types to cross-analyze the temporal variability of aggregated travel behaviors. A weighting method based on large-scale single-day survey samples was first developed to extend the representativeness of the daily trip diaries available in the three most recent Origin-Destination household travel surveys of Montreal, Canada, to the entire data collection period (four months in the fall). This method was then validated using passive data streams (smart card and count data) for three modes: car, subway, and bicycle. The variations in the daily use of these modes measured independently by the surveys and passive data were compared over several months of the fall period and throughout an average week. Indicators were also proposed to evaluate whether the two data sources capture the same trend and seasonality, especially the weekly rhythms. The results show that it is possible to accurately infer day-to-day variability in travel behavior from a large-scale cross-sectional single-day survey. Furthermore, this paper demonstrates the potential for complementarity between traditional surveys and emerging data (at least over the survey period), as well as the possibility to combine them since there are large similarities in the aggregated travel patterns they allow monitoring. [ABSTRACT FROM AUTHOR]

Methadone has several unique characteristics that make it an attractive option for pain relief in serious illness, but the safety of methadone has been called into question after reports of a disproportionate increase in opioid-induced deaths in recent years. The American Pain Society, College on Problems of Drug Dependence, and the Heart Rhythm Society collaborated to issue guidelines on best practices to maximize methadone safety and efficacy, but guidelines for the end-of-life scenario have not yet been developed. A panel of 15 interprofessional hospice and palliative care experts from the U.S. and Canada convened in February 2015 to evaluate the American Pain Society methadone recommendations for applicability in the hospice and palliative care setting. The goal was to develop guidelines for safe and effective management of methadone therapy in hospice and palliative care. This article represents the consensus opinion of the hospice and palliative care experts for methadone use at end of life, including guidance on appropriate candidates for methadone, detail in dosing, titration, and monitoring of patients' response to methadone therapy. [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]

This paper uses a network approach to study the relationship between trade agreements and trade flows. For the first time in the literature, hypergraphs are used to capture the topology of trade agreements, while the usual graphs are used to represent trade flows. For our analysis, we focused on a snapshot of data from July 2017, before CETA as an agreement in force only in September 2017. An analysis of modularity conducted on both the trade agreements and the trade flows shows an imperfect correspondence between the communities of countries found within the two networks. Although the motivations of Brexit were multiple and, for the most part, far from commercial concerns, Brexit appears as a way to reconcile the networks of flows and agreements. On the other hand, Canada already belonged to the European cluster of trade agreements before the CETA agreement, which therefore appears only as an ex post confirmation of an existing situation. [ABSTRACT FROM AUTHOR]

While Canada has had relatively high vaccination rates against COVID-19, specifically during earlier waves of the pandemic, vaccine hesitancy has continued to serve as a significant barrier to adequate protection against the virus and, more recently, booster vaccine uptake. This paper explores the processes underlying Canadians' perceptions of COVID-19 vaccines and their decisions to take or refuse them, as well as how public policy and health messaging about vaccination has influenced vaccination attitudes and behaviors. Our focus group interviews with 18 vaccinated and unvaccinated adult Canadians conducted during October 2021 reveal that, in some respects, COVID-19 vaccine hesitancy conforms to prior knowledge about some of the factors that affect vaccine attitudes (e.g., the influence of known medical providers) but deviates from current theoretical frameworks regarding general vaccine hesitancy. Specifically, these frameworks emphasize a lack of scientific knowledge and literacy ("knowledge deficit" accounts) or individuals' inability to incorporate rational risk perceptions into initial emotional responses to vaccines ("emotionality/irrationality" accounts). In contrast to the knowledge deficit account, we find that expressions of COVID-19 vaccine hesitancy were most frequently associated with an information surplus or inability to prioritize information from multiple and often contradictory sources. Furthermore, top-down pro-vaccination messaging often triggered significant pushback against what participants perceived as moral shaming of the unvaccinated. Our findings demonstrate the necessity for a new framework to understand and address vaccine hesitancy. A better theoretical account of vaccine hesitancy has important implications for future vaccination efforts, specifically within the context of new variants and low booster vaccination rates in Canada. [ABSTRACT FROM AUTHOR]

• 43 % of WHO member states have school vaccine mandates, but policy details vary. • Some mandates have begun to include education components for non-vaccinating parents/guardians. • Currently, education components are used only in Canada and the U.S.; most are online modules. • Evidence suggests in-person counseling is associated with decreased non-medical exemptions. • Additional research, especially on online module education components, is required. School vaccine mandates (SVMs) are population health interventions that require monitoring and communicating about vaccination of school-aged children, with an aim of controlling infectious disease outbreaks. While 43 % of World Health Organization member states report having some sort of SVM, their details vary. A newer element of some SVMs is an "education component" requiring compulsory information, education, or counseling of parents/guardians who decline to vaccinate their children for non-medical reasons. This environmental scan sought, mapped, and synthesized evidence on the existence, format, and impacts of education components of SVMs in 18 affluent Organization for Economic Co-operation and Development comparator countries. We found current SVMs in nine of the 18 comparator countries, but education components to those SVMs only in Canada (n = 2) and the U.S. (n = 9), where such policies were made at the provincial/state level. The earliest was implemented in 2011 and most recent has not yet been implemented. Education components were used as requirements for obtaining non-medical exemptions from SVMs, and involved either an informational paper to be read and signed, a counseling or information session from a health professional (public health worker or licensed provider such as family doctor), or an online module to be completed. Peer-reviewed research on in-person sessions suggests association with at least short-term increased vaccine uptake and reduction of non-medical exemptions. Available data on online module education components suggests similar impacts, but research to date is limited. SVMs with educational components are uncommon but have been increasing since 2011. The details of these education components vary, although topics covered in online modules are relatively consistent. Evidence to date suggests at least short-term reduction in non-medical exemptions associated with implementation of SVM education components, but additional research is required to follow-up and confirm, especially as regards online education modules. [ABSTRACT FROM AUTHOR]

• The COVID-19 pandemic has challenged traditional vaccine guidance infrastructure. • NACI made many strategic adaptations to facilitate timely vaccine advice in Canada. • The pandemic highlighted critical roles for NITAGs in vaccine program design. • Learning from COVID-19 pandemic adaptations, we see a roadmap for future pandemics. The COVID-19 pandemic has challenged traditional vaccine guidance infrastructure and frameworks, and added urgency and complexity to the operation of National Immunization Technical Advisory Groups (NITAGs). Canada's National Advisory Committee on Immunization (NACI) provides immunization guidance to the Public Health Agency of Canada (PHAC) who publicly shares expert and evidence-informed guidance with Canadian provinces and territories. Throughout the pandemic, NACI and PHAC implemented many adaptations to meet urgent needs for pandemic vaccine guidance. In this paper, we describe: structural adaptations in response to the accelerated pace and amount of work required to issue recommendations that were timed around product authorizations and dynamic epidemiology; technical adaptations in response to rapidly evolving evidence of variable quality which required close monitoring, and which promoted reliance on basic vaccine principles due to incomplete direct evidence; the need to provide nimble advice (e.g., off-label recommendations, preferential recommendations); communications adaptations (e.g. identify sustainable spokespeople for the committee, receive stakeholder feedback, and ensure urgent nuanced advice was communicated to a diverse audience); and research adaptations focussing on solutions to constrained supply (e.g. prioritisation, extended intervals, and heterologous schedules). The early pandemic vaccine experience has created a roadmap of lessons and adaptations that should be leveraged in future pandemic vaccine programs, and has highlighted the essential role of NITAGs to complement regulatory structures during pandemics to ensure timely, impactful, and evidence-informed public health vaccine guidance. [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]

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]

High performance of HVAC connected Building Integrated Photovoltaic/Thermal (BIPV/T) systems relies on appropriate control. However, optimal control is often overlooked, resulting in systems that operate inefficiently. This paper investigates how model predictive control (MPC) can improve the operation of open loop air-based BIPV/T systems connected to multiple thermal applications. The BIPV/T system at the first institutional net-zero energy building in Canada, the Varennes library, is used as an archetype. The BIPV/T covers 16% of the south-facing roof and operates under a simple rule-based control strategy. The developed control and design strategies consider variations of this system, to achieve higher thermal utilization efficiency. A control-oriented BIPV/T model is developed and calibrated using monitored data. The BIPV/T airflow is regulated through MPC for simultaneous heat supply to an Energy Recovery Ventilator and air-to-water heat pump. The BIPV/T air flow is efficiently controlled, considering the connected thermal applications, environmental conditions, and PV temperature. Model-based control for BIPV/T systems can increase the amount of useful heat and reduce PV overheating. The MPC controller for the examined system reduced the building energy consumption compared to the business-as-usual operation by 40% and together with increased BIPV/T area can supply excess heat to adjacent buildings. [ABSTRACT FROM AUTHOR]

In Canada, public insurance for physician and hospital services, without cost-sharing, is provided to all residents. Outpatient prescription drug coverage, however, is provided through a patchwork system of public and private plans, often with substantial cost-sharing, which leaves many underinsured or uninsured. We conducted a systematic review to examine the association of drug insurance and cost-sharing with drug use, health services use, and health in Canada. We searched 4 electronic databases, 2 grey literature databases, 5 specialty journals, and 2 working paper repositories. At least 2 reviewers independently screened articles for inclusion, extracted characteristics, and assessed risk of bias. The expansion of drug insurance was associated with increases in drug use, individuals who reported drug insurance generally reported higher drug use, and increases in and higher levels of drug cost-sharing were associated with lower drug use. Although a number of studies found statistically significant associations between drug insurance or cost-sharing and health services use, the magnitudes of these associations were generally fairly small. Among 5 studies that examined the association of drug insurance and cost-sharing with health outcomes, 1 found a statistically significant and clinically meaningful association. We did not find that socioeconomic status or sex were effect modifiers; there was some evidence that health modified the association between drug insurance and cost-sharing and drug use. Increased cost-sharing is likely to reduce drug use. Universal pharmacare without cost-sharing may reduce inequities because it would likely increase drug use among lower-income populations relative to higher-income populations. • There is a gap in the literature pertaining to the effects of drug insurance and cost-sharing in a Canadian context. • We conducted a systematic review of Canadian studies and found that there was consistent evidence that the expansion of drug insurance was associated with meaningful increases in drug use, that individuals who reported drug insurance coverage generally reported higher drug use relative to those who reported no coverage, and that increases in and higher levels of drug cost-sharing were associated with lower use. • Universal pharmacare without cost-sharing may reduce inequities in access to essential drugs. [ABSTRACT FROM AUTHOR]

• The global uniform exponential stability is established for zero-order delayed systems. • The stability results for impulsive dynamical networks are obtained. • The event-triggered impulsive control (ETIC) is designed to stabilize dynamical networks. • ETIC has lower impulse frequency and control cost than the classic impulsive control. • A non-instantaneous ETIC is proposed to improve the instantanity and discontinuity of ETIC. This paper studies the stability for impulsive dynamical networks (IDN) where different nodes may have different impulse time sequences. By deriving the conditions of global uniform exponential stability for zero-order delayed systems, the criteria of stability for IDN are established. The stability results for IDN are then used to design event-triggered impulsive control (ETIC) for stabilization of continuous-time dynamical networks (CDN). In every node of CDN, three levels of event-triggering conditions are set for ETIC. The exponential stabilization of CDN is shown to be achieved by the designed ETIC and it also shows that the ETIC is robust w.r.t. time-delays. Moreover, a non-instantaneous ETIC (NI-ETIC) is proposed for the stabilization of CDN. Three examples with numerical simulations are given to show that the designed ETIC has lower impulse frequency and cost of control than the classic time-triggered impulsive control. It is also shown that the discontinuity and the instantanity of ETIC are improved by the NI-ETIC. [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]

• The paper proposes accurate and representative multi-output regression method. • The method is based on polygon generation and deep generative modeling. • It learns the true distribution of complex industrial data. • The method expresses all interrelationships between data inputs and outputs (KPIs). • It is tested for KPIs' prediction using data collected from an industrial plant. This paper proposes an innovative multi-output regression method that processes and converts the numeric data variables into representative images (polygons) to build accurate predictive models in industrial applications with several dependent variables (responses). In this method, polygon images are generated from both the inputs and outputs of numeric data. The images representing the data inputs are then translated into those representing the outputs by training a conditional generative adversarial network (cGAN). The output images of the trained cGAN are then mapped into the outputs to get back the predicted numeric values. The advantage of the proposed method is that it makes use of the breakthrough of deep generative modeling to learn the true distribution of complex data, which is difficult to determine in many industrial applications. This is attributed to the fact that the generated polygons express all interrelationships between the data variables in the form of trustworthy representational images used to train the cGAN model. The performance of the proposed method was validated successfully using a complex industrial dataset acquired from a black liquor recovery boiler (BLRB) in a Kraft pulp & paper mill located in Canada. Three key performance indicators (KPIs), one economic and two environmental, are used as regression outputs in the BLRB dataset. The results of the proposed method demonstrate better performance than other comparable machine learning regression methods. [ABSTRACT FROM AUTHOR]

This paper develops a framework for a financial, economic, and stakeholder analysis of a residential rooftop solar net-metering program. The empirical focus of the paper is the net-metering program in Ontario, Canada, but the methodology is applicable to evaluating other public programs. The results highlight that without the Federal Government's subsidy for the initial investment cost, net-metered solar systems are not financially viable for representative households. Moreover, the stakeholder analysis reveals that for each additional net-metered system installed in Ontario, non-net-metered households experience financial losses of six times the benefits to the net-metered households. The net losses to the Federal Government of Canada and the Canadian economy are five and nine times the benefit to the net-metered households, respectively. The only stakeholder who benefits marginally is the Government of Ontario. In terms of environmental benefits, our estimate of the cost of greenhouse gas abatement by residential net-metered solar is 325 CAD per ton of CO 2 , which is significantly higher than the current (65 CAD in 2023) and future (170 CAD by 2030) national carbon price set by the Government of Canada. [ABSTRACT FROM AUTHOR]

The paper presents in-depth three-dimensional finite element analyses investigating geosynthetic-reinforced soil walls with turning corners. Validation of the 3D numerical procedure was first performed via comparisons between the simulated and reported results of a benchmark physical modeling built at the Royal Military College of Canada. GRS walls with corners of 90°, 105°, 120°, 135°, 150°, and 180° were simulated adopting the National Concrete Masonry Association guidelines. The behaviors of the GRS walls with corners, including the lateral facing displacement, maximum reinforcement load, factor of safety, potential failure surface, vertical separation of facing blocks, and types of corners were carefully evaluated. Our comprehensive results show (i) minimum lateral displacement occurs at the corner; (ii) lower strength of reinforcements are required at the corner; (iii) higher corner angles lead to lower stability; (iv) potential failure surface forms earlier at the end walls; (v) deeper potential failure surfaces are found at the corners; (vi) larger numbers of vertical separations are found at walls with smaller corner angles. The paper highlighted the salient influence of the corners on the behaviors of GRS walls and indicated that a 3D analysis could reflect the required reinforcement length and the irregular formation of the potential failure surfaces. • The minimum lateral displacement always occurred at the turning corner. The larger the corner angle, the smaller the deformation difference throughout the sections of the GRS walls. • Less strength of reinforcement was required in the corner than to the end walls, and the required strength of the reinforcement increased with increasing turning corner angle. • The smaller the corner angle, the higher the FOS, suggesting that a conventional 2D (plane-strain) analysis may underrepresent the existence of the corners. • Reflected by the 3D analyses, the potential failure surface grew deeper near the turning corner, indicating that a longer required length of reinforcement should be adopted at the corner. • The effects of the turning corner, in terms of lateral facing displacement, maximum reinforcement load, FOS, potential failure surface, and vertical separation of facing blocks, were less significant at larger angles. [ABSTRACT FROM AUTHOR]

• Developing a new optimization model for designing a tire closed-loop supply chain. • Presenting a Spherical fuzzy logic method to calculate the importance of suppliers. • Discussing the application of the model in Greater Toronto Area, Canada. • Solving the multi-objective model using the augmented ε -constraint method. • Performing extensive sensitivity analyses and analyzing the results. For tire manufacturers to remain profitable while fulfilling environmental and social obligations such as producer responsibility, the opportunity lies in designing a tire Closed-Loop Supply Chain (CLSC) which combines forward and reverse supply chains. In this paper, a new multi-objective mixed-integer linear programming model is proposed to configure and optimize a multi-echelon, multi-product, multi-period tire CLSC network based on multiple recovery options and markets. For one of the objectives of the model, the weighting factors (importance) of suppliers are determined according to a unique framework of qualitative criteria. In this respect, a novel decision-making method based on Spherical fuzzy logic is developed. Finally, the solution approach is devised based on the formulation of the augmented ε -constraint method for finding efficient solutions. The application of the model is illustrated focusing on the region of Greater Toronto Area in Ontario, Canada. The optimal quantities for the flows of products, and number and locations of open facilities of the network are computed. The results show that the selected suppliers and allocated orders from them are impacted by considering multiple objectives. [ABSTRACT FROM AUTHOR]

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The research pertaining to racial disparities for Black families in child welfare is relatively limited in Canada. Recent research reveals that the overrepresentation of Black families in Canadian child welfare systems typically begins at the reporting or investigation stage and continues throughout the child welfare service and decision-making continuum. This research is occurring against the backdrop of increasing public acknowledgement of Canada's historic anti-Black policy-making and institutional relationships to Black communities. Though there is increased awareness about anti-Black racism, there has been limited exploration of the connection between anti-Black racism in child welfare legislation and how this policy generates disparities for Black families in both child welfare involvement and outcomes – this paper seeks to fill this gap in knowledge. The objective of this paper is to explore the entrenchment of anti-Black racism within the child welfare system by critically assessing the language and absence of language within the guiding legislative and implementation policies. Utilizing a critical race discourse analysis method, this study explores the entrenchment of anti-Black racism within the Ontario child welfare system by critically assessing the language and absence of language within the guiding legislative policies that shape practice for Black children, youth, and families. The findings revealed that though the legislation does not explicitly address anti-Black racism, there were instances where the legislation indicated that race and culture may be considered in responding to children and families. The lack of specificity, particularly in the Duty to Report, has the potential to contribute to disparate reporting and decision-making for Black families. Policy makers should acknowledge the history of anti-Black racism that informed the development of the legislation in Ontario and move towards tackling systemic injustices that disproportionately affect Black families. More explicit language will shape future policies and practices to ensure that the impact of anti-Black racism is considered across the child welfare continuum. [ABSTRACT FROM AUTHOR]

Icing losses encountered in a wind farm are very hard to assess as they can vary by a factor of three from year to year. This inter-annual variation is a critical issue from the assessment phase to the operation of wind turbines in cold climate. To mitigate the effects of this issue, a proposed solution is to define an ice index to yield a reference for icing conditions based on historical values. Knowing that icing frequency has an inter-annual variation 5 times greater than the wind speed, the definition of an ice index is long overdue. This paper proposes a simple and accessible method for defining an ice index based on cloud base height measured at a weather station. A similar strategy is already used in the industry for other purposes such as estimating the long-term average icing frequency in icing maps. The novelty of the proposed method lies in the description of the variation in icing frequency rather than its long-term average. The ice index proposed in this paper is shown to be representative of the icing losses in 6 wind farms located in eastern Canada. Moreover, it was also shown that the ice index is strongly correlated to the icing measurements made on wind turbine nacelle. In this paper, the yearly and monthly ice indexes, from September 2007 to December 2021, are shared. These indexes are based on the meteorological data from Valcartier weather station near Quebec City. This definition of an ice index directly responds to a critical need of the wind industry in cold climate, a common reference for icing frequency. Ice indexes could be publicly shared each month in cold climate areas to guide wind farm owners and operators in their decisions and analysis of performances. Such an index could also be used to asses the long-term variation of the ice index and the effect of climate change on icing frequency and impacts on the wind energy production in cold climate. • Definition of an icing frequency index based on publicly available could base height measurements. • Relationship between the ice index and icing losses in six wind farms. • Relationship between the ice index and the meteorological icing frequency measured on a wind turbine nacelle. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has heightened and made visible the embodied consequences of water, sanitation and hygiene (WASH) inequalities and the relationalities of health in place. This paper combines insights from relational geographies and embodied epidemiology to explore psychosocial concerns among Ghanaian migrants in Canada due to their multiple and simultaneous roles in the WASH space in Ghana, particularly during the COVID-19 pandemic. We explored this using narratives from in-depth interviews with 27 participants (16 women and 11 men) residing in Ontario, Canada. The case of Ghana offers insight into how social ties with home communities could provide a safety net during emergencies but could also affect the psychosocial wellbeing of migrants. Results revealed four interrelated psychosocial stressors, including social stressors, financial stressors, stressors related to perceived inequality and stressors related to the fear of infection during WASH access. The paper underscores the urgent need for research to move beyond local health implications of WASH inequalities and begin to prioritize how these social inequalities are embodied at distant locations. • The COVID-19 pandemic has highlighted the global health interconnectedness • Embodied subjectivities of WASH insecurity span across space and time • Migrants embody multidimensional WASH psychosocial stressors because of their social connections with home • Policy responses must address WASH subjectivities beyond the local [ABSTRACT FROM AUTHOR]

Recently, there have been growing concerns about the negative impacts of rising automobile use and road congestion on personal mobility, safety, air quality and climate change. To address these issues, special attention has been given to improving and expanding transit services in order to attract new riders and retain existing ones. Despite these efforts, transit ridership across Canada has been levelling-off and, in many cases, declining over the past few years. The goal of this study is to provide an empirical investigation of variables that affect variations in transit ridership among transit systems and over time. To achieve this goal, the study used a comprehensive longitudinal dataset of different factors collected from 103 transit agencies in Canada between 2002 and 2016. Two-stage least square (2SLS) models were developed for the purpose of the study. The results suggest that transit ridership (in terms of number of linked trips) in Canada is associated with several factors that differ according to transit agency size. These factors include built environment and socioeconomic aspects in addition to transit supply attributes. Additionally, ride-sharing systems (i.e., Uber service) have a mixed impact on ridership that varies according to the size of transit system. The presence of Uber within large transit agencies service areas is shown to have a small positive impact on ridership, while it is negatively associated with ridership for small transit agencies. This paper provides policy makers and planners with useful policy-relevant information related to the association between different factors and transit ridership. • The paper investigates the variables affecting ridership in Canada. • It uses a longitudinal dataset of various factors collected from 103 transit agencies. • Two-stage least square (2SLS) models were developed for the study. • Ridership is related to several factors that differ according to transit agency size. • Ride-sharing systems (i.e., Uber service) have a mixed impact on ridership. [ABSTRACT FROM AUTHOR]

• A call for a new research agenda to more explicitly include justice in transitions. • A review of literature examining how different disciplines have addressed the concept of justice. • An analytical framework and set of recommendations for integrating justice in transition research and practice. This paper argues that transitions research more broadly needs to take more account of justice in its analysis. This paper draws primarily from environmental and energy justice literature to engage with the concept of justice in transitions research, as it seeks justice for people, communities, and the non-human environment from negative environmental impacts. This is achieved through different forms of justice: distributive, procedural, and recognition. Our paper concludes with reflections upon the application of a justice approach to sustainability transitions research and offer insights into a potentially new research agenda. [ABSTRACT FROM AUTHOR]

In the colonial state of Canada, rurality is quintessentially necropolitical, a technology of colonial nation building that has forcibly displaced hundreds of sovereign Indigenous nations to accommodate white occupation. Throughout vast rural social geographies that remain conservative political strongholds, Indigenous peoples living in their ancestral homelands are positioned as contaminants of dignified white rural life and obstacles to food and resource exploitation, agri-industrial expansion, and growing multicultural diversity. Under colonial rural logics, Indigenous bodies are disposable and ungrievable, in deeply gendered and sexualized ways. In this paper, I draw on Achille Mbembé's concept of necropolitics to examine rural genocide as a form of colonial and neocolonial settler placemaking, with a specific focus on gender-based violence as one form of enacted necropolitics. I examine how stark racial rural inequities precipitate racialized-gendered death by enabling incessant white entitlement to Indigenous lands and bodies, allowing what the United Nations has called the gender-based genocide of Indigenous girls, women, and 2Spirit people to occur with impunity. I then consider the imperial logics of homesteading as a new/old settler tactic emerging under new anthropogenic and pandemic-related pressures, where urbanites seeking rural escapes fuel the colonial appropriation and commodification of sacred Indigenous land-based knowledges while eroding already precarious Indigenous territories. I conclude by exploring how reimplicating increasingly mobile and urbanized Indigenous young people in kinscapes—mobile, temporal circles of relations with their kin and homelands—might fortify vital Indigenous land and body sovereignties and unsettle colonial necropolitical rural ontologies. • Necropolitics in rural Canada are a form of colonial and neocolonial settler placemaking. • Racial rural inequities enable gender-based genocide of Indigenous women and 2Spirit people. • White homesteading and nature-based gentrification fuel commodification of Indigenous kinscapes. • Kinscapes enacted among Indigenous kin and homelands support Indigenous youth resurgence. • Kinscapes fortify vital Indigenous land and body sovereignties and Indigenous youth worldmaking.. [ABSTRACT FROM AUTHOR]

The rapid development of new digital technologies for natural resource management has created a need to design and update governance regimes for effective and transparent generation, sharing and use of digital natural resource data. In this paper, we contribute to this novel area of investigation from the perspective of institutional change. We develop a conceptual framework to analyze how emerging natural resource data governance is shaped by related natural resource governance; complex, multilevel systems of actors, institutions and their interplay. We apply this framework to study forest data governance and its roots in forest governance in Finland and Canada. In Finland, an emphasis on open forest data and the associated legal reform represents the instutionalization of a mixed open data-bioeconomy discourse, pushed by higher-level institutional requirements towards greater openness and shaped by changing actor dynamics in relation to diverse forest values. In Canada, a strong institutional lock-in around public-private partnerships in forest management has engendered an approach that is based on voluntary data sharing agreements and fragmented data management, conforming with the entrenched interests of autonomous sub-national actors and thus extending the path-dependence of forest governance to forest data governance. We conclude by proposing how the framework could be further developed and tested to help explain which factors condition the formation of natural resource data institutions and subsequently the (re-)distribution of benefits they govern. Transparent and efficient data approaches can be enabled only if the analysis of data institutions is given equal attention to the technological development of data solutions. • We studied how emerging forest data governance is shaped by dynamics in forest governance. • Forest data institutions may support path-dependency or renewal of forest governance, depending on context. • Innovative data institutions may enable a dynamic governance continuum from closed to open natural resource data. • Future studies should focus on feedback effects of data governance on natural resource governance. [ABSTRACT FROM AUTHOR]

The residential energy demand timing and magnitude are highly impacted by occupants' behaviors and activities. However, acquiring a reliable data source for these activities is a vital challenge, especially on an urban scale. In this context, this paper presents a stochastic bottom-up model for generating electrical loads for residential buildings in Canada. The proposed model is developed to investigate the impact of different household characteristics, appliance stock, and energy behaviors on the timing and magnitude of non-HVAC energy loads at individual or multiple houses. The proposed tool includes four main modules for generating stochastic profiles of occupancy, lighting demand, appliance load, and domestic hot water demand (DWH). The model is calibrated using the Canadian time use survey (TUS), energy use statistics, and appliance ownership surveys. The model is scalable and can be extended to serve various applications by adding new modules and data sources in the future. This paper presents the model development methodology, generated high-resolution load profiles, and validation in comparison with actual measurements. Finally, the model is used for studying the impact of household characteristics on total energy use. Future work will include incorporating this model into a comprehensive agent-based model for designing and testing effective demand response programs. • A stochastic load profile generator is developed for residential buildings. • Canadian TUS data is used to identify common patterns of activity schedules. • Stochastic profiles are developed for occupancy, lighting, appliances, and DWH. • The tool is demonstrated and validated using a case study. • The impact of household characteristics on total energy use is studied. [ABSTRACT FROM AUTHOR]

The Kraft process is an intensive user of capital, energy, water, and chemicals, and is particularly vulnerable in the present precarious economic situation. Therefore, Canadian Kraft pulp mills offer good potential for improvement, especially if the equipment and unit operations are diagnosed in details by means of specific key performance indicators (KPI). The characterization and performance analysis of equipment is a prerequisite to optimization. A thorough evaluation of the equipment performance must be done to assess the actual vs. the expected performance before proceeding to any kind of energy improvement project. A systematic methodology for equipment performance evaluation through key performance indicators (KPIs) is presented in Part I. New key performance indicators (KPIs) based on dimensional analysis as well as other conventional key performance indicators are used to efficiently analyze and diagnose the causes of inefficiencies of the equipment, and propose adequate remedial actions. The methodology has been applied to an Eastern Canadian Kraft mill and several improvement projects leading to 30% of energy savings are proposed, entailing a low investment cost and a payback of 1.1 a. [ABSTRACT FROM AUTHOR]

COVID-19 had an unprecedented impact on transit demand and usage. Stiff and vigilant hygiene safety requirements changed travellers' mode choice preferences during the COVID-19 pandemic. Specifically, transit modal share is radically impacted. Therefore, quantitative measurements on transit demand impact are urgently needed to facilitate evidence-based policy responses to COVID-19. Thus, we collected 1000 random samples through a web-based survey in the Greater Toronto Area (GTA), Canada, on traveler's modal choices behavior during the COIVD-19 pandemic. The paper presents an analysis with this firsthand dataset to understand transit users' behavioral adaptation resulting from the spreading of COVID-19 in 2020. We found that the transit frequency dropped by 21% to 71% for various socioeconomic groups in the GTA during the pandemic. The transit modal share dipped for all trip purposes. For private vehicle owners, around 70% of transit users switched to their private vehicles. More than 60% of those without cars switched to active transport for all travel purposes. Also, ride-hailing services are the second most popular substitution of transit for them. More than 80% of the respondents agreed with all transit safety policies, such as mandatory face-covering listed in the survey. Moreover, a similar proportion of the respondents agreed to return to public transit in the future. Multinomial, nested, and mixed logit models are estimated to capture relationships between modal choices and various factors. We found that the daily number of new COVID-19 cases impacts the choice of transit negatively. However, vaccine availability and mandatory face-covering onboard positively affect travellers' choices of riding transit during the pandemic. [ABSTRACT FROM AUTHOR]

In order to improve individual research achievements (IRA), this study investigates which affiliated countries and authors earn the most cited IRAs and whether those types of articles are associated with the number of cited papers on schizophrenia from a leading journal in the field. The Kano model was used for displaying the IRAs. Clusters of medical subject headings (MeSH) were applied to explore the core concepts of a given journal. This study aimed to apply social network analysis (SNA) and an authorship-weighted scheme (AWS) to inspect the association between MeSH terms and IRA. About 2,008 abstracts published between 2012 and 2016 in the journal Schizophrenia Research were downloaded from Pubmed Central using the keyword (Schizophr Res)[Journal] on September 20, 2018. The MeSH terms were clustered by using SNA to separate the core concepts and compare the differences in bibliometric indices (i.e., h, Ag, x and author impact factor or AIF). Visual dashboards were shown on Google Maps. Results indicate that (1) the US, the UK, and Canada earn the highest x-index; (2) the top one author from the US has the highest x-index (= 5.73 with x-core at cited = 16.44 and citable = 2); (3) the article type of schizophrenic psychology shows distinctly higher frequencies than others; and (4) article types are associated with the number of cited papers. Four approaches of the Kano model, SNA, MeSH terms, and AWS can be accommodated to display IRAs, classify article types, and quantify coauthor contributions in the article byline, respectively, and applied to other scientific disciplines in the future, not just in this specific journal. [ABSTRACT FROM AUTHOR]

• The uncertainty of wind power has a significant impact on power load forecasting. • LASSO-QR is presented for power load probability density forecasting considering the wind power. • LASSO and GCV methods are adopted to extract the important explanatory variables. • Two cases of Canada in summer and winter display the performance of proposed method. Short-term load forecasting (STLF) is the foundation of safe and stable operation for power systems. In recent years, large amount of intermittent wind power has integrated into the power system, which significantly increases the uncertainties of power load forecasting. Along with the gradual increase for the proportion of wind power in the power grid, the frequency stability problem attributed to wind power connection attracts increasing attention from various aspects. Fully considering the impact of the wind power factor, a method of probability density forecasting based on Least Absolute Shrinkage and Selection Operator-Quantile Regression (LASSO-QR) is proposed in this paper. Firstly, the significant explanatory variables are screened out from the historical power load and wind power factors based on LASSO algorithm via generalized cross validation (GCV), and the LASSO-QR model is established. Secondly, in combination with kernel density estimation (KDE) method, short-term power load probability density forecasting based on LASSO-QR is implemented utilizing Epanechnikov kernel function. Thirdly, the paper appraises the exactitude of the prediction interval (PI) in accordance with two criteria, prediction interval coverage probability (PICP) and prediction interval normalized average width (PINAW). Two real datasets from Ontario of Canada in summer and winter, are exploited to validate the LASSO-QR method. Fully considering the impact of wind power factor on the power load, experiment results demonstrate that the LASSO-QR method can construct more accurate PI and obtain more precise probability density forecasting results than quantile regression (QR). Contrastive analysis with the existing state-of-the-art methods further verifies superiority of the method proposed, which reduces the nondeterminacy of the prediction process to avoid large prediction errors and economic losses. [ABSTRACT FROM AUTHOR]

Accurate wind speed forecasting ensures the controllability for the wind power system. In this paper, a structure with density-weighted active learning (DWAL)-based model selection strategy from the perspective of meteorological factors is proposed to improve the accuracy and stability for wind speed deterministic and probabilistic forecasting. To improve training efficiency and accelerate the sample selection process, DWAL is employed. The multi-objective flower pollination algorithm is used to combine best models selected from model space with optimal weights for higher accuracy and stability. Except deterministic forecasts, as large-scale wind power generation integrated into power grid, the wind direction should also be forecasted and the estimation of the wind speed and direction uncertainty is vital, offering various aspects of forecasts for risk management. Thus, both deterministic and probabilistic forecasting for the wind speed vector are included in this paper. Eight datasets from Ontario Province, Canada, are utilized to evaluate forecasting performance of the model selection and the proposed structure. Results demonstrated: (a) the proposed structure is suitable for wind speed vector forecasting; (b) the proposed structure obtains more precise and stable forecasting performance; (c) the proposed structure improves the accuracy of deterministic forecasting and provides probabilistic information for wind speed vector forecasting. • Propose a novel forecasting structure based on meteorological analysis. • The model selection is employed. • The multi-objective flower pollination algorithm is used. • Density-weighted active learning algorithm is applied. • Both deterministic forecasting and probabilistic forecasting are applied. [ABSTRACT FROM AUTHOR]

This paper describes a systematic assessment of artificial lift (AL) methods for a heavy oil development in Kuwait. The main recovery strategies that were being considered for the development consisted of different sequencing of primary production, cyclic steam stimulation and steam flooding, with both vertical and horizontal wells. Initially, Kuwait Oil Company drilled five vertical wells in their heavy oil fields, as a precursor to the full field development planned in the coming years. These five wells represented the first major activity in the formation since the 1980s, when two cyclic steam stimulation pilot tests were conducted. The characteristics of the development and of the associated planned recovery strategies presented several AL challenges that needed to be assessed. This work consisted of an assessment of the strengths and weaknesses of various AL systems and a ranking of these systems according to well geometry, oil viscosity, targeted flow rate and the recovery method. The assessment and ranking were mainly based on vendor quoted capabilities, focused wellbore modelling and lessons learned from other heavy oil field cases around the world. While significant experience with rod pumps in cyclic steam stimulation exists in Canada, the lessons learned from that experience needed to be evaluated due to the differences with the Kuwait heavy oil development, such as the requirement to "easily" transition from primary to thermal production and the possible use of metallic stator progressing cavity pumps. This paper provides guidance to other developments around the world in regards to heavy oil AL selection and to how best to apply lessons learned from existing heavy oil developments. • Rod pumps are the most suitable for the given scenarios, but rod hang-up is an issue. • ESPs are least likely suitable, due to head degradation and difficulty of steam injection. • Rod torque and large temperature variation are main challenges for elastomeric PCP. • Low volumetric efficiency and wear/plugging are main challenges for M-PCPs. • ES-PCPs have no benefit for the given scenarios over conventional PCPs. [ABSTRACT FROM AUTHOR]

The CanMars Mars sample return (MSR) analogue mission was conducted as a field and operational test for the Mars 2020 sample cache rover mission and was the most realistic known MSR rover analogue mission to-date. A rover — similar in scale to that of rover planned for NASA's Mars 2020 mission — was deployed to a scientifically relevant Mars-analogue sedimentary field site with remote mission operations conducted at the University of Western Ontario, Canada; the mission aim was to inform on best practices and optimal approaches for sample acquisition modeled on the Mars 2020 rover mission. The daily operational procedures of the CanMars Science Team were modeled on those of current missions (i.e., Mars Science Laboratory tactical operations), serving as a study of known operational workflows and as a testbed for new approaches. This paper reports on the operational results of CanMars with best-practice recommendations. CanMars was designed as a Mars 2020 mock mission and thus carried similar science objectives; these included (1) advancing the understanding of the habitability potential of a subaqueous sedimentary environment through identifying, characterizing, and caching drilled samples containing high organic carbon (as a proxy for preserved ancient biosignatures) and (2) advancing the understanding of the history of water at the site. The in situ science investigations needed to address these science objectives were guided by the Mars Exploration Program Analysis Group goals. Effective and efficient Science Team operational procedures were developed – and many lessons were documented – through daily tactical planning and science investigations employed to meet the sample acquisition goals. In addition to the documentation of the CanMars operational procedures, this paper provides a brief summary of the science results from CanMars with a focus on recommendations for future analogue missions and planetary sample return flight missions, providing specific value to operational procedures for the Mars 2020 rover mission. • Rover mission operations management, procedures, and workflows were vetted. • We document the complex Science Team interactions relevant to operational workflows. • An intentional operational structure must be employed for optimal use of very limited mission time. [ABSTRACT FROM AUTHOR]

• A two-stage stochastic model for reverse logistics network design is developed. • The collected volume and the recycling rates at the collection centers are uncertain. • Our model considers joint dynamic supply sources and source separation centers. • A case study targeting waste management in the (*CRD: Construction, Renovation and Demolition) industry is presented. • The benefits of source separation for waste management efficiency is highlighted. This paper presents a two-stage stochastic programming model for reverse logistics network design (RLND) under uncertainty with dynamic supply sources' locations. The primary objective of the optimization model is to maximize the expected profit generated by selling recycled materials to the secondary markets and to make the landfilling option less attractive. In comparison with the state-of-the-art stochastic optimization models in this area, which mainly focus on the expected optimal value, this paper emphasizes the role of source separation of recyclable materials to increase the productivity level at the collection centers (CC). Indeed, the quantity of materials collected from the supply sources and the recycling rates at the CC are the primary sources of uncertainty considered in this study. A Sample Average Approximation (SAA) procedure is developed to solve the stochastic model and perform sensitivity analyses on the number of supply sources, the sample size and the level of uncertainty targeting the random parameters. Managerial implications are discussed through a case study from the demolition industry in the province of Quebec, Canada. Although the use of source separation centers (SSC) improves the network performance in both rural and urban zones, the additional flexibility provided by these platforms reaches its best efficiency in the case of high-density urban areas. Finally, the results suggest significant RLND adjustments that lead to an increase in the average profit by 17.6% and recycle around 29% of additional building materials waste from demolition. [ABSTRACT FROM AUTHOR]

Sustainable innovations are of growing interest to both managers and researchers. Managers want to understand how to develop these innovations. However, researchers have extensively focused on this question by analysing the determinants of sustainable innovation development. The purpose of the study is to address this issue by adopting a process view, which is an underexplored perspective in the literature of sustainable innovation. More precisely, the paper seeks to highlight the temporal and relational dimensions in a sustainable innovation development process by focusing on the following questions: How does sustainable innovation develop through interactions and transformations made by a manager and stakeholders? What are the mechanisms used by the manager to facilitate these interactions and transformations? The actor-network theory offers theoretical (socio-technical analysis) and methodological (socio-technical graph) tools to examine such questions. They are used to understand and track the relative successful development of a hybrid bike by a small and medium-sized enterprise in Canada. The findings reveal managerial mechanisms (playing the role of sustainability translator, defining multivocal obligatory passage points, casting of allies, mobilizing actors-certifiers and -influencers) related to four translation moments (problematization, interessement, enrolment and mobilization) in the sustainable innovation development that led us to consider it as a synchronous process (co-construction and parallel association). The main contributions of the study are: 1) the use of socio-technical analysis to provide an in-depth level of understanding of a sustainable innovation development within an organization; 2) the complete application of the socio-technical graph method to track a manager and stakeholders' interactions and transformations; 3) the identification of managerial practices that contribute to the success of the sustainable innovation development. The paper suggests further research on the dynamic process of different types of sustainable innovation within various organizational contexts. • For the sustainable innovation to become indispensable, the manager should play the role of the sustainability translator. • The manager defines sustainability passage points and establishes appropriation and exchanges relationships with actors. • The manager makes a casting of allies with five roles: producers, evaluators, investors, regulators and promoters. • The manager mobilizes actors-certifiers and actors-influencers of the sustainable innovation. [ABSTRACT FROM AUTHOR]

In the rapidly expanding market of wind energy, sites in cold climates are becoming popular because of their high wind potential. However, several challenges are associated with energy production in those sites. Such challenges not only include low temperature and high winds, but also multiple icing events. To cope with the negative impacts of icing, wind turbine manufacturers nowadays include ice protection systems (IPS) to their products. It has been observed that the performances of those systems can be greatly influenced by the ambient conditions. In many occasions, under harsh conditions, turbines IPS may not able to prevent ice formation on the blades nor to remove ice that is already formed. Multiple numerical analysis were made on the IPS performance but none of them relies on actual field data. In this paper, the relationship between the turbine stoppage time, wind speed and ambient temperature was studied on a wind farm of over 80 turbines in eastern Canada. The test site is subject to harsh weather and long recovery time and can therefore provide interesting data on icing events. A simplified 1-D heat transfer model of the blades during recovery time has been developed and then compared to the field data. The model was used to generate IPS performance envelopes to delimit, on a temperature vs. wind speed chart, the conditions where the IPS are expected to operate successfully. This analysis showed the importance of having an IPS adapted to the conditions encountered in a given site. To help wind turbine manufacturers design their IPS, a set of distributions of the most relevant meteorological parameters is presented. This set of data has been retrieved using a custom made meteorological conditions monitoring station (MCMS) installed on one of the wind turbines' nacelle. Wind turbine designers, developers and operators can greatly benefit from the data presented in this paper. • Wind speed/temperature distributions of turbine stoppage time retrieved on a wind farm of over 80 turbines during 2 winters. • Thermal model investigating wind turbine hot air IPS efficiency using parameters commonly available. • Statistical distributions of several meteorological measurements, including icing severity and event duration. [ABSTRACT FROM AUTHOR]

• Higher fluoride in drinking water is slow poison with irrecoverable consequences. • The paper discusses the natural factors behind occurrences of high fluorosis globally. • The Global Fluoride Belts are geographically connected and geologically similar with natural factors. • In situ process of fluoride removal techniques, their removal capacity, advantages and disadvantages are discussed. Fluorosis is an endemic disease that is now a global challenge. In this review paper we have classified and described the global fluoride belts (GFB) geologically and geographically connecting different countries. A proper map of the global fluoride belts showing the inland connections between each belt is presented. Several natural factors like the rock type, soil, tectonics, hydrogeology and climate of a terrain which are majorly responsible for engrafting higher fluoride in drinking water are described. A detailed uniform description of each belts with respect to geology, geochemistry are discussed. The minor factors like altitude, phosphate mining etc. on fluorosis are also discussed including countries like Canada, Norway etc. which are potentially affected by fluorosis. The correlation of different ions like Cl−, Ca2+, etc; pH, electrical conductivity, TDS etc are compared and reviewed in detailed with respect to different GFB. The genesis and sources of fluoride contamination are also supported by different isotopic evidences. In this article, the in situ methods involving natural minerals and materials which can adsorb fluoride effectively and are being used globally are exhaustively assessed. The methods which are highly sustainable with minimum waste generation and cost effective are also evaluated. [ABSTRACT FROM AUTHOR]