Malgré les relations relativement tranquilles entre le Québec et le reste du Canada, l’auteur estime que leurs différends habituels ne sont présentement qu’en veilleuse. Pour des raisons autres ...qu’économiques, il espère la métamorphose en réconciliation de cette trêve fragile, vulnérable aux chocs imprévus. Selon lui, il faudra accepter de parcourir une route ardue pour atteindre une paix durable. Il écrit : « Notre histoire depuis 1960, à tout le moins telle qu’il m’a été donné de la vivre et que mes observations me la font interpréter, m’a obligé, souvent malgré moi et en dépit des pressions de proches, de prendre conscience du mépris immérité et des injustices graves envers les Canadiens français et les Québécois, le mépris servant à gommer les injustices : l’un et les autres me blessent et m’indignent. Très tôt, je me suis mis à en craindre les conséquences et à en souhaiter la rectification. »
Entrepreneurial ecosystems have emerged as a popular concept to explain the
persistence of high–growth entrepreneurship within regions. However, as a
theoretical concept ecosystems remain ...underdeveloped, making it difficult to
understand their structure and influence on the entrepreneurship process. The
article argues that ecosystems are composed of 10 cultural, social, and material
attributes that provide benefits and resources to entrepreneurs and that the
relationships between these attributes reproduce the ecosystem. This model is
illustrated with case studies of Waterloo, Ontario, and Calgary, Alberta,
Canada. The cases demonstrate the variety of different configurations that
ecosystems can take.
Child Health and Young Adult Outcomes Currie, Janet; Stabile, Mark; Manivong, Phongsack ...
The Journal of human resources,
2010, Letnik:
45, Številka:
3
Journal Article
Examines the patterns of continuity and change in Canadian agricultural policy making in important areas like farm income support programs, prairie grain marketing, supply management, animal and food ...product safety, and the regulation of genetically modified crops and foods.
This review gives a worldwide overview on Power-to-Gas projects producing hydrogen or renewable substitute natural gas focusing projects in central Europe. It deepens and completes the content of ...previous reviews by including hitherto unreviewed projects and by combining project names with details such as plant location. It is based on data from 153 completed, recent and planned projects since 1988 which were evaluated with regards to plant allocation, installed power development, plant size, shares and amounts of hydrogen or substitute natural gas producing examinations and product utilization phases. Cost development for electrolysis and carbon dioxide methanation was analyzed and a projection until 2030 is given with an outlook to 2050.
The results show substantial cost reductions for electrolysis as well as for methanation during the recent years and a further price decline to less than 500 euro per kilowatt electric power input for both technologies until 2050 is estimated if cost projection follows the current trend. Most of the projects examined are located in Germany, Denmark, the United States of America and Canada. Following an exponential global trend to increase installed power, today's Power-to-Gas applications are operated at about 39 megawatt. Hydrogen and substitute natural gas were investigated on equal terms concerning the number of projects.
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•Electrolysis and methanation costs are estimated to fall by up to 75% under 500 €/kWel until 2050.•Most projects are located in Germany, Denmark, the United States and Canada.•95 Power-to-Gas projects with a combined load of 38.6 MWel are active in early 2019.•Exponential global increase in installed PtG-capacity is expected between 1993 and 2050.•The years 2012–2015 mark a breakthrough in average plant size and installed capacity.
Artificial impervious areas are predominant indicators of human settlements. Timely, accurate, and frequent information on artificial impervious areas is critical to understanding the process of ...urbanization and land use/cover change, as well as of their impacts on the environment and biodiversity. Despite their importance, there still lack annual maps of high-resolution Global Artificial Impervious Areas (GAIA) with longer than 30-year records, due to the high demand of high performance computation and the lack of effective mapping algorithms. In this paper, we mapped annual GAIA from 1985 to 2018 using the full archive of 30-m resolution Landsat images on the Google Earth Engine platform. With ancillary datasets, including the nighttime light data and the Sentinel-1 Synthetic Aperture Radar data, we improved the performance of our previously developed algorithm in arid areas. We evaluated the GAIA data for 1985, 1990, 1995, 2000, 2005, 2010, and 2015, and the mean overall accuracy is higher than 90%. A cross-product comparison indicates the GAIA data are the only dataset spanning over 30 years. The temporal trend in GAIA agrees well with other datasets at the local, regional, and global scales. Our results indicate that the GAIA reached 797,076 km2 in 2018, which is 1.5 times more than that in 1990. China and the United States (US) rank among the top two in artificial impervious area, accounting for approximately 50% of the world's total in 2018. The artificial impervious area of China surpassed that of the US in 2015. By 2018, the remaining eight among the top ten countries are India, Russia, Brazil, France, Italy, Germany, Japan, and Canada. The GAIA dataset can be freely downloaded from http://data.ess.tsinghua.edu.cn.
•We improved the performance of “Exclusion/Inclusion” approach in arid regions.•We mapped global artificial impervious areas (GAIA) with Google Earth Engine.•The mean overall accuracy over multiple years is higher than 90%.•GAIA reached 797,076 km2 by 2018, more than 2.5 times that of 1990.•The top five countries are China, US, India, Russia, and Brazil.
The concept of sustainable development has gained worldwide attention in recent years which had enhanced its implementation. However, few studies have attempted to map the global research of ...sustainability. This study utilizes scientometric review of global trend and structure of sustainability research in 1991–2016 using techniques such as co-author, co-word, co-citation, clusters, and geospatial analyses. A total of 2094 bibliographic records from the Web of Science database were analyzed to generate the study's research power networks and geospatial map. The findings reveal an evolution of the research field from the definition of its concepts in the Brundtland Commission report to the recent development of models and sustainability indicators. The most significant contributions in sustainability research have originated primarily from the United States, China, United Kingdom and Canada. Also, existing studies in sustainability research focus mainly on subject categories of environmental sciences, green & sustainable science technology, civil engineering, and construction & building technology. Emerging trends in sustainability research were sustainable urban development, sustainability indicators, water management, environmental assessment, public policy, etc.; while the study generated 21 co-citation clusters. This study provides its readers with an extensive understanding of the salient research themes, trends and pattern of sustainability research worldwide.
•Sustainability research is evolving and expanding to several frontiers.•This research reviewed 2096 bibliographic records from the Web of Science database.•Salient and emerging sustainability research trends and clusters were identified.•The findings are applicable to key stakeholders such as the government and organizations, researchers, among others.
•A novel two-stage forecasting architecture is proposed for wind power forecasting.•Considering error factor in wind power forecasting to improve model’s performance.•A novel ensemble method is ...proposed in the proposed forecasting model.•The developed model can also perform better for wind power interval prediction.
With the fast growth of wind power penetration into the electric grid, wind power forecasting plays an increasingly significant role in the secure and economic operation of power systems. Although there have been numerous studies concerning wind power forecasting, most of them have failed to make the best of the information implied in the error value, focused only on simple error correction, adopted a simple ensemble method to aggregate the predictions of each component, and considered improving only forecasting accuracy. Recognizing these issues, a novel two-stage forecasting model based on the error factor, a nonlinear ensemble method and the multi-objective grey wolf optimizer algorithm is proposed for wind power forecasting. More specially, in stage I, the extreme learning machine optimized by the multi-objective grey wolf optimizer is used to forecast the components decomposed by variational mode decomposition, and an error prediction model based on the extreme learning machine optimized by the multi-objective grey wolf optimizer is utilized to predict forecast errors; also, a novel nonlinear ensemble method based on the extreme learning machine optimized by the multi-objective grey wolf optimizer is utilized to integrate all the components and forecast error values in stage II. Three real-world wind power datasets collected from Canada and Spain are introduced to demonstrate the forecasting performance of the developed model. The forecasting results reveal that the proposed model is superior to all the other considered models in terms of both accuracy and stability and thus can be a useful tool for wind power forecasting.
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