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• CSI-SVQR is proposed for wind power probability density forecasting. • Cubic spline interpolation is used to reduce the noisy of wind power data. • The optimal CWC criterion is used to acquire the best PIs. • The SSE of mode criterion is used to acquire the best point forecasting results. • Wilcoxon test verifies that CSI improves the accuracy of forecasting methods. Accurate forecasting of wind power plays an important role in an effective and reliable power system. However, the fact of non-schedulability and fluctuation of wind power significantly increases the uncertainty of power systems. The output power of a wind farm is usually mixed with uncertainties, which reduce the effectiveness and accuracy of wind power forecasting. In order to handle the uncertainty of wind power, this paper first proposes to conduct outlier detection and reconstruct data before the prediction. Then, a wind power probability density forecasting method is proposed, based on cubic spline interpolation and support vector quantile regression (CSI-SVQR), which can better estimate the whole wind power probability density curve. However, the probability density prediction method can not acquire the optimal point prediction and interval prediction results at the same time. In order to analyze the uncertainty of wind power, the present study considers the prediction results from the perspective of probabilistic point prediction and interval prediction respectively. Three sets of real-world wind power data from Canada and China are used to validate the CSI-SVQR method. The results show that the proposed method not only efficiently eliminates the outliers of wind power but also provides the probability density function, offering a complete description of wind power generation fluctuation. Furthermore, more accurate point prediction and prediction interval (PI) can be obtained compared to existing methods. Wilcoxon signed rank test is used to verify that CSI can improve the performance of forecasting methods. [ABSTRACT FROM AUTHOR]

• Bike-sharing networks have a small-world property. • The connectivity of bike stations is highly related to their accessibility, while not to their intermediateness. • The spatial distributions of connectivity and accessibility of bike stations have a strong spatial autocorrelation. • Bike-sharing networks have a polycentric structure. To solve the last-mile problem and promote low carbon transportation, hundreds of cities around the world have launched bike-sharing services. A growing number of studies have been mining bike-sharing data from different cities to understand bike-sharing systems. However, there is still a lack of comprehensive understanding of a bike-sharing network structure. Thus, this paper attempts to use complex network theory and spatial autocorrelation analysis approaches to examine structural properties of bike-sharing systems, quantify the importance of bike stations in the network, and evaluate their spatial clustering patterns. This research analyzes bike-sharing trip data from five different sized bike-sharing systems in the United States, Canada, and China. The results of network analysis reveal that the bike-sharing networks have a small-world property with a small average path length and a high clustering coefficient. Compared with medium-scale networks, the connectivity and accessibility of bike stations are relatively low in the large-scale bike-sharing network. Also, the connectivity of bike stations is positively related to their accessibility while they are not highly correlated with their intermediateness. The spatial clustering analysis results indicate that the spatial distributions of connectivity and accessibility of bike stations have a strong global spatial autocorrelation. Also, the stations with high connectivity and accessibility are concentrated in the urban centers, and the stations with low connectivity and accessibility are clustered in the periphery of the urban areas. However, their intermediateness does not show a strong global spatial clustering pattern, which implies that bike-sharing networks consist of multiple sub-groups. The findings provide new insights for transport planners and managers to understand bike-sharing systems and to improve their service quality. [ABSTRACT FROM AUTHOR]

• Develops a structure-agency analytical framework to examine the trajectories of emerging technologies in different national contexts. • Compares AI development and diffusion between a developed country and an emerging country based on 125 in-depth interviews. • Argues that the levels of institutionalisation exert different structural forces and leave different spaces for institutional work. • Yields practical implications for developing countries to address the trade-off between the opportunities and risks brought by emerging technologies. Development studies have paid less attention to the role of technological innovations and we are yet to understand how, and more importantly why, technological trajectories differ across countries. This gap becomes sharper as emerging technologies such as artificial intelligence (AI) are becoming increasingly important in addressing many world development challenges. Drawing on insights from institutional work literature, this paper develops a structure-agency interplay framework to unravel the various trajectories of emerging technologies at the national level and examines the development and diffusion of AI in Canada and China. The findings show that Canada's stable institutional environment, reinforced through institutional work by various actors, generated a national AI trajectory driven by technology development through a strong focus on scientific research and ethics, with slower organic commercialisation of AI. In China, a dynamic and loose institutional structure characterised by lax regulations, low entry barriers, and high openness to novelties has resulted in a market-driven AI trajectory focused on technology commercialisation, with domestic digital giants and the government as dominant players. National-level dynamics in formal institutions, informal institutions, technologies, and actor strategies determine heterogeneous approaches to technology development and diffusion, giving rise to varieties of technological trajectories. The levels of institutionalisation exert different forces and create different spaces for institutional work across different geographical contexts. [ABSTRACT FROM AUTHOR]

• There was an rapidly increase in plant critical dilution curve (PCDC) study in recent years. • PCDC has been applied to more than 30 species by the scientists from 40 countries. • INRA developed PCDC theory, institutions from China and Canada are emerging groups. • Crop modeling and remote sensing in PCDC studies significantly increased recently. The concept of plant critical dilution curve (PCDC) has been studied on several crop species for about four decades, which has been widely applied in studies of crop nutrition evaluation, growth predictions, and fertilization management. This bibliometric analysis comprehensively explores the evolution trends in PCDC research based on literature data retrieved from the Web of Science from 1985 to 2019. The dynamics of the basic characteristics such as outputs, citations, institutions, authors, keywords and research topics of the published papers were studied. The results showed that the outputs and citations remained very low in the early years, then increased gradually, and increased quickly in recent years. INRA from France developed the theory, while research institutions from China and Canada as emerging groups applied the theory in different crops for crop N, growth, and quality indices as well as integrated it with non-destructive tools such as chlorophyll meter and remote sensing technologies in recent years. The frequency of the keywords "nitrogen nutrition index", "use efficiency", "management", "leaf area index" and "vegetation index" in the PCDC study increased over years. The PCDCs along with a number of crops, such as wheat, maize, rice, forage grasses, potato, canola, and tomato, have been widely studied in different countries. Research on PCDC has mainly focused on the theory and development of PCDC, including P, K, S, and their interaction, crop modeling, remote sensing and non-destructive techniques, nutrition diagnosis and fertilization management. Analysis of the published papers revealed that crop modeling and remote sensing are emerging fields. The research trends proposed were: generic PCDCs for crop species, the interaction of N-P-K-S for balanced fertilization, and application of PCDC in crop modeling and remote sensing. [ABSTRACT FROM AUTHOR]

Based on the Web of Science Core Collection databases from 1990 to 2018, a scientometric analysis of 1,284 academic works related to forest carbon sequestration is carried out to characterize the intellectual landscape by identifying and revealing the basic characteristics, research power, intellectual base and research hotspots in this field. The results of this work show that: ① the number of publications in forest carbon sequestration research has increased rapidly and the research in this field is in its "growth stage"; Forest Ecology and Management is the most productive journal and Forestry is the most popular subject category; ② the most productive authors and institutions in this subject area are in the USA, China and Canada, with the Chinese Academy of Sciences being the key institution performing such research; ③ in the sample, 9 papers have played a key role in the evolution of the field and laid a solid foundation for future research; ④ Keyword clustering analysis showed that the main research topics in the domain of forest carbon sequestration could be summarized as: (a) temperate forest; (b) forest management; (c) uncertainty analysis; (d) forest floor; (e) REDD; (f) net primary productivity. Meanwhile, keyword bursts analysis showed that the new research hotspots or research frontiers mainly concentrated on changes in the carbon storage and carbon sequestration potential of secondary forests and tropical forests, plant litter carbon storage and contribution to total ecosystem carbon storage, and new national forest inventories (NFIs). Through in-depth analysis of forest carbon sequestration research, this paper provides a better understanding of development trends that have emerged in this field over the past 29 years, which can also offer reference for future research. [ABSTRACT FROM AUTHOR]

This paper reports one part of an ethnographic case study on a Sino-Canadian transnational education programme in southern China. The framework of multiliteracies pedagogy elucidates data collected from classroom observations and teacher interviews. Key findings relate Chinese and Canadian teachers' efforts to nurture emerging global citizens' multilayered linguistic and cultural identities in response to the school's hybrid Sino-Canadian curriculum. Data also intimate literacy teachers' power negotiations pertaining to modality, regional/international languages, the school's imbalanced emphasis on English curricula, and local and global accountability models by building in multiple literacy practices and modes of representations to cater to students' diversified needs. [ABSTRACT FROM AUTHOR]

Abstract: This paper utilizes Helena Znaniecka Lopata's concept of life frameworks as a lens through which to understand the experience of widowhood amongst elderly Chinese immigrant women living in Toronto, Canada. While Lopata defined life frameworks as including social supports, social relations and social roles, for these widows, personal resources (framed in Chinese cultural context) were also important aspects of life frameworks. In-depth interviews with 20 widows contacted through a Chinese community center were conducted in Mandarin and Cantonese and then transcribed and interpreted through team-based qualitative analyses. These women ranged in age from 69 to 93years and had been in Canada an average of 17years, with over half of them widowed following immigration. Our analysis framed the widows' narratives in terms of four types of supports defined by Lopata: social, service, financial and emotional supports. They had fairly extensive social and service supports focused primarily around family and the Chinese community. Although norms of filial piety traditionally dictate sons as primary supports, daughters predominated as providers of supports to these widows. Interpreted from a life course perspective, financial supports were deemed sufficient, despite overall limited financial means. Emotional support was more nuanced and complex for these widows. Loneliness and feelings of social isolation were prevalent. Nevertheless, themes of acceptance and satisfaction dominated our findings, as did reciprocity and exchange. The narrative accounts of these widows depict a complexity of experience rooted in their biographies as Chinese women and as immigrants, rather than primarily in widowhood itself. [Copyright &y& Elsevier]

Abstract: In 1988, Dr. Kyoji Sassa proposed a geotechnical model [Sassa, K., 1988. Geotechnical model for the motion of landslides. In: Proceedings, 5th International Symposium on Landslides, vol. 1, pp. 37–56] to simulate landslide motion and to establish a theoretical framework for landslide simulation. In 2002, based on the experimental results of using a ring-shear apparatus for simulation of landslide motion, Wang and Sassa proposed a model for apparent friction coefficient change (which is a key parameter of landslide motion) that can be combined with Sassa’s original geotechnical model. As presented in the model for apparent friction coefficient change, a landslide is considered as a two-layer structure, i.e., a debris layer and a sliding zone. During landsliding, the thickness of the debris layer changes, while shear resistance changes in the sliding zone. In this paper, after a brief introduction of the two models, a parametric study is presented to show the differing importance of each parameter. Also included is a presentation of three case studies: The 1995 Fei Tsui Road landslide, and the 1995 Shum Wan landslide, both in Hong Kong, and the 1903 Frank slide in Alberta, Canada to show the advantage of combining the two models. [Copyright &y& Elsevier]

• Cumulative publication of China's CCS research was about 3.4 times that of Canada. • China's CCS research had the advantage of pre-combustion carbon capture. • Canada's CCS research advantage lied in the ecosystem carbon sequestration. • Canada's CCS research will reach saturation 15 years later than that in China. In order to effectively address climate change, academia and industry have paid much attention to the development trend of Carbon Capture and Storage (CCS). However, there is no mature CCS research trend monitoring system. China is likely to be the largest market for CCS technology in the future, while Canada is the first country to start the research and development of CCS. Existing studies have discussed the CCS research trends at the global level, in China, Canada, and in other countries. However, few comparative studies have been carried out in key countries. In this study, an integrated method of bibliometrics and S-Curve is proposed with the purpose of comparing CCS research trends between China and Canada. Firstly, the bibliometrics method was used to compare the conceptual structure and research route of CCS research in China and in Canada. Secondly, the key collaborators were indentified through the comparison of collaboration relationships. Finally, the S-Curve model was employed to forecast the CCS research output trend in China and Canada. This study found that China's CCS research had the advantage of pre-combustion carbon capture, while Canada's advantage lied in the ecosystem carbon sequestration. It was also shown that Canada's CCS cumulative publication may reach saturation 15 years later than that in China. This paper provides insight into the CCS research and development optimization for China, Canada and globally. The CCS research trends comparison tools proposed in this study can benefit to monitor the CCS research by governments and enterprises. [ABSTRACT FROM AUTHOR]