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Introduction: This study presents a global research scenario in the broad domain of osteoarthritis (OA) research, using quantitative and qualitative publication and citation indicators. Methods: The study is based on 45,368 global publications, sourced from the Scopus bibliographical database, covering three decades (1994–2023). We studied the performance of the top 12 developed and top 12 developing countries. The key countries, organizations and authors at national and international levels were identified. The broad subject areas and key journals contributing to global OA research were delineated, besides identifying the broad characteristics of highly cited papers in the field. Results: The United States and China were the most productive countries, while the Netherlands and Canada made the largest citation impact. Harvard Medical School and the University of Sydney made the most contribution, while Boston University and Pfizer Inc., USA registered the highest citation impact. Hunter DJ and Guermazi A were the most productive authors, while Lohmander LS, and Hochberg MC registered the highest citation impact. Osteoarthritis and Cartilage (n = 4879) and Annals of the Rheumatic Diseases (n = 786) published the maximum papers, while Arthritis and Rheumatism and Nature Reviews Rheumatology registered the largest citation impact. The highly cited papers with 100 or more citations constituted 6.25% of the total publications. Conclusions: There has been a systematic growth of publications on OA. The research on OA was mainly done in developed countries, with the maximum publications coming from the United States of America, China and Canada. The most impactful publications on OA were from the Netherlands, Canada and the United States of America. [ABSTRACT FROM AUTHOR]

In a series of two papers, the narrative themes of Intergenerational Trauma (IGT) from both the parent and offspring generation in the Chinese diaspora in Canada are examined. This paper focuses on the experiences of parental participants and their perspectives on how trauma transmits to the next generation. Narratives of IGT from three participants were co-constructed using the Collaborative Narrative Method. The narratives were largely situated during pre-migration in China, with most traumatic experiences related to sociopolitical events between the 1950s to 1980s. Themes were developed from the narratives using reflexive thematic analysis. These themes include the following: (a) decimation of social structures; (b) oppression, chaos, and abuse; (c) desperation for survival; (d) personal losses and the denial of education and opportunities; and (e) preservation of values. Themes associated with participant perception of how their traumatic experience transmitted to their offspring, include the following: (a) desire for stability and opportunities; (b) pressure and concern for the future of their offspring; and (c) hope for the future. The study has implications for understanding the linkage between historical events and individual narratives in the Chinese diaspora, as well as the study of IGT among Chinese populations and their narratival understandings. [ABSTRACT FROM AUTHOR]

This study examines through a systematic review, the reference services rendered in academic libraries using artificial intelligence (AI) and by collecting data through environmental scanning. The objective of this systematic literature review is to provide a synthesis of empirical studies exploring the application of artificial intelligence for reference services in academic libraries. Data were collected from Web of Science, Scopus, and LISA databases. Following the rigorous/established selection process, a total of thirty five articles were finally selected, reviewed and analyzed. Thirty five papers were identified, analyzed and summarized on the subject relating to the application of AI and the methods which are most often used. The findings demonstrate that university libraries in Canada and China are leading in the deployment of AI for reference services. The AI techniques used mostly in the scanned university libraries are self-directed learning and natural language processing techniques; while the challenges of using AI for reference services are the problem of quality intelligence, linguistic style, privacy, a threat to intellectual freedom, bias, and cost; inadequate experts, poor network, poor training and lack of innovation, and limited knowledge about the technology. The study indicates university libraries take into account implementing AI for reference services. [ABSTRACT FROM AUTHOR]

The legalization of recreational cannabis consumption in Canada created a cultural conflict for international students from China, where the use of cannabis is heavily criminalized and deemed immoral. This conceptual paper theorizes this cultural conflict experienced by Chinese international students in Canada by applying three theories from macro to micro levels. Neoliberalism is first used to understand how this cultural conflict exposes collisions between the neoliberal West and the rising economic power of China as illustrated through Chinese students studying in Canada. Next, acculturation theory focuses on these students' cultural transition and provides further insight into potential strategies for their handling of specific cultural conflicts such as cannabis use. Lastly, Cloninger's theory of substance use is adopted to explore Chinese international students' individual reasoning about cannabis use, particularly how they make decisions based on evaluations of various conditions. Building upon the above analyses, an integrated conceptual model is further formed to help us understand Chinese students' potential perception of cannabis use in Canada. This conceptual framework provides an important theoretical and conceptual base for future research and practice, from which to further explore cannabis use in the context of cultural transition of different immigrant and migrant groups. [ABSTRACT FROM AUTHOR]

This paper presents findings from an investigation of nature-based practices, from the perspectives of 10 academics/educators from six nations. Participants engaged in a focus group exploring the prevalence and inclusion of nature in social work practice and education. While the study focused on individual members' experiences and perspectives, the findings highlight important context-specific factors for including nature within social work to reconnect humans with nature for health, well-being, healing, and justice. An Integrative Environmental Model for social work is proposed to assist future practice and education. [ABSTRACT FROM AUTHOR]

Existing literature on international health partnerships is largely normative, with an evaluative interest in their impacts in terms of learning and knowledge transfer. Rarely has research attended to how learning and knowledge transfer transpire in practice. This paper addresses this gap with a case study of a partnership between two hospitals in Canada and China. Conceptually, drawing on Actor Network Theory, it posits learning and knowledge transfer as a process of translation. Empirically, it traces the assembling of the programme, and identifies the pedagogical features at nodes of associations. It reveals that health professionals in both countries have expanded their clinical and medical knowledge and practices, and professional senses and sensitivities, which were subsequently amplified, deferred or diminished within their respective practices. It argues that the capacity of individuals to translate learning into practice is contingent on institutional and cultural differences that constitute the ecology of work for health professionals. [ABSTRACT FROM AUTHOR]

Solid waste management refers to collecting, treating, and disposing of solid waste that has served its purpose or is no longer useful. The primary purpose of this research is to map and visualize the solid waste management literature indexed on the Web of science between 1966 and 2021 based on bibliometrics analysis. This study also identified the most productive authors, sources, organizations, countries, research areas, funding agencies etc. This study employed the bibliometric method to analyze global research productivity on solid waste management literature. A total of 4444 research papers downloaded from the Web of science during the study period. Bibliometrics software, namely Bibexcel, VOSviewer, Biblioshiny, and Microsoft Excel, used to analyze the data. The results show that there was 4444 publication with 78759 citations between 1966 and 2021. The maximum number of papers, i.e., 424 published in 2020, in 1966 single paper published and received one citation. The journal Waste management published 382 papers and became the most relevant source of the topic, whereas Huang GH recognized as the most prolific author with 214 papers. China contributed a significant number of research papers in the field, while the University of Regina, Canada, emerged as a top-performing institution. China and Canada together collaborated more in producing literature in solid waste management. The study concludes that there is a need for further bibliometric study of other related topics in waste management, such as liquid waste management and gasses waste management. [ABSTRACT FROM AUTHOR]

With an increasing number of children diagnosed with Autism-Spectrum-Disorder in Canada, this paper focuses on how their mothers, as Asian immigrant women, experience the process of diagnosis and learn to parent their children. By taking two Asian (Korean and Chinese) mothers' critical personal narratives as major data sources, this paper aims to explore the diagnosis process of Autism-Spectrum-Disorder through a sociocultural lens on the intersectionality of (im)migrants and their cultural competence, and argues that their identity (re)construction and learning for parenting take place at the intersectionality of race, gender, class, and disability. This paper highlights possible implications for everyone involved in this 'medical' process, in the context of Canadian or other similar multicultural societies. Asian immigrant mothers usually have to deal with children with Autism-Spectrum-Disorder (ASD) and they have bitter experience of mistreatment tied to race, gender and class. This study reveals how Asian immigrant mothers struggled in their integration to Canadian society as well as their experiences of denial into Canada's medical system. The stories of these two women shed lights on the social and cultural aspects of immigrant mothers' learning strategies, including how they utilize accessible resources and networks for their children's treatment and diagnosis. This paper suggests that policymakers need to consider the social and cultural aspects of diagnosis in immigrant families to better fit their needs and provide them appropriate medical and social support. [ABSTRACT FROM AUTHOR]

SAGD technology has been successfully and widely applied in the development of superheavy oil and oil sand projects. Before normal SAGD process, some preheating ways are often needed to realize interwell hydraulic connection, and this means that determining reasonable SAGD conversion timing from the preheating stage is an essential precondition for good performance. Previous numerical simulations or qualitative analysis of temperature fall-off data are often adopted in the industry, but they have deficiencies in terms of dependent on static geological model or insufficient data utilization. Therefore, on the basis of the temperature and pressure monitoring process comparison in China's superheavy oil and Canada's oil sand projects, this paper proposed a temperature fall-off interpretation model to obtain thermal diffusivity and preheating radius at different measurement points along the horizontal section by combining an unsteady thermal conduction model under constant heating power of wellbores in the radial coordinate system and approximately unsteady thermal conduction model with constant wellbore temperature and Fourier's law of thermal conduction. Besides, the duration time, interpretation method, and application flow chart of temperature fall-off test were presented. Then, it was validated to successfully determine the timing of SAGD conversion from the preheating stage by an example combining with tracking numerical simulation, temperature inflection point analysis, and index analysis during the partial-SAGD and initial SAGD stages. The findings of this study can help determine the SAGD conversion timing from the preheating stage simpler and faster especially for the case of long horizontal well section deployed with more temperature measurement points. [ABSTRACT FROM AUTHOR]

Studies related to oil and gas wells have attracted worldwide interest due to the increasing energy shortfall and the requirement of sustainable development and environmental protection. However, the state of oil and gas wells in terms of research characteristics, technological megatrends, article-produced patterns, leading study items, hot topics, and frontiers is unclear. This work is aimed at filling the research gaps by performing a comprehensive bibliometric analysis of 6197 articles related to oil and gas wells published between 1900 and 2021. VOSviewer and CiteSpace software were used as the main data analysis and visualization tools. The analysis shows that the annual variation of article numbers, interdisciplinary numbers, and cumulative citations followed exponential growth. Oil and gas well research has promoted the expansion of research fields such as engineering, energy and fuels, geology, environmental sciences and ecology, materials science, and chemistry. The top 10 influential studies mainly focused on shale gas extraction and its impact on the environment. More studies were produced by larger author teams and inter-institution collaborations. Elkatatny and Guo have greatly contributed to the application of artificial intelligence in oil and gas wells. The two most contributing institutions were the Southwest Petr Univ and China Univ Petr from China. The People's Republic of China, the US, and Canada were the countries with the most contributions to the development of oil and gas wells. The authoritative journal in engineering technology was J Petrol Sci Eng, in environment technology was Environ Sci Technol, in geology was Aapg Bull, and in materials was Cement Concrete Res. The keyword co-occurrence network cluster analysis indicated that oil well cement, new energy development, machine learning, hydraulic fracturing, and natural gas and oil wells are the predominant research topics. The research frontiers were oil extraction and its harmful components (1992–2016), oil and gas wells (1997–2016), porous media (2007–2016), and hydrogen and shale gas (2012–2021). This paper comprehensively and quantitatively analyzes all aspects of oil and gas well research for the first time and presents valuable information about active and authoritative research entities, cooperation patterns, technology trends, hotspots, and frontiers. Therefore, it can help governments, policymakers, related companies, and the scientific community understand the global progress in oil and gas well research and provide a reference for technology development and application. [ABSTRACT FROM AUTHOR]

Gender norms, roles and relations differentially affect women, men, and non-binary individuals' vulnerability to disease. Outbreak response measures also have immediate and long-term gendered effects. However, gender-based analysis of outbreaks and responses is limited by lack of data and little integration of feminist analysis within global health scholarship. Recognising these barriers, this paper applies a gender matrix methodology, grounded in feminist political economy approaches, to evaluate the gendered effects of the COVID-19 pandemic and response in four case studies: China, Hong Kong, Canada, and the UK. Through a rapid scoping of documentation of the gendered effects of the outbreak, it applies the matrix framework to analyse findings, identifying common themes across the case studies: financial discrimination, crisis in care, and unequal risks and secondary effects. Results point to transnational structural conditions which put women on the front lines of the pandemic at work and at home while denying them health, economic and personal security – effects that are exacerbated where racism and other forms of discrimination intersect with gender inequities. Given that women and people living at the intersections of multiple inequities are made additionally vulnerable by pandemic responses, intersectional feminist responses should be prioritised at the beginning of any crises. [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]