A meta-analysis of the correlation between heritage language and ethnic identity

The interaction between heritage language (HL) and ethnic identity has gained increasing scholarly attention over the past decades. Numerous quantitative studies have investigated and vindicated this interaction within certain contexts. Nevertheless, quantitative evidence on this interaction across contexts is absent to date. The current meta-analysis aims to make a contribution in this regard. By integrating relevant studies, this meta-analysis presents a powerful estimation of the reality in relation to the interaction between HL and ethnic identity. By virtue of certain retrieval strategies and selection criteria, the meta-analysis includes 43 data-sets emerging from 18 studies that have addressed the statistical correlation between the proficiency of HL and the sense of ethnic identity associated with different ethnic groups. When contrasted to one another, the results of these included studies are significantly different. However, when combined together, these studies point to a statistically significant moderate positive correlation between sense of ethnic identity and proficiency of HL across different ethnic groups. This result has a medium effect. The meta-analysis also inspires some methodological and theoretical discussions.

Review of "English language education across Greater China"; edited by Anwei Feng

I formally learned English from Year Four until the completion of my undergraduate study in China. Because of this personal history, I was keen to review this book and revisit English education in China. The list of contributors to the book includes Anwei Feng (editor) and his colleagues, who play an insider role in English language practice, research, and policy-making in “Greater China”. Greater China according to Feng, can be defined as geographically close, demographically Chinese-dominated, and culturally, economically, and socio-politically interrelated countries and territories where Chinese is either the mother tongue or used as an official language.

Some comparison on whole-proteome phylogeny of large dsDNA viruses based on dynamical language approach and feature frequency profiles method

There has been a growing interest in alignment-free methods for phylogenetic analysis using complete genome data. Among them, CVTree method, feature frequency profiles method and dynamical language approach were used to investigate the whole-proteome phylogeny of large dsDNA viruses. Using the data set of large dsDNA viruses from Gao and Qi (BMC Evol. Biol. 2007), the phylogenetic results based on the CVTree method and the dynamical language approach were compared in Yu et al. (BMC Evol. Biol. 2010). In this paper, we first apply dynamical language approach to the data set of large dsDNA viruses from Wu et al. (Proc. Natl. Acad. Sci. USA 2009) and compare our phylogenetic results with those based on the feature frequency profiles method. Then we construct the whole-proteome phylogeny of the larger dataset combining the above two data sets. According to the report of The International Committee on the Taxonomy of Viruses (ICTV), the trees from our analyses are in good agreement to the latest classification of large dsDNA viruses.

Developing people capabilities for the promotion of sustainability in facility management practices

This thesis investigates the potential people capability factors that can influence the implementation of sustainability agenda in facility management practices. Twenty three critical factors were identified and separated into four categories of strategic, anticipatory, interpersonal and system thinking capabilities. An Interpretive structural model was then developed to explore the interrelationship and priority of each critical factor. A set of guidelines for action and potential effects of each people capability factor were presented for the industry to promote sustainability endeavour in facility management practices.