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Institution

Hong Kong Baptist University

EducationHong Kong, China
About: Hong Kong Baptist University is a education organization based out in Hong Kong, China. It is known for research contribution in the topics: Population & China. The organization has 7811 authors who have published 18919 publications receiving 555274 citations. The organization is also known as: Hong Kong Baptist College & HKBU.


Papers
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Journal ArticleDOI
TL;DR: Lime is a suitable material to co-compost with sewage sludge to reduce the availability of heavy metals and addition of lime to sewageSludge during composting resulted in lower DTPA extractable metal contents.

162 citations

Journal ArticleDOI
TL;DR: This paper found that life satisfaction is associated more strongly with geographical context than is momentary well-being, while social contacts and social contacts are positively associated with experienced wellbeing, and these relations stretch across multiple timescales and depend to some extent on the duration of an activity episode.
Abstract: Against the background of increased interest in subjectively experienced well-being in economics, psychology, and the social sciences, this article analyzes how such well-being is associated with geographical context, social contacts, and life circumstances. The empirical analysis of data collected in Hong Kong is used to elaborate and support two main claims. The first is that geography matters to not only overall well-being but also momentary well-being and that researchers should be careful to specify the influence of geographical context correctly. We therefore employ an approach that is informed by various strands of time–geographical thought and find that life satisfaction is associated more strongly with geographical context than is momentary well-being. Second, we confirm positive relations between social contacts and experienced well-being but extend earlier research by showing that these relations stretch across multiple timescales and depend to some extent on the duration of an activity episode...

162 citations

Journal ArticleDOI
TL;DR: A detailed survey of existing approaches to conversational recommendation is provided, categorizing these approaches in various dimensions, e.g., in terms of the supported user intents or the knowledge they use in the background.
Abstract: Recommender systems are software applications that help users to find items of interest in situations of information overload. Current research often assumes a one-shot interaction paradigm, where the users' preferences are estimated based on past observed behavior and where the presentation of a ranked list of suggestions is the main, one-directional form of user interaction. Conversational recommender systems (CRS) take a different approach and support a richer set of interactions. These interactions can, for example, help to improve the preference elicitation process or allow the user to ask questions about the recommendations and to give feedback. The interest in CRS has significantly increased in the past few years. This development is mainly due to the significant progress in the area of natural language processing, the emergence of new voice-controlled home assistants, and the increased use of chatbot technology. With this paper, we provide a detailed survey of existing approaches to conversational recommendation. We categorize these approaches in various dimensions, e.g., in terms of the supported user intents or the knowledge they use in the background. Moreover, we discuss technological approaches, review how CRS are evaluated, and finally identify a number of gaps that deserve more research in the future.

162 citations

Journal ArticleDOI
Lawrence N. Hudson1, Tim Newbold2, Tim Newbold3, Sara Contu1  +570 moreInstitutions (291)
TL;DR: The PREDICTS project as discussed by the authors provides a large, reasonably representative database of comparable samples of biodiversity from multiple sites that differ in the nature or intensity of human impacts relating to land use.
Abstract: The PREDICTS project—Projecting Responses of Ecological Diversity In Changing Terrestrial Systems (www.predicts.org.uk)—has collated from published studies a large, reasonably representative database of comparable samples of biodiversity from multiple sites that differ in the nature or intensity of human impacts relating to land use. We have used this evidence base to develop global and regional statistical models of how local biodiversity responds to these measures. We describe and make freely available this 2016 release of the database, containing more than 3.2 million records sampled at over 26,000 locations and representing over 47,000 species. We outline how the database can help in answering a range of questions in ecology and conservation biology. To our knowledge, this is the largest and most geographically and taxonomically representative database of spatial comparisons of biodiversity that has been collated to date; it will be useful to researchers and international efforts wishing to model and understand the global status of biodiversity.

162 citations

Journal ArticleDOI
TL;DR: A research model of continued usage of Internet-based learning technologies was developed by extending the information systems (IS) continuance model, and habit was posited as a moderating effect on determining student's continued use of the Internet- based learning technologies.
Abstract: The proliferation and advance of Internet-based technologies create expanded opportunities for educators to provide students with better learning experiences. Although current studies focus mostly on the learning processes and learning outcomes, this article examines the students' usage behaviour with Internet-based learning technologies across time. A research model of continued usage of Internet-based learning technologies was developed by extending the information systems (IS) continuance model. Specifically, the research model attempted to explain the fact that frequently performed behaviours tend to be automatic over time, and habit was posited as a moderating effect on determining student's continued use of the Internet-based learning technologies. The proposed research model was empirically validated using a longitudinal survey of the use of Internet-based learning technologies among student subjects. The research model explained 20% of the variance in IS continuance usage and 50% of the variance in IS continuance intention. Habit was found significantly moderating the relationship between IS continuance intention and IS continuance usage. The article concludes with a discussion on the implications of results for research and practice.

161 citations


Authors

Showing all 7946 results

NameH-indexPapersCitations
Weihong Tan14089267151
Bin Liu138218187085
Jun Lu135152699767
John P. Giesy114116262790
Qiang Yang112111771540
Ming Hung Wong10371039738
Wei Wang95354459660
Jianhua Zhang9241528085
Xiaojun Wu91108831687
Guibin Jiang8885034633
Shu Tao8763927304
Paul K.S. Lam8748525614
Cheng-Yong Su8758132322
Hai-Long Jiang8619830946
Baowen Li8347723080
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202346
2022246
20211,655
20201,479
20191,244
20181,093