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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: China & Population. 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: It is proposed that job insecurity increases workplace deviance and intentions to leave by encouraging employees to morally disengage, and the strength of the positive association between job insecurity, moral disengagement, and these outcomes is contingent upon 2 aspects of the situation—employees’ perceived employment opportunities outside the organization and the quality of the exchange relationship they have developed with their supervisors.
Abstract: This study examines why and when employees might respond to job insecurity by engaging in workplace deviance and developing intentions to leave-2 activities that are costly for organizations. Drawing on social exchange theory and the theory of moral disengagement, we propose that job insecurity increases workplace deviance and intentions to leave by encouraging employees to morally disengage. We further propose that the strength of the positive association between job insecurity, moral disengagement, and these outcomes is contingent upon 2 aspects of the situation-employees' perceived employment opportunities outside the organization and the quality of the exchange relationship they have developed with their supervisors (leader-member exchange, or LMX). Two time-lagged studies of Chinese workers provide support for the hypothesized 1st-stage moderated mediation model. Specifically, the indirect effect of job insecurity on organizational and interpersonal deviance and intentions to leave via moral disengagement was positive and significant when individuals had more employment opportunities or when LMX was lower but not when they had fewer employment opportunities or when LMX was higher. (PsycINFO Database Record

131 citations

Journal ArticleDOI
TL;DR: There is an urgent need to control and monitor the informal e-waste recycling operations and knowledge gaps, such as comprehensive dietary exposure data, epidemiological and clinical studies, body burdens of infants and children, and kinetics about PCDD/Fs partitions among different human tissues should be addressed.

131 citations

Journal ArticleDOI
TL;DR: The indigenous mycorrhizas enhanced As accumulation in the As mine populations of P. vittata and Cynodon dactylon and sustained its growth by aiding P absorption, and for C.dactylon, As was mainly accumulated in myCorrhizal roots and translocation to shoots was inhibited.

131 citations

Journal ArticleDOI
01 Dec 2012
TL;DR: A new indexing framework for top-k spatial text retrieval using the inverted file for text retrieval and the R-tree for spatial proximity querying is proposed, taking into account both text relevancy and spatial proximity to prune the search space.
Abstract: The conventional Internet is acquiring a geospatial dimension. Web documents are being geo-tagged and geo-referenced objects such as points of interest are being associated with descriptive text documents. The resulting fusion of geo-location and documents enables new kinds of queries that take into account both location proximity and text relevancy. This paper proposes a new indexing framework for top-k spatial text retrieval. The framework leverages the inverted file for text retrieval and the R-tree for spatial proximity querying. Several indexing approaches are explored within this framework. The framework encompasses algorithms that utilize the proposed indexes for computing location-aware as well as region-aware top-k text retrieval queries, thus taking into account both text relevancy and spatial proximity to prune the search space. Results of empirical studies with an implementation of the framework demonstrate that the paper's proposal is capable of excellent performance.

131 citations

Journal ArticleDOI
TL;DR: The present review has highlighted the new insights on the complex relationships between diet-induced modulation of gut microbiota and metabolic disorders, including diabetes, and highlights the benefits of the microbiota especially, the abundant F. prausnitzii in protecting the gut microbiota pattern and its therapeutic potential against inflammation and diabetes.
Abstract: The incidence of metabolic disorders, including diabetes, has elevated exponentially during the last decades and enhanced the risk of a variety of complications, such as diabetes and cardiovascular diseases. In the present review, we have highlighted the new insights on the complex relationships between diet-induced modulation of gut microbiota and metabolic disorders, including diabetes. Literature from various library databases and electronic searches (ScienceDirect, PubMed, and Google Scholar) were randomly collected. There exists a complex relationship between diet and gut microbiota, which alters the energy balance, health impacts, and autoimmunity, further causes inflammation and metabolic dysfunction, including diabetes. Faecalibacterium prausnitzii is a butyrate-producing bacterium, which plays a vital role in diabetes. Transplantation of F. prausnitzii has been used as an intervention strategy to treat dysbiosis of the gut’s microbial community that is linked to the inflammation, which precedes autoimmune disease and diabetes. The review focuses on literature that highlights the benefits of the microbiota especially, the abundant of F. prausnitzii in protecting the gut microbiota pattern and its therapeutic potential against inflammation and diabetes.

131 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