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  • 1
    Online Resource
    Online Resource
    Post-COVID-19 Epidemic: Allostatic Load among Medical and Nonmedical Workers in China
    S. Karger AG ; 2021
    In:  Psychotherapy and Psychosomatics Vol. 90, No. 2 ( 2021), p. 127-136
    Details
    In: Psychotherapy and Psychosomatics, S. Karger AG, Vol. 90, No. 2 ( 2021), p. 127-136
    Abstract: Background: As the fight against the COVID-19 epidemic continues, medical workers may have allostatic load. Objective: During the reopening of society, medical and nonmedical workers were compared in terms of allostatic load. Methods: An online study was performed; 3,590 Chinese subjects were analyzed. Socio-demographic variables, allostatic load, stress, abnormal illness behavior, global well-being, mental status, and social support were assessed. Results: There was no difference in allostatic load in medical workers compared to nonmedical workers (15.8 vs. 17.8%; p = 0.22). Multivariate conditional logistic regression revealed that anxiety (OR = 1.24; 95% CI 1.18–1.31; p 〈 0.01), depression (OR = 1.23; 95% CI 1.17–1.29; p 〈 0.01), somatization (OR = 1.20; 95% CI 1.14–1.25; p 〈 0.01), hostility (OR = 1.24; 95% CI 1.18–1.30; p 〈 0.01), and abnormal illness behavior (OR = 1.49; 95% CI 1.34–1.66; p 〈 0.01) were positively associated with allostatic load, while objective support (OR = 0.84; 95% CI 0.78–0.89; p 〈 0.01), subjective support (OR = 0.84; 95% CI 0.80–0.88; p 〈 0.01), utilization of support (OR = 0.80; 95% CI 0.72–0.88; p 〈 0.01), social support (OR = 0.90; 95% CI 0.87–0.93; p 〈 0.01), and global well-being (OR = 0.30; 95% CI 0.22–0.41; p 〈 0.01) were negatively associated. Conclusions: In the post-COVID-19 epidemic time, medical and nonmedical workers had similar allostatic load. Psychological distress and abnormal illness behavior were risk factors for it, while social support could relieve it.
    Type of Medium: Online Resource
    ISSN: 0033-3190 , 1423-0348
    URL: Article
    DOI: 10.1159/000511823
    RVK:
    CU 5500
    RVK:
    XA 10000
    Language: English
    Publisher: S. Karger AG
    Publication Date: 2021
    detail.hit.zdb_id: 1472321-9
    SSG: 5,2
    SSG: 15,3
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  • 2
    Online Resource
    Online Resource
    Role of structure and component in judgments of visual similarity of Chinese characters.
    American Psychological Association (APA) ; 2002
    In:  Journal of Experimental Psychology: Human Perception and Performance Vol. 28, No. 4 ( 2002), p. 933-947
    Details
    In: Journal of Experimental Psychology: Human Perception and Performance, American Psychological Association (APA), Vol. 28, No. 4 ( 2002), p. 933-947
    Type of Medium: Online Resource
    ISSN: 1939-1277 , 0096-1523
    URL: Article
    DOI: 10.1037/0096-1523.28.4.933
    RVK:
    CL 1000
    Language: English
    Publisher: American Psychological Association (APA)
    Publication Date: 2002
    detail.hit.zdb_id: 2067413-2
    SSG: 5,2
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  • 3
    Online Resource
    Online Resource
    Sleep patterns in college students
    Elsevier BV ; 2004
    In:  Journal of Psychosomatic Research Vol. 56, No. 2 ( 2004-2), p. 231-237
    Details
    In: Journal of Psychosomatic Research, Elsevier BV, Vol. 56, No. 2 ( 2004-2), p. 231-237
    Type of Medium: Online Resource
    ISSN: 0022-3999
    URL: Article
    DOI: 10.1016/S0022-3999(03)00507-5
    RVK:
    CL 1000
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2004
    detail.hit.zdb_id: 1500642-6
    SSG: 5,2
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  • 4
    Online Resource
    Online Resource
    Identifying Influential Factors of Knowledge Sharing in Emergency Events: A Virtual Community Perspective
    Wiley ; 2013
    In:  Systems Research and Behavioral Science Vol. 30, No. 3 ( 2013-05), p. 367-382
    Details
    In: Systems Research and Behavioral Science, Wiley, Vol. 30, No. 3 ( 2013-05), p. 367-382
    Abstract: Knowledge sharing on emergency events in virtual communities is a significant information source for emergency management. Based on social cognitive theory and social capital theory as well as the consideration of the characteristics of emergency events, we employ a survey questionnaire for the empirical study and adopt the two‐stage confirmatory factor analysis method to construct a structural equation model for identifying the influential factors in knowledge sharing in emergencies. Through conducting a detailed data analysis, our study reveals that that some emergency event characteristics have significant effects on both the quality and quantity of knowledge sharing. Copyright © 2013 John Wiley & Sons, Ltd.
    Type of Medium: Online Resource
    ISSN: 1092-7026 , 1099-1743
    URL: Issue
    URL: Article
    DOI: 10.1002/sres.v30.3
    DOI: 10.1002/sres.2181
    RVK:
    CL 1000
    Language: English
    Publisher: Wiley
    Publication Date: 2013
    detail.hit.zdb_id: 1491223-5
    detail.hit.zdb_id: 1380825-4
    SSG: 12
    SSG: 3,4
    SSG: 5,2
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  • 5
    Online Resource
    Online Resource
    HOW LONG IS LONG ENOUGH: PUBLIC CONCERN ABOUT THE ACADEMIC CAREERS OF STUDENTS FROM AREAS DEVASTATED BY THE WENCHUAN EARTHQUAKE
    Psychologia Society ; 2011
    In:  PSYCHOLOGIA Vol. 54, No. 2 ( 2011), p. 80-86
    Details
    In: PSYCHOLOGIA, Psychologia Society, Vol. 54, No. 2 ( 2011), p. 80-86
    Type of Medium: Online Resource
    ISSN: 0033-2852 , 1347-5916
    URL: Article
    DOI: 10.2117/psysoc.2011.80
    RVK:
    CL 5740
    Language: English
    Publisher: Psychologia Society
    Publication Date: 2011
    detail.hit.zdb_id: 2191461-8
    SSG: 5,2
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  • 6
    Online Resource
    Online Resource
    Integrating systems concepts into manufacturing information systems
    Wiley ; 2000
    In:  Systems Research and Behavioral Science Vol. 17, No. 2 ( 2000-03), p. 135-147
    Details
    In: Systems Research and Behavioral Science, Wiley, Vol. 17, No. 2 ( 2000-03), p. 135-147
    Type of Medium: Online Resource
    ISSN: 1092-7026 , 1099-1743
    URL: Issue
    URL: Journal
    URL: Article
    DOI: 10.1002/(SICI)1099-1743(200003/04)17:2〈〉1.0.CO;2-#
    DOI: 10.1002/(ISSN)1099-1743
    DOI: 10.1002/(SICI)1099-1743(200003/04)17:2〈135::AID-SRES289〉3.0.CO;2-7
    RVK:
    CL 1000
    Language: English
    Publisher: Wiley
    Publication Date: 2000
    detail.hit.zdb_id: 1491223-5
    detail.hit.zdb_id: 1380825-4
    SSG: 12
    SSG: 3,4
    SSG: 5,2
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  • 7
    Online Resource
    Online Resource
    BSP‐GA: A new Genetic Algorithm for System Optimization and Excellent Schema Selection
    Wiley ; 2014
    In:  Systems Research and Behavioral Science Vol. 31, No. 3 ( 2014-05), p. 337-352
    Details
    In: Systems Research and Behavioral Science, Wiley, Vol. 31, No. 3 ( 2014-05), p. 337-352
    Abstract: The significance of Internet‐of‐Things to Supply Chain Management has been dramatically increasing. The performance of supply chain based on Internet‐of‐Things is largely dependent on its optimization. Genetic algorithms (GAs) are important intelligent methods for complex system optimization problems, but they have some internal drawbacks such as premature and slow convergence to the global optimum. In this paper, we present a new schema protection based GA (BSP‐GA). First, we propose three principles for selecting excellent schema based on the schema theory; second, we propose the concept of K ‐intensive effect synthesis operator, and we give a general five‐intensive effect synthesis operator and its proof; third, we give the selection process of excellent schema through an example, and further we give the implementation steps of BSP‐GA. The performance of BSP‐GA has been compared with simple GA by using two carefully chosen benchmark problems. It has been observed that BSP‐GA can yield the global optimum more efficiently than commonly used simple GA. Furthermore, a theorem is presented to guarantee the convergence of BSP‐GA. Copyright © 2014 John Wiley & Sons, Ltd.
    Type of Medium: Online Resource
    ISSN: 1092-7026 , 1099-1743
    URL: Issue
    URL: Article
    DOI: 10.1002/sres.v31.3
    DOI: 10.1002/sres.2280
    RVK:
    CL 1000
    Language: English
    Publisher: Wiley
    Publication Date: 2014
    detail.hit.zdb_id: 1491223-5
    detail.hit.zdb_id: 1380825-4
    SSG: 12
    SSG: 3,4
    SSG: 5,2
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  • 8
    Online Resource
    Online Resource
    Every Science/Nature Potter Praises His Own Pot—Can We Believe What He Says Based on His Mother Tongue?
    SAGE Publications ; 2011
    In:  Journal of Cross-Cultural Psychology Vol. 42, No. 1 ( 2011-01), p. 125-130
    Details
    In: Journal of Cross-Cultural Psychology, SAGE Publications, Vol. 42, No. 1 ( 2011-01), p. 125-130
    Abstract: It has been consistently observed that people are generally overconfident in their judgments or decisions and that overconfidence in general knowledge is typically stronger among Asian than among Western subject groups. However, scientists, whose job is to produce neutral and objective knowledge, are expected to be immune to overconfidence and to be independent of cross-cultural variation. The authors conducted an email survey to determine whether well-trained scholars are really immune to the overconfidence bias and whether cross-cultural variations in overconfidence exist among scientists from different language backgrounds. Contrary to the authors’ expectations, scientists who published their works in Science or Nature were inaccurate, overconfident, likely to nominate the journal they published in to have a greater impact factor, and easier to generate supportive rather than opposite arguments for their own conclusions. The authors also found that Chinese-speaking authors exhibited greater overconfidence but generated fewer arguments than did their English-speaking counterparts, which is consistent with Yates, Lee, and Shinotsuka’s argument recruitment model. The pervasive overconfidence and its cross-cultural variations suggest that an academic author may not communicate his or her conclusions to readers in an impartial and value-free manner, and therefore, the job of detecting bias is hoped to be taken and done well by the reader.
    Type of Medium: Online Resource
    ISSN: 0022-0221 , 1552-5422
    URL: Article
    DOI: 10.1177/0022022110383425
    RVK:
    CL 1000
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2011
    detail.hit.zdb_id: 2021892-8
    SSG: 0
    SSG: 5,2
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  • 9
    Online Resource
    Online Resource
    An ARIMA‐ANN Hybrid Model for Time Series Forecasting
    Wiley ; 2013
    In:  Systems Research and Behavioral Science Vol. 30, No. 3 ( 2013-05), p. 244-259
    Details
    In: Systems Research and Behavioral Science, Wiley, Vol. 30, No. 3 ( 2013-05), p. 244-259
    Abstract: Autoregressive integrated moving average (ARIMA) model has been successfully applied as a popular linear model for economic time series forecasting. In addition, during the recent years, artificial neural networks (ANNs) have been used to capture the complex economic relationships with a variety of patterns as they serve as a powerful and flexible computational tool. However, most of these studies have been characterized by mixed results in terms of the effectiveness of the ANN s model compared with the ARIMA model. In this paper, we propose a hybrid model, which is distinctive in integrating the advantages of ARIMA and ANNs in modeling the linear and nonlinear behaviors in the data set. The hybrid model was tested on three sets of actual data, namely, the Wolf's sunspot data, the Canadian lynx data and the IBM stock price data. Our computational experience indicates the effectiveness of the new combinatorial model in obtaining more accurate forecasting as compared to existing models. Copyright © 2013 John Wiley & Sons, Ltd.
    Type of Medium: Online Resource
    ISSN: 1092-7026 , 1099-1743
    URL: Issue
    URL: Article
    DOI: 10.1002/sres.v30.3
    DOI: 10.1002/sres.2179
    RVK:
    CL 1000
    Language: English
    Publisher: Wiley
    Publication Date: 2013
    detail.hit.zdb_id: 1491223-5
    detail.hit.zdb_id: 1380825-4
    SSG: 12
    SSG: 3,4
    SSG: 5,2
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  • 10
    Online Resource
    Online Resource
    Operations Research (OR) in Service Industries: A Comprehensive Review
    Wiley ; 2013
    In:  Systems Research and Behavioral Science Vol. 30, No. 3 ( 2013-05), p. 300-353
    Details
    In: Systems Research and Behavioral Science, Wiley, Vol. 30, No. 3 ( 2013-05), p. 300-353
    Abstract: The share of gross domestic product from the service industry reflects the competitiveness of a nation; the service industry in the USA accounts for around 80% of its gross domestic product, and it has been increasing gradually. Continual innovations and advances in enabling technologies for the service industry are crucial for developed countries to sustain their leading positions in the globalized economy. To clarify future research directions of operations research (OR) in the service industry, the state of art of OR has been examined systematically, the new requirements of OR are identified for its applications in service industries in comparison with those in manufacturing industries, and the limitations of existing methodologies and tools have been discussed. This paper was intended to provide an updated review on how OR has been applied in the service sector in recent years and what directions the study of OR will be carried forward in the near future. Under a proposed research framework, recent OR‐related articles were collected from 17 leading OR journals and classified into the five most active sectors, that is, transportation and warehousing, information and communication, human health and social assistance, retails and wholesales, and financial and insurance services. The conclusions on the limitations of existing studies and the demanding ORs in the service have been drawn from our summaries and observations from a comprehensive review in this field. Copyright © 2013 John Wiley & Sons, Ltd.
    Type of Medium: Online Resource
    ISSN: 1092-7026 , 1099-1743
    URL: Issue
    URL: Article
    DOI: 10.1002/sres.v30.3
    DOI: 10.1002/sres.2185
    RVK:
    CL 1000
    Language: English
    Publisher: Wiley
    Publication Date: 2013
    detail.hit.zdb_id: 1491223-5
    detail.hit.zdb_id: 1380825-4
    SSG: 12
    SSG: 3,4
    SSG: 5,2
    Location Call Number Limitation Availability
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