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  • 1
    Online Resource
    Online Resource
    Factors influencing caring behaviour among registered nurses during the COVID‐19 pandemic in China: A qualitative study using the COM‐B framework
    Hindawi Limited ; 2022
    In:  Journal of Nursing Management Vol. 30, No. 8 ( 2022-11), p. 4071-4079
    Details
    In: Journal of Nursing Management, Hindawi Limited, Vol. 30, No. 8 ( 2022-11), p. 4071-4079
    Type of Medium: Online Resource
    ISSN: 0966-0429 , 1365-2834
    URL: Issue
    URL: Article
    DOI: 10.1111/jonm.v30.8
    DOI: 10.1111/jonm.13855
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2007566-2
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  • 2
    Online Resource
    Online Resource
    A Chinese Version of the Caring Dimensions Inventory: Reliability and Validity Assessment
    MDPI AG ; 2021
    In:  International Journal of Environmental Research and Public Health Vol. 18, No. 13 ( 2021-06-25), p. 6834-
    Details
    In: International Journal of Environmental Research and Public Health, MDPI AG, Vol. 18, No. 13 ( 2021-06-25), p. 6834-
    Abstract: Caring is central to nursing practice. Chinese nurses take care for the health of about 20% of the world’s population and their perception of caring is critical. However, until recently, instrument specifically designed to measure the caring of nurses in China was not found. Caring dimensions inventory (CDI) is one of the most frequently used instrument when measuring caring and is applicable to nurses from different cultures. The aim of this study is to test the validity and reliability of the Chinese version of the 25-item CDI. The English version of CDI was translated into Chinese according to the guidelines of the World Health Organization. Content validity was conducted among seven senior nurses from different institutions in different cities in China. A convenience sample of nurses from 11 cities in China was employed. Exploratory factor analysis and confirmatory factor analysis of the CDI was carried out using a sample of 880 nurses. The overall content validity index was 0.98. Three factors (Nurturance, Collaboration, Skill) were identified in exploratory factor analysis and were confirmed by confirmatory factor analysis. The three-factor solution explains 70.15% of the total variance. The Cronbach alpha for overall the CDI was 0.97. This study demonstrated that the Chinese version of the CDI showed satisfactory reliability and validity, indicating that it could be a useful measurement to assess nurses’ perception of caring in China.
    Type of Medium: Online Resource
    ISSN: 1660-4601
    URL: Article
    DOI: 10.3390/ijerph18136834
    Language: English
    Publisher: MDPI AG
    Publication Date: 2021
    detail.hit.zdb_id: 2175195-X
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    Online Resource
  • 3
    Online Resource
    Online Resource
    Effect of Annual Tillage Practices on Soil Nutrient and Crop Yield in Lime Concretion Black Soil Farmland
    China Science Publishing & Media Ltd. ; 2016
    In:  Acta Agronomica Sinica Vol. 42, No. 10 ( 2016), p. 1560-
    Details
    In: Acta Agronomica Sinica, China Science Publishing & Media Ltd., Vol. 42, No. 10 ( 2016), p. 1560-
    Type of Medium: Online Resource
    ISSN: 0496-3490
    URL: Article
    DOI: 10.3724/SP.J.1006.2016.01560
    Language: English
    Publisher: China Science Publishing & Media Ltd.
    Publication Date: 2016
    SSG: 6,25
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    Online Resource
  • 4
    Online Resource
    Online Resource
    Gender similarities and differences in the perception of caring among nurses during the COVID-19 pandemic: a mixed-methods study
    Springer Science and Business Media LLC ; 2023
    In:  BMC Nursing Vol. 22, No. 1 ( 2023-04-12)
    Details
    In: BMC Nursing, Springer Science and Business Media LLC, Vol. 22, No. 1 ( 2023-04-12)
    Abstract: Caring is the essence and core of nursing. Current studies on the effect of gender on nurses’ perception of caring have been inconsistent. Most of these studies were quantitative and conducted before the COVID-19 pandemic. The study aimed to explore the gender similarities and differences in nurses’ perception of caring during the COVID-19 pandemic. Methods In 2020, a cross-sectional mixed-method study was conducted in 11 cities in China using structured online questionnaire (n = 8030) and face-to-face individual interview (n = 42). Data collection tools included the Caring Dimensions Inventory and semi-structured interview. Results In stepwise multivariable linear regression analysis, female nurses scored 1.93 points higher on caring than male nurses, after completely controlling for the other factors. The interview results showed that both male and female nurses agreed that caring was to deal with three kinds of relationships, namely nurses and people, nurses and themselves, nurses and society. There were gender differences in the connotation of caring between nurses and themselves, but not in the connotations of caring between other relationships. The ranking of the importance of caring connotations among these relationships showed no gender difference except between nurses and themselves. Conclusion The quantitative findings suggest that gender influences nurses’ perception of caring. The qualitative findings demonstrate that nurses regard themselves as both recipients and implementers of caring. The qualitative results indicate nurses of different genders have similarities and differences in their perception of caring, and the biggest difference lies in the relationship between nurses and themselves.
    Type of Medium: Online Resource
    ISSN: 1472-6955
    URL: Article
    DOI: 10.1186/s12912-023-01267-z
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 2091496-9
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  • 5
    Online Resource
    Online Resource
    The impact of caring for COVID-19 patients on nurse professional identity: A cross-sectional study using propensity score analysis
    Frontiers Media SA ; 2022
    In:  Frontiers in Public Health Vol. 10 ( 2022-11-29)
    Details
    In: Frontiers in Public Health, Frontiers Media SA, Vol. 10 ( 2022-11-29)
    Abstract: To examine the impact of caring for COVID-19 patients on the professional identity of nurses. Methods An online survey was conducted between 19 May and 7 August 2020 in 11 Chinese cities, including Dongguan, Foshan, Guangzhou, Hong Kong, Huizhou, Jiangmen, Macao, Shenzhen, Zhaoqing, Zhongshan, and Zhuhai. Propensity score matching was used to adjust for confounding variables between nurses with and without experience caring for COVID-19 patients. To analyze the impact of caring for COVID-19 patients on nurses' professional identity, a nominal logistic regression model was used rather than an ordinal regression model because the parallel regression assumption was violated. Results After propensity score matching, the final sample contained 1,268 participants, including 634 nurses who cared for COVID-19 patients. During the COVID-19 outbreak, 88.6% of nurses had high levels of professional identity. Nurses who cared for COVID-19 patients had the lowest percentage of high score level on the professional identity subscale for “sense of organizational influence,” as did nurses who did not care for COVID-19 patients. The findings indicated that nurses who cared for COVID-19 patients were 17.95 times more likely to have a high professional identity than a low professional identity (95% CI 2.38–135.39, p = 0.005), after completely controlling for the other factors. There were significant differences between nurses who cared for COVID-19 patients and those who did not in scores on the subscales of professional identity, except for the subscales “sense of self-decision-making” (χ 2 = 4.85, p = 0.089) and “sense of organizational influence” (χ 2 = 4.71, p = 0.095). Conclusion Nurses' professional identity is positively impacted by their experience caring for COVID-19 patients. Caring for COVID-19 patients should be highlighted as an opportunity to enhance nurses' professional identity. To further enhance the professional identity of nurses, we call for visible nursing leadership during the COVID-19 pandemic and improve their working environment.
    Type of Medium: Online Resource
    ISSN: 2296-2565
    URL: Article
    DOI: 10.3389/fpubh.2022.1066667
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2711781-9
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  • 6
    Online Resource
    Online Resource
    Nurses Who Are More Willing to Participate in the Fight against COVID-19: Evidence from China
    MDPI AG ; 2021
    In:  International Journal of Environmental Research and Public Health Vol. 18, No. 14 ( 2021-07-09), p. 7357-
    Details
    In: International Journal of Environmental Research and Public Health, MDPI AG, Vol. 18, No. 14 ( 2021-07-09), p. 7357-
    Abstract: When facing an infectious disease disaster, nurses’ willingness to work is critical. Nurses’ lack of willingness to work during a pandemic may worsen the shortage of health care personnel. The purpose of this study is to assess the willingness of nurses to participate in the fight against COVID-19 in China and to identify factors associated therewith. This cross-sectional study examines nurses working in 11 Chinese cities including Macau, Hong Kong, Shenzhen, Dongguan, Huizhou, Guangzhou, Zhaoqing, Foshan, Jiangmen, Zhongshan, and Zhuhai. Questionnaires were collected from 19 May to 7 August 2020. A total of 8065 questionnaires were received, of which 8030 valid questionnaires were included for analysis. A total of 53.4% of participants reported that they had signed up to support the COVID-19 pandemic response. Multivariate logistic regression analysis revealed that being single (OR = 0.72, 95% CI: 0.60–0.87), having no children (OR = 0.81, 95% CI: 0.68–0.97), possessing higher professional qualifications (OR = 1.25, 95% CI: 1.14–1.37), having a more prestigious professional title (OR = 1.68, 95%CI: 1.50–1.90), being an administrative supervisor (OR = 0.53, 95% CI: 0.45–0.63), having a higher caring dimensions inventory score (OR = 1.01, 95% CI: 1.01–1.01), working in a hospital (OR = 0.53, 95% CI: 0.39–0.72), and receiving employer-provided care training (OR = 0.77, 95% CI: 0.68–0.87) were predictive of nurses’ willingness to participate in the fight against COVID-19. We suggest that unmarried nurses should be given priority when recruiting to fight an epidemic and, for married nurses with children who are recruited to fight an epidemic, supporting measures should be provided for childcare. We suggest strengthening workplace training of caring for nurses in order to better retain and recruit qualified support for an epidemic outbreak of infectious diseases.
    Type of Medium: Online Resource
    ISSN: 1660-4601
    URL: Article
    DOI: 10.3390/ijerph18147357
    Language: English
    Publisher: MDPI AG
    Publication Date: 2021
    detail.hit.zdb_id: 2175195-X
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  • 7
    Online Resource
    Online Resource
    Data-driven weight optimization for real-time mesh deformation
    Elsevier BV ; 2019
    In:  Graphical Models Vol. 104 ( 2019-07), p. 101037-
    Details
    In: Graphical Models, Elsevier BV, Vol. 104 ( 2019-07), p. 101037-
    Type of Medium: Online Resource
    ISSN: 1524-0703
    URL: Article
    DOI: 10.1016/j.gmod.2019.101037
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2019
    detail.hit.zdb_id: 2018855-9
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  • 8
    Online Resource
    Online Resource
    Performance Analysis of Low Complexity Multiuser Scheduling Algorithms in MIMO System
    Trans Tech Publications, Ltd. ; 2013
    In:  Applied Mechanics and Materials Vol. 392 ( 2013-9), p. 867-871
    Details
    In: Applied Mechanics and Materials, Trans Tech Publications, Ltd., Vol. 392 ( 2013-9), p. 867-871
    Abstract: The total throughput of the communication system can be maximized by allocating the common radio resource to the user or the user group having the best channel quality at a given time and the multiuser diversity gain can be obtained when multiple users share the same channel at one time. The object to select the users is to select the users with the maximum sum capacity. As for a scheduling algorithm, exhaustive algorithm can get the largest capability of the system by multi-user scheduling. However, this algorithm is quite complex hence the cost of operation to a base station has substantial increased. We compare the multiuser performance of two fast user selection algorithms with low complexity in MIMO-MRC systems with co-channel interferences. From the simulation results, these two algorithms not only decrease the computational complexity of the scheduling algorithm but also retain large capability of the MIMO system.
    Type of Medium: Online Resource
    ISSN: 1662-7482
    URL: Issue
    URL: Article
    DOI: 10.4028/www.scientific.net/AMM.392
    DOI: 10.4028/www.scientific.net/AMM.392.867
    Language: Unknown
    Publisher: Trans Tech Publications, Ltd.
    Publication Date: 2013
    detail.hit.zdb_id: 2251882-4
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  • 9
    Online Resource
    Online Resource
    Sparse Data Driven Mesh Deformation
    Institute of Electrical and Electronics Engineers (IEEE) ; 2021
    In:  IEEE Transactions on Visualization and Computer Graphics Vol. 27, No. 3 ( 2021-3-1), p. 2085-2100
    Details
    In: IEEE Transactions on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers (IEEE), Vol. 27, No. 3 ( 2021-3-1), p. 2085-2100
    Type of Medium: Online Resource
    ISSN: 1077-2626 , 1941-0506 , 2160-9306
    URL: Journal
    URL: Article
    DOI: 10.1109/TVCG.2945
    DOI: 10.1109/TVCG.2019.2941200
    RVK:
    SQ 1100
    Language: Unknown
    Publisher: Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2021
    detail.hit.zdb_id: 2027333-2
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  • 10
    Online Resource
    Online Resource
    GAN-Based Multi-Style Photo Cartoonization
    Institute of Electrical and Electronics Engineers (IEEE) ; 2022
    In:  IEEE Transactions on Visualization and Computer Graphics Vol. 28, No. 10 ( 2022-10-1), p. 3376-3390
    Details
    In: IEEE Transactions on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers (IEEE), Vol. 28, No. 10 ( 2022-10-1), p. 3376-3390
    Type of Medium: Online Resource
    ISSN: 1077-2626 , 1941-0506 , 2160-9306
    URL: Article
    DOI: 10.1109/TVCG.2021.3067201
    RVK:
    SQ 1100
    Language: Unknown
    Publisher: Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2022
    detail.hit.zdb_id: 2027333-2
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