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Jinsong Su [5]Jing Jing Su [3]Jing Su [2]Jin-Tao Su [2]
Jingan Su [1]Jin Su [1]Jingkuan Su [1]
  1.  30
    Technology: A metaparadigm concept of nursing.Jonathan Bayuo, Hammoda Abu-Odah, Jing Jing Su & Lydia Aziato - 2023 - Nursing Inquiry 30 (4):e12592.
    Undoubtedly, technology continues to permeate the world at an unprecedented pace. The discipline of nursing is not alien to this phenomenon as nurses continue to employ various technological objects and applications in clinical practice, education, administration and research. Despite the centrality of technology in nursing, it has not been recognised as a metaparadigm domain of interest in the discipline of nursing. Thus, this paper sought to examine if technology truly reflected a metaparadigm domain using the four requirements posited by Fawcett. (...)
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  2.  5
    Defining compassionate nursing care.Jing Jing Su, Golden Mwakibo Masika, Jenniffer Torralba Paguio & Sharon R. Redding - 2020 - Nursing Ethics 27 (2):480-493.
    Background: Compassion has long been advocated as a fundamental element in nursing practice and education. However, defining and translating compassion into caring practice by nursing students who are new to the clinical practice environment as part of their educational journey remain unclear. Objectives: The aim of this study was to explore how Chinese baccalaureate nursing students define and characterize compassionate care as they participate in their clinical practice. Methods: A descriptive qualitative study design was used involving a semi-structured in-depth interview (...)
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  3.  30
    Enhanced aspect-based sentiment analysis models with progressive self-supervised attention learning.Jinsong Su, Jialong Tang, Hui Jiang, Ziyao Lu, Yubin Ge, Linfeng Song, Deyi Xiong & Jiebo le SunLuo - 2021 - Artificial Intelligence 296 (C):103477.
  4.  4
    A simple yet effective self-debiasing framework for transformer models.Xiaoyue Wang, Xin Liu, Lijie Wang, Suhang Wu, Jinsong Su & Hua Wu - 2025 - Artificial Intelligence 339 (C):104258.
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  5.  20
    Multi-modal graph contrastive encoding for neural machine translation.Yongjing Yin, Jiali Zeng, Jinsong Su, Chulun Zhou, Fandong Meng, Jie Zhou, Degen Huang & Jiebo Luo - 2023 - Artificial Intelligence 323 (C):103986.
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  6.  21
    Exploiting reverse target-side contexts for neural machine translation via asynchronous bidirectional decoding.Jinsong Su, Xiangwen Zhang, Qian Lin, Yue Qin, Junfeng Yao & Yang Liu - 2019 - Artificial Intelligence 277 (C):103168.
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  7.  11
    Providing compassionate care via eHealth.Jing Jing Su, Jonathan Bayuo, Rose S. Y. Lin, Ladislav Batalik, Xi Chen, Hammoda Abu-Odah & Engle Angela Chan - forthcoming - Nursing Ethics.
    Background eHealth was widely used during the COVID-19 pandemic. Much attention was given to the technical aspects of eHealth, such as infrastructure and cost, while the soft skill of compassion remained underexplored. The wide belief in compassionate care is more compatible with in-person interactions but difficult to deliver via e-platforms where personal and environmental clues were lacking urges studying this topic. Purpose to explore the experience of delivering compassionate care via an eHealth platform among healthcare professionals working to contain the (...)
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  8.  14
    Optimism and Mental Health of Minority Students: Moderating Effects of Cultural Adaptability.Yongyong Chen, Jing Su, Zirong Ren & Yongquan Huo - 2019 - Frontiers in Psychology 10.
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  9.  19
    An Extension of Testlet-Based Equating to the Polytomous Testlet Response Theory Model.Feifei Huang, Zhe Li, Ying Liu, Jingan Su, Li Yin & Minqiang Zhang - 2022 - Frontiers in Psychology 12.
    Educational assessments tests are often constructed using testlets because of the flexibility to test various aspects of the cognitive activities and broad content sampling. However, the violation of the local item independence assumption is inevitable when tests are built using testlet items. In this study, simulations are conducted to evaluate the performance of item response theory models and testlet response theory models for both the dichotomous and polytomous items in the context of equating tests composed of testlets. We also examine (...)
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  10.  22
    Relationship Between Proactive Personality and Job Performance of Chinese Nurses: The Mediating Role of Competency and Work Engagement.Xuehui Hu, Rong Zhao, Jing Gao, Jianzhen Li, Pei Yan, Xiaofei Yan, Shuai Shao, Jingkuan Su & Xiaokang Li - 2021 - Frontiers in Psychology 12.
    Background: As one of the main participants in health care, nurses are esteemed an important driving force for the vigorous health care development. Studies report that nurses’ proactive personality has positive effects on their job performance; however, this relationship acquires further understanding.Objective: A cross-sectional study was performed to explore the relationship between nurses’ proactive personality and job performance; the mediating role of nurses’ competency and work engagement in this relationship was also evaluated.Methods: The study was performed in a large third-degree (...)
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  11.  4
    Long li zhi fa: Xunzi mou lue zong heng.Yonghong Shen & Jing Su - 1997 - Beijing: Xin hua shu dian jing xiao. Edited by Jing Su.
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  12.  9
    Bu dui sui ji jiao yu 100 ke =.Jin Su & Chuanhong Liu (eds.) - 2011 - Jinan Shi: Huang He chu ban she.
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  13.  17
    An Analysis of the Economic Impact of US Presidential Elections Based on Principal Component and Logical Regression.Jing-Jing Wang, Yan Liang, Jin-Tao Su & Jia-Ming Zhu - 2021 - Complexity 2021:1-12.
    Economy is one of the major issues in the United States presidential election campaign. In order to investigate the impact of the US presidential election on the economy, this paper first constructs an analysis model of the economic impact on the United States based on stepwise regression and principal component analysis to analyze the focus of different candidates’ attention on the economic issues and its possible impact on the US economy in the election year and after the election; secondly, a (...)
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  14.  16
    Search-engine-augmented dialogue response generation with cheaply supervised query production.Ante Wang, Linfeng Song, Qi Liu, Haitao Mi, Longyue Wang, Zhaopeng Tu, Jinsong Su & Dong Yu - 2023 - Artificial Intelligence 319 (C):103874.
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  15.  18
    The Comprehensive Evaluation of the National Higher Education System Based on EWM and ARMA Models.Li-Jun Xu, Yan Liang, Jin-Tao Su, Tong Ouyang & Jia-Ming Zhu - 2021 - Complexity 2021:1-13.
    Different countries have different education systems and their advantages and disadvantages. It is necessary to optimize their own higher education system and formulate policy plans to fully realize the optimization of the higher education system. For this reason, we propose to establish a continuous evaluation model of higher education health. This study mainly uses principal component analysis and entropy weight method to determine the evaluation model of higher education health status and makes autoregressive moving average model time series analysis based (...)
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