These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

130 related articles for article (PubMed ID: 36146406)

  • 1. Exploring Use Acceptance of Electric Bicycle-Sharing Systems: An Empirical Study Based on PLS-SEM Analysis.
    Pan L; Xia Y; Xing L; Song Z; Xu Y
    Sensors (Basel); 2022 Sep; 22(18):. PubMed ID: 36146406
    [TBL] [Abstract][Full Text] [Related]  

  • 2. The role of service quality and perceived behavioral control in shared electric bicycle in China: Does residual effects of past behavior matters?
    Li L; Zhu B; Jiang M; Cai X; Lau AKW; Shin GC
    Environ Sci Pollut Res Int; 2020 Jul; 27(19):24518-24530. PubMed ID: 32306269
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Intention to adopt bicycle-sharing in China: introducing environmental concern into the theory of planned behavior model.
    Zhu M; Hu X; Lin Z; Li J; Wang S; Wang C
    Environ Sci Pollut Res Int; 2020 Nov; 27(33):41740-41750. PubMed ID: 32691322
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Users' acceptance of electronic patient portals in Lebanon.
    Honein-AbouHaidar GN; Antoun J; Badr K; Hlais S; Nazaretian H
    BMC Med Inform Decis Mak; 2020 Feb; 20(1):31. PubMed ID: 32066425
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Enhancing consumption of sustainable transportation: Determinants and outcome of consumer engagement with bike-sharing service.
    Waqas M; Najmi A
    Environ Sci Pollut Res Int; 2023 Apr; 30(18):53411-53423. PubMed ID: 36856997
    [TBL] [Abstract][Full Text] [Related]  

  • 6. An extension of the technology acceptance model for understanding travelers' adoption of variable message signs.
    Diop EB; Zhao S; Duy TV
    PLoS One; 2019; 14(4):e0216007. PubMed ID: 31022277
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Augmenting the technology acceptance model with trust model for the initial adoption of a blockchain-based system.
    Shrestha AK; Vassileva J; Joshi S; Just J
    PeerJ Comput Sci; 2021; 7():e502. PubMed ID: 34084922
    [TBL] [Abstract][Full Text] [Related]  

  • 8. How to improve users' intentions to continued usage of shared bicycles: A mixed method approach.
    Zhanyou W; Dongmei H; Yaopei Z
    PLoS One; 2020; 15(2):e0229458. PubMed ID: 32092120
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Psychosocial factors influencing shared bicycle travel choices among Chinese: An application of theory planned behavior.
    Xin Z; Liang M; Zhanyou W; Hua X
    PLoS One; 2019; 14(1):e0210964. PubMed ID: 30682066
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A longitudinal examination of tablet self-management technology acceptance by patients with chronic diseases: Integrating perceived hand function, perceived visual function, and perceived home space adequacy with the TAM and TPB.
    Liu K; Or CK; So M; Cheung B; Chan B; Tiwari A; Tan J
    Appl Ergon; 2022 Apr; 100():103667. PubMed ID: 34920356
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Understanding the intention to use bike-sharing system: A case study in Xi'an, China.
    Zhang X; Wang J; Long X; Li W
    PLoS One; 2021; 16(12):e0258790. PubMed ID: 34855753
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Usability and acceptance of crowd-based early warning of harmful algal blooms.
    Manik LP; Albasri H; Puspasari R; Yaman A; Al Hakim S; Siagian AHAM; Kushadiani SK; Riyanto S; Setiawan FA; Thesiana L; Jabbar MA; Saville R; Wada M
    PeerJ; 2023; 11():e14923. PubMed ID: 36879908
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Exploring critical factors influencing nurses' intention to use tablet PC in Patients' care using an integrated theoretical model.
    Sun SL; Hwang HG; Dutta B; Peng MH
    Libyan J Med; 2019 Dec; 14(1):1648963. PubMed ID: 31357919
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Ride or Not to Ride: Does the Customer Deviate toward Ridesharing?
    Shamim A; Khan AA; Qureshi MA; Rafique H; Akhunzada A
    Int J Environ Res Public Health; 2021 Oct; 18(19):. PubMed ID: 34639652
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Factors influencing users' willingness to use new energy vehicles.
    Pang J; Ye J; Zhang X
    PLoS One; 2023; 18(5):e0285815. PubMed ID: 37200311
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Predicting Autonomous Shuttle Acceptance in Older Drivers Based on Technology Readiness/Use/Barriers, Life Space, Driving Habits, and Cognition.
    Classen S; Mason JR; Hwangbo SW; Sisiopiku V
    Front Neurol; 2021; 12():798762. PubMed ID: 34925223
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Predictive factors of telemedicine service acceptance and behavioral intention of physicians.
    Rho MJ; Choi IY; Lee J
    Int J Med Inform; 2014 Aug; 83(8):559-71. PubMed ID: 24961820
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Exploring short video apps users' travel behavior intention: Empirical analysis based on SVA-TAM model.
    Wang C; Cui W; Zhang Y; Shen H
    Front Psychol; 2022; 13():912177. PubMed ID: 35936296
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Understanding Agri-Food Traceability System User Intention in Respond to COVID-19 Pandemic: The Comparisons of Three Models.
    Tseng Y; Lee B; Chen C; He W
    Int J Environ Res Public Health; 2022 Jan; 19(3):. PubMed ID: 35162414
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Increasing Bike-Sharing Users' Willingness to Pay - A Study of China Based on Perceived Value Theory and Structural Equation Model.
    Song H; Yin G; Wan X; Guo M; Xie Z; Gu J
    Front Psychol; 2021; 12():747462. PubMed ID: 35115981
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.