Aim: The relationship between nursing students' attitudes toward artificial intelligence and their creative personality traits was examined in this study.
Design: This study, conducted with 492 nursing students enrolled at a university in Turkey, was designed using a descriptive and relational methodology. The data were gathered through the "Personal Information Form," the "General Attitude Scale toward Artificial Intelligence," and the "Creative Personality Traits Scale."
Methods: The data for the research were gathered from surveys conducted between January 2024 and May 2024.
Findings: The average score for students' attitudes toward artificial intelligence was 74.52 ± 10.29, while the score for creative personality traits was 67.20 ± 10.34. Correlation analysis results indicate a strong relationship between these two factors (p < 0.05).
Conclusions: Nursing students' attitudes toward artificial intelligence and creative personality traits are above average.
Implications For Nursing And Health Policy: The development of creativity is crucial for effectively integrating artificial intelligence technologies into nursing practice. Additionally, this research highlights the need for policy development regarding regulations and ethical practices related to using artificial intelligence in healthcare services.
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http://dx.doi.org/10.1111/inr.70008 | DOI Listing |
Sci Adv
March 2025
College of Computer Science and Technology, Zhejiang University, Hangzhou, China.
Brain age gap (BAG), the deviation between estimated brain age and chronological age, is a promising marker of brain health. However, the genetic architecture and reliable targets for brain aging remains poorly understood. In this study, we estimate magnetic resonance imaging (MRI)-based brain age using deep learning models trained on the UK Biobank and validated with three external datasets.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
March 2025
Padova Neuroscience Center, University of Padova, Padova 35131, Italy.
Resting brain activity, in the absence of explicit tasks, appears as distributed spatiotemporal patterns that reflect structural connectivity and correlate with behavioral traits. However, its role in shaping behavior remains unclear. Recent evidence shows that resting-state spatial patterns not only align with task-evoked topographies but also encode distinct visual (e.
View Article and Find Full Text PDFOmega (Westport)
March 2025
Erasmus Happiness Economics Research Organization, Erasmus University Rotterdam, Rotterdam, The Netherlands; Faculty of Economics, University of Johannesburg, Johannesburg, South Africa; Faculty of Management, Open University of the Netherlands, Heerlen, the Netherlands.
Can narcissism help foster resiliency against adversity? In this study, we used Turkish panel data, to examine whether narcissism can buffer the negative impact of personal loss on change in subjective well-being in the wake of the Türkiye-Syria earthquakes of 2023. Results show that the adaptation to personal loss was stronger for individuals high on narcissism. At the same time, we found no evidence that individuals high on Machiavellianism or psychopathy - other Dark Triad traits - were better able to adapt to personal loss.
View Article and Find Full Text PDFIEEE Trans Vis Comput Graph
March 2025
Previous studies introduced an avatar body control sharing system known as "virtual co-embodiment," where control over bodily movements and external events, or agency, of a single avatar is shared among multiple individuals. However, how this virtual co-embodiment experience influences users' perception of agency, both explicitly and implicitly, and the extent to which they are willing to take responsibility for successful or failed outcomes, remains an imminent problem. In this research, we addressed this issue using: (1) explicit agency questionnaires, (2) implicit intentional binding (IB) effect, (3) responsibility attribution measured through financial gain/loss distribution, and (4) interview to evaluate this experience where agency over the right hand's fingers was fully transferred to a human partner.
View Article and Find Full Text PDFJAMA Netw Open
March 2025
Department of Epidemiology, University of North Carolina at Chapel Hill.
Importance: Numerous efforts have been made to include diverse populations in genetic studies, but American Indian populations are still severely underrepresented. Polygenic scores derived from genetic data have been proposed in clinical care, but how polygenic scores perform in American Indian individuals and whether they can predict disease risk in this population remains unknown.
Objective: To study the performance of polygenic scores for cardiometabolic risk factors of lipid traits and C-reactive protein in American Indian adults and to determine whether such scores are helpful in clinical prediction for cardiometabolic diseases.
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