Objective: To understand the meaning of the Learning Incubator as a teaching and learning technology in the nursing area.
Method: Qualitative research, supported by grounded theory. Data was collected from March to November 2019, through interviews with guiding questions and hypotheses directed at two different groups. The analysis was done by comparative data analysis and included open, axial and integrated coding, as proposed by the method. The theoretical sample included 23 participants, which were nurses, technicians, and nursing students.
Results: The delimitation of the categories converged in the phenomenon (Re)signifying knowledge and practices in the Learning Incubator. Guided by the paradigmatic model, the categories were named according to the three following components: Condition: Recognizing that the being and the professional practice are inextricable; Action/interaction: Revisiting professional practices that are repetitive and mechanic; Consequence: Referring to the reflections and knowledge constructed in the Learning Incubator.
Conclusion: The Learning Incubator, as seen by the study participants, is not limited to the Incubator meetings or the themes addressed in it. Beyond a welcoming physical space, the Incubator expands itself and becomes a tool that promotes self-reflection and self-assessment of professional behaviors and attitudes.
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http://dx.doi.org/10.1590/1980-220X-REEUSP-2020-0048 | DOI Listing |
J Hazard Mater
January 2025
School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai 200093, China.
The bioaccessibility of cadmium (Cd) and lead (Pb) in the gastrointestinal tract is crucial for health risk assessments of contaminated soils. However, variability in In vitro analytical conditions and soil properties introduces bias and uncertainty in predictions. This study employed three in vitro methods to measure Cd and Pb bioaccessibility during the gastric and gastrointestinal phases, using soil samples incubated for one year.
View Article and Find Full Text PDFGeroscience
January 2025
Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.
With the development of deep learning (DL) techniques, there has been a successful application of this approach to determine biological age from latent information contained in retinal images. Retinal age gap (RAG) defined as the difference between chronological age and predicted retinal age has been established previously to predict the age-related disease. In this study, we performed discovery genome-wide association analysis (GWAS) on the RAG using the 31,271 UK Biobank participants and replicated our findings in 8034 GoDARTS participants.
View Article and Find Full Text PDFBiosensors (Basel)
November 2024
Institute of Biomedical Engineering, College of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, Hsinchu 300093, Taiwan.
Organ-on-a-chip (OOC) devices mimic human organs, which can be used for many different applications, including drug development, environmental toxicology, disease models, and physiological assessment. Image data acquisition and analysis from these chips are crucial for advancing research in the field. In this study, we propose a label-free morphology imaging platform compatible with the small airway-on-a-chip system.
View Article and Find Full Text PDFMicrobiome
December 2024
MOE Key Laboratory of Bio-Intelligent Manufacturing, School of Bioengineering, Dalian University of Technology, Dalian, Liaoning, 116024, China.
Lancet Digit Health
January 2025
University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK; National Institute for Health and Care Research (NIHR) Birmingham Biomedical Research Centre, Birmingham, UK; Centre for Patient Reported Outcomes Research, School of Health Sciences, College of Medical and Dental Sciences, Birmingham, UK; University of Birmingham, Birmingham, UK. Electronic address:
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