Objective: To identify how nursing faculty perceive humanization at work; to describe the factors that enhance humanization and its implications on the health of nursing professors.
Method: This was a descriptive and exploratory study carried out at a Brazilian public university with 19 nursing professors who answered a semi-structured interview. Thematic analysis was used to process data, yielding three analytical categories.
Results: The faculty indicated that humanization at work and the factors that enhance it are associated with interpersonal relationships, including dialogue and respect in work relationships, positively impacting their health.
Final Considerations: The effective achievement humanization at work is a possibility that generates health and wellbeing for nursing faculty.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1590/0034-7167-2017-0855 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Evaluating and upgrading the performance of a bridge network structure with Rayleigh distribution lifetimes.
PLoS One
January 2025
Department of Mathematics, Aswan University, Faculty of Science, Aswan, Egypt.
In this work, bridge network model with Rayleigh distribution lifetimes is used. Two main techniques are calculated to upgrade this model: reduction and redundancy techniques. In order to compare the effectiveness of the various approaches, the survival function, the mean time to failure and gamma-fractiles for the original and upgraded model are calculated.
View Article and Find Full Text PDFDrivers of Palliative Care and Hospice Use Among Patients With Advanced Lung Cancer.
Cancer Med
January 2025
Population Health Science & Policy, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Purpose: Despite rigorous evidence of improved quality of life and longer survival, disparities in the utilization of palliative and hospice care persist for racial and ethnic minority patients with cancer. This study evaluated the impact of psychosocial factors on utilization of these services.
Methods: Patients with advanced lung cancer were recruited at a large academic urban hospital.
The role of beta band phase resetting in audio-visual temporal order judgment.
Cogn Neurodyn
December 2025
Department of Psychology, Graduate School of Humanities, Kobe University, 1-1 Rokkodai- cho, Nada, Kobe, 657-8501 Japan.
Unlabelled: The integration of auditory and visual stimuli is essential for effective language processing and social perception. The present study aimed to elucidate the mechanisms underlying audio-visual (A-V) integration by investigating the temporal dynamics of multisensory regions in the human brain. Specifically, we evaluated inter-trial coherence (ITC), a neural index indicative of phase resetting, through scalp electroencephalography (EEG) while participants performed a temporal-order judgment task that involved auditory (beep, A) and visual (flash, V) stimuli.
View Article and Find Full Text PDFEnhancing NiS performance: Na-doping for advanced photocatalytic and electrocatalytic applications.
Nanoscale
January 2025
CSIR - Central Institute of Mining and Fuel Research (CIMFR), Digwadih Campus, Dhanbad - 828108, Jharkhand, India.
Alkali metal doping is a new and promising approach to enhance the photo/electrocatalytic activity of NiS-based catalyst systems. This work investigates the impact of sodium on the structural, electronic, and catalytic properties of NiS. Comprehensive characterization techniques demonstrate that Na-doping causes significant changes in the NiS lattice and surface chemistry translating into a larger bandgap than NiS.
View Article and Find Full Text PDFMultiview attention networks for fine-grained watershed categorization via knowledge distillation.
PLoS One
January 2025
College of Landscape Architecture and Art, Jiangxi Agricultural University, Nanchang, China.
With the rapid development of artificial intelligence technology, an increasing number of village-related modeling problems have been addressed. However, first, the exploration of village-related watershed fine-grained classification problems, particularly the multi-view watershed fine-grained classification problem, has been hindered by dataset collection limitations; Second, village-related modeling networks typically employ convolutional modules for attentional modeling to extract salient features, yet they lack global attentional feature modeling capabilities; Lastly, the extensive number of parameters and significant computational demands render village-related watershed fine-grained classification networks infeasible for end-device deployment. To tackle these challenges, we introduce a multi-view attention mechanism designed for precise watershed classification, leveraging knowledge distillation techniques, abbreviated as MANet-KD.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!