: High-fidelity simulation is being considered as a suitable environment for imparting the skills needed to deal with end-of-life (EOL) situations. The objective was to evaluate an EOL simulation project that introduced communication skills to nursing students who had not yet begun their training in real healthcare environments. : A sequential approach was used. The "questionnaire for the evaluation of the end-of-life project" was employed. : A total of 130 students participated. Increasing the time spent in high-fidelity simulation significantly favored the exploration of feelings and fears regarding EOL (t = -2.37, = 0.019), encouraged dialogue (t = -2.23, = 0.028) and increased the acquisition of communication skills (t = -2.32, = 0.022). : High-fidelity simulation promotes communication skills related to EOL in novice nursing students.
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http://dx.doi.org/10.3390/healthcare8030238 | DOI Listing |
IEEE Trans Pattern Anal Mach Intell
March 2025
The advancement of 4D (i.e., sequential 3D) generation opens up new possibilities for lifelike experiences in various applications, where users can explore dynamic objects or characters from any viewpoint.
View Article and Find Full Text PDFReal camera footage is subject to noise, motion blur (MB) and depth of field (DoF). In some applications these might be considered distortions to be removed, but in others it is important to model them because it would be ineffective, or interfere with an aesthetic choice, to simply remove them. In augmented reality applications where virtual content is composed into a live video feed, we can model noise, MB and DoF to make the virtual content visually consistent with the video.
View Article and Find Full Text PDFUnlabelled: The "holy grail" of chromatin research would be to follow the chromatin configuration in individual live cells over time. One way to achieve this goal would be to track the positions of multiple loci arranged along the chromatin polymer with fluorescent labels. Use of distinguishable labels would define each locus uniquely in a microscopic image but would restrict the number of loci that could be observed simultaneously, because of experimental limits to the number of distinguishable labels.
View Article and Find Full Text PDFMed Eng Phys
March 2025
School of Textiles and Fashion, Shanghai University of Engineering Science, Shanghai 201600, PR China. Electronic address:
This paper endeavors to enhance the control mechanisms governing the grasping strategy of exoskeleton data gloves. A comprehensive approach was devised, integrating finite element numerical simulation techniques with the computerized control system of exoskeleton data gloves, establishing a novel, precise, and three-dimensional biomechanical finite element model of the hand. By amalgamating finite element modeling technology, biomechanical understanding, and hand kinematics, a straightforward yet efficient virtual grasping methodology was introduced to replicate three typical grasping actions dynamically.
View Article and Find Full Text PDFSci Rep
March 2025
Department of Computer Science, Virginia Commonwealth University, Richmond, Virginia, 23284, USA.
Physics-informed machine learning bridges the gap between the high fidelity of mechanistic models and the adaptive insights of artificial intelligence. In chemical reaction network modeling, this synergy proves valuable, addressing the high computational costs of detailed mechanistic models while leveraging the predictive power of machine learning. This study applies this fusion to the biomedical challenge of Aβ fibril aggregation, a key factor in Alzheimer's disease.
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