In response to a shortage of clinical practice placements for pre-registration nurses and midwives, nursing faculties have been examining alternative ways to support students to develop their clinical skills, with simulation being one of the more popular methods. In a nursing context, simulation is often used to replicate a clinical setting, such as a hospital ward or the patient's home. Some universities have introduced clinical suites that enable replication of clinical environments and offer the use of human patient simulators to mimic patient-focused scenarios. This article describes a small informal review that aimed to identify how lecturers felt about simulation in one faculty using high-fidelity simulated scenarios to inform the development of a subsequent research study. The results indicate that although many staff use simulation and believe it is a beneficial approach to learning, many also lack confidence and do not feel sufficiently prepared in its use. Most participants felt that the development of a simulation module for lecturers would increase their confidence.
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http://dx.doi.org/10.7748/ns2011.08.25.49.35.c8651 | DOI Listing |
Nanotechnology
January 2025
Electronic Sci.&Eng., Xi'an Jiaotong University, 28 Xianning West Road,Beilin District, Xi 'an, Shaanxi Province, China, Xi'an, 710049, CHINA.
The accurate estimation of the temperature distribution of the GaN based power devices and optimization of the device structure is of great significance to possibly solve the self-heating problem, which hinders the further enhancement of the device performances. We present here the operando temperature measurement with high spatial resolution using Raman spectroscopy of AlGaN/GaN high electron mobility transistors (HEMTs) with different device structures and explore the optimization of the device thermal design accordingly. The lateral and depth temperature distributions of the single-finger HEMT were characterized.
View Article and Find Full Text PDFTraffic Inj Prev
January 2025
School of Civil and Hydraulic Engineering, NingXia University, YinChuan, China.
Objective: This study aims to address the issue of driving safety on highways in the desert region of Northwest China during extreme weather conditions such as sandstorms, with the goal of reducing driver risk. It explores driver behavior under extreme conditions of sandstorms and sand accumulation, proposing safety speed recommendations and warning models for different environments to calculate the optimal warning distance in windy and sandy conditions.
Methods: Natural driving simulation experiments were conducted in windy and sandy environments, collecting driving behavior data from 45 drivers under varying visibility and road conditions with or without sand accumulation.
Clin Infect Dis
January 2025
IQVIA Inc., Falls Church, VA.
Phytopathology
January 2025
University of Florida, Citrus Research and Education Center, Lake Alfred, Florida, United States.
Species of the complex cause postbloom fruit drop of citrus and anthracnose fruit rot of strawberries. produces acervuli in diseased citrus flowers and strawberry fruit, surviving asymptomatically on vegetative tissues. Previous studies have suggested that dispersal mechanisms other than windblown rain may be involved in dispersal of conidia of sensu lato.
View Article and Find Full Text PDFBrief Bioinform
November 2024
Center for Artificial Intelligence Research, Wake Forest University School of Medicine, Winston-Salem, NC 27101, United States.
Pathway analysis plays a critical role in bioinformatics, enabling researchers to identify biological pathways associated with various conditions by analyzing gene expression data. However, the rise of large, multi-center datasets has highlighted limitations in traditional methods like Over-Representation Analysis (ORA) and Functional Class Scoring (FCS), which struggle with low signal-to-noise ratios (SNR) and large sample sizes. To tackle these challenges, we use a deep learning-based classification method, Gene PointNet, and a novel $P$-value computation approach leveraging the confusion matrix to address pathway analysis tasks.
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