Objectives: To assess changes in trainees' knowledge and application of Diversity, Equity, Inclusion, and Justice (DEIJ) concepts after participating in a midwestern academic medical center Leadership Education in Neurodevelopmental and Related Disabilities (LEND) program. LEND is a federally funded year-long program training individuals of various disciplines (e.g., speech pathology, family advocacy, psychology) to better support the health of individuals with disabilities.
Methods: Trainees ( = 46) answered questions about their knowledge and application of DEIJ topics before and after program participation in 2021-2022 and 2022-2023. Changes in trainees' responses were examined using paired-samples -tests.
Results: Thirty-six (78%) participants identified as White, 7 (15%) as Black, 2 (4%) as Asian, and 2 (4%) as more than one race. Three (7%) participants identified as Hispanic/Latino. Over the one-year program, trainees' perceived knowledge increased [(45) = 5.84, < .001, M = .59, = 0.86]. Regarding articulating definitions of DEIJ terms, trainees' summed scores following program participation also improved [(45) = 4.71, < .001, = 2.37, = 0.70]. However, their comfort with addressing prejudicial statements and discussing and combating "-isms" (application of DEIJ skills) did not increase [(45) = 1.74, = .09, = 0.17, Cohen's D = 0.26].
Conclusions For Practice: LEND program participation positively impacted trainees' perceived DEIJ knowledge and ability to define DEIJ terms. However, future refinements to the curriculum will be needed to improve trainees' application of skills and to develop a more nuanced understanding of equity, intersectionality, inclusion, and belonging.
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http://dx.doi.org/10.3389/fped.2024.1446852 | DOI Listing |
ACS Appl Mater Interfaces
December 2024
School of Materials Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
Magnetocaloric high-entropy alloys (HEAs) have recently garnered significant interest owing to their potential applications in magnetic refrigeration, offering a wide working temperature range and large refrigerant capacity. In this study, we thoroughly investigated the structural, magnetic, and magnetocaloric properties of equiatomic GdDyHoErTm HEAs. The as-cast alloy exhibits a single hexagonal phase, a randomly distributed grain orientation, and complex magnetism.
View Article and Find Full Text PDFAngew Chem Int Ed Engl
December 2024
Shenzhen University, Chemistry, Nanhai Ave 3688, 518060, Shenzhen, CHINA.
The high entropy alloy (HEA) possesses distinctive thermal stability and electronic characteristics, which exhibits substantial potential for diverse applications in electrocatalytic reactions. However, accurately controlling the size of HEA still remains a challenge, especially for the ultrasmall HEA nanoparticles. Herein, we firstly calculate and illustrate the size impact on the electronic structure of HEA and the adsorption energies of crucial intermediates in typical electrocatalytic reactions, such as the hydrogen evolution reaction (HER), oxygen reduction reaction (ORR), CO2 electroreduction (CO2RR) and NO3- electroreduction (NO3RR).
View Article and Find Full Text PDFAdv Sci (Weinh)
December 2024
Department of Biomedical Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
Digital PCR (dPCR) has transformed nucleic acid diagnostics by enabling the absolute quantification of rare mutations and target sequences. However, traditional dPCR detection methods, such as those involving flow cytometry and fluorescence imaging, may face challenges due to high costs, complexity, limited accuracy, and slow processing speeds. In this study, SAM-dPCR is introduced, a training-free open-source bioanalysis paradigm that offers swift and precise absolute quantification of biological samples.
View Article and Find Full Text PDFJ Med Eng Technol
December 2024
Department of Computer Engineering and Information Technology, Razi University, Kermanshah, Iran.
Nowadays, photoplethysmograph (PPG) technology is being used more often in smart devices and mobile phones due to advancements in information and communication technology in the health field, particularly in monitoring cardiac activities. Developing generative models to generate synthetic PPG signals requires overcoming challenges like data diversity and limited data available for training deep learning models. This paper proposes a generative model by adopting a genetic programming (GP) approach to generate increasingly diversified and accurate data using an initial PPG signal sample.
View Article and Find Full Text PDFHistopathology
December 2024
Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Aims: The hepatic perivascular epithelioid cell tumour (PEComa), including angiomyolipoma, exhibits diverse morphology and clinical behaviour; however, its prognostic features remain undefined. This study aimed to investigate its histological features and prognostic factors.
Methods And Results: In total, 132 patients were included.
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