Background And Purpose: Individualized assessment of students in skills-based courses is essential for practice readiness, however recruiting evaluators is challenging. Our school of pharmacy offers a teaching certificate program for postgraduate year one pharmacy residents (PGY1 residents; PGY1s) which requires completion of a teaching experience. The longitudinal layered learning assessment experience (LLLAE) was designed to meet instructional needs for individualized assessment of first-year pharmacy students' communication skills and provide a meaningful teaching opportunity for PGY1s. This manuscript describes the implementation and evaluates the impact of the LLLAE.
Educational Activity And Setting: PGY1s were invited to participate in the yearlong LLLAE. Faculty developed PGY1s' skills through training sessions, direct observation, and debrief sessions. PGY1s evaluated students and provided feedback using pre-defined criteria during 3 summative assessments (capstones). Capstones were common pharmacy practice scenarios in which students interact with an actor serving as a standardized patient or provider. PGY1s completed an end-of-year survey to self-rate their improvement in evaluating students, providing feedback, and confidence.
Findings: Twenty-two PGY1s participated in the LLLAE over 2 years. They evaluated 73.2% of total capstone interactions. The end-of-year survey was completed by 20 PGY1s (90.9% response rate). All respondents indicated improvement in their skills to evaluate students, ability to provide feedback, and confidence. Scores were 4 or 5 (scale of 1 to 5) across all measures. Key contributors fostering improvement were the training and debrief sessions, faculty feedback, pre-defined criteria, and multiple practice opportunities.
Summary: This novel layered learning approach was a win-win for faculty and PGY1s. The approach improved feasibility for faculty to continue individualized student assessment while mentoring early career pharmacists. PGY1s gained an opportunity to contribute to student growth, learn from experienced faculty, and develop skills for practice. Additionally, students benefited from individualized feedback.
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http://dx.doi.org/10.1016/j.cptl.2024.102111 | DOI Listing |
BMC Genomics
December 2024
College of Physics and Electronic Information, Gannan Normal University, Ganzhou, 341000, Jiangxi, China.
Long non-coding RNAs (lncRNAs) play crucial roles in numerous biological processes and are involved in complex human diseases through interactions with proteins. Accurate identification of lncRNA-protein interactions (LPI) can help elucidate the functional mechanisms of lncRNAs and provide scientific insights into the molecular mechanisms underlying related diseases. While many sequence-based methods have been developed to predict LPIs, efficiently extracting and effectively integrating potential feature information that reflects functional attributes from lncRNA and protein sequences remains a significant challenge.
View Article and Find Full Text PDFComput Biol Med
December 2024
Khalifa University, Abu Dhabi, United Arab Emirates.
Background And Objective: Accurate extraction of retinal vascular components is vital in diagnosing and treating retinal diseases. Achieving precise segmentation of retinal blood vessels is challenging due to their complex structure and overlapping vessels with other anatomical features. Existing deep neural networks often suffer from false positives at vessel branches or missing fragile vessel patterns.
View Article and Find Full Text PDFBiodegradation
December 2024
Department of Civil engineering, Islamic Azad university, Mashhad Branch, Iran.
The widespread use of pesticides, including diazinon, poses an increased risk of environmental pollution and detrimental effects on biodiversity, food security, and water resources. In this study, we investigated the impact of Potentially Toxic Elements (PTE) including Zn, Cd, V, and Mn on the degradation of diazinon in three different soils. We investigated the capability and performance of four machine learning models to predict residual pesticide concentration, including adaptive neuro-fuzzy inference system (ANFIS), support vector regression (SVR), radial basis function (RBF), and multi-layer perceptron (MLP).
View Article and Find Full Text PDFACS Appl Mater Interfaces
December 2024
TCS Research, Sahyadri Park 2, Rajiv Gandhi Infotech Park, Hinjewadi Phase 3, Pune 411057, India.
Realization of a sustainable hydrogen economy in the future requires the development of efficient and cost-effective catalysts for its production at scale. MXenes (MX) are a class of 2D materials with 'n' layers of carbon or nitrogen (X) interleaved by 'n+1' layers of transition metal (M) and have emerged as promising materials for various applications including catalysts for hydrogen evolution reaction (HER). Their properties are intimately related to both their composition and their atomic structure.
View Article and Find Full Text PDFActa Ophthalmol
December 2024
Department of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.
Purpose: The relationship between retinal morphology, as assessed by optical coherence tomography (OCT), and retinal function in microperimetry (MP) has not been well studied, despite its increasing importance as an essential functional endpoint for clinical trials and emerging therapies in retinal diseases. Normative databases of healthy ageing eyes are largely missing from literature.
Methods: Healthy subjects above 50 years were examined using two MP devices, MP-3 (NIDEK) and MAIA (iCare).
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