The Exam Analysis is a diagnostic and prescriptive program in which a student and an instructor identify why the student failed to answer specific questions correctly on an examination. Problems related to incorrect answers are then categorized into five problem areas. This analysis is used to develop a plan which will help the student utilize specific skills in order to improve examination performance. This article describes the Exam Analysis program, gives specific information which will enable an instructor to assist a student in completing an Exam Analysis, and discusses the results of a survey in which 105 nursing students evaluated the impact of participating in the program on subsequent examination performance. A large majority of the students surveyed agreed that participation in the Exam Analysis program resulted in improved examination performance. Improved exam-taking skills, better study skills, decreased test anxiety and increased self-confidence were identified as Exam Analysis program outcomes by the students included in the study.
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http://dx.doi.org/10.3928/0148-4834-19950901-05 | DOI Listing |
Noise Health
January 2025
Department of Internal Medicine, Faculty of Medicine, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Background: The effect of background noise on auscultation accuracy for different lung sound classes under standardised conditions, especially at lower to medium levels, remains largely unexplored. This article aims to evaluate the impact of three levels of Gaussian white noise (GWN) on the ability to identify three classes of lung sounds.
Methods And Materials: A pre-post pilot study assessing the impact of GWN on a group of students' ability to identify lung sounds was conducted.
PLoS One
January 2025
Clinic for Orthopaedics, Heidelberg University Hospital, Heidelberg, Germany.
Duchenne gait, characterized by an ipsilateral trunk lean towards the affected stance limb, compensates for weak hip abductor muscles, notably the gluteus medius (GM). This study aims to investigate how electromyographic (EMG) cluster analysis of GM contributes to a better understanding of Duchenne gait in patients with cerebral palsy (CP). We analyzed retrospective gait data from 845 patients with CP and 65 typically developed individuals.
View Article and Find Full Text PDFBreast Cancer Res Treat
January 2025
Massachusetts General Hospital, 55 Fruit St, WAC 240, Boston, MA, 02114, USA.
Purpose: Traditional computer-assisted detection (CADe) algorithms were developed for 2D mammography, while modern artificial intelligence (AI) algorithms can be applied to 2D mammography and/or digital breast tomosynthesis (DBT). The objective is to compare the performance of a traditional machine learning CADe algorithm for synthetic 2D mammography to a deep learning-based AI algorithm for DBT on the same mammograms.
Methods: Mammographic examinations from 764 patients (mean age 58 years ± 11) with 106 biopsy-proven cancers and 658 cancer-negative cases were analyzed by a CADe algorithm (ImageChecker v10.
Background: People with Down syndrome (DS) are genetically at-risk for Alzheimer's disease (AD). The age of symptomatic AD in DS varies (late-40s-70s). Lifestyle factors are theorized to explain some of this variability.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Science Center, San Antonio, TX, USA.
Background: Disrupted sleep patterns have been shown to exacerbate Alzheimer's disease (AD) risk, potentially because of sleep's role in memory consolidation and synaptic plasticity. Recent evidence highlights that high brain-derived neurotrophic factor (BDNF) levels, a protein enabling neuroplasticity and memory functions, could play a protective role in age related cognitive impairment. We examined the association between total sleep time and cognition, and BDNF levels as a potential modifier.
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