We report two experiments suggesting that development of rule use in children can be predicted by applying metrics of complexity from studies of rule-based category learning in adults. In Experiment 1, 124 3- to 5-year-olds completed three new rule-use tasks. The tasks featured similar instructions but varied in the complexity of the rule structures that could be abstracted from the instructions. This measure of complexity predicted children's difficulty with the tasks. Children also completed a version of the Advanced Dimensional Change Card Sorting task. Although this task featured quite different instructions from those in our "complex" task, performance on these two tasks was correlated, as predicted by the rule-based category approach. Experiment 2 predicted findings of the relative difficulty of the three new tasks in 36 5-year-olds and also showed that response times varied with rule structure complexity. Together, these findings suggest that children's rule use depends on processes also involved in rule-based category learning. The findings likewise suggest that the development of rule use during childhood is protracted, and the findings bolster claims that some of children's difficulty in rule use stems from limits in their ability to represent complex rule structures.
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http://dx.doi.org/10.1016/j.jecp.2014.10.008 | DOI Listing |
Sci Rep
December 2024
School of Computer Science and Information Engineering, Harbin Normal University, Harbin, 150025, China.
Accurately identifying bearing faults in aeroengines is crucial for maintaining their lifespan and cost. However, most current models are black-box models, such as deep learning models such as deep neural networks. The decision-making process of these models is more complex and lacks interpretability, which results in insufficient credibility of the results.
View Article and Find Full Text PDFJAMIA Open
December 2024
University of Massachusetts Chan Medical School, Departments of Medicine, Worcester, MA 01655, United States.
Objectives: Many routine patient care items should be reviewed at least daily for intensive care unit (ICU) patients. These items are often incompletely performed, and dynamic clinical decision support tools (CDSTs) may improve attention to these daily items. We sought to evaluate the accuracy of institutionalized electronic health record (EHR) based custom dynamic CDST to support 22 ICU rounding quality metrics across 7 categories (hypoglycemia, venothromboembolism prophylaxis, stress ulcer prophylaxis, mechanical ventilation, sedation, nutrition, and catheter removal).
View Article and Find Full Text PDFCogn Affect Behav Neurosci
December 2024
Psychology and Cellular and Behavioral Neurobiology, The University of Oklahoma, 201 Stephenson Parkway, Suite 4100, Norman, OK, 73019, USA.
Iron deficiency (ID) is the most prevalent nutrient deficiency in the world, with a growing literature documenting the negative effects of ID on perception, attention, and memory. Animal models of ID suggest that dysregulation of dopamine is responsible for the deficits in memory. However, evidence that ID affects dopamine in humans is extremely limited.
View Article and Find Full Text PDFInsights Imaging
October 2024
Department of Radiology, LMU University Hospital, LMU Munich, Munich, Germany.
Objectives: In this multi-center study, we proposed a structured reporting (SR) framework for non-small cell lung cancer (NSCLC) and developed a software-assisted tool to automatically translate image-based findings and annotations into TNM classifications. The aim of this study was to validate the software-assisted SR tool for NSCLC, assess its potential clinical impact in a proof-of-concept study, and evaluate current reporting standards in participating institutions.
Methods: A framework for SR and staging of NSCLC was developed in a multi-center collaboration.
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