Research indicates that the neurocognitive system representing nonsymbolic numerical magnitudes is foundational for the development of mathematical competence. However, recent studies found that the most common task used to measure numerical acuity, the nonsymbolic number comparison task, is heavily influenced by non-numerical visual parameters of stimuli that increase executive function demands. Further, this influence may be a confound invalidating theoretical accounts of the relation between number comparison performance and mathematical competence. Instead of acuity, the relation may depend on one's ability to attend to numerical information in the face of competing, non-numerical cues. The current study investigated this issue by measuring neural activity associated with numerical magnitude processing acuity, domain-general attention, and selective attention to number via functional magnetic resonance imaging while children 8-11 years old completed a nonsymbolic number comparison task and a flanker task. Results showed that activation in the right inferior frontal gyrus during incongruent versus congruent trials of the comparison task, our construct for attention to number, predicted mathematics achievement after controlling for verbal IQ, flanker accuracy rate, and the neural congruency effect from the flanker task. In contrast, activity in frontal and parietal regions responding to differences in difficulty of numerical comparisons, our construct for numerical magnitude processing acuity, did not correlate with achievement. Together, these findings suggest a need to reframe existing models of the relation between number processing and math competence to include the interaction between attention and use of numerical information, or in other words "attention to number."
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http://dx.doi.org/10.1002/hbm.24422 | DOI Listing |
Front Neurorobot
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College of Artificial Intelligence, Taiyuan University of Technology, Jinzhong, Shanxi, China.
Accurate building segmentation has become critical in various fields such as urban management, urban planning, mapping, and navigation. With the increasing diversity in the number, size, and shape of buildings, convolutional neural networks have been used to segment and extract buildings from such images, resulting in increased efficiency and utilization of image features. We propose a building semantic segmentation method to improve the traditional Unet convolutional neural network by integrating attention mechanism and boundary detection.
View Article and Find Full Text PDFIndian J Occup Environ Med
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Department of Occupational Medicine, Industrial Diseases Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
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Open Mind (Camb)
January 2025
Department of Neuroscience, Psychology, Pharmacology, and Child Health, University of Florence, Florence, Italy.
When objects are grouped in space, humans can estimate numerosity more precisely than when they are randomly scattered. This phenomenon, called groupitizing, is thought to arise from the interplay of two components: the subitizing system which identifies both the number of subgroups and of items within each group, and the possibility to perform basic arithmetic operations on the subitized groups. Here we directly investigate the relative role of these two components in groupitizing via an interference (dual task) paradigm.
View Article and Find Full Text PDFActa Naturae
January 2024
Higher School of Economics, Faculty of Biology and Biotechnology, Moscow, 101000 Russian Federation.
Dairy production facilities represent a unique ecological niche for bacteriophages of lactic acid bacteria. Throughout evolution, bacteria have developed a wide range of defense mechanisms against viral infections caused by bacteriophages. The CRISPR-Cas system is of particular interest due to its adaptive nature.
View Article and Find Full Text PDFJ Clin Nurs
January 2025
Hassan First University of Settat, Higher Institute of Health Sciences, Laboratory of Sciences and Health Technologies, Settat, Morocco.
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