After the onset of formal schooling, little is known about the development of children's understanding of the arithmetic concepts of inversion and associativity. On problems of the form a+b-b (e.g., 3+26-26), if children understand the inversion concept (i.e., that addition and subtraction are inverse operations), then no calculations are needed to solve the problem. On problems of the form a+b-c (e.g., 3+27-23), if children understand the associativity concept (i.e., that the addition and subtraction can be solved in any order), then the second part of the problem can be solved first. Children in Grades 2, 3, and 4 solved both types of problems and then were given a demonstration of how to apply both concepts. Approval of each concept and preference of a conceptual approach versus an algorithmic approach were measured. Few grade differences were found on either task. Conceptual understanding was greater for inversion than for associativity on both tasks. Clusters of participants in all grades showed that some had strong understanding of both concepts, some had strong understanding of the inversion concept only, and others had weak understanding of both concepts. The findings highlight the lack of developmental increases and the large individual differences in conceptual understanding on two arithmetic concepts during the early school years.
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http://dx.doi.org/10.1016/j.jecp.2008.12.002 | DOI Listing |
Cureus
December 2024
Neurology, Seirei Hamamatsu General Hospital, Hamamatsu, JPN.
Introduction Whole-body computed tomography angiography (CTA) may be useful during cerebral angiography and endovascular treatment (EVT), and identification of thrombi and malignant trunk tumors may be helpful in stroke typing and acute stroke care. Therefore, we aimed to assess the types and prevalence of incidental findings on whole-body CTA in this patient population. Methods This single-center, retrospective, observational study included consecutive patients with suspected acute stroke who underwent whole-body CTA in addition to brain CTA between April 2020 and August 2023.
View Article and Find Full Text PDFAnal Chim Acta
March 2025
Artificial Intelligence Research Center, Chang Gung University, Taoyuan, 333323, Taiwan; Department of Artificial Intelligence, College of Intelligent Computing, Chang Gung University, Taoyuan, 333323, Taiwan. Electronic address:
Background: In recent years, employing deep learning methods in the biosensing area has significantly reduced data analysis time and enhanced data interpretation and prediction accuracy. In some SPR fields, research teams have further enhanced detection capabilities using deep learning techniques. However, the application of deep learning to spectroscopic surface plasmon resonance (SPR) biosensors has not been reported.
View Article and Find Full Text PDFAcross the scientific realm, we find ourselves subtracting or dividing stochastic signals. For instance, consider a stochastic realization, $x$, generated from the addition or multiplication of two stochastic signals $a$ and $b$, namely $x=a+b$ or $x = ab$. For the $x=a+b$ example, $a$ can be fluorescence background and $b$ the signal of interest whose statistics are to be learned from the measured $x$.
View Article and Find Full Text PDFCureus
December 2024
Vascular Neurosurgery, National Institute of Neurology and Neurosurgery, Mexico City, MEX.
The bifurcation of the middle cerebral artery (MCA) is one of the most common sites for the formation of cerebral aneurysms, presenting significant challenges for surgical management. A primary concern in this area is the recurrence of aneurysms following surgical clipping, which necessitates a thorough investigation of the contributing factors. This study examined all cases of rebleeding from previously clipped MCA aneurysms among 195 surgically treated patients over an 11-year period.
View Article and Find Full Text PDFJ Cardiovasc Magn Reson
January 2025
Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA. Electronic address:
Background: Four-dimensional (4D) flow cardiovascular magnetic resonance (CMR) shows promise for quantifying mitral regurgitation (MR) by allowing for direct regurgitant volume (RVol) measurement using a plane precisely placed at the MR jet. However, the ideal location of a measurement plane remains unclear. This study aims to systematically examine how varying measurement locations affect RVol quantification and determine the optimal location using the momentum conservation principle of a free jet.
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