Jigsaw puzzles are ubiquitous developmental toys in Western societies, used here to examine the development of metarepresentation. For jigsaw puzzles this entails understanding that individual pieces, when assembled, produce a picture. In Experiment 1, 3- to 5-year-olds (N = 117) completed jigsaw puzzles that were normal, had no picture, or comprised noninterlocking rectangular pieces. Pictorial puzzle completion was associated with mental and graphical metarepresentational task performance. Guide pictures of completed pictorial puzzles were not useful. In Experiment 2, 3- to 4-year-olds (N = 52) completed a simplified task, to choose the correct final piece. Guide-use associated with age and specifically graphical metarepresentation performance. We conclude that the pragmatically natural measure of jigsaw puzzle completion ability demonstrates general and pictorial metarepresentational development at 4 years.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1111/cdev.13391 | DOI Listing |
Ann Plast Surg
December 2024
Department of Biomedical Engineering, Taipei Veterans General Hospital, Taipei, Taiwan.
Background: Surgical treatment of comminuted and multiple facial fractures is challenging, as identifying the bone anatomy and restoring the alignment are complicated. To overcome the difficulties, 3D-printed "jigsaw puzzle" has been innovated to improve the surgical outcome. This study aimed to demonstrate the feasibility of 3D-printed model in facial fracture restoration procedures.
View Article and Find Full Text PDFRadiol Phys Technol
January 2025
Department of Diagnostic Imaging, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.
Przegl Epidemiol
December 2024
Department of Public Health Dentistry, KLE VK Institute of Dental Sciences, KLE Academy of Higher Education and Research (KLE University), India.
Environ Monit Assess
December 2024
Department of Chemistry, Easwari Engineering College, Chennai, Tamil Nadu, India.
Commun Inf Syst
October 2024
Dalton Cardiovascular Research Center, University of Missouri-Columbia.
Molecular docking stands as a pivotal element in the realm of computer-aided drug design (CADD), consistently contributing to advancements in pharmaceutical research. In essence, it employs computer algorithms to identify the "best" match between two molecules, akin to solving intricate three-dimensional jigsaw puzzles. At a more stringent level, the molecular docking challenge entails predicting the accurate bound association state based on the atomic coordinates of two molecules.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!