A fundamental goal in the study of human cognition is to understand the transfer of knowledge. This goes hand-in-hand with the translational goal of promoting such transfer via instructional techniques. Despite a rich history of research using the analogical problem-solving paradigm, no study activity has been found to produce a robust rate of successful spontaneous transfer-even when the test is immediate. We propose the category status hypothesis as an explanation of the difficulty of transfer and as motivation for a novel approach to promoting transfer. We report a set of experiments evaluating a category construction technique based on a sorting task. In Experiment 1a, we found category construction to be significantly more effective than the "gold standard" of schema abstraction through comparison of 2 analogous cases. In Experiment 1b, we explored a variation of the category construction technique that did not reliably differ in effectiveness from comparison-based schema abstraction-we also verified that both study tasks were superior to a baseline task of separate summarization of 2 cases. In Experiment 2, we conducted a replication of the initial design with higher power and confirmed the significant advantage for category construction over schema abstraction via comparison. In Experiment 3, we compared category construction to an information-consistent reading comprehension control to evaluate competing interpretations of the category construction advantage found in Experiments 1 and 2. We discuss theoretical and applied implications of these findings. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
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Sensors (Basel)
January 2025
Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, Jiangxi Normal University, Nanchang 330022, China.
Bird species detection is critical for applications such as the analysis of bird population dynamics and species diversity. However, this task remains challenging due to local structural similarities and class imbalances among bird species. Currently, most deep learning algorithms focus on designing local feature extraction modules while ignoring the importance of global information.
View Article and Find Full Text PDFMaterials (Basel)
January 2025
Faculty of Civil Engineering, Warsaw University of Technology, Al. Armii Ludowej 16, 00-637 Warsaw, Poland.
This paper presents an experimental study on the elastic support in a discrete rail fastening system used in a ballastless tram track structure. The study focuses on the elastic support of the anchor element, specifically the Pm49 baseplate. These elements significantly influence environmental pollution along tram routes, such as vibration (at low frequencies) or noise (at high frequencies), as well as static and dynamic rail deflections.
View Article and Find Full Text PDFSci Rep
January 2025
School of Mathematics and Systems Science, Guangdong Polytechnic Normal University, No. 293, Zhongshan Avenue West, Tianhe District, Guangzhou, 510665, China.
Due to the lack of efficient mpox diagnostic technology, mpox cases continue to increase. Recently, the great potential of deep learning models in detecting mpox and non-mpox has been proven. However, existing methods are susceptible to interference from various noises in real-world settings, require diverse non-mpox images, and fail to detect abnormal input, which makes them unsuitable for practical deployment and application.
View Article and Find Full Text PDFRMD Open
December 2024
Copenhagen Center for Arthritis Research, Center for Rheumatology and Spine Diseases, Centre for Head and Orthopaedics, Rigshospitalet, Copenhagen, Denmark.
Background: The Assessment of SpondyloArthritis international Society Health Index (ASAS HI) is a novel questionnaire of global functioning for patients with axial spondyloarthritis (SpA).
Objective: The objective was to assess the construct validity, discriminatory ability and responsiveness of ASAS HI in relation to patient-reported outcome measures (PROMs), MRI and radiography.
Methods: Data from two longitudinal studies with tumour necrosis factor inhibitor (TNFi) initiation (novel MRI And biomarkers in Golimumab-treated patients with axial spondyloarthritis (MANGO): n=45) respectively tapering (Dose adjustment of Biological treatment in patients with SpA (DOBIS): n=106) were used.
Eur J Radiol
January 2025
Department of Radiology, Affiliated Hospital of Jiangnan University, Wuxi City, Jiangsu Province 214062, China. Electronic address:
Purpose: To construct a nomogram combining Kaiser score (KS), synthetic MRI (syMRI) parameters, apparent diffusion coefficient (ADC), and clinical features to distinguish benign and malignant breast lesions better.
Methods: From December 2022 to February 2024, a retrospective cohort of 168 patients with breast lesions diagnosed as Breast Imaging Reporting and Data System (BI-RADS) category 4 by ultrasound and/or mammography was included. The research population was divided into the training set (n = 117) and the validation set (n = 51) by random sampling with a ratio of 7:3.
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