This study was aimed at investigating the semantic integration ability of people with WS in building up a coherent and gist theme from the context of presented sentences. Previous studies have indicated rich lexical semantic knowledge and typical semantic priming in this clinical group, but atypical brainwave patterns have been reported in studies of semantic comprehension. An integration difficulty hypothesis of merging meanings into sentences was proposed to explain the discrepancy (Tyler et al., 1997). In this study, this hypothesis was examined by means of proposition integration. Participants were presented sentences embedded with different numbers of propositions under various scenarios. Successful integration of semantically related propositions under same scenario was demonstrated by high false alarm recognition to sentences with more propositions (a maximum of four in this study). The results revealed that healthy adults showed integration ability when the number of propositions in a sentence were more than three, with increased false alarm rates and confidence ratings, whereas people with WS showed no differences in sentences with increased proposition numbers. Typically developing children controls confined recognition phenomenon to sentences carrying more than two propositions. Hence, it was concluded that contextual effects in terms of proposition integration was a gradual development from childhood into adulthood and a deviant development in people with WS.
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http://dx.doi.org/10.1016/j.ridd.2010.11.001 | DOI Listing |
JMIR Cancer
January 2025
Division of Radiology and Biomedical Engineering, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Background: The application of natural language processing in medicine has increased significantly, including tasks such as information extraction and classification. Natural language processing plays a crucial role in structuring free-form radiology reports, facilitating the interpretation of textual content, and enhancing data utility through clustering techniques. Clustering allows for the identification of similar lesions and disease patterns across a broad dataset, making it useful for aggregating information and discovering new insights in medical imaging.
View Article and Find Full Text PDFBMC Nurs
January 2025
Nursing Department, Hamad Medical Corporation, Doha, P.O. Box 3050, Qatar.
Background: Artificial Intelligence (AI) is increasingly applied in healthcare to boost productivity, reduce administrative workloads, and improve patient outcomes. In nursing, AI offers both opportunities and challenges. This study explores nurses' perspectives on implementing AI in nursing practice within the context of Jordan, focusing on the perceived benefits and concerns related to its integration.
View Article and Find Full Text PDFBMC Geriatr
January 2025
School of Medicine, Qom University of Medical Sciences, Qom, Iran.
Introduction: Intrinsic Capacity in integrated geriatric care emphasizes the importance of a thorough functional assessment. Monitoring the intrinsic capacity of older individuals provides standardized and reliable information to prevent early disability. This study assessed the relationship between intrinsic capacity and functional ability in older adults.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Electrical Electronical Engineering, Yaşar University, Bornova, İzmir, Turkey.
We aimed to build a robust classifier for the MGMT methylation status of glioblastoma in multiparametric MRI. We focused on multi-habitat deep image descriptors as our basic focus. A subset of the BRATS 2021 MGMT methylation dataset containing both MGMT class labels and segmentation masks was used.
View Article and Find Full Text PDFNat Commun
January 2025
Department of Civil and Systems Engineering, Johns Hopkins University, Baltimore, MD, USA.
Direct Ink Writing, an extrusion-based 3D printing technique, has attracted growing interest due to its ability to process a broad range of materials and integrate multifunctional printheads with features such as shape-changing nozzles, in-situ curing, material switching, and material mixing. Despite these advancements, incorporating auxiliary controls into Geometry Code (G-Code), the standard programming language for these printers, remains challenging. G-Code's line-by-line execution requires auxiliary control commands to interrupt the print path motion, causing defects in the printed structure.
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