This study aimed to enhance third and fourth graders' text comprehension at the situation model level. Therefore, we tested a reading strategy training developed to target inference making skills, which are widely considered to be pivotal to situation model construction. The training was grounded in contemporary literature on situation model-based inference making and addressed the source (text-based versus knowledge-based), type (necessary versus unnecessary for (re-)establishing coherence), and depth of an inference (making single lexical inferences versus combining multiple lexical inferences), as well as the type of searching strategy (forward versus backward). Results indicated that, compared to a control group (n = 51), children who followed the experimental training (n = 67) improved their inference making skills supportive to situation model construction. Importantly, our training also resulted in increased levels of general reading comprehension and motivation. In sum, this study showed that a 'level of text representation'-approach can provide a useful framework to teach inference making skills to third and fourth graders.
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http://dx.doi.org/10.3389/fpsyg.2016.00116 | DOI Listing |
J Surg Educ
January 2025
Department of Surgery, Division of General Surgery, Medical College of Wisconsin, Milwaukee, Wisconsin, Milwaukee, Wisconsin. Electronic address:
Objective: As COVID-19 restrictions are eased, there has been a lively debate on whether residency recruitment interviews should be held virtually or in-person. However, environmental impact has rarely been a focus of this debate and only by inference from limited survey data. In this study, we aimed to estimate the carbon emissions generated from air-travel versus in-person interviews in the general surgery residency recruitment.
View Article and Find Full Text PDFBMJ Open
January 2025
Faculty of Medical Sciences, University College London, London, UK.
Introduction: An ageing population and a workforce crisis have triggered an ambitious UK strategy for sustained delivery of healthcare. In perioperative care (the management of patients from contemplation of surgery until full recovery), it is recognised that interventions are needed to place the workforce on a more sustainable footing through cross-functionality and skill-shifting, namely with advanced practice roles. However, despite some reports and reviews in the literature, it is unclear how skills development efforts may potentially support workforce transformation for an effective and resilient perioperative care workforce.
View Article and Find Full Text PDFJ Vis
January 2025
Department of Psychology, New York University, New York, NY, USA.
Active object recognition, fundamental to tasks like reading and driving, relies on the ability to make time-sensitive decisions. People exhibit a flexible tradeoff between speed and accuracy, a crucial human skill. However, current computational models struggle to incorporate time.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil.
Background: Positron emission tomography (PET) imaging greatly impacted Alzheimer's disease (AD) research and diagnosis. which makes predicting PET brain imaging alterations using blood data is of high interest. Additionally, integrating PET and omics data can provide new insights into AD pathophysiology.
View Article and Find Full Text PDFBrief Bioinform
November 2024
Institute of Statistics and Big Data, Renmin University of China, No. 59 Zhongguancun Street, 100872 Beijing, China.
The spatial transcriptomics is a rapidly evolving biological technology that simultaneously measures the gene expression profiles and the spatial locations of spots. With progressive advances, current spatial transcriptomic techniques can achieve the cellular or even the subcellular resolution, making it possible to explore the fine-grained spatial pattern of cell types within one tissue section. However, most existing cell spatial clustering methods require a correct specification of the cell type number, which is hard to determine in the practical exploratory data analysis.
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