Four experiments investigate the differences between implicit and explicit sequence learning concerning their resilience to structural and superficial task changes. A superficial change that embedded the SRT task in the context of a selection task, while maintaining the sequence, did selectively hinder the expression of implicit learning. In contrast, a manipulation that maintained the task surface, but decreased the sequence validity, affected the expression of learning specifically when it was explicit. These results are discussed in the context of a dynamic framework (Cleeremans & Jiménez, 2002), which assumes that implicit knowledge is specially affected by contextual factors and that, as knowledge becomes explicit, it allows for the development of relevant metaknowledge that modulates the expression of explicit knowledge.
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http://dx.doi.org/10.1037/0278-7393.32.3.475 | DOI Listing |
Sensors (Basel)
December 2024
School of Mechatronics and Vehicle Engineering, East China Jiaotong University, Nanchang 330013, China.
Data imbalances present a serious problem for intelligent fault diagnosis. They can lead to reduced diagnostic precision, which can jeopardize equipment reliability and safety. Based on that, this paper proposes a novel fault diagnosis method combining the denoising diffusion implicit model (DDIM) with a new convolutional neural network framework.
View Article and Find Full Text PDFJ Clin Med
December 2024
Department of Ophthalmology and Visual Science, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea.
Although hydroxychloroquine (HCQ) is used to treat systemic lupus erythematosus (SLE), it is associated with retinal toxicity. Early diagnosis can prevent the further progression of HCQ-associated retinopathy by discontinuing HCQ treatments. This study aimed to evaluate the early diagnostic parameters in patients with SLE treated with HCQ and identify the best approach using multifocal electroretinography (mfERG) and swept-source optical coherence tomography (SS-OCT) to reflect subclinical retinal toxicity.
View Article and Find Full Text PDFBioengineering (Basel)
December 2024
Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford OX3 7DQ, UK.
Cardiovascular diseases (CVDs) are the most common health threats worldwide. 2D X-ray invasive coronary angiography (ICA) remains the most widely adopted imaging modality for CVD assessment during real-time cardiac interventions. However, it is often difficult for the cardiologists to interpret the 3D geometry of coronary vessels based on 2D planes.
View Article and Find Full Text PDFBehav Sci (Basel)
December 2024
Department of Medicine and Surgery, University of Parma, Via Volturno, 39, 43125 Parma, PR, Italy.
Introduction: Post-Traumatic Stress Disorder (PTSD) is a highly prevalent disorder and a highly debilitating condition. Although current theories focused on depressed mood and intrusion as critical dimensions, the mechanism through which depression increases the risk of PTSD remains unclear. Research usually concentrates on the hyperactive negative valence system (NVS) (e.
View Article and Find Full Text PDFBMC Med Inform Decis Mak
January 2025
QUEST Center for Responsible Research, Berlin Institute of Health at Charité Universitätsmedizin Berlin, Berlin, Germany.
Background: Machine learning (ML) is increasingly used to predict clinical deterioration in intensive care unit (ICU) patients through scoring systems. Although promising, such algorithms often overfit their training cohort and perform worse at new hospitals. Thus, external validation is a critical - but frequently overlooked - step to establish the reliability of predicted risk scores to translate them into clinical practice.
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