There is an ongoing debate whether an impairment of visual attentional functions constitutes an additional or even an isolated deficit of developmental dyslexia (DD). Especially performance in tasks that require the processing of multiple visual elements in parallel has been reported to be impaired in DD. We review studies that used parameter-based assessment for identifying and quantifying impaired aspect(s) of visual attention that underlie this multi-element processing deficit in DD. These studies used the mathematical framework provided by the "theory of visual attention" (Bundesen, 1990) to derive quantitative measures of general attentional resources and attentional weighting aspects on the basis of behavioral performance in whole- and partial-report tasks. Based on parameter estimates in children and adults with DD, the reviewed studies support a slowed perceptual processing speed as an underlying primary deficit in DD. Moreover, a reduction in visual short term memory storage capacity seems to present a modulating component, contributing to difficulties in written language processing. Furthermore, comparing the spatial distributions of attentional weights in children and adults suggests that having limited reading and writing skills might impair the development of a slight leftward bias, that is typical for unimpaired adult readers.
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http://dx.doi.org/10.3389/fpsyg.2014.01172 | DOI Listing |
J Chem Inf Model
January 2025
School of Information Science & Engineering, Lanzhou University, Lanzhou 730000, China.
Efficient and accurate drug-target affinity (DTA) prediction can significantly accelerate the drug development process. Recently, deep learning models have been widely applied to DTA prediction and have achieved notable success. However, existing methods often encounter several common issues: first, the data representations lack sufficient information; second, the extracted features are not comprehensive; and third, most methods lack interpretability when modeling drug-target binding.
View Article and Find Full Text PDFJ Eval Clin Pract
February 2025
Pitești University Centre, National University of Science and Technology Politehnica Bucharest, Pitești, Romania.
This article identifies and offers a response to several problems that affect the quality of both clinical education and health care services. These matters are: that in clinical training and practice, health, as lived by patients (persons), is not properly considered, and is equated reductively with treating diseases/disorders; that health is seen through disease, and as restricted to a single model defined by an organism's meeting (or being returned to) biochemical or functional standards; that intellectual assumptions instilled in schools of Medicine and Psychology about realities pertaining to healthcare determine an understanding of chronic illness or life with chronic challenges focused on impairment and suffering, and not on the fuller experience of living with illness, disability or neuropsychological challenges that patients have as persons; that arts-based education reflects the same focus in understanding 'illness', and thus neglects giving attention to the creation of personal health states of those living with challenging or debilitating long-term conditions; that, consequently, the arts are instrumentalized to serve these predefined educational purposes, rather than allowed to inform clinical training through that which is intrinsic or more specific to them. As a way out of these limitations and as an illustration of how things could be done differently, Vincent Van Gogh's paintings of the Sunflowers are used as visual inspiration for how we could change the way we see, and construct new mental representations of 'health', 'chronic illness' or 'chronic challenges', 'patient as person' or even 'person as non-patient', 'the clinician's role' and 'the identity of clinical practice'.
View Article and Find Full Text PDFJ Eye Mov Res
December 2024
Department of Marine Design Convergence Engineering, Pukyong National University, Korea.
This study aims to explore the distribution of visual attention on sustainability graphics when viewing an eco-friendly product and the recall of sustainability information afterward. Twenty-five students majoring in environmental studies and twenty-five students from non-environmental majors participated in the study. They were further divided into a higher group and a lower group based on their sustainability level.
View Article and Find Full Text PDFCureus
December 2024
Department of Orthodontics, School of Dentistry, Shahid Beheshti University of Medical Sciences, Tehran, IRN.
Background Orthodontic diagnostic workflows often rely on manual classification and archiving of large volumes of patient images, a process that is both time-consuming and prone to errors such as mislabeling and incomplete documentation. These challenges can compromise treatment accuracy and overall patient care. To address these issues, we propose an artificial intelligence (AI)-driven deep learning framework based on convolutional neural networks (CNNs) to automate the classification and archiving of orthodontic diagnostic images.
View Article and Find Full Text PDFIndian J Occup Environ Med
December 2024
Department of Occupational Medicine, Industrial Diseases Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Background: Different domains of cognitive function are important in some jobs, such as office work. Ergonomic risk factors may affect cognitive function.
Aim: This study was designed to assess the effect of an ergonomic training intervention on the cognitive function of office workers.
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