The effects of properties of words on their reading aloud response times (RTs) are 1 major source of evidence about the reading process. The precision with which such RTs could potentially be predicted by word properties is critical to evaluate our understanding of reading but is often underestimated due to contamination from individual differences. We estimated this precision without such contamination individually for 4 people who each read 2,820 words 50 times each. These estimates were compared to the precision achieved by a 31-variable regression model that outperforms current cognitive models on variance-explained criteria. Most (around 2/3) of the meaningful (non-first-phoneme, non-noise) word-level variance remained unexplained by this model. Considerable empirical and theoretical-computational effort has been expended on this area of psychology, but the high level of systematic variance remaining unexplained suggests doubts regarding contemporary accounts of the details of the mechanisms of reading at the level of the word. Future assessment of models can take advantage of the availability of our precise participant-level database.
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http://dx.doi.org/10.1037/a0031829 | DOI Listing |
Annu Rev Biomed Eng
January 2025
1School of Engineering, Brown University, Providence, Rhode Island, USA;
The rise in popularity of two-photon polymerization (TPP) as an additive manufacturing technique has impacted many areas of science and engineering, particularly those related to biomedical applications. Compared with other fabrication methods used for biomedical applications, TPP offers 3D, nanometer-scale fabrication dexterity (free-form). Moreover, the existence of turnkey commercial systems has increased accessibility.
View Article and Find Full Text PDFAnn Plast Surg
January 2025
From the Division of Plastic and Reconstructive Surgery, Department of Surgery, University of Wisconsin, Madison, WI.
Introduction: Adult-acquired buried penis (AABP) is an increasingly prevalent condition characterized by the penis "buried" in prepubic/suprapubic tissue. AABP affects urinary and sexual function, hygiene, and psychosocial well-being. Because many affected individuals are unfamiliar with the condition or hesitant to seek medical help, accessible, high-quality patient education materials (PEMs) are necessary.
View Article and Find Full Text PDFHealth Phys
January 2025
Department of Radiation Oncology & Medical Physics, Inova Health Systems, Fairfax, Virginia.
Occupational radiation dosimeters that return high readings cannot always be explained by circumstances in the workplace. For this experiment, a series of optically stimulated luminescence (OSL) dosimeters were brought to airports to estimate the radiation dose OSLs would receive should a worker accidentally bring their dosimeter with them during travel. The OSLs returned readings between 0.
View Article and Find Full Text PDFAnn Rheum Dis
January 2025
Rheumatology Department, Cochin Hospital, Paris, France; INSERM (U1153): Clinical Epidemiology and Biostatistics, University of Paris, Paris, France.
Objectives: To assess the ability of a previously trained deep-learning algorithm to identify the presence of inflammation on MRI of sacroiliac joints (SIJ) in a large external validation set of patients with axial spondyloarthritis (axSpA).
Methods: Baseline SIJ MRI scans were collected from two prospective randomised controlled trials in patients with non-radiographic (nr-) and radiographic (r-) axSpA (RAPID-axSpA: NCT01087762 and C-OPTIMISE: NCT02505542) and were centrally evaluated by two expert readers (and adjudicator in case of disagreement) for the presence of inflammation by the 2009 Assessment of SpondyloArthritis International Society (ASAS) definition. Scans were processed by the deep-learning algorithm, blinded to clinical information and central expert readings.
Ann Rheum Dis
January 2025
Masters and Doctoral Programs in Physical Therapy, Universidade Cidade de Sao Paulo, Sao Paulo, Brazil; Discipline of Physiotherapy, Graduate School of Health, Faculty of Health, University of Technology, Sydney, New South Wales, Australia.
Objectives: The aim of this study was to assess the accuracy and readability of the answers generated by large language model (LLM)-chatbots to common patient questions about low back pain (LBP).
Methods: This cross-sectional study analysed responses to 30 LBP-related questions, covering self-management, risk factors and treatment. The questions were developed by experienced clinicians and researchers and were piloted with a group of consumer representatives with lived experience of LBP.
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