The construction of the Dutch Adult Reading Test (DART) is described. The DART is the Dutch version of the National Adult Reading Test. Both tests consist of a series of words with an irregular pronunciation. The score on the test is a predictor of premorbid intelligence of brain damaged patients. Furthermore, results of reliability and validation studies with the DART are reported. The main findings, which were obtained with the NART, were replicated by the DART. These findings consist of a high correlation (.85) with verbal intelligence in healthy controls (n = 22) and insensitivity to cerebral deterioration in brain damaged and demented patients (n = 53). The test also appeared to be insensitive to cognitive deterioration in a group of psychotic patients (n = 43).
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Ophthalmic Physiol Opt
January 2025
Vision and Hearing Sciences Research Centre, Anglia Ruskin University, Cambridge, UK.
Purpose: Wearable electronic low vision enhancement systems (wEVES) improve visual function but are not widely adopted by people with vision impairment. Here, qualitative research methods were used to investigate the usefulness of wEVES for people with age-related macular degeneration (AMD) after an extended home trial.
Methods: Following a 12-week non-masked randomised crossover trial, semi-structured interviews were completed with 34 participants with AMD, 64.
Int J Biol Macromol
January 2025
School of Chemical Engineering & Technology, Tianjin University, Tianjin 300072, PR China; Key Laboratory of Systems Bioengineering (Ministry of Education), Tianjin University, Tianjin 300072, PR China; Frontier Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin 300072, PR China. Electronic address:
In this study, we successfully integrated the full-length genome of the cyanophage PP into the non-host cyanobacterium Synechococcus elongatus PCC 7942, facilitated by conjugation via Escherichia coli. To address the challenge posed by the toxic open reading frames (ORFs) of PP in E. coli, we first identified and characterized three toxic ORFs.
View Article and Find Full Text PDFEBioMedicine
January 2025
Department of Chemistry, Key Laboratory of Bioorganic Phosphorus Chemistry & Chemical Biology, Tsinghua University, New Cornerstone Science Foundation, Beijing, 100084, China. Electronic address:
Background: The widespread and evolution of RNA viruses, such as the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), highlights the importance of fast identification of virus subtypes, particularly in non-laboratory settings. Rapid and inexpensive at-home testing of viral nucleic acids with single-base resolution remains a challenge.
Methods: Topologically constrained DNA ring is engineered as substrates for the trans-cleavage of Cas13a to yield an accelerated post isothermal amplification.
Life (Basel)
December 2024
Department of Optometry and Vision Science, Faculty of Science and Technology, University of Latvia, Jelgavas Street 1, LV-1004 Riga, Latvia.
Uncorrected refractive error and unsatisfactory performance on several clinical accommodation and binocular vision tests are more common in children who struggle with reading. The aim of the current study is to explore the prevalence of accommodative and binocular dysfunctions in children with and without reading difficulties. Reading performance was assessed with the Acadience Reading (formerly DIBELS Next) test adjusted and validated for the Latvian language.
View Article and Find Full Text PDFMicromachines (Basel)
December 2024
Institute of Information Science, Beijing Jiaotong University, Beijing 100044, China.
Reconfigurable processor-based acceleration of deep convolutional neural network (DCNN) algorithms has emerged as a widely adopted technique, with particular attention on sparse neural network acceleration as an active research area. However, many computing devices that claim high computational power still struggle to execute neural network algorithms with optimal efficiency, low latency, and minimal power consumption. Consequently, there remains significant potential for further exploration into improving the efficiency, latency, and power consumption of neural network accelerators across diverse computational scenarios.
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