In this work, we develop an empirically driven model of visual attention to multiple words using the word-word interference (WWI) task. In this task, two words are simultaneously presented visually: a to-be-ignored distractor word at fixation, and a to-be-read-aloud target word above or below the distractor word. Experiment 1 showed that low-frequency distractor words interfere more than high-frequency distractor words. Experiment 2 showed that distractor frequency (high vs. low) and target frequency (high vs. low) exert additive effects. Experiment 3 showed that the effect of the case status of the target (same vs. AlTeRnAtEd) interacts with the type of distractor (word vs. string of # marks). Experiment 4 showed that targets are responded to faster in the presence of semantically related distractors than in presence of unrelated distractors. Our model of visual attention to multiple words borrows two principles governing processing dynamics from the dual-route cascaded model of reading: cascaded interactive activation and lateral inhibition. At the core of the model are three mechanisms aimed at dealing with the distinctive feature of the WWI task, which is that two words are presented simultaneously. These mechanisms are identification, tokenization, and deactivation.
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Adv Biotechnol (Singap)
March 2024
State Key Laboratory of Biocontrol, Guangdong Provincial Key Laboratory of Plant Resources, School of Life Sciences, Sun Yat-Sen University, Guangzhou, 510275, China.
Plant lipids are a diverse group of biomolecules that play essential roles in plant architecture, physiology, and signaling. To advance our understanding of plant biology and facilitate innovations in plant-based product development, we must have precise methods for the comprehensive analysis of plant lipids. Here, we present a comprehensive overview of current research investigating plant lipids, including their structures, metabolism, and functions.
View Article and Find Full Text PDFJ Laparoendosc Adv Surg Tech A
January 2025
Department of Pediatric Surgery, Tehran University of Medical Sciences, Tehran, Iran.
Morgagni hernia (MH), a rare type of congenital diaphragmatic hernia, does not have an established protocol for surgical repair. A MEDLINE search with terms related to various surgical approaches to repair MH in children was conducted. Articles comprising robotic-assisted surgery, laparoscopy, laparotomy, thoracoscopy, and thoracotomy over the last 20 years were assessed.
View Article and Find Full Text PDFCogn Behav Ther
January 2025
Department of Psychology, Vanderbilt University, 312 Wilson Hall, 111 21st Avenue South, Nashville, TN 37240, USA.
Exposure therapy is an efficacious treatment for anxiety-related disorders. Yet, fear often returns after treatment. Occasional reinforcement, in which the feared stimulus is intermittently presented during extinction, increases safety learning and slows fear renewal in conditioning paradigms and analogue samples, but no studies to date have examined this strategy in clinical samples.
View Article and Find Full Text PDFFront Med (Lausanne)
January 2025
Department of Cardiology, Heart Center, First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Introduction: In recent years, the development of artificial intelligence (AI) technologies, including machine learning, deep learning, and large language models, has significantly supported clinical work. Concurrently, the integration of artificial intelligence with the medical field has garnered increasing attention from medical experts. This study undertakes a dynamic and longitudinal bibliometric analysis of AI publications within the healthcare sector over the past three decades to investigate the current status and trends of the fusion between medicine and artificial intelligence.
View Article and Find Full Text PDFFront Neurorobot
January 2025
College of Engineering, Qufu Normal University, Rizhao, China.
Brain-computer interfaces (BCIs) have garnered significant research attention, yet their complexity has hindered widespread adoption in daily life. Most current electroencephalography (EEG) systems rely on wet electrodes and numerous electrodes to enhance signal quality, making them impractical for everyday use. Portable and wearable devices offer a promising solution, but the limited number of electrodes in specific regions can lead to missing channels and reduced BCI performance.
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