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The surprise capture hypothesis states that a stimulus will capture attention to the extent that it is preattentively available and deviates from task-expectancies. Interestingly, it has been noted by Horstmann (Psychological Science 13: 499-505. doi: 10.1111/1467-9280.00488, 2002, Human Perception and Performance 31: 1039-1060. doi: 10.1037/00961523.31.5.1039, 2005, Psychological Research, 70, 13-25, 2006) that the time course of capture by such classes of stimuli appears distinct from that of capture by expected stimuli. Specifically, attention shifts to an unexpected stimulus are delayed relative to an expected stimulus (delayed onset account). Across two experiments, we investigated this claim under conditions of unguided (Exp. 1) and guided (Exp. 2) search using eye-movements as the primary index of attentional selection. In both experiments, we found strong evidence of surprise capture for the first presentation of an unannounced color singleton. However, in both experiments the pattern of eye-movements was not consistent with a delayed onset account of attention capture. Rather, we observed costs associated with the unexpected stimulus only once the target had been selected. We propose an interference account of surprise capture to explain our data and argue that this account also can explain existing patterns of data in the literature.
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http://dx.doi.org/10.3758/s13414-015-0888-3 | DOI Listing |
Sci Rep
August 2025
Computer Science Department, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
This study evaluates the ability of Large Language Models (LLMs) to summarize real-world dialogues between patients and the healthcare team of an e-health company that provides digital healthcare services, primarily communicating via WhatsApp. The team needs quick access to patient information to deliver accurate and personalized responses. Summarizing past messages is the approach examined here, aiming for concise, non-redundant, and truthful summaries that capture the main dialogue characteristics despite facing (real-world) noisy and informal content in an under-represented language - Portuguese.
View Article and Find Full Text PDFIntroduction: Patient-centered care is paramount for optimal outcomes. To address this, at Meritus Health, we asked a simple, yet profound question: "What matters most to you? (WMM)" This question, integrated into the patients' electronic health records (EHRs), facilitates meaningful conversations and helps tailor care to align with patient goals. This initiative, grounded in the principles of Age-Friendly Healthcare from the John A.
View Article and Find Full Text PDFJ Chem Phys
August 2025
Theoretical Solid State Physics, Institute of Physics, Technische Universität Ilmenau, 98693 Ilmenau, Germany.
We investigate the transferability of machine learning interatomic potentials across concentration variations in chemically similar systems, using aqueous potassium hydroxide solutions as a case study. Despite containing identical chemical species (K+, OH-, and H2O) across all concentrations, models fine-tuned on specific KOH concentrations exhibit surprisingly poor transferability to others, with force prediction errors increasing dramatically from 30 meV Å-1 (at training concentration) to 90 meV Å-1 (at very different concentrations). This reveals a critical limitation when applying such models beyond their training domain, even within chemically homogeneous systems.
View Article and Find Full Text PDFVis cogn
August 2024
Department of Psychology, University of California San Diego, La Jolla CA.
Salient but irrelevant information often captures our attention. To quantify attentional capture in the lab, participants typically complete dozens or hundreds of trials that contain salient distractors. However, presenting distractors frequently may also incidentally introduce a secondary task-set to resist distraction.
View Article and Find Full Text PDFEur J Med Chem
December 2025
Laboratory of Biomedical Chemistry, Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, 53-114, Wrocław, Poland. Electronic address:
Since their initial synthesis by Hawthorne in the 1960s, inorganic metallacarboranes - most notably cobalt bis(dicarbollide), [CoSAN], have been considered chemically inert and harmless to eukaryotic cells. This reputation for inertness has supported their use in a wide range of biomedical applications, including as a boron source for boron neutron capture therapy, antifungal and Gram-positive antibacterial agents, and superchaotropic membrane carriers for impermeable biologically important molecules. In this study, we report a surprising twist: newly synthesized, iodinated and charge-compensated [CoSAN] derivatives with boron-nitrogen (-B-N-) bond show promising anticancer activity.
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