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Context shapes how we perceive choices and, therefore, how we decide between them. For instance, a large body of literature on the "framing effect" demonstrates that people become more risk-seeking when choices are framed in terms of losses. Despite this research, it remains unknown how people make choices between contexts and how these choices affect subsequent decision making. To address these questions, we designed the Frame Selection Task (FST). On each trial in the FST, participants first choose how risky and safe options are framed, either in terms of gains or losses, and then select between them. We found that participants exhibited frame preferences, with a predominant preference for the gain frame, and that they were willing to incur costs to select options within their preferred frame. Moreover, participants selected frames that aligned with their risk preferences: people with stronger risk aversion displayed a stronger gain-frame preference. These results demonstrate how people choose between contexts and that they can combine these preferences with cognitive biases to facilitate decision making.
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http://dx.doi.org/10.1038/s41598-024-79510-z | DOI Listing |
BMJ Open
September 2025
Health Services Research Unit (HØKH), Akershus University Hospital, Lørenskog, Akershus, Norway.
Background: Physicians frame medical information for patients in different ways, impacting patient outcomes. What underlies their framing choices has not been investigated. OBJECTIVE: To explore the use and function of information framing practices in medical interactions.
View Article and Find Full Text PDFFront Psychol
August 2025
Department of Psychology, University of Exeter, Exeter, United Kingdom.
This conceptual study examines Matte Blanco's system of bi-logic as a novel framework for understanding psychedelic altered states of consciousness. The initial point of departure is a consideration of the complex historical relationship between psychoanalysis and psychedelics, prompting a review of contemporary psychoanalytic and neuropsychoanalytic perspectives on psychedelic action. This leads into an exposition of bi-logic, which reformulates Freud's conception of conscious and unconscious processes in terms of logico-mathematical principles, postulating binary modes of mental functioning: the , characterized by logic, differentiation, ordered relations in space and time, and cognition; and the , characterized by symmetry, generalization, unity, spacelessness, timelessness, paradox, and boundless affect.
View Article and Find Full Text PDFSci Rep
September 2025
Department of Experimental Psychology, Life and Mind Building, University of Oxford, Worcester College, Walton St, South Parks Road, Oxford, OX1 3UD, U.K.
Motion in visual images can be described in terms of changes in phases of Fourier components (phase cues), or displacements in the position of specific features (position cues) over time. Human observers are able to perceive motion using both cues, where perceived direction of motion is biased in favour of phase cues at higher spatial and temporal frequencies, and in favour of position cues at lower spatial and temporal frequencies. This suggests the existence of separable mechanisms for processing phase and position cues.
View Article and Find Full Text PDFActa Cardiol
September 2025
Bakırköy Dr. Sadi Konuk Training and Research Hospital, Bakırköy, İstanbul, Turkey.
Background: TIMI (Thrombolysis In Myocardial Infarction) frame count is a quantitative method that objectively assesses slow coronary blood flow. In our study, corrected TIMI frame count and non-invasive parameters such as Tp-e interval and Tp-e/QT ratio were investigated after revascularization in patients with ST Elevation Myocardial Infarction (STEMI).
Methods: Patients who were admitted to our hospital with a preliminary diagnosis of STEMI between January 2020 and July 2020 were included in our study.
NMR Biomed
October 2025
Department of Electronic Information Engineering, Nanchang University, Nanchang, China.
Diffusion models have emerged as promising tools for tackle the challenges of MRI reconstruction, demonstrating superior performance in sample generation compared to traditional methods. However, their application in dynamic MRI reconstruction remains relatively underexplored, primarily owing to the substantial demand for fully sampled training data, which is challenging to obtain because of the spatiotemporal complexity and high acquisition costs associated with dynamic MRI. To address this challenge, this paper proposes a zero-shot learning framework for accurate dynamic MR image reconstruction from undersampled k-space data directly.
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