A series of experiments demonstrated that a 5-s train of clicks that have been shown in previous studies to increase the subjective duration of tones they precede (in a manner consistent with "speeding up" timing processes) could also have an effect on information-processing rate. Experiments used studies of simple and choice reaction time (Experiment 1), or mental arithmetic (Experiment 2). In general, preceding trials by clicks made response times significantly shorter than those for trials without clicks, but white noise had no effects on response times. Experiments 3 and 4 investigated the effects of clicks on performance on memory tasks, using variants of two classic experiments of cognitive psychology: Sperling's (1960) iconic memory task and Loftus, Johnson, and Shimamura's (1985) iconic masking task. In both experiments participants were able to recall or recognize significantly more information from stimuli preceded by clicks than those preceded by silence.
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http://dx.doi.org/10.1080/17470218.2010.502580 | DOI Listing |
Mov Disord Clin Pract
January 2025
Department of Neurology, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland.
Background: Impulse control disorders (ICD) are common side effects of dopaminergic treatment in Parkinson's disease (PD). Whereas some studies show a reduction in ICD after subthalamic nucleus deep brain stimulation (STN-DBS), others report worsening of ICD or impulsivity.
Objective: The aim was to study ICD in the context of STN-DBS using an objective measure of decision-making.
Biosensors (Basel)
December 2024
Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, No. 174, Shapingba Main Street, Chongqing 400030, China.
In this study, we have proposed an electrochemiluminescence (ECL) signal amplification system which is based on two-dimensional (2D) flower-like CdS@Co/Mo-MOF composites as a co-reaction accelerator of the g-CN/SO system for ultrasensitive detection of chlorpromazine hydrochloride (CPH). Specifically, the 2D flower-like Co/Mo-MOF with mesoporous alleviated the aggregation of CdS NPs while simultaneously fostering reactant-active site contact and improving the reactant-product transport rate. This allowed the material to act as a novel co-reaction accelerator, speeding up the transformation of the SO into SO and enhancing the cathodic ECL emission of g-CN.
View Article and Find Full Text PDFPNAS Nexus
December 2024
Courant Institute of Mathematical Sciences, New York University, 251 Mercer Street, New York, NY 10012, USA.
Uncertainties in wildfire simulations pose a major challenge for making decisions about fire management, mitigation, and evacuations. However, ensemble calculations to quantify uncertainties are prohibitively expensive with high-fidelity models that are needed to capture today's ever-more intense and severe wildfires. This work shows that surrogate models trained on related data enable scaling multifidelity uncertainty quantification to high-fidelity wildfire simulations of unprecedented scale with billions of degrees of freedom.
View Article and Find Full Text PDFComput Animat Virtual Worlds
November 2024
School of Information Technology Carleton University Ottawa Ontario Canada.
3D facial motion retargeting has the advantage of capturing and recreating the nuances of human facial motions and speeding up the time-consuming 3D facial animation process. However, the facial motion retargeting pipeline is limited in reflecting the facial motion's semantic information (i.e.
View Article and Find Full Text PDFBull Cancer
December 2024
Centre Léon-Bérard, Centre de recherche en cancérologie de Lyon, Lyon, France. Electronic address:
Artificial intelligence (AI) is addressing many expectations for healthcare practitioners and patients in oncology. It has the potential to deeply transform medical practices as we know them today: improving early diagnosis by analysing large quantities of medical data, refining personalised treatment plans and optimising patient follow-up. AI also makes it easier to identify new biomarkers and predict responses to therapies, reducing margins of error and speeding up clinical decisions.
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