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Upper-air meteorological dataset for Uyo, using radiosonde.
Data Brief
February 2023
Advanced Space Technology Applications Laboratory Uyo, National Space Research and Development Agency, Federal Capital Territory, Abuja, Nigeria.
Weather pattern anomalies and climate change have greatly impacted human activities and the environment in varying ways. Whether induced naturally or by anthropogenic activities, it remains a menace to global public health. A foreknowledge of the weather/climate change can help in mitigating the impact of disasters emanating from these changes.
View Article and Find Full Text PDFTask foreknowledge swallows item-specific but not list-wide control learning effects.
J Exp Psychol Learn Mem Cogn
May 2023
Department of Psychological Sciences, Purdue University.
Recent context-control learning studies have shown that switch costs are reduced in a particular context predicting a high probability of switching as compared to another context predicting a low probability of switching. These context-specific switch probability effects suggest that control of task sets, through experience, can become associated with a particular context cue and be retrieved subsequently to modulate task-switching efficiency. However, advanced task foreknowledge, mediated by top-down retrieval of a specific task set, also modulates switch costs, as shown in the task-switching literature.
View Article and Find Full Text PDFBackward recall and foreknowledge of recall direction: a test of the Encoding-Retrieval Matching Hypothesis.
Memory
September 2022
École de Psychologie, Université de Moncton, Moncton, NB, Canada.
When participants must recall a sequence of items in reverse order just after their presentation, inconsistent findings have been observed relative to when participants must recall a sequence in their presentation order. Recently, the Encoding-Retrieval Matching Hypothesis (ERM) has been developed to account for these inconsistencies. Within the ERM hypothesis, foreknowledge of recall direction plays an important role.
View Article and Find Full Text PDFComparison of convolutional neural networks for detecting large vessel occlusion on computed tomography angiography.
Med Phys
October 2021
Department of Computer Science, Vanderbilt University, Nashville, TN, USA.
Purpose: Artificial intelligence diagnosis and triage of large vessel occlusion may quicken clinical response for a subset of time-sensitive acute ischemic stroke patients, improving outcomes. Differences in architectural elements within data-driven convolutional neural network (CNN) models impact performance. Foreknowledge of effective model architectural elements for domain-specific problems can narrow the search for candidate models and inform strategic model design and adaptation to optimize performance on available data.
View Article and Find Full Text PDFStrategic Distractor Suppression Improves Selective Control in Human Vision.
J Neurosci
August 2021
School of Psychology and Centre for Human Brain Health, University of Birmingham, Birmingham B15 2TT, England
Our visual environment is complicated, and our cognitive capacity is limited. As a result, we must strategically ignore some stimuli to prioritize others. Common sense suggests that foreknowledge of distractor characteristics, like location or color, might help us ignore these objects.
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