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The cost of perspective switching: Constraints on simultaneous activation.
Psychon Bull Rev
January 2025
Department of Education and Psychology, The Open University, 1 University Road, P.O. Box 808, 4353701, Ra'anana, Israel.
Visual perspective taking often involves transitioning between perspectives, yet the cognitive mechanisms underlying this process remain unclear. The current study draws on insights from task- and language-switching research to address this gap. In Experiment 1, 79 participants judged the perspective of an avatar positioned in various locations, observing either the rectangular or the square side of a rectangular cube hanging from the ceiling.
View Article and Find Full Text PDFInnovative method integrates play fairway analysis supported with GIS and seismic modeling for geothermal potential evaluation in a basement reservoir.
Sci Rep
January 2025
Faculty of Earth and Environmental Sciences and Engineering, Institute of Exploration Geosciences, University of Miskolc, Miskolc, Hungary.
The growing demand for clean and sustainable energy sources has prompted the investigation of numerous renewable and ecologically friendly options. Among these, geothermal energy is particularly noteworthy because of its widespread availability, compact size, and consistent, weather-independent power production. A geothermal play fairway analysis (GPFA) model was created for the study area, which is located in Békés county, southeastern Hungary.
View Article and Find Full Text PDFAn analysis of the influence of education level on Rowland Universal Dementia Assessment Scale (RUDAS) scores among stroke patients.
Psychogeriatrics
January 2025
Department of Rehabilitation Medicine, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Objective: To explore the influence of education level on scores in the Mandarin Chinese version of the Rowland Universal Dementia Assessment Scale (RUDAS) among stroke patients and to provide guidance regarding the application and optimisation of the RUDAS.
Methods: A total of 235 stroke patients were census sampled for an evaluation of cognitive function using the Mandarin Chinese version of the RUDAS. A test was carried out to analyze the differences in RUDAS scores between sexes, and one-way analysis of variance and the Scheffe multiple comparison test were used to analyze the differences in RUDAS scores between age groups and between education levels.
Development and validation of CNN-MLP models for predicting anti-VEGF therapy outcomes in diabetic macular edema.
Sci Rep
December 2024
Eye School, Chengdu University of Traditional Chinese Medicine, Chengdu, 610000, Sichuan Province, China.
Diabetic macular edema (DME) is a common complication of diabetes that can lead to vision loss, and anti-vascular endothelial growth factor (anti-VEGF) therapy is the standard of care for DME, but the treatment outcomes vary widely among patients. This study collected optical coherence tomography (OCT) images and clinical data from DME patients who received anti-VEGF treatment to develop and validate deep learning (DL) models for predicting the anti-VEGF outcomes in DME patients based on convolutional neural network (CNN) and multilayer perceptron (MLP) combined architecture by using multimodal data. An Xception-MLP architecture was utilized to predict best-corrected visual acuity (BCVA), central subfield thickness (CST), cube volume (CV), and cube average thickness (CAT).
View Article and Find Full Text PDFMulti-Sensor Soil Probe and Machine Learning Modeling for Predicting Soil Properties.
Sensors (Basel)
October 2024
LandScan, LLC, 423 L Street, Suite D, Davis, CA 95616, USA.
Article Synopsis
- A data-driven approach was developed to create digital twins for agricultural fields using a specialized Digital Soil Core (DSC) Probe equipped with seven different sensors, allowing for detailed soil analysis in real time at high vertical resolution.
- The DSC System integrates the probe, software, and equipment to scan soil characteristics up to 120 cm deep in about 60 seconds, producing a data cube that captures diverse soil conditions, unlike traditional methods that suffer from lower resolution and accuracy.
- The study conducted in California's almond orchards aimed to assess the discrepancies between high-res in situ sensor data and lower-res lab measurements to enhance soil prediction models, employing various statistical methods to analyze data integration techniques effectively.
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