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Is simpler better? Semantic content modulates the emotional prosody perception in Mandarin-speaking children with autism spectrum disorder.
J Commun Disord
January 2025
School of Foreign Studies, China University of Petroleum (East China), Qingdao, China. Electronic address:
Introduction: It is still under debate whether and how semantic content will modulate the emotional prosody perception in children with autism spectrum disorder (ASD). The current study aimed to investigate the issue using two experiments by systematically manipulating semantic information in Chinese disyllabic words.
Method: The present study explored the potential modulation of semantic content complexity on emotional prosody perception in Mandarin-speaking children with ASD.
A deep transfer learning based convolution neural network framework for air temperature classification using human clothing images.
Sci Rep
December 2024
Department of Electrical Engineering, College of Engineering, Taif University, P.O. BOX 11099, 21944, Taif, Saudi Arabia.
Weather recognition is crucial due to its significant impact on various aspects of daily life, such as weather prediction, environmental monitoring, tourism, and energy production. Several studies have already conducted research on image-based weather recognition. However, previous studies have addressed few types of weather phenomena recognition from images with insufficient accuracy.
View Article and Find Full Text PDF[Translation and transcultural adaptation of the Person-Centered Practice Inventory-Care for Spanish patients].
An Sist Sanit Navar
December 2024
Universidad de Navarra. Facultad de Enfermería. Grupo de investigación ICCP-UNAV - Innovación para un Cuidado Centrado en la Persona. Pamplona. España .
Background: Person-centered care (PCC) positively impacts individuals by enhancing self-care, autonomy, well-being, skills, quality of life, and satisfaction with their care experience. The Person-Centered Practice Inventory-Care (PCPI-C), grounded in the Person-Centered Practice theoretical framework, is designed to assess healthcare users' perceptions of the PCC they receive. This study aims to develop the first Spanish version of the PCPI-C, translated and adapted to the Spanish context.
View Article and Find Full Text PDFMultibranch semantic image segmentation model based on edge optimization and category perception.
PLoS One
December 2024
Department of Computer Science and Technology, Xinzhou Normal University, Xinzhou, China.
In semantic image segmentation tasks, most methods fail to fully use the characteristics of different scales and levels but rather directly perform upsampling. This may cause some effective information to be mistaken for redundant information and discarded, which in turn causes object segmentation confusion. As a convolutional layer deepens, the loss of spatial detail information makes the segmentation effect achieved at the object boundary insufficiently accurate.
View Article and Find Full Text PDFCE-Net: Cascade attention and context-aware cross-level fusion network via edge learning guidance for polyp segmentation.
Comput Biol Med
February 2025
The Primary School Affiliated to Yunnan University, Kunming, 650000, China.
Colorectal polyps are one of the most direct causes of colorectal cancer. Polypectomy can effectively block the process of colorectal cancer, but accurate polyp segmentation methods are required as an auxiliary means. However, there are several challenges associated with achieving accurate polyp segmentation, such as the large semantic gap between the encoder and decoder, the incomplete edges, and the potential confusion between folds in uncertain areas and target objects.
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