There is now a good deal of data from neurophysiological studies in animals and behavioral studies in human infants regarding the development of multisensory processing capabilities. Although the conclusions drawn from these different datasets sometimes appear to conflict, many of the differences are due to the use of different terms to mean the same thing and, more problematic, the use of similar terms to mean different things. Semantic issues are pervasive in the field and complicate communication among groups using different methods to study similar issues. Achieving clarity of communication among different investigative groups is essential for each to make full use of the findings of others, and an important step in this direction is to identify areas of semantic confusion. In this way investigators can be encouraged to use terms whose meaning and underlying assumptions are unambiguous because they are commonly accepted. Although this issue is of obvious importance to the large and very rapidly growing number of researchers working on multisensory processes, it is perhaps even more important to the non-cognoscenti. Those who wish to benefit from the scholarship in this field but are unfamiliar with the issues identified here are most likely to be confused by semantic inconsistencies. The current discussion attempts to document some of the more problematic of these, begin a discussion about the nature of the confusion and suggest some possible solutions.
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http://dx.doi.org/10.1111/j.1460-9568.2010.07206.x | DOI Listing |
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.
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 PDFAn 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 PDFPLoS 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 PDFComput Biol Med
December 2024
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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