Previous research has documented that children count spatiotemporally-distinct partial objects as if they were whole objects. This behavior extends beyond counting to inclusion of partial objects in assessment and comparisons of quantities. Multiple accounts of this performance have been proposed: children and adults differ qualitatively in their conceptual representations, children lack the processing skills to immediately individuate entities in a given domain, or children cannot readily access relevant linguistic alternatives for the target count noun. We advance a new account, appealing to theoretical proposals about underspecification in nominal semantics and the role of the discourse context. Our results demonstrate that there are limits to which children allow partial objects to serve as wholes, and that under certain conditions, adult performance resembles that of children by allowing in partial objects. We propose that children's behavior is in fact licensed by the inherent context dependence of count nouns.
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http://dx.doi.org/10.1017/S0305000921000027 | DOI Listing |
J Imaging
December 2024
College of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming 650224, China.
Walnuts possess significant nutritional and economic value. Fast and accurate sorting of shells and kernels will enhance the efficiency of automated production. Therefore, we propose a FastQAFPN-YOLOv8s object detection network to achieve rapid and precise detection of unsorted materials.
View Article and Find Full Text PDFHealthc Technol Lett
December 2024
Hamlyn Centre for Robotic Surgery, Department of Surgery and Cancer Imperial College London London UK.
The estimation of the pose of surgical instruments is important in Robot-assisted Minimally Invasive Surgery (RMIS) to assist surgical navigation and enable autonomous robotic task execution. The performance of current instrument pose estimation methods deteriorates significantly in the presence of partial tool visibility, occlusions, and changes in the surgical scene. In this work, a vision-based framework is proposed for markerless estimation of the 6DoF pose of surgical instruments.
View Article and Find Full Text PDFZhongguo Zhong Yao Za Zhi
November 2024
National Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences Beijing 100700, China.
Gongju(Chrysanthemum morifolium) is one of the five major medicinal Chrysanthemum varieties included in the Chinese Pharmacopoeia. In recent years, its cultivation areas have changed significantly, resulting in mixed quality of the medicinal herbs. In this study, Gongju cultivated in Anhui, Yunnan, Chongqing, and other places were selected as research objects.
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 PDFSensors (Basel)
December 2024
School of Mechanical and Electrical Engineering, Central South University, Changsha 410083, China.
Three-dimensional point cloud recognition is a very fundamental work in fields such as autonomous driving and face recognition. However, in real industrial scenarios, input point cloud data are often accompanied by factors such as occlusion, rotation, and noise. These factors make it challenging to apply existing point cloud classification algorithms in real industrial scenarios.
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