The purpose of this study was to examine specific word- and sentence-level features most frequently used in the expository writing of four groups of college writers. Three groups were writers who demonstrated disabilities. Group 1 students (n = 87) demonstrated learning disabilities (LD); Group 2 (n = 50), attention-deficit/hyperactivity disorder (ADHD); and Group 3 (n = 58), combined LD and ADHD. Group 4 consisted of writers with no history of a documented disability (n = 92). Computer-based analysis and structural equation modeling were used to group specific linguistic features identified in the expository essays across all four groups. The frequency of linguistic features, not errors, was analyzed. Four communication dimensions (factors) were identified for the four groups of writers, but the factor loadings and correlations were significantly different across groups. Furthermore, the relationships of specific linguistic features were studied as to their impact on the verbosity, quality, and lexical complexity of students' expository essays. It is interesting to note that very high correlations were found between verbosity, quality, and lexical complexity, suggesting that these constructs are not as separate in their functioning as might be supposed. Implications for assessment and instruction are provided.
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Sensors (Basel)
January 2025
SHCCIG Yubei Coal Industry Co., Ltd., Xi'an 710900, China.
The coal mining industry in Northern Shaanxi is robust, with a prevalent use of the local dialect, known as "Shapu", characterized by a distinct Northern Shaanxi accent. This study addresses the practical need for speech recognition in this dialect. We propose an end-to-end speech recognition model for the North Shaanxi dialect, leveraging the Conformer architecture.
View Article and Find Full Text PDFRadiother Oncol
January 2025
Department of Radiation Oncology, Stanford University, Stanford, CA, United States. Electronic address:
Background And Purpose: Radiation therapy (RT) is highly effective, but its success depends on accurate, manual target delineation, which is time-consuming, labor-intensive, and prone to variability. Despite AI advancements in auto-contouring normal tissues, accurate RT target volume delineation remains challenging. This study presents Radformer, a novel visual language model that integrates text-rich clinical data with medical imaging for accurate automated RT target volume delineation.
View Article and Find Full Text PDFBrief Bioinform
November 2024
Suzhou Key Lab of Multi-modal Data Fusion and Intelligent Healthcare, No. 1188 Wuzhong Avenue, Wuzhong District Suzhou, Suzhou 215004, China.
The automatic and accurate extraction of diverse biomedical relations from literature constitutes the core elements of medical knowledge graphs, which are indispensable for healthcare artificial intelligence. Currently, fine-tuning through stacking various neural networks on pre-trained language models (PLMs) represents a common framework for end-to-end resolution of the biomedical relation extraction (RE) problem. Nevertheless, sequence-based PLMs, to a certain extent, fail to fully exploit the connections between semantics and the topological features formed by these connections.
View Article and Find Full Text PDFBrain Sci
December 2024
Faculty of Biomedical Engineering, Department of Medical Informatics and Aritificial Intelligence, Silesian University of Technology, Roosevelta 40, 41-800 Zabrze, Poland.
Background/objectives: 22q11.2 microdeletion syndrome (22q11DS) is a genetic disease caused by aberration of chromosome 22 that results in some phenotypic features and developmental disorders. This paper presents a cross-sectional study on speech and communication of Polish children with 22q11DS.
View Article and Find Full Text PDFFront Public Health
January 2025
School of Economics and Management, Anhui University of Chinese Medicine, Hefei, China.
Background: With the increasing global focus on health and the growing popularity of natural therapies, Traditional Chinese Medicine (TCM) products, including extracts, crude drugs, and herbal preparations, are widely utilized as both primary and complementary medicines worldwide. The Regional Comprehensive Economic Partnership (RCEP), spanning 15 countries across East Asia, Southeast Asia, and Oceania, offers a vast market for TCM. However, limited research has been conducted on the complex trade relations among RCEP members.
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