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Improvement of flipped classroom teaching in colleges and universities based on virtual reality assisted by deep learning.
Sci Rep
January 2025
School of Electronic and Information Engineering, Changsha Institute of Technology, Changsha, 410200, China.
In order to solve the limitations of flipped classroom in personalized teaching and interactive effect improvement, this paper designs a new model of flipped classroom in colleges and universities based on Virtual Reality (VR) by combining the algorithm of Contrastive Language-Image Pre-Training (CLIP). Through cross-modal data fusion, the model deeply combines students' operation behavior with teaching content, and improves teaching effect through intelligent feedback mechanism. The test data shows that the similarity between video and image modes reaches 0.
View Article and Find Full Text PDFPitch-based correspondences related to abstract concepts.
Acta Psychol (Amst)
January 2025
Phonetics and speech synthesis research group, Department of Digital Humanities, Faculty of Arts, University of Helsinki, Unioninkatu 38, Helsinki, Finland. Electronic address:
Previous investigations have shown pitch-based correspondences with various perceptual and conceptual attributes. The present study reveals two novel pitch-based correspondences with highly abstract concepts. Three experiments with varying levels of implicitness of the association task showed that the concepts of future and in are associated with high-pitch sounds, while past and out are associated with low-pitch sounds.
View Article and Find Full Text PDFMapping the Green Urban: A Comprehensive Review of Materials and Learning Methods for Green Infrastructure Mapping.
Sensors (Basel)
January 2025
Chair of Geoinformatics, Faculty of Geodesy, University of Zagreb, 10 000 Zagreb, Croatia.
Green infrastructure (GI) plays a crucial role in sustainable urban development, but effective mapping and analysis of such features requires a detailed understanding of the materials and state-of-the-art methods. This review presents the current landscape of green infrastructure mapping, focusing on the various sensors and image data, as well as the application of machine learning and deep learning techniques for classification or segmentation tasks. After finding articles with relevant keywords, the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyzes) method was used as a general workflow, but some parts were automated (e.
View Article and Find Full Text PDFAn End-To-End Speech Recognition Model for the North Shaanxi Dialect: Design and Evaluation.
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 PDFA Biopsychosocial Overview of Speech Disorders: Neuroanatomical, Genetic, and Environmental Insights.
Biomedicines
January 2025
Department of Anatomy & Cell Biology, Oklahoma State University Center for Health Sciences, Tulsa, OK 74107, USA.
Speech disorders encompass a complex interplay of neuroanatomical, genetic, and environmental factors affecting individuals' communication ability. This review synthesizes current insights into the neuroanatomy, genetic underpinnings, and environmental influences contributing to speech disorders. Neuroanatomical structures, such as Broca's area, Wernicke's area, the arcuate fasciculus, and basal ganglia, along with their connectivity, play critical roles in speech production, comprehension, and motor coordination.
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