A5101456369- Innovative Teaching and Learning Methods
- Online and Blended Learning
- Intelligent Tutoring Systems and Adaptive Learning
- Teaching and Learning Programming
- earthquake and tectonic studies
- Seismic Waves and Analysis
- Online Learning and Analytics
- EEG and Brain-Computer Interfaces
- Emotion and Mood Recognition
- Remote Sensing and Land Use
- Seismic Imaging and Inversion Techniques
- Mobile Learning in Education
- Advanced Computational Techniques and Applications
- Music and Audio Processing
- Remote-Sensing Image Classification
- Quantum and electron transport phenomena
- Semiconductor Quantum Structures and Devices
- Inertial Sensor and Navigation
- Music Technology and Sound Studies
- Advanced Text Analysis Techniques
- Martial Arts: Techniques, Psychology, and Education
- Geology and Paleoclimatology Research
- Neural Networks and Reservoir Computing
- Bone fractures and treatments
- Hearing Loss and Rehabilitation
Songshan Lake Materials Laboratory
2025
Guangdong Polytechnic Normal University
2025
National Yang Ming Chiao Tung University
2025
Beijing Normal University
2003-2024
Guangdong Provincial Hospital of Traditional Chinese Medicine
2024
Jiangsu Province Hospital
2020
Toyota Research Institute
2014
Gansu Meteorological Bureau
2012
State Key Laboratory of Remote Sensing Science
2011
Emotion recognition is an advanced technology for understanding human behavior and psychological states, with extensive applications mental health monitoring, human–computer interaction, affective computing. Based on electroencephalography (EEG), the biomedical signals naturally generated by brain, this work proposes a resource-efficient multi-entropy fusion method classifying emotional states. First, Discrete Wavelet Transform (DWT) applied to extract five brain rhythms, i.e., delta, theta,...
Lesson study provides an opportunity for teachers to improve their knowledge and skills of classroom teaching, where a group collaboratively research, plan, observe series lessons followed by ongoing discussions reflections. While social interaction between members plays important role in collaborative learning contexts, there are concerns about the quality among lesson (e.g. inadequate engagement discussion, process dominated few politically strong teachers). To address these issues, this...
This paper introduces a system that supports student-centered online one-to-one tutoring and evaluates the practical value of by running an experiment with 64 experienced mathematics teachers 810 students in Grade 7. The lasted for 50 days. A comprehensive evaluation was performed using students' academic performance before after usage log files. By classifying into active inactive groups, it determined significantly outperformed on posttests, but small effect size. results also suggested...
We report anisotropic expansion of self-assembled colloidal polystyrene–poly(dimethylsiloxane) crystals and its impact on the phonon band structure at hypersonic frequencies. The structural was achieved by a multistep infiltration–polymerization process. Such process expands interplanar lattice distance 17% after 8 cycles whereas in-plane remains unaffected. variation induced recorded Brillouin measurements. In sample before expansion, phononic gap between 3.7 4.4 GHz is observed; shifted to...
With the popularity of online one-to-one tutoring, there are emerging concerns about quality and effectiveness this kind tutoring. Although some evaluation methods available, they heavily relied on manual coding by experts, which is too costly. Therefore, using machine learning to predict instruction automatically an effective way reduce human costs. Three classification analyzed in paper: 1) Random forest algorithm with engineered descriptive features; 2) LSTM acoustic features generated...
In the course of ultrasonic medical teaching, disease images are indispensable. However, randomness real-time teaching case resources often affects smooth development clinical ultrasound teaching. Based on picture archiving communication system, audio-visual and data cases were collected gallery was established. The can be used for common diseases, rare new technology interventional to ensure that content is consistent with process. It overcome uneven distribution some patients poor...
There is a pressing need for more accurate computational simulations of the opto-electronic properties defects in materials to aid development quantum sensing platforms. In this work, we explore how computers could be effectively utilized purpose. Specifically, develop fault-tolerant algorithms simulate optically active defect states and their radiative emission rates. We employ embedding theory translate Hamiltonian defect-containing supercell into smaller, effective that accounts...
Text-Attributed Graphs (TAGs) augment graph structures with natural language descriptions, facilitating detailed depictions of data and their interconnections across various real-world settings. However, existing TAG datasets predominantly feature textual information only at the nodes, edges typically represented by mere binary or categorical attributes. This lack rich edge annotations significantly limits exploration contextual relationships between entities, hindering deeper insights into...
Accurate high resolution LAI reference maps are necessary for the validation of coarser satellite derived products. In this paper, an efficient method combining field observations and Landsat ETM+ is proposed based on Bayesian Maximum Entropy paradigm to get more accurate maps. This can take account uncertainties associated with linear relationship between in situ measurements perform a nonlinear prediction interest variable. A comparison surfaces three sites from BIGFOOT project showed that...
Instructional design plays a vital role in the development of pre-service teachers. Sharing and communication based on instructional is norm professional Based activities teachers guided by collaborative knowledge building, this research adopts methods lag sequence analysis content method to analyze compare participation behavior pattern 20 both high- low-achievement groups. This order differences online among diverse achievement levels. Moreover, few suggestions are put forward: We should...
Abstract Background: Tibial plateau fracture is one of the common intra-articular fractures in clinic. And its accurate classification and treatment a difficult problem for orthopedic surgeons. Our research aims to investigate application value 3D printing preoperative planning complex tibial fractures. Methods: 28 cases diagnosed treated our hospital from January, 2017 2019.01 were analyzed. Preoperative spiral CT scan was performed then DICOM data input into computer. We use Mimics process...