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Exploring the integration of metaverse technologies in engineering education through the SAMR model
Published 2025“…For each stage, the paper plans the tasks for students, possible scenarios, and the role of metaverse technologies. …”
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The hot and cold point distribution of martial arts schools in China
Published 2025Subjects: “…coordinate information presented…”
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The meaning and calculation method of variables in GWR model.
Published 2025Subjects: “…coordinate information presented…”
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Statistics on the number of MASs in China’s provinces.
Published 2025Subjects: “…coordinate information presented…”
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The distribution of martial arts schools and Wushu hometowns in China
Published 2025Subjects: “…coordinate information presented…”
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The Lorenz curve of distribution of Wushu schools of China’s Province.
Published 2025Subjects: “…coordinate information presented…”
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The distribution of martial arts schools in China (
Published 2025Subjects: “…coordinate information presented…”
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The MASs spatial distribution type diagram.
Published 2025Subjects: “…coordinate information presented…”
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Global regression parameters of OLS model.
Published 2025Subjects: “…coordinate information presented…”
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The kernel density analysis of arts schools in China
Published 2025Subjects: “…coordinate information presented…”
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Regional regression parameters of GWR model.
Published 2025Subjects: “…coordinate information presented…”
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Moran’s I index and its test results of martial arts school.
Published 2025Subjects: “…coordinate information presented…”
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Real-Time Optical Imaging Acquisition and Processing in Python: A Practical Guide Using CAS: Code Repository
Published 2025“…The architecture follows the advice presented in the paper.</p><p dir="ltr"><b>CAS example </b><b>:</b> simple example of building a GUI using CAS to apply a Gaussian filter.…”
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Code and data for reproducing the results in the original paper of DML-Geo
Published 2025“…<p dir="ltr">This asset provides all the code and data for reproducing the results (figures and statistics) in the original paper of DML-Geo</p><h2>Main Files:</h2><p dir="ltr"><b>main.ipynb</b>: the main notebook to generate all the figures and data presented in the paper</p><p dir="ltr"><b>data_generator.py</b>: used for generating synthetic datasets to validate the performance of different models</p><p dir="ltr"><b>dml_models.py</b>: Contains implementations of different Double Machine Learning variants used in this study.…”
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