School Management Model in the Pracharath School Project in the Southern Border Provinces to Improve the Quality of Life of Students

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Effectiveness of a Constructivist Design Thinking Instructional Model on Undergraduate Students’ Creative Product Design Ability

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The Context-Adaptive Learning Model (CALM) Enhancing Adaptive English Teaching Competency for Preservice Teachers in Thailand

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Examining Academics’ Decision-Making Processes and Implementation Challenges of Blended Learning Models for Future Higher Education

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Joint Estimation and Inference for Data Integration Problems based on Multiple Multi-layered Gaussian Graphical Models

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Modeling and Encouraging Self-Care in Online Teacher Preparation: Lessons Learned During the COVID-19 Pandemic

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The evolution of open educational practices: a comparative analysis of models and a new framework for the AI era

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Lightweight multimodal large language model enabling efficient one shot industrial visual anomaly detection

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Optimizing machine learning models with multi feature selection for EEG analysis in second language acquisition research

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Measuring accuracy of AI generated definitions using cosine similarity index across select GPT models

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Assimilation of SWOT Reach Water Surface Elevation Product Toward Enhanced Basin‐Scale Discharge Modeling

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High‐Resolution Digital Terrain Model and Land‐Surface Parameters of São Sebastião and Ilhabela, Southeastern Brazil

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A large transient multi-scenario multi-model ensemble of future streamflow and groundwater projections in France

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Centrifuge modeling on seismic response for soil-foundation-building systems supported by shallow foundations and deep basements

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Deep Learning of Systematic Ocean Model Errors in a Coupled GCM From Data Assimilation Increments

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The Influence of Open Boundary Conditions and Model Resolution on Shallow Cloud Organization in Atmospheric Large Eddy Simulations

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ChatMPC: a language-driven model predictive control framework for adaptive and personalized autonomous driving

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Artificial Neural Network Surrogate Modelling for Predicting and Optimising CO2 Conversion to Methanol Under Uncertainty

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Towards Generalisable and Explainable Traffic Signal Control via Deep Reinforcement Learning and Large Language Models

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Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

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