Category: Engineering

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  • Numerical simulation on residual axial compression bearing capacity of square in square CFDST columns after lateral impact

    Numerical simulation on residual axial compression bearing capacity of square in square CFDST columns after lateral impact

    General description

    A total of 13 specimens of square in square CFDST column have been designed. The detailed information and loading conditions of the specimens are shown in Table 1. Among them, Bo and Bi represent the side lengths of the outer…

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  • Finite element analysis of maxillary arch distalization using skeletal anchorage at three different application regions

    Finite element analysis of maxillary arch distalization using skeletal anchorage at three different application regions

    The effectiveness of distalization depends on precise force application and strategic anchorage positioning. In continuous archwire systems, inadequate anchorage can cause unpredictable tooth movements due to complex force distribution15,27….

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  • Generative artificial intelligence in entrepreneurship education enhances entrepreneurial intention through self-efficacy and university support

    Generative artificial intelligence in entrepreneurship education enhances entrepreneurial intention through self-efficacy and university support

    Theory of planned behavior

    The Theory of Planned Behavior (TPB) provides a robust and widely validated framework for deciphering the antecedents of individual behavior, particularly within the domain of entrepreneurial intention13,20. In its…

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  • AI image enhancement for failure analysis in 3D quantum information technology

    AI image enhancement for failure analysis in 3D quantum information technology

    SAM measurement and data generation

    We utilize C-Scan SAM to generate the experimental data. Figure 1a shows the basic working principle of a SAM device. The transducer produces acoustic pulses which are focused via an appropriate lens onto the…

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  • An AI framework for time series microstructure prediction from processing parameters

    An AI framework for time series microstructure prediction from processing parameters

    Deformation process modeling with ODF approach

    Polycrystalline materials are composed of multiple crystals with various crystallographic orientations, which determine the microstructural texture. This texture is mathematically described by the ODF

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  • A Multi-kernel CNN model with attention mechanism for classification of citrus plants diseases

    A Multi-kernel CNN model with attention mechanism for classification of citrus plants diseases

    Over the past few decades, the automated methods for identifying and categorizing multiple diseases affecting plant leaves have been developed using a wide range of traditional machine learning models. Consequently, the application of deep…

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  • Soft probes unlock nondestructive testing of micro LED wafers

    Soft probes unlock nondestructive testing of micro LED wafers

    It took scientists just 0.9 megapascals of pressure to pierce a problem holding back the next wave of display technology.

    At Tianjin University, researchers have unveiled a groundbreaking method to test micro-LED wafers without causing…

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  • AI joins Community Notes on X, aims to fight misinformation faster

    AI joins Community Notes on X, aims to fight misinformation faster

    X, formerly known as Twitter, has started testing a new approach in its Community Notes program by bringing AI into the mix. The company has begun piloting the use of large language models (LLMs) to write contextual notes that flag or clarify…

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