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    Machine Learning‐Assisted Optimization of Iodide Electrolytes for Efficient Indoor Dye‐Sensitized Solar Cells with Engineered Photoanodes

    Published in Small Science (2026)
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    Ink‐Printed Thermoelectric Materials and Devices: Material Preparation, Fabrication Techniques, and Applications

    Published in Small Science (2026)
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    CALR-dependent endoplasmic reticulum N-glycoprotein maturation promotes Japanese encephalitis virus entry and replication

    Published in Cell & Bioscience (2026)
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    From space to surface: satellite imaging for algal bloom identification

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    How Does Inflation Reshape Accounting Conservatism Practices?

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    An Empirical Analysis of Cost Efficiency in GCC Banking Sector: A Comparative Study between Islamic & Conventional Banks

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    The Role of ESG Factors in Enhancing Stock Liquidity and Analyst Forecast Accuracy: Evidence from the Johannesburg Stock Exchange

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    Tangibility, Risk, Resilience, and Growth in U.S. Credit Unions: Evidence from Planned and Shock-Driven Non-Loan Assets

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    Intelligent evaluation model for educational management quality based on fuzzy logic and deep neural network data analysis

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    Factors influencing accounting students attitudes towards AI tools in higher education using PLS SEM

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    On the limits of deep neural networks for CAPTCHA recognition under binary block encodings

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    Research on diffusion model image data completion technology for 3D reconstruction of cultural heritage

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    Ball sport action classification and recognition system based on two-stream CNN and feature fusion

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    Deep reinforcement learning-supported innovative design method for intangible cultural heritage creative products

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    Training dynamics and state taxonomy in deep visual recognition networks

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    Dual-stream context aggregation network for waste sorting

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    Ancient book text detection algorithm based on a differentiable binarization network for intangible cultural heritage protection

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    Harnessing artificial intelligence in laboratory diagnostics emerging trends and future prospects

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    Fusion of temporal-spectral features and transformer architectures for automated music mood classification

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    Roadmap for using large language models (LLMs) to accelerate cross-disciplinary research with an example from computational biology

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