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  1. 4921

    Occurrence and distribution of citrus tatter leaf disease in Zhejiang and genetic diversity analysis of its pathogen by LU Lianming, LIU Shunmin, AN Baoju, DU Danchao, HU Xiurong, PU Zhanxu, LÜ Jia

    Published 2025-06-01
    “…[Objective] Citrus tatter leaf disease is a viral disease that harms citrus trees. Currently, it is showing an increasing trend of spreading and causing plant weakness, death, and even large-scale destruction of orchards. …”
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    Article
  2. 4922

    Artificial intelligence in Anatomy: Potential uses and challenges by Lubna Faisal

    Published 2025-04-01
    “…One more example of AI in anatomy teaching is ChatGPT. No doubt it increases students’ engagement, and ability to learn and has strong text analysis. …”
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    Article
  3. 4923

    Regulatory culture and architectural project by Mario Losasso

    Published 2024-06-01
    “…They are attentive to a quality that does not depend on construction solutions or on techno-typological, morphological or physical-chemical characteristics, but which is linked to a system of needs to be satisfied, the outcome of the interaction between construction and cultural, socio-economic and environmental context. Today’s regulatory landscape has expanded, increasing sensitivities to environmental challenges, health and the qualities of living space. …”
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    Article
  4. 4924

    “Locality – Adaptation” Research of Hydropower Resettlement Communities in the Jinsha River Basin: A Case Study of Ludila Hydropower Station by Fang WANG, Zhuoqi LI, Haoyi XU, Jiaqi YAN

    Published 2025-04-01
    “…ObjectiveWithin human – environment systems, river basins constitute the earliest geographical units of human activity and currently represent the most critical zones of strained human – environment interactions. …”
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    Article
  5. 4925

    On the added value of sequential deep learning for the upscaling of evapotranspiration by B. Kraft, B. Kraft, B. Kraft, J. A. Nelson, S. Walther, F. Gans, U. Weber, G. Duveiller, M. Reichstein, W. Zhang, M. Rußwurm, D. Tuia, M. Körner, Z. Hamdi, M. Jung

    Published 2025-08-01
    “…However, together with the non-temporal FCN model, they exhibited a larger ensemble spread than XGBoost, and they yielded lower global ET estimates than what is currently understood. XGBoost showed a smaller ensemble spread compared to neural networks, in particular when conditions were poorly represented in the training data, but it was more sensitive to the covariate setup. …”
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  6. 4926