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    Earth Materials and Processes / by Feather, Ralph M.

    Published 2002
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    Book
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    MHRA-MS-3D-ResNet-BiLSTM: A Multi-Head-Residual Attention-Based Multi-Stream Deep Learning Model for Soybean Yield Prediction in the U.S. Using Multi-Source Remote Sensing Data by Mahdiyeh Fathi, Reza Shah-Hosseini, Armin Moghimi, Hossein Arefi

    Published 2024-12-01
    “…We trained the MHRA-MS-3D-ResNet-BiLSTM model using multi-source RS datasets from 2019 and 2020 and evaluated its performance with U.S. soybean yield data for 2021 and 2022. The results demonstrated the model’s robustness and adaptability to unseen data, achieving an R<sup>2</sup> of 0.82 and a Mean Absolute Percentage Error (MAPE) of 9% in 2021, and an R<sup>2</sup> of 0.72 and MAPE of 12% in 2022. …”
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    Protocol of the TransformUs SecondaryTeachers’ perceptions of the program reach, effectiveness,adoption, implementation and maintenance schools program: a type II hybrid implementation-effectiveness trial to increase adolescents’ physical activity and reduce sedentary time in secondary schools by Harriet Koorts, Anna Timperio, Jo Salmon, David Revalds Lubans, Gavin Abbott, Nicola D Ridgers, Natalie Lander, Ana María Contardo Ayala, Emiliano Mazzoli

    Published 2025-02-01
    “…Introduction Despite the known health and educational benefits of physical activity and the risks of prolonged sedentary behaviour, only one in 10 adolescents globally meet physical activity guidelines, and three-quarters of the school day is spent sitting. TransformUs, an effective and cost-effective whole-of-school programme for promoting primary school children’s physical activity and reducing sedentary behaviour, has been adapted for secondary schools (TransformUs Secondary). …”
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    Article
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