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  1. 58061

    WetCH<sub>4</sub>: a machine-learning-based upscaling of methane fluxes of northern wetlands during 2016–2022 by Q. Ying, Q. Ying, B. Poulter, J. D. Watts, K. A. Arndt, A.-M. Virkkala, L. Bruhwiler, Y. Oh, Y. Oh, B. M. Rogers, S. M. Natali, H. Sullivan, A. Armstrong, A. Armstrong, E. J. Ward, E. J. Ward, L. D. Schiferl, C. D. Elder, C. D. Elder, O. Peltola, A. Bartsch, A. R. Desai, E. Euskirchen, M. Göckede, B. Lehner, M. B. Nilsson, M. Peichl, O. Sonnentag, E.-S. Tuittila, T. Sachs, T. Sachs, A. Kalhori, M. Ueyama, Z. Zhang, Z. Zhang

    Published 2025-06-01
    “…The most important predictor<span id="page2508"/> variables included near-surface soil temperatures (top 40 cm), vegetation spectral reflectance, and soil moisture. Our results, modeled from 138 site years across 26 sites, had relatively strong predictive skill, with a mean <span class="inline-formula"><i>R</i><sup>2</sup></span> of 0.51 and 0.70 and a mean absolute error (MAE) of 30 and 27 nmol m<span class="inline-formula"><sup>−2</sup></span> s<span class="inline-formula"><sup>−1</sup></span> for daily and monthly fluxes, respectively. …”
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    Leveraging Real-Time Population-Scale GPS Data to Forecast and Identify Components of Epidemic Dynamics by Dr Alejandra Hidalgo, Dr Steven Schulz, Dr Ashish Thampi, Richard Pastor

    Published 2025-03-01
    “…It allows us to explore the effect of viral transmissibility without relying on molecular biology, enhancing our ability to monitor public health interventions. [1] Schulz, Steven, et al. https://doi.org/10.1101/2023.03.02.23286502 [2] Jin, Yuxue, et al. https://research.google/pubs/bayesian-methods-for-media-mix-modeling-with-carryover-and-shape-effects/…”
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