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we decrease » _ decrease (Expand Search), nn decrease (Expand Search), teer decrease (Expand Search)
0 decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
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Time profiles for complement regulators Factor H, CR1, DAF, vitronectin, clusterin, and CD59.
Published 2016“…<p>(A, B) The concentrations of Factor H and CR1 decrease, with Factor H showing initially a linear like response. …”
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A cash-based intervention and the risk of acute malnutrition in children aged 6–59 months living in internally displaced persons camps in Mogadishu, Somalia: A non-randomised clust...
Published 2018“…In addition, between June and November 2016, data to assess acute malnutrition incidence were collected monthly from a cohort of children aged 6–59 months, exhaustively sampled from the intervention (<i>n</i> = 759) and control (<i>n</i> = 1,379) arms (child cohort). …”
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Table_1_Overexpression of Maize ZmMYB59 Gene Plays a Negative Regulatory Role in Seed Germination in Nicotiana tabacum and Oryza sativa.doc
Published 2020“…In this study, to examine its functions during seed germination, Agrobacterium-mediated transformation was exploited to generate ZmMYB59 overexpression (OE) tobacco and rice. In T<sub>2</sub> generation transgenic tobacco, germination rate, germination index, vigor index and hypocotyl length were significantly decreased by 25.0–50.9, 34.5–54.4, 57.5–88.3, and 21.9–31.3% compared to wild-type (WT) lines. …”
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The flowchart of the participants screening.
Published 2023“…After adjusted for covariables, we found that enough dietary Ca consumption was related to a decreased risk of glaucoma [OR = 0.59, 95%CI: (0.42–0.81)], whether in persons with/without hypertension (all <i>P</i><0.05). …”
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S1 File -
Published 2024“…The CSPM, driven by the optimized CSPs, is then evaluated against two independent phenological datasets from Exp. 2 and Exp. 4 described in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0302098#pone.0302098.t002" target="_blank">Table 2</a>. Root means square error (RMSE) (mean absolute error (MAE), coefficient of determination (R<sup>2</sup>), and Nash Sutcliffe model efficiency (NSE)) are 15.50 (14.63, 0.96, 0.42), 4.76 (3.92, 0.97, 0.95), 4.69 (3.72, 0.98, 0.95), 3.91 (3.40, 0.99, 0.96) and 12.54 (11.67, 0.95, 0.60), 5.07 (4.61, 0.98, 0.93), 4.97 (4.28, 0.97, 0.94), 4.58 (4.02, 0.98, 0.95) for using one, two, three, and four observed phenological stages in the CSPs estimation. …”
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Detailed information on field experiments.
Published 2024“…The CSPM, driven by the optimized CSPs, is then evaluated against two independent phenological datasets from Exp. 2 and Exp. 4 described in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0302098#pone.0302098.t002" target="_blank">Table 2</a>. Root means square error (RMSE) (mean absolute error (MAE), coefficient of determination (R<sup>2</sup>), and Nash Sutcliffe model efficiency (NSE)) are 15.50 (14.63, 0.96, 0.42), 4.76 (3.92, 0.97, 0.95), 4.69 (3.72, 0.98, 0.95), 3.91 (3.40, 0.99, 0.96) and 12.54 (11.67, 0.95, 0.60), 5.07 (4.61, 0.98, 0.93), 4.97 (4.28, 0.97, 0.94), 4.58 (4.02, 0.98, 0.95) for using one, two, three, and four observed phenological stages in the CSPs estimation. …”
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List of symbols used in this study.
Published 2024“…The CSPM, driven by the optimized CSPs, is then evaluated against two independent phenological datasets from Exp. 2 and Exp. 4 described in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0302098#pone.0302098.t002" target="_blank">Table 2</a>. Root means square error (RMSE) (mean absolute error (MAE), coefficient of determination (R<sup>2</sup>), and Nash Sutcliffe model efficiency (NSE)) are 15.50 (14.63, 0.96, 0.42), 4.76 (3.92, 0.97, 0.95), 4.69 (3.72, 0.98, 0.95), 3.91 (3.40, 0.99, 0.96) and 12.54 (11.67, 0.95, 0.60), 5.07 (4.61, 0.98, 0.93), 4.97 (4.28, 0.97, 0.94), 4.58 (4.02, 0.98, 0.95) for using one, two, three, and four observed phenological stages in the CSPs estimation. …”
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Data sources for calibration and evaluation.
Published 2024“…The CSPM, driven by the optimized CSPs, is then evaluated against two independent phenological datasets from Exp. 2 and Exp. 4 described in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0302098#pone.0302098.t002" target="_blank">Table 2</a>. Root means square error (RMSE) (mean absolute error (MAE), coefficient of determination (R<sup>2</sup>), and Nash Sutcliffe model efficiency (NSE)) are 15.50 (14.63, 0.96, 0.42), 4.76 (3.92, 0.97, 0.95), 4.69 (3.72, 0.98, 0.95), 3.91 (3.40, 0.99, 0.96) and 12.54 (11.67, 0.95, 0.60), 5.07 (4.61, 0.98, 0.93), 4.97 (4.28, 0.97, 0.94), 4.58 (4.02, 0.98, 0.95) for using one, two, three, and four observed phenological stages in the CSPs estimation. …”
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Satellite data based estimation of methane emissions from rice paddies in the Sanjiang Plain in northeast China
Published 2017“…The averaged CH<sub>4</sub> flux rates were 24.83, 24.63, and 24.59 ton km<sup>-2</sup>, and the estimated mean annual CH<sub>4</sub> emissions from rice paddies were 0.30, 0.36, and 0. 40 Tg yr<sup>-1</sup> in 2000, 2006, and 2010, respectively. …”
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