Search alternatives:
we decrease » _ decrease (Expand Search), nn decrease (Expand Search), teer decrease (Expand Search)
ng decrease » nn decrease (Expand Search), _ decrease (Expand Search), gy decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
we decrease » _ decrease (Expand Search), nn decrease (Expand Search), teer decrease (Expand Search)
ng decrease » nn decrease (Expand Search), _ decrease (Expand Search), gy decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
-
1401
Independent predictors of poor short-term outcome<sup>a</sup> in the studied cohort.
Published 2021Subjects: -
1402
-
1403
Recombination of Autodissociated Water Ions in a Nanoscale Pure Water Droplet
Published 2025“…We found that the self-diffusion of water dramatically decreases in droplets with a diameter below 2.2 nm. …”
-
1404
Recombination of Autodissociated Water Ions in a Nanoscale Pure Water Droplet
Published 2025“…We found that the self-diffusion of water dramatically decreases in droplets with a diameter below 2.2 nm. …”
-
1405
Recombination of Autodissociated Water Ions in a Nanoscale Pure Water Droplet
Published 2025“…We found that the self-diffusion of water dramatically decreases in droplets with a diameter below 2.2 nm. …”
-
1406
Recombination of Autodissociated Water Ions in a Nanoscale Pure Water Droplet
Published 2025“…We found that the self-diffusion of water dramatically decreases in droplets with a diameter below 2.2 nm. …”
-
1407
Recombination of Autodissociated Water Ions in a Nanoscale Pure Water Droplet
Published 2025“…We found that the self-diffusion of water dramatically decreases in droplets with a diameter below 2.2 nm. …”
-
1408
Recombination of Autodissociated Water Ions in a Nanoscale Pure Water Droplet
Published 2025“…We found that the self-diffusion of water dramatically decreases in droplets with a diameter below 2.2 nm. …”
-
1409
Recombination of Autodissociated Water Ions in a Nanoscale Pure Water Droplet
Published 2025“…We found that the self-diffusion of water dramatically decreases in droplets with a diameter below 2.2 nm. …”
-
1410
Recombination of Autodissociated Water Ions in a Nanoscale Pure Water Droplet
Published 2025“…We found that the self-diffusion of water dramatically decreases in droplets with a diameter below 2.2 nm. …”
-
1411
Recombination of Autodissociated Water Ions in a Nanoscale Pure Water Droplet
Published 2025“…We found that the self-diffusion of water dramatically decreases in droplets with a diameter below 2.2 nm. …”
-
1412
Recombination of Autodissociated Water Ions in a Nanoscale Pure Water Droplet
Published 2025“…We found that the self-diffusion of water dramatically decreases in droplets with a diameter below 2.2 nm. …”
-
1413
Recombination of Autodissociated Water Ions in a Nanoscale Pure Water Droplet
Published 2025“…We found that the self-diffusion of water dramatically decreases in droplets with a diameter below 2.2 nm. …”
-
1414
Recombination of Autodissociated Water Ions in a Nanoscale Pure Water Droplet
Published 2025“…We found that the self-diffusion of water dramatically decreases in droplets with a diameter below 2.2 nm. …”
-
1415
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. …”
-
1416
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. …”
-
1417
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. …”
-
1418
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. …”
-
1419
-
1420