Search alternatives:
linear decrease » linear increase (Expand Search)
latest decrease » largest decrease (Expand Search), greatest decrease (Expand Search), largest decreases (Expand Search)
larger decrease » marked decrease (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
linear decrease » linear increase (Expand Search)
latest decrease » largest decrease (Expand Search), greatest decrease (Expand Search), largest decreases (Expand Search)
larger decrease » marked decrease (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
-
541
-
542
-
543
-
544
-
545
-
546
-
547
-
548
“Surface Browsing” May Allow “Filter-Feeding” Protozoa to Exert Top-Down Control on Colony-Forming Toxic Cyanobacterial Blooms
Published 2023“…We show that this is not so: the model ciliate Paramecium has an impact on Microcystis populations through grazing, even when large colonies occur, and this leads to a corresponding decrease in toxic microcystins. …”
-
549
“Surface Browsing” May Allow “Filter-Feeding” Protozoa to Exert Top-Down Control on Colony-Forming Toxic Cyanobacterial Blooms
Published 2023“…We show that this is not so: the model ciliate Paramecium has an impact on Microcystis populations through grazing, even when large colonies occur, and this leads to a corresponding decrease in toxic microcystins. …”
-
550
“Surface Browsing” May Allow “Filter-Feeding” Protozoa to Exert Top-Down Control on Colony-Forming Toxic Cyanobacterial Blooms
Published 2023“…We show that this is not so: the model ciliate Paramecium has an impact on Microcystis populations through grazing, even when large colonies occur, and this leads to a corresponding decrease in toxic microcystins. …”
-
551
Data_Sheet_1_Reconstructing Global Chlorophyll-a Variations Using a Non-linear Statistical Approach.pdf
Published 2020“…This paper investigates the ability of a machine learning approach (a non-linear statistical approach based on Support Vector Regression, hereafter SVR) to reconstruct global spatio-temporal Chl variations from selected surface oceanic and atmospheric physical parameters. …”
-
552
Data_Sheet_1_Reconstructing Global Chlorophyll-a Variations Using a Non-linear Statistical Approach.pdf
Published 2020“…This paper investigates the ability of a machine learning approach (a non-linear statistical approach based on Support Vector Regression, hereafter SVR) to reconstruct global spatio-temporal Chl variations from selected surface oceanic and atmospheric physical parameters. …”
-
553
Data_Sheet_1_Reconstructing Global Chlorophyll-a Variations Using a Non-linear Statistical Approach.pdf
Published 2024“…This paper investigates the ability of a machine learning approach (a non-linear statistical approach based on Support Vector Regression, hereafter SVR) to reconstruct global spatio-temporal Chl variations from selected surface oceanic and atmospheric physical parameters. …”
-
554
-
555
-
556
Response of a toggle-switch to pulse inputs.
Published 2014“…For sub-saturating durations, the dependence exhibits an approximately threshold-linear property: there is no activation until the pulse duration is above a threshold; then the activation probability increases linearly (as shown by solid lines, R<sup>2</sup>>0.9) until saturation. …”
-
557
-
558
-
559
-
560