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largest decrease » largest decreases (Expand Search), larger decrease (Expand Search), marked decrease (Expand Search)
linear decrease » linear increase (Expand Search)
laser decrease » larger decrease (Expand Search), water decreases (Expand Search), asdr decreased (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
a largest » _ largest (Expand Search), a large (Expand Search), a latest (Expand Search)
largest decrease » largest decreases (Expand Search), larger decrease (Expand Search), marked decrease (Expand Search)
linear decrease » linear increase (Expand Search)
laser decrease » larger decrease (Expand Search), water decreases (Expand Search), asdr decreased (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
a largest » _ largest (Expand Search), a large (Expand Search), a latest (Expand Search)
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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. …”
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685
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. …”
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686
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. …”
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Cell phase volume change evaluated by holographic microscopy.
Published 2015“…The percentage of cells, which show a combination of linear and exponential decay is indicated in the upper histogram panel. …”
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Data.
Published 2023“…Laser power measurements were taken using a calibrated laser power meter (Nova, Ophir Optronics Solutions, Israel) every 10 seconds from 10 to 90 seconds during each of the 40 cycles. …”
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690
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. …”
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(a) Schematic of the confocal lifetime imaging system. Excitation light is provided by a laser diode (λ = 637nm, 170 mW maximum power, which is collimated by a convex lens (L1) and travels through the objective for illumination. It is focused onto the cranial window by a 10×magnification objective (Obj), which is directed to the specific points using galvanometric scanners (xy). Emitted phosphorescence light is separated from excitation light using a beam splitter (BS2) and filter (F) and detected with an avalanche photodiode (APD). The system is controlled by a computer through a data acquisition card (DAQ). (b) In vivo measurements of pO<sub>2</sub>vs mean counts per millisecond as controlled by the diode laser power. Higher laser powers correlate with higher consumption of O<sub>2</sub> leading to a significant decrease of pO<sub>2</sub> estimates over time (seen in the first point when average counts exceed 10000)....
Published 2015“…(b) In vivo measurements of pO<sub>2</sub>vs mean counts per millisecond as controlled by the diode laser power. Higher laser powers correlate with higher consumption of O<sub>2</sub> leading to a significant decrease of pO<sub>2</sub> estimates over time (seen in the first point when average counts exceed 10000). …”
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