Sentence examples for extract properties from inspiring English sources

MAE experiments were planned according to an incomplete 33 factorial design to study the influence of temperature (50 70 °C), liquid solid ratio (5:1–10:1 mL/g) and time (5 15 min) on extraction yield and extract properties.

In the conventional one, the effect of solvent (water, MeOH, EtOH, 50% MeOH and 50% EtOH), temperature (50 and 75 °C) and particle size (ground or unground material) on extraction yield and extract properties (total phenols content (TPC) and FRAP, DPPH and ABTS antioxidant activities) were analyzed.

Experiments were planned according to an incomplete 33 factorial design to study the influence of temperature (25 75 °C), time (30 120 min) and solvent concentration (50 90%) on extraction yield and on extract properties: total phenols content, antioxidant activity (using the FRAP, DPPH and ABTS methods) and average molecular weights.

While the CDEs can be used to tag individual files it is not clear yet how much metadata is necessary to enable automatic data extraction (e.g. extract properties for a single frame from a time series) and processing, and if such metadata can be extracted directly from the files without user input.

The model was able to predict extract properties with maximum deviation of 12% and the extraction process developed herein showed to be reliable, efficient and scalable for M. chamomilla inflorescences, enriched with flavonoids, apigenin and apigenin-7-glycoside and high antioxidant activity.

However, extract properties decreased when temperature was increased.

Our primary rationale for making available these linguistic variability data is that they will provide computational linguists with a useful resource for training and evaluating systems designed to automatically extract property-norm-like semantic feature representations from text corpora.

Broadly, one is interested in extracting properties of (uC_{varphi}) acting on a given Banach space of holomorphic functions on D (boundedness, compactness, spectral properties, etc).

We will compare our approach to the so called DOVID descriptor [6] which extracts properties of the Bidirectional Reflectance Distribution Function (BRDF) for each hologram position out of (in their case) the 32 available color values for each position.

We therefore used a Kruskal-Wallis one-way analysis of variance by ranks to statistically test the population of GP neurons based on these extracted properties (Table 2).

In our approach, various properties can be extracted from different publications so that the system utilizes the extracted properties to derive potential DDIs.