Sentence examples for measurements of aggregation from inspiring English sources

IM uses the number of occurrences among subsections of sampling areas (i.e., windows) to estimate measurements of aggregation based on a sampling probability.

Measurements of aggregation parameters were carried out at native hematocrit.

Measurement of aggregation by turbidity appears to result in an increase of 5 42% in the FT2-proteins compared to their nontagged counterparts.

The experimental design therefore led to the measurement of aggregation for two repetitions of five replicate tubes each for each of the ten T. thermophila strains, giving ten replicates per strain (exceptions due to technical problems: five for strain B and nine for strain D2).

Measurement of aggregation by using ThT fluorescence: All fluorescence experiments were performed at 30 °C on a Perkin Elmer EnVision 2103 Multilabel reader (excitation filter: photometric 440, band width: 8 nm; emission filter: FITC 485, band width: 14 nm; general beam splitter in the optical path; ten flashes per well), by using a 96-well plate (MicroFluor).

Measurements of critical aggregation concentrations (CACs) suggest that, of the over 2000 observed aggregators to date, these chemotherapeutics are among the molecules most prone to aggregation, with three, fulvestrant, nilotinib, and sorafenib, having a CAC below 1 μM.

Turbidometric measurements of platelet aggregation of the samples were performed in a Chronolog Model 700 Aggregometer (Chronolog Corporation, Havertown, PA, USA) according to Born's method [15, 16].

The intensities (Is) required for half-maximal photoresponses were used for the following measurements of photoresponses (aggregations: 12.90 log photons cm−2 s−1; dispersions: 13.32 log photons cm−2 s−1).

Microorganism aggregation can be quantified by measurement of the aggregation index and is positively correlated with membrane hydrophobicity (Malik et al. 2003).

Single-molecule counting of Cy3-labeled Htt-ex1, Factor Xa cleavage of MBP-Htt-ex1-Alexa 647, fluorophore selection, ratio of labeled Htt-ex1 in aggregates, ensemble measurements of Htt-ex1 aggregation over time, characterization of AX647 as a label of Htt-ex1 under blinking conditions, and Htt-ex1 seed growth.

Three types of estimation problem are discussed: (1) bias due to omitted variables, such as ability or frailty; (2) bias due to the measurement of an aggregation of multiple sources of human capital, e.g. genetic and socially reproducible variation, which may contribute to different gains in worker productivity; and (3) errors in measurement of the human capital stocks.