Sentence examples for transition data for from inspiring English sources

The detailed ion transition data for MRM mode was shown in Table 3.

This study report the high pressure phase transition data for methane + N-methyl-2-hydroxyethylammonium propanoate, bis 2-hydroxyethyl)ammonium propanoate, or 2-hydroxyethylammonium propanoate.

The importance of reliable and precise phase transition data for thermochemical calculations such as the prediction of solid/liquid phase behaviour of chiral compounds is highlighted.

Model predictions of the trickle-to-pulse transition for gas non-Newtonian liquid systems were confronted with elevated temperature and pressure experimental transition data obtained for air–0.25 and 0.5 mass(carboxymethylcellulose) CMC solution systems measured by means of an electrical conductivity technique.

Therefore, they provide user-friendly and broadly applicable tools for continuous time analyses for typical ontogenic transition data sets, as well as for predicting transitions at very fine time scales.

Also, as the transition matrix changes with respect to the change in transition rates, the complete transition matrix data for this case study was, thus, not evaluated for both the systems under different failure and repair rate variations.

Matrix elements of physical operators are required when the accurate theoretical determination of atomic energy levels, orbitals and radiative transition data need to be obtained for open-shell atoms and ions.

When G1-arrested cells were released into the nitrogen-depleted medium, only small portion of cells entered S phase, confirming that nutrient is indispensable for G1/S transition (data not shown).

The models presented in this study make the concept of probabilistic modelling of ontogenetic life-history transitions in continuous time more easily accessible, by offering easy-to-use tools for analysing transition data typically available from wild with little prior knowledge of mechanisms underlying transitions.

In this paper, a novel transition process identification algorithm based on distributed model projection (DMP) is proposed for clustering nonlinear transition data and monitoring the variations in the transition process.

For the hypoxic transition data set, we calculate a value of 0.48 (p = 1.7 × 10−5).