Sentence examples for shift models with from inspiring English sources

Twelve-hour shift models with quick changeovers (e.g., the morning and the night shift in the same 24-hour period) should be avoided to allow for longer rest periods between shifts.

A simple example of Theorem 2 occurs when the mixtures are defined by a log-concave location shift model with location parameters (theta _{D_{1}}

We build the spectral shift model with correction factors composed of wavenumber squeeze and offset, designed the method of estimating the a priori information of wavenumber offset through convolution kernel, and developed the retrieval method of correction factors based on a priori information.

Time-shift models with different lag times will be used to gain insight into the time delay between exposure and mood and the occurrence of symptoms.

We compare our proposed models with the existing Shift Model, which is represented by Equation 23.

Simulations, on the other hand, also indicated that with increasing noise levels (starting at 5% noise, corresponding with noise at the level of the coronary territory), precision of all parameter estimates using this model rapidly decreased (Table 3) and that, for higher noise levels, model preference shifted towards models with fewer parameters (Table 2).

For estimating the effect of alignment shifts in models with otherwise correct fold and stereochemistry, we created pseudomodels starting from the original protein structure and introducing threading errors of increasing magnitude for different representative structure architectures from CATH (Cuff et al., 2011).

The channel is selected to be the AWGN channel with phase shift modeled by the random walk (RW) phase model.

We evaluated the prediction accuracy of the proposed models by comparing their performance with the Shift Model under varied prediction interval using the real data collected in the traffic simulator SUMO.

In the shift model, plants adapt to pollinators with preexisting tongue lengths (one-sided evolution), but the mechanism of selection on corolla tube length is usually identical to that in the Darwin model (Fig. 1) Studies of the African Disa draconis complex of orchids showed that spur length evolution could be explained by shifts between pollinators (Johnson and Steiner 1997).

Simulation results confirmed that the proactive route guidance helps greatly reduce average travel time by up to 70% compared to the reactive ones, and the proposed traffic prediction models can further reduce average travel time by up to 14% in comparison with the existing Shift Model.