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Rice model

Fig. 14. The Gibbs free energy of liquid water calculated from the Weres-Rice Model (from... Fig. 14. The Gibbs free energy of liquid water calculated from the Weres-Rice Model (from...
Fig. 15. The enthalpy of liquid water calculated from the Weres-Rice model (from Ref. 64>) Fig. 16. The entropy of liquid water calculated from the Weres-Rice model (from Ref. 84>) Fig. 17. The specific heat of liquid water calculated from the Weres-Rice model (from Ref. 64>)... Fig. 15. The enthalpy of liquid water calculated from the Weres-Rice model (from Ref. 64>) Fig. 16. The entropy of liquid water calculated from the Weres-Rice model (from Ref. 84>) Fig. 17. The specific heat of liquid water calculated from the Weres-Rice model (from Ref. 64>)...
Fig. 18. The hindered translational region of the vibrational spectrum as predicted by the Wores Rice model (from Ref. 64>)... Fig. 18. The hindered translational region of the vibrational spectrum as predicted by the Wores Rice model (from Ref. 64>)...
An intuitive method for controlling the motion of a wave packet is to use a pair of pump-probe laser pulses, as shown in Fig. 13. This method is called the pump-dump control scenario, in which the probe is a controlling pulse that is used to create a desired product of a chemical reaction. The controlling pulse is applied to the system just at the time when the wave packet on the excited state potential energy surface has propagated to the position of the desired reaction product on the ground state surface. In this scenario the control parameter is the delay time r. This type of control scheme is sometimes referred to as the Tannor-Rice model. [Pg.157]

In fact, the Zlram-Rice model describes qualitatively similar changes in the titration curves for polyglutamic acid (Ref. 79, p. 402, Fig. 3) as those changes plotted in Fig. 2 an Increase in ionic strength shifts the pK to the left and increases the... [Pg.244]

Another poly(A) site prediction tool, PAG, was designed to extract poly(A) sites from known dataset (with poly(A) specified) and use this information to predict poly(A) sites from unknown sequences. This is powerful when dealing with a new species that is substantially different (or do not know if there is different) from Arabidopsis or rice models. It constitutes three major steps. In the first step, PAG takes a set of nucleotide sequences as input and imports the parameter file for the classification model and the features. In the second step, a classification algorithm is performed to train and test the model. In the final step, the output files are generated. The output of PAG is a few text files with one of them containing the probabilities of each sequence to determine the potential poly(A) sites and the others as intermediate files. [Pg.15]

The Fehrenbacher and Rice model had clear advantages over the other models put forward, however it had a number of difficulties. Some of these problems have been addressed, and in the remainder of this section we shall concentrate on this model and its more modern versions. [Pg.480]

The main shortcoming of the original Fehrenbacher-Rice (1993b) model was its inability to describe the different rate of suppression with the different rare-earth hosts. The modification in the Liechtenstein-Mazin (1995) model, derived from LDA+U calculation, explained this phenomenon naturally. Unlike the Fehrenbacher-Rice model, the LDA+U treatment expresses the FR state in a band form. The position of the band... [Pg.484]


See other pages where Rice model is mentioned: [Pg.156]    [Pg.244]    [Pg.203]    [Pg.362]    [Pg.599]    [Pg.152]    [Pg.453]    [Pg.480]    [Pg.480]    [Pg.480]    [Pg.481]    [Pg.482]    [Pg.482]    [Pg.482]    [Pg.485]    [Pg.362]    [Pg.333]   


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