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Then, plan out your response with a model that has an introduction, three supporting details, and conclusion.

To identify the most important predictive variables for ovarian response and establishing a model that could predict the most suitable starting gonadotropin (Gn) dose to optimize ovarian stimulation thus avoiding the undesirable side effects of ovarian hyperstimulation and minimizing cancelation rates.

This is clearly important when studying the effects of RIPC; hormonal and neural pathways are involved in the RIPC response and, in a model that does not incorporate access to the cirulation or neuronal signalling, it is difficult to interpret or extrapolate results to a human clinical level.

There is, however, an alternative line of thinking about the mechanistic path from photoreceptor responses to perception, a model that has previously been successfully used to explain data on ganglion cell responses and psychophysical brightness perception.

The accuracy of parameters extracted from the sensor response is assessed from a model that incorporates both the delivery system characteristics and surface reaction kinetics on SMO sensors.

To understand the complex soil behavior in response to shield penetration, a model that can establish the relationship and make accurate predictions for tunneling-induced ground settlement is needed.

We employed the CPP paradigm to investigate the extinction and reinstatement of the place-conditioned response to MDMA injection, a model that is consistent with drug-seeking behavior.

Based on conflicting reports on effects of MK-801, we propose 1) strategies for distinguishing components of MK-801's effects on responses to stimulants, 2) a model that is a hybrid of the two interpretations of its effects on sensitization, and 3) experimental strategies for testing this model.

These consisted of DC models offering the health state 'dead' as one of the choices for which all participants' responses were used (DCdead)—and a model that included only the responses of participants who chose at least one state as worse than dead (WTD) (DCWTD).

A more conclusive and consequent step would be to replace the non-informative response model for nonresponse adjustments by a model that uses the information collected from nonresponding schools.

The left lateralized response with GD is supportive of a model that proposes lateralization of autonomic functions in the forebrain with left representation of parasympathetic activity (including vagal stimulation) and right representation of sympathetic autonomic activity [73].

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