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The analysis of beta weights in these three regions revealed that activation differences were based on a deactivation following novel pictures in the comparison group but not in the patient group (Fig. 2B).
Our data show that these results are based on a deactivation in response to erotic stimuli (compared to fixation) in the blocked design, rather than on an increase in activation in response to neutral stimuli.
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A kinetic model for the deactivation of catalyst (based on a HZSM5 zeolite) in the transformation of methanol into gasoline is proposed from results obtained in an isothermal fixed bed integral reactor.
A catalyst deactivation model is developed based on a random carbon deposition mechanism over nickel reforming catalyst.
The validity of a kinetic model for describing the deactivation of a catalyst based on a HZSM5 zeolite has been studied by carrying out reaction in fixed and fluidized bed reactors.
The kinetics of the reversible and irreversible deactivation of the catalyst (based on a HZSM-5 zeolite) in the methanol to olefins process, in the 673 773 K range, has been obtained from experimental results in fixed-bed reactor operating under reaction regeneration cycles.
Table 2 summarizes the findings of default mode network imaging studies in the resting state and deactivation during cognitive tasks based on a recent published review [ 29].
The kinetic model was developed based on a four-step mechanism: site activation, initiation and propagation, chain transfer and site deactivation.
This work addresses the design of reactive distillation columns to produce ETBE, based on a detailed first-principles model that considers equilibrium and kinetic information, rigorous physical property data, and catalyst deactivation.
At last, a triple-bed circulating fluidized reactor system based on a large degree of deactivation long time regeneration cycle test was proposed to realize an effectively continuous regeneration of Mo/HZSM-5 and therefore an efficiently continuous conversion of CH4 to benzene.
The design of our online controller is based on a simple ∊-greedy algorithm and learns the optimal threshold policy for activation/deactivation of network resources.
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