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The contents of all these mathematical objects are found in Additional file 1: Tables S1 (Stoichiometric matrix), Additional file 1: Table S2 (variable list), Additional file 1: Table S3 (flux list), Additional file 1: Table S4 (rate laws), Additional file 1: Table S5 (kinetic constant values), and Additional file 1: Table S6 (miscellaneous parameter values).
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The remaining few model parameters (see Table S1) are miscellaneous parameters unrelated to the tumor's dynamics.
In this research, miscellaneous cost parameters of the cell formation and demand fluctuations are subject to uncertainty and a mixed-integer nonlinear programming model is developed to formulate the related robust dynamic cell formation problem.
In addition, this hyper-parameter serves miscellaneous functions, depending on each parameter set: for (r_mathrm{offspring}), (p_mathrm{min}) allows the reward value to be bounded in a probabilistic range, while in contrast, for (r_mathrm{population}), (p_mathrm{min}) is involved in the definition of a hazardous area and penalizes parameter states that navigate into it.
The Pearson correlation and Spearman rank correlation coefficients were performed to determine the association between age at time of injury, injury severity and the miscellaneous long-term outcome parameters.
The miscellaneous sub-criteria may include many parameters such as the footprint, easiness of maintenance, import and export limitations on the CCHP components, lifetime, etc.
LTE DRX research in the literature can be classified into the following categories: modeling for performance analysis, optimized selection of DRX parameters, traffic characteristic-based heuristic mechanisms, and miscellaneous schemes.
Table 14 Adsorption capacities (AC) and other parameters for the removal of fluoride by miscellaneous adsorbents Adsorbent AC (mg/g) CR (mg/L) pH Ref. Bleaching powder 0.2 5 6.7 [128] Magnesia loaded fly ash cenospheres 6.0 100 3.0 [131] Modified granules (Ce(III)–MAG) 4.80 4-20 3-5 [132] KMnO4 modified carbon 15.9 20 2.0 [15.9.
Generally, the presented study is an extension of the previous studies Kia et al. (2012), Bagheri and Bashiri (2014) by integrating the CF, production planning (PP) and worker assignment in a mathematical model with data uncertainties in most parameters of model including part demand and miscellaneous costs which is solved by a scenario-based robust optimization approach.
Reasons for exclusion were an extracranial AIS score >3 (n = 76), age <16 years (n = 41), use of coumarins (n = 9), liver failure (n = 3), missing coagulation parameters at admission (n = 8) and <span class="lh">miscellaneous reasons (n = 3).
A response surface methodology (RSM) with a three-level factorial design (miscellaneous) was used as the experimental design model to optimize the key process parameters for enhanced hydrogen production.
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CEO of Professional Science Editing for Scientists @ prosciediting.com