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The conditional logistic regression model was based on 76 subjects exposed to ≥ 50 μg/L As in drinking water; this model was adjusted by age, sex, and TWE.
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Thus the allocation of water with this model technique assures of optimal supply of water to strategic consumers on the satisfaction of the prevalent constraints.
However, the water layers in this model do not contain H+ or OH-.
Moreover, the location and breadth of the water release from this model gives insights into the position and breadth of the SAFS.
In the previous work of Chibane et al. the hydrological model was derived from the hydrological water budget, however, this model presents a high deviation in estimation of recharge for low precipitation value (P < 400 mm).
Previous research demonstrated that 12- O-tetradecanoylphorbol-13-acetate (TPA) treatment increased the number of skin papillomas in v-Ha- ras transgenic (Tg.AC) mice that had received sodium arsenite [(As III)] in drinking water, indicating that this model is useful for studying the toxic effects of arsenic in vivo.
In this model, water and sand are perceived as dispersed water droplets and sand particles.
This water model was selected among a number of nonpolarizable water potentials including TIP3P/TIP4P and SPC due to a better prediction (the reported error is less than 1%) of enthalpies of vaporization Δ HVAP, liquid densities ρ, and self-diffusion coefficients DW within the temperature ranging from 235.5 to 400 K.
Mean per hectare values of the water supply scheme using this model was $18.4.
In this model water is supposed to be actively involved in the binding mechanism as hydrogen bonded bridges.
In this model, water is viewed as sacred and not subject to private ownership.
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