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"The waste processing plants are far away as nobody wants to live anywhere them – so you need a solid business model for waste collection".
Design of multi-waste, multi-echelon, multi-uncertainty reverse logistics model for waste management network would also be preferred.
Recently, Lu et al. ([2008]) proposed a greenhouse gas (GHG) mitigation-induced rough-interval programming model for waste management under dual uncertainties, which integrated the concepts of rough-interval and GHG mitigation within a general interval-parameter programming framework.
Based on the thermoelectric effect and heat transfer theory, a dynamic model for waste heat recovery in a general TEG was developed to asses the influence of heat reservoir and heat sink.
Huang et al. ([2008]) developed a fuzzy interval semi-infinite programming model for waste management, which can allow for the existence of tolerance intervals for each of the constraints and address the possible effects of energy prices on the identified waste management policies.
Lime Stabilization technique has proven to be a simple, safe, cost effective, easily available and environmentally protective alternative model for waste treatment especially in resource constrained settings.
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The activity of the waste treatment sectors was estimated using the model described in Sect. 2 and the engineering sub-model for waste treatment developed by Matsuto (2005), which was also used in the estimation of WIO2000 (Nakamura 2010).
This will lead to development of appropriate constitutive models for waste and hence to optimization of landfill designs by considering waste/lining system interaction in full.
The data produced is of upmost importance for quantitative risk evaluations such as models for waste burial in low permeability units.
As seen within this section, modeling for waste stabilization ponds has been conducted and improved to not only consider specific individual constituents, but also model various phenomena that can occur within the system.
With the analysis restricting enrollment to individuals who participated in the program and received their assigned antibiotic treatment at baseline, there was no significant change in the results for the association of antibiotic treatment and anthropometry in the logistic regression models for wasting, low MUAC, stunting, and underweight (data not shown).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com