making a rational decision about the free production capacity of a firm requires accurate and comprehensive information in different fields such as unscheduled time of the machines, materials or other required resources status in the firm and the related supply chain. in this study, we try to achieve the needed information through integrating advanced available-to-promise mechanism with schedul...

Modeling and optimization of synthesis gas production via the non-catalytic partial oxidation of methane (NCPO) were studied by minimizing of Gibbs free energy, and comparison studies were carried out to analyze the mechanism of syngas production. For this purpose, concentrations of CO2 and H2O in the feed were optimized in specified pressure and temperature, such that the hydrogen to carbon mo...

this paper has used a multisectoral input-output model of iranian economy to examine the ability of different sectors of economy to create jobs per unit of output as well as capital. the results reveal that there is no conflict in a growth strategy that simultaneously attempts to improve efficiency i.e. reallocating production to sectors with low drcs, equity and job creation. although sectoral...

Conjugated Linoleic Acid (CLA), Glycerol (G) and sunflower oil blends with varying concentration were subjected to enzymatic esterification using a 1, 3- specific immobilized lipase. CLA was used as acyl due to its purported health benefits. The transesterified lipids were evaluated for free fatty acids (FFA) and composition of fatty acids by gas chromatography. Lipozyme RM IM is preferred for ...

abstract diabetes mellitus is one of the major metabolic disorders. diabetes is recognized for severe complications including diabetic nephropathy, neuropathy and retinopathy. long-lasting effect of hyperglycemia results in increased oxidative stress. oxidative stress results from an imbalance between radical-generating and radical scavenging systems. increased oxidative stress has been shown t...

We introduce a new generative model for code called probabilistic higher order grammar (PHOG). PHOG generalizes probabilistic context free grammars (PCFGs) by allowing conditioning of a production rule beyond the parent non-terminal, thus capturing rich contexts relevant to programs. Even though PHOG is more powerful than a PCFG, it can be learned from data just as efficiently. We trained a PHO...