Optimized stacking, a new method for constructing ensemble surrogate models applied to DNAPL-contaminated aquifer remediation.

Surfactant-enhanced aquifer remediation (SEAR) is an appropriate method for DNAPL-contaminated aquifer remediation; However, due to the high cost of the SEAR method, finding the optimal remediation scenario is usually essential. Embedding numerical simulation models of DNAPL remediation within the optimization routines are computationally expensive, and in this situation, using surrogate models instead of numerical models is a proper alternative. Ensemble methods are also utilized to enhance the accuracy of surrogate models, and in this study, the Stacking ensemble method was applied and compared with conventional methods.

Folate targeted PEGylated liposomes for the oral delivery of insulin: In vitro and in vivo studies.

In this study using phospholipids with high transition temperature and taking advantage of PEGylation, we designed liposomal formulation targeted with folic acid (FA) to improve the stability of liposomes with high penetration efficiency at the same time. The results of characterization demonstrated that liposomal formulations are in range of 150-210 nm size with negative surface charge. The results of cell uptake indicated that FA conjugation resulted in the more uptake of insulin.

A new methodology for surcharge risk management in urban areas (case study: Gonbad-e-Kavus city).

This research presents a simulation-optimization model for urban flood mitigation integrating Non-dominated Sorting Genetic Algorithm (NSGA-II) with Storm Water Management Model (SWMM) hydraulic model under a curve number-based hydrologic model of low impact development technologies in Gonbad-e-Kavus, a small city in the north of Iran. In the developed model, the best performance of the system relies on the optimal layout and capacity of retention ponds over the study area in order to reduce surcharge from the manholes underlying a set of storm event loads, while the available investment plays a restricting role. Thus, there is a multi-objective optimization problem with two conflicting objectives solved successfully by NSGA-II to find a set of optimal solutions known as the Pareto front.