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Mohammad Derakhshi,Seyed Taghi Akhavan Niaki,Seyed Armin Akhavan Niaki 대한산업공학회 2018 Industrial Engineeering & Management Systems Vol.17 No.3
Supply chain management has gained much interest from researchers and practitioners in recent years. Proposing practical models that efficiently address different aspects of the supply chain is a difficult challenge. This research investigates an integrated production-distribution supply chain problem. The developed model incorporates parties with a specified number of processes to obtain raw materials from the suppliers in order to convert them to semi and final products. These products are then distributed through warehouses to end-distributors having uncertain demands. This uncertainty is captured as a dynamic stochastic data process during the planning horizon and is modeled into a multi-stage stochastic mixed integer linear program using a scenario tree approach. For large-size instances, a hybrid exact-approximate algorithm is proposed, where its effectiveness is assessed via several numerical cases. Furthermore, the model is generalized to its bi-objective version by considering the accessibility of the products based on the safety stock policy of the companies involved. In the end, an existing algorithm is combined with the ε-constraint method to obtain an approximate Pareto front.
Fattahi, Sadegh,Ardekani, Ali Motevalizadeh,Zabihi, Ebrahim,Abedian, Zeinab,Mostafazadeh, Amrollah,Pourbagher, Roghayeh,Akhavan-Niaki, Haleh Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.9
Breast cancer is the most prevalent cancer and one of the leading causes of death among women in the world. Plants and herbs may play an important role in complementary or alternative treatment. The aim of this study was to evaluate the antioxidant and anti-proliferative potential of Urtica dioica. The anti oxidant activity of an aqueous extract of Urtica dioica leaf was measured by MTT assay and the FRAP method while its anti-proliferative activity on the human breast cancer cell line (MCF-7) and fibroblasts isolated from foreskin tissue was evaluated using MTT assay. Mechanisms leading to apoptosis were also investigated at the molecular level by measuring the amount of anti and pro-apoptotic proteins and at the cellular level by studying DNA fragmentation and annexin V staining by flow cytometry. The aqueous extract of Urtica dioica showed antioxidant effects with a correlation coefficient of $r^2$=0.997. Dose-dependent and anti-proliferative effects of the extract were observed only on MCF-7 cells after 72 hrs with an $IC_{50}$ value of 2 mg/ml. This anti proliferative activity was associated with an increase of apoptosis as demonstrated by DNA fragmentation, the appearance of apoptotic cells in flow cytometry analysis and an increase of the amount of calpain 1, calpastatin, caspase 3, caspase 9, Bax and Bcl-2, all proteins involved in the apoptotic pathway. This is the first time such in vitro antiproliferative effect of aqueous extract of Urtica dioica leaf has been described for a breast cancer cell line. Our findings warrant further research on Urtica dioica as a potential chemotherapeutic agent for breast cancer.