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Hajipour, A.R.,Bagheri, Hamid R.,Ruoho, Arnold E. Korean Chemical Society 2005 Bulletin of the Korean Chemical Society Vol.26 No.11
1-Butyl-4-aza-1-azoniabicyclo[2.2.2]octane dichromate (BAABOD) 3 is a useful reagent for the selective cleavage of trimethylsilyl ethers and tetrahydropyranyl ethers to their corresponding aldehydes and ketones in the presence of $AlCl_3$ under solvent-free conditions. This method is very simple and efficient and the reaction has been carried out under solvent-free conditions in the presence of a catalytically amount of aluminum chloride.
Vahid Hajipour,Madjid Tavana,Francisco J. Santos-Arteaga,Alireza Alinezhad,Debora Di Caprio 한국CDE학회 2020 Journal of computational design and engineering Vol.7 No.4
Supplier selection and order allocation constitute vital strategic decisions that must be made by managers within supply chain management environments. In this paper, we propose a multi-objective fuzzy model for supplier selection and order allocation in a two-level supply chain with multi-period, multi-source, and multi-product characteristics. The supplier evaluation objectives considered in this model include cost, delay, and electronic-waste (e-waste) minimization, as well as coverage and weight maximization. A signal function is used to model the price discount offered by the suppliers. Triangular fuzzy numbers are used to deal with the uncertainty of delay and e-waste parameters while the fuzzy Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) is used to obtain the weights of the suppliers. The resulting NP-hard problem, a Pareto-based meta-heuristic algorithm called controlled elitism non-dominated sorting genetic algorithm (CENSGA), is developed. The Non-dominated Sorting Genetic Algorithm (NSGA-II) and Multi-Objective Particle Swarm Optimization (MOPSO) are used to validate the applicability of the CENSGA algorithm and the Taguchi technique to tune the parameters of the algorithms. The results are analysed using graphical and statistical comparisons illustrating how the proposed CENSGA dominates NSGA-II and MOPSO in terms of mean ideal solution distance (MID) and spacing metrics.
Sara Hajipour,Sayed Mostafa Hosseini,Shiva Irani,Mahmood Tavallaie Korea Genome Organization 2023 Genomics & informatics Vol.21 No.3
Non-small cell lung cancer (NSCLC) is an important cause of cancer-associated deaths worldwide. Therefore, the exact molecular mechanisms of NSCLC are unidentified. The present investigation aims to identify the miRNAs with predictive value in NSCLC. The two datasets were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed miRNAs (DEmiRNA) and mRNAs (DEmRNA) were selected from the normalized data. Next, miRNA-mRNA interactions were determined. Then, co-expression network analysis was completed using the WGCNA package in R software. The co-expression network between DEmiRNAs and DEmRNAs was calculated to prioritize the miRNAs. Next, the enrichment analysis was performed for DEmiRNA and DEmRNA. Finally, the drug-gene interaction network was constructed by importing the gene list to dgidb database. A total of 3,033 differentially expressed genes and 58 DEmiRNA were recognized from two datasets. The co-expression network analysis was utilized to build a gene co- expression network. Next, four modules were selected based on the Z<sub>summary</sub> score. In the next step, a bipartite miRNA-gene network was constructed and hub miRNAs (let-7a-2-3p, let-7d-5p, let-7b-5p, let-7a-5p, and let-7b-3p) were selected. Finally, a drug-gene network was constructed while SUNITINIB, MEDROXYPROGESTERONE ACETATE, DOFETILIDE, HALOPERIDOL, and CALCITRIOL drugs were recognized as a beneficial drug in NSCLC. The hub miRNAs and repurposed drugs may act a vital role in NSCLC progression and treatment, respectively; however, these results must validate in further clinical and experimental assessments.
A. R. Hajipour,Hamid R. Bagheri,Arnold E. Ruoho 대한화학회 2005 Bulletin of the Korean Chemical Society Vol.26 No.11
1-Butyl-4-aza-1-azoniabicyclo[2.2.2]octane dichromate (BAABOD) 3 is a useful reagent for the selective cleavage of trimethylsilyl ethers and tetrahydropyranyl ethers to their corresponding aldehydes and ketones in the presence of AlCl3 under solvent-free conditions. This method is very simple and efficient and the reaction has been carried out under solvent-free conditions in the presence of a catalytically amount of aluminum chloride.
Effect of Cationic and Anionic Porphyrins on the Structure and Activity of Adenosine Deaminase
Ajloo, Davood,Hajipour, Samaneh,Saboury, Ali Akbar,Zakavi, Saeed Korean Chemical Society 2011 Bulletin of the Korean Chemical Society Vol.32 No.9
Kinetic and structural studies have been carried out on the effects of meso-tetrakis(4-sulfonatophenyl)-porphyrin ($H_2TPPS_4$) as an anionic and meso-tetrakis(3-N-methyl-pyridyl)porphyrin ($H_2TMPYP$) as a cationic porphyrin with adenosine deaminase (ADA) in 25 mM citrate/phosphate buffer, pH = 4-8, at $37^{\circ}C$ using UVvis spectrophotometry, circular dichroism (CD), fluorescence spectrophotometry as well as molecular dynamics (MD) and molecular docking. Kinetic results showed that the two porphyrins are non-competitive inhibitors. Increasing pH, increases $K_I$ and cationic porphyrin has a higher $K_I$ and lower binding constant ($K_b$) at all pH ranges. Analyzing the secondary structure revealed that both ligands decrease the secondary structure and that the anionic porphyrin is more effective.
Alinezhad, Alireza,Mahmoudi, Amin,Hajipour, Vahid Korean Institute of Industrial Engineers 2016 Industrial Engineeering & Management Systems Vol.15 No.4
Due to uncertain environment, various parameters such as price, queuing length, warranty, and so on influence on inventory models. In this paper, an inventory-queuing-pricing problem with continuous review inventory control policy and batch arrival queuing approach, is presented. To best of our knowledge, (I) demand function is stochastic and price dependent; (II) due to the uncertainty in real-world situations, a fuzzy programming approach is applied. Therefore, the presented model with goal of maximizing total profit of system analyzes the price and order quantity decision variables. Since the proposed model belongs to NP-hard problems, Pareto-based approaches based on non-dominated ranking and sorting genetic algorithm are proposed and justified to solve the model. Several numerical illustrations are generated to demonstrate the model validity and algorithms performance. The results showed the applicability and robustness of the proposed soft-computing-based approaches to analyze the problem.