Many plant species can be efficiently propagated vegetatively through the use of cuttings. Although simple to implement, the success rate of this method is restricted by the plants ability to produce adventitious roots. Auxin hormones are commonly used to induce adventitious roots in propagation by cuttings. The auxin metabolism influences plant growth and is significant because it can also affect the rooting performance of the IBA hormone commonly used during steel production. Olive trees (Olea europaea L.) are among the species that are commonly propagated using cuttings. However, the rooting success of olive cultivars grown for agriculture varies. For these reasons we analyzed the gene structure and expression rates of Olive TIR1, which is the receptor of auxins. We chose Gemlik (easy to root) and Domat (Hard to root) cultivars for the gene expression analysis. Our analysis revealed that OeTIR1 is coded by Oeu047472.1 and it contains 3 exons and codes for 594 amino acid protein and a coding sequence of 1785 nucleotides. Gene expression results showed different expression patterns between cultivars. Results indicate that in Gemlik cultivar expression of OeTIR1 does not show any upregulation after IBA application. Domat however showed an increase in expression only after 7 days.

A risk sensitive model for allocation of crops is considered in this work. The constructed model was designed to help farmers decision making process, thereby maximizing the use of agricultural land. Market price, cost of cultivation, yield of crops and climatic conditions were factors considered in the models. The theory of chance constraint programing was used to handle uncertainties that arise in crop planing. Data of known yield of crops were harvested and analyzed with the help of statistical tools. A class of Pollination Intelligence Algorithm was adopted to solve the model.

Modeling and simulation of an adsorption-based gas separation process require accurately measured gas adsorption isotherms and isotherm model fittings. In this study, adsorption equilibria data of pure Methane (CH4) and Carbon Dioxide (CO2) onto activated carbon adsorbent (Calgon Co.) were extracted from the literature. Each experimental isotherm was correlated by the Simple Langmuir (SL), Dual Process Langmuir (DPL), Three Process Langmuir (TPL), Toth, and the Unilan models and the deviations were evaluated. Other than SL, all four models showed very good agreement with the experimental data. The fitting parameters for all models presented in this article can be used for any type of adsorption-based separation modeling which includes the BPL-activated carbon and analyzed gases.

Carboplatin is an alkylating antineoplastic drug. Although carboplatin induces apoptosis in rapidly dividing cells like cisplatin, it has fewer side effects. The use of platinum compounds as antineoplastic agents at high doses causes hepatotoxicity, which is important in dose regulation. Levodopa is used as a precursor for dopamine synthesis in the brain in the treatment of Parkinson's disease. Dopamine synthesized in the liver from levodopa cannot cross the blood-brain barrier. There are studies suggesting that dopamine may have a protective effect on hepatocytes. In our study, we aimed to evaluate the cytoprotective effect of levodopa in cell damage induced by carboplatin in the liver cell line. Cell viability was evaluated by MTT test by exposing AML-12 hepatocyte cells to the combination of Carboplatin, L-DOPA and Carboplatin + L-DOPA for 24 hours (0, 3.13, 6.25, 12.5, 25, 50 ,100 µM) has been left. The LD50 value of carboplatin was determined as 62.65 µM. The LD50 values of the combination of L-DOPA and carboplatin + L-DOPA were higher in the tested dose range. The cytotoxic effect of carboplatin on the AML-12 cell line was determined by the increasing LD50 value, which was statistically significantly reduced when combined with levodopa. Further studies are needed to explain the mechanism of action.