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Laser photoresist removal in gaseous media is based on different parameters or factors like energy of laser pulse, frequency of pulse repetition and flow rate of gas. A statistical soft computing approach was applied in this article in order to determine which parameters have the most influence on the photoresist removal process by laser. As the statistical approach adaptive neuro-fuzzy inference system (ANFIS) was used since the methodology can handle strongly nonlinear data. By selected the most important factors one can adjust the photoresist removal process in order to produce the best final product. For the selecting process three input parameters are used: laser energy, rate of pulse repetition of laser and flow rate of hydrogen gas. These parameters are selected for the analysing since these are independent variables. Pulse of laser repetition is selected as the most important factor for the photoresist removal process. Predictive models were created based on ANFIS network and corresponding results are compared with standard conventional approaches. [ABSTRACT FROM AUTHOR]

Mixed ligand dinuclear copper(II) complexes of the general formula [Cu2( Rdtc) tpmc)](ClO4)3 with octaazamacrocyclic ligand tpmc and four different heterocyclic dithiocarbamate ligands Rdtc−, as well as the complexes [Cu2( tpmc)](ClO4)4 and [Cu( tpmc)](ClO4)2⋅2H2O were studied in aqueous NaClO4 and HClO4 solutions by cyclic voltammetry on glassy carbon electrode. The electrochemical properties of the ligands and Cu(II) complexes were correlated with their electronic structure. Conductometric experiments showed different stoichiometry in complexation of tpmc with Cu2+ ions and transport of ions in acetonitrile and in aqueous media. These studies clarified the application of this macrocyclic ligand as ionophore in a PVC membrane copper(II) selective electrode and contributed elucidation of its sensor properties. [ABSTRACT FROM AUTHOR]

A simple and fast kinetic method is based on the oxidation of 4-OH coumarone using KMnO4 and the determination of ultramicroamounts of Au(III) by its catalytic effect on this reaction. The sensitivity of the method is 25 ng/mL. The relative error ranges between 9.20–3.90% for the concentration interval 5 × 10−8–2 × 10−7 g/mL. The selectivity of the method is very good, and the effect of foreign ions is investigated. The proposed approach has been applied to the determination of traces of Au(III) in copper ore. [ABSTRACT FROM AUTHOR]