5 research outputs found

    Bis[5-oxo-4,5-dihydro-8H-2-azonia-4,8,9-trizabicyclo[4.3.0]nona-2,6,9(1)-triene] sulfate

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    In the crystal structure of the title compound, 2C5H5N4O+·SO4 2−, N—H⋯O hydrogen bonds assemble the mol­ecules into a two-dimensional network structure parallel to the cb plane. The S atom of the sulfate ion lies on a special position on a twofold axis

    Norfloxacin sesquihydrate

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    In the crystal structure of the title compound [systematic name: 1-ethyl-6-fluoro-4-oxo-7-(piperazin-4-ium-1-yl)-1,4-dihydro­quinoline-3-carboxyl­ate sesquihydrate], C16H18FN3O3·1.42H2O, N—H⋯O and O—H⋯O hydrogen bonds assemble the mol­ecules in a two-dimensional layered corrugated sheet structure parallel to the b axis. The water mol­ecules are disordered [occupancies 0.741 (11) and 0.259 (11)]

    Primjena umjetnih neuralnih mreža u optimiranju koncentracije viših alkohola u izradi emulzija ulje/voda

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    The purpose of this study was to optimize the concentration of a fatty alcohol, in addition to internal phase concentration, for formulating a stable O/W emulsion, by using artificial neural networks (ANNs). Predictions from ANNs are accurate and allow quantification of the relative importance of the inputs. Furthermore, by varying the network topology and parameters it was possible to obtain output values that were close to experimental values. The ANN model\u27s predictive results and the actual output values were compared. R2 values depict the percentage of response variability for the model; R2 values of 0.84 for the model suggested adequate modeling, which is supported by the correlation coefficient value of 0.9445.Cilj rada bio je pomoću umjetnih neuralnih mreža (ANNs) optimirati koncentraciju viših alkohola kao unutarnje faze za pripravu stabilnih emulzija ulje/voda. Rezultati ANN predviđanja su točni i omogućavaju kvantifikaciju ulaznih parametara. Nadalje, varirajući topologiju mreže i parametre moguće je dobiti izlazne vrijednosti koje su blizu eksperimentalnih vrijednosti. Usporedbom rezultata ANN predviđanja i stvarnih izlaznih vrijednosti dobiveni su visoki koeficijenti korelacije (R2 = 0,84 i r2 = 0,9445)
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