Výsledky vyhledávání - "Marijana Vasić"

Synthesis of series of different imidazolidine-2,4-dione derivatives and evaluation of their antimicrobial potential

Autor: Biljana Šmit, Ivana Radojević, Petar Stanić, Darko Ašanin, Marijana Vasić, Jelena Katanić-Stanković

Publikováno v: Kragujevac Journal of Science (2022) (44):57-74

A series of twenty two different imidazolidine-2,4-dione derivatives, divided according to their structure into five groups, including alkyl, alkenyl or aryl 5,5disubstituted hydantoins, spirohydantoins, and fused bicyclic and tricyclic hydantoins, w

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::327224f51968ffc71a60a075d0c4637a
https://doi.org/10.5937/kgjsci2244057s

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ISPITIVANJE PONOVLJIVOSTI ŠTAMPE NA GRAFIČKOM SISTEMU KONICA MINOLTA BIZHUB C224E

Autor: Nemanja Kašiković, Marijana Vasić, Rastko Milošević

Publikováno v: Zbornik radova Fakulteta tehničkih nauka u Novom Sadu. 35:713-716

Rad obuhvata teorijske osnove digitalne štampe i istraživanje iste. Štampa test karti je vršena na tri podloge različite gramature. Za otiskivanje je korišćen grafički sistem Konica Minolta Bizhub C224E. Izvršena su objektivna merenja Lab vr

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https://doi.org/10.24867/07ef05vasic

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In vitro DNA damage protection activity of four novel bridged dinuclear cis- and transplatin-L-Zn(terpy) complexes

Autor: Biljana Šmit, Tanja Soldatović, Sanja Matić, Petar Stanić, Asija Halilagić, Enisa Selimović, Marijana Vasić

Publikováno v: Proceedings of 7th International Electronic Conference on Medicinal Chemistry.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dfd05f6f5b381a59d0c74618ab4fbc77
https://doi.org/10.3390/ecmc2021-11511

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Optimization of extraction yield and chemical characterization of optimal extract from Juglans nigra L. leaves

Autor: Valentina Simić, Marijana Vasić, Milica Drobac, Sanja Jeremic, Jovan B. Stanković, Katarina M. Rajković, Jelena Mutić

Publikováno v: Chemical Engineering Research and Design

The extraction yield of Juglans nigra L. leaves was assessed at different ethanol concentrations (0–96% (v/v)) and solvent-to-solid ratios (5–20 kg kg−1). The response surface methodology (RSM) and artificial neural network with genetic algorit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c1b7d239f5d141587e69f968c672c69
https://cherry.chem.bg.ac.rs/handle/123456789/3887