Your browser does not allow JavaScript!
JavaScript is necessary for the proper functioning of this website. Please enable JavaScript or use a modern browser.
Open Science Slovenia
Open Science
DiKUL
slv
|
eng
Search
Browse
New in RUL
About RUL
In numbers
Help
Sign in
Organisation
Files
Mentors
Basic
Bibliography
Published theses
Top keywords
Keyword timeline
Co-mentors
Bibliography of the person, including all types of documents, not only theses.
MSc theses (3)
Nina Štravs:
Načrtovanje in optimiranje elektrostatskega razprševanja za izdelavo polimernih mikrodelcev s protibakterijsko učinkovino
Alja Cestnik:
Načrtovanje procesa in optimizacija izdelave nanovlaken na napravi za elektrostatsko sukanje
Špela Zajec:
Razvoj polimernih mikrodelcev z vgrajenim streptomicinijevim sulfatom ali etambutolom z elektrostatskim razprševanjem alkoholnih raztopin
BSc theses (1)
Zoran Lavrič:
Uporaba jedrske kvadrupolne resonance za kvalitativno in kvantitativno proučevanje polimorfizma nifedipina in piroksikama
Other documents (5)
Emilia Szymańska, M. Szekalska, Robert Czarnomysy, Zoran Lavrič, Stanko Srčič, Wojciech Miltyk, K. Winnicka:
Novel spray dried glycerol 2-phosphate cross-linked chitosan microparticulate vaginal delivery system-development, characterization and cytotoxicity studies
Klemen Kreft, Zoran Lavrič, Tijana Stanić Ljubin, Petra Perhavec, Rok Dreu:
Influence of the binder jetting process parameters and binder liquid composition on the relevant attributes of 3D-printed tablets
Zvonko Trontelj, Janez Pirnat, Vojko Jazbinšek, Janko Lužnik, Stanko Srčič, Zoran Lavrič, Samo Beguš, Tomaž Apih, Veselko Žagar, Janez Seliger:
Nuclear Quadrupole Resonance (NQR)
Klemen Kreft, Tijana Stanić Ljubin, Petra Perhavec, Rok Dreu, Zoran Lavrič:
Influence of fused deposition modelling printing parameters on tablet disintegration times
Klemen Kreft, Zoran Lavrič, Urška Gradišar Centa, Mohor Mihelčič, Lidija Slemenik Perše, Rok Dreu:
Correlating mechanical and rheological filament properties to processability and quality of 3D printed tablets using multiple linear regression