Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Preethi Ravikumar"'
Autor:
Edvinas Krugly, Preethi Ravikumar, Lauryna Dabašinskaitė, Martynas Tichonovas, Darius Ciuzas, Tadas Prasauskas, Odeta Baniukaitienė, Goda Masionė, Violeta Kaunelienė, Dainius Martuzevičius
Publikováno v:
Journal of Aerosol Science. 169:106118
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72f64fdedcbb8164052257a49c3b8c96
https://doi.org/10.1016/j.jaerosci.2022.106118
https://doi.org/10.1016/j.jaerosci.2022.106118
Autor:
Suresh Sagadevan, Preethi Ravikumar
Publikováno v:
Polimery. 66:98-104
The present study deals with chitin nanocrystal (CHNC)-reinforced cellulose acetate (CA) films formed by the solvent casting method that makes use of poly(ethylene glycol) (PEG) as a plasticizing agent. Three different films containing various mass r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8759b5a84ac9e832f4db2190c3afb38
https://doi.org/10.14314/polimery.2021.2.2
https://doi.org/10.14314/polimery.2021.2.2
Autor:
Asier M. Salaberria, Sedef Ilk, Murat Kaya, Muhammad Mujtaba, Lalehan Akyuz, Yavuz Selim Cakmak, Seher Karaman Erkul, Preethi Ravikumar, Jalel Labidi
Publikováno v:
Kaya, M, Ravikumar, P, Ilk, S, Mujtaba, M, Akyuz, L, Labidi, J, Salaberria, A M, Cakmak, Y S & Erkul, S K 2018, ' Production and characterization of chitosan based edible films from Berberis crataegina's fruit extract and seed oil ', Innovative Food Science and Emerging Technologies, vol. 45, pp. 287-297 . https://doi.org/10.1016/j.ifset.2017.11.013
WOS: 000425202600033
Chitosan-based edible films were prepared by supplementing Berberis crataegina DC.'s seed oil and fruit extract into chitosan matrix. The produced films have characterized both physiochemically (SEM, DSC, FT-IR, UV-vis, cont
Chitosan-based edible films were prepared by supplementing Berberis crataegina DC.'s seed oil and fruit extract into chitosan matrix. The produced films have characterized both physiochemically (SEM, DSC, FT-IR, UV-vis, cont
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ff6d5859e37b7b5bc6d32eda2e033b7
https://doi.org/10.1016/j.ifset.2017.11.013
https://doi.org/10.1016/j.ifset.2017.11.013
Autor:
Adriano Z. Zambom, Preethi Ravikumar
One of the biggest challenges in nonparametric regression is the curse of dimensionality. Additive models are known to overcome this problem by estimating only the individual additive effects of each covariate. However, if the model is misspecified,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6fc3d9aa953bebf3d257851451748e36
