Matija LR - Search Results

1

The Second Derivative of Fullerene C₆₀ (SD-C₆₀) and Biomolecular Machinery of Hydrogen Bonds: Water-Based Nanomedicine.

Matija LR, Stankovic IM, Puric M, Miličić M, Maksimović-Ivanić D, Mijatovic S, Krajnović T, Gordic V, Koruga DL. Matija LR, et al. Micromachines (Basel). 2023 Nov 25;14(12):2152. doi: 10.3390/mi14122152. Micromachines (Basel). 2023. PMID: 38138321 Free PMC article.

2

Nanomagnetic behavior of fullerene thin films in Earth magnetic field in dark and under polarization light influences.

Koruga D, Nikolić A, Mihajlović S, Matija L. Koruga D, et al. J Nanosci Nanotechnol. 2005 Oct;5(10):1660-4. doi: 10.1166/jnn.2005.185. J Nanosci Nanotechnol. 2005. PMID: 16245524

3

Comparative Studies of the Structural and Physicochemical Properties of the First Fullerene Derivative FD-C₆₀ (Fullerenol) and Second Fullerene Derivate SD-C₆₀ (3HFWC).

Koruga D, Stanković I, Matija L, Kuhn D, Christ B, Dembski S, Jevtić N, Janać J, Pavlović V, De Wever B. Koruga D, et al. Nanomaterials (Basel). 2024 Mar 6;14(5):480. doi: 10.3390/nano14050480. Nanomaterials (Basel). 2024. PMID: 38470808 Free PMC article.

4

Sensitivity and specificity of ex vivo dermatoscopy: a case series.

Dobrosavljevic D, Brasanac D, Glumac S, Radojevic S, Matija L, Stanisavljevic D. Dobrosavljevic D, et al. Int J Dermatol. 2018 Aug;57(8):915-921. doi: 10.1111/ijd.14042. Epub 2018 May 23. Int J Dermatol. 2018. PMID: 29790147

5

Electrical properties of human skin as aging biomarkers.

Simić-Krstić JB, Kalauzi AJ, Ribar SN, Matija LR, Misevic GN. Simić-Krstić JB, et al. Among authors: matija lr. Exp Gerontol. 2014 Sep;57:163-7. doi: 10.1016/j.exger.2014.06.001. Epub 2014 Jun 3. Exp Gerontol. 2014. PMID: 24905143

6

Opto-magnetic imaging spectroscopy in analyzing rotary NiTi endodontic instruments.

Jovanović-Medojević M, Dragičević A, Milanović I, Matija L, Živković S. Jovanović-Medojević M, et al. J Mech Behav Biomed Mater. 2023 May;141:105789. doi: 10.1016/j.jmbbm.2023.105789. Epub 2023 Mar 23. J Mech Behav Biomed Mater. 2023. PMID: 36989872

7

Predicting anemia using NIR spectrum of spent dialysis fluid in hemodialysis patients.

Matović V, Jeftić B, Trbojević-Stanković J, Matija L. Matović V, et al. Sci Rep. 2021 May 18;11(1):10549. doi: 10.1038/s41598-021-88821-4. Sci Rep. 2021. PMID: 34006867 Free PMC article.

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