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References 1. Rashmi D. at al: Simulation and its role in medical education. MedJ Armed Forces India 2012; 68(2):167-72 https://doi.org/10.1016/S0377-1237(12)60040-9 2. Hssain I, Alinier G, Souaiby N. In-situ simulation: A different approach to patient safety through immersive training. Mediterranean JEmerg Med 2013 15;(15):17-28. 3. Rosen MA, Hunt EA, Pronovost PJ, Federowicz MA, Weaver SJ. In situ simulation in continuing education for the health care professions: a systematic review. J ContinEduc Health Prof 2012;32:243–54. https://doi.org/10.1002/chp.21152

, D.Crawford, Frequency Resolved Phonon Transport in Si/Ge Nanocomposites, Electron-Photon Shower Distribution, Pergamon Press(2011) [6] L. Beaulieu, Overview of Geant4 Applications in Medical Physics, Proceedings of IEEENSS, Portland(2003) [7] R. Ford, W. Nelson,Experience of Vectorizing Electromagnetic Models for Detector Simulation, Journal of Physics: Conference Series, 664(1985) 32 – 38 [8] S. Agostinelli, A simulation toolkit, Nuclear Instruments and Methods in Accelerators, Spectrometers, Detectors and Associated Equipment, Physics Research, 3(2003) 250

REFERENCES 1. Cates C, Gallagher A. The future of simulation technologies for complex cardiovascular procedures. Eur Heart J 2012;33(17):2127-34. 2. Savoldelli G, Naik V, Park J, et al. Value of debriefing during simulated crisis management: oral versus video-assisted oral feedback. Anesthesiology 2006;105:279-85. 3. Goddard A, Hodgson H, Newbery N. Impact of EWTD on patient: doctor ratios and working practices for junior doctors in England and Wales 2009. Clin Med 2010;10:330-5. 4. Department of Health. A framework for technology enhanced learning. London; 2011

References 1. APRIL, J., GLOVER F., KELLY J.P., LAGUNA M. 2003. Practical Introduction to Simulation Optimization. In S. Chick, P. J. Sánchez, D. Ferrin, and D. J. Morrice, eds. Proceedings of the 2003 Winter Simulation Conference. New Orleans, pp. 71-77 [online] Cit. 22 December 2013. Available at URL http://www.informscs. org/wsc03papers/010.pdf. 2. BANKS, J., CARSON, J.S., NELSON, B.L. CICOL, D.M. 2001. Discrete-event system simulation. Prentice Hall Inc. New Jersey. ISBN:0130887021 3. BOESEL, J., GLOVER, F., BOWDEN, O.R., KELLY, J. P. & Westvig E. 2001

): 187-190. 5. Rutherford-Hemming T, Nye C, Coram C. Using simulation for clinical practice hours in nurse practitioner education in the United States: A systematic review Nurse Educ Today. 2016; 37: 128-135. 6. Sweeney N, Rollins MC, Gantt L, et al. Development and Reliability Testing of the Sweeney-Clark Simulation Evaluation Rubric. Clinical Simulation in Nursing. 2019. 7. Parry M, Fey MK. Simulation in Advanced Practice Nursing. Clinical Simulation in Nursing. 2019; 26:1-2. 8. Green M, Tariq R, Green P. Improving patient safety through simulation training in

., Krzywonos, L., Wierzbicki, S. & Brumercik, F. (2015). Application of vibration signal in the diagnosis of IC engine valve clearance. Journal of Vibroengineering, 17(1), 175-187. ISSN 1392-8716. [8] Lukac, M., Brumercik, F., Krzywonos, L. & Drozdziel, P. (2014). Tension mechanism dynamic analysis. Communications, 16(3A), 184-188. ISSN 1335-4205. [9] Filo, M. & Lukac, M. (2005). Modeling and Simulation of Mechanisms with Computer Support, Žilina: EDIS- publisher of University of Žilina, 216 p. ISBN 80-8070-466-X. [10] Caban, J., Drozdziel, P., Vrabel, J., Sarkan, B

References [1] Behdani, B., 2012. Evaluation of paradigms for modeling supply chains as complex sociotechnical systems. In: Proceedings of the 2012 Simulation Conference WSC, Huntington, pp.1-15. [2] Bencomo, S.D., 2004. Control learning: present and future. Annual Reviews in Control, 28(1), pp.115-136. [3] Borshchev, A., 2013. The big book of simulation modelling. North America: AnyLogic. [4] Buss, A., Stork, K., 1996. Discrete event simulation and Worlds-Wide-Web using Java. In: J.M. Charnes, D. J. Morris, D.T Brunner, J.J. Swain eds., 1996. Proceedings of the

Abstract

The paper presents a comparative analysis between the surface global irradiation measured for Romania and the predicted irradiation obtained by numerical simulation. The measured data came from the Romanian National meteorological Administration. Based on a preliminary analysis that took into account several criteria among which, performance, cost, popularity and meteorological and satellite data accessibility we concluded that a combination GFS-WRF(NMM) or GFS-WRF(ARW) is most suitable for short term global solar irradiation forecasting in order to assess the performance of the photovoltaic power stations (Badescu and Dumitrescu, 2012, [1], Martin et al., 2011, [2]).

References [1] Pelanek, Radek. Modelování a simulace komplexních systémů: jak lépe porozumět světu. Brno: Masarykova univerzita, 2011. ISBN 978-80-210-5318-2. [2] Rainey, Larry B. and Andreas. Tolk. Modeling and simulation support for system of systems engineering applications. ISBN 978-1-118-46031-3. [3] Řezač, David. Výcvik součinnosti subjektů kritické infrastruktury a orgánů státní zprávy s využitím počítačové simulace [online]. 2015. Available at:http://fbiw.uniza.sk/rks/2015/articles/Rezac.pdf [4] Niemeyer, Klaus. Simulation of Critical Infrastructures

). Komputerowo wspomagane modelowanie i symulacja procesów produkcyjnych [Computer aided modelling and simulation of production processes]. Zeszyty Naukowe Politechniki Poznańskiej , 6 , 39-45. Ciszak, O. (2007b). Modelling and Simuation of the final assembly using the Flexsim software . 3th International Conference Virtual Design and Automation – VIDA. Innovation in Product and Process Development, Poznań. Conference materials. Ćwikała, G., & Gołda, G. (2005). Modelowanie i symulacja jako narzędzie poprawy wydajności produkcji wyrobów wielkogabarytowych [Modeling and