Facultatea de Fizică şi Inginerie / Faculty of Physics and Engineering
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Item Ecological techniques for stimulating plant germination at subatmospheric pressures and carbon nanoclusters [Articol](Editura USM, 2024) Moşneaga, Alisa; Lozovanu, PetruThis study examined the impact of ecological stimulation on wheat and maize seeds under low-pressure conditions, using a composite material with C20-C60 carbon nanoclusters. Seeds harvested in 2022 and maintained under standard conditions showed significant improvements compared to the control group when subjected to combined biostimulation at reduced pressure and immersion in a carbon nanocluster solution. Germination time was shortened, with germination capacity increasing by 35% for Zea mays L. and 15% for Triticum aestivum L. These findings suggest that nanotechnology could enhance seed performance, supporting sustainable agriculture and meeting the rising demand for healthy, sustainably produced food.Item Perspectiva utilizării nanoclusterilor de carbon Cn în prelevarea probelor din atmosferă [Articol](CEP USM, 2022-11-10) Lozovanu, Petru; Paladi, Florentin; Bulimaga, TatianaItem UAV-based measuring station for monitoring and computational modeling of environmental factors [Articol](IEEE, 2021) Sprincean, Veaceslav; Paladi, Adrian; Andruh, Vasili; Danic, Anton; Lozovanu, Petru; Paladi, FlorentinSoftware application for computational modeling of environmental factors, in connection with UAV -based measuring station for environmental factors monitoring in realtime regime precise measurements [1], which facilitates the analysis and interpretation of the monitoring results, has been developed as an integrated mobile system for exact monitoring and computational modeling of environmental factors. This paper deals with the second stage related to the drone-dedicated system developed at the Moldova State University (MSU) in the research laboratory Environmental Physics and Modeling Complex Systems (MSU ePhysMCS Lab) for the observation and support of the air analysis for pollution, chemical and radiological contaminations [2]. The exact data are used in modeling of the impact of biotic and abiotic factors during the real-time environmental monitoring process.