DSpace Repository

DSpace is a digital service that collects, preserves, and distributes digital material. Repositories are important tools for preserving an organization's legacy; they facilitate digital preservation and scholarly communication.

Communities in DSpace

Recently Added

  • Testing the antiradical potential and antioxidant stability of white wines from local grapes varieties 
    SCUTARU, Iury; CODREAN (SCLIFOS), Aliona; DAVIDESCU, Cristina (“Vasile Alecsandri” University of Bacau, 2026)
    Determining the antioxidant capacity of white wines makes it possible to estimate the wine’s ability to resist oxidative processes over time, its shelf life, and also provides general information about the wine’s physiological ...
  • The predisposition of orange wines to the pinking test 
    CODREAN (SCLIFOS), Aliona; SCUTARU, Iury; ARSENI, Alexandra; KURTEVA, Maria (“Vasile Alecsandri” University of Bacau, 2026)
    Oxygen, both in the atmosphere and dissolved in wine, has the ability to cause oxidative reactions in the phenolic compounds and proteins present in wine. This oxidation is not a benign process; on the contrary, it can ...
  • Research on determining the qualitative properties of meat snacks with vegetable additions 
    SANDU, Iuliana; DABIJA, Adriana; DIANU, Irina; NETREBA, Natalia; CHETRARIU, Ancuța; OROIAN, Mircea Adrian; COJOCARI, Daniela; MACARI, Artur (“Vasile Alecsandri” University of Bacau, 2026)
    The incorporation of fruit-processing by-products into meat product technology represents an innovative strategy for developing foods with added nutritional value and for the sustainable utilization of agri-food resources. ...
  • Computer vision capabilities for detecting and classifying solar panel faults 
    MOHAMMED, N. S.; UONIS, M. M.; ALSAIF, O. I. (Institutul de Energetica, 2026)
    The main objectives of this research are to fill a gap in PV inspection systems, which consist of convolutional detectors with a limited amount of global context or transformer classifiers with weak localization. Defects ...
  • Evaluation of operating modes for central heating stations using neural network and ensemble machine learning methods 
    DVORTSEVOY, A. I.; BORUSH, O. V.; YAKOVINA, I. N.; BOYKO, E. E.; VINDEMUT, D. Y.; YANKOV, P. A. (Institutul de Energetica, 2026)
    The main objective of this study is to develop a method for assessing the operating modes of central heating stations (CHS) based on forecasting the thermal power and analyzing the deviations of actual parameters from the ...

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