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Sirvi Autor "Rubina, T." järgi

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  • Pisipilt
    Kirje
    Mathematics education for sustainable agriculture specialists
    (2019) Zeidmane, A.; Rubina, T.
    One of the Sustainable Development objectives is to promote life-long learning opportunities for all, but one of the Lifelong Learning competences is mathematical competence, which can be obtained studying mathematics at schools and universities. The question is how much and whether the course of mathematics should be included in the curriculum of the agronomy specialties at universities. The aim of the article is to highlight the insufficient amount of higher mathematics in the education of agriculture specialist in the context of sustainable development. The objectives of the study: to identify the importance of mathematics for agronomy specialists by analysing the role of the mathematics education for agronomy specialists and to analyse the proportion of mathematics courses in the curriculum of the agronomy programmes in the Baltics States and the Baltic Sea region’s higher education institutions. The mathematics education is important for agronomy specialists in many fields. Agronomy specialists need knowledge and skills in basic mathematics, in statistical analysis and interpretation, mathematical modelling, in scientific methods, in economic analysis. The knowledge and skills in a direct and indirect means is provided by mathematical studies at universities. In order to analyse the proportion of mathematics courses in study programmes of Agriculture, Agronomy and Horticulture, three universities of the Baltic States were compared: the Latvia University of Life Sciences and Technologies, Aleksandras Stulginskis University (Lithuania) and Estonian University of Life Sciences. For a more comprehensive analysis and comparison several universities from the Baltic Sea region were chosen that provide studies in agricultural sciences. Unfortunately, not all agronomy programmes in the Baltic Sea region contain the higher mathematics course that would help to understand the role of derivatives, integrals, and differential equations in the modelling process, as well as further developing general problem-solving skills.
  • Pisipilt
    Kirje
    Shrinkage effect on diffusion coefficient during carrot drying
    (2018) Aboltins, A.; Rubina, T.; Palabinskis, J.
    Many studies have been previously carried out on the carrot drying and the undergoing processes. The developed mathematical models provide an opportunity to gain an understanding of this complex process and its dynamics. But they are sim plified and based on a number of assumptions, including calculation of diffusion coefficient values. In one of the previous studies, the authors of this study determined that the diffusion coefficient is linearly dependent on the moisture concentration wit h the assumption that the sample's geometric shape does not change. The aim of this study is to determine the dependence of the diffusion coefficient on the moisture concentration taking into account the change in sample thickness during the drying experim ent. The experiments were carried out with carrot slices of three different thicknesses: 5 mm, 10 mm and 15 mm thickness on the film infrared dryer at temperature 40 °C . During the experiments, measurements of the weight and thickness of the slices were pe rformed. Using the experimental data the average thickness and diffusion coefficient of slices was calculated depending on the moisture concentration . Obtained results show that thickness depends linearly on the moisture concentration. Using experimental d ata and obtained average values of samples thickness, the values of diffusion coefficient was calculated. The results indicate that diffusion coefficient value depend linearly on moisture concentration. Their values are close and tend to zero when the conc entration decreases if the thickness changes are taken into account during the experiment.