Факультет естественных наук: Recent submissions

  • Assessment of Spring Wheat Varieties for Pest Resistance 
    Ualiyeva, Rimma Meyramovna; Kaverina, Mariya Mikhailovna; Ivanko, Lyubov Nikolaevna; Zhangazin, Sayan Berikovich (OnLine Journal of Biological Sciences, 2023-04)
    The article is devoted to the study of spring wheat varieties cultivated in the steppe area of North-Eastern Kazakhstan and their resistance to the main pests. The dynamics of the number and phenology of spring wheat ...
  • ASSESSMENT OF SOILS DEFORMABILITY UNDER VERTICAL LOAD 
    Zhussupbekov, Askar; Tulebekova, Assel; Jumabayev, Atogali; Zhumadilov, Iliyas (International Journal of GEOMATE, 2020-06)
    Laboratory and experimental tests in huge amount are required during engineering surveys for large and critical buildings and structures especially in complex geological conditions. The laboratory investigations are ...
  • ASSESSMENT OF PLANT DISEASE DETECTION BY DEEP LEARNING 
    Alpyssov, Akan; Uzakkyzy, Nurgul; Ayazbaev, Talgatbek; Moldasheva, Raushan; Bekmagambetova, Gulmira; Yessekeyeva, Mnyaura; Kenzhaliev, Dossym; Yerzhan, Assel; Ailanysh, Tolstoy (Eastern-European Journal of Enterprise Technologies, 2023)
    Plant disease and pest detection machines were originally used in agriculture and have, to some extent, replaced traditional visual identification. Plant diseases and pests are important determinants of plant productivity ...
  • A PRACTICAL SOLUTION FOR IMPROVING SOIL BASES IN PROBLEMATIC ENGINEERING CONDITIONS 
    Tulebekova, Assel; Zhankina, Aizhan; Imambayeva, Raikhan; Makhiyev, Bekbolat; Khapin, Alexandr; Anop, Darya (International Journal of GEOMATE, 2023-08)
    Improving the quality and efficiency of construction on problematic soil conditions largely depends on the correct assessment of their properties, the choice of foundations, and structural and technological solutions. ...
  • APPLYING MACHINE LEARNING TO IMPROVE A TEXTURE TYPE IMAGE 
    Kozhabai, K.; Bayegizova, A.; Kassenova, L.; Manbetova, Z.,; Glazyrina, N.; Bersugir, M.; Yeginbayev, M. (Eastern-European Journal of Enterprise Technologies, 2023)
    The paper is devoted to machine learning methods that focus on texture-type image enhancements, namely the improvement of objects in images. The aim of the study is to develop algorithms for improving images and to determine ...
  • ANALYSIS OF RAINFALL IN THE KAZAKHSTAN 
    Zhussupbekov, Askar; Zharkenov, Yerkebulan; Kuderin, Marat (ANALYSIS OF RAINFALL IN THE KAZAKHSTAN, 2019-12)
    Before building the storm sewer networks the analysis of precipitation is very important. The issues of assessing the reliability of the information on the annual amounts of precipitation in the meteorological monitoring ...
  • Epiphytic and epigeal lichens as bioindicators of air pollution in the Burabay National Park, Kazakhstan 
    BUKABAYEVA, ZNANYLKHAN; ABIYEV, SARDARBEK; SILYBAYEVA, BATIYASH; ASSANOVA, ULBALA; SHARIPKHANOVA, ANARGUL; SAGDATKYZY, BALNUR (2023-05)
    Bukabayeva Z, Abiyev S, Silybayeva B, Assanova U, Sharipkhanova A, Sagdatkyzy B. 2023. Epiphytic and epigeal lichens as bioindicators of air pollution in the Burabay National Park, Kazakhstan. Biodiversitas 24: 2701-2709. ...
  • Rapid and highly sensitive LAMP-CRISPR/Cas12a-based identification of bovine mastitis milk samples contaminated by Escherichia coli 
    Shaizadinova, Aisha; Amanzholova, Meruyert; Kirillov, Saveliy; Bulashev, Aitbay; Abeldenov, Sailau (Journal of Agriculture and Food Research, 2023-12)
    Mastitis is a prevalent disease affecting dairy cows, leading to significant economic losses in the dairy industry. Conventional diagnostic methods such as microbiology and PCR are expensive and time-consuming, emphasizing ...
  • Mineral composition, pigments, and postharvest quality of guava cultivars commercially grown in India 
    Kumari, Priyanka; Mankar, Abhay; Karuna, Kumari; Homa, Fozia; Meiramkulova, Kulyash; Siddiqui, Mohammed Wasim (Journal of Agriculture and Food Research, 2020-12)
    Five guava cultivars (one red and four white fleshed) were characterized for primary elements (N, P, K), micro elements (Fe, Mn, Zn), pigments (carotenoids and chlorophylls), and other postharvest fruit quality characteristics. ...
  • Estimation of water storage changes in small endorheic lakes in Northern Kazakhstan 
    Yapiyeva, Vadim; Samarkhanov, Kanat; Tulegenovad, Nazym; Jumassultanovae, Saltanat; Verhoeff, Anne; Saidaliyevag, Zarina; Umirova, Nursultan; Sagintayeva, Zhanay; Namazbayeva, Assel (Journal of Arid Environments, 2019-01)
    Both climate change and anthropogenic activities contribute to the deterioration of terrestrial water resources and ecosystems worldwide, with Central Asia and its endorheic lakes being among the most severely affected. We ...

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