Publications by authors named "Y Petrova"

Introduction: Precise semantic segmentation of microbial alterations is paramount for their evaluation and treatment. This study focuses on harnessing the SegFormer segmentation model for precise semantic segmentation of strawberry diseases, aiming to improve disease detection accuracy under natural acquisition conditions.

Methods: Three distinct Mix Transformer encoders - MiT-B0, MiT-B3, and MiT-B5 - were thoroughly analyzed to enhance disease detection, targeting diseases such as Angular leaf spot, Anthracnose rot, Blossom blight, Gray mold, Leaf spot, Powdery mildew on fruit, and Powdery mildew on leaves.

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Poly(A) tails are crucial for mRNA translation and degradation, but the exact relationship between tail length and mRNA kinetics remains unclear. Here, we employ a small library of identical mRNAs that differ only in their poly(A)-tail length to examine their behavior in human embryonic kidney cells. We find that tail length strongly correlates with mRNA degradation rates but is decoupled from translation.

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Article Synopsis
  • A study analyzed the genetic variants rs7903146 of the TCF7L2 gene and rs1801282 of the PPARG gene in 64 Tyumen citizens aged 40-70, focusing on their relationship with metabolic parameters and insulin resistance.
  • The researchers found that homozygous carriers of the C allele for rs7903146 had higher C-peptide levels and associations with increased waist circumference, elevated glycated hemoglobin, and hypertension.
  • For the rs1801282 variant, homozygous carriers of the C allele showed higher triglyceride levels and similar associations with waist circumference and glycated hemoglobin compared to other genotypes.
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Extensive crop losses are caused by oomycete and fungal damping-off diseases. Agriculture relies heavily on chemical pesticides to control disease, but due to safety concerns multiple agents have been withdrawn. were successfully used as commercial biopesticides because of their fungicidal activity and plant protective traits.

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The electrochemical features of the interactions of sulfur- and iron-containing compounds (ferrous sulfate, elemental sulfur, pyrite tailings, cysteine, sodium thiosulfate) with a model acidophilic consortium, including the genera , , , , and , were studied. The method of cyclic voltammetry recorded redox processes at the electrode/solution interface in the presence of the studied sulfur- and iron-containing compounds. In general, the modeling consortium led to the intensification of these processes.

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