Publications by authors named "A V Amirova"

Article Synopsis
  • - The systematic review analyzed health-related quality of life (HRQoL) changes in breast cancer patients before and after surgical treatments: mastectomy (M), mastectomy with breast reconstruction (MBR), and breast-conserving surgery (BCS).
  • - Six studies were included, revealing that by 24 months post-surgery, HRQoL improved or returned to pre-surgery levels for all groups, though MBR and BCS initially showed declines in physical HRQoL.
  • - The findings highlight varying HRQoL challenges depending on surgery type and timing, suggesting the need for routine HRQoL assessments and psychological support during recovery.
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In vitro androgenesis is a unique model for producing homozygous doubled haploid plants. The use of haploid biotechnology accelerates to obtain of doubled haploid plants, which is very important in rice breeding. The purpose of this work is to improve the production of doubled haploids in rice anther culture in vitro and selection of doubled haploid plants with valuable traits.

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Article Synopsis
  • A study found that perceived everyday discrimination is linked to a higher risk of developing Type 2 diabetes in adults aged 50 and older.
  • Participants reported their experiences of discrimination, and those who felt discriminated against were 37% more likely to develop diabetes over 10 years, regardless of factors like age, sex, and lifestyle choices.
  • However, repeated experiences of discrimination did not show a significant connection to diabetes onset, suggesting that the relationship may be more complex than initially thought.
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Rice (Oryza sativa L.) grown in many countries around the world with different climatic conditions and a huge number of environmental stresses, both biotic (fungi, bacteria, viruses, insects) and abiotic (cold, drought, salinity) limit rice productivity. In this regard, breeders and scientists are trying to create rice lines that are resistant to multiple stresses.

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Today, with the advent of Large-scale generative Language Models (LLMs) it is now possible to simulate free responses to interview questions such as those traditionally analyzed using qualitative research methods. Qualitative methodology encompasses a broad family of techniques involving manual analysis of open-ended interviews or conversations conducted freely in natural language. Here we consider whether artificial "silicon participants" generated by LLMs may be productively studied using qualitative analysis methods in such a way as to generate insights that could generalize to real human populations.

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