Publications by authors named "O L Nikitin"

Introduction: Coronavirus disease 2019 (COVID-19) is characterized by impact on different systems of human body. Recently, several anti-COVID vaccines have been developed.

Material And Methods: In our study, we included two groups of males: GROUP1, anti-COVID vaccinated males, n = 46, and GROUP2, n = 43, non-vaccinated males, who all fell ill with the Coronavirus infection.

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Introduction: Ureteral stents-related symptoms (USRs) are the common complications of ureteral stenting. Tamsulosin a selective alpha-1 blocker and Tadalafil a PDE-5 inhibitor are one of drugs have been used for USRs relief. In this study we aimed to evaluate the effectiveness and safety of combination therapy Tamsulosin+Tadalafil for treating USRs comparing it with the efficacy of either Tamsulosin or Tadalafil monotherapies.

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Background: Trichomonas vaginalis (TV), Mycoplasma genitalium (MG) and Ureaplasma urealyticum (UU) are common sexually transmitted infections (STIs) that are diagnosed in infertile couples (cps). In cases with their simultaneous presence in a patient (mixed STI, MSTIs), treatment is complicated by the different sensitivity of microorganisms to antibacterial drugs. Moreover, in cases of complicated infections, the empirical treatment should be started before obtaining the results of drug susceptibilities.

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Toxoplasma gondii is a zoonotic parasite with a wide host range that includes humans, domestic animals and wild animals. Small mammals serve as intermediate hosts for T. gondii and may contribute to the persistence of this parasite in the environment.

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Biological neurons have adaptive nature and perform complex computations involving the filtering of redundant information. However, most common neural cell models, including biologically plausible, such as Hodgkin-Huxley or Izhikevich, do not possess predictive dynamics on a single-cell level. Moreover, the modern rules of synaptic plasticity or interconnections weights adaptation also do not provide grounding for the ability of neurons to adapt to the ever-changing input signal intensity.

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