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1.
Инвентарный номер: нет.
   
   Ч-46


    Черешнев, Валерий Александрович.
    Оценка влияния бюджетных расходов на человеческое развитие регионов России / В. А. Черешнев, А. В. Васильева, А. Н. Тырсин // Экономика и предпринимательство. - 2016. - № 8. - С. 930-937
ББК 65
Рубрики: ЭКОНОМИКА. ЭКОНОМИЧЕСКИЕ НАУКИ
Кл.слова (ненормированные):
ИНДЕКС ЧЕЛОВЕЧЕСКОГО РАЗВИТИЯ -- HUMAN DEVELOPMENT INDEX -- БЮДЖЕТНЫЕ РАСХОДЫ -- BUDGET EXPENSES -- РЕГИОН -- REGION -- РЕГРЕССИОННЫЙ АНАЛИЗ -- REGRESSION ANALYSIS
Аннотация: В статье анализируются особенности социально-экономического развития регионов России и отмечается их сильная дифференциация по уровню человеческого развития. Предложен и реализован подход к оценке количественной зависимости значения индекса человеческого развития от удельных (парциальных) бюджетных расходов субъектов РФ на основе корреляционно-регрессионного анализа. Сделан вывод о неэффективном расходовании бюджетных средств с позиции повышения региональных значений индекса человеческого развития.

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2.
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   М 54


   
    Метод распознавания образов в медицине / В. А. Черешнев, В. Д. Мазуров, Л. Н. Юрченко, Е. Ю. Гусев, А. В. Ким // Russian Journal of Numerical Analysis and Mathematical Modelling. - 2004. - Vol. 19, № 4. - С. 281-292. - Библиогр.: с. 292 (6 назв.)
ББК 57
Рубрики: ЗДРАВООХРАНЕНИЕ. МЕДИЦИНСКИЕ НАУКИ
Кл.слова (ненормированные):
BAYES METHOD -- LEARNING DIAGNOSTICS -- NEURONS
Аннотация: In this paper we consider models of learning diagnostics by precedents using pattern recognition methods and adjustment of layered neural nets. We show that in this case the problem reduces to the construction of committee constructions generalizing the notion of the solution to the system of linear inequalities. The methods proposed are justified. These methods are applied to the problems of medical diagnostics and for modelling empirical regularities

\\\\expert2\\NBO\\Russian Journal of Numerical Anal. and Math. Modelling\\2004. V. 19, N. 4. P. 281-292.pdf
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3.
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    Urinalysis, but not blood biochemistry, detects the early renal impairment in patients with COVID-19 / H. Zhou, Z. Zhang, M. Dobrinina [et al.] // Diagnostics. - 2022. - Vol. 12, № 3. - Ст. 602 (13 pp.)
Кл.слова (ненормированные):
COVID 19 -- КОРОНАВИРУС -- URINALYSIS
Аннотация: Coronavirus 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus (SARS-CoV-2), has created a tremendous economic and medical burden. The prevalence and prognostic value of SARS-CoV-2-induced kidney impairment remain controversial. The current study aimed to provide additional evidence on the incidence of acute kidney injury (AKI) in COVID-19 patients and propose the use of urinalysis as a tool for screening kidney impairment. Methods: 178 patients with confirmed COVID-19 were enrolled in this retrospective cohort study. The laboratory examinations included routine blood tests, blood biochemical analyses (liver function, renal function, lipids, and glucose), blood coagulation index, lymphocyte subset and cytokine analysis, urine routine test, C-reactive protein, erythrocyte sedimentation, and serum ferritin. Results: No patient exhibited a rise in serum creatinine or Cystatin C and occurrence of AKI, and only 2.8% of patients were recorded with an elevated level of blood urea nitrogen among all cases. On the contrary, 54.2% of patients who underwent routine urine testing presented with an abnormal urinalysis as featured by proteinuria, hematuria, and leucocyturia. Conclusions: Kidney impairment is prevalent among COVID-19 patients, with an abnormal urinalysis as a clinical manifestation, implying that a routine urine test is a stronger indication of prospective kidney complication than a blood biochemistry test.

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4.
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   S 54


    Shmagel, K. V.
    Molecular bases of immune complex pathology [Electronic resource] / K. V. Shmagel, V. A. Chereshnev // Biochemistry. - 2009. - Vol. 74, № 5. - P469-479. - Bibliogr. : p. 477-479 (126 ref.)
ББК 57
Рубрики: БИОЛОГИЧЕСКИЕ НАУКИ
Кл.слова (ненормированные):
IMMUNE COMPLEXES -- COMPLEMENT -- CR1 RECEPTORS
Аннотация: The binding of antigens with antibodies forms immune complexes in the body. Usually these complexes are eliminated by the system of mononuclear phagocytes without development of pathological changes. This review highlights principal mechanisms responsible for safe removal of immune complexes in primates and humans. Special attention is given to diseases known as "immune complex diseases", when antigen-antibody complexes induce inflammatory reactions. The review considers key experimental works that significantly contributed to current knowledge of etiology and pathogenesis of type III hypersensitivity. Some factors of the development of immune complex syndrome such as level of humoral immune response to antigen, isotype and affinity of forming antibodies, the amount of immune complexes, and the consequences of their interaction with the complement system and Fc-receptors are analyzed based on the molecular mechanisms involved. The review contains a retrospective analysis of the most significant scientific achievements in immune complex pathology investigation within the last 100 years

\\\\expert2\\NBO\\Biochemistry\\2009, v.74, p. 469-479.pdf
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5.
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    Predicting the most deleterious missense nonsynonymous single-nucleotide polymorphisms of Hennekam syndrome-causing CCBE1 gene, in silico analysis / K. Shinwari, L. Guojun, S. S. Deryabina [et al.] // The Scientific World Journal. - 2021. - Ст. 6642626. - 19 p
Рубрики: ЗДРАВООХРАНЕНИЕ. МЕДИЦИНСКИЕ НАУКИ

https://doi.org/10.1155/2021/6642626
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6.
Инвентарный номер: нет.
   
   P 32


   
    Pattern recognition method in medicine / V. A. Chereshnev, V. D. Mazurov, L. N. Yurchenko, E. Yu. Gusev , A. V. Kim // Russian Journal of Numerical Analysis and Mathematical Modelling. - 2004. - Vol.19, № 4. - P281-292. - Bibliogr. : p. 292 (6 ref.)
ББК 57
Рубрики: ЗДРАВООХРАНЕНИЕ. МЕДИЦИНСКИЕ НАУКИ
Кл.слова (ненормированные):
BAYES METHOD -- LEARNING DIAGNOSTICS -- NEURONS
Аннотация: In this paper we consider models of learning diagnostics by precedents using pattern recognition methods and adjustment of layered neural nets. We show that in this case the problem reduces to the construction of committee constructions generalizing the notion of the solution to the system of linear inequalities. The methods proposed are justified. These methods are applied to the problems of medical diagnostics and for modelling empirical regularities

\\\\expert2\\NBO\\Russian Journal of Numerical Anal. and Math. Modelling\\2004. V. 19, N. 4. P. 281-292.pdf
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7.
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   P 32


   
    Pathogenesis and treatment of HIV infection: The cellular, the immune system and the neuroendocrine systems perspective / V. A. Chereshnev, G. Bocharov, S. Bazhan [et al.] // International Reviews of Immunology. - 2013. - Vol. 32, № 3. - P282-306. - Библиогр.: с. 305- 306 (80 ref.)
ББК 61
Рубрики: ЗДРАВООХРАНЕНИЕ. МЕДИЦИНСКИЕ НАУКИ
Кл.слова (ненормированные):
DISEASE PATHOGENESIS -- EFFECTIVE CURE -- MULTISCALE MODEl
Аннотация: Infections with HIV represent a great challenge for the development of strategies for an effective cure. The spectrum of diseases associated with HIV ranges from opportunistic infections and cancers to systemic physiological disorders like encephalopathy and neurocognitive impairment. A major progress in controlling HIV infection has been achieved by highly active antiretroviral therapy (HAART). However, HAART does neither eliminate the virus reservoirs in form of latently infected cells nor does it completely reconstitute immune reactivity and physiological status. Furthermore, the failure of the STEP vaccine trial and the only marginal efficacies of the RV144 trial together suggest that the causal relationships between the complex sets of viral and immunological processes that contribute to protection or disease pathogenesis are still poorly understood. Here, we provide an up-to-date overview of HIV-host interactions at the cellular, the immune system and the neuroendocrine systems level. Only by integrating this multi-level knowledge one will be able to handle the systems complexity and develop new methodologies of analysis and prediction for a functional restoration of the immune system and the health of the infected host

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8.
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    Novel disease-associated missense single-nucleotide polymorphisms variants predication by algorithms tools and molecular dynamics simulation of human TCIRG1 gene causing congenital neutropenia and osteopetrosis / K. Shinwari, H. Rehman, H. Liu Guojun [et al.] // Frontiers in Molecular Biosciences. - 2022. - Vol. 9. - Ст. 879875
Рубрики: ЗДРАВООХРАНЕНИЕ. МЕДИЦИНСКИЕ НАУКИ
Аннотация: T Cell Immune Regulator 1, ATPase H + Transporting V0 Subunit A3 (TCIRG1 gene provides instructions for making one part, the a3 subunit, of a large protein complex known as a vacuolar H + -ATPase (V-ATPase). V-ATPases are a group of similar complexes that act as pumps to move positively charged hydrogen atoms (protons) across membranes. Single amino acid changes in highly conserved areas of the TCIRG1 protein have been linked to autosomal recessive osteopetrosis and severe congenital neutropenia. We used multiple computational approaches to classify disease-prone single nucleotide polymorphisms (SNPs) in TCIRG1. We used molecular dynamics analysis to identify the deleterious nsSNPs, build mutant protein structures, and assess the impact of mutation. Our results show that fifteen nsSNPs (rs199902030, rs200149541, rs372499913, rs267605221, rs374941368, rs375717418, rs80008675, rs149792489, rs116675104, rs121908250, rs121908251, rs121908251, rs149792489 and rs116675104) variants are likely to be highly deleterious mutations as by incorporating them into wild protein they destabilize the wild protein structure and function. They are also located in the V-ATPase I domain, which may destabilize the structure and impair TCIRG1 protein activation, as well as reduce its ATPase effectiveness. These mutants have not yet been identified in patients suffering from CN and osteopetrosis while (G405R, R444L, and D517N) reported in our study are already associated with osteopetrosis. Mutation V52L reported in our study was identified in a patient suspected for CN. Finally, these mutants can help to further understand the broad pool of illness susceptibilities associated with TCIRG1 catalytic kinase domain activation and aid in the development of an effective treatment for associated diseases.

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9.
Инвентарный номер: нет.
   
   M 39


   
    Mathematical modelling of the within-host HIV quasispecies dynamics in response to antiviral treatment [Text] / G. A. Bocharov, I. S. Telatnikov, V. A. Chereshnev [et al.] // Russian Journal of Numerical Analysis and Mathematical Modelling. - 2015. - Vol. 30, № 3. - P157-170 : il. - Bibliogr. : p. 169-170 (29 ref.)
ББК 61
Рубрики: ЗДРАВООХРАНЕНИЕ. МЕДИЦИНСКИЕ НАУКИ
Кл.слова (ненормированные):
MATHEMATICAL MODEL -- HUMAN IMMUNODEFICIENCY VIRUS -- GENETIC ALGORITHM -- QUASISPECIES -- VIRUS INFECTION
Аннотация: The aim of this work is the construction, calibration, and comparative analysis of mathematical models of the evolution of the human immunodeficiency virus (HIV) in the course of infection when the models are based on deterministic principles of the quasispecies theory (Eigen-Schuster) and on stochastic approaches of genetic algorithms (Holland). The models take into account the replication of viral genomes and selection of descendants according to their fitness, point mutations, multi-infection of target cells and recombination of genomes at the stage of formation of proviral DNA. The processes of diversification of the virus population under the action of the antiviral drug azidothymidine (AZT) that blocks reverse transcription of the virus are simulated. A four-letter alphabet is used in the stochasticmodel for description of nucleotide sequences. The parameters of the model are estimated using original data on the degree of adaptation of the HIV mutants that are partly or completely resistant to this drug. The influence of parameters of infection on the characteristics of viral mutants population diversity is studied

\\\\expert2\\nbo\\Russian Journal of Numerical Anal. and Math. Modelling\\2015. V.30, N. 3. P. 157-170.pdf
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10.
Инвентарный номер: нет.
   
   M 39


   
    Mathematical modelling of mutant accumulation kinetics in a cloned viral population [Electronic resource] / A. V. Novoselov, A. B. Lozhnikov, V. A. Chereshnev, A. G. Sergeev, A. V. Kim, E. Tu. Gusev, V. G. Pimenov // Russian Journal of Numerical Analysis and Mathematical Modelling. - 2004. - Vol. 19, № 4. - P293-304. - Bibliogr. : p. 304 (18 ref.)
ББК 57
Рубрики: БИОЛОГИЧЕСКИЕ НАУКИ
Кл.слова (ненормированные):
CELLS -- LINEAR EQUATIONS -- MATHEMATICAL MODELS
Аннотация: The aim of this paper was to construct the mathematical model of the kinetics of non-hemagglutinating mutant accumulation in the cloned population of hemagglutinating echovirus 11 and to verify the model adequacy by comparing the results of biological and numerical experiments

\\\\expert2\\NBO\\Russian Journal of Numerical Anal. and Math. Modelling\\2004. V. 19, N. 4. P. 293-304.pdf
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