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Olga Barbarash,Olga Gruzdeva,Evgenya Uchasova,Yulia Dyleva,Ekaterina Belik,Olga Akbasheva,Victoria Karetnikova,Aleksandr Shilov 대한진단검사의학회 2016 Annals of Laboratory Medicine Vol.36 No.4
Background: Studying the role of soluble ST2 (sST2) during hospitalization for myocardial infarction (MI) can be helpful for predicting the course of the hospitalization and development of complications. Methods: We included 88 patients with MI (median age, 58 yr). Depending on the course of the hospitalization, the patients were divided into two groups: the favorable (n=58) and unfavorable (n=30) outcome groups. On days 1 and 12 after MI, serum sST2 and N-terminal pro-brain natriuretic peptide (NT-proBNP) were measured by ELISA. Results: On day 1, the concentrations of sST2 and NT-proBNP increased 2.4- and 4.5-fold, compared with the controls. Measurements on day 12 showed a significant decrease in the sST2 level (P=0.001), whereas the NT-proBNP level did not change. On day 1, the sST2 level in the unfavorable outcome group was 2-fold higher than that in the favorable outcome group and 3.7-fold higher than in the controls. On day 12, the marker level decreased in both groups. On day 1, the NT-proBNP level in the unfavorable outcome group was 6.8-fold higher than in the controls and 1.8-fold higher than in the favorable outcome group. On day 12, the level of NT-proBNP remained elevated in both groups. Determining the levels of both sST2 and NT-proBNP increases their diagnostic significance (odds ratio [OR], 1.92; 95% confidence interval [CI], 1.7-3.2; areas under curve [AUC] 0.89; P=0.004). Conclusions: The level of sST2 is a more sensitive indicator during MI hospitalization than NT-proBNP.
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Frequency of EGFR Mutations in Non-small Cell Lung Cancer Patients: Screening Data from West Siberia
Gervas, Polina,Ivanova, Anna,Vasiliev, Nikolay,Ananina, Olga,Zharkova, Olga,Rogovieva, Olga,Verzhbitskaya, Natalia,Didichuk, Ivan,Cheremisina, Olga,Popova, Natalia,Goldberg, Victor,Cherdyntsev, Evgeny Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.2
Background: Incorporation of molecular analysis of the epidermal growth factor receptor (EGFR) gene into routine clinical practice has shown great promise to provide personalized therapy of the non-small cell lung cancer (NSCLC) in the developed world. However, the genetic testing of EGFR mutations has not yet become routine clinical practice in territories remote from the central regions of Russia. Therefore, we aimed to study the frequency of major types of activating mutations of the EGFR gene in NSCLC patients residing in West Siberia. Materials and Methods: We examined EGFR mutations in exons 19 and 21 in 147 NSCLC patients (excluding squamous cell lung carcinomas) by real time polymerase chain reaction. Results: EGFR mutations were detected in 28 of the 147 (19%) patients. There were 19 (13%) cases with mutations in exon 19 and 9 cases (6%) in exon 21. Mutations were more frequently observed in women (42%, p=0.000) than in men (1%). A significantly higher incidence of EGFR mutations was observed in bronchioloalveolar carcinomas (28%, p=0.019) and in adenocarcinomas (21%, p=0.024) than in large cell carcinomas, mixed adenocarcinomas, and NOS (4%). The EGFR mutation rate was much higher in never-smokers than in smokers: 38% vs. 3% (p=0.000). The frequency of EGFR mutations in the Kemerovo and Tomsk regions was 19%. Conclusions: The incorporation of molecular analysis of the EGFR gene into routine clinical practice will allow clinicians to provide personalised therapy, resulting in a significant increase in survival rates and improvement in life quality of advanced NSCLC patients.
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Novel antigen panel for modern broad-spectrum recombinant rotavirus A vaccine
Olga A. Kondakova,Peter A. Ivanov,Oleg A. Baranov,Ekaterina M. Ryabchevskaya,Marina V. Arkhipenko,Eugene V. Skurat,Ekaterina A. Evtushenko,Nikolai A. Nikitin,Olga V. Karpova 대한백신학회 2021 Clinical and Experimental Vaccine Research Vol.10 No.2
Purpose: Recombinant rotavirus A vaccines are being developed as an alternative to existing live oral attenuated vaccines. One of the main problems in the production of such vaccines is the genetic diversity of the strains that are in circulation. The goal of this study was to create an antigen panel for modern broad-spectrum recombinant rotavirus A vaccine. Materials and Methods: The antigens of rotavirus were cloned and expressed in Escherichia coli. Antigenic specificity was investigated by Western blot analysis, which was performed using commercial polyclonal antisera to several RVA strains. Phylogenetic analysis was based on the amino acid sequences of the VP8* protein fragment of human RVA isolates representing genotypes P[4], P[6], and P[8]. Results: A universal panel of antigens was established, including consensus and conserved sequences of structural proteins VP8*, VP5*, and VP7, which are the main targets of neutralizing antibodies. For the first time, a consensus approach was used in the design of extended antigens based on VP8* (genotypes P[4], P[6], and P[8]) and VP5* (genotype P[8]) proteins’ fragments. In addition, a gene coding the protein (ep-875) containing several copies of conserved short neutralizing epitopes of VP8*, VP7, and VP5* was created. Western blot analysis demonstrated that three synthetic VP8*-based antigens were not recognized by commercial antiserum against rotavirus strains isolated more than 35 years ago, but the specific activity of the VP5* and ep-875 antigens was confirmed. The problems of serological mismatch of vaccine strains and antigens with currently circulating strains are discussed. Conclusion: Five antigens representing sequences of structural proteins belonging to different genotypes can be used in various combinations (from mono- to pentavalent mixtures) for the development of an effective broad-spectrum rotavirus vaccine.
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The Detection of Online Manipulated Reviews Using Machine Learning and GPT-3
Olga Chernyaeva,홍태호 한국지능정보시스템학회 2022 지능정보연구 Vol.28 No.4
Fraudulent companies or sellers strategically manipulate reviews to influence customers’ purchase decisions; therefore, the reliability of reviews has become crucial for customer decision-making. Since customers increasingly rely on online reviews to search for more detailed information about products or services before purchasing, many researchers focus on detecting manipulated reviews. However, the main problem in detecting manipulated reviews is the difficulties with obtaining data with manipulated reviews to utilize machine learning techniques with sufficient data. Also, the number of manipulated reviews is insufficient compared with the number of non-manipulated reviews, so the class imbalance problem occurs. The class with fewer examples is under-represented and can hamper a model’s accuracy, so machine learning methods suffer from the class imbalance problem and solving the class imbalance problem is important to build an accurate model for detecting manipulated reviews. Thus, we propose an OpenAI-based reviews generation model to solve the manipulated reviews imbalance problem, thereby enhancing the accuracy of manipulated reviews detection. In this research, we applied the novel autoregressive language model -GPT-3 to generate reviews based on manipulated reviews. Moreover, we found that applying GPT-3 model for oversampling manipulated reviews can recover a satisfactory portion of performance losses and shows better performance in classification (logit, decision tree, neural networks) than traditional oversampling models such as random oversampling and SMOTE.
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Modeling Interregional Clustering in Industry: The Case Study of Russia
Olga P. Smirnova,Alena O. Ponomareva 대한산업공학회 2021 Industrial Engineeering & Management Systems Vol.20 No.4
The paper deals with the relevant problem of industrial development in Russia’s regions. For the economic develop-ment of regions at a qualitatively new level, innovative clusters are an effective form of organizing industrial business. The positive effects of clustering are achieved, first of all, by combining the scientific and production potential of the territory. To model the processes of interregional clustering, the method of spatial econometrics based on Moran’s indices was used. The results of the study show that a number of Russian regions have a high potential for the creation and development of interregional ties. The development of industrial clustering at the interregional level can help to level the socio-economic development of regions. Relations between promising regions and those being sharply inferior to them in development, in the form of clusters, can lead to synergistic effects. It has been established that interregional interaction in traditional industries, such as metallurgy and mechanical engineering, is not always mutually beneficial. Territories of catching-up development can become resource donors in such relations. The authors have noted the priority of supporting interregional clusters, including high-tech enterprises. High-tech manufacturing is an active link in value chains. Therefore, the formation of interregional clustering in this area should become a strategic direction of industrial policy.
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Meiobenthos in Nha Trang Bay of the South China Sea (Vietman)
Olga N. Pavlyuk,Julia A. Trebukhova 한국해양과학기술원 2006 Ocean science journal Vol.41 No.3
The distribution of the taxonomical composition and the density of meiobenthos depending on the sediment type has been studied in bottom sediments of Nha Trang Bay. The maximal population density and the taxonomical diversity were observed in the silted coarse and heterogeneous sand (1031.4419.7 ind. 10cm-2), whereas the minimal level of density and diversity (588.1152.5 ind. 10cm-2) was in the coarse and heterogeneous sand with shell debris and corals. The correlation between the median diameter of sediment particles and population density of meiobenthos has been revealed (r=0.82, p<0.05). In bottom sediments of Nha Trang Bay, twenty six taxonomic groups of meiobenthos were observed. Nematodes dominated in all sediment types. Representatives of four orders, twenty eight families and ninety seven genera of marine nematodes were identified. The vertical distribution of meiobenthos in different sediment types was considered. A sediment column (10 cm height) was sectioned by five 2 cm portions. In the last layer (8-10 cm) the most number of meiobenthic groups was found in sandy sediments. In the lower layers of silt sediments, only nematodes were found.
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Intertidal Meiofauna of Jeju Island, Korea
Olga N. Pavlyuk,Yulia Trebukhova 한국해양과학기술원 2011 Ocean science journal Vol.46 No.1
For the first time, the structure of the meiobenthos community and marine nematodes in particular was investigated in the different intertidal zones of Jeju Island (South Sea of Korea). A relationship was found between the density of meiobenthic communities and the type of the bottom sediment. In addition, in the silty sediments, nematodes were dominant, while in the sandy sediments harpacticoids and ostracods were dominant groups. Sixty eight species belonging to 60 genera and 19 families of nematodes were found in the whole area. Four different nematode taxocenosis were distinguished using a cluster analysis. Dominant feeding groups were omnivores (2B) and epistratumfeeders (2A). The highest number of non-selective depositfeeders (1B) was detected in the lagoon with the bottom silty sediments.
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