9 research outputs found

    Educational-industrial cluster for development of youth entrepreneurship

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    The purpose of the research is to develop theoretical and methodological approaches, as well as practical guidance for the production and education cluster in the construction sector of the Penza Region, Russia as it is an effective tool for the development of youth entrepreneurship. The article discusses the theory of the education clusters, the definition and peculiarities of the production and education cluster, as well as the factors of the production and education cluster development in the construction sector. The authors analyze the challenges that should be overcome within the framework of the development of the production and education cluster. They also describe the effects from the interaction of all cluster members. The article reviews and evaluates the activities of Russian and foreign education clusters. It defines the goals for the industrial cluster and presents a model for the strategic development of the production and education cluster in the construction sector of the Penza Region

    Development of industrial clusters based on the implementation of joint investment projects

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    Educational-industrial cluster for development of youth entrepreneurship

    No full text
    The purpose of the research is to develop theoretical and methodological approaches, as well as practical guidance for the production and education cluster in the construction sector of the Penza Region, Russia as it is an effective tool for the development of youth entrepreneurship. The article discusses the theory of the education clusters, the definition and peculiarities of the production and education cluster, as well as the factors of the production and education cluster development in the construction sector. The authors analyze the challenges that should be overcome within the framework of the development of the production and education cluster. They also describe the effects from the interaction of all cluster members. The article reviews and evaluates the activities of Russian and foreign education clusters. It defines the goals for the industrial cluster and presents a model for the strategic development of the production and education cluster in the construction sector of the Penza Region.</jats:p

    Educational-industrial cluster for development of youth entrepreneurship

    No full text
    The purpose of the research is to develop theoretical and methodological approaches, as well as practical guidance for the production and education cluster in the construction sector of the Penza Region, Russia as it is an effective tool for the development of youth entrepreneurship. The article discusses the theory of the education clusters, the definition and peculiarities of the production and education cluster, as well as the factors of the production and education cluster development in the construction sector. The authors analyze the challenges that should be overcome within the framework of the development of the production and education cluster. They also describe the effects from the interaction of all cluster members. The article reviews and evaluates the activities of Russian and foreign education clusters. It defines the goals for the industrial cluster and presents a model for the strategic development of the production and education cluster in the construction sector of the Penza Region

    Apremilast Pharmacogenomics in Russian Patients with Moderate-to-Severe and Severe Psoriasis

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    One of the target drugs for plaque psoriasis treatment is apremilast, which is a selective phosphodiesterase 4 (PDE4) inhibitor. In this study, 34 moderate-to-severe and severe plaque psoriasis patients from Russia were treated with apremilast for 26 weeks. This allowed us to observe the effectiveness of splitting patient cohorts based on clinical outcomes, which were assessed using the Psoriasis Area Severity Index (PASI). In total, 14 patients (41%) indicated having an advanced outcome with delta PASI 75 after treatment; 20 patients indicated having moderate or no effects. Genome variability was investigated using the Illumina Infinium Global Screening Array. Genome-wide analysis revealed apremilast therapy clinical outcome associations at three compact genome regions with undefined functions situated on chromosomes 2, 4, and 5, as well as on a single single-nucleotide polymorphism (SNP) on chromosome 23. Pre-selected SNP sets were associated with psoriasis vulgaris analysis, which was used to identify four SNP-associated targeted therapy efficiencies: IL1β (rs1143633), IL4 (IL13) (rs20541), IL23R (rs2201841), and TNFα (rs1800629) genes. Moreover, we showed that the use of the global polygenic risk score allowed for the prediction of onset psoriasis in Russians. Therefore, these results can serve as a starting point for creating a predictive model of apremilast therapy response in the targeted therapy of patients with psoriasis vulgaris.</jats:p

    Apremilast Pharmacogenomics in Russian Patients with Moderate-to-Severe and Severe Psoriasis

    No full text
    One of the target drugs for plaque psoriasis treatment is apremilast, which is a selective phosphodiesterase 4 (PDE4) inhibitor. In this study, 34 moderate-to-severe and severe plaque psoriasis patients from Russia were treated with apremilast for 26 weeks. This allowed us to observe the effectiveness of splitting patient cohorts based on clinical outcomes, which were assessed using the Psoriasis Area Severity Index (PASI). In total, 14 patients (41%) indicated having an advanced outcome with delta PASI 75 after treatment; 20 patients indicated having moderate or no effects. Genome variability was investigated using the Illumina Infinium Global Screening Array. Genome-wide analysis revealed apremilast therapy clinical outcome associations at three compact genome regions with undefined functions situated on chromosomes 2, 4, and 5, as well as on a single single-nucleotide polymorphism (SNP) on chromosome 23. Pre-selected SNP sets were associated with psoriasis vulgaris analysis, which was used to identify four SNP-associated targeted therapy efficiencies: IL1&beta; (rs1143633), IL4 (IL13) (rs20541), IL23R (rs2201841), and TNF&alpha; (rs1800629) genes. Moreover, we showed that the use of the global polygenic risk score allowed for the prediction of onset psoriasis in Russians. Therefore, these results can serve as a starting point for creating a predictive model of apremilast therapy response in the targeted therapy of patients with psoriasis vulgaris
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