Innovations as factor of absorptive capacity of FDI spillovers across regions of Russian Federation

We study how innovations affect increase of regional total factor productivity (TFP) as a result of productivity spillovers from foreign direct investment (FDI), and confirm the presence of phenomenon in Russian data. TFP is modeled using data envelopment analysis (DEA) with the human capital, energy and capital as inputs, and the gross regional product as output. We develop innovations index for the regions of the RF, proxying for regional absorptive capacity, based on 17 variables, characterizing economic, social and infrastructural aspects of regional development. FDI variable accounts for spatial distribution of FDI flows. We confirm the presence of FDI spillovers in Russia and moderating role of innovations

Innovations as factor of absorptive capacity of FDI spillovers across regions of Russian Federation

We study how innovations affect increase of regional total factor productivity (TFP) as a result of productivity spillovers from foreign direct investment (FDI), and confirm the presence of phenomenon in Russian data. TFP is modeled using data envelopment analysis (DEA) with the human capital, energy and capital as inputs, and the gross regional product as output. We develop innovations index for the regions of the RF, proxying for regional absorptive capacity, based on 17 variables, characterizing economic, social and infrastructural aspects of regional development. FDI variable accounts for spatial distribution of FDI flows. We confirm the presence of FDI spillovers in Russia and moderating role of innovations

Modeling of the atmospheric response to a strong decrease of the solar activity

We estimate the consequences of a potential strong decrease of the solar activity using the model simulations of the future driven by pure anthropogenic forcing as well as its combination with different solar activity related factors: total solar irradiance, spectral solar irradiance, energetic electron precipitation, solar protons and galactic cosmic rays. The comparison of the model simulations shows that introduced strong decrease of solar activity can lead to some delay of the ozone recovery and partially compensate greenhouse warming acting in the direction opposite to anthropogenic effects. The model results also show that all considered solar forcings are important in different atmospheric layers and geographical regions. However, in the global scale the solar irradiance variability can be considered as the most important solar forcing. The obtained results constitute probably the upper limit of the possible solar influence. Development of the better constrained set of future solar forcings is necessary to address the problem of future climate and ozone layer with more confidenc

Exploring the use of unmanned aerial vehicles for automated oil spill identification

The potential use of unmanned aerial vehicles for the identification of oil spills poses a number of critical challenges related to the selection and justification of the hardware and software to be used. The purpose of this article is to analyse the technical solutions and characteristics required to enable the use of unmanned aerial vehicles in oil spill identification tasks. The author provides a comprehensive study of the issue presented, including a description of the necessary technical equipment and requirements in relation to the composition of the unmanned aerial vehicle

Montreal Protocol's impact on the ozone layer and climate

It is now recognized and confirmed that the ozone layer shields the biosphere from dangerous solar UV radiation and is also important for the global atmosphere and climate. The observed massive ozone depletion forced the introduction of limitations on the production of halogen-containing ozone-depleting substances (hODS) by the Montreal Protocol and its Amendments (MPA). Further research was aimed at analyzing the role played by the Montreal Protocol to increase public awareness of its necessity. In this study, we evaluate the benefits of the Montreal Protocol on climate and ozone evolution using the Earth system model (ESM) SOCOLv4.0 which includes dynamic ocean, sea ice, interactive ozone, and stratospheric aerosol modules. Here, we analyze the results of the numerical experiments performed with and without limitations on the ozone-depleting substances emissions. In the experiments, we have used CMIP6 SSP2-4.5 and SSP5-8.5 scenarios for future forcing behavior. We confirm previous results relative to catastrophic ozone layer depletion in the case without MPA limitations. The climate effects of MPA consist of additional global mean warming by up to 2.5 K in 2100 caused by the direct radiative effect of the hODS. We also obtained dramatic changes in several essential climate variables such as regional surface air temperature, sea-ice cover, and precipitation fields. Our research updates and complements previous modeling studies on the quantification of MPA benefits for the terrestrial atmosphere and climate.</p

Current advances in gene therapy of mitochondrial diseases

Mitochondrial diseases (MD) are a heterogeneous group of multisystem disorders involving metabolic errors. MD are characterized by extremely heterogeneous symptoms, ranging from organ-specific to multisystem dysfunction with different clinical courses. Most primary MD are autosomal recessive but maternal inheritance (from mtDNA), autosomal dominant, and X-linked inheritance is also known. Mitochondria are unique energy-generating cellular organelles designed to survive and contain their own unique genetic coding material, a circular mtDNA fragment of approximately 16,000 base pairs. The mitochondrial genetic system incorporates closely interacting bi-genomic factors encoded by the nuclear and mitochondrial genomes. Understanding the dynamics of mitochondrial genetics supporting mitochondrial biogenesis is especially important for the development of strategies for the treatment of rare and difficult-to-diagnose diseases. Gene therapy is one of the methods for correcting mitochondrial disorders

Duchenne Muscular Dystrophy Animal Models

Duchenne muscular dystrophy is a complex and severe orphan disease. It develops when the organism lacks the expression of dystrophin - a large structural protein. Dystrophin is transcribed from the largest gene in the human genome. At the moment, there is no cure available. Dozens of groups all over the world search for cure. Animal models are an important component of both the fundamental research and therapy development. Many animal models reproducing the features of disease were created and actively used since the late 80’s until present. The species diversity spans from invertebrates to primates and the genetic diversity of these models spans from single mutations to full gene deletions. The models are often non-interchangeable; while one model may be used for particular drug design it may be useless for another. Here we describe existing models, discuss their advantages and disadvantages and potential applications for research and therapy development

IMPLEMENTATION OF THE CONTINUOUS IMPROVEMENT CYCLE FOR BUSINESS PROCESSES INTO THE QUALITY MANAGEMENT SYSTEM OF PHARMACEUTICAL INDUSTRY ENTERPRISES

The economic situation in the global pharmaceutical market has undergone profound changes over the past decades, driven by various factors, including the advancement of technology, digitization, emergence of new epidemiological threats, geopolitical conflicts, and more. These factors increase the social significance of pharmaceutical production and stimulate heightened competition, thereby elevating the responsibility of manufacturers for the quality and safety of pharmaceutical products.In this context, quality issues become vital for pharmaceutical enterprises, shaping the future of pharmacy in the 21st century.The article explores the issue of quality management in pharmaceutical complex enterprises and substantiates the necessity of implementing the PDCA (Plan-Do-Check-Act) methodology in the operations of pharmaceutical industry enterprises during the regulation and documentation of quality management processes. The advantages that this methodology can provide in achieving the goals of continuous improvement and enhancing the efficiency of quality management system processes are discussed.This article explores the integration of the PDCA (Plan-Do-Check-Act) methodology into the quality management system of pharmaceutical enterprises, leveraging insights from the ISO 9001 standard. The article offers recommendations for interpreting the PDCA cycle within the framework of ISO 9001 and proposes practical approaches to implementing the PDCA methodology in shaping pharmaceutical quality management systems