Decision Making Tool to Determine Implementation Innovations in the TImber Processing Sector of Russia

The article analyzes the actual problems of innovation in the timber processing complex of Russia. A methodology for their application and implementation in this area has been developed

Antiviral Activity of Extracts from Basidiomycetes for Orthopoxviruses

Carried out was evaluation of the effect of water extracts from basidiomycetes in Vero cell culture on variola virus, and vaccinia virus. Antiviral effect demonstrated Inonotus obliquus (Chaga), befungin and melanin from chaga, Ganoderma applanatum (Artist’s Bracket) , Fomitopsis officinalis (Larch Fungus)

Studies of Anti-Viral Activity of Chemically Synthesized Compounds against Orthopoxviruses <I>in vitro</I>

for ST-246 and NIOC-14 is within the range of 0,001-0,004 µg/ml, and IS for both of them is > 100000. In addition, ST-246 and NIOC-14 chemical compound efficacy, concentrated up to 0,0125; 0,025 and 0,05 µg/ml, in accordance with prophylactic charts describing an impact on ectromelia virus (EV) infectivity in vitro, is consequently 0,6; 3 and 1 lg higher than in case of compound application after an hour of Vero cells infection with EV

DIGITAL CURRENCY - ASSESSMENT AND PROSPECTS OF IMPLEMENTATION AS A INCENTIVE FOR THE DEVELOPMENT OF THE FINANCIAL SYSTEM

Разработка и внедрение цифровой валюты государства – необходимая мера по развитию и внедрению высокотехнологичных инструментов для развития и формирования независимости финансовой системы государства. Ряд экономических потрясений, таких как пандемия COVID-19, введение санкций в 2022 году являются важнейшими драйверами для анализа, оценки и прогнозирования мер широкого внедрения цифровой валюты. Развитие локальных экономических цепочек, взаимодействие с партнерами по блоку ЕАЭС дают благоприятный ключ для создания цифрового средства платежа. Собственная цифровая валюта также позволит постепенно снижать зависимость от курса доллара, как основной валюты международного взаимодействия.The development and implementation of the digital currency of the state is a necessary measure for the development and implementation of high-tech tools for the development and formation of the independence of the financial system of the state. A number of economic shocks, such as the COVID-19 pandemic, the imposition of sanctions in 2022, are the most important drivers for the analysis, evaluation and forecasting of measures for the widespread adoption of digital currency. The development of local economic chains, interaction with partners in the EAEU block provide a favorable key to creating a digital means of payment. Own digital currency will also allow gradually reducing dependence on the dollar, as the main currency of international interaction

Present tectonics of the southeast of Russia as seen from GPS observations

The present tectonics of Northeast Asia has been extensively investigated during the last 12 yr by using GPS techniques. Nevertheless, crustal velocity field of the southeast of Russia near the northeastern boundaries of the hypothesized Amurian microplate has not been defined yet. The GPS data collected between 1997 February and 2009 April at sites of the regional geodynamic network were used to estimate the recent geodynamic activity of this area. The calculated GPS velocities indicate almost internal (between network sites) and external (with respect to the Eurasian tectonic plate) stability of the investigated region. We have not found clear evidences of any notable present-day tectonic activity of the Central Sikhote-Alin Fault as a whole. This fault is the main tectonic unit that determines the geological structure of the investigated region. The obtained results speak in favour of the existence of a few separate blocks and a more sophisticated structure of the proposed Amurian microplate in comparison with an indivisible plate approach

Aggregation of Multimodal ICE-MS Data into Joint Classifier Increases Quality of Brain Cancer Tissue Classification

Mass spectrometry fingerprinting combined with multidimensional data analysis has been proposed in surgery to determine if a biopsy sample is a tumor. In the specific case of brain tumors, it is complicated to obtain control samples, leading to model overfitting due to unbalanced sample cohorts. Usually, classifiers are trained using a single measurement regime, most notably single ion polarity, but mass range and spectral resolution could also be varied. It is known that lipid groups differ significantly in their ability to produce positive or negative ions; hence, using only one polarity significantly restricts the chemical space available for sample discrimination purposes. In this work, we have developed an approach employing mass spectrometry data obtained by eight different regimes of measurement simultaneously. Regime-specific classifiers are trained, then a mixture of experts techniques based on voting or mean probability is used to aggregate predictions of all trained classifiers and assign a class to the whole sample. The aggregated classifiers have shown a much better performance than any of the single-regime classifiers and help significantly reduce the effect of an unbalanced dataset without any augmentation

Shapley Value as a Quality Control for Mass Spectra of Human Glioblastoma Tissues

The automatic processing of high-dimensional mass spectrometry data is required for the clinical implementation of ambient ionization molecular profiling methods. However, complex algorithms required for the analysis of peak-rich spectra are sensitive to the quality of the input data. Therefore, an objective and quantitative indicator, insensitive to the conditions of the experiment, is currently in high demand for the automated treatment of mass spectrometric data. In this work, we demonstrate the utility of the Shapley value as an indicator of the quality of the individual mass spectrum in the classification task for human brain tumor tissue discrimination. The Shapley values are calculated on the training set of glioblastoma and nontumor pathological tissues spectra and used as feedback to create a random forest regression model to estimate the contributions for all spectra of each specimen. As a result, it is shown that the implementation of Shapley values significantly accelerates the data analysis of negative mode mass spectrometry data alongside simultaneous improving the regression models’ accuracy

Spherical Sampler Probes Enhance the Robustness of Ambient Ionization Mass Spectrometry for Rapid Drugs Screening

Ambient ionization mass spectrometry has become one of the most promising approaches for rapid and high-throughput screening of small molecules in complex biological matrices for emergency medicine, forensics, and food and agriculture applications. The simple procedures for sample collection and ionization without additional pretreatment are vital in these fields. Many efforts have been devoted to modifying various ambient ionization techniques to simplify the procedures and improve the robustness and sensitivity of the methods. Here, we demonstrate the implementation of rigid spherical sampler probes to improve the robustness of touch spray ionization mass spectrometry. The sphericity of the probes increases the stability of the cone-jet mode of electrospray, reduces the requirements for fine positioning of a sampler in the ion source, and decreases the possibility of corona discharge occurrence. The utilization of spherical sampler probes allows fast, non-invasive sampling, followed by rapid analysis for various drugs of different chemical classes in complex biological matrices, such as the whole blood or sebum collected from the skin surface. The linearity of the analytical signal response from drug concentration confirms the possibility of creating a simple semiquantitative method for small molecules monitoring using spherical sampler probes

Properties of Pandemic Influenza Virus Strains Isolated in the Territory of Russia

The first cases of the disease caused by pandemic (H1N1) 2009 influenza virus in the territory of the Russian Federation were registered at the end of May, 2009. 3 strains of pandemic (H1N1)2009 influenza virus were isolated from patients. Properties of the strains isolated in the territory of Russia were studied in comparison with those of two reference strains A/California/04/2009(H1N1) and A/California/07/2009(H1N1)v. Analysis of primary gene sequence and examination of biological properties of the strains isolated in the territory of Russia suggested their close relationship with A/California/04/2009(H1N1)v and A/California/07/2009(H1N1)v strains

Lipid Profiles of Human Brain Tumors Obtained by High-Resolution Negative Mode Ambient Mass Spectrometry

Alterations in cell metabolism, including changes in lipid composition occurring during malignancy, are well characterized for various tumor types. However, a significant part of studies that deal with brain tumors have been performed using cell cultures and animal models. Here, we present a dataset of 124 high-resolution negative ionization mode lipid profiles of human brain tumors resected during neurosurgery. The dataset is supplemented with 38 non-tumor pathological brain tissue samples resected during elective surgery. The change in lipid composition alterations of brain tumors enables the possibility of discriminating between malignant and healthy tissues with the implementation of ambient mass spectrometry. On the other hand, the collection of clinical samples allows the comparison of the metabolism alteration patterns in animal models or in vitro models with natural tumor samples ex vivo. The presented dataset is intended to be a data sample for bioinformaticians to test various data analysis techniques with ambient mass spectrometry profiles, or to be a source of clinically relevant data for lipidomic research in oncology