Illya Ilyich Mechnikov's contribution to the fight against tuberculosis: results of the 1911 Astrakhan expedition

Our compatriot, well-known scientist, Nobel Prize winner in medicine and physiology Ilya Ilyich Mechnikov left a bright mark not only in domestic but also in world science. Ilya Ilyich's multifaceted scientific activity was devoted to various areas of research in biology and medicine. The scientist's success in studying important problems of zoology, embryology, comparative pathology, gerontology, immunology, virology and bacteriology is renowned around the world. One of the areas of his research activity aimed at studying tuberculosis. In May 1911, the Pasteur Institute organized the Astrakhan expedition led by I.I. Mechnikov. Leading scientists were among the participants of the expedition – specialists in microbiology and epidemiology from Russia, France, Italy and Japan. The expedition was to address important issues related to the spread of plague and tuberculosis in the Kalmyk steppes. Ilya Ilyich Mechnikov set the task to use diagnostic tests (Pirke test and ophthalmological test) to determine the level of tuberculosis infection in the steppe population and to investigate the relationship between the incidence of tuberculosis and increased contact of Kalmyks with non-steppe population. The work of the Astrakhan expedition led by I.I. Mechnikov became the starting point for successful studies of tuberculosis infection. When beginning studying tuberculosis, I.I. Mechnikov planned to completely defeat this disease. Although he did not achieve this goal, scientific conclusions made by Mechnikov while studying biological properties of the pathogen and mechanisms of immunity to tuberculosis were further developed, and joint efforts of domestic and foreign scientists made it possible to elaborate tailor-made measures for particular regions to prevent tuberculosis and justify the use of antimicrobials in the treatment of this infection.DOI: 10.5281/zenodo.388524

Inclusion as a form of social inequality overcoming in the educational environment

© 2017 Serials Publications.The urgency of the study is caused by the need for social adaptation of people with disabilities, their education and development. A serious problem here is the acceptance by the society of this category of citizens as its equal members. The aim of the paper is to identify the readiness of Russian society, in particular the higher education system, to implement inclusive education. The authors disclose the concepts of inclusion and inclusive education, transparent to the modern social situation. Two models of disability are proposed - medical (defining disability through the presence of health disorders) and social (defining people with disabilities or disorders due to physical or organizational barriers in society, prejudices and stereotypes). The main activity within the medical model is the minimization or reduction of violations through medical intervention and therapy. The social model promotes the equality of all members of society and the provision of equal opportunities for all in obtaining education, above all. The paper presents data obtained in the course of sociological studies conducted, among others, by public organizations of disabled people. The authors propose a way of social inequality overcoming through the implementation of inclusive education. The materials of the paper are intended for heads of educational organizations, teachers, psychologists, employees of social services

Experience in implementing a program for basic life support and available automated defibrillation in a cancer center

Unified approaches to ensuring the chain of survival can improve the patient’s prognosis both in out-of-hospital and in-hospital cardiac arrest.Aim. To discuss practical issues of introducing a program for the availability of automated external defibrillation in a cancer center.Material and methods. For four years, our healthcare facility has been implementing a training program for basic and advanced life support according to the European Resuscitation Council standards, combined with the creation and development of an infrastructure for the availability of automatic defibrillation. A roadmap and infrastructure were developed for the project implementation.Results. In 2018-2022, 229 employees (114 doctors, 85 nurses and 30 nonmedical workers) were trained under the basic life support program. Fifteen defibrillators were placed in various units. During the specified period, first aid in case of sudden cardiac arrest using an automated external defibrillator before the resuscitation team arrival was independently provided by doctors and nurses of departments three times. To implement training in the continuous education system, the curriculum has passed the examination and accreditation in the edu. rosminzdrav system.Conclusion. The development and implementation of such initiatives requires significant organizational and methodological work, including continuous education system. However, in our opinion, this is an extremely useful tool for improving the safety and quality of medical care

Simcluster: clustering enumeration gene expression data on the simplex space

Transcript enumeration methods such as SAGE, MPSS, and sequencing-by-synthesis EST "digital northern", are important high-throughput techniques for digital gene expression measurement. As other counting or voting processes, these measurements constitute compositional data exhibiting properties particular to the simplex space where the summation of the components is constrained. These properties are not present on regular Euclidean spaces, on which hybridization-based microarray data is often modeled. Therefore, pattern recognition methods commonly used for microarray data analysis may be non-informative for the data generated by transcript enumeration techniques since they ignore certain fundamental properties of this space.

Here we present a software tool, Simcluster, designed to perform clustering analysis for data on the simplex space. We present Simcluster as a stand-alone command-line C package and as a user-friendly on-line tool. Both versions are available at: http://xerad.systemsbiology.net/simcluster.

Simcluster is designed in accordance with a well-established mathematical framework for compositional data analysis, which provides principled procedures for dealing with the simplex space, and is thus applicable in a number of contexts, including enumeration-based gene expression data

PREDICTING THE RISK OF PROTHROMBOTIC CHANGES IN ADOLESCENTS WITH ESSENTIAL HYPERTENSION

Today, the problem of early diagnosis of hematological changes predisposing to the development of thrombotic complications in patients with essential hypertension (EH) is an urgent problem that requires close attention not only of physicians, but also of pediatricians. The aim of the study was the development of prognostic criteria for risk of prothrombotic changes (PC) in adolescents with EH, timely preventive measures and prevention of thrombotic complications. Sixty adolescents with EH without PC and 37 adolescents with EH and PC were examined. We used the following methods: clinical anamnestic (including genealogy), functional and ultrasound, laboratory, mathematical and statistical. To create a mathematical model of forecasting, discriminant analysis was used, with the help of which from the 59 proposed predictors the algorithm selected 8 most informative features: the C777T polymorphism of the 5,10-methylenetetrahydrofolate reductase gene, the A66G gene of the methionine synthase reductase gene, the daily diastolic blood pressure level, the level of the nocturnal systolic arterial pressure-time index of hypertension, systolic blood pressure during the day, weighed down by thrombotic genealogically history, early onset of thrombosis, burdened thrombotic genealogical history. Our method for predicting the risk of developing PC allows to place adolescents with EH having an increased risk of developing these coagulation shifts in a separate group, to identify thrombogenic risk in adolescence and, if necessary, to initiate preventive measures in time to reduce the incidence of thrombotic complications of EH and mortality of patients

Burnout syndrome among doctors

This article presents a systematic review from 2009-2020 оn the topic of professional burnout among doctorsВ данной работе представлены результаты систематического обзора научных работ отечественных и зарубежных авторов, опубликованных в период с 2009-2020 гг. на тему профессионального выгорания среди враче

Search for active-sterile neutrino mixing using neutral-current interactions in NOvA

We report results from the first search for sterile neutrinos mixing with active neutrinos through a reduction in the rate of neutral-current interactions over a baseline of 810 km between the NOvA detectors. Analyzing a 14-kton detector equivalent exposure of 6.05 x 10(20) protons-on-target in the NuMI beam at Fermilab, we observe 95 neutral-current candidates at the Far Detector compared with 83.5 +/- 9.7(stat) +/- 9.4(syst) events predicted assuming mixing only occurs between active neutrino species. No evidence for upsilon(mu) -\u3e upsilon(mu) transitions is found. Interpreting these results within a 3 + 1 model, we place constraints on the mixing angles theta(24) \u3c 20.8 degrees and theta(34) \u3c 31.2 degrees at the 90% C.L. for 0.05 eV(2) \u3c= Delta m(41)(2) \u3c= 0.5 eV(2), the range of mass splittings that produce no significant oscillations over the Near Detector baseline

Model order selection for bio-molecular data clustering

Background: Cluster analysis has been widely applied for investigating structure in bio-molecular data. A drawback of most clustering algorithms is that they cannot automatically detect the ”natural ” number of clusters underlying the data, and in many cases we have no enough ”a priori ” biological knowledge to evaluate both the number of clusters as well as their validity. Recently several methods based on the concept of stability have been proposed to estimate the ”optimal ” number of clusters, but despite their successful application to the analysis of complex bio-molecular data, the assessment of the statistical significance of the discovered clustering solutions and the detection of multiple structures simultaneously present in high-dimensional bio-molecular data are still major problems. Results: We propose a stability method based on randomized maps that exploits the high-dimensionality and relatively low cardinality that characterize bio-molecular data, by selecting subsets of randomized linear combinations of the input variables, and by using stability indices based on the overall distribution of similarity measures between multiple pairs of clusterings performed on the randomly projected data. A χ 2-based statistical test is proposed to assess the significance of the clustering solutions and to detect significant and if possible multi-level structures simultaneously present in the data (e.g. hierarchical structures)

Development of a concept and basis for the DEMO diagnostic and control system

An initial concept for the plasma diagnostic and control (D&C) system has been developed as part of European studies towards the development of a demonstration tokamak fusion reactor (DEMO). The main objective is to develop a feasible, integrated concept design of the DEMO D&C system that can provide reliable plasma control and high performance (electricity output) over extended periods of operation. While the fusion power is maximized when operating near to the operational limits of the tokamak, the reliability of operation typically improves when choosing parameters significantly distant from these limits. In addition to these conflicting requirements, the D&C development has to cope with strong adverse effects acting on all in vessel components on DEMO (harsh neutron environment, particle fluxes, temperatures, electromagnetic forces, etc.). Moreover, space allocation and plasma access are constrained by the needs for first wall integrity and optimization of tritium breeding. Taking into account these boundary conditions, the main DEMO plasma control issues have been formulated, and a list of diagnostic systems and channels needed for plasma control has been developed, which were selected for their robustness and the required coverage of control issues. For a validation and refinement of this concept, simulation tools are being refined and applied for equilibrium, kinetic and mode control studies

Spallation reactions. A successful interplay between modeling and applications

The spallation reactions are a type of nuclear reaction which occur in space by interaction of the cosmic rays with interstellar bodies. The first spallation reactions induced with an accelerator took place in 1947 at the Berkeley cyclotron (University of California) with 200 MeV deuterons and 400 MeV alpha beams. They highlighted the multiple emission of neutrons and charged particles and the production of a large number of residual nuclei far different from the target nuclei. The same year R. Serber describes the reaction in two steps: a first and fast one with high-energy particle emission leading to an excited remnant nucleus, and a second one, much slower, the de-excitation of the remnant. In 2010 IAEA organized a worskhop to present the results of the most widely used spallation codes within a benchmark of spallation models. If one of the goals was to understand the deficiencies, if any, in each code, one remarkable outcome points out the overall high-quality level of some models and so the great improvements achieved since Serber. Particle transport codes can then rely on such spallation models to treat the reactions between a light particle and an atomic nucleus with energies spanning from few tens of MeV up to some GeV. An overview of the spallation reactions modeling is presented in order to point out the incomparable contribution of models based on basic physics to numerous applications where such reactions occur. Validations or benchmarks, which are necessary steps in the improvement process, are also addressed, as well as the potential future domains of development. Spallation reactions modeling is a representative case of continuous studies aiming at understanding a reaction mechanism and which end up in a powerful tool.Comment: 59 pages, 54 figures, Revie