119 research outputs found

    THE POSTULATES OF THE ORGANIZATION OF THE GAME ACTIVITY A. S. MAKARENKO IN THE MODERN CAREER GUIDANCE GAME Β«PROFESSIONS OF THE FUTUREΒ»

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    Π’ ΡΡ‚Π°Ρ‚ΡŒΠ΅ Ρ€Π°ΡΡΠΌΠ°Ρ‚Ρ€ΠΈΠ²Π°ΡŽΡ‚ΡΡ Π±Π°Π·ΠΎΠ²Ρ‹Π΅ постулаты ΠΎΡ€Π³Π°Π½ΠΈΠ·Π°Ρ†ΠΈΠΈ ΠΈΠ³Ρ€ΠΎΠ²ΠΎΠΉ Π΄Π΅ΡΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ А. Π‘. ΠœΠ°ΠΊΠ°Ρ€Π΅Π½ΠΊΠΎ ΠΏΡ€ΠΈΠΌΠ΅Π½ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎ ΠΊ соврСмСнной ΠΏΡ€ΠΎΡ„ΠΎΡ€ΠΈΠ΅Π½Ρ‚Π°Ρ†ΠΈΠΎΠ½Π½ΠΎΠΉ ΠΈΠ³Ρ€Π΅ Β«ΠŸΡ€ΠΎΡ„Π΅ΡΡΠΈΠΈ Π±ΡƒΠ΄ΡƒΡ‰Π΅Π³ΠΎΒ». ВоспитаниС Π±ΡƒΠ΄ΡƒΡ‰Π΅Π³ΠΎ дСятСля начинаСтся Π² ΠΈΠ³Ρ€Π΅, ΠΊΠ°ΠΊΠΎΠ² Ρ€Π΅Π±Π΅Π½ΠΎΠΊ Π² ΠΈΠ³Ρ€Π΅, Ρ‚Π°ΠΊΠΎΠ² ΠΎΠ½ Π±ΡƒΠ΄Π΅Ρ‚ ΠΈ Π² Ρ€Π°Π±ΠΎΡ‚Π΅. Π’Π°ΠΆΠ½ΠΎ, с ΠΊΠ΅ΠΌ ΠΎΠ½ ΠΈΠ³Ρ€Π°Π΅Ρ‚ ΠΈ Π²ΠΎ Ρ‡Ρ‚ΠΎ ΠΈΠ³Ρ€Π°Π΅Ρ‚. Π˜Π³Ρ€ΡƒΡˆΠΊΠ° Ρ‚ΠΎΠ³Π΄Π° Ρ…ΠΎΡ€ΠΎΡˆΠ°, ΠΊΠΎΠ³Π΄Π° Ρ€Π΅Π±Π΅Π½ΠΎΠΊ Π½Π΅ ΠΈΠ³Ρ€Π°Π΅Ρ‚, Π° дСйствуСт. Π’ΠΈΠ΄Ρ‹ ΠΈΠ³Ρ€ΡƒΡˆΠ΅ΠΊ: готовая, полуготовая, ΠΈΠ³Ρ€Π°-ΠΌΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π». Π’Π°ΠΆΠ½ΠΎ ΠΊΠΎΠΌΠ±ΠΈΠ½ΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒ ΠΈΠ³Ρ€ΡƒΡˆΠΊΠΈ. ПСдагог Π½Π΅ ΠΌΠΎΠΆΠ΅Ρ‚ Π½Π΅ ΠΈΠ³Ρ€Π°Ρ‚ΡŒ, Π½Π΅ ΠΌΠΎΠΆΠ΅Ρ‚ Π±Ρ‹Ρ‚ΡŒ ΠΏΠ΅Π΄Π°Π³ΠΎΠ³Π°, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹ΠΉ Π½Π΅ ΡƒΠΌΠ΅Π» Π±Ρ‹ ΠΈΠ³Ρ€Π°Ρ‚ΡŒThe article discusses the basic tenets of the organization, gaming activities of A. S. Makarenko in relation to modern career guidance game "Professions of the Future": education of the future the doer begins in the game: what is the child in the game, so will he be in the work, it is important: with whom he plays and what he plays with, the toy is then good when the child is not plays and acts. types of toys: ready, semi-ready, game material. It is important to combine toys. teacher can not play

    Analysis of mortality at non-Hodgkin lymphomas in the unit of cancer chemotherapy of Irkutsk Regional Oncologic Dispensary in 2011-2013

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    We analyzed 29 fatal cases caused by non-Hodgkin lymphomas in the hospital. 89 % of deceased had advanced malignancy, morphologically aggressive type, 86,2 % had initially unfavorable prognosis for a disease. The most common cause of death was sepsis (55 %). The most often source of infection were pneumonia (68,8 %) and gastrointestinal tract (31,3 %). The frequency of decompensated hemorrhagic shock of patients died of non-Hodgkin lymphomas was 24 %. Tumor lysis syndrome was the cause of hospital mortality of non-Hodgkin lymphomas in 17 % of cases

    Control of microimpurities emitted from polymer construction materials based on polyvinyl chloride

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    The aim of this article is to improve the degree control of microimpurities emitted from polymeric construction materials into the environment. It is proposed to do this through the modification of the physicochemical nature of the original (source) sorbent and, as a consequence, the improvement of the sorption capacity and the extraction ratio of highly volatile toxic substances. The proposed concentrator columns can be widely used in the analysis of microimpurities of polar organic substances released into the environment from polymeric construction materials based on polyvinyl chloride

    Control of microimpurities emitted from polymer construction materials based on polyvinyl chloride

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    The aim of this article is to improve the degree control of microimpurities emitted from polymeric construction materials into the environment. It is proposed to do this through the modification of the physicochemical nature of the original (source) sorbent and, as a consequence, the improvement of the sorption capacity and the extraction ratio of highly volatile toxic substances. The proposed concentrator columns can be widely used in the analysis of microimpurities of polar organic substances released into the environment from polymeric construction materials based on polyvinyl chloride

    Flexible piezoresistive sensor matrix based on a carbon nanotube PDMS composite for dynamic pressure distribution measurement

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    A highly flexible, piezoresistive sensor matrix based on a carbon nanotube (CNT) polymer composite is developed for pressure distribution measurement applications. With an overall height of about 400&thinsp;Β΅m, the sensors can measure pressure directly, without any deformation elements, such as a cantilever or a deformation membrane. The measurement range is from 2.5 to 640&thinsp;kPa. Both the position and the pressure of the applied load can be measured and visualized as a resistance change. The relative resistance measurement deviation of the data acquisition system is lower than 3&thinsp;% for the resistance range of 610Ξ© to 380&thinsp;kΞ©. This corresponds to a systematic deviation of pressure measurement of less than 3&thinsp;% in the measurement range. Besides the measurement of pressure, different sizes of loads can be detected as well. The developed fast and compact measurement system allows dynamic pressure measurement, such as gait analysis when used in an insole application.</p

    Challenging vertical turbulence mixing schemes in a tidally energetic environment: 1. 3‐D shelf‐sea model assessment

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    Mixing in the ocean and shelf seas is critical for the vertical distribution of dynamically active properties, such as density and biogeochemical tracers. Eight different decadal simulations are used to assess the skill of vertical turbulent mixing schemes (TMS) in a 3‐D regional model of tidally active shelf seas. The TMS differ in the type of stability functions used and in the Ozmidov/Deardorff/Galperin limiter of the turbulence length scales. We review the dependence of the critical Richardson and Prandtl numbers to define the β€œdiffusiveness” of the TMS. The skill in representing bias and variability of stratification profiles is assessed with five different metrics: surface and bottom temperatures and pycnocline depth, thickness, and strength. The assessment is made against hydrography from three data sets (28,000 profiles in total). Bottom and surface temperatures are found to be as sensitive to TMS choice as to horizontal resolution or heat flux formulation, as reported in other studies. All TMS underrepresent the pycnocline depth and benthic temperatures. This suggests physical processes are missing from the model, and these are discussed. Different TMSs show the best results for different metrics, and there is no outright winner. Simulations coupled with an ecosystem model show the choice of TMS strongly affects the ecosystem behavior: shifting the timing of peak chlorophyll by 1 month, showing regional chlorophyll differences of order 100%, and redistributing the production of chorophyll between the pycnocline and mixed layer

    Π Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠ° ΠΎΠΏΡ‚ΠΈΠΌΠ°Π»ΡŒΠ½Ρ‹Ρ… условий Π½Π°Π½ΠΎΡ„ΠΈΠ»ΡŒΡ‚Ρ€Π°Ρ†ΠΈΠΈ Π² Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ производства ΠΈΠΌΠΌΡƒΠ½ΠΎΠ³Π»ΠΎΠ±ΡƒΠ»ΠΈΠ½Π° G Ρ‡Π΅Π»ΠΎΠ²Π΅ΠΊΠ° Π½ΠΎΡ€ΠΌΠ°Π»ΡŒΠ½ΠΎΠ³ΠΎ для Π²Π½ΡƒΡ‚Ρ€ΠΈΠ²Π΅Π½Π½ΠΎΠ³ΠΎ ввСдСния

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    Scientific relevance. Medicinal products based on immunoglobulin class G (IgG) from human plasma are widely used in clinical practice to treat bacterial and viral infections, primary and secondary immunodeficiencies, and autoimmune diseases. Nanofiltration is a way to mitigate the risk of in-process contamination of raw materials with various pathogens, including viruses. Therefore, it is relevant to investigate the development and implementation of additional viral inactivation and/or elimination steps.Aim. This study aimed to develop and validate optimum nanofiltration conditions and to scale up the nanofiltration step for the manufacturing of human IgG for intravenous administration.Materials and methods. The study used a solution ofΒ  IgG Β fromΒ  plasmaΒ  fractionsΒ  IIΒ  andΒ  III. The authors paired nanofilters manufactured by Planova 20N and BioEx (Asahi Kasei, Japan), Viresolve Pro (Merck Millipore, USA), Virosart HC and HF (Sartorius, Germany), and PegasusΒ  SV4 and Prime (Pall, USA) with Sartopore polyethersulphone prefilters by Sartorius (Germany), Virosart MAX polyamide prefilters by Sartorius (Germany), and EKX-P regenerated cellulose prefilters by Pall (Germany). Virus reduction validation studies were performed with model viruses (human immunodeficiency virus type 1, porcine transmissible gastroenteritis virus, porcine parvovirus, murine encephalomyocarditis virus, and bovine viral diarrhoea virus) in the laboratories of the N.F. Gamaleya centre. The sample data analysis involved calculating mean values with 95% confidence intervals.Results. For all the selected combinations of prefilters and filters, the maximum nanofiltration throughput depended on the IgG concentration in the test solution. With the combination of an EKX-P filter with a Pegasus SV4 nanofilter, the maximum throughput and the IgG yield reached 6300 g/m2 and 95%, respectively. When combined with a Planova 20N nanofilter, EKX-P and Sartopore (polyethersulphone) filters provided a maximum throughput of up to 2980 g/m2 and an IgG yield of almost 100%, provided that the test solution had an IgG concentration of 10 g/L. With different filter combinations, virus reduction levels ranged from 4.00Β±0.05 to 4.75Β±0.04 log10Β  for human immunodeficiency virus type 1, from 4.30Β±0.04 to 4.55Β±0.06 log10 for porcine transmissible gastroenteritis virus, from 5.38Β±0.08 log10Β  to 5.57Β±0.04 log10Β  for murine encephalomyocarditis virus, 5.12Β±0.10 log10 to 5.25Β±0.08 log10 for porcine parvovirus, and exceeded 5.00 log10 for bovine viral diarrhoea virus. The virus reduction levels achieved were not statistically associated with prefilter brands.Conclusions. The study demonstrated that nanofiltration was effective at removingΒ  viruses with various virion sizes and physicochemical characteristics, including viruses as small as parvovirus B19. The levels of virus reduction exceeded 4 log10 and met the acceptance criteria.The laboratory-scale nanofiltration parameters and the corresponding filtration times, as well as IgG yields, did not change when the process was scaled up. Therefore, nanofiltration is an effective and productive technique that helps eliminate various types of viruses and considerably improve viral safety without affecting the quality of biological medicinal products.ΠΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ. ЛСкарствСнныС ΠΏΡ€Π΅ΠΏΠ°Ρ€Π°Ρ‚Ρ‹ Π½Π° основС ΠΈΠΌΠΌΡƒΠ½ΠΎΠ³Π»ΠΎΠ±ΡƒΠ»ΠΈΠ½Π° G (IgG) ΠΈΠ· ΠΏΠ»Π°Π·ΠΌΡ‹ ΠΊΡ€ΠΎΠ²ΠΈ Ρ‡Π΅Π»ΠΎΠ²Π΅ΠΊΠ° ΡˆΠΈΡ€ΠΎΠΊΠΎ ΠΏΡ€ΠΈΠΌΠ΅Π½ΡΡŽΡ‚ΡΡ Π² Ρ‚Π΅Ρ€Π°ΠΏΠΈΠΈ Π±Π°ΠΊΡ‚Π΅Ρ€ΠΈΠ°Π»ΡŒΠ½Ρ‹Ρ… ΠΈ вирусных ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΉ, ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½Ρ‹Ρ… ΠΈ Π²Ρ‚ΠΎΡ€ΠΈΡ‡Π½Ρ‹Ρ… ΠΈΠΌΠΌΡƒΠ½ΠΎΠ΄Π΅Ρ„ΠΈΡ†ΠΈΡ‚ΠΎΠ², Π°ΡƒΡ‚ΠΎΠΈΠΌΠΌΡƒΠ½Π½Ρ‹Ρ… Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ. Π‘Π½ΠΈΠ·ΠΈΡ‚ΡŒ риск производствСнной ΠΊΠΎΠ½Ρ‚Π°ΠΌΠΈΠ½Π°Ρ†ΠΈΠΈ ΡΡ‹Ρ€ΡŒΡ Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹ΠΌΠΈ ΠΏΠ°Ρ‚ΠΎΠ³Π΅Π½Π°ΠΌΠΈ, Π² Ρ‚ΠΎΠΌ числС вирусами, позволяСт процСсс Π½Π°Π½ΠΎΡ„ΠΈΠ»ΡŒΡ‚Ρ€Π°Ρ†ΠΈΠΈ. Для ΠΏΠΎΠ²Ρ‹ΡˆΠ΅Π½ΠΈΡ вирусной бСзопасности Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΡ‹ исслСдования ΠΏΠΎ Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠ΅ ΠΈ Π²Π½Π΅Π΄Ρ€Π΅Π½ΠΈΡŽ Π΄ΠΎΠΏΠΎΠ»Π½ΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹Ρ… этапов ΠΈΠ½Π°ΠΊΡ‚ΠΈΠ²Π°Ρ†ΠΈΠΈ ΠΈ (ΠΈΠ»ΠΈ) элиминации вирусов.ЦСль. Π Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠ° ΠΎΠΏΡ‚ΠΈΠΌΠ°Π»ΡŒΠ½Ρ‹Ρ… условий процСсса Π½Π°Π½ΠΎΡ„ΠΈΠ»ΡŒΡ‚Ρ€Π°Ρ†ΠΈΠΈ, валидация ΠΈ ΠΌΠ°ΡΡˆΡ‚Π°Π±ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ Π΄Π°Π½Π½ΠΎΠΉ стадии для  производства  лСкарствСнного  ΠΏΡ€Π΅ΠΏΠ°Ρ€Π°Ρ‚Π°Β  ΠΈΠΌΠΌΡƒΠ½ΠΎΠ³Π»ΠΎΠ±ΡƒΠ»ΠΈΠ½Π° G Ρ‡Π΅Π»ΠΎΠ²Π΅ΠΊΠ° для Π²Π½ΡƒΡ‚Ρ€ΠΈΠ²Π΅Π½Π½ΠΎΠ³ΠΎ ввСдСния.ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Ρ‹ ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹. Раствор IgG ΠΈΠ· Ρ„Ρ€Π°ΠΊΡ†ΠΈΠΈ II+III ΠΏΠ»Π°Π·ΠΌΡ‹ ΠΊΡ€ΠΎΠ²ΠΈ, Π½Π°Π½ΠΎΡ„ΠΈΠ»ΡŒΡ‚Ρ€Ρ‹ Planova β€” 20N ΠΈ BioEx (Asahi Kasei, Япония), Viresolve Pro (Merck Millipore, БША), Virosart β€” HC ΠΈ HF (Sartorius, ГСрмания), Pegasus β€” SV4 ΠΈ Prime (Pall, БША), ΠΏΡ€Π΅Π΄Ρ„ΠΈΠ»ΡŒΡ‚Ρ€Ρ‹ Sartopore ΠΈΠ· ΠΏΠΎΠ»ΠΈΡΡ„ΠΈΡ€ΡΡƒΠ»ΡŒΡ„ΠΎΠ½Π°, Virosart MAX (Sartorius,Β  ГСрмания)Β  ΠΈΠ·Β  ΠΏΠΎΠ»ΠΈΠ°ΠΌΠΈΠ΄Π°,Β  EKX-PΒ  (Pall,Β  ГСрмания) ΠΈΠ· Ρ€Π΅Π³Π΅Π½Π΅Ρ€ΠΈΡ€ΠΎΠ²Π°Π½Π½ΠΎΠΉ Ρ†Π΅Π»Π»ΡŽΠ»ΠΎΠ·Ρ‹. Π›Π°Π±ΠΎΡ€Π°Ρ‚ΠΎΡ€Π½Ρ‹Π΅ исслСдования ΠΏΠΎ Π²Π°Π»ΠΈΠ΄Π°Ρ†ΠΈΠΈ вирусной Ρ€Π΅Π΄ΡƒΠΊΡ†ΠΈΠΈ выполняли с ΠΌΠΎΠ΄Π΅Π»ΡŒΠ½Ρ‹ΠΌΠΈ тСст-вирусами (Π’Π˜Π§-1, трансмиссивного гастроэнтСрита (коронавируса) свинСй, парвовирус свинСй,Β  вирус  энцСфаломиокардита  ΠΌΡ‹ΡˆΠ΅ΠΉ,Β  вирус Π±Ρ‹Ρ‡ΡŒΠ΅ΠΉ Π΄ΠΈΠ°Ρ€Π΅ΠΈ) Π½Π° Π±Π°Π·Π΅ Π€Π“Π‘Π£ «НИЦЭМ ΠΈΠΌ. Н.Π€. Π“Π°ΠΌΠ°Π»Π΅ΠΈΒ» ΠœΠΈΠ½Π·Π΄Ρ€Π°Π²Π° России. Анализ Π΄Π°Π½Π½Ρ‹Ρ… ΠΏΠΎ Π²Ρ‹Π±ΠΎΡ€ΠΊΠ΅ ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΈ с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ срСднСго значСния ΠΏΡ€ΠΈ 95% Π΄ΠΎΠ²Π΅Ρ€ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠΌ ΠΈΠ½Ρ‚Π΅Ρ€Π²Π°Π»Π΅.Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. УстановлСно, Ρ‡Ρ‚ΠΎ ΠΏΡ€ΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ Π½Π°Π½ΠΎΡ„ΠΈΠ»ΡŒΡ‚Ρ€Π°Ρ†ΠΈΠΈ для всСх Π²Ρ‹Π±Ρ€Π°Π½Π½Ρ‹Ρ… ΠΊΠΎΠΌΠ±ΠΈΠ½Π°Ρ†ΠΈΠΉ Β«ΠΏΡ€Π΅Π΄Ρ„ΠΈΠ»ΡŒΡ‚Ρ€ β€” Π½Π°Π½ΠΎΡ„ΠΈΠ»ΡŒΡ‚Ρ€Β» зависит ΠΎΡ‚ ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΠΈ IgG Π² испытуСмом растворС. Максимальная пропускная ΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡ‚ΡŒ ΠΈ Π²Ρ‹Ρ…ΠΎΠ΄ ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚Π° составили:Β  ΠΏΡ€Π΅Π΄Ρ„ΠΈΠ»ΡŒΡ‚Ρ€ (Ρ„ΠΈΠ»ΡŒΡ‚Ρ€) Π•ΠšΠ₯-P с Π½Π°Π½ΠΎΡ„ΠΈΠ»ΡŒΡ‚Ρ€ΠΎΠΌ Pegasus SV4 β€”Β  6300Β  Π³/ΠΌ2Β  (Π²Ρ‹Ρ…ΠΎΠ΄Β  IgGΒ  Π±ΠΎΠ»Π΅Π΅Β  95%); EKX-P ΠΈΠ»ΠΈ Sartopore (ΠΏΠΎΠ»ΠΈΡΡ„ΠΈΡ€ΡΡƒΠ»ΡŒΡ„ΠΎΠ½) с Planova 20N β€” Π΄ΠΎ 2980 Π³/ΠΌ2 (Π²Ρ‹Ρ…ΠΎΠ΄ IgG β€” практичСски 100% ΠΏΡ€ΠΈ условии провСдСния  процСсса  Ρ‚ΠΎΠ»ΡŒΠΊΠΎΒ  ΠΏΡ€ΠΈΒ  ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΠΈΒ  IgGΒ  10Β  Π³/Π»).Β  Для Ρ€Π°Π·Π½Ρ‹Ρ… ΠΊΠΎΠΌΠ±ΠΈΠ½Π°Ρ†ΠΈΠΉ Ρ„ΠΈΠ»ΡŒΡ‚Ρ€ΠΎΠ² ΡƒΡ€ΠΎΠ²Π΅Π½ΡŒ Ρ€Π΅Π΄ΡƒΠΊΡ†ΠΈΠΈ соотвСтствовал критСриям приСмлСмости: Π’Π˜Π§-1 β€”Β  ΠΎΡ‚Β  4,00Β±0,05Β  Π΄ΠΎΒ  4,75Β±0,04Β  log10;Β  коронавирус  свинСй  β€”Β  ΠΎΡ‚Β  4,30Β±0,04 Π΄ΠΎ 4,55Β±0,06 log10; вирус энцСфаломиокардита ΠΌΡ‹ΡˆΠ΅ΠΉ β€” ΠΎΡ‚ 5,38Β±0,08 Π΄ΠΎ 5,57Β±0,04 log10; вирус Π±Ρ‹Ρ‡ΡŒΠ΅ΠΉ Π΄ΠΈΠ°Ρ€Π΅ΠΈ β€” Π±ΠΎΠ»Π΅Π΅ 5,00 log10; парвовирус свинСй β€” ΠΎΡ‚ 5,12Β±0,10 Π΄ΠΎ 5,25Β±0,08 log10. БтатистичСски достовСрного различия Π² зависимости уровня Ρ€Π΅Π΄ΡƒΠΊΡ†ΠΈΠΈ ΠΎΡ‚ ΠΌΠ°Ρ€ΠΊΠΈ ΠΏΡ€Π΅Π΄Ρ„ΠΈΠ»ΡŒΡ‚Ρ€ΠΎΠ² Π½Π΅ выявили.Π’Ρ‹Π²ΠΎΠ΄Ρ‹. ΠŸΠΎΠ΄Ρ‚Π²Π΅Ρ€ΠΆΠ΄Π΅Π½Π° ΡΡ„Ρ„Π΅ΠΊΡ‚ΠΈΠ²Π½ΠΎΡΡ‚ΡŒ противовирусной Π½Π°Π½ΠΎΡ„ΠΈΠ»ΡŒΡ‚Ρ€Π°Ρ†ΠΈΠΈ для вирусов  с Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹ΠΌΠΈ Ρ€Π°Π·ΠΌΠ΅Ρ€Π°ΠΌΠΈ Π²ΠΈΡ€ΠΈΠΎΠ½Π° ΠΈ Ρ„ΠΈΠ·ΠΈΠΊΠΎ-химичСскими характСристиками, Π²ΠΊΠ»ΡŽΡ‡Π°Ρ ΠΌΠ΅Π»ΠΊΠΈΠΉ парвовирус Π’19: ΡƒΡ€ΠΎΠ²Π΅Π½ΡŒ Ρ€Π΅Π΄ΡƒΠΊΡ†ΠΈΠΈ вирусов для всСх ΠΊΠΎΠΌΠ±ΠΈΠ½Π°Ρ†ΠΈΠΉ составил Π±ΠΎΠ»Π΅Π΅ 4 log10, Ρ‡Ρ‚ΠΎ соотвСтствуСт критСриям приСмлСмости. Π Π°Π·Ρ€Π°Π±ΠΎΡ‚Π°Π½Π½Ρ‹Π΅ Π² Π»Π°Π±ΠΎΡ€Π°Ρ‚ΠΎΡ€Π½Ρ‹Ρ… условиях ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€Ρ‹ ΠΈ ΡΠΎΠΎΡ‚Π²Π΅Ρ‚ΡΡ‚Π²ΡƒΡŽΡ‰Π°Ρ ΠΈΠΌ Π΄Π»ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ Π½Π°Π½ΠΎΡ„ΠΈΠ»ΡŒΡ‚Ρ€Π°Ρ†ΠΈΠΈ, Π° Ρ‚Π°ΠΊΠΆΠ΅ Π²Ρ‹Ρ…ΠΎΠ΄ Ρ†Π΅Π»Π΅Π²ΠΎΠ³ΠΎ ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚Π° для всСх ΠΊΠΎΠΌΠ±ΠΈΠ½Π°Ρ†ΠΈΠΉ исслСдованных Ρ„ΠΈΠ»ΡŒΡ‚Ρ€ΠΎΠ² Π½Π΅ измСнились ΠΏΡ€ΠΈ ΠΌΠ°ΡΡˆΡ‚Π°Π±ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠΈ. ΠΠ°Π½ΠΎΡ„ΠΈΠ»ΡŒΡ‚Ρ€Π°Ρ†ΠΈΡ ΠΌΠΎΠΆΠ΅Ρ‚ ΡΠ»ΡƒΠΆΠΈΡ‚ΡŒ эффСктивным ΠΈ высокопродуктивным инструмСнтом удалСния Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Ρ… Ρ‚ΠΈΠΏΠΎΠ² вирусов, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹ΠΉ Π½Π΅ влияСт Π½Π° качСство ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚Π° ΠΈ Π·Π½Π°Ρ‡ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎ ΠΏΠΎΠ²Ρ‹ΡˆΠ°Π΅Ρ‚ Π²ΠΈΡ€ΡƒΡΠ½ΡƒΡŽ Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΡΡ‚ΡŒ биологичСских ΠΏΡ€Π΅ΠΏΠ°Ρ€Π°Ρ‚ΠΎΠ²

    Clinical, hormonal and molecular-genetic characteristics of monogenic diabetes mellitus associated with the mutations in the <i>INS</i> gene

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    Background: Currently more than 50 mutations of the INS gene are known to affect the various stages of insulin biosynthesis in the beta cells of the pancreas. However only individual cases of diabetes mellitus (DM) associated with heterozygous mutations in the coding region of the INS gene were reported in Russian Federation. We report a group of patients with a clinical manifestation of DM caused by mutations in both coding and non-coding regions of the INS gene. The patients with a mutation in the intron of the INS gene are reported for the first time in Russian FederationMaterials and methods: 60 patients with an isolated course of neonatal DM (NDM), 52 patients with a manifestation of DM at the age of 7–12 months and the absence of the main autoimmune markers of type 1 DM, 650 patients with the MODY phenotype were included in the study. NGS technology was used for molecular genetic research. Author’s panel of primers (Custom DNA Panel) was used for multiplex PCR and sequencing using Ion Ampliseqβ„’ technology. The author’s panel β€œΒ­Diabetes Mellitus” included 28 genes (13 candidate genes of MODY and other genes associated with DM).Results: 13 heterozygous mutations were identified in 16 probands and 9 relatives. The majority of mutations were detected in patients with PNDM (18.75%) and in patients with an onset of DM at the age of 7–12 months (9.6%). Mutations in the INS gene were detected in 2 patients (0.3%) in the group with the MODY phenotype. Mutations in the INS gene were not detected in patients with transient NDM (TNDM). Analysis of clinical data in patients with PND and onset of diabetes at the age of 7–12 months did not show significant differences in the course of the disease. The clinical characteristics of the cases of MODY10 and diabetes caused by a mutation in the intron of the INS gene are reported in details.Conclusion: The role of INS gene mutations in NDM, MODY, and DM with an onset at the age of 7–12 months was analyzed in a large group of patients. The clinical characteristics of DM due to a mutation in the intron of the INS gene are reported for the first time in the Russian Federation

    Spermatozoal sensitive biomarkers to defective protaminosis and fragmented DNA

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    Human sperm DNA damage may have adverse effects on reproductive outcome. Infertile men possess substantially more spermatozoa with damaged DNA compared to fertile donors. Although the extent of this abnormality is closely related to sperm function, the underlying etiology of ensuing male infertility is still largely controversial. Both intra-testicular and post-testicular events have been postulated and different mechanisms have been proposed to explain the presence of damaged DNA in human spermatozoa. Three among them, i.e. abnormal chromatin packaging, oxidative stress and apoptosis, are the most studied and discussed in the present review. Furthermore, results from numerous investigations are presented, including our own findings on these pathological conditions, as well as the techniques applied for their evaluation. The crucial points of each methodology on the successful detection of DNA damage and their validity on the appraisal of infertile patients are also discussed. Along with the conventional parameters examined in the standard semen analysis, evaluation of damaged sperm DNA seems to complement the investigation of factors affecting male fertility and may prove an efficient diagnostic tool in the prediction of pregnancy outcome
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