SETTING UP A DIGITAL LEARNING ENVIRONMENT IN A PEDAGOGICAL UNIVERSITY

This article is aimed at discovering the development particularities of the digital Russian university management system in Russia in the context of universal digitalisation, and identifying the opportunities for the development of university digital learning environment elements. The leading research method of the issue is a comparative analysis of the level of digital competences of students of professional education in Russia and the European Union member states. The authors of the article discovered the particularities of modern education transformational processes, revealed the main role of the development of information and communication technologies, determined the place of Russia in the world learning space and analysed the dynamics of the position of Russian higher educational institutions in the world university rating.Este artículo tiene como objetivo descubrir las particularidades de desarrollo del sistema digital de gestión de la universidad rusa en Rusia en el contexto de la digitalización universal, e identificar las oportunidades para el desarrollo de elementos del entorno de aprendizaje digital universitario. El principal método de investigación del tema es un análisis comparativo del nivel de competencias digitales de los estudiantes de educación profesional en Rusia y los estados miembros de la Unión Europea. Los autores del artículo descubrieron las particularidades de los procesos de transformación de la educación moderna, revelaron el papel principal del desarrollo de las tecnologías de información y comunicación, determinaron el lugar de Rusia en el espacio de aprendizaje mundial y analizaron la dinámica de la posición de las instituciones de educación superior rusas en La calificación de la universidad mundial.Este artigo tem como objetivo descobrir as particularidades de desenvolvimento do sistema de gerenciamento de universidades digitais da Rússia na Rússia no contexto da digitalização universal e identificar as oportunidades para o desenvolvimento de elementos do ambiente de aprendizado digital das universidades. O principal método de pesquisa da questão é uma análise comparativa do nível de competências digitais de estudantes de educação profissional na Rússia e nos estados membros da União Europeia. Os autores do artigo descobriram as particularidades dos processos transformacionais da educação moderna, revelaram o papel principal do desenvolvimento das tecnologias da informação e da comunicação, determinaram o lugar da Rússia no espaço de aprendizado mundial e analisaram a dinâmica da posição das instituições de ensino superior russas no país. a classificação mundial da universidade

The Zero Emissions Commitment Model Intercomparison Project (ZECMIP) contribution to C4MIP: Quantifying committed climate changes following zero carbon emissions

The amount of additional future temperature change following a complete cessation of CO2 emissions is a measure of the unrealized warming to which we are committed due to CO2 already emitted to the atmosphere. This “zero emissions commitment” (ZEC) is also an important quantity when estimating the remaining carbon budget – a limit on the total amount of CO2 emissions consistent with limiting global mean temperature at a particular level. In the recent IPCC Special Report on Global Warming of 1.5 ∘C, the carbon budget framework used to calculate the remaining carbon budget for 1.5 ∘C included the assumption that the ZEC due to CO2 emissions is negligible and close to zero. Previous research has shown significant uncertainty even in the sign of the ZEC. To close this knowledge gap, we propose the Zero Emissions Commitment Model Intercomparison Project (ZECMIP), which will quantify the amount of unrealized temperature change that occurs after CO2 emissions cease and investigate the geophysical drivers behind this climate response. Quantitative information on ZEC is a key gap in our knowledge, and one that will not be addressed by currently planned CMIP6 simulations, yet it is crucial for verifying whether carbon budgets need to be adjusted to account for any unrealized temperature change resulting from past CO2 emissions. We request only one top-priority simulation from comprehensive general circulation Earth system models (ESMs) and Earth system models of intermediate complexity (EMICs) – a branch from the 1 % CO2 run with CO2 emissions set to zero at the point of 1000 PgC of total CO2 emissions in the simulation – with the possibility for additional simulations, if resources allow. ZECMIP is part of CMIP6, under joint sponsorship by C4MIP and CDRMIP, with associated experiment names to enable data submissions to the Earth System Grid Federation. All data will be published and made freely available

Поражение органов дыхания при болезни Крона. Клинический случай

Introduction. Crohn’s disease is a recurrent inflammatory disease that can affect any part of the gastrointestinal tract with transmural manifestations. Extraintestinal manifestations occur in 21–47% of all cases. Radiology techniques play a significant role in diagnosis, assessment and observation by means of computed tomography and magnetic resonance imaging.Materials and methods. Clinical data, laboratory and instrumental studies, surgical procedures done in the children’s hospital were collected and analyzed during the study.Results. A 4-year-old girl was urgently presented to the hospital with non-productive cough and tachypnea that had lasted for two days. Inhalation therapy with Berodual® and Pulmicort® was initiated with a minor effect. Chest multidetector computed tomography (MDCT) showed signs of larynx edema, regular bilateral infiltrates with a volume decrease of the lung on the right side, left-sided tension pneumothorax. It was known that Crohn’s disease had been diagnosed in 7 months. The condition of the child was assessed as a serious case of Crohn’s disease. The condition of patient became stable after 7 days of treatment. The child has been observed by a gastroenterologist and a pulmonologist later.Conclusion. It is highly recommended to take into account the possibility of respiratory system involvement in patients with diagnosed inflammatory bowel diseases. A thorough anamnestic data research and multidisciplinary approach while evaluating the results of the chest MDCT would help clinicians to optimize clinical management at the early stage of the disease and prevent the development of possible complications.Введение. Болезнь Крона — это рецидивирующее воспалительное заболевание, которое может поражать любой отдел желудочно-кишечного тракта с трансмуральными проявлениями. Внекишечные проявления возникают в 21–47% всех случаев. Методы лучевой диагностики играют значительную роль в постановке диагноза, описании и наблюдении, благодаря компьютерной и магнитно-резонансной томографии.Цели и задачи. Представить клинический случай диагностики поражения органов дыхания при болезни Крона у ребенка 4 лет.Материалы и  методы. Проведен анализ клинических данных, лабораторно-инструментальных исследований, операций, выполненных в стационаре детской городской больницы.Результаты. Девочка, 4 года, поступила экстренно, с жалобами на непродуктивный кашель и частое дыхание в течение двух дней. Проводились ингаляции с  беродуалом, пульмикортом с  незначительным эффектом. При выполнении многосрезовой компьютерной томографии (МСКТ) органов грудной клетки и шеи выявлены признаки отека гортани, полисегментарных двусторонних инфильтративных изменений с уменьшением объема справа, левосторонний напряженный пневмоторакс. В анамнезе у ребенка болезнь Крона диагностирована в 7 месяцев. Состояние ребенка расценивалось как тяжелое течение болезни Крона. Спустя 7 дней на фоне проводимой терапии отмечалась положительная динамика. В дальнейшем девочка наблюдается детским гастроэнтерологом и пульмонологом.Заключение. Рекомендуется помнить о возможном вовлечении органов дыхания при установленных воспалительных заболеваниях кишечника. Тщательный сбор анамнеза и мультидисциплинарный подход при оценке результатов МСКТ позволит клиницистам своевременно назначить лечение на раннем этапе заболевания и возможно предупредить развитие осложнений впоследствии

Assessment of the course of the gestational process using survey method and depending on the laboratory confirmed prenatal alcohol use (cross-section study)

Background. Studying the problem of alcohol consumption by pregnant women using modern laboratory research methods has valuable theoretical and practical significance. The aim of the study. To determine the characteristics of the pregnancy course in women consuming alcohol in the prenatal period confirmed by survey and laboratory tests, depending on the phosphatidylethanol levels. Materials and methods. We examined 863 women under observation at the Irkutsk Regional Perinatal Center for the period from 2014 to 2021. To confirm the fact of alcohol consumption in the prenatal period, 545 women were surveyed, 318  women were examined using laboratory analysis. The diagnostic biomarker for  alcohol was  PEth:16:0/18:1. To assign pregnant women to  the control group, a PEth concentration of ≤ 8 ng/ml was taken. If the PEth concentration was > 8 ng/ml, pregnant women were classified as heavy drinkers. Clinical and laboratory indicators of the course of pregnancy and childbirth were carried out in comparative groups. Results. It has been established that every second woman of reproductive age took alcohol before pregnancy. 24.2 % of women did not stop consuming alcohol in  the  prenatal period. At the same time, the risk of congenital malformations was high, since 20.4 % of women consumed alcohol in the first trimester of pregnancy. Based on the results of the survey, it was revealed that in women who consumed alcohol in the prenatal period, the following pathological conditions are statistically significantly more common: anemia, congenital heart defects in fetuses, prematurity of gestational age, labor anomalies, uterus subinvolution. Based on the results of laboratory confirmation of alcohol consumption, it was established that parity of birth, intrauterine growth retardation, and  premature birth were statistically significantly more often in pregnant women who drink. Conclusion. Thus, in order to obtain the most meaningful and high-quality results, it is necessary to  conduct larger studies. In addition, maternal blood biomarkers should be used to confirm levels of alcohol consumption throughout all trimesters of pregnancy

Prediction of Occupational Fluorosis in Aluminum Production Workers in View of Comorbidities

Introduction: Modern research on occupational medicine has shown that general diseases contribute the most to health deterioration in workers of hazardous industries and significantly affect the timing of the onset of occupational diseases. Objective: To assess the impact of comorbid disorders on the probability of occupational fluoride toxicity in aluminum production workers. Materials and methods: The paper describes existing international scales used to assess comorbid disorders and emphasizes the relevance of publications on the comorbidity of workers of hazardous and harmful industries. The comorbidity index was calculated for each of 201 aluminum production workers. Comorbidity index calculations, health indicators, and parameters of working conditions were entered in the electronic database. The article presents a method for determining the probability of occupational disease development using a logistic regression. Results: A prognostic model was built using a logistic regression and comorbidity indices to determine the influence of human body systems on the probability of developing occupational fluoride poisoning (fluorosis). Conclusion: Using the logistic regression, we have determined combinations of comorbidity indices having a strongest effect on the probability of fluoride poisoning for prediction and implementation of appropriate preventive measures. To reduce the likelihood of occupational diseases, it is necessary to treat comorbid disorders in workers of harmful industries. © 2023, Federal Center for Hygiene and Epidemiology. All rights reserved

The need for carbon-emissions-driven climate projections in CMIP7

Previous phases of the Coupled Model Intercomparison Project (CMIP) have primarily focused on simulations driven by atmospheric concentrations of greenhouse gases (GHGs), for both idealized model experiments and climate projections of different emissions scenarios. We argue that although this approach was practical to allow parallel development of Earth system model simulations and detailed socioeconomic futures, carbon cycle uncertainty as represented by diverse, process-resolving Earth system models (ESMs) is not manifested in the scenario outcomes, thus omitting a dominant source of uncertainty in meeting the Paris Agreement. Mitigation policy is defined in terms of human activity (including emissions), with strategies varying in their timing of net-zero emissions, the balance of mitigation effort between short-lived and long-lived climate forcers, their reliance on land use strategy, and the extent and timing of carbon removals. To explore the response to these drivers, ESMs need to explicitly represent complete cycles of major GHGs, including natural processes and anthropogenic influences. Carbon removal and sequestration strategies, which rely on proposed human management of natural systems, are currently calculated in integrated assessment models (IAMs) during scenario development with only the net carbon emissions passed to the ESM. However, proper accounting of the coupled system impacts of and feedback on such interventions requires explicit process representation in ESMs to build self-consistent physical representations of their potential effectiveness and risks under climate change. We propose that CMIP7 efforts prioritize simulations driven by CO2 emissions from fossil fuel use and projected deployment of carbon dioxide removal technologies, as well as land use and management, using the process resolution allowed by state-of-the-art ESMs to resolve carbon–climate feedbacks. Post-CMIP7 ambitions should aim to incorporate modeling of non-CO2 GHGs (in particular, sources and sinks of methane and nitrous oxide) and process-based representation of carbon removal options. These developments will allow three primary benefits: (1) resources to be allocated to policy-relevant climate projections and better real-time information related to the detectability and verification of emissions reductions and their relationship to expected near-term climate impacts, (2) scenario modeling of the range of possible future climate states including Earth system processes and feedbacks that are increasingly well-represented in ESMs, and (3) optimal utilization of the strengths of ESMs in the wider context of climate modeling infrastructure (which includes simple climate models, machine learning approaches and kilometer-scale climate models).</p

The Earth system model CLIMBER-X v1.0 – Part 2: The global carbon cycle

The carbon cycle component of the newly developed Earth system model of intermediate complexity CLIMBER-X is presented. The model represents the cycling of carbon through the atmosphere, vegetation, soils, seawater and marine sediments. Exchanges of carbon with geological reservoirs occur through sediment burial, rock weathering and volcanic degassing. The state-of-the-art HAMOCC6 model is employed to simulate ocean biogeochemistry and marine sediment processes. The land model PALADYN simulates the processes related to vegetation and soil carbon dynamics, including permafrost and peatlands. The dust cycle in the model allows for an interactive determination of the input of the micro-nutrient iron into the ocean. A rock weathering scheme is implemented in the model, with the weathering rate depending on lithology, runoff and soil temperature. CLIMBER-X includes a simple representation of the methane cycle, with explicitly modelled natural emissions from land and the assumption of a constant residence time of CH4 in the atmosphere. Carbon isotopes 13C and 14C are tracked through all model compartments and provide a useful diagnostic for model–data comparison. A comprehensive evaluation of the model performance for the present day and the historical period shows that CLIMBER-X is capable of realistically reproducing the historical evolution of atmospheric CO2 and CH4 but also the spatial distribution of carbon on land and the 3D structure of biogeochemical ocean tracers. The analysis of model performance is complemented by an assessment of carbon cycle feedbacks and model sensitivities compared to state-of-the-art Coupled Model Intercomparison Project Phase 6 (CMIP6) models. Enabling an interactive carbon cycle in CLIMBER-X results in a relatively minor slow-down of model computational performance by ∼ 20 % compared to a throughput of ∼ 10 000 simulation years per day on a single node with 16 CPUs on a high-performance computer in a climate-only model set-up. CLIMBER-X is therefore well suited to investigating the feedbacks between climate and the carbon cycle on temporal scales ranging from decades to &gt;100 000 years.</p

Global Carbon Budget 2018

Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere – the “global carbon budget” – is important to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe data sets and methodology to quantify the five major components of the global carbon budget and their uncertainties. Fossil CO2 emissions (EFF) are based on energy statistics and cement production data, while emissions from land use and land-use change (ELUC), mainly deforestation, are based on land use and land-use change data and bookkeeping models. Atmospheric CO2 concentration is measured directly and its growth rate (GATM) is computed from the annual changes in concentration. The ocean CO2 sink (SOCEAN) and terrestrial CO2 sink (SLAND) are estimated with global process models constrained by observations. The resulting carbon budget imbalance (BIM), the difference between the estimated total emissions and the estimated changes in the atmosphere, ocean, and terrestrial biosphere, is a measure of imperfect data and understanding of the contemporary carbon cycle. All uncertainties are reported as ±1σ. For the last decade available (2008–2017), EFF was 9.4±0.5 GtC yr−1, ELUC 1.5±0.7 GtC yr−1, GATM 4.7±0.02 GtC yr−1, SOCEAN 2.4±0.5 GtC yr−1, and SLAND 3.2±0.8 GtC yr−1, with a budget imbalance BIM of 0.5 GtC yr−1 indicating overestimated emissions and/or underestimated sinks. For the year 2017 alone, the growth in EFF was about 1.6 % and emissions increased to 9.9±0.5 GtC yr−1. Also for 2017, ELUC was 1.4±0.7 GtC yr−1, GATM was 4.6±0.2 GtC yr−1, SOCEAN was 2.5±0.5 GtC yr−1, and SLAND was 3.8±0.8 GtC yr−1, with a BIM of 0.3 GtC. The global atmospheric CO2 concentration reached 405.0±0.1 ppm averaged over 2017. For 2018, preliminary data for the first 6–9 months indicate a renewed growth in EFF of +2.7 % (range of 1.8 % to 3.7 %) based on national emission projections for China, the US, the EU, and India and projections of gross domestic product corrected for recent changes in the carbon intensity of the economy for the rest of the world. The analysis presented here shows that the mean and trend in the five components of the global carbon budget are consistently estimated over the period of 1959–2017, but discrepancies of up to 1 GtC yr−1 persist for the representation of semi-decadal variability in CO2 fluxes. A detailed comparison among individual estimates and the introduction of a broad range of observations show (1) no consensus in the mean and trend in land-use change emissions, (2) a persistent low agreement among the different methods on the magnitude of the land CO2 flux in the northern extra-tropics, and (3) an apparent underestimation of the CO2 variability by ocean models, originating outside the tropics. This living data update documents changes in the methods and data sets used in this new global carbon budget and the progress in understanding the global carbon cycle compared with previous publications of this data set (Le Quéré et al., 2018, 2016, 2015a, b, 2014, 2013). All results presented here can be downloaded from https://doi.org/10.18160/GCP-2018

Connecting the data landscape of long-term ecological studies: The SPI-Birds data hub

The integration and synthesis of the data in different areas of science is drastically slowed and hindered by a lack of standards and networking programmes. Long-term studies of individually marked animals are not an exception. These studies are especially important as instrumental for understanding evolutionary and ecological processes in the wild. Furthermore, their number and global distribution provides a unique opportunity to assess the generality of patterns and to address broad-scale global issues (e.g. climate change). To solve data integration issues and enable a new scale of ecological and evolutionary research based on long-term studies of birds, we have created the SPI-Birds Network and Database (www.spibirds.org)\u2014a large-scale initiative that connects data from, and researchers working on, studies of wild populations of individually recognizable (usually ringed) birds. Within year and a half since the establishment, SPI-Birds has recruited over 120 members, and currently hosts data on almost 1.5 million individual birds collected in 80 populations over 2,000 cumulative years, and counting. SPI-Birds acts as a data hub and a catalogue of studied populations. It prevents data loss, secures easy data finding, use and integration and thus facilitates collaboration and synthesis. We provide community-derived data and meta-data standards and improve data integrity guided by the principles of Findable, Accessible, Interoperable and Reusable (FAIR), and aligned with the existing metadata languages (e.g. ecological meta-data language). The encouraging community involvement stems from SPI-Bird's decentralized approach: research groups retain full control over data use and their way of data management, while SPI-Birds creates tailored pipelines to convert each unique data format into a standard format. We outline the lessons learned, so that other communities (e.g. those working on other taxa) can adapt our successful model. Creating community-specific hubs (such as ours, COMADRE for animal demography, etc.) will aid much-needed large-scale ecological data integration