26 research outputs found

    Estimation of Carbon Stock in Forest Soils of Sakhalin Region

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    Forests play a significant role in the uptake of atmospheric carbon dioxide and carbon sequestration for a long time. In forests, the long-term carbon depositing mainly takes place in two pools: in tree biomass and in soil organic matter that have different sensitivity to the natural and anthropogenic disturbances. Estimation of these pool sizes and ratio is the first step to the assessment of regional forest carbon budget and prognosis of its feedback to the climate change and disturbances. In this study, we estimated carbon stock in forest soils of Sakhalin region using the information system developed to assess a spatially distributed soil organic carbon with the high resolution (1 km2). It was found that soil organic matter of forest ecosystems in the region have accumulated about 1230.9 Mt C that is three folds higher than carbon stock in the tree biomass. Forest litter contributes not more than 10% in the northern forest ecosystems and up to 3–4% in the southern forests. Distribution of total carbon stock (live tree biomass + soil organic matter) between above- and belowground pools indicated that 80.0–82.5% of the carbon is allocated in the soil, and forest litter—the component the most vulnerable to disturbances, accounts not more than 5–6% of this stock

    Continuous copper leaching technology

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    The parameters of the continuous technological process of leaching copper from fine copper waste using nitric acid as an oxidizer are studied. Optimal conditions for a continuous leaching process were established, in which solutions with a mass concentration of copper ions greater than 25 g/dm3 were obtained

    WASTE WATER PURIFICATION FROM ACTIVE DYES

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    Core-shell magnetoactive PHB/gelatin/magnetite composite electrospun scaffolds for biomedical applications

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    Novel hybrid magnetoactive composite scaffolds based on poly(3-hydroxybutyrate) (PHB), gelatin, and magnetite (Fe3O4) were fabricated by electrospinning. The morphology, structure, phase composition, and magnetic properties of composite scaffolds were studied. Fabrication procedures of PHB/gelatin and PHB/gelatin/Fe3O4 scaffolds resulted in the formation of both core-shell and ribbon-shaped structure of the fibers. In case of hybrid PHB/gelatin/Fe3O4 scaffolds submicron-sized Fe3O4 particles were observed in the surface layers of the fibers. The X-ray photoelectron spectroscopy results allowed the presence of gelatin on the fiber surface (N/C ratio–0.11) to be revealed. Incubation of the composite scaffolds in saline for 3 h decreased the amount of gelatin on the surface by more than ~75%. The differential scanning calorimetry results obtained for pure PHB scaffolds revealed a characteristic melting peak at 177.5 °C. The presence of gelatin in PHB/gelatin and PHB/gelatin/Fe3O4 scaffolds resulted in the decrease in melting temperature to 168–169 °C in comparison with pure PHB scaffolds due to the core-shell structure of the fibers. Hybrid scaffolds also demonstrated a decrease in crystallinity from 52.3% (PHB) to 16.9% (PHB/gelatin) and 9.2% (PHB/gelatin/Fe3O4). All the prepared scaffolds were non-toxic and saturation magnetization of the composite scaffolds with magnetite was 3.27 ± 0.22 emu/g, which makes them prospective candidates for usage in biomedical applications

    A Modelling System for Dead Wood Assessment in the Forests of Northern Eurasia

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    Dead wood, including coarse woody debris, CWD, and fine woody debris, FWD, plays a substantial role in forest ecosystem functioning. However, the amount and dynamics of dead wood in the forests of Northern Eurasia are poorly understood. The aim of this study was to develop a spatially distributed modelling system (limited to the territories of the former Soviet Union) to assess the amount and structure of dead wood by its components (including snags, logs, stumps, and the dry branches of living trees) based on the most comprehensive database of field measurements to date. The system is intended to be used to assess the dead wood volume and the amount of dead wood in carbon units as part of the carbon budget calculation of forests at different scales. It is presented using multi-dimensional regression equations of dead wood expansion factors (DWEF)—the ratio of the dead wood component volume to the growing stock volume of the stands. The system can be also used for the accounting of dead wood stock and its dynamics in national greenhouse gas inventories and UNFCCC reporting. The system’s accuracy is satisfactory for the average level of disturbance regimes but it may require corrections for regions with accelerated disturbance regimes

    МИТОХОНДРИАЛЬНЫЙ БЕЛКОВЫЙ ПРОФИЛЬ И ЕГО РОЛЬ В ПАТОЛОГИЧЕСКИХ ПРОЦЕССАХ

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    Mitochondria import hundreds of different precursor proteins from the cytosol, and only 13 proteins are encoded by mtDNA itself. Recent investigations demonstrated real size of mitochondrial proteome and complexity of their functions There are many methods using for mitochondrial proteome profiling, that help to understand a molecular mechanisms of mitochondrial functions and identify the causes of disruptions that lead to different disorders. In this review we discuss a recent data in the field of mitochondrial proteomics.Собственная ДНК митохондрий кодирует лишь 13 полипептидов – субъединиц электронтранспортной цепи. Большинство же белков импортируются в митохондрии посредством различных механизмов. Последние исследования митохондриального протеома продемонстрировали истинные размеры и сложную функциональную организацию митохондриальных белковых профилей. Для протеомного профилирования митохондрий применяются различные технологии, которые в сумме представляют результаты, помогающие понять молекулярные механизмы функционирования органелл и выявить нарушения, приводящие к различным заболеваниям. В данном обзоре рассмотрены и проанализированны последние данные в области протеомики митохондрий и затронуты некоторые аспекты молекулярного патогенеза заболеваний дыхательной цепи

    Methodology for generating a global forest management layer

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    The first ever global map of forest management was generated based on remote sensing data. To collect training data, we launched a series of Geo-Wiki (https://www.geo-wiki.org/) campaigns involving forest experts from different world regions, to explore which information related to forest management could be collected by visual interpretation of very high-resolution images from Google Maps and Microsoft Bing, Sentinel time series and normalized difference vegetation index (NDVI) profiles derived from Google Earth Engine. A machine learning technique was then used with the visually interpreted sample (280K locations) as a training dataset to classify PROBA-V satellite imagery. Finally, we obtained a global wall-to-wall map of forest management at a 100m resolution for the year 2015. The map includes classes such as intact forests; forests with signs of management, including logging; planted forests; woody plantations with a rotation period up to 15 years; oil palm plantations; and agroforestry. The map can be used to deliver further information about forest ecosystems, protected and observed forest status changes, biodiversity assessments, and other ecosystem-related aspects

    Global forest management data for 2015 at a 100 m resolution

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    Spatially explicit information on forest management at a global scale is critical for understanding the status of forests, for planning sustainable forest management and restoration, and conservation activities. Here, we produce the first reference data set and a prototype of a globally consistent forest management map with high spatial detail on the most prevalent forest management classes such as intact forests, managed forests with natural regeneration, planted forests, plantation forest (rotation up to 15 years), oil palm plantations, and agroforestry. We developed the reference dataset of 226 K unique locations through a series of expert and crowdsourcing campaigns using Geo-Wiki (https://www.geo-wiki.org/). We then combined the reference samples with time series from PROBA-V satellite imagery to create a global wall-to-wall map of forest management at a 100 m resolution for the year 2015, with forest management class accuracies ranging from 58% to 80%. The reference data set and the map present the status of forest ecosystems and can be used for investigating the value of forests for species, ecosystems and their services

    18F-FLUORODEOXYGLUCOSE POSITRON EMISSION TOMOGRAPHY IN CANCER PATIENTS: A WHOLE-BODY EXAMINATION PROCEDURE

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    Positron emission tomography (PET) is one of the current techniques of molecular radionuclide imaging, which provides a qualitative and quantitative assessment of biochemical processes occurring in a living organism. The paper contains information on how to per- form 18F-fluorodeoxyglucose PET for whole-body examination. It analyzes factors that influence the accuracy of obtained results, methods for PET image analysis, and reasons for possible diagnostic errors
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