6 results on '"[SDV.EE]Life Sciences [q-bio]/Ecology, environment"'
Search Results
2. Некоторые биологические и экологические характеристики Camellia dalatensis (Theaceae) во Вьетнаме
- Author
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Thinh, Bui Bao, Far Eastern Federal University (FEFU), and Far Eastern Federal University
- Subjects
[SDV.EE]Life Sciences [q-bio]/Ecology, environment ,[SDV.EE] Life Sciences [q-bio]/Ecology, environment ,[SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics ,ComputingMilieux_MISCELLANEOUS ,[SDV.BV.BOT] Life Sciences [q-bio]/Vegetal Biology/Botanics - Abstract
International audience
- Published
- 2020
3. Regional Ranking of the Marine Areas for Modeling Environmental Parameters
- Author
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Lemenkova, Polina, Ocean University of China (OUC), and Far East Federal Univ. (DVFU)
- Subjects
[SDV.EE]Life Sciences [q-bio]/Ecology, environment ,[SDE.IE]Environmental Sciences/Environmental Engineering ,Cartograhie ,[SDE.MCG]Environmental Sciences/Global Changes ,Environmental Gradient ,Environmental Exposure ,[SHS.GEO]Humanities and Social Sciences/Geography ,GIS ,[SDE.ES]Environmental Sciences/Environmental and Society ,geospatial analysis ,geography ,Ranking scheme ,Water Eco-environment ,[SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems ,Mapping ,[SHS.ENVIR]Humanities and Social Sciences/Environmental studies ,Environmental Assessment ,[SDE]Environmental Sciences ,ecology ,marine ecosystems ,[SDE.BE]Environmental Sciences/Biodiversity and Ecology ,Ranking of spaces ,environmental monitoring - Abstract
International audience; Current paper discusses suggestions on mapping marine areas for regional ranking and modelling environmental parameters. To perform water areas ranking it is necessary to do spatial analysis based on a set of factual and cartographic data. Physical maps are used as a basis maps for geographical and thematic zoning of the water areas. Furthermore, they are used for the environmental assessment: e.g. dynamics of pollution of the water areas by chemical elements as well as thematic maps (meteorological, hydrochemical, lithological conditions). Joint analysis of environmental factors is performed using set of the existing maps. Ranking maps of the water areas derive symbols, legends, labels, (scale) settings, coordinate systems and data sources from the combined maps created on the previous steps. Created combined maps are added to the database. All layers of the new maps are copied to the current database and reference tables are supplemented with information on the names, structure, and location of the data. The GIS tools allow to create new vector and raster layers and maps by accessing already existing, and linking them to the spatial information to identify features and relationships between the natural objects.
- Published
- 2015
4. Elemental Composition of Vegetation as an Indicator of Technogenic Influence in Ust-Kamenogorsk City
- Author
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Yalaltdinova, Albina, Institut Charles Delaunay (ICD), Université de Technologie de Troyes (UTT)-Centre National de la Recherche Scientifique (CNRS), Université de Technologie de Troyes, Université polytechnique de Tomsk (Russie), Natalia Baranovskaya, Junbeum Kim, and STAR, ABES
- Subjects
Analyse du cycle de vie ,Plantes indicatrices ,[SDV.EE]Life Sciences [q-bio]/Ecology, environment ,[SDE.IE]Environmental Sciences/Environmental Engineering ,Géochimie de l'environnement ,Plant indicators ,Eléments traces -- Analyse ,[SDV.EE] Life Sciences [q-bio]/Ecology, environment ,Life cycle assessment ,Environmental impact analysis ,Environnement -- Etudes d'impact ,Environmental geochemistry ,[SDE.IE] Environmental Sciences/Environmental Engineering ,Trace elements - Analysis - Abstract
With widespread urbanization and industrial development, the composition of the Earth's geosphere shells has changed, increasing the number of geoecological problems of territories and negatively affecting human health. Currently, more attention is being paid to monitoring the state of the components of urban natural environments. In Russia, biogeochemical methods (e.g. applying tree leaves as a kind of natural receptor of pollution) are widely used to characterize the geoecological problems of the territories under the pressure of intensive industrial activities. In Western countries, methods allowing us to estimate the impact of ambient factors on ecosystems and human health have become widespread; life cycle impact assessment is among them. However, these methods still have not been applied in combination. Therefore, the implementation of a comprehensive assessment of urban ecosystems using indicators reflecting the intensity of anthropogenic impact on ecosystems, following mapping of pollutant distributions, as well as the subsequent use of the results in the evaluation of the industrial enterprises' impact on the environment and in the prediction of the negative effects of pollution (human toxicity and ecotoxicity) are relevant. Such integrated method combining two methodologies was suggested and implemented in the territory of Ust-Kamenogorsk city, one of the significantly technogenic transformed cities in Kazakhstan with a specific set of enterprises, L’accroissement de l’urbanisation et le développement industriel modifient la composition des géosphères de la Terre, en augmentant le nombre de problèmes géoécologiques et en affectant négativement la santé humaine. Actuellement, plus d'attention est accordée à la surveillance de l'état des composants de l’environnement naturel urbain. En Russie, les méthodes biogéochimiques (par ex., l'application de feuilles des arbres comme un récepteur naturel de la pollution) sont largement utilisées pour caractériser les problèmes géoécologiques des territoires dans des conditions d’intensité d’activités industrielles. Dans les pays occidentaux, les méthodes permettant d'estimer l'impact des facteurs ambiants sur la géosphère et la santé humaine sont répandues, parmi lesquelles l'évaluation des impacts du cycle de vie (ÉICV). Cependant, ces méthodes ne sont toujours pas appliquées en combinaison. L’utilisation d’indicateurs efficaces reflétant l'intensité de l'impact anthropique sur les écosystèmes; d’une cartographie de la distribution des polluants, ainsi que l'utilisation a posteriori de ces résultats dans l'évaluation des impacts sur l'environnement et la prédiction de leurs effets négatifs des entreprises industrielles (toxicité humaine et l'écotoxicité) sont pertinents pour l'évaluation complète des écosystèmes urbains. Cette méthode intégrée a été proposée et mise en œuvre sur le territoire d’Ust-Kamenogorsk, l'une des villes ayant subie des transformations technogéniques significatives au Kazakhstan avec un ensemble spécifique d’entreprises
- Published
- 2015
5. Processing remote sensing data using Erdas Imagine for mapping Aegean Sea region, Turkey
- Author
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Lemenkova, Polina and Ocean University of China (OUC)
- Subjects
Landsat Imagery ,ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis ,GIS Geographic Information System ,Image analysis and processing ,Image analysis ,[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing ,Image processing Pattern recognition ,Image processing Digital image processing ,ComputingMilieux_MISCELLANEOUS ,ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement/I.4.3.3: Registration ,GIS Data Modelling ,ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION ,[SDV.EE]Life Sciences [q-bio]/Ecology, environment ,ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering/I.5.3.0: Algorithms ,[SDE.IE]Environmental Sciences/Environmental Engineering ,ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement/I.4.3.1: Geometric correction ,[SHS.GEO]Humanities and Social Sciences/Geography ,ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.0: Edge and feature detection ,[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR] ,Landsat 7 ETM+ ,ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.5: Implementation/I.5.5.1: Special architectures ,[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] ,[SDE]Environmental Sciences ,ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement ,Image classification ,[SDE.MCG]Environmental Sciences/Global Changes ,ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.2: Region growing, partitioning ,ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement/I.4.3.0: Filtering ,Image processing Image recognition ,ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General ,ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General/I.4.0.1: Image processing software ,[SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems ,ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.7: Feature Measurement/I.4.7.4: Size and shape ,[INFO]Computer Science [cs] ,ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.0: Color ,[INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC] ,ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications ,ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION ,ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.7: Feature Measurement/I.4.7.3: Projections ,Spatial analysis ,ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.1: Pixel classification ,[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV] ,ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering ,ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering/I.5.3.1: Similarity measures ,[SDE.ES]Environmental Sciences/Environmental and Society ,ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.3: Relaxation ,ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation ,ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General/I.4.0.0: Image displays ,ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.7: Feature Measurement/I.4.7.5: Texture ,[SDE.BE]Environmental Sciences/Biodiversity and Ecology - Abstract
International audience
- Published
- 2015
6. Immunostimulatory Activity of Triterpene Glycosides of Saponaria Officinalis L. Roots
- Author
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Edelev, Dmitry, Kuznetsova, Tatyana A, Ivanushko, Ludmila Alexandrovna, Yudina, Tatiana Pavlovna, Frolova, Galina M, Cherevach, Elena I., Novak, S. A., Modern trading 'North-South' Department, Moscow State University of Food Production, Pacific Institute of Bioorganic Chemistry, Far Eastern Branch of the Russian Academy of Sciences (FEB RAS), and Mayorova, Natalia
- Subjects
ФУНКЦИОНАЛЬНЫЕ ПРОДУКТЫ ПИТАНИЯ ,[SDV.EE]Life Sciences [q-bio]/Ecology, environment ,ИММУНОЛОГИЧЕСКИЕ РЕАКЦИИ ,PLANT SAPONINS ,IMMUNOLOGICAL REACTIONS ,CYTOKINES ,DOSE-RELATED IMMUNOMODULATING ACTIVITY ,ТРИТЕРПЕНОВЫЕ ГЛИКОЗИДЫ ,TRITERPENE GLYCOSIDES ,ИММУНОМОДУЛИРУЮЩАЯ ДОЗОЗАВИСИМАЯ АКТИВНОСТЬ ,ЦИТОКИНЫ ,[SDV.EE] Life Sciences [q-bio]/Ecology, environment ,WHOLE BLOOD FROM HEALTHY DONORS ,S. OFFICINALIS L ,FUNCTIONAL FOODS ,САПОНИНЫ ,[SDV.BV]Life Sciences [q-bio]/Vegetal Biology ,[SDV.BV] Life Sciences [q-bio]/Vegetal Biology ,ЦЕЛЬНАЯ КРОВЬ ЗДОРОВЫХ ДОНОРОВ - Abstract
The article research the effect of triterpene glycosides of the roots of Saponaria officinalis L. on synthesis of cytokines INFy, TNFα, IL-1ß, IL-6, IL-4 by human mononuclear cells in vitro. Authors found dose-dependent immunomodulatory effect, aimed at stimulating cellular immunity, which suggests the possibility of their use in the production of functional foods for prevention of immune diseases and prevention of food allergies., Исследовано влияние тритерпеновых гликозидов корней Saponaria officinalis L. на синтез цитокинов INFγ, TNFα, IL-1ß, IL-6, IL-4 мононуклеарными клетками человека in vitro. Установлен их дозозависимый иммуномодулирующий эффект, направленный на стимуляцию клеточного иммунитета, что предполагает возможность их использования при производстве функциональных продуктов питания для профилактики иммунных заболеваний и предотвращения пищевых аллергических реакций.
- Published
- 2012
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