98 resultados para Crimean Tatars.


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Biogeochemical measurements in sediment cores collected with the submersible JAGO (pusch cores) and a TV-MUC in the Black Sea during MSM15/1, Northwest Crimea (HYPOX Project), at water depths between 152-156 m. A series of microbial mats were sampled on the hypoxic region of the Crimean Shelf. Concentrations of organic carbon (Corg) and nitrogen (N) were measured on finely powdered, freeze-dried subsamples of sediment using a using a Fisons NA-1500 elemental analyzer. For organic carbon determination samples were pre-treated with 12.5% HCl to remove carbonates. Chlorophyll a (chl a), phaeopigments (PHAEO) and chloroplastic pigment equivalents (CPE) was measured according to Schubert et al., (2005) and total hydrolyzable amino acids (THAA) and single amino acid: ASP, GLU, SER, HIS, GLY, THR, ARG, ALA, TYR, MET, VAL, PHE, ILE, LEU, LYS following Dauwe et al., 1998.

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Biogeochemical measurements in sediment cores collected with the submersible JAGO (pusch cores) and a TV-MUC in the Black Sea during MSM15/1, Northwest Crimea (HYPOX Project), at water depths between 152-156 m. A series of microbial mats were sampled on the hypoxic region of the Crimean Shelf. Concentrations of organic carbon (Corg) and nitrogen (N) were measured on finely powdered, freeze-dried subsamples of sediment using a using a Fisons NA-1500 elemental analyzer. For organic carbon determination samples were pre-treated with 12.5% HCl to remove carbonates. Chlorophyll a (chl a), phaeopigments (PHAEO) and chloroplastic pigment equivalents (CPE) was measured according to Schubert et al., (2005) and total hydrolyzable amino acids (THAA) and single amino acid: ASP, GLU, SER, HIS, GLY, THR, ARG, ALA, TYR, MET, VAL, PHE, ILE, LEU, LYS following Dauwe et al., 1998.

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Biogeochemical measurements in sediment cores collected with the submersible JAGO (pusch cores) and a TV-MUC in the Black Sea during MSM15/1, Northwest Crimea (HYPOX Project), at water depths between 152-156 m. A series of microbial mats were sampled on the hypoxic region of the Crimean Shelf. Concentrations of organic carbon (Corg) and nitrogen (N) were measured on finely powdered, freeze-dried subsamples of sediment using a using a Fisons NA-1500 elemental analyzer. For organic carbon determination samples were pre-treated with 12.5% HCl to remove carbonates. Chlorophyll a (chl a), phaeopigments (PHAEO) and chloroplastic pigment equivalents (CPE) was measured according to Schubert et al., (2005; doi:10.1029/2004GC000837) and total hydrolyzable amino acids (THAA) and single amino acid: ASP, GLU, SER, HIS, GLY, THR, ARG, ALA, TYR, MET, VAL, PHE, ILE, LEU, LYS following Dauwe et al., 1998. High-resolution ex situ sulfide and pH microprofiles, were assessed only for station MSM15/1_492_PUC1. "in mat 1, 2 and 3" refers to 3 different profiles in 3 different spots of the microbial mat, whereas "outside mat", a profile outside the microbial mat.

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Biogeochemical measurements in sediment cores collected with the submersible JAGO (pusch cores) and a TV-MUC in the Black Sea during MSM15/1, Northwest Crimea (HYPOX Project), at water depths between 152-156 m. A series of microbial mats were sampled on the hypoxic region of the Crimean Shelf. Concentrations of organic carbon (Corg) and nitrogen (N) were measured on finely powdered, freeze-dried subsamples of sediment using a using a Fisons NA-1500 elemental analyzer. For organic carbon determination samples were pre-treated with 12.5% HCl to remove carbonates. Chlorophyll a (chl a), phaeopigments (PHAEO) and chloroplastic pigment equivalents (CPE) was measured according to Schubert et al., (2005) and total hydrolyzable amino acids (THAA) and single amino acid: ASP, GLU, SER, HIS, GLY, THR, ARG, ALA, TYR, MET, VAL, PHE, ILE, LEU, LYS following Dauwe et al., 1998.

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Biogeochemical measurements in sediment cores collected with the submersible JAGO (pusch cores) and a TV-MUC in the Black Sea during MSM15/1, Northwest Crimea (HYPOX Project), at water depths between 152-156 m. A series of microbial mats were sampled on the hypoxic region of the Crimean Shelf. Concentrations of organic carbon (Corg) and nitrogen (N) were measured on finely powdered, freeze-dried subsamples of sediment using a using a Fisons NA-1500 elemental analyzer. For organic carbon determination samples were pre-treated with 12.5% HCl to remove carbonates. Chlorophyll a (chl a), phaeopigments (PHAEO) and chloroplastic pigment equivalents (CPE) was measured according to Schubert et al., (2005) and total hydrolyzable amino acids (THAA) and single amino acid: ASP, GLU, SER, HIS, GLY, THR, ARG, ALA, TYR, MET, VAL, PHE, ILE, LEU, LYS following Dauwe et al., 1998.

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Stereo video techniques are effective for estimating the space–time wave dynamics over an area of the ocean. Indeed, a stereo camera view allows retrieval of both spatial and temporal data whose statistical content is richer than that of time series data retrieved from point wave probes. We present an application of the Wave Acquisition Stereo System (WASS) for the analysis of offshore video measurements of gravity waves in the Northern Adriatic Sea and near the southern seashore of the Crimean peninsula, in the Black Sea. We use classical epipolar techniques to reconstruct the sea surface from the stereo pairs sequentially in time, viz. a sequence of spatial snapshots. We also present a variational approach that exploits the entire data image set providing a global space–time imaging of the sea surface, viz. simultaneous reconstruction of several spatial snapshots of the surface in order to guarantee continuity of the sea surface both in space and time. Analysis of the WASS measurements show that the sea surface can be accurately estimated in space and time together, yielding associated directional spectra and wave statistics at a point in time that agrees well with probabilistic models. In particular, WASS stereo imaging is able to capture typical features of the wave surface, especially the crest-to-trough asymmetry due to second order nonlinearities, and the observed shape of large waves are fairly described by theoretical models based on the theory of quasi-determinism (Boccotti, 2000). Further, we investigate space–time extremes of the observed stationary sea states, viz. the largest surface wave heights expected over a given area during the sea state duration. The WASS analysis provides the first experimental proof that a space–time extreme is generally larger than that observed in time via point measurements, in agreement with the predictions based on stochastic theories for global maxima of Gaussian fields.

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In recent years, remote sensing imaging systems for the measurement of oceanic sea states have attracted renovated attention. Imaging technology is economical, non-invasive and enables a better understanding of the space-time dynamics of ocean waves over an area rather than at selected point locations of previous monitoring methods (buoys, wave gauges, etc.). We present recent progress in space-time measurement of ocean waves using stereo vision systems on offshore platforms, which focus on sea states with wavelengths in the range of 0.01 m to 1 m. Both traditional disparity-based systems and modern elevation-based ones are presented in a variational optimization framework: the main idea is to pose the stereoscopic reconstruction problem of the surface of the ocean in a variational setting and design an energy functional whose minimizer is the desired temporal sequence of wave heights. The functional combines photometric observations as well as spatial and temporal smoothness priors. Disparity methods estimate the disparity between images as an intermediate step toward retrieving the depth of the waves with respect to the cameras, whereas elevation methods estimate the ocean surface displacements directly in 3-D space. Both techniques are used to measure ocean waves from real data collected at offshore platforms in the Black Sea (Crimean Peninsula, Ukraine) and the Northern Adriatic Sea (Venice coast, Italy). Then, the statistical and spectral properties of the resulting observed waves are analyzed. We show the advantages and disadvantages of the presented stereo vision systems and discuss future lines of research to improve their performance in critical issues such as the robustness of the camera calibration in spite of undesired variations of the camera parameters or the processing time that it takes to retrieve ocean wave measurements from the stereo videos, which are very large datasets that need to be processed efficiently to be of practical usage. Multiresolution and short-time approaches would improve efficiency and scalability of the techniques so that wave displacements are obtained in feasible times.

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Remote sensing imaging systems for the measurement of oceanic sea states have recently attracted renovated attention. Imaging technology is economical, non-invasive and enables a better understanding of the space-time dynamics of ocean waves over an area rather than at selected point locations of previous monitoring methods (buoys, wave gauges, etc.). We present recent progress in space-time measurement of ocean waves using stereo vision systems on offshore platforms. Both traditional disparity-based systems and modern elevation-based ones are presented in a variational optimization framework: the main idea is to pose the stereoscopic reconstruction problem of the surface of the ocean in a variational setting and design an energy functional whose minimizer is the desired temporal sequence of wave heights. The functional combines photometric observations as well as spatial and temporal smoothness priors. Disparity methods estimate the disparity between images as an intermediate step toward retrieving the depth of the waves with respect to the cameras, whereas elevation methods estimate the ocean surface displacements directly in 3-D space. Both techniques are used to measure ocean waves from real data collected at offshore platforms in the Black Sea (Crimean Peninsula, Ukraine) and the Northern Adriatic Sea (Venice coast, Italy). Then, the statistical and spectral properties of the resulting observed waves are analyzed. We show the advantages and disadvantages of the presented stereo vision systems and discuss the improvement of their performance in critical issues such as the robustness of the camera calibration in spite of undesired variations of the camera parameters.

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Los impresionantes cambios surgidos tras el inicio de la Revolución Industrial ayudaron a que de manera reiterada se buscaran soluciones a los diferentes problemas que se sucedían, uno tras de otro, como resultado del hacinamiento y las modificaciones sociopolíticas y económicas. Los avances en el campo de la ciencia, y en particular en las ciencias de la salud, fueron innumerables, estableciéndose en la sociedad una preocupación marcada por solucionar los problemas de las clases más desfavorecidas. En el campo de la sanidad, progresivamente se fueron dejando atrás posturas ancladas en los modelos basados en los «miasmas», para pasar a fundamentarse en el modelo microbiano de la mano de Pasteur y Lister. Estos descubrimientos fueron trasladados a la arquitectura progresivamente, dando paso a edificios que buscaban mantener unas condiciones higiénicas adecuadas que exiliaran las enfermedades del interior de los «paramentos de los hospitales». Ejemplo de esta lucha fue la llevada a cabo por la enfermera Florence Nightingale, que gracias a la observación y a sus conocimientos adquiridos tanto en el Instituto de Diaconisas de Kaiserswerth en Alemania como en la Maison de la Providence de las Hermanas de la Caridad de París, logró establecer una serie de pautas que aplicó al establecimiento que gestionó, el Hospital Scutari, durante la Guerra de Crimea.

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This layer is a georeferenced raster image of the historic paper map entitled: Plan Sevastopoli͡a s ukrʺplenīi͡ami ot rʺki Belʹbek do Balaklavy : i s oznachenĭemʹ vsʺkh osadnykh raspolozhenīĭ. It was published by Izd. A. Beggrova in 1854. Scale [ca. 1:53,000]. Covers Sevastopol’, Ukraine. Map in Russian. The image inside the map neatline is georeferenced to the surface of the earth and fit to the European Datum 1950, Universal Transverse Mercator (UTM) Zone 36N projected coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as drainage, cities and other human settlements, territorial boundaries, shoreline features, roads, built-up areas, selected buildings including defenses and fortification related to he Siege of Sevastopol’, Ukraine, during the Crimean War, 1854-1855, and more. Relief shown by hachures.This layer is part of a selection of digitally scanned and georeferenced historic maps from The Harvard Map Collection as part of the Imaging the Urban Environment project. Maps selected for this project represent major urban areas and cities of the world, at various time periods. These maps typically portray both natural and manmade features at a large scale. The selection represents a range of regions, originators, ground condition dates, scales, and purposes.

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Despite the rapidly escalating situation in Ukraine, Michael Emerson discerns in this CEPS Commentary a very slim margin of possibility that cooler heads may still prevail in the Crimean peninsula and allow a return to a mundane and peaceful normality.

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The EU relies heavily on imports to meet its demand for natural gas. Nearly 23% of the gas burned by the EU member states is produced in Russian gas fields. Ukraine remains one of the main supply routes for Russian gas flowing into Europe. Consequently, mounting tensions between Russia and Ukraine concerning the Crimean Peninsula brought back memories of past gas supply disruptions, most notably of 2009. The question today is whether the EU in 2014 is equally vulnerable to potential (forced or voluntary) cuts in Russian gas supplies as it was five years ago. In this commentary, Arno Behrens and Julian Wieczorkiewicz look into two different scenarios. First, could Europe sustain longer cuts in gas supplies from Russia? And second, what impact would disruptions of Russian gas deliveries to Ukraine have on the EU? Essentially the authors argue that Russia is highly dependent on gas exports to Europe, while Europe could resort to alternatives to Russian gas. In addition, Europe is much better prepared for potential short-term supply disruptions than it was five years ago.

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During the past six months Ukraine has been through a revolution, its Crimean peninsula has been annexed by Russia and its territorial integrity continues to be challenged. With ongoing unrest in three Eastern regions, a peace deal recently agreed in Geneva hangs by a thread as pro-Russian separatists continue to occupy numerous public buildings and international actors remain divided over how long to wait for Russia to implement the accord before placing new sanctions. While the West accuses Russia of provoking and influencing the unrest, Russia points the finger at Ukraine’s interim leadership which it claims is illegal and “fascist”.

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The annexation of Crimea has brought the Russian authorities significant dividends, in particular on the domestic stage: it has resulted in an unprecedented social and political consolidation, and strengthened Vladimir Putin’s position after several years of decline in social support for him. It has provided Russia with strategic benefits, giving it broad access to the Black Sea and the military infrastructure on the peninsula, as well as access to natural gas and crude oil reserves. Russia has also taken over numerous assets (including the tourist infrastructure) previously owned by the Ukrainian state. However, the decision itself concerning Moscow’s annexation of Crimea was taken off the cuff, with no calculation of the costs of integrating it with the Russian legal, political and socio-economic space. Russia took over a region that required subsidies from the Ukrainian budget; moreover, the annexation struck at the most important industry of the Crimean economy – tourism. Crimea’s integration with Russia will be a complex process that entails high costs, financial, organisational and social, including multi-billion dollar investments in the modernisation and development of infrastructure, covering the region’s budget deficit, and paying out social benefits. For reasons of prestige and political significance, Moscow is treating Crimea as a showcase region. Russia is determined to prove that the Crimean incorporation will be beneficial for the region’s economy and will raise people’s living standards. However, the expenses triggered by Crimea’s integration will coincide with a deteriorating economic situation in Russia, aggravated by US and EU sanctions, and this may force Russia to postpone or even give up some of its ambitious investments in the peninsula. Some of the integration costs will have to be borne by other Russian regions, even though they already face serious financial problems that have forced them to reduce their own investment programs. Another issue that has come into question is the fulfilment of the Crimean people’s’ expectations concerning the improvement of their living standards, due to the tourist sector’s problems (small-scale tourist services used to be one of the local people’s main sources of income), the rising costs of maintenance, and finally, restrictions of civil rights after the introduction of the more restrictive Russian legislation.