Contacts with Diasporas and Diaspora Organisations as a Key to a Successful Migrant Integration Policy in the EU

We analyse European Commission and European Parliament documents - directives, communications, conclusions, recommendations - and best practices for EU member states' international projects focusing on migrant integration in both the EU states and the countries of origin. Special emphasis is placed on the role of diasporas and the efforts taken by the EU to involve them in the integration process. We stress the need for a new supranational EU immigration and integration policy, in view of new migration trends and the so-called migrant crisis. The study shows that the EU integration policy is directed towards both migrants and host countries and the countries of origin. Since the early 2010s, the involvement of various diaspora organisations in the implementation of the EU migrant integration policy has significantly increased. An analysis of completed projects shows that diasporas have a potential of becoming a key actor in the EU integration policy. We suggest expanding the list of the objectives of the national integration policy of the EU countries. This may be achieved by boosting efforts to reduce the gap in the socio-economic development of the host countries and the countries of origin, particularly, by promoting multilateral cooperation with diaspora organisations

Mitochondrial Electron Transport Chain in Heavy Metal-Induced Neurotoxicity: Effects of Cadmium, Mercury, and Copper

To clarify the role of mitochondrial electron transport chain (mtETC) in heavy-metal-induced neurotoxicity, we studied action of Cd2+, Hg2+, and Cu2+ on cell viability, intracellular reactive oxygen species formation, respiratory function, and mitochondrial membrane potential of rat cell line PC12. As found, the metals produced, although in a different way, dose- and time-dependent changes of all these parameters. Importantly, Cd2+ beginning from 10 [mu]M and already at short incubation time (3 h) significantly inhibited the FCCP-uncoupled cell respiration; besides, practically the complete inhibition of the respiration was reached after 3 h incubation with 50 [mu]M Hg2+ or 500 [mu]M Cd2+, whereas even after 48 h exposure with 500 [mu]M Cu2+, only a 50% inhibition of the respiration occurred. Against the Cd2+-induced cell injury, not only different antioxidants and mitochondrial permeability transition pore inhibitors were protective but also such mtETC effectors as FCCP and stigmatellin (complex III inhibitor). However, all mtETC effectors used did not protect against the Hg2+- or Cu2+-induced cell damage. Notably, stigmatellin was shown to be one of the strongest protectors against the Cd2+-induced cell damage, producing a 15–20% increase in the cell viability. The mechanisms of the mtETC involvement in the heavy-metal-induced mitochondrial membrane permeabilization and cell death are discussed

Assessing the accuracy of blending Landsat-MODIS surface reflectances in two landscapes with contrasting spatial and temporal dynamics: A framework for algorithm selection

Blending algorithms model land cover change by using highly resolved spatial data from one sensor and highly resolved temporal data from another. Because the data are not usually observed concurrently, unaccounted spatial and temporal variances cause error in blending algorithms, yet, to date, there has been no definitive assessment of algorithm performance against spatial and temporal variances. Our objectives were to: (i) evaluate the accuracy of two advanced blending algorithms (STARFM and ESTARFM) and two simple benchmarking algorithms in two landscapes with contrasting spatial and temporal variances; and (ii) synthesise the spatial and temporal conditions under which the algorithms performed best. Landsat-like images were simulated on 27 dates in total using the nearest temporal cloud-free Landsat-MODIS pairs to the simulation date, one before and one after. RMSD, bias, and r2 estimates between simulated and observed Landsat images were calculated, and overall variance of Landsat and MODIS datasets were partitioned into spatial and temporal components. Assessment was performed over the whole study site, and for specific land covers. Results addressing objective (i) were that: ESTARFM did not always produce lower errors than STARFM; STARFM and ESTARFM did not always produce lower errors than simple benchmarking algorithms; and land cover spatial and temporal variances were strongly associated with algorithm performance. Results addressing objective (ii) indicated ESTARFM was superior where/when spatial variance was dominant; and STARFM was superior where/when temporal variance was dominant. We proposed a framework for selecting blending algorithms based on partitioning variance into the spatial and temporal components and suggested that comparing Landsat and MODIS spatial and temporal variances was a practical method to determine if, and when, MODIS could add value for blending

Blending Landsat and MODIS Data to Generate Multispectral Indices: A Comparison of “Index-then-Blend” and “Blend-then-Index” Approaches

The objective of this paper was to evaluate the accuracy of two advanced blending algorithms, Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM) and Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM) to downscale Moderate Resolution Imaging Spectroradiometer (MODIS) indices to the spatial resolution of Landsat. We tested two approaches: (i) "Index-then-Blend" (IB); and (ii) "Blend-then-Index" (BI) when simulating nine indices, which are widely used for vegetation studies, environmental moisture assessment and standing water identification. Landsat-like indices, generated using both IB and BI, were simulated on 45 dates in total from three sites. The outputs were then compared with indices calculated from observed Landsat data and pixel-to-pixel accuracy of each simulation was assessed by calculating the: (i) bias; (ii) R; and (iii) Root Mean Square Deviation (RMSD). The IB approach produced higher accuracies than the BI approach for both blending algorithms for all nine indices at all three sites. We also found that the relative performance of the STARFM and ESTARFM algorithms depended on the spatial and temporal variances of the Landsat-MODIS input indices. Our study suggests that the IB approach should be implemented for blending of environmental indices, as it was: (i) less computationally expensive due to blending single indices rather than multiple bands; (ii) more accurate due to less error propagation; and (iii) less sensitive to the choice of algorithm

Chimeric Antibody 14D5 Protects Mice against the Far-Eastern, Siberian, and European Tick-borne Encephalitis Virus

Tick-borne encephalitis virus (TBEV), belonging to the Flaviviridae family, is the most significant pathogen transmitted by Ixodes ticks and causing one of the most severe human neuroinfections. In Russia, serum immunoglobulin produced from the donor blood is currently used for post-exposure prophylactic and therapy of tick-borne encephalitis virus. However, it is known that preparations obtained from donated blood have certain disadvantages, and therefore development of novel preparations for post exposure prophylaxis and therapy of tick-borne encephalitis is required. To develop an alternative preparation, which does not include donor blood, a chimeric antibody ch14D5 against glycoprotein E of TBEV was constructed.This study was aimed to investigate protective efficacy of the chimeric antibody ch14D5 against the Far-Eastern, Siberian, and European subtypes of TBEV in in vivo experiments.A peripheral mouse model of tick-borne encephalitis was used in this study: the chimeric antibody ch14D5 was administrated intravenously in mice one day after their intraperitoneal infection with TBEV strains Sofjin, Vasilchenko, and Absettarov. Anti-TBEV serum immunoglobulin was used as a control preparation, which was administered in the same way. Protective efficacy of the chimeric antibodies 14D5 was assessed using the log-rank test. In the study, the presence or absence of antibody-dependent enhancement of infection (ADE) was examined when mice, infected with different subtypes of the TBEV, got the antibody ch14d5.Obtained results demonstrated high efficacy of the ch14D5 antibody in post-exposure prophylaxis of the disease in mice infected with any of the used TBEV strains, as well as the absence of ADE.It was shown that protective efficacy of antibody ch14D5 is higher than that of the anti-TBEV serum immunoglobulin, and antibody ch14D5 could be used for development of a therapeutic preparation for post-exposure prophylaxis

Particularities of speech readiness for schooling in pre-school children having general speech underdevelopment: a social and pedagogical aspect

The relevance of the research is due to the necessity of creating the pedagogical conditions for correction and development of speech in children having the general speech underdevelopment. For them, difficulties generating a coherent utterance are characteristic, which prevents a sufficient speech readiness for schooling forming in them as well as successful socialization. With regard to this, the paper is aimed at finding out the particularities of coherent monologic and dialogical speech in senior pre-school children having the general speech underdevelopment. The leading method to studying this problem is experimental studying, which allows viewing the particularities of coherent dialogical and monologic speech in pre-schoolers having the general speech underdevelopment in an integrated way. The paper describes particularities of coherent monologic and dialogical speech in pre-school children having the general underdevelopment depending on the level of formation. The quantitative and qualitative analysis of the data obtained has shown that pre-school children having the general speech underdevelopment have significant difficulty carrying on a dialogue and making up detailed utterances. Examples of various lexical and grammatical, logical and meaning-related mistakes of the children are given. The materials of the paper may be of use for specialists rendering the psychological and pedagogical support for children having speech disorders in the educational process

On the Mechanism(s) of Membrane Permeability Transition in Liver Mitochondria of Lamprey, Lampetra fluviatilis L.: Insights from Cadmium

Previously we have shown that opening of the mitochondrial permeability transition pore in its low conductance state is the case in hepatocytes of the Baltic lamprey (Lampetra fluviatilis L.) during reversible metabolic depression taking place in the period of its prespawning migration when the exogenous feeding is switched off. The depression is observed in the last year of the lamprey life cycle and is conditioned by reversible mitochondrial dysfunction (mitochondrial uncoupling in winter and coupling in spring). To further elucidate the mechanism(s) of induction of the mitochondrial permeability transition pore in the lamprey liver, we used Cd2+ and Ca2+ plus Pi as the pore inducers. We found that Ca2+ plus Pi induced the high-amplitude swelling of the isolated “winter” mitochondria both in isotonic sucrose and ammonium nitrate medium while both low and high Cd2+ did not produce the mitochondrial swelling in these media. Low Cd2+ enhanced the inhibition of basal respiration rate of the “winter” mitochondria energized by NAD-dependent substrates whereas the same concentrations of the heavy metal evoked its partial stimulation on FAD-dependent substrates. The above changes produced by Cd2+ or Ca2+ plus Pi in the “winter” mitochondria were only weakly (if so) sensitive to cyclosporine A (a potent pharmacological desensitizer of the nonselective pore) added alone and they were not sensitive to dithiothreitol (a dithiol reducing agent). Under monitoring of the transmembrane potential of the “spring” lamprey liver mitochondria, we revealed that Cd2+ produced its decrease on both types of the respiratory substrates used that was strongly hampered by cyclosporine A, and the membrane potential was partially restored by dithiothreitol. The effects of different membrane permeability modulators on the lamprey liver mitochondria function and the seasonal changes in their action are discussed

Mapping groundwater-dependent ecosystems using remote sensing measures of vegetation and moisture dynamics

Protection of groundwater-dependent ecosystems (GDEs) is an important criterion in sustainable groundwater management, particularly when human water consumption is in competition with environmental water demands; however, the delineation of GDEs is commonly a challenging task. The Groundwater-dependent Ecosystem Mapping (GEM) method proposed here is based on interpretation of the land surface response to the drying process derived from combined changes in two multispectral indices, the Normalised Difference Vegetation Index and the Normalised Difference Wetness Index, both derived from Landsat imagery. The GEM method predicts three land cover classes used for delineation of potential GDEs: vegetation with permanent access to groundwater; vegetation with diminishing access to groundwater; and water bodies that can persist through a prolonged dry period. The method was applied to a study site in the Ellen Brook region of Western Australia, where a number of GDEs associated with localised groundwater, diffuse discharge zones, and riparian vegetation were known. The estimated accuracy of the method indicated a good agreement between the predicted and known GDEs; Producer's accuracy was calculated as up to 91% for some areas. The method is most applicable for mapping GDEs in regions with a distinct drying period

Assessing the accuracy of blending Landsat-MODIS surface reflectances in two landscapes with contrasting spatial and temporal dynamics : A framework for algorithm selection

Blending algorithms model land cover change by using highly resolved spatial data from one sensor and highly resolved temporal data from another. Because the data are not usually observed concurrently, unaccounted spatial and temporal variances cause error in blending algorithms, yet, to date, there has been no definitive assessment of algorithm performance against spatial and temporal variances. Our objectives were to: (i) evaluate the accuracy of two advanced blending algorithms (STARFM and ESTARFM) and two simple benchmarking algorithms in two landscapes with contrasting spatial and temporal variances; and (ii) synthesise the spatial and temporal conditions under which the algorithms performed best. Landsat-like images were simulated on 27 dates in total using the nearest temporal cloud-free Landsat-MODIS pairs to the simulation date, one before and one after. RMSD, bias, and r2 estimates between simulated and observed Landsat images were calculated, and overall variance of Landsat and MODIS datasets were partitioned into spatial and temporal components. Assessment was performed over the whole study site, and for specific land covers. Results addressing objective (i) were that: ESTARFM did not always produce lower errors than STARFM; STARFM and ESTARFM did not always produce lower errors than simple benchmarking algorithms; and land cover spatial and temporal variances were strongly associated with algorithm performance. Results addressing objective (ii) indicated ESTARFM was superior where/when spatial variance was dominant; and STARFM was superior where/when temporal variance was dominant. We proposed a framework for selecting blending algorithms based on partitioning variance into the spatial and temporal components and suggested that comparing Landsat and MODIS spatial and temporal variances was a practical method to determine if, and when, MODIS could add value for blending