1,029 research outputs found

    The rule of law in the UK: essence and approaches to determination

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    The research is focused on the essence of the rule of law as a constitutional and legal principle as the basis of the UK constitution and approaches to its determination. The rule of law, being a general legal principle, which has been developed in various legal concepts, including the British rule of law, the German rechtsstaat, the French etat de droit, at the present stage has become one of the fundamental constitutional and legal characteristics, both at the national and supranational level. National concepts of the rule of law, having certain differences and peculiarities, are essentially aimed at achieving similar goals. However, their substantive content is formed on the basis of existing features of specific national legal orders. One of the earliest and most developed in terms of constitutional and legal theory and practice is the UK approach to the rule of law. However, the question of its determining remains relevant at the present stage. The object is the concept of the rule of law developed in the UK, the subject is its specific features and manifestations, as well as approaches to its determination in British legal doctrine and practice. The purpose is to explore the issue of determination of the rule of law in the UK and to form a comprehensive approach to understanding its essence. The methodological basis of the research is constituted by 1) dialectical method, 2) general scientific methods including analysis, synthesis, comparison, analogy, deduction and induction, 3) special methods including logical, formal-legal, comparative-legal, and statistical methods. Based on the analysis the author makes an attempt to define the essence of the rule of law as an integral part of the UK constitution and its key features

    SYSTEMIC FEATURES OF INNOVATION DEVELOPMENT IN THE USA

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    Due to the importance of innovations as a factor for economic growth and competitiveness, ensuring their sustainable development is a universal task for the country. The most intense race for innovation is observed among countries striving for global dominance. This article is dedicated to the study of the specific features of innovation development in the United States, where innovative potential has become one of the cornerstones of their economic strategy and a key driver of their success. The United States has significant distinctions from other countries in terms of culture, institutions, economic organizations, economic regulation, etc., which together create the basic conditions for innovation and require consideration. The focus on innovation development in the United States is driven by intensified competition with other global players, particularly from China. The main goal of the research is to summarize and characterize the systemic features of innovation development in the United States, as well as to identify the key factors intensifying innovation productivity in the country. The study of the systemic features of innovation development in the United States covered the analysis of 1) civilizational factors; 2) institutional system; 3) economic system; 4) innovation system; 5) state innovation policy. The main factors intensifying innovation productivity in the United States were identified as the combination of entrepreneurial and large-scale capitalism, venture capital investment, and territorial agglomerations of innovative structures. The need to consider the peculiarities of innovation generation in the military sector, universities, and non-profit organizations has been justified. The strength of the United States innovation system has been statistically demonstrated, however, the increasing competition in science and innovation from China has been confirmed. This has led to the intensification and change in the type of state innovation policy in the United States, with a focus on targeted support for innovation in industry in the context of the green transition

    Determining the key factors of the innovation gap between EU countries

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    Innovation plays a crucial role in ensuring economic growth and competitiveness of national economies, creating conditions for their sustainable development. By focusing on supporting innovation, the EU is particularly helping to accelerate the development of those member states that lag far behind the EU average. This requires the selection of the indicators reflecting the development of innovation that determine the differences between member countries to the greatest extent. Therefore, the aim of the study is to identify the key factors of the innovation gap (FIG) between EU countries based on a comparison of indicators characterizing the national innovation systems (NIS). For this purpose, 22 relative indicators were selected from the indicators included in the Global Innovation Index to form an array of empirical data. At the first stage, the EU countries were divided into four clusters using the k-means method. At the second stage, using the decision tree method, a group of indicators was identified that together distinguish the obtained clusters to the greatest extent and, accordingly, determine the differences between EU countries and can be considered as FIG, namely: “Researchers”, “GERD financed by business”, “Joint venture/strategic alliance deals”, “Software spending”, and “High-tech manufacturing”. This allows individual member states to prioritize the development of those indicators (i.e. FIG) that most determine their position in the EU and therefore improve their NIS. At the EU level, this will contribute to the complementarity of the NIS, overcome differences between member states and increase the overall level of convergence in innovation

    Tree diversity patterns along the latitudinal gradient in the northwestern Russia

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    Background One of the key forest characteristics is the biodiversity, particularly the diversity of trees which are forest ecosystem engineers. Nowadays the most worldwide common approach for assessment of forest conditions and dynamics is based on the systematic monitoring, performed at a set of regularly structured plots. To fulfill the existing gap in this sort of knowledge on the Russian forests, an extensive study of tree species diversity on a regular network was conducted in north-west of Russia. Methods The study used the ICP Forests monitoring network that spans over 1700 km along the western Russian border from forest-tundra in the north to broadleaved-coniferous forests in the south. Tree data were collected at 710 sites that were assigned along a regular grid. We performed series of statistical analyses of the tree species distribution and diversity in relation to environmental and anthropogenic factors. Results According to the Maxent species distribution modelling results only Pinus sylvestris, Betula sp. and Picea abies have the potential to grow throughout the study area. The locally maximum tree species diversity varies along the latitudinal gradient from 1 to 3 species in the north to 5–7 species in the south. Monocultural stands are relatively abundant across the study area, being especially common in the south taiga. The prevailing part of the monocultural stands is represented by Scots pine (72%). The age distribution of dominant trees has a clear connection with the intensity of forest use. We found that recent wildfire events had only little effect on tree diversity in the study area. Conclusions We demonstrated that ICP Forests monitoring network enables to successfully establish the main qualitative and quantitative relations of the spatial variation of tree species diversity to climatic, landscape, soil and anthropogenic factors. Analysis of the influence of these factors on tree species distribution allowed us to conclude that with the continuing trend of reducing the frequency and intensity of fires, Norway spruce will further replace Scots pine and Betula sp. in the north-western Russia. Extending the monitoring network, especially adding the time-series context, could provide novel appealing opportunities for forest dynamics projection and sustainable management.Peer reviewe

    Extremely short-length surface plasmon resonance sensors

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    The impact of the system design on the control of coupling between planar waveguide modes and surface plasmon polaritons (SPP) is analyzed. We examine how the efficiency of the coupling can be enhanced by an appropriate dimensioning of a multi-layer device structure without using additional gratings. We demonstrate that by proper design the length of the device can be dramatically reduced through fabrication a surface plasmon resonance sensor based on the SPP-photon transformation rather then on SPP dissipation

    New insights into antikaon-nucleon scattering and the structure of the Lambda(1405)

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    We perform a combined analysis of antikaon-nucleon scattering cross sections and the recent SIDDHARTA kaonic hydrogen data in the framework of a coupled-channel Bethe-Salpeter approach at next-to-leading order in the chiral expansion of the effective potential. We find a precise description of the antikaon-proton scattering amplitudes and are able to extract accurate values of the scattering lengths, a0=-1.81^+0.30_-0.28 + i 0.92^+0.29_-0.23 fm, a1=+0.48^+0.12_-0.11 + i 0.87^+0.26_-0.20 fm. We also discuss the two-pole structure of the Lambda(1405).Comment: 7 pages, 4 figure

    Synthesis and growth of rare earth borates NaSrR(BO3)2 (R = Ho− Lu, Y, Sc)

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    NaSrR(BO3)2(R = Ho-Lu, Y, Sc) compounds were obtained for the first time. Their structures exhibit disordered positions of Sr2+and Na+ atoms while RO6polyhedra are connected through the BO3 groups. Large distances between R atoms and high transparency in the range of 250-900 nm make them promising for phosphor applications. A pathway to obtain single crystals was shown by growing NaSrY(BO3)2and NaSrYb-(BO3)2by the top seeded solution growth method with Na2O-B2O3-NaFflux

    Search for exclusive photoproduction of Zc±(3900) at COMPASS

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    Les droits disciplinaires des fonctions publiques : « unification », « harmonisation » ou « distanciation ». A propos de la loi du 26 avril 2016 relative à la déontologie et aux droits et obligations des fonctionnaires

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    The production of tt‟ , W+bb‟ and W+cc‟ is studied in the forward region of proton–proton collisions collected at a centre-of-mass energy of 8 TeV by the LHCb experiment, corresponding to an integrated luminosity of 1.98±0.02 fb−1 . The W bosons are reconstructed in the decays W→ℓΜ , where ℓ denotes muon or electron, while the b and c quarks are reconstructed as jets. All measured cross-sections are in agreement with next-to-leading-order Standard Model predictions.The production of tt‟t\overline{t}, W+bb‟W+b\overline{b} and W+cc‟W+c\overline{c} is studied in the forward region of proton-proton collisions collected at a centre-of-mass energy of 8 TeV by the LHCb experiment, corresponding to an integrated luminosity of 1.98 ±\pm 0.02 \mbox{fb}^{-1}. The WW bosons are reconstructed in the decays W→ℓΜW\rightarrow\ell\nu, where ℓ\ell denotes muon or electron, while the bb and cc quarks are reconstructed as jets. All measured cross-sections are in agreement with next-to-leading-order Standard Model predictions

    Measurement of the top quark forward-backward production asymmetry and the anomalous chromoelectric and chromomagnetic moments in pp collisions at √s = 13 TeV

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    Abstract The parton-level top quark (t) forward-backward asymmetry and the anomalous chromoelectric (d̂ t) and chromomagnetic (Ό̂ t) moments have been measured using LHC pp collisions at a center-of-mass energy of 13 TeV, collected in the CMS detector in a data sample corresponding to an integrated luminosity of 35.9 fb−1. The linearized variable AFB(1) is used to approximate the asymmetry. Candidate t t ÂŻ events decaying to a muon or electron and jets in final states with low and high Lorentz boosts are selected and reconstructed using a fit of the kinematic distributions of the decay products to those expected for t t ÂŻ final states. The values found for the parameters are AFB(1)=0.048−0.087+0.095(stat)−0.029+0.020(syst),Ό̂t=−0.024−0.009+0.013(stat)−0.011+0.016(syst), and a limit is placed on the magnitude of | d̂ t| < 0.03 at 95% confidence level. [Figure not available: see fulltext.
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