1,103 research outputs found

    Studying use and risks of medicines in children: a European approach

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    In recent years there has been increasing awareness on the gap in knowledge on the safety and efficacy of medicines used in children. The work as described in this thesis is based on large observational studies across Europe and aimed to study the use and risks of medicines in children and adolescents. First we studied prescriptions patterns of several classes of medic

    Wildlife resources of the West African savanna

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    The wild fauna in Africa is a renewable resource and its overexploitation has led to the depletion of animal populations. This thesis focusses on the ecological characterization of the ungulate community of the West African savanna, with special reference to the Biosphere Reserve 'Boucle du Baoulé' in Mali, and makes a contribution to the ecological knowledge required for the conservation and management of West African savanna ecosystems.Part I contains background information on the environment of the West African savanna and its use by man, and it gives a description of the study area.Part II describes phenological patterns, production and quality for different groups of herbaceous plants, shrubs and trees and analyses the vegetation of the West African savanna as a source of food for the different ungulate species. Choice of habitat, diet composition, energy and protein requirements in relation to the metabolic weight of animal species are investigated as they are necessary for the analysis of the mechanisms of ecological separation of ungulates.In Part III the ecological carrying capacity of the West African savanna in the Baoulé is estimated by calculating dry-season stocking rates on the basis of the availability of quality forage. Results are compared with other approaches for the assessment of the ecological carrying capacity in the West African savanna zone and in other savanna ecosystems, elsewhere in Africa and in Australia.Using information on the ungulate community and the ecological carrying capacity of the West African savanna, in Part IV management options for the conservation and management of wild ungulate populations are suggested

    Introductory clifford analysis

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    In this chapter an introduction is given to Clifford analysis and the underlying Clifford algebras. The functions under consideration are defined on Euclidean space and take values in the universal real or complex Clifford algebra, the structure and properties of which are also recalled in detail. The function theory is centered around the notion of a monogenic function, which is a null solution of a generalized Cauchy–Riemann operator, which is rotation invariant and factorizes the Laplace operator. In this way, Clifford analysis may be considered as both a generalization to higher dimension of the theory of holomorphic functions in the complex plane and a refinement of classical harmonic analysis. A notion of monogenicity may also be associated with the vectorial part of the Cauchy–Riemann operator, which is called the Dirac operator; some attention is paid to the intimate relation between both notions. Since a product of monogenic functions is, in general, no longer monogenic, it is crucial to possess some tools for generating monogenic functions: such tools are provided by Fueter’s theorem on one hand and the Cauchy–Kovalevskaya extension theorem on the other hand. A corner stone in this function theory is the Cauchy integral formula for representation of a monogenic function in the interior of its domain of monogenicity. Starting from this representation formula and related integral formulae, it is possible to consider integral transforms such as Cauchy, Hilbert, and Radon transforms, which are important both within the theoretical framework and in view of possible applications

    CSNE: Conditional Signed Network Embedding

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    Signed networks are mathematical structures that encode positive and negative relations between entities such as friend/foe or trust/distrust. Recently, several papers studied the construction of useful low-dimensional representations (embeddings) of these networks for the prediction of missing relations or signs. Existing embedding methods for sign prediction generally enforce different notions of status or balance theories in their optimization function. These theories, however, are often inaccurate or incomplete, which negatively impacts method performance. In this context, we introduce conditional signed network embedding (CSNE). Our probabilistic approach models structural information about the signs in the network separately from fine-grained detail. Structural information is represented in the form of a prior, while the embedding itself is used for capturing fine-grained information. These components are then integrated in a rigorous manner. CSNE's accuracy depends on the existence of sufficiently powerful structural priors for modelling signed networks, currently unavailable in the literature. Thus, as a second main contribution, which we find to be highly valuable in its own right, we also introduce a novel approach to construct priors based on the Maximum Entropy (MaxEnt) principle. These priors can model the \emph{polarity} of nodes (degree to which their links are positive) as well as signed \emph{triangle counts} (a measure of the degree structural balance holds to in a network). Experiments on a variety of real-world networks confirm that CSNE outperforms the state-of-the-art on the task of sign prediction. Moreover, the MaxEnt priors on their own, while less accurate than full CSNE, achieve accuracies competitive with the state-of-the-art at very limited computational cost, thus providing an excellent runtime-accuracy trade-off in resource-constrained situations

    Ісламський фактор в міжнародних економічних відносинах: приклад ЄС і Турції

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    В роботі представлена спроба цілісного вивчення впливу культурних, соціальних, економічних і політичних факторів на процеси взаємовідносин Туреччини і ЄС, що дозволяє надати більш об'ємне й глибоке уявлення про соціально-політичні процеси в Туреччині і ЄС в контексті їх еволюції. Дана оцінка сучасного стану мусульманської діаспори в країнах ЄС з подальшою систематизацією даних. Зроблена авторська порівняльна характеристика процесів євроінтеграції України (у якої є свій «ісламський» фактор) і Туреччини і її систематизаці

    Reliability of the Multidimensional Pain Inventory and stability of the MPI classification system in chronic back pain

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    Contains fulltext : 109346.pdf (publisher's version ) (Open Access)ABSTRACT: BACKGROUND: This cross validation study examined the reliability of the Multidimensional Pain Inventory (MPI) and the stability of the Multidimensional Pain Inventory Classification System of the empirically derived subgroup classification obtained by cluster analysis in chronic musculoskeletal pain. Reliability of the German Multidimensional Pain Inventory was only examined once in the past in a small sample. Previous international studies mainly involving fibromyalgia patients showed that retest resulted in 33-38% of patients being assigned to a different Multidimensional Pain Inventory subgroup classification. METHODS: Participants were 204 persons with chronic musculoskeletal pain (82% chronic non-specific back pain). Subgroup classification was conducted by cluster analysis at 4 weeks before entry (=test) and at entry into the pain management program (=retest) using Multidimensional Pain Inventory scale scores. No therapeutic interventions in this period were conducted. Reliability was quantified by intraclass correlation coefficients (ICC) and stability by kappa coefficients (kappa). RESULTS: Reliability of the Multidimensional Pain Inventory scales was least with ICC = 0.57 for the scale life control and further ranged from ICC = 0.72 (negative mood) to 0.87 (solicitous responses) in the other scales. At retest, 82% of the patients in the Multidimensional Pain Inventory cluster interpersonally distressed (kappa = 0.69), 80% of the adaptive copers (kappa = 0.58), and 75% of the dysfunctional patients (kappa = 0.70) did not change classification. In total, 22% of the patients changed Multidimensional Pain Inventory cluster group, mainly into the adaptive copers subgroup. CONCLUSION: Test-retest reliability of the German Multidimensional Pain Inventory was moderate to good and comparable to other language versions. Multidimensional Pain Inventory subgroup classification is substantially stable in chronic back pain patients when compared to other diagnostic groups and other examiner-based subgroup Classification Systems. The MPI Classification System can be recommended for reliable and stable specification of subgroups in observational and interventional studies in patients with chronic musculoskeletal pain
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