2 resultados para Florentiner Codex
em Aston University Research Archive
Resumo:
One fundamental question raised by the philosophical works of Maurice Blondel, which were published over a long life, is that of the relation between his early masterpiece L’Action (1893) and the volume of the same name—more precisely, its second tome L’Action humaine et les conditions de son aboutissement (1937)—forming part of the Trilogy of his later years (La Pensée; L’Être et les êtres; L’Action). The treatment of the nature of international relations in the work of 1937 is more developed than that found in L’Action of 1893. For understanding the development of Blondel’s thought on this matter, the key text is "Patrie et Humanité", a paper prepared for the 1928 annual meeting, held in Paris, of the Catholic Semaine sociale movement. It brings out the affinity between his understanding of international relations and that represented by such established thinkers in the canon of international thought as Vitoria and Suarez (in the case of the latter, despite some radical difference in respect of metaphysics). Not surprisingly from the standpoint of the genesis of Blondel’s philosophy, there is also a certain affinity between his view of the importance of justice for international affairs and that of Leibniz (notably in the preface of the Codex Juris Gentium, 1693). Various specialists treating of Blondel’s philosophy have drawn attention to parallels between the phenomenology of the will in L’Action of 1893 and Hegel’s Phänomenologie des Geistes. However, as regards the two philosophers’ understanding of the nature of international relations, there is a considerable gulf, and some of the difference may be related to the Hegelian idea of the Christian Church as found, at least implicitly, in the Grundlinien der Philosophie des Rechts (1821).
Resumo:
Background: Allergy is a form of hypersensitivity to normally innocuous substances, such as dust, pollen, foods or drugs. Allergens are small antigens that commonly provoke an IgE antibody response. There are two types of bioinformatics-based allergen prediction. The first approach follows FAO/WHO Codex alimentarius guidelines and searches for sequence similarity. The second approach is based on identifying conserved allergenicity-related linear motifs. Both approaches assume that allergenicity is a linearly coded property. In the present study, we applied ACC pre-processing to sets of known allergens, developing alignment-independent models for allergen recognition based on the main chemical properties of amino acid sequences.Results: A set of 684 food, 1,156 inhalant and 555 toxin allergens was collected from several databases. A set of non-allergens from the same species were selected to mirror the allergen set. The amino acids in the protein sequences were described by three z-descriptors (z1, z2 and z3) and by auto- and cross-covariance (ACC) transformation were converted into uniform vectors. Each protein was presented as a vector of 45 variables. Five machine learning methods for classification were applied in the study to derive models for allergen prediction. The methods were: discriminant analysis by partial least squares (DA-PLS), logistic regression (LR), decision tree (DT), naïve Bayes (NB) and k nearest neighbours (kNN). The best performing model was derived by kNN at k = 3. It was optimized, cross-validated and implemented in a server named AllerTOP, freely accessible at http://www.pharmfac.net/allertop. AllerTOP also predicts the most probable route of exposure. In comparison to other servers for allergen prediction, AllerTOP outperforms them with 94% sensitivity.Conclusions: AllerTOP is the first alignment-free server for in silico prediction of allergens based on the main physicochemical properties of proteins. Significantly, as well allergenicity AllerTOP is able to predict the route of allergen exposure: food, inhalant or toxin. © 2013 Dimitrov et al.; licensee BioMed Central Ltd.