Universalism vs. Particularism: On the Limits of Major Power Order

Relations between major powers can be described as shifting between universalism and particularism. In periods of universalism, major powers try to work out acceptable rules of behavior among one another, whereas in periods of particularism, they emphasize special interests of special powers. The way historians see shifts in major power relations since 1816 largely follows such a classification. By comparing the policies pursued during four periods of universalism and four periods of particularism, as well as analysing what ended or initiated such periods, the limits of major power universalism can be evaluated. Particularly, the short-comings of the recent period of detente are illuminated. Also some principles for a more enduring form of universalism are suggested.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/68816/2/10.1177_002234338402100304.pd

Light propagation in statistically homogeneous and isotropic universes with general matter content

We derive the relationship of the redshift and the angular diameter distance to the average expansion rate for universes which are statistically homogeneous and isotropic and where the distribution evolves slowly, but which have otherwise arbitrary geometry and matter content. The relevant average expansion rate is selected by the observable redshift and the assumed symmetry properties of the spacetime. We show why light deflection and shear remain small. We write down the evolution equations for the average expansion rate and discuss the validity of the dust approximation.Comment: 42 pages, no figures. v2: Corrected one detail about the angular diameter distance and two typos. No change in result

Polar lipid derangements in type 2 diabetes mellitus: Potential pathological relevance of fatty acyl heterogeneity in sphingolipids

10.1007/s11306-013-0494-0Metabolomics94786-79

Hybridizing Cultural Algorithms and Local Search

Abstract. In this paper, we propose a new population-based framework for combining local search with global explorations to solve single-objective unconstrained numerical optimization problems. The idea is to use knowledge about local optima found during the search to a) locate promising regions in the search space and b) identify suitable step sizes to move from one optimum to others in each region. The search knowledge was maintained using a Cultural Algorithm-based structure, which is updated by behaviors of individuals and is used to actively guide the search. Some experiments have been carried out to evaluate the performance of the algorithm on well-known continuous problems. The test results show that the algorithm can get comparable or superior results to that of some current well-known unconstrained numerical optimization algorithms in certain classes of problems