The European Power Hierarchy, Member State Trust, and Public Support for the Common Security and Defense Policy. Jean Monnet/Robert Schuman Paper Series Vol. 15 No. 2, August 2015

Existing studies focus on overall support for European integration while less work has been done on explaining public opinion on specific policy areas, such as the development of the Common Security and Defense Policy (CSDP). We hypothesize that the probability of supporting a CSDP increases with greater levels of trust in the European Union member states, most notably the more powerful members. This variable is critical since integration’s development is influenced strongly by, and dependent on, the resources of the relatively more powerful European member states. Binary logistic regression analyses using pooled repeated cross-sectional data from the Eurobarometer surveys conducted from 1992 to 1997 among individuals of 11 member states largely support these claims.

Fifteenth census of the United States. Census of distribution. Wholesale trade bulletin (State series) ... Statistics for the state and cities of 5,000 population and over .

At head of title: U. S. Department of commerce. R. P. Lamont, secretary. Bureau of the census. W. M. Steuart, director.

Mixed human saliva, its variations in composition and amylolytic power and the action of its freed enzyme, a series of observations and experiments from a chemical standpoint; submitted in partial fulfillment of the requirements for the degree of M.S. [in the] University of California.

Type-written manuscript.

Remarks on canal navigation : illustrative of the advantages of the use of steam, as a moving power on canals : With an appendix, containing a series of experiments, tables, &c. on which a number of proposed improvements are founded : Also, plans and descriptions of certain classes of steam boats, intended for the navigation of canals, and the adjoining branches of the sea /

On plates: H.G. James's Lithography, 9 Ridge Field, Manchester.

Report on the exploratory series of tests on longitudinal distribution of stresses in reinforcing bars. A cooperative project between the American Iron and Steel Institute and Cornell University.

"Not for public release."

My dear Wells, being a series of letters addressed by Henry Arthur Jones to Mr. H.G. Wells, upon bolshevism, collectivism, internationalism, and the distribution of wealth.

"Publisher's Note" (19 p.) laid in.

Electric power supply and distribution.

Cover title.

Distribution of power revenues : hearings ... Seventy-third Congress, second session.

Mode of access: Internet.

Investigation of concentration of economic power. Temporary National Economic Committee. Final report of the executive secretary to the Temporary National Economic Committee on the concentration of economic power in the United States pursuant to Public Resolution no. 113 (Seventy-fifth Congress) authorizing and directing a select committee to make a full and complete study and investigation with respect to the concentration of economic power in, and financial control over, production and distribution of goods and services ...

By Dewey Anderson, executive secretary.

Time-series Luminance Distribution Maps: implementation of annual daylight simulation methods for occupant visual comfort analysis

Thesis (Master's)--University of Washington, 2016-06

Influence of charge size distribution on net-power draw of tumbling mill based on DEM modelling

Modelling and optimization of the power draw of large SAG/AG mills is important due to the large power draw which modern mills require (5-10 MW). The cost of grinding is the single biggest cost within the entire process of mineral extraction. Traditionally, modelling of the mill power draw has been done using empirical models. Although these models are reliable, they cannot model mills and operating conditions which are not within the model database boundaries. Also, due to its static nature, the impact of the changing conditions within the mill on the power draw cannot be determined using such models. Despite advances in computing power, discrete element method (DEM) modelling of large mills with many thousands of particles could be a time consuming task. The speed of computation is determined principally by two parameters: number of particles involved and material properties. The computational time step is determined by the size of the smallest particle present in the model and material properties (stiffness). In the case of small particles, the computational time step will be short, whilst in the case of large particles; the computation time step will be larger. Hence, from the point of view of time required for modelling (which usually corresponds to time required for 3-4 mill revolutions), it will be advantageous that the smallest particles in the model are not unnecessarily too small. The objective of this work is to compare the net power draw of the mill whose charge is characterised by different size distributions, while preserving the constant mass of the charge and mill speed. (C) 2004 Elsevier Ltd. All rights reserved.

A cognitive genetic algorithm for power distribution system planning

Power systems are large scale nonlinear systems with high complexity. Various optimization techniques and expert systems have been used in power system planning. However, there are always some factors that cannot be quantified, modeled, or even expressed by expert systems. Moreover, such planning problems are often large scale optimization problems. Although computational algorithms that are capable of handling large dimensional problems can be used, the computational costs are still very high. To solve these problems, in this paper, investigation is made to explore the efficiency and effectiveness of combining mathematic algorithms with human intelligence. It had been discovered that humans can join the decision making progresses by cognitive feedback. Based on cognitive feedback and genetic algorithm, a new algorithm called cognitive genetic algorithm is presented. This algorithm can clarify and extract human's cognition. As an important application of this cognitive genetic algorithm, a practical decision method for power distribution system planning is proposed. By using this decision method, the optimal results that satisfy human expertise can be obtained and the limitations of human experts can be minimized in the mean time.