1,294 research outputs found
An analysis of the relationship between the international economic-legal regime and the achievement of balanced and stable growth through the international economic cycle
The global economy is controlled by an 'international economic–legal regime' (hereinafter
"IELR"), in which international economic institutions (hereinafter "IEIs") are the major nonstate
actors. They provide the rules of the game for the interaction of the States in an
international economic scenario. These IEIs, through their institutional capacity, enhance
certainty and predictability within the IELR, thereby passively supporting stable and a balanced
growth of global economy.
This thesis argues that opportunities to achieve stable and balanced growth, in which both the
financial and the real side of the economy grow, can be improved if the IEIs increase their focus
on the relationship between the Economic Cycle and the IEIs' institutional role. This argument
is developed by analysing the relationship between the IEIs' institutional role and the Economic
Cycle, first describing the Economic Cycle, and then clarifying the functioning of the IEIs in
their institutional role. To narrow the scope of this research, this thesis takes two IEIs as case
studies; namely, the IMF and the WTO
Narayanella, a new name for Narayana Subba Rao (hymenoptera : mymaridae)
The name Narayana was applied (Subba Rao, 1976) to a genus erected for the new species N. pilipes reared from the gaUs of Lagerstoemia flos reginae. Unfortunately the author overlooked the vulid and prior use of Narayana by Distant (1908). Narayana Distant was erected with rusticitatus as type-species (Issidae: Homoptera). Hence Narayana Subba Rao is a junior homonym which has to be replaced according to the rules of the International Zoological Nomenclature
Sensor Selection for Angle of Arrival Estimation Based on the Two-Target Cramér-Rao Bound
Sensor selection is a useful method to help reduce data throughput, as well as computational, power, and hardware requirements, while still maintaining acceptable performance. Although minimizing the Cramér-Rao bound has been adopted previously for sparse sensing, it did not consider multiple targets and unknown source models. In this work, we propose to tackle the sensor selection problem for angle of arrival estimation using the worst-case Cramér-Rao bound of two uncorrelated sources. To do so, we cast the problem as a convex semi-definite program and retrieve the binary selection by randomized rounding. Through numerical examples related to a linear array, we illustrate the proposed method and show that it leads to the natural selection of elements at the edges plus the center of the linear array. This contrasts with the typical solutions obtained from minimizing the single-target Cramér-Rao bound.Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Signal Processing System
An introduction to granular flow / K. Kesava Rao, Prabhu R. Nott.
engineering bookfair2015Includes bibliographical references (p. 463-482) and index.xxi, 490 pages :This book describes theories for granular flow based on continuum models and alternative discrete models
Buoyancy considerations in a fluidized bed of ground particles:
The research conducted for this thesis determines and quantifies the forces acting on a large submerged object in a gas-solid fluidized bed of Geldart A ground particles at the onset of bubbling. In particular, the additional load from the previously reported de-fluidized region of particles found above submerged objects in fluidized beds is quantified. A force model was developed and comparisons between this and the experimental data yielded properties of the de-fluidized region, such as the shape and height of the hood, and the angle to which it rises. Drag is measured by comparing forces on objects of different geometries subject to the same conditions. Buoyancy was measured by summing the pressure force acting to push the submerged object out of the bed and the counteracting pressure force of the bed over the submerged object pushing it deeper into the bed. The de-fluidized region is found to have a significant impact on the buoyancy of the object by creating an additional weight force above the object thus increasing the pressure in this region. Explanations for the hood shape and size are made through phenomenological results obtained through visual observations. Particle transport through voidage collapses at the surface, i.e. “bubbling”, create a secondary particle circulation within the bed adding particles to the top of the hood. The size of the bubbles appears to determine the extent of the hood.M.S.Includes bibliographical references (p. 78-79)by Prakash R. Ra
The Country-Product-Dummy Method: A Stochastic Approach to the Computation of Purchasing Power Parities in the ICP
A paper for presentation at the SSHRC Conference on Index Numbers and Productivity Measurement to be held during 30 June � 3 July, 2004 in Vancouver. The author wishes to thank Bettina Aten, Erwin Diewert, Alan Heston, Chris O�Donnell and Marcel Timmer for helpful discussions on the subject matter of this paper.
Mating system of Ophiopogon xylorrhizus (Liliaceae), an endangered species in southwest China
The mating system of Ophiopogon xylorrhizus Wang et Dai was studied in three natural populations with allozyme electrophoresis. The outcrossing rate was estimated by assaying eight enzyme loci. A mixed mating system model was used, and outcrossing rates were estimated for populations and families. The multilocus outcrossing rates in three populations were 0.467, 0.323, and 0.091. The extent of outcrossing in populations depended on the plant density (r = 0.9998; P < 0.02; df = 1). The frequency distribution of family outcrossing rates was slightly bimodal. A mixed mating system with considerable complete selfing and complete outcrossing was found in this species. Positive correlations were observed between family outcrossing rate and maternal heterozygosity (r = 0.70-0.98) and between family outcrossing rate and fecundity (r = 0.971; P < 0.0005; df = 7). Inbreeding depression was examined in populations P3 and P4, both of which had high outcrossing rates. Inbreeding depression was expressed mainly in seed production. Mating system pattern contributed to the high genetic variation in this species. Because of high inbreeding depression and habitat destruction, this species is threatened with extinction. Conservation in situ by protecting the habitat is the best way to conserve this species.Plant SciencesSCI(E)7ARTICLE3440-44515
Detection of image structures using the Fisher information and the Rao metric
In many detection problems, the structures to be detected are parameterized by the points of a parameter space. If the conditional probability density function for the measurements is known, then detection can be achieved by sampling the parameter space at a finite number of points and checking each point to see if the corresponding structure is supported by the data. The number of samples and the distances between neighboring samples are calculated using the Rao metric on the parameter space. The Rao metric is obtained from the Fisher information which is, in turn, obtained from the conditional probability density function. An upper bound is obtained for the probability of a false detection. The calculations are simplified in the low noise case by making an asymptotic approximation to the Fisher information. An application to line detection is described. Expressions are obtained for the asymptotic approximation to the Fisher information, the volume of the parameter space, and the number of samples. The time complexity for line detection is estimated. An experimental comparison is made with a Hough transform-based method for detecting lines
Scientometric Dimensions of Innovation Communication Productivity of the Chemistry Division at Bhabha Atomic Research Centre
Scientrometric analysis of 1733 papers published by the teams comprising total of 926 participating scientists at Chemistry Division of Bhabha Atomic Research Centre (BARC) during 1970-1999 in the domains: Radiation & Photochemistry and Chemical Dynamics (649), Solid State Studies (558), Inorganic, Structural and Materials Chemistry (460) and Theoretical Chemistry (66) were analysed for yearwise productivity, authorship pattern and collaboration. The highest number of publicationsin a year were 98 and 104 produced in 1989 and 1996 respectively. Average number of publications per year were 57.76. Highest collaboration coefficient 1.0 was in 1977 and 1999.
The authors with most prolific publications were J. P. Mittal (204), R. M. Iyer (190), J. V. Yakhmi (156), V. K. Jain (106), Hari Mohan (96), K. N. Rao (92), I. K. Gopalakrishnan (80), P. N. Moorthy (78), T. Mukherjee (77), and S. K. Kulshreshtha (74).
The core journals preferred for publishing with high number of publications were: Indian Journal of chemistry - A (96), Radiation Physics and Chemistry (92), Chemical Physics Letters (67), Journal of Physical Chemistry (59) and Indian Journal of Chemistry (45). Publication concentration was (28.57%) and publication density was (5.48). Top ranking journals publishing chemistry division,BARC publications were from UK (471), India (326), The Netherlands (302), USA (277) and Switzerland (104)
Author Co-Citation Analysis (ACA): a powerful tool for representing implicit knowledge of scholar knowledge workers
In the last decade, knowledge has emerged as one of the most important and valuable organizational assets. Gradually this importance caused to emergence of new discipline entitled ―knowledge management‖. However one of the major challenges of knowledge management is conversion implicit or tacit knowledge to explicit knowledge. Thus Making knowledge visible so that it can be better accessed, discussed, valued or generally managed is a long-standing objective in knowledge management. Accordingly in this paper author co- citation analysis (ACA) will be proposed as an efficient technique of knowledge visualization in academia (Scholar knowledge workers)
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