3,834 research outputs found
Organisation and Development of the Legal Professionin Africa, in particular the ability of the Bar and judiciary to up hold the rights of both the citizen and the state
Organisation and Development of the Legal Professionin Africa, in particular the ability of the Bar and judiciary to up hold the rights of both the citizen and the stat
The Legal Status of Foreign Investments in the East African Common Market
One noticeable development in the field of International Economic Law during the last decade since the United Nations ushered in the new era of an economic world order has been the growing literature on the law of investments, especially in respect to developing economies. International Economic Law itself is a recent specialist off-shoot of general public international law, having been nurtured and popularized as a subject of separate university discipline in its own right within the last 30 years or so by Schwarzenberger among others. Notable, generally, among the specialized studies on international investments law are Worthley\u27s Expropriation in Public International Law and Schwarzenberger\u27s Foreign Investments and International Law, in which topics such as the expropriation and nationalization of foreign property as well as the appropriate treatment of such property in the place of its investment under customary international law are examined in detail.
The process of decolonization and the consequent emergence of the right of self-determination have focused the attention of students of international law on this new area, and studies like The Legal Problem of Foreign Investment in Developing Countries (1965) by Nwogugu began to appear. More specialized studies devoted to individual developing countries, such as Proehl\u27s Foreign Enterprise in Nigeria (1965) and Suckow\u27s Nigerian Law and Foreign Investments (1966) have since followed. If one were to regard the Market as an economic unit, Dr. Eze\u27s book, The Legal Status of Foreign Investments in the East African Common Market, would seem to belong to this genre
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Low temperatures impact species distributions of jumping spiders across a desert elevational cline.
Temperature is known to influence many aspects of organisms and is frequently linked to geographical species distributions. Despite the importance of a broad understanding of an animal's thermal biology, few studies incorporate more than one metric of thermal biology. Here we examined an elevational assemblage of Habronattus jumping spiders to measure different aspects of their thermal biology including thermal limits (CTmin, CTmax), thermal preference, V̇CO2 as proxy for metabolic rate, locomotor behavior and warming tolerance. We used these data to test whether thermal biology helped explain how species were distributed across elevation. Habronattus had high CTmax values, which did not differ among species across the elevational gradient. The highest-elevation species had a lower CTmin than any other species. All species had a strong thermal preference around 37 °C. With respect to performance, one of the middle elevation species was significantly less temperature-sensitive in metabolic rate. Differences between species with respect to locomotion (jump distance) were likely driven by differences in mass, with no differences in thermal performance across elevation. We suggest that Habronattus distributions follow Brett's rule, a rule that predicts more geographical variation in cold tolerance than heat. Additionally, we suggest that physiological tolerances interact with biotic factors, particularly those related to courtship and mate choice to influence species distributions. Habronattus also had very high warming tolerance values (> 20 °C, on average). Taken together, these data suggest that Habronattus are resilient in the face of climate-change related shifts in temperature
Supervised Learning in Multilayer Spiking Neural Networks
The current article introduces a supervised learning algorithm for multilayer
spiking neural networks. The algorithm presented here overcomes some
limitations of existing learning algorithms as it can be applied to neurons
firing multiple spikes and it can in principle be applied to any linearisable
neuron model. The algorithm is applied successfully to various benchmarks, such
as the XOR problem and the Iris data set, as well as complex classifications
problems. The simulations also show the flexibility of this supervised learning
algorithm which permits different encodings of the spike timing patterns,
including precise spike trains encoding.Comment: 38 pages, 4 figure
Re-theorizing the “Structure–Agency” Relationship: Figurational Theory, Organizational Change and the Gaelic Athletic Association
This article illustrates how the figurational sociology associated with Norbert Elias provides an alternative theoretical framework for explaining the relationship between, ‘individualorganization- society’ and organizational change, and in so doing transverses what is conceived as a false dichotomy between structure and agency. Through an historical case study of the Gaelic Athletic Association in Ireland, the ‘individual-organization-society’ relationship is conceptualized as overlapping figurations and organizational change is explained as figurational dynamics—the shifting social interdependencies between the individuals and groups comprising an organization, between that organization and other organizations, between social groups on a higher level of integration and competition. In tandem with this, the article illustrates how changes in the sources of power and identity are connected with these figurational dynamics
OB Stars in the Solar Neighborhood I: Analysis of their Spatial Distribution
We present a newly-developed, three-dimensional spatial classification
method, designed to analyze the spatial distribution of early type stars within
the 1 kpc sphere around the Sun. We propose a distribution model formed by two
intersecting disks -the Gould Belt (GB) and the Local Galactic Disk (LGD)-
defined by their fundamental geometric parameters. Then, using a sample of
about 550 stars of spectral types earlier than B6 and luminosity classes
between III and V, with precise photometric distances of less than 1 kpc, we
estimate for some spectral groups the parameters of our model, as well as
single membership probabilities of GB and LGD stars, thus drawing a picture of
the spatial distribution of young stars in the vicinity of the Sun.Comment: 28 pages including 9 Postscript figures, one of them in color.
Accepted for publication in The Astronomical Journal, 30 January 200
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