222 research outputs found
Transforming Accra towards a Sustainable Future: Comprehensive Land Use Planning and the Greater Accra Urban Simulation System (GAUSS)
The urbanization of Sub-Saharan Africa is occurring more rapidly than in any other region in the world, at a historically unprecedented absolute rate of increase, within an institutional framework desperately lacking in resources. In step with its Sub-Saharan location, Ghana is experiencing unprecedented urbanization with currently 50% of its 23 million people living in urban areas; that share is expected to become 65% by 2030. The lion’s share of this growth is taking place in the administrative and commercial center, Accra, which has a population of more than three million people. It is exhibiting a growth rate in excess of 4% per year and is expected to double its population within 16 years
The Impact of Demographic Change on the Accessibility to Public Services for the Elderly on Children of Hannover, Germany
Late in 2009, the German government conducted an exercise to determine population trends for the next 50 years. This study indicated that the German population, which is approximately 82 million, is expected to decrease by 12 to 17 million people as well as experience a significant shift in its demographic profile (Statitistisches Bundesamt, 2009). The most significant finding from this exercise is the projection for a shift in the share of senior citizens and children with respect to the economically active population; children and seniors are expected to account for half of the entire population of Germany, whereas they currently only represent 40%. Additionally, the ratio of senior citizens to children is expected to increase to 2:1 by the year 2040, indicating a trend towards an ageing population. With this expected declining population and changes in the age pyramid, a renewed focus on planning for future investments has been initiated with an eye on effective and efficient resource allocation of social services
Simulation a Close-to-Reality Synthetic Population of the Greater Accra Region
The purpose of this research is to simulate a synthetic population of the Greater Accra Metropolitan Region (GAMA) from the 2005 Ghana Living Standards Survey (GLSS5) for use in the Greater Accra Urban Simulation System (GAUSS). A primary goal in simulating the synthetic population of GAMA is to employ a method which generates close-to-reality population data rather than repeatedly drawing samples. In order to generate close-to-reality synthetic data, combinations which were not represented in the original household survey but are likely to occur in the true population must occur in the synthetically generated data. The author estimates the conditional distributions with multinomial logistic regression models in order to simulate categorical and continuous variables. The simulation of random zeros as opposed to structural zeros, are also reflected in the synthetically generated Greater Accra population. One of the main purposes for avoiding pure replication of units from the underlying sample is because this generally leads to small variability of units within smaller subgroups, which results in an increase in unrealistic model behavior when population data is used as input for agent-based simulations of urban dynamics
Nurses\u27 Alumnae Association Bulletin, April 1959
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Alumni Association Bulletin of the School of Nursing, 1976
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The Naturalized Gender Order Of Rock and Roll
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/66933/2/10.1177_019685999501900104.pd
Socio-cognitive determinants of consumers’ support for the fair trade movement
Despite the reasonable explanatory power of existing models of consumers’ ethical decision making, a large part of the process remains unexplained. This article draws on previous research and proposes an integrated model that includes measures of the theory of planned behavior, personal norms, self-identity, neutralization, past experience, and attitudinal ambivalence. We postulate and test a variety of direct and moderating effects in the context of a large survey with a representative sample of the U.K. population. Overall, the resulting model represents an empirically robust and holistic attempt to identify the most important determinants of consumers’ support for the fair-trade movement. Implications and avenues for further research are discussed
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