Texte remanié de: Thèse de doctorat--Histoire--Paris--EHESS, 1995. / En appendice, choix de documents. Bibliogr. p. 443-456. Glossaire. Index.

Magisterarbeit--Institut für Allgemeine und Vergleichende Literaturwissenschaft--Mainz--Johannes Gutenberg-Universität, 2005. / Bibliogr. p. 137-150.

Thèse de doctorat : Mathématiques : Paris 12 : 2005. / Titre provenant de l'écran-titre. Bibliogr. : 46 réf.

Thesis (B.S.) Magna Cum Laude--Butler University, 2009. / Includes bibliographical references (leaves 29-30).

Thèse Doctorat : Berlin : 1997. / Bibliogr. p. 194-220.

Thesis (M. Phil.)--University of Hong Kong, 1989.

It is imperative the public be made aware of major media policy decisions to help take part in and shape the industry that they rely on to be an informed citizenry in a democracy. However, in an increasingly concentrated media landscape where fewer owners control our channels of information and reign over a vast array of holdings, the system is firmly positioned to conceal or marginalize policy stories that negatively affect its business interests. This study explores mainstream TV news coverage of the controversial Stop Online Piracy Act or SOPA– legislation proposed to reduce counterfeit purchases online that came under fire from critics for potentially threatening the fabric of free expression on the Internet. By asking, “How much attention did major television news networks whose parent companies supported SOPA devote to the bill during their nightly broadcasts?” and “How much attention did major television news networks whose parent companies supported SOPA devote to the bill during their nightly broadcasts after the Internet Blackout protesting the Act?” it finds those networks whose parent companies sought to benefit from the Act’s passage failed to report on the legislation at crucial times before and after the SOPA debate. The results largely fall in line with the mainstream media– namely the broadcast industry’s– historical self-censorship of significant media policy stories. / text

This dissertation describes the investigation of the fouling of a reverse osmosis membrane under different operating conditions. A mass transfer model to predict the permeate flux decline is defined. These studies used kaolin clay and bentonite clay as the fouling particles. As the membranes, thin film Low fouling Composite 1 polyamide reverse osmosis flat sheet membranes were used. Baseline experiments using only kaolin in D.I. water were conducted. At an operating pressure of approximately 1,380 kPa, no flux decline was observed. These results established the effects of a membrane-particle interaction. For the fouling experiments with kaolin clay, experiments show a linear relationship between the mass of the deposited foulant layer and total permeate flux decline. The increased concentration of scale forming salts such as calcium chloride and sodium carbonate combined with clay particles has been found to increase flux decline. It also leads to the formation of a less porous cake layer on the membrane surface, which may be due to the particle surface charge. The increase in transmembrane pressure leads to the formation of a well compacted, less porous, cake layer on the membrane surface. The reduced porosity results in the deterioration of the permeate quality, which is a direct result of reduced back diffusion of the salt solution.A fouling model that combines a resistance-in-series model and a simplified-mass-transport relationship were used to predict the transient stage permeate flux of a reverse osmosis membrane. This model contains a constant which is a function of the operating condition and the ionic species in the feed solution. It was found that the results from the model agreed with the experimental results.

The objective of this research project was to develop a methodology to establish the potential of automated sorting for a minerals application. Such methodologies, have been developed for testwork in many established mineral processing disciplines. These techniques ensure that data is reproducible and that testing can be undertaken in a quick and efficient manner. Due to the relatively recent development of automated sorters as a mineral processing technique, such guidelines have yet to be established. The methodology developed was applied to two practical applications including the separation of a Ni/Cu sulphide ore. This experimentation also highlighted the advantages of multi-sensor sorting and illustrated a means by which sorters can be used as multi-output machines; generating a number of tailored concentrates for down-stream processing. This is in contrast to the traditional view of sorters as a simple binary, concentrate/waste pre-concentration technique. A further key result of the research was the emulation of expert-based training using unsupervised clustering techniques and neural networks for colour quantisation. These techniques add flexibility and value to sorters in the minerals industry as they do not require a trained expert and so allow machines to be optimised by mine operators as conditions vary. The techniques also have an advantage as they complete the task of colour quantisation in a fraction of the time taken for an expert and so lend themselves well to the quick and efficient determination of automated sorting for a minerals application. Future research should focus on the advancement and application of neural networks to colour quantisation in conjunction with tradition training methods Further to this research should concentrate on practical applications utilising a multi-sensor, multi-output approach to automated sorting.

Since the mid-1970s, subsidized housing policy in the U.S. has shifted from providing aid through public housing projects to providing aid through vouchers to be used in the private market and through smaller-scale, often mixed-income developments. These policy shifts are guided by a deconcentration ideology drawn from social science research on the deleterious effects of the concentration of poverty on individuals and neighborhoods. These changes in subsidized housing policy have led to a major geographic redistribution of the urban poor, which has implications for neighborhoods and cities that are not yet fully understood. This dissertation investigates the extent to which the changing location of subsidized housing units accounts for changes in neighborhood poverty and metropolitan poverty concentration. My findings show that while the subsidized housing policies adopted since the 1970s successfully deconcentrated subsidized housing units, they did not deconcentrate poverty in neighborhoods or metropolitan areas. I find that neighborhood poverty rates increase when neighborhoods either gain or lose subsidized housing units. Neighborhoods that gain more subsidized units see larger increases in poverty rates, and because these neighborhoods already have many poor residents, there is a risk of creating new neighborhoods of concentrated poverty. Surprisingly, neighborhoods that lose subsidized units also become poorer, suggesting an enduring legacy of subsidized housing for neighborhood poverty. At the metropolitan level, reducing the concentration of subsidized housing in high subsidy neighborhoods leads to only very small declines in the concentration of poor residents in high poverty neighborhoods. My results suggest that subsidized housing policy may maintain, rather than break, the cycle of neighborhood inequality. Subsidized housing policy is implemented in a context of neighborhood inequality, and as the policies increasingly rely on the private rental market, higher-SES neighborhoods’ interests in keeping low-income subsidized renters out may shape how the policy is implemented, leaving lower-SES neighborhoods to receive more subsidized low-income tenants and thus experience larger increases in poverty rates.