893 resultados para trajectory of immigrants


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Tree islands are an important structural component of many graminoid-dominated wetlands because they increase ecological complexity in the landscape. Tree island area has been drastically reduced with hydrologic modifications within the Everglades ecosystem, yet still little is known about the ecosystem ecology of Everglades tree islands. As part of an ongoing study to investigate the effects of hydrologic restoration on short hydroperiod marshes of the southern Everglades, we report an ecosystem characterization of seasonally flooded tree islands relative to locations described by variation in freshwater flow (i.e. locally enhanced freshwater flow by levee removal). We quantified: (1) forest structure, litterfall production, nutrient utilization, soil dynamics, and hydrologic properties of six tree islands and (2) soil and surface water physico-chemical properties of adjacent marshes. Tree islands efficiently utilized both phosphorus and nitrogen, but indices of nutrient-use efficiency indicated stronger P than N limitation. Tree islands were distinct in structure and biogeochemical properties from the surrounding marsh, maintaining higher organically bound P and N, but lower inorganic N. Annual variation resulting in increased hydroperiod and lower wet season water levels not only increased nitrogen use by tree species and decreased N:P values of the dominant plant species (Chrysobalanus icaco), but also increased soil pH and decreased soil temperature. When compared with other forested wetlands, these Everglades tree islands were among the most nutrient efficient, likely a function of nutrient immobilization in soils and the calcium carbonate bedrock. Tree islands of our study area are defined by: (1) unique biogeochemical properties when compared with adjacent short hydroperiod marshes and other forested wetlands and (2) an intricate relationship with marsh hydrology. As such, they may play an important and disproportionate role in nutrient and carbon cycling in Everglades wetlands. With the loss of tree islands that has occurred with the degradation of the Everglades system, these landscape processes may have been altered. With this baseline dataset, we have established a long-term ecosystem-scale experiment to follow the ecosystem trajectory of seasonally flooded tree islands in response to hydrologic restoration of the southern Everglades.

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Immigrants from Jamaica represent the largest number of migrants to the United States from the English speaking Caribbean. Research indicates that of all Caribbean immigrants they are most likely to retain the ethnic identity of their home country for the longest period of time. This dissertation explored the nature of ethnic identity and sought to determine its impact upon the additional variables of self-esteem and academic factors. A secondary analysis was carried out using data collected in the Spring of 1992 by Portes and Rumbaut on the children of immigrants attending the eighth and ninth grades in local schools in San Diego and southern Florida. A sample of 151 second-generation Jamaican immigrants was selected from the data set. ^ Six hypotheses yielded mixed results. Both parents who have a Jamaican ethnic identity present in the household are the best predictor Jamaican youth who retain a Jamaican ethnic identity. It was expected that ethnic identity would be a predictor of positive academic factors. The study showed that ethnic identity was not associated with one of the academic factors which were examined: help given with homework. ^ Neither family economic status nor parents' level of education played a significant role in the retention of Jamaican identity. Other findings were that there was no mean difference in the self-esteem scores of respondents who had similar ethnic identities to their parents and those who did not. There was also no difference found in the academic factors of either group. The study also showed that there was a small correlation between parent-child conflict and self-esteem. Specifically, the study found that the higher the conflict between youth and their parents, the lower the self-esteem of the youth. Finally it found that time lived in the U.S. was the best predictor of a higher GPA and it was also related to lower self-esteem. ^ Surprisingly, the study found that the relationship between ethnic identity and SES was the opposite of what was expected in that it found that SES was higher when there was no Jamaican identity. ^

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The links created between Florida and the Bahamas from 1780 to 1900 constituted a major influence in the evolution of a unique society. This dissertation adds to the understanding of this topic by using primary sources and architecture to follow the odyssey of the people who shaped this region. Building on the historiography which examined each area separately, this work focused on the ties forged in the interactions between Florida and the Bahamas. Following the immigrants who shaped Florida and the Bahamas, this work examines cultural holdovers which influenced this region during times of demographic flux. Aesthetic preferences stood out as one way that people maintained connections to their past. The use of architecture as a lens to view this process provides a concrete example of this phenomenon. The societies of Florida and the Bahamas remained intertwined during the late eighteenth and early nineteenth centuries. Forced migrations shaped the trajectory of the evolution of a distinctive culture in these areas bordered by the Gulfstream. This dissertation proves that the links forged between these societies reinforced the patterns which endured throughout the maturation of this area.

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Social capital, or social cohesion or group connectedness, can influence both HIV risk behavior and substance use. Because recent immigrants undergo a change in environment, one of the consequences can be a change in social capital. There may be an association among changes in social capital, and HIV risk behavior and substance use post immigration. The dissertation focused on the interface of these three variables among recent Latino immigrants (RLIs) in South Florida. The first manuscript is a systematic review of social capital and HIV risk behavior, and served as a partial background for the second and third manuscripts. Twelve papers with a measure of social capital as an independent variable and HIV risk as the dependent variable were included in the analysis. Eleven studies measured social capital at the individual level, and one study measured social capital at the group level. HIV risk was influenced by social capital, but the type of influence was dependent on the type of social capital and on the study population. Cognitive social capital, or levels of collective action, was protective against HIV in both men and women. The role of structural social capital, or levels of civic engagement/group participation, on HIV risk was dependent on the type of structural social capital and varied by gender. Microfinance programs and functional group participation were protective for women, while dysfunctional group participation and peer-level support may have increased HIV risk among men. The second manuscript was an original study assessing changes in social capital and HIV risk behavior pre to post immigration among RLIs in South Florida (n=527). HIV risk behavior was assessed through the frequency of vaginal-penile condom use, and the number of sexual partners. It was a longitudinal study using secondary data analysis to assess changes in social capital and HIV risk behavior pre immigration to two years post immigration, and to determine if there was a relationship between the two variables. There was an 8% decrease in total social capital (p < .05). Reporting of 'Never use' of condoms in the past 90 days increased in all subcategories (p < .05). Single men had a decrease in number of sexual partners (p < .05). Lower social capital measured on the dimension of 'friend and other' was marginally associated with fewer sexual partners. The third manuscript was another original study looking at the association between social capital and substance use among RLIs in South Florida (n=527). Substance use with measured by frequency of hazardous alcoholic drinking, and illicit drug use. It was a longitudinal study of social capital and substance-use from pre to two years post immigration. Post-immigration, social capital, hazardous drinking and illicit drug use decreased (p<.001). After adjusting for time, compared to males, females were less likely to engage in hazardous drinking (OR=.31, p<.001), and less likely to engage in illicit drug use (OR=.67, p=.01). Documentation status was a moderator between social capital and illicit drug use. 'Business' and 'Agency' social capital were associated with changes in illicit drug use for documented immigrants. After adjusting for gender and marital status, on average, documented immigrants with a one-unit increase in 'business' social capital were 1.2 times more likely to engage in illicit drug use (p<.01), and documented immigrants with one-unit increase in 'agency' social capital were 38% less likely to engage in illicit drug use (p<.01). 'Friend and other' social capital was associated with a decrease in illicit drug use among undocumented immigrants. After adjusting for gender and marital status, on average, undocumented immigrants with a one-unit increase in 'friend and other' social capital were 45% less likely to engage in hazardous drinking and 44% less likely to use illicit drugs (p<.01, p<.05). Studying these three domains is relevant because HIV continues to be a public health issue, particularly in Miami-Dade County, which is ranked among other U.S. regions with high rates of HIV/AIDS prevalence. Substance use is associated with HIV risk behavior; in most studies, increased substance use is associated with increased chances of HIV risk behavior. Immigration, which is the hypothesized catalyst for the change in social capital, has an impact on the dynamic of a society. Greater immigration can be burdensome on the host country's societal resources; however immigrants are also potentially a source of additional skilled labor for the workforce. Therefore, successful adaption of immigrants can have a positive influence on receiving communities. With Florida being a major receiver of immigrants to the U.S, this dissertation attempts to address an important public health issue for South Florida and the U.S. at large.

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Every space launch increases the overall amount of space debris. Satellites have limited awareness of nearby objects that might pose a collision hazard. Astrometric, radiometric, and thermal models for the study of space debris in low-Earth orbit have been developed. This modeled approach proposes analysis methods that provide increased Local Area Awareness for satellites in low-Earth and geostationary orbit. Local Area Awareness is defined as the ability to detect, characterize, and extract useful information regarding resident space objects as they move through the space environment surrounding a spacecraft. The study of space debris is of critical importance to all space-faring nations. Characterization efforts are proposed using long-wave infrared sensors for space-based observations of debris objects in low-Earth orbit. Long-wave infrared sensors are commercially available and do not require solar illumination to be observed, as their received signal is temperature dependent. The characterization of debris objects through means of passive imaging techniques allows for further studies into the origination, specifications, and future trajectory of debris objects. Conclusions are made regarding the aforementioned thermal analysis as a function of debris orbit, geometry, orientation with respect to time, and material properties. Development of a thermal model permits the characterization of debris objects based upon their received long-wave infrared signals. Information regarding the material type, size, and tumble-rate of the observed debris objects are extracted. This investigation proposes the utilization of long-wave infrared radiometric models of typical debris to develop techniques for the detection and characterization of debris objects via signal analysis of unresolved imagery. Knowledge regarding the orbital type and semi-major axis of the observed debris object are extracted via astrometric analysis. This knowledge may aid in the constraint of the admissible region for the initial orbit determination process. The resultant orbital information is then fused with the radiometric characterization analysis enabling further characterization efforts of the observed debris object. This fused analysis, yielding orbital, material, and thermal properties, significantly increases a satellite's Local Area Awareness via an intimate understanding of the debris environment surrounding the spacecraft.

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Ecosystem management practices that modify the major drivers and stressors of an ecosystem often lead to changes in plant community composition. This paper examines how closely the trajectory of vegetation change in seasonally-flooded wetlands tracks management-induced alterations in hydrology and soil characteristics. We used trajectory analysis, a multivariate method designed to test hypotheses about rates and directions of community change, to examine vegetation shifts in response to changes in water management practices within the Taylor Slough basin of Everglades National Park. We summarized vegetation data by non-metric multidimensional scaling ordination, and examined the time trajectory of each site along environmental vectors representing hydrology and soil phosphorus gradients. In the Taylor Slough basin, vegetation change trajectories closely followed the hydrologic changes caused by the operation of water pumps and detention ponds adjacent to the canals. We also observed a shift in vegetation composition along a vector of increasing soil phosphorus, which suggests the need for implementing measures to avoid P-enrichment in southern Everglades marl prairies. This study indicates that shifts in vegetation composition in response to changes in hydrologic conditions and associated parameters may be detected through trajectory analysis, thereby providing feedback for adaptive management of wetland ecosystems.

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The goal of this study was to develop Multinomial Logit models for the mode choice behavior of immigrants, with key focuses on neighborhood effects and behavioral assimilation. The first aspect shows the relationship between social network ties and immigrants’ chosen mode of transportation, while the second aspect explores the gradual changes toward alternative mode usage with regard to immigrants’ migrating period in the United States (US). Mode choice models were developed for work, shopping, social, recreational, and other trip purposes to evaluate the impacts of various land use patterns, neighborhood typology, socioeconomic-demographic and immigrant related attributes on individuals’ travel behavior. Estimated coefficients of mode choice determinants were compared between each alternative mode (i.e., high-occupancy vehicle, public transit, and non-motorized transport) with single-occupant vehicles. The model results revealed the significant influence of neighborhood and land use variables on the usage of alternative modes among immigrants. Incorporating these indicators into the demand forecasting process will provide a better understanding of the diverse travel patterns for the unique composition of population groups in Florida.

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X-ray computed tomography (CT) imaging constitutes one of the most widely used diagnostic tools in radiology today with nearly 85 million CT examinations performed in the U.S in 2011. CT imparts a relatively high amount of radiation dose to the patient compared to other x-ray imaging modalities and as a result of this fact, coupled with its popularity, CT is currently the single largest source of medical radiation exposure to the U.S. population. For this reason, there is a critical need to optimize CT examinations such that the dose is minimized while the quality of the CT images is not degraded. This optimization can be difficult to achieve due to the relationship between dose and image quality. All things being held equal, reducing the dose degrades image quality and can impact the diagnostic value of the CT examination.

A recent push from the medical and scientific community towards using lower doses has spawned new dose reduction technologies such as automatic exposure control (i.e., tube current modulation) and iterative reconstruction algorithms. In theory, these technologies could allow for scanning at reduced doses while maintaining the image quality of the exam at an acceptable level. Therefore, there is a scientific need to establish the dose reduction potential of these new technologies in an objective and rigorous manner. Establishing these dose reduction potentials requires precise and clinically relevant metrics of CT image quality, as well as practical and efficient methodologies to measure such metrics on real CT systems. The currently established methodologies for assessing CT image quality are not appropriate to assess modern CT scanners that have implemented those aforementioned dose reduction technologies.

Thus the purpose of this doctoral project was to develop, assess, and implement new phantoms, image quality metrics, analysis techniques, and modeling tools that are appropriate for image quality assessment of modern clinical CT systems. The project developed image quality assessment methods in the context of three distinct paradigms, (a) uniform phantoms, (b) textured phantoms, and (c) clinical images.

The work in this dissertation used the “task-based” definition of image quality. That is, image quality was broadly defined as the effectiveness by which an image can be used for its intended task. Under this definition, any assessment of image quality requires three components: (1) A well defined imaging task (e.g., detection of subtle lesions), (2) an “observer” to perform the task (e.g., a radiologists or a detection algorithm), and (3) a way to measure the observer’s performance in completing the task at hand (e.g., detection sensitivity/specificity).

First, this task-based image quality paradigm was implemented using a novel multi-sized phantom platform (with uniform background) developed specifically to assess modern CT systems (Mercury Phantom, v3.0, Duke University). A comprehensive evaluation was performed on a state-of-the-art CT system (SOMATOM Definition Force, Siemens Healthcare) in terms of noise, resolution, and detectability as a function of patient size, dose, tube energy (i.e., kVp), automatic exposure control, and reconstruction algorithm (i.e., Filtered Back-Projection– FPB vs Advanced Modeled Iterative Reconstruction– ADMIRE). A mathematical observer model (i.e., computer detection algorithm) was implemented and used as the basis of image quality comparisons. It was found that image quality increased with increasing dose and decreasing phantom size. The CT system exhibited nonlinear noise and resolution properties, especially at very low-doses, large phantom sizes, and for low-contrast objects. Objective image quality metrics generally increased with increasing dose and ADMIRE strength, and with decreasing phantom size. The ADMIRE algorithm could offer comparable image quality at reduced doses or improved image quality at the same dose (increase in detectability index by up to 163% depending on iterative strength). The use of automatic exposure control resulted in more consistent image quality with changing phantom size.

Based on those results, the dose reduction potential of ADMIRE was further assessed specifically for the task of detecting small (<=6 mm) low-contrast (<=20 HU) lesions. A new low-contrast detectability phantom (with uniform background) was designed and fabricated using a multi-material 3D printer. The phantom was imaged at multiple dose levels and images were reconstructed with FBP and ADMIRE. Human perception experiments were performed to measure the detection accuracy from FBP and ADMIRE images. It was found that ADMIRE had equivalent performance to FBP at 56% less dose.

Using the same image data as the previous study, a number of different mathematical observer models were implemented to assess which models would result in image quality metrics that best correlated with human detection performance. The models included naïve simple metrics of image quality such as contrast-to-noise ratio (CNR) and more sophisticated observer models such as the non-prewhitening matched filter observer model family and the channelized Hotelling observer model family. It was found that non-prewhitening matched filter observers and the channelized Hotelling observers both correlated strongly with human performance. Conversely, CNR was found to not correlate strongly with human performance, especially when comparing different reconstruction algorithms.

The uniform background phantoms used in the previous studies provided a good first-order approximation of image quality. However, due to their simplicity and due to the complexity of iterative reconstruction algorithms, it is possible that such phantoms are not fully adequate to assess the clinical impact of iterative algorithms because patient images obviously do not have smooth uniform backgrounds. To test this hypothesis, two textured phantoms (classified as gross texture and fine texture) and a uniform phantom of similar size were built and imaged on a SOMATOM Flash scanner (Siemens Healthcare). Images were reconstructed using FBP and a Sinogram Affirmed Iterative Reconstruction (SAFIRE). Using an image subtraction technique, quantum noise was measured in all images of each phantom. It was found that in FBP, the noise was independent of the background (textured vs uniform). However, for SAFIRE, noise increased by up to 44% in the textured phantoms compared to the uniform phantom. As a result, the noise reduction from SAFIRE was found to be up to 66% in the uniform phantom but as low as 29% in the textured phantoms. Based on this result, it clear that further investigation was needed into to understand the impact that background texture has on image quality when iterative reconstruction algorithms are used.

To further investigate this phenomenon with more realistic textures, two anthropomorphic textured phantoms were designed to mimic lung vasculature and fatty soft tissue texture. The phantoms (along with a corresponding uniform phantom) were fabricated with a multi-material 3D printer and imaged on the SOMATOM Flash scanner. Scans were repeated a total of 50 times in order to get ensemble statistics of the noise. A novel method of estimating the noise power spectrum (NPS) from irregularly shaped ROIs was developed. It was found that SAFIRE images had highly locally non-stationary noise patterns with pixels near edges having higher noise than pixels in more uniform regions. Compared to FBP, SAFIRE images had 60% less noise on average in uniform regions for edge pixels, noise was between 20% higher and 40% lower. The noise texture (i.e., NPS) was also highly dependent on the background texture for SAFIRE. Therefore, it was concluded that quantum noise properties in the uniform phantoms are not representative of those in patients for iterative reconstruction algorithms and texture should be considered when assessing image quality of iterative algorithms.

The move beyond just assessing noise properties in textured phantoms towards assessing detectability, a series of new phantoms were designed specifically to measure low-contrast detectability in the presence of background texture. The textures used were optimized to match the texture in the liver regions actual patient CT images using a genetic algorithm. The so called “Clustured Lumpy Background” texture synthesis framework was used to generate the modeled texture. Three textured phantoms and a corresponding uniform phantom were fabricated with a multi-material 3D printer and imaged on the SOMATOM Flash scanner. Images were reconstructed with FBP and SAFIRE and analyzed using a multi-slice channelized Hotelling observer to measure detectability and the dose reduction potential of SAFIRE based on the uniform and textured phantoms. It was found that at the same dose, the improvement in detectability from SAFIRE (compared to FBP) was higher when measured in a uniform phantom compared to textured phantoms.

The final trajectory of this project aimed at developing methods to mathematically model lesions, as a means to help assess image quality directly from patient images. The mathematical modeling framework is first presented. The models describe a lesion’s morphology in terms of size, shape, contrast, and edge profile as an analytical equation. The models can be voxelized and inserted into patient images to create so-called “hybrid” images. These hybrid images can then be used to assess detectability or estimability with the advantage that the ground truth of the lesion morphology and location is known exactly. Based on this framework, a series of liver lesions, lung nodules, and kidney stones were modeled based on images of real lesions. The lesion models were virtually inserted into patient images to create a database of hybrid images to go along with the original database of real lesion images. ROI images from each database were assessed by radiologists in a blinded fashion to determine the realism of the hybrid images. It was found that the radiologists could not readily distinguish between real and virtual lesion images (area under the ROC curve was 0.55). This study provided evidence that the proposed mathematical lesion modeling framework could produce reasonably realistic lesion images.

Based on that result, two studies were conducted which demonstrated the utility of the lesion models. The first study used the modeling framework as a measurement tool to determine how dose and reconstruction algorithm affected the quantitative analysis of liver lesions, lung nodules, and renal stones in terms of their size, shape, attenuation, edge profile, and texture features. The same database of real lesion images used in the previous study was used for this study. That database contained images of the same patient at 2 dose levels (50% and 100%) along with 3 reconstruction algorithms from a GE 750HD CT system (GE Healthcare). The algorithms in question were FBP, Adaptive Statistical Iterative Reconstruction (ASiR), and Model-Based Iterative Reconstruction (MBIR). A total of 23 quantitative features were extracted from the lesions under each condition. It was found that both dose and reconstruction algorithm had a statistically significant effect on the feature measurements. In particular, radiation dose affected five, three, and four of the 23 features (related to lesion size, conspicuity, and pixel-value distribution) for liver lesions, lung nodules, and renal stones, respectively. MBIR significantly affected 9, 11, and 15 of the 23 features (including size, attenuation, and texture features) for liver lesions, lung nodules, and renal stones, respectively. Lesion texture was not significantly affected by radiation dose.

The second study demonstrating the utility of the lesion modeling framework focused on assessing detectability of very low-contrast liver lesions in abdominal imaging. Specifically, detectability was assessed as a function of dose and reconstruction algorithm. As part of a parallel clinical trial, images from 21 patients were collected at 6 dose levels per patient on a SOMATOM Flash scanner. Subtle liver lesion models (contrast = -15 HU) were inserted into the raw projection data from the patient scans. The projections were then reconstructed with FBP and SAFIRE (strength 5). Also, lesion-less images were reconstructed. Noise, contrast, CNR, and detectability index of an observer model (non-prewhitening matched filter) were assessed. It was found that SAFIRE reduced noise by 52%, reduced contrast by 12%, increased CNR by 87%. and increased detectability index by 65% compared to FBP. Further, a 2AFC human perception experiment was performed to assess the dose reduction potential of SAFIRE, which was found to be 22% compared to the standard of care dose.

In conclusion, this dissertation provides to the scientific community a series of new methodologies, phantoms, analysis techniques, and modeling tools that can be used to rigorously assess image quality from modern CT systems. Specifically, methods to properly evaluate iterative reconstruction have been developed and are expected to aid in the safe clinical implementation of dose reduction technologies.

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From April 26-29, 1994, South Africa held its first universal, democratic elections. Witnessed by the world, South Africans of all races waited patiently in line to cast their ballots, signaling the official and symbolic birth of the “new” South Africa. The subsequent years, marked initially with euphoric hopes for racial healing enabled by institutional processes such as the Truth and Reconciliation Commission (TRC), have instead, most recently, inspired deep concern about epidemic levels of HIV/AIDS, violent crime, state corruption, and unbridled market reforms directed at everything from property to bodies to babies. Now, seemingly beleaguered state officials deploy the mantra “TINA” (There Is No Alternative [to neoliberal development]) to fend off criticism of growing income and wealth disparities. To coincide, more or less, with the anniversary of 1994—less to commemorate than to signal something about the trajectory of the past twenty years—we are proposing an interdisciplinary, special theme section of Comparative Studies in South Asia, Africa, and the Middle East (CSSAAME) entitled “The Haunted Present: Reckoning After Apartheid” (tentative title). The special theme section is framed around questions of reckoning in the double sense of both a moral and practical accounting for historical injury alongside the challenges and failures of the no-longer “new” South Africa. Against accounts depicting the liberation era as non-violent and peaceable, more nuanced analysis we argue suggests not only that South Africa’s “revolution” was marked by both collective and individual violence—on the part of the state and the liberation movements—but that reckoning with the present demands of scholars, the media, and cultural commentators that they begin to grapple more fully with the dimensions and different figurations of South Africa’s violent colonial history. Indeed, violence and reckoning appear as two central forces in contemporary South African political, economic, and social life. In response, we are driven to pose the following questions: In the post-apartheid period, what forms of (individual, structural) violence have come to bear on South African life? How does this violence reckon with apartheid and its legacies? Does it in fact reckon with the past? How can we or should we think about violence as a response to the (failed?) reckoning of state initiatives like the TRC? What has enabled or enables aesthetic forms—literature, photography, plastic arts, and other modes of expressive culture—to respond to the difficulties of South Africa’s ongoing transition? What, in fact, would a practice or ethic of reckoning defined in the following way look like? ˈrekəniNG/ noun: • the action or process of calculating or estimating something: last year was not, by any reckoning, a particularly good one; the system of time reckoning in Babylon • a person’s view, opinion, or judgment: by ancient reckoning, bacteria are plants • archaic, a bill or account, or its settlement • the avenging or punishing of past mistakes or misdeeds: the fear of being brought to reckoning there will be a terrible reckoning (Oxford English Dictionary) Looking back on the period, just before 1994, is sobering indeed. At the time, many saw in the energies and courage of those fighting for liberation the possibilities of a post-racial, post-conflict society. Yet as much as the new was ushered in, old apartheid forms lingered. Recalling Nadine Gordimer’s invocation of Gramsci’s “morbid symptoms” more and more it seems “the old is dying and the new cannot be born” (Gramsci cited in Gordimer 1982). And even as the new began to emerge other forces—both internal and external to South Africa—redefined the conditions for transformation. The so-called “new” South Africa, as Jennifer Wenzel has argued, was really more than anything “the changing face of old oppressions” (Wenzel 2009:159). The implications for our special theme section of CSSAAME are many. We begin by exploring the gender, race, and class dimensions of contemporary South African life by way of its literatures, histories, and politics, its reversion to custom, the claims of ancestors on the living, in brief, the various cultural expressive modes in which contemporary South Africa reckons with its past and in so doing accounts, day by day, for the ways in which the present can be lived, pragmatically. This moves us some distance from the exercise in “truth and reconciliation” of the earlier post-transition years to consider more fully the nature of post-conflict, the suturing of old enmities in the present, and the ways of resolving those lingering suspicions both ordinary and the stuff of the dark night of the soul (Nelson 2009:xv).

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From April 26-29, 1994, South Africa held its first universal, democratic elections. Witnessed by the world, South Africans of all races waited patiently in line to cast their ballots, signaling the official and symbolic birth of the “new” South Africa. The subsequent years, marked initially with euphoric hopes for racial healing enabled by institutional processes such as the Truth and Reconciliation Commission (TRC), have instead, most recently, inspired deep concern about epidemic levels of HIV/AIDS, violent crime, state corruption, and unbridled market reforms directed at everything from property to bodies to babies. Now, seemingly beleaguered state officials deploy the mantra “TINA” (There Is No Alternative [to neoliberal development]) to fend off criticism of growing income and wealth disparities. To coincide, more or less, with the anniversary of 1994—less to commemorate than to signal something about the trajectory of the past twenty years—we are proposing an interdisciplinary, special theme section of Comparative Studies in South Asia, Africa, and the Middle East (CSSAAME) entitled “The Haunted Present: Reckoning After Apartheid” (tentative title). The special theme section is framed around questions of reckoning in the double sense of both a moral and practical accounting for historical injury alongside the challenges and failures of the no-longer “new” South Africa. Against accounts depicting the liberation era as non-violent and peaceable, more nuanced analysis we argue suggests not only that South Africa’s “revolution” was marked by both collective and individual violence—on the part of the state and the liberation movements—but that reckoning with the present demands of scholars, the media, and cultural commentators that they begin to grapple more fully with the dimensions and different figurations of South Africa’s violent colonial history. Indeed, violence and reckoning appear as two central forces in contemporary South African political, economic, and social life. In response, we are driven to pose the following questions: In the post-apartheid period, what forms of (individual, structural) violence have come to bear on South African life? How does this violence reckon with apartheid and its legacies? Does it in fact reckon with the past? How can we or should we think about violence as a response to the (failed?) reckoning of state initiatives like the TRC? What has enabled or enables aesthetic forms—literature, photography, plastic arts, and other modes of expressive culture—to respond to the difficulties of South Africa’s ongoing transition? What, in fact, would a practice or ethic of reckoning defined in the following way look like? ˈrekəniNG/ noun: • the action or process of calculating or estimating something: last year was not, by any reckoning, a particularly good one; the system of time reckoning in Babylon • a person’s view, opinion, or judgment: by ancient reckoning, bacteria are plants • archaic, a bill or account, or its settlement • the avenging or punishing of past mistakes or misdeeds: the fear of being brought to reckoning there will be a terrible reckoning (Oxford English Dictionary) Looking back on the period, just before 1994, is sobering indeed. At the time, many saw in the energies and courage of those fighting for liberation the possibilities of a post-racial, post-conflict society. Yet as much as the new was ushered in, old apartheid forms lingered. Recalling Nadine Gordimer’s invocation of Gramsci’s “morbid symptoms” more and more it seems “the old is dying and the new cannot be born” (Gramsci cited in Gordimer 1982). And even as the new began to emerge other forces—both internal and external to South Africa—redefined the conditions for transformation. The so-called “new” South Africa, as Jennifer Wenzel has argued, was really more than anything “the changing face of old oppressions” (Wenzel 2009:159). The implications for our special theme section of CSSAAME are many. We begin by exploring the gender, race, and class dimensions of contemporary South African life by way of its literatures, histories, and politics, its reversion to custom, the claims of ancestors on the living, in brief, the various cultural expressive modes in which contemporary South Africa reckons with its past and in so doing accounts, day by day, for the ways in which the present can be lived, pragmatically. This moves us some distance from the exercise in “truth and reconciliation” of the earlier post-transition years to consider more fully the nature of post-conflict, the suturing of old enmities in the present, and the ways of resolving those lingering suspicions both ordinary and the stuff of the dark night of the soul (Nelson 2009:xv).

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Investor State Dispute Settlement (ISDS) has gained prominence in recent years with an explosion in the number of investor claims against states. While the evolution of this type of arbitration was expected, its focus and context was not. Investors are currently bringing actions against developed states in unanticipated policy areas. Greece, facing actions from investors challenging its debt haircut and Spain, battling investor challenges to its revamped energy policy are examples of the use of arbitration as a political as well as a dispute resolution tool. It is for this reason why the proposal for the inclusion of ISDS in the Transatlantic Trade and Investment Partnership (TTIP) has caused so much heated discussion. This paper examines the recent evolution and likely trajectory of investor state dispute settlement, reflecting on consequences for perceptions of arbitration and its links with politics and economics.

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Abstract This thesis examines one of the most sensitive challenges facing contemporary democracies: the accommodation of Muslim minorities in public institutions and services. It focuses on the field of education, and on two particular issues: the public funding of Islamic schools and the accommodation of Muslim needs in public secular schools. The analysis is based on an examination of outcomes in four jurisdictions that differ significantly in the level of accommodation that has emerged: England, Scotland, Ontario, and Quebec. I seek to explain why such variation in outcomes exists among these four cases. I draw on four bodies of literature to underpin the theoretical framework: historical institutionalism, political mobilization by civil society, political parties, and ideationalism. My argument can be summarized simply; historic church-state settlements, unique in each case, are the most important factor explaining the variation in outcomes in England, Scotland, Ontario, and Quebec. In some cases, the historic church-state template is incrementally adapted to accommodate Muslim minorities. In other cases, relatively little accommodation occurs and the path-dependent trajectory of church-state relations remains entrenched. While the historic church-state template is a necessary factor in the explanation, it does not fully account for the variation. For a more complete picture, I demonstrate that there are several additional key factors that also shape the outcomes: first, national identity and public attitudes towards immigration and immigrants; second, the extent of mobilization by political agents, such as civil society organizations and historic churches; and third, the response of political parties to demands by Muslims for institutional accommodation. Ultimately, I conclude that Muslims in these jurisdictions are receiving some accommodation, but the process is slow and partial. This thesis makes important theoretical and empirical contributions to the discussion of Muslim integration in liberal democratic states. First, a framework has yet to be developed that considers the theoretical implications of institutional accommodation of Muslims; I address this gap. Second, this research demonstrates the utility of historical institutionalism in explaining the adaptation of church-state templates to accommodate Muslims’ demands. Last, this study makes an original contribution by comparing the cases of England, Scotland, Ontario, and Quebec in the accommodation of Muslims in education. A comparison of Canada with the United Kingdom has not yet been done.  

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In geotechnical engineering, the stability of rock excavations and walls is estimated by using tools that include a map of the orientations of exposed rock faces. However, measuring these orientations by using conventional methods can be time consuming, sometimes dangerous, and is limited to regions of the exposed rock that are reachable by a human. This thesis introduces a 2D, simulated, quadcopter-based rock wall mapping algorithm for GPS denied environments such as underground mines or near high walls on surface. The proposed algorithm employs techniques from the field of robotics known as simultaneous localization and mapping (SLAM) and is a step towards 3D rock wall mapping. Not only are quadcopters agile, but they can hover. This is very useful for confined spaces such as underground or near rock walls. The quadcopter requires sensors to enable self localization and mapping in dark, confined and GPS denied environments. However, these sensors are limited by the quadcopter payload and power restrictions. Because of these restrictions, a light weight 2D laser scanner is proposed. As a first step towards a 3D mapping algorithm, this thesis proposes a simplified scenario in which a simulated 1D laser range finder and 2D IMU are mounted on a quadcopter that is moving on a plane. Because the 1D laser does not provide enough information to map the 2D world from a single measurement, many measurements are combined over the trajectory of the quadcopter. Least Squares Optimization (LSO) is used to optimize the estimated trajectory and rock face for all data collected over the length of a light. Simulation results show that the mapping algorithm developed is a good first step. It shows that by combining measurements over a trajectory, the scanned rock face can be estimated using a lower-dimensional range sensor. A swathing manoeuvre is introduced as a way to promote loop closures within a short time period, thus reducing accumulated error. Some suggestions on how to improve the algorithm are also provided.

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Paid reproductive work, especially in the case of cleaning and home-care for elderly people, is an important sector for foreign women in Italy. For this reason, since the beginning of the current economic crisis, scholars have wondered about the impact of the recession on migrant domestic workers. They have looked particularly at possible competition with Italian women entering the sector for lack of better alternatives. Our paper takes this discussion a step further by assessing the overall changes affecting migrant women in the Italian labour market, 2007-2012. We will look at how their position has been transformed, by taking both an ethnic perspective, in relation to Italian women, and a gender perspective, in relation to migrant men. By way of a conclusion, the argument will be made that there is a substantial lack of competition between Italian and foreign women in the care and domestic sector due to differences in their earnings, hours of work and activities.

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The aim of the paper is to analyze the impact of the economic crisis on the integration of the immigrant population in Spain. The Spanish case is singular because during the years of intense immigration achieved a remarkable degree of socio-cultural integration. The paper argues that such integration it has been the result of the confluence of exceptional factors rather than the result of the policy making. From a mixed methodology approach, it shows that, during the period of expansion, two factors of the immigration contribute to their coexistence with native population: finding job and access to public services. But the economic crisis, with its impact in terms of job losses and austerity policies, expose the weaknesses of the Spanish model of integration.