1,044 research outputs found

    Working out the plot: the role of stories in social machines

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    Although Social Machines do not have yet a formalized definition, some efforts have been made to characterize them from a “machinery” point of view. In this paper, we present a methodology by which we attempt to reveal the sociality of Social Machines; to do so, we adopt the analogy of stories. By assimilating a Social Machine to a story, we can identify the stories within and about that machine and how this storytelling perspective might reveal the sociality of Social Machines. After illustrating this storytelling approach with a few examples, we then propose three axes of inquiry to evaluate the health of a social machine: (1) assessment of the sociality of a Social Machine through evaluation of its storytelling potential and realization; (2) assessment of the sustainability of a Social Machine through evaluation of its reactivity and interactivity; and (3) assessment of emergence through evaluation of the collaboration between authors and of the distributed/mixed nature of authority

    Social music machine: crowdsourcing for composition & creativity

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    This poster describes a compositional technique that used crowd-sourced midi clips in order to develop a piece of music, which was later performed. This work in progress highlighted some of the issues facing the designers of systems that enable the ‘crowd’ to compose. INTRODUCTION Can the crowd get creative? And what sort of tools might be used to support this? These are the sorts of questions that we thought about when we initially started to think about these problems. Using software originally developed as part of an Experimental Digital Humanities [1] project, we started to wonder about how such software - “Numbers into Notes” [2] might work in the real world if multiple people used it in creative way, and what lessons might we learn from carrying out such an intervention

    Research and Education in Computational Science and Engineering

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    This report presents challenges, opportunities, and directions for computational science and engineering (CSE) research and education for the next decade. Over the past two decades the field of CSE has penetrated both basic and applied research in academia, industry, and laboratories to advance discovery, optimize systems, support decision-makers, and educate the scientific and engineering workforce. Informed by centuries of theory and experiment, CSE performs computational experiments to answer questions that neither theory nor experiment alone is equipped to answer. CSE provides scientists and engineers with algorithmic inventions and software systems that transcend disciplines and scales. CSE brings the power of parallelism to bear on troves of data. Mathematics-based advanced computing has become a prevalent means of discovery and innovation in essentially all areas of science, engineering, technology, and society, and the CSE community is at the core of this transformation. However, a combination of disruptive developments---including the architectural complexity of extreme-scale computing, the data revolution and increased attention to data-driven discovery, and the specialization required to follow the applications to new frontiers---is redefining the scope and reach of the CSE endeavor. With these many current and expanding opportunities for the CSE field, there is a growing demand for CSE graduates and a need to expand CSE educational offerings. This need includes CSE programs at both the undergraduate and graduate levels, as well as continuing education and professional development programs, exploiting the synergy between computational science and data science. Yet, as institutions consider new and evolving educational programs, it is essential to consider the broader research challenges and opportunities that provide the context for CSE education and workforce development

    Management of invasive thymoma at Groote Schuur Hospital, Cape Town

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    Fifteen patients (median age 55 years; range 23 - 69 years) with macroscopic invasive thymoma or thymic carcinoma were treated at Groote Schuur Hospital between 1969 and 1988. Stage 3 (macroscopically invasive) disease was present in 12 patients (80%) and stage 4 (metastatic disease) in 3 (20%). Ten of the patients with stage 3 disease were treated by combined surgery and full-dose mediastinal irradiation; in 2 resection was not possible and they were treated with irradiation alone. One of the patients with stage 3 disease developed progressive thymoma (median follow-up 74 months). This patient and 2 others died; 1 from mediastinitis after surgery for thymic carcinoma and 1 of unrelated disease. Both patients treated by irradiation alone were free of disease at follow-up. In the patients with stage 3 disease, the relapse rate was 8% (crude) and the 5-year disease-free survival rate 86% (life table). The patients with stage 4 disease received cisplatin-based combination chemotherapy, which was combined with further irradiation and debulking surgery in 2 of the 3 cases. These patients died of malignant disease at between 5 and 42 months, although 1 had a temporary response to chemotherapy. Tumour extent is the most important prognostic factor in these patients. A multidisciplinary approach to therapy is required

    Pre-hospital risk factors for inpatient death from severe febrile illness in Malian children.

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    BACKGROUND: Inpatient case fatality from severe malaria remains high in much of sub-Saharan Africa. The majority of these deaths occur within 24 hours of admission, suggesting that pre-hospital management may have an impact on the risk of case fatality. METHODS: Prospective cohort study, including questionnaire about pre-hospital treatment, of all 437 patients admitted with severe febrile illness (presumed to be severe malaria) to the paediatric ward in Sikasso Regional Hospital, Mali, in a two-month period. FINDINGS: The case fatality rate was 17.4%. Coma, hypoglycaemia and respiratory distress at admission were associated with significantly higher mortality. In multiple logistic regression models and in a survival analysis to examine pre-admission risk factors for case fatality, the only consistent and significant risk factor was sex. Girls were twice as likely to die as boys (AOR 2.00, 95% CI 1.08-3.70). There was a wide variety of pre-hospital treatments used, both modern and traditional. None had a consistent impact on the risk of death across different analyses. Reported use of traditional treatments was not associated with post-admission outcome. INTERPRETATION: Aside from well-recognised markers of severity, the main risk factor for death in this study was female sex, but this study cannot determine the reason why. Differences in pre-hospital treatments were not associated with case fatality

    Endividamento forçado, Big Government e implausibilidade de crise no capitalismo: um exercício a partir de um modelo de consistência entre fluxos e estoques

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    The aim of this paper is describe Steindl.s .enforced indebtedness. in a closed system through a stock-flow consistent framework. Begining with an accounting framework that allow us to analyze in a consistent way stocks and flow variables we show that the .enforced indebtedness. and the possibility of crisis become absolutely implausible when we think about the role played by Minsky.s Big Government. The public sector should do expansive fiscal policies avoiding the aggregate profit reduction, the increase in the indebtedness rate and the fall in aggregate investment. Following the functional finance approach, government would not find any obstacle to finance its deficits because private sector will always accept government debt in the form of high-powered money and bonds issued by it.Este trabalho tem como objetivo descrever o processo de endividamento forçado de Steindl em uma economia fechada a partir de um modelo de consistência entre fluxos e estoques. Partimos de esquema contábil que nos permite analisar, de forma consistente, as variáveis de fluxo e sua contrapartida em termos dos estoques e, com base nele, mostramos que esse processo e a possibilidade de crise se tornam absolutamente implausíveis se pensarmos no papel exercido pelo Big Government de Minsky. O setor público pode fazer políticas fiscais expansivas, evitando que os lucros caiam, que a taxa de endividamento se eleve e que o investimento caia. Para isso, seguindo a abordagem das .finan- ças funcionais., o governo não encontrará qualquer obstáculo para se financiar, porque o público sempre aceita a moeda e a dívida pública emitida por ele. Palavras-chave Endividamento forçado; .política fiscal.; finanças funcionai

    Human resources for primary health care in sub-Saharan Africa: progress or stagnation?

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    BACKGROUND: The World Health Organization defines a "critical shortage" of health workers as being fewer than 2.28 health workers per 1000 population and failing to attain 80% coverage for deliveries by skilled birth attendants. We aimed to quantify the number of health workers in five African countries and the proportion of these currently working in primary health care facilities, to compare this to estimates of numbers needed and to assess how the situation has changed in recent years. METHODS: This study is a review of published and unpublished "grey" literature on human resources for health in five disparate countries: Mali, Sudan, Uganda, Botswana and South Africa. RESULTS: Health worker density has increased steadily since 2000 in South Africa and Botswana which already meet WHO targets but has not significantly increased since 2004 in Sudan, Mali and Uganda which have a critical shortage of health workers. In all five countries, a minority of doctors, nurses and midwives are working in primary health care, and shortages of qualified staff are greatest in rural areas. In Uganda, shortages are greater in primary health care settings than at higher levels. In Mali, few community health centres have a midwife or a doctor. Even South Africa has a shortage of doctors in primary health care in poorer districts. Although most countries recognize village health workers, traditional healers and traditional birth attendants, there are insufficient data on their numbers. CONCLUSION: There is an "inverse primary health care law" in the countries studied: staffing is inversely related to poverty and level of need, and health worker density is not increasing in the lowest income countries. Unless there is money to recruit and retain staff in these areas, training programmes will not improve health worker density because the trained staff will simply leave to work elsewhere. Information systems need to be improved in a way that informs policy on the health workforce. It may be possible to use existing resources more cost-effectively by involving skilled staff to supervise and support lower level health care workers who currently provide the front line of primary health care in most of Africa

    A decomposition-based uncertainty quantification approach for environmental impacts of aviation technology and operation

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    As a measure to manage the climate impact of aviation, significant enhancements to aviation technologies and operations are necessary. When assessing these enhancements and their respective impacts on the climate, it is important that we also quantify the associated uncertainties. This is important to support an effective decision and policymaking process. However, such quantification of uncertainty is challenging, especially in a complex system that comprises multiple interacting components. The uncertainty quantification task can quickly become computationally intractable and cumbersome for one individual or group to manage. Recognizing the challenge of quantifying uncertainty in multicomponent systems, we utilize a divide-and-conquer approach, inspired by the decomposition-based approaches used in multidisciplinary analysis and optimization. Specifically, we perform uncertainty analysis and global sensitivity analysis of our multicomponent aviation system in a decomposition-based manner. In this work, we demonstrate how to handle a high-dimensional multicomponent interface using sensitivity-based dimension reduction and a novel importance sampling method. Our results demonstrate that the decomposition-based uncertainty quantification approach can effectively quantify the uncertainty of a feed-forward multicomponent system for which the component models are housed in different locations and owned by different groups. Keywords: Aviation Environmental Impact; Decomposition; Global Sensitivity Analysis; Uncertainty Quantificatio

    Telomere Recognition and Assembly Mechanism of Mammalian Shelterin

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    Shelterin is a six-subunit protein complex that plays crucial roles in telomere length regulation, protection, and maintenance. Although several shelterin subunits have been studied in vitro, the biochemical properties of the fully assembled shelterin complex are not well defined. Here, we characterize shelterin using ensemble biochemical methods, electron microscopy, and single-molecule imaging to determine how shelterin recognizes and assembles onto telomeric repeats. We show that shelterin complexes can exist in solution and primarily locate telomeric DNA through a three-dimensional diffusive search. Shelterin can diffuse along non-telomeric DNA but is impeded by nucleosomes, arguing against extensive one-dimensional diffusion as a viable assembly mechanism. Our work supports a model in which individual shelterin complexes rapidly bind to telomeric repeats as independent functional units, which do not alter the DNA-binding mode of neighboring complexes but, rather, occupy telomeric DNA in a "beads on a string" configuration
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