891 resultados para EAD Finding Aids


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Purpose The purpose of this study was to investigate the nature and prevalence of discrimination against people living with HIV/AIDS in West Bengal, India, and how discrimination is associated with depression, suicidal ideation and suicidal attempts. Method Semi-structured interviews and the Beck Depression Inventory were administered to 105 HIV infected persons recruited by incidental sampling, at an Integrated Counseling and Testing Center (ICTC) and through Networks of People Living with HIV/AIDS, in the West Bengal area. Results Findings showed that 40.8% of the sample has experienced discrimination at least in one social setting – such as family (29.1%), health centers (18.4%), community (17.5%) and workplace (6.8%). About two-fifths (40.8%) reported experiencing discrimination in multiple social settings. Demographic factors associated with discrimination were gender, age, occupation, education, and current residence. More than half of the sample was suffering from severe depression while 8.7% had attempted suicide. Discrimination in most areas was significantly associated with suicidal ideation and suicidal attempts. Conclusions Prevalence of discrimination associated with HIV/AIDS is high in our sample from West Bengal. While discrimination was not associated with depressive symptomatology, discrimination was associated with suicidal ideation and attempts. These findings suggest that there is an urgent need for interventions to reduce discrimination of HIV/AIDS in the West Bengal region.

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Entity-oriented search has become an essential component of modern search engines. It focuses on retrieving a list of entities or information about the specific entities instead of documents. In this paper, we study the problem of finding entity related information, referred to as attribute-value pairs, that play a significant role in searching target entities. We propose a novel decomposition framework combining reduced relations and the discriminative model, Conditional Random Field (CRF), for automatically finding entity-related attribute-value pairs from free text documents. This decomposition framework allows us to locate potential text fragments and identify the hidden semantics, in the form of attribute-value pairs for user queries. Empirical analysis shows that the decomposition framework outperforms pattern-based approaches due to its capability of effective integration of syntactic and semantic features.

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When I was seven I worked on a science project about caterpillars and moths. I was completely immersed in this project, fascinated by caterpillar body markings, the rhythmical, semi-circular pattern caterpillars adopt to eat leaves, their spiral construction of the chrysalis, and their transformation into moths or butterflies. I demonstrated my fascination, my research and study through carefully executed and detailed drawings. I could read and write well, but I wasn’t as interested in writing and produced a half-page summary to support my visual work.

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This Australian case study of futures methodologies in local government explores the development and implementation of the Logan 2026 City Directions project. As an innovative approach to strategic planning, and forming the city visioning umbrella for the Strategic Planning and Performance Management Framework of Council, Logan 2026 City Directions has facilitated greater engagement with the community and represents an opportunity for Council to explore and build on the organisation's foresight capacity and to enhance internal communications within the organisation. One significant by-product has been ongoing dialogue and actions of the workshop groups in Council seeking to address such issues as climate change.

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Background: Medication remains the cornerstone treatment for mental illness. Cognition is one of the strongest predictors of non-adherence. The aim of this preliminary investigation was to examine the association between the Large Allen Cognitive Level Screen (LACLS) and medication adherence among a small sample of mental health service users to determine whether the LACLS has potential as a screening tool for capacity to manage medication regimens. Method: Demographic and clinical information was collected from a small sample of people who had recently accessed community mental health services. Participants then completed the LACLS and the Medication Adherence Rating Scale (MARS) at a single time point. The strength of association between the LACLS and MARS was examined using Spearman rank-order correlation. Results: A strong positive correlation between the LACLS and medication adherence (r = 0.71, p = 0.01) was evident. No participants reported the use of medication aids despite evidence of impaired cognitive functioning. Conclusion: This investigation has provided the first empirical evidence indicating that the LACLS may have utility as a screening instrument for capacity to manage medication adherence among this population. While promising, this finding should be interpreted with caveats given its preliminary nature.

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Over the past few decades a major paradigm shift has occurred in the conceptualisation of chronic pain as a complex multidimensional phenomenon. Yet, pain experienced by individuals with a primary disability continues to be understood largely from a traditional biomedical model, despite its inherent limitations. This is reflected in the body of literature on the topic that is primarily driven by positivist assumptions and the search for etiologic pain mechanisms. Conversely, little is known about the experiences of and meanings attributed to, disability-related pain. Thus the purpose of this paper is to discuss the use of focus group methodology in elucidating the meanings and experiences of this population. Here, a distinction is made between the method of the focus group and focus group research as methodology. Typically, the focus group is presented as a seemingly atheoretical method of research. Drawing on research undertaken on the impact of chronic pain in people with multiple sclerosis, this paper seeks to theorise the focus group in arguing the methodological congruence of focus group research and the study of pain experience. It is argued that the contributions of group interaction and shared experiences in focus group discussions produce data and insights less accessible through more structured research methods. It is concluded that a biopsychosocial perspective of chronic pain may only ever be appreciated when the person-in-context is the unit of investigation.

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Trees are capable of portraying the semi-structured data which is common in web domain. Finding similarities between trees is mandatory for several applications that deal with semi-structured data. Existing similarity methods examine a pair of trees by comparing through nodes and paths of two trees, and find the similarity between them. However, these methods provide unfavorable results for unordered tree data and result in yielding NP-hard or MAX-SNP hard complexity. In this paper, we present a novel method that encodes a tree with an optimal traversing approach first, and then, utilizes it to model the tree with its equivalent matrix representation for finding similarity between unordered trees efficiently. Empirical analysis shows that the proposed method is able to achieve high accuracy even on the large data sets.

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Research has suggested that lesbian, gay, bisexual and transgender (LGBT) young people are “at-risk” of victimization and/or legally “risky.” Relatively few studies have examined the social construction of risk in “risk factor” research and whether risk as a concept influences the everyday lives of LGBT young people. This article reports how 35 LGBT young people and seven service provider staff in Brisbane, Queensland, Australia perceived LGBT youth–police interactions as reflecting discourses about LGBT riskiness and danger. The participants specifically note how they thought looking at-risk and/or looking risky informed their policing experiences. The article concludes with recommendations for improving future policing practice.

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Invited – and inspired – by Rikki Gunn of GhostNets Australia, in September 2008 sixteen Queensland University of Technology (QUT) design and engineering students and four staff set off on a 2488km journey to spend a fortnight in Karumba on the Gulf of Carpentaria. We went to undertake a strategic planning project we called Linking Karumba, to encourage social, economic, environmental and cultural linkages across the town. During this visit, we and our local project partners realised there should be a second half to the project, in the other Carpentaria Shire town of Normanton, which saw another group of us travelling north again in 2010 to undertake Get EnGulfed: Normanton2020, looking back and forwards to propose strategies to strengthen local and regional identities. The responsiveness of our students’ work to the character of Carpentarian culture and environment indicate remarkable levels of immersion, and the community expressed their enjoyment of the process and outcomes. As for us - QUT staff and students - we had a marvellous time doing these projects, and this little book is the story of our finding of the landscapes and communities of Carpentaria “where the outback meets the sea”, and of the project work we did together with locals in the two towns. We go to press as news arrives of the official opening of the Karumba Walking track, linking the two parts of the town. We can’t wait to return and make the walk. Shannon Satherley, 2013

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This is a practice-led project consisting of a Young Adult novel, Open Cut, and an exegesis, 'I Wouldn't Say That': Finding a Young Adult, Female Voice in a Queensland Mining Town. The thesis investigates the use of first person narration in order to create an immediate engaging, realist Young Adult Fiction. The research design is bound by a feminist interpretative paradigm. The methodology employed is practice-led, auto-ethnography, and participant observation. Particular characteristics of first person narration used in Australian Young Adult Fiction are identified in an analysis of Dust, by Christine Bongers, and Jasper Jones, by Craig Silvey. The exegesis also contains a reflection on the researcher's creative work, and the process used to draft, edit, plot and construct the novel. The research contributes to knowledge in the field of Young Adult Literature because it offers a graphic portrayal of an Australian mining town that has not been heard before.

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WHENEVER I talk to my students about the requisites for writing, I always tell them that they need at least two things: space and time. Time, which we frequently describe through verbs of motion such as ‘flow’ or ‘flux’, and space, which we usually view as emptiness or the absence of matter. I.e., two dimensions, which are co-dependent, are not only features of the physical world but mental constructs that are elementary to the faculty of cognition...

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Dose-finding trials are a form of clinical data collection process in which the primary objective is to estimate an optimum dose of an investigational new drug when given to a patient. This thesis develops and explores three novel dose-finding design methodologies. All design methodologies presented in this thesis are pragmatic. They use statistical models, incorporate clinicians' prior knowledge efficiently, and prematurely stop a trial for safety or futility reasons. Designing actual dose-finding trials using these methodologies will minimize practical difficulties, improve efficiency of dose estimation, be flexible to stop early and reduce possible patient discomfort or harm.

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Dose-finding designs estimate the dose level of a drug based on observed adverse events. Relatedness of the adverse event to the drug has been generally ignored in all proposed design methodologies. These designs assume that the adverse events observed during a trial are definitely related to the drug, which can lead to flawed dose-level estimation. We incorporate adverse event relatedness into the so-called continual reassessment method. Adverse events that have ‘doubtful’ or ‘possible’ relationships to the drug are modelled using a two-parameter logistic model with an additive probability mass. Adverse events ‘probably’ or ‘definitely’ related to the drug are modelled using a cumulative logistic model. To search for the maximum tolerated dose, we use the maximum estimated toxicity probability of these two adverse event relatedness categories. We conduct a simulation study that illustrates the characteristics of the design under various scenarios. This article demonstrates that adverse event relatedness is important for improved dose estimation. It opens up further research pathways into continual reassessment design methodologies.

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Metastasis, the passage of primary tumour cells throughout the body via the vascular system and their subsequent proliferation into secondary lesions in distant organs, represents a poor prognosis and therefore an understandably feared event for cancer patients. Despite considerable advances in cancer diagnosis and treatment, most deaths are the result of metastases resistant to conventional treatment [1]. Rather than being a random process, metastasis involves a series of organised steps leading to the growth of a secondary tumour. Malignant tumours stimulate the production of new vessels by the host, and this process is a prerequisite for the increase in size of a new tumour [2]. Angiogenesis, not only permits tumour expansion but also allows the entry of tumour cells into the circulation and is probably the most vital event for the metastatic process [3]. Metastasis and angiogenesis [4] have received much attention in recent years. A biological understanding of both phenomena seems to be an urgent priority towards the search for an effective prevention and treatment of tumour progression. Studies in vitro and in vivo have shown that one of the most important barriers to the passage of malignant cells is the basement membrane. The crossing of such barriers is a vital step in the formation of a metastasis [5].