131 resultados para Abc


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Background: Surgical site infection (SSI) is associated with substantial costs for health services, reduced quality of life, and functional outcomes. The aim of this study was to evaluate the cost-effectiveness of strategies claiming to reduce the risk of SSI in hip arthroplasty in Australia. Methods: Baseline use of antibiotic prophylaxis (AP) was compared with no antibiotic prophylaxis (no AP), antibiotic-impregnated cement (AP þ ABC), and laminar air operating rooms (AP þ LOR). A Markov model was used to simulate long-term health and cost outcomes of a hypothetical cohort of 30,000 total hip arthroplasty patients from a health services perspective. Model parameters were informed by the best available evidence. Uncertainty was explored in probabilistic sensitivity and scenario analyses. Results: Stopping the routine use of AP resulted in over Australian dollars (AUD) $1.5 million extra costs and a loss of 163 quality-adjusted life years (QALYs). Using antibiotic cement in addition to AP (AP þ ABC)generated an extra 32 QALYs while saving over AUD $123,000. The use of laminar air operating rooms combined with routine AP (AP þ LOR) resulted in an AUD $4.59 million cost increase and 127 QALYs lost compared with the baseline comparator. Conclusion: Preventing deep SSI with antibiotic prophylaxis and antibiotic-impregnated cement has shown to improve health outcomes among hospitalized patients, save lives, and enhance resource allocation. Based on this evidence, the use of laminar air operating rooms is not recommended.

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In this paper we present a new simulation methodology in order to obtain exact or approximate Bayesian inference for models for low-valued count time series data that have computationally demanding likelihood functions. The algorithm fits within the framework of particle Markov chain Monte Carlo (PMCMC) methods. The particle filter requires only model simulations and, in this regard, our approach has connections with approximate Bayesian computation (ABC). However, an advantage of using the PMCMC approach in this setting is that simulated data can be matched with data observed one-at-a-time, rather than attempting to match on the full dataset simultaneously or on a low-dimensional non-sufficient summary statistic, which is common practice in ABC. For low-valued count time series data we find that it is often computationally feasible to match simulated data with observed data exactly. Our particle filter maintains $N$ particles by repeating the simulation until $N+1$ exact matches are obtained. Our algorithm creates an unbiased estimate of the likelihood, resulting in exact posterior inferences when included in an MCMC algorithm. In cases where exact matching is computationally prohibitive, a tolerance is introduced as per ABC. A novel aspect of our approach is that we introduce auxiliary variables into our particle filter so that partially observed and/or non-Markovian models can be accommodated. We demonstrate that Bayesian model choice problems can be easily handled in this framework.

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The ABC’s 50-year TV partnership with the BBC is at breaking point after a landmark deal between the British broadcaster and pay TV provider Foxtel was announced in April 2013. Under the new deal Foxtel will host a new BBC channel that will screen first-run, “fast-tracked” British programming, meaning ABC viewers will no longer have free-to-air access to popular shows such as Silent Witness and The Thick of It. The deal between Foxtel and the BBC’s commercial arm, BBC Worldwide, has major implications not only for the two partners, but also for the ABC and potentially for Australian screen content.

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Between 8 and 20 percent of depression in young men and women aged 18-23 is associated with pregnancy loss, according to a recent analysis of the 30 year Mater Hospital longitudinal study of mothers and children. Dr Kaeleen Dingle from the University of Queensland explains the study and discusses the implications for both men and women.

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Purpose: We have evaluated the immunosuppressive properties of L-MSC with the view to using these cells in allogeneic cell therapies for corneal disorders. We hypothesized that L-MSC cultures would suppress T-cell activation, in a similar way to those established from human bone marrow (BM-MSC). Methods: MSC cultures were established from the limbal stroma of cadaveric donor eye tissue (up to 1 week postmortem) using either conventional serum-supplemented growth medium or a commercial serum-free medium optimized for bone marrow derived MSC (MesenCult-XF system). The MSC phenotype was examined by flow cytometry according to current and emerging markers for human MSC. Immunosuppressive properties were assessed using a mixed lymphocyte reaction (MLR) assay, whereby the white cell fraction from two immunologically incompatible blood donors are cultured together in direct contact with growth arrested MSC. T-cell activation (proliferation) was measured by uptake of tritiated thymidine. Human L-MSC were tested in parallel with human BM-MSC and rabbit L-MSC. Human and rabbit L-MSC were also tested for their ability to stimulate the growth of limbal epithelial (LE) cells in colony formation assays (for both human as well as rabbit LE cells). Results: L-MSC cultures were >95% negative for CD34, CD45 and HLA-DR and positive for CD73, CD90, CD105 and HLA-ABC. Modest levels (30%) of CD146 expression were observed for L-MSC cultures grown in serum-supplemented growth medium, but not those grown in MesenCult-XF. All MSC cultures derived from both human and rabbit tissue suppressed T-cell activation to varying degrees according to culture technique and species (MesenCult-XF >> serum-fed cultures, rabbit L-MSC >> human L-MSC). All L-MSC stimulated colony formation by LE cells irrespectively of the combination of cell species used. Conclusions: L-MSC display immunosuppressive qualities, in addition to their established non-immunogenic cell surface marker profile, and stimulate LE cell growth in vitro across species boundaries. These results support the potential use of allogeneic or even xenogeneic L-MSC in the treatment of corneal disorders.

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Background aims Mesenchymal stromal cells (MSCs) cultivated from the corneal limbus (L-MSCs) provide a potential source of cells for corneal repair. In the present study, we investigated the immunosuppressive properties of human L-MSCs and putative rabbit L-MSCs to develop an allogeneic therapy and animal model of L-MSC transplantation. Methods MSC-like cultures were established from the limbal stroma of human and rabbit (New Zealand white) corneas using either serum-supplemented medium or a commercial serum-free MSC medium (MesenCult-XF Culture Kit; Stem Cell Technologies, Melbourne, Australia). L-MSC phenotype was examined by flow cytometry. The immunosuppressive properties of L-MSC cultures were assessed using mixed leukocyte reactions. L-MSC cultures were also tested for their ability to support colony formation by primary limbal epithelial (LE) cells. Results Human L-MSC cultures were typically CD34−, CD45− and HLA-DR− and CD73+, CD90+, CD105+ and HLA-ABC+. High levels (>80%) of CD146 expression were observed for L-MSC cultures grown in serum-supplemented medium but not cultures grown in MesenCult-XF (approximately 1%). Rabbit L-MSCs were approximately 95% positive for major histocompatibility complex class I and expressed lower levels of major histocompatibility complex class II (approximately 10%), CD45 (approximately 20%), CD105 (approximately 60%) and CD90 (<10%). Human L-MSCs and rabbit L-MSCs suppressed human T-cell proliferation by up to 75%. Conversely, L-MSCs from either species stimulated a 2-fold to 3-fold increase in LE cell colony formation. Conclusions L-MSCs display immunosuppressive qualities in addition to their established non-immunogenic profile and stimulate LE cell growth in vitro across species boundaries. These results support the potential use of allogeneic L-MSCs in the treatment of corneal disorders and suggest that the rabbit would provide a useful pre-clinical model.

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Lean strategies have been developed to eliminate or reduce manufacturing waste and thus improve operational efficiency in manufacturing processes. However, implementing lean strategies requires a large amount of resources and, in practice, manufacturers encounter difficulties in selecting appropriate lean strategies within their resource constraints. There is currently no systematic methodology available for selecting appropriate lean strategies within a manufacturer's resource constraints. In the lean transformation process, it is also critical to measure the current and desired leanness levels in order to clearly evaluate lean implementation efforts. Despite the fact that many lean strategies are utilized to reduce or eliminate manufacturing waste, little effort has been directed towards properly assessing the leanness of manufacturing organizations. In practice, a single or specific group of metrics (either qualitative or quantitative) will only partially measure the overall leanness. Existing leanness assessment methodologies do not offer a comprehensive evaluation method, integrating both quantitative and qualitative lean measures into a single quantitative value for measuring the overall leanness of an organization. This research aims to develop mathematical models and a systematic methodology for selecting appropriate lean strategies and evaluating the leanness levels in manufacturing organizations. Mathematical models were formulated and a methodology was developed for selecting appropriate lean strategies within manufacturers' limited amount of available resources to reduce their identified wastes. A leanness assessment model was developed by using the fuzzy concept to assess the leanness level and to recommend an optimum leanness value for a manufacturing organization. In the proposed leanness assessment model, both quantitative and qualitative input factors have been taken into account. Based on program developed in MATLAB and C#, a decision support tool (DST) was developed for decision makers to select lean strategies and evaluate the leanness value based on the proposed models and methodology hence sustain the lean implementation efforts. A case study was conducted to demonstrate the effectiveness of these proposed models and methodology. Case study results suggested that out of 10 wastes identified, the case organization (ABC Limited) is able to improve a maximum of six wastes from the selected workstation within their resource limitations. The selected wastes are: unnecessary motion, setup time, unnecessary transportation, inappropriate processing, work in process and raw material inventory and suggested lean strategies are: 5S, Just-In-Time, Kanban System, the Visual Management System (VMS), Cellular Manufacturing, Standard Work Process using method-time measurement (MTM), and Single Minute Exchange of Die (SMED). From the suggested lean strategies, the impact of 5S was demonstrated by measuring the leanness level of two different situations in ABC. After that, MTM was suggested as a standard work process for further improvement of the current leanness value. The initial status of the organization showed a leanness value of 0.12. By applying 5S, the leanness level significantly improved to reach 0.19 and the simulation of MTM as a standard work method shows the leanness value could be improved to 0.31. The optimum leanness value of ABC was calculated to be 0.64. These leanness values provided a quantitative indication of the impacts of improvement initiatives in terms of the overall leanness level to the case organization. Sensitivity analsysis and a t-test were also performed to validate the model proposed. This research advances the current knowledge base by developing mathematical models and methodologies to overcome lean strategy selection and leanness assessment problems. By selecting appropriate lean strategies, a manufacturer can better prioritize implementation efforts and resources to maximize the benefits of implementing lean strategies in their organization. The leanness index is used to evaluate an organization's current (before lean implementation) leanness state against the state after lean implementation and to establish benchmarking (the optimum leanness state). Hence, this research provides a continuous improvement tool for a lean manufacturing organization.

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Cell-based therapy is considered a promising approach to achieving predictable periodontal regeneration. In this study, the regenerative potential of cell sheets derived from different parts of the periodontium (gingival connective tissue, alveolar bone and periodontal ligament) were investigated in an athymic rat periodontal defect model. Periodontal ligament (PDLC), alveolar bone (ABC) and gingival margin-derived cells (GMC) were obtained from human donors. The osteogenic potential of the primary cultures was demonstrated in vitro. Cell sheets supported by a calcium phosphate coated melt electrospun polycaprolactone (CaP-PCL) scaffold were transplanted to denuded root surfaces in surgically created periodontal defects, and allowed to heal for 1 and 4 weeks. The CaP-PCL scaffold alone was able to promote alveolar bone formation within the defect after 4 weeks. The addition of ABC and PDLC sheets resulted in significant periodontal attachment formation. The GMC sheets did not promote periodontal regeneration on the root surface and inhibited bone formation within the CaP-PCL scaffold. In conclusion, the combination of either PDLC or ABC sheets with a CaP-PCL scaffold could promote periodontal regeneration, but ABC sheets were not as effective as PDLC sheets in promoting new attachment formation.

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Social media adoption in Australia, which provides the geographic focus for this chapter, has been rapid and substantial (ABC News, 2010) – possibly because of the considerable dispersal of the Australian population across the continent, as well as the significant distance of the country from many of its closest partner nations. Social media can play an important role in strengthening and maintaining interpersonal and professional relationships in spite of such physical distance; in particular, social media services are now well-recognised as important tools for the dissemination of news across many developed nations. Hermida (2010) and Burns (2010) both speak of Twitter as a medium for “ambient news”, for example: always-on, operating as a steady stream in the background and at the edge of users’ conscious perception. Much as ambient music is designed to do, it comes to the fore when notable events (such as major breaking news) lead to an increase in volume and demand a greater level of attention from users.

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For the past two decades the concept of managing individual difference in the workforce has been popular in many Western organizations, with calls to manage this "diversity" for the greater good of the organization and the\ individuals in it. Paradoxically, there is no agreed definition for this concept, and its description remains unclear and often contested (Jensen, Maznevski & Schneider 2011). Indeed, a range of terms is used, including diversity: diversity at work, managing diversity, diversity management, workplace diversity, productive diversity, and so forth. The foundation of the concept of managing diversity is the idea that an organization's workforce displays a range of “diverse” characteristics. The characteristics that are included under the heading Of "diversity" vary.

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Indirect inference (II) is a methodology for estimating the parameters of an intractable (generative) model on the basis of an alternative parametric (auxiliary) model that is both analytically and computationally easier to deal with. Such an approach has been well explored in the classical literature but has received substantially less attention in the Bayesian paradigm. The purpose of this paper is to compare and contrast a collection of what we call parametric Bayesian indirect inference (pBII) methods. One class of pBII methods uses approximate Bayesian computation (referred to here as ABC II) where the summary statistic is formed on the basis of the auxiliary model, using ideas from II. Another approach proposed in the literature, referred to here as parametric Bayesian indirect likelihood (pBIL), we show to be a fundamentally different approach to ABC II. We devise new theoretical results for pBIL to give extra insights into its behaviour and also its differences with ABC II. Furthermore, we examine in more detail the assumptions required to use each pBII method. The results, insights and comparisons developed in this paper are illustrated on simple examples and two other substantive applications. The first of the substantive examples involves performing inference for complex quantile distributions based on simulated data while the second is for estimating the parameters of a trivariate stochastic process describing the evolution of macroparasites within a host based on real data. We create a novel framework called Bayesian indirect likelihood (BIL) which encompasses pBII as well as general ABC methods so that the connections between the methods can be established.

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Online storytelling spaces provide young people who live in rural and remote parts of Australia with an opportunity to develop their personal identities and connect and communicate with other young people. The Australian Broadcasting Corporation’s (ABC’s) rural and regional youth network, Heywire, is such a space (http://www.abc.net.au/heywire/). Heywire invites 16-22 year old Australians who identify as ‘rural’ or ‘regional’ to create an online profile and upload stories about their lives in the form of text, audio, video or photographs. Emerging from my PhD project, this paper describes how rural and regional youth perform their identities through creating stories for the Heywire website, addressing notions of individual and social identities as a sub-theme. Compared with their city counterparts, the youth who live in regional towns or isolated properties have fewer opportunities to socialise with other people their own age. Subsequently computer mediated technologies, particularly the internet, can enable this group of people to connect with each other and develop a sense of community. In this paper I outline how these possibilities exist within an online storytelling space. I describe a number of reasons for young people’s story-sharing on the Heywire website in order to demonstrate the potential for spaces such as this to enable isolated youth to experience a sense of connection and belonging, despite geographical dispersion and physical isolation.

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Background Matrix metalloproteinase (MMP)-9 is an endopeptidase that digests basement membrane type-IV collagen. Enhanced expression has been related to tumour progression in a number of systems. The control of MMP expression is complex, but recently epidermal growth actor receptor (EGFR) activity has been implicated in up-regulation of MMP-9 in tumour cells in vitro. Aims To evaluate interrelations between MMP-9 and EGFR expression in non-small cell lung cancer (NSCLC) and to assess the impact of expression on survival. Methods This is a retrospective study of 152 patients who underwent resection for stage I-IIIa NSCLC with a post-operative survival >60 days. Minimum follow-up was 2 years. Standard ABC immunohistochemistry was performed on 4μm paraffin-embedded sections from the tumour periphery using monoclonal antibodies to MMP-9 and EGFR. Results: MMP-9 was expressed in the tumour cells of 79/152 (52%) cases. EGFR expression was found in 86/152 (57%) cases [membranous 51/152 (34%), cytoplasmic 35/152 (23%)]. MMP-9 expression was associated with poor outcome (p=0.04). Membranous, cytoplasmic and overall EGFR expression were not associated with outcome (p=0.29, p=0.85 and p=0.41 respectively). There was a strong correlation between MMP-9 expression and EGFR expression (p=0.001) and EGFR membranous expression (p=0.01) but not with cytoplasmic EGFR expression (p=0.28). Co-expression of MMP-9 and EGFR (36%) conferred a worse prognosis (p=0.003). Subset analysis revealed only MMP-9 and membranous EGFR co-expression (22%) was associated with poor outcome (p=0.008). Conclusions Our results show that MMP-9 and EGFR are co-expressed in NSCLC. This finding suggests the EGFR signalling pathway may play an important role in the invasive behaviour of NSCLC via specific upregulation of MMP-9. The co-expression of these markers also confers a poor prognosis.

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Background Matrix metalloproteinases (MMPs) are a family of endopeptidases that digest the extracellular matrix (ECM). Overexpression of different MMPs has been shown to promote tumour cell invasion in vitro. Tissue inhibitors of matrix metalloproteinases (TIMPs) are specific inhibitors of MMPs that also possess growth-promoting properties. Aims To analyse the expression profile of MMP-2, MMP-9 and TIMP-2 in non-small cell lung cancer (NSCLC) and to assess the impact of expression on survival. Methods This is a retrospective study of patients who underwent resection for stage I-IIIa NSCLC with a post-operative survival >60 days. Patient follow up was a minimum of 2 years. Standard ABC immunohistochemistry was performed on 4μm paraffin-embedded sections from the tumour periphery using monoclonal antibodies to MMP-2, MMP-9 and TIMP-2. Results The results of the immunohistochemistry are set out below. marker tumour expression log-rank survival stromal expression log-rank survival MMP-2 9/72 (13%) p=0.10 34/72 (47%) p=0.34 MMP-9 79/152 (52%) p=0.04* 69/152 (45%) p=0.84 TIMP-2 28/90 (31%) p=0.04* 66/90 (73%) p=0.90 Two or more 16/59 (27%) p=0.007* There were no associations between expression and clinicopathological findings for any tumour marker. There was co-expression of MMP-2 and MMP-9 in tumour cells (p=0.01). Conclusions MMP-2, MMP-9 and TIMP-2 are expressed in NSCLC. MMP-9 and TIMP-2 tumour expression correlate with a poor outcome (both p=0.04) and are potential prognostic markers for NSCLC. Cumulative expression of two or more MMPs/TIMPs may also have increased prognostic significance. Proteases and their inhibitors are novel targets for therapeutic intervention and should be evaluated in NSCLC.

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Background: Microvessel density, an indirect measure of angiogenesis, has been shown to be an independent prognostic marker in many solid tumours including non-small cell lung cancer (NSCLC). Platelets transport and release angiogenic growth factors. Platelets are increasingly likely to adhere to tumour microvessels due to raised expression of platelet-binding proteins and stasis in blood-flow. Increased vascular permeability in tumour microvessels facilitates platelet extravasation into the extracellular matrix. Adherence and extravasation both lead to platelet activation and release of growth factors capable of instigating the angiogenic process. Methods: A total of 181 patients were identified who underwent resection of stage I-IIIa NSCLC with a post-operative survival >60 days. Patients were followed-up for a minimum of 24 months. Sections from the tumour periphery were stained for the endothelial marker CD34 (Novocastra NCL-END) using standard ABC immunohistochemistry. Chalkley counting was used to assess microvessel density. Results: A pre-operative platelet count greater than the median and above the normal range (>400) was associated with a poor outcome (P = 0.01 and P = 0.04, respectively). Tumours with an above median and high Chalkley count (upper tertile) had a worse prognosis (P = 0.007 and P = 0.0006, respectively). There was no association between platelet count and Chalkley count. Conclusions: Platelet and microvessel counts are both potential prognostic markers for NSCLC. The role of platelets in the angiogenic process needs to be further investigated. (C) 2000 Elsevier Science Ireland Ltd.