990 resultados para conditional expected utility


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Glutathione is an endogenous antioxidant and has a ubiquitous role in many of the body’s defences. Treatment with N -acetylcysteine (NAC) has been shown to increase levels of glutathione. NAC has been proposed as a treatment for several illnesses. Objectives : The efficacy and tolerability of NAC was examined across a range of conditions to evaluate the evidence supporting the use of NAC for each indication. Methods : A literature search was conducted using PubMed. Information was also collected from other online sources including the websites of the Therapeutic Goods Administration of Australia and the FDA. Results : Reports ranged from case studies to clinical trials. There is strong evidence to support the use of NAC for the treatment of paracetamol overdose and emerging evidence suggesting it has utility in psychiatric disorders, particularly schizophrenia and bipolar disorder. NAC is safe and well tolerated when administered orally but has documented risks with intravenous administration.

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Antidepressant monotherapy is a first-line treatment for depression; however, not all sufferers will adequately respond to treatment. When treating a patient with treatment-resistant depression, the clinician needs to consider all factors which may contribute to an inadequate response to an antidepressant. These include accuracy of diagnosis and medication adherence, as well as the patient’s personality, lifestyle, life events and social circumstances. If it is determined that treatment resistance is due to failure of efficacy of antidepressant monotherapy, then an augmentation strategy using an atypical antipsychotic may be considered. Treatment using olanzapine/fluoxetine combination (OFC) is one of many options. Four randomized, acute-phase trials have suggested OFC is useful for reducing Montgomery–Åsberg Depression Rating Scale scores after inadequate response to antidepressant monotherapy. OFC has been useful at doses of olanzapine/fluoxetine 6/25, 6/50, 12/25 and 12/50 mg/day, with 1/5 mg/day suggested to be an ineffective dose. Treatment with OFC has been associated with some side effects, including weight gain and the metabolic syndrome, somnolence, dry mouth, increased appetite and headache. Treatment decisions therefore need to be made to balance the risks and benefits.

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Objective. Comorbid mental illness amongst methadone maintenance therapy clients may be common and screening may be warranted. The Mood Disorders Questionnaire (MDQ) is a screening tool for bipolar disorder that has been validated in other treatment settings. Its utility for patients with substance use disorders is assessed in this study.

Methods. Clients of a methadone maintenance program were invited to complete the MDQ when they attended a public Drug and Alcohol Service for their regular scheduled appointments. Information about their history of substance use was also collected.

Results. Eighty clients (43 females, 37 males) aged 35 8.0 years (mean SD) participated in the study. Seventy-four clients completed the MDQ of which 36 (48.6%) obtained a positive screen. A check of client fi les suggested that only three of the 74 participants had a current working diagnosis of bipolar disorder. These three participants had screened positive on the MDQ.

Conclusions. There was a high prevalence of manic symptoms reported by participants, suggesting that screening for bipolar disorder in this population may be warranted. However, there is a risk of false positives with the MDQ, as it does not clearly differentiate between symptoms of mania and drug intoxication.

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Background The quality of behaviour support plans (BSPs) can be an important influence on the quality of the support provided to people with disability who show challenging behaviours. The Behavior Support Plan Quality Evaluation Guide II (BSP-QE II) is one tool that may be useful in assessing the quality of behaviour support plans. It has previously been used to assess BSPs to support children in schools in the USA. In this preliminary study, we examined the utility of the BSP-QE II for assessing behaviour support plans designed for adults with an intellectual disability in community support services in Australia.

Method  Experienced practitioners were surveyed concerning the relevance of BSP-QE II components to the evaluation of BSPs in Australia, and an audit was conducted of randomly selected BSPs submitted as a statutory requirement to the Office of the Senior Practitioner.

Results  The BSP-QE II showed evidence of acceptable construct validity and interrater reliability. There was evidence of a need for substantial improvement in the quality of BSPs, consistent with previous findings conducted using other audit tools.

Conclusions The findings support the utility of the BSP-QE II, to inform and evaluate service planning in supporting adults with intellectual disability who show challenging behaviour.

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Objective : To explore the relationship between overweight/obesity and utility in adolescents.

Methods : Data were collected from 2890 adolescents attending 13 secondary schools in the state of Victoria, Australia. The Assessment of Quality of Life 6-Dimension (AQoL-6D) questionnaire was used to measure individual utility. Adolescent's height and weight were measured and weight status categories assigned according to the World Health Organization adolescent growth standards. Multivariate linear regression analyses were undertaken for the whole population and subpopulations of boys and girls to estimate the mean differences in utility scores between 1) overweight and healthy weight and 2) obese and healthy weight adolescents, while controlling for demographic and socioeconomic status variables.

Results : The mean age of adolescents was 14.6 years, 56.2% were boys, 22.2% were overweight, and 9.4% were obese. The mean utility of healthy weight adolescents was 0.860. After adjustments, the overweight and obese groups reported significantly lower mean utility scores (differences: −0.018 and −0.059, respectively, relative to the healthy weight group). This can be interpreted as equivalent to a stated willingness to sacrifice 1.8% and 5.9% of a life in perfect health or 2.3% and 6.8% of a life at healthy weight. A significant utility difference associated with overweight was only experienced by girls (−0.039, P = 0.003). Both sexes experienced significant utility differences associated with obesity, but the magnitude was double for girls (−0.084, P < 0.001) relative to boys (−0.041, P = 0.022).

Conclusion : Utility is lower among overweight and more so among obese adolescents.

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The focus of this paper is on the community impact of education research, as conceived specifically within a changing context of research assessment in Australia, first mooted by the previous Federal Coalition (conservative) Government within a new Research Quality Framework (RQF), and now to be reworked by the Excellence in Research for Australia (ERA) initiated by the incoming Federal Labour (progressive) Government. Convinced that a penchant for the utility of research will not go away, irrespective of the political orientations of government, our interest is in exploring: the assumption that research, particularly in areas such as education, should have an impact in the community (as this was first defined within the RQF); the difficulties much education research (despite its “applied” characterisation) has in complying with this ideal; and what a community impact requirement means for the kinds of education research that will be privileged in the future. In particular, we are concerned about the potential narrowing of education research directed at or by community impact and what is lost in the process. One potential loss or weakening is in the positional autonomy of higher education to conduct independent education research.

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Automatic human action recognition has been a challenging issue in the field of machine vision. Some high-level features such as SIFT, although with promising performance for action recognition, are computationally complex to some extent. To deal with this problem, we construct the features based on the Distance Transform of body contours, which is relatively simple and computationally efficient, to represent human action in the video. After extracting the features from videos, we adopt the Conditional Random Field for modeling the temporal action sequences. The proposed method is tested with an available standard dataset. We also testify the robustness of our method on various realistic conditions, such as body occlusion or intersection.

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Background: Initiatives to promote utility cycling in countries like Australia and the US, which have low rates of utility cycling, may be more effective if they first target recreational cyclists. This study aimed to describe patterns of utility cycling and examine its correlates, among cyclists in Queensland, Australia.

Methods
: An online survey was administered to adult members of a state-based cycling community and advocacy group (n=1813). The survey asked about demographic characteristics and cycling behavior, motivators and constraints. Utility cycling patterns were described, and logistic regression modeling was used to examine associations between utility cycling and other variables.

Results
: Forty-seven percent of respondents reported utility cycling: most did so to commute (86%). Most journeys (83%) were >5 km. Being male, younger, employed full-time, or university-educated increased the likelihood of utility cycling (p<0.05). Perceiving cycling to be a cheap or a convenient form of transport were associated with utility cycling (p<0.05).

Conclusions
: The moderate rate of utility cycling among recreational cyclists highlights a potential to promote utility cycling among this group. To increase utility cycling, strategies should target female and older recreational cyclists and focus on making cycling a cheap and convenient mode of transport.

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This paper challenges the assumption within Economics that the relationship between money and subjective wellbeing is determined by processes of cognitive comparison. An alternative explanation for such well known phenomena as the Easterlin Paradox and Decreasing Marginal Utility are provided through a consideration of affect. The theoretical basis for such explanations relies on theory from Psychology usually overlooked by Economists, such as affect heuristics and Subjective Wellbeing Homeostasis. The presented evidence for this alternative source of explanation melds psychological theory with empirical data. It is concluded that affective processes offer a coherent alternative explanation for the phenomena under discussion.

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Inspired by the hierarchical hidden Markov models (HHMM), we present the hierarchical semi-Markov conditional random field (HSCRF), a generalisation of embedded undirected Markov chains to model complex hierarchical, nested Markov processes. It is parameterised in a discriminative framework and has polynomial time algorithms for learning and inference. Importantly, we develop efficient algorithms for learning and constrained inference in a partially-supervised setting, which is important issue in practice where labels can only be obtained sparsely. We demonstrate the HSCRF in two applications: (i) recognising human activities of daily living (ADLs) from indoor surveillance cameras, and (ii) noun-phrase chunking. We show that the HSCRF is capable of learning rich hierarchical models with reasonable accuracy in both fully and partially observed data cases.

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The aim of this work is to devise an effective method for static summarization of home video sequences. Based on the premise that the user watching a summary is interested in people related (how many, who, emotional state) or activity related aspects, we formulate a novel approach to video summarization that works to specifically expose relevant video frames that make the content spotting tasks possible. Unlike existing approaches, which work on low-level features which often produce the summary not appealing to the viewer due to the semantic gap between low-level features and high-level concepts, our approach is driven by various utility functions (identity count, identity recognition, emotion recognition, activity recognition, sense of space) that use the results of face detection, face clustering, shot clustering and within cluster frame alignment. The summarization problem is then treated as the problem of extracting the set of key frames that have the maximum combined utility.