945 resultados para user-created content


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Introduction Measuring occupational performance is an essential part of clinical practice; however, there is little research on service user perceptions of measures. The aim of this investigation was to explore the acceptability and utility of one occupational performance outcome measure, Goal Attainment Scaling, with young people (12–25 years old) seeking psychological help. Method Semi-structured interviews were conducted with ten young people seeking help from a youth mental health clinic. Interviews were audio taped and a field diary kept. Interviews were transcribed verbatim and analysed using content analysis. Results were verified by member checking. Results All participants were able to engage in using Goal Attainment Scaling to set goals for therapy, and reported the process to be useful. The participants identified the physical location and ownership of the scale was important to help motivate them to work on their goals. Conclusion Young help-seekers see Goal Attainment Scaling as an acceptable tool to facilitate the establishment of functional goals. Young service users were particularly keen to maintain control over the physical location of completed forms.

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In pavement design, resilient modulus of a pavement material is one of the key design parameters. Resilient modulus of a granular pavement material can be measured using repeated load Triaxial (RLT) test or estimated using empirical models. For conventional granular pavement materials, a significant amount of resilient modulus data and empirical models to estimate this key design parameter are available. However, RCA is a relatively new granular pavement material and therefore no such data or empirical models are available. In this study, a number of RLT tests were conducted on RCA sample to investigate the effects of moisture content on its resilient modulus (Mr). It was observed that the resilient modulus of RCA increased with a number of loading cycles but decreased as the moisture content was increased. Further, using RLT test results, empirical models to estimate the resilient modulus of RCA were enhanced and validated.

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Evidence is needed for the acceptability and user preferences of receiving skin cancer-related text messages. We prepared 27 questions to evaluate attitudes, satisfaction with program characteristics such as timing and spacing, and overall satisfaction with the Healthy Text program in young adults. Within this randomised controlled trial (age 18-42 years), 546 participants were assigned to one of three Healthy Text message groups; sun protection, skin self-examination, or attention-control. Over a 12-month period, 21 behaviour-specific text messages were sent to each group. Participants’ preferences were compared between the two interventions and control group at the 12-month follow-up telephone interview. In all three groups, participants reported the messages were easy to understand (98%), provided good suggestions or ideas (88%), and were encouraging (86%) and informative (85%) with little difference between the groups. The timing of the texts was received positively (92%); however, some suggestions for frequency or time of day the messages were received from 8% of participants. Participants in the two intervention groups found their messages more informative, and triggering behaviour change compared to control. Text messages about skin cancer prevention and early detection are novel and acceptable to induce behaviour change in young adults.

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Social media enable advertising agencies to engage directly with the public by participating in-and observing-real conversations. The current study recruited a Delphi panel to explore how some of the world's leading advertising professionals view the use of social media to test, track, and evaluate advertising campaigns and how they identify related risks and ethical considerations. The findings suggest that agencies primarily use social media as a tool for understanding consumers and igniting insight, not as a means of testing creative ideas. The authors believe this research provides an important benchmark of agency best practice in social-media research and outlines ethical implications.

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Design deals with improving the lives of people. As such interactions with products, interfaces, and systems should facilitate not only usable and practical concerns but also mediate emotionally meaningful experiences. This paper presents an integrated and comprehensive model of experience, labeled 'Unified User Experience Model', covering the most prominent perspectives from across the design field. It is intended to support designers from different disciplines to consider the complexity of user experience. The vision of the model is to support both the analysis of existing products, interfaces, and systems, as well as the development of new designs that take into account this complexity. In essence, we hope the model can enable designers to develop more marketable, appropriate, and enhanced products to improve experiences and ultimately the lives of people.

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Enterococcus faecalis is a Gram-positive, coccus shaped, lactic acid bacterium, with demonstrated ubiquity across multiple anatomical sites. Enterococcus faecalis isolates have been isolated from clinical samples as the etiological agent in patients with overt infections, and from body sites previously thought to be sterile but absent of signs and symptoms of infection. E. faecalis is implicated in both human health and disease, recognized as a commensal, a probiotic and an opportunistic multiply resistant pathogen. E. faecalis has emerged as a key pathogen in nosocomial infections. E. faecalis is well equipped to avert recognition by host cell immune mediators. Antigenic cell wall components including lipotechoic acids are concealed from immune detection by capsular polysaccharides produced by some strains. Thereby preventing complement activation, the pro-inflammatory response, opsonisation and phagocytosis. E. faecalis also produces a suite of enzymes including gelatinase and cytolysin, which aid in both virulence and host immune evasion. The ability of enterococci to form biofilms in vivo further increases virulence, whilst simultaneously preventing detection by host cells. E. faecalis exhibits high levels of both intrinsic and acquired antimicrobial resistance. The mobility of the E. faecalis genome is a significant contributor to antimicrobial resistance, with this species also transferring resistance to other Gram-positive bacteria. Whilst E. faecalis is of increasing concern in nosocomial infections, its role as a member of the endogenous microbiota cannot be underestimated. As a commensal and probiotic, E. faecalis plays an integral role in modulating the immune response, and in providing endogenous antimicrobial activity to enhance exclusion or inhibition of opportunistic pathogens in certain anatomical niches. In this chapter we will review possible mediators of enterococcal transition from commensal microbe to opportunistic pathogen, considering isolates obtained from patients diagnosed with pathogenic infections and those obtained from asymptomatic patients.

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In Australia, international tourists/visitors are one of the highest risk groups for drowning at beaches. Swimming in patrolled areas, between the flags, reduces the risk of drowning with most drownings occuring outside these areas. There is a need to understand beliefs which influence the extent to which international tourists/visitors intend to swim between the flags. The theory of planned behaviour (TPB) and, in particular, the indirect beliefs which underpin constructs in the model, represent a means of determining what factors influence this intention. The current study compared international visitors/tourists as having either low or high intentions to swim between the flags on a range of behavioural, normative, and control beliefs. A series of MANOVAs revealed significant differences between the groups in all three of the beliefs. The findings provide insight into potential foci for message content for use in educational campaigns aimed at keeping international visitors safe on Australian beaches.

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Diagnosis of articular cartilage pathology in the early disease stages using current clinical diagnostic imaging modalities is challenging, particularly because there is often no visible change in the tissue surface and matrix content, such as proteoglycans (PG). In this study, we propose the use of near infrared (NIR) spectroscopy to spatially map PG content in articular cartilage. The relationship between NIR spectra and reference data (PG content) obtained from histology of normal and artificially induced PG-depleted cartilage samples was investigated using principal component (PC) and partial least squares (PLS) regression analyses. Significant correlation was obtained between both data (R2 = 91.40%, p<0.0001). The resulting correlation was used to predict PG content from spectra acquired from whole joint sample, this was then employed to spatially map this component of cartilage across the intact sample. We conclude that NIR spectroscopy is a feasible tool for evaluating cartilage contents and mapping their distribution across mammalian joint

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This study focuses on designing a community environment education center (CEEC) for Chillingham, as a hub for community transition to sustainability, redressing social fragmentation, youth unemployment, a high eco-footprint and economic rural decline due to globalisation. The ecologically sustainable development framework was delivered by integrating environment education and community development through project-based experiential learning. The development of Chillingham Community Centre involved case study research and incorporated participatory design charrettes, transformative learning, eco-positive development and community-public-private partnerships. This process evolved from community strategic planning in a small rural village buffering world heritage rainforests impacted by a rapidly expanding urban conurbation on Australia’s east coast. This community space encompasses socio-environmental flows connecting people to each other and the ecoscape to grow natural capital, community cohesion and empower eco-governance. Modelling passive solar design, on-site renewable energy/water/nutrient cycling, community garden/market and environment education programs sowed the seeds for a green local economy, demonstrating community capacity to participate in transition to sustainability. A small rural community can demonstrate to other communities that a CEEC enables people to meet their socio-environmental and economic needs locally and sustainably. The ecologically sustainable solution is holistic, all settlements need to be richly biodiverse, locally specific and globally wise.

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User profiling is the process of constructing user models which represent personal characteristics and preferences of customers. User profiles play a central role in many recommender systems. Recommender systems recommend items to users based on user profiles, in which the items can be any objects which the users are interested in, such as documents, web pages, books, movies, etc. In recent years, multidimensional data are getting more and more attention for creating better recommender systems from both academia and industry. Additional metadata provides algorithms with more details for better understanding the interactions between users and items. However, most of the existing user/item profiling techniques for multidimensional data analyze data through splitting the multidimensional relations, which causes information loss of the multidimensionality. In this paper, we propose a user profiling approach using a tensor reduction algorithm, which we will show is based on a Tucker2 model. The proposed profiling approach incorporates latent interactions between all dimensions into user profiles, which significantly benefits the quality of neighborhood formation. We further propose to integrate the profiling approach into neighborhoodbased collaborative filtering recommender algorithms. Experimental results show significant improvements in terms of recommendation accuracy.

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This study constructs performance prediction models to estimate the end-user perceived video quality on mobile devices for the latest video encoding techniques –VP9 and H.265. Both subjective and objective video quality assessments were carried out for collecting data and selecting the most desirable predictors. Using statistical regression, two models were generated to achieve 94.5% and 91.5% of prediction accuracies respectively, depending on whether the predictor derived from the objective assessment is involved. These proposed models can be directly used by media industries for video quality estimation, and will ultimately help them to ensure a positive end-user quality of experience on future mobile devices after the adaptation of the latest video encoding technologies.