7 resultados para Topics

em Deakin Research Online - Australia


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Current growth of individuals on the autism spectrum disorder (ASD) requires continuous support and care. With the popularity of social media, online communities of people affected by ASD emerge. This paper presents an analysis of these online communities through understanding aspects that differentiate such communities. In this paper, the aspects given are not expressed in terms of friendship, exchange of information, social support or recreation, but rather with regard to the topics and linguistic styles that people express in their on-line writing. Using data collected unobtrusively from LiveJournal, we analyze posts made by ten autism communities in conjunction with those made by a control group of standard communities. Significant differences have been found between autism and control communities when characterized by latent topics of discussion and psycholinguistic features. Latent topics are found to have greater predictive power than linguistic features when classifying blog posts as either autism or control community. This study suggests that data mining of online blogs has the potential to detect clinically meaningful data. It opens the door to possibilities including sentinel risk surveillance and harnessing the power in diverse large datasets.

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Meal-break conversational samples were collected from 34 nondisabled participants across four worksites. The samples were analyzed for topics referenced and also for patterns of topics associated with days of the week. The results of the analysis indicated that the participants referenced 73 different topics. Analysis of the 10 most frequently referenced topics in each composite day file revealed 19 topics, of which 5 (i.e., work, fact finding, judgments, food, and family life) were referenced every day. Analysis of the number of communication segments in each of the 19 topics indicated that fact finding was the most frequently referenced topic, but work was the largest topic (i.e., contained the greatest number of words). There was some pattern to topic reference associated with the day of the week. Implications of this information for individuals with severe communication impairments who wish to access the work force are discussed.

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There is little evidence-based information available to guide adults in the general community on communicating effectively with adolescents about mental health problems or other sensitive topics. The Delphi methodology was used to develop guidelines to fill this evidence gap. An online questionnaire containing potential guideline statements was developed following a literature search and input from two focus groups. Two expert panels (Youth Mental Health First Aid instructors and young consumer advocates) rated the questionnaire over three rounds, according to whether or not they believed that the statements should be included in the guidelines. Results were analyzed by comparing endorsement rates between the panels. Of the 175 statements presented, 80 were rated as essential or important by ≥90% of both panels and were included in the guidelines. The Delphi process has offered an effective way to achieve consensus between expert panels on useful tips to help adults communicate with adolescents.

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Preventive neuroradiology is a new concept supported by growing literature. The main rationale of preventive neuroradiology is the application of multimodal brain imaging toward early and subclinical detection of brain disease and subsequent preventive actions through identification of modifiable risk factors. An insightful example of this is in the area of age-related cognitive decline, mild cognitive impairment, and dementia with potentially modifiable risk factors such as obesity, diet, sleep, hypertension, diabetes, depression, supplementation, smoking, and physical activity. In studying this link between lifestyle and cognitive decline, brain imaging markers may be instrumental as quantitative measures or even indicators of early disease. The purpose of this article is to provide an overview of the major studies reflecting how lifestyle factors affect the brain and cognition aging. In this hot topics review, we will specifically focus on obesity and physical activity.

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Multi-task learning offers a way to benefit from synergy of multiple related prediction tasks via their joint modeling. Current multi-task techniques model related tasks jointly, assuming that the tasks share the same relationship across features uniformly. This assumption is seldom true as tasks may be related across some features but not others. Addressing this problem, we propose a new multi-task learning model that learns separate task relationships along different features. This added flexibility allows our model to have a finer and differential level of control in joint modeling of tasks along different features. We formulate the model as an optimization problem and provide an efficient, iterative solution. We illustrate the behavior of the proposed model using a synthetic dataset where we induce varied feature-dependent task relationships: positive relationship, negative relationship, no relationship. Using four real datasets, we evaluate the effectiveness of the proposed model for many multi-task regression and classification problems, and demonstrate its superiority over other state-of-the-art multi-task learning models

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Four peer-reviewed nephrology nursing society journal publications from 2010 to 2015 were analysed. Journal articles (n=638) were categorised into type, treatment cohort, specific topic and research methods. Primary research (40%) were the most frequent types of publications, followed by systematic reviews (25%) and case studies (16%). Publication patient cohorts were dominated by haemodialysis (41%), followed by chronic kidney disease (15%), kidney transplantation (14%), peritoneal dialysis (12%) and end-of-life care (9%). The most frequent specific topics were vascular access (56 publications), nutrition (35), patient self-management (31), medications (26) and patient quality of life (24). The case study was the most popular method of publishing clinical experience, while cross-sectional survey was the most published research method, followed by qualitative research approaches. There were a low number of publications addressing cost and new therapies.