345 research outputs found

    The Cover Pebbling Number of Graphs

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    A pebbling move on a graph consists of taking two pebbles off of one vertex and placing one pebble on an adjacent vertex. In the traditional pebbling problem we try to reach a specified vertex of the graph by a sequence of pebbling moves. In this paper we investigate the case when every vertex of the graph must end up with at least one pebble after a series of pebbling moves. The cover pebbling number of a graph is the minimum number of pebbles such that however the pebbles are initially placed on the vertices of the graph we can eventually put a pebble on every vertex simultaneously. We find the cover pebbling numbers of trees and some other graphs. We also consider the more general problem where (possibly different) given numbers of pebbles are required for the vertices.Comment: 12 pages. Submitted to Discrete Mathematic

    Security Council Resolution 1973 on Libya: A Moment of Legal & Moral Clarity

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    The alcohol improvement programme: evaluation of an initiative to address alcohol-related health harm in England

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    Aims: The evaluation aimed to assess the impact of The Alcohol Improvement Programme (AIP). This was a UK Department of Health initiative (April 2008–March 2011) aiming to contribute to the reduction of alcohol-related harm as measured by a reduction in the rate of increase in alcohol-related hospital admissions (ARHAs). Methods: The evaluation (March 2010–September 2011) used a mix of qualitative and quantitative methods to assess the impact of the AIP on ARHAs, to describe and assess the process of implementation, and to identify elements of the programme which might serve as a ‘legacy’ for the future. Results: There was no evidence that the AIP had an impact on reducing the rise in the rate of ARHAs. The AIP was successfully delivered, increased the priority given to alcohol-related harm on local policy agendas and strengthened the infrastructure for the delivery of interventions. Conclusion: Although there was no measurable short-term impact on the rise in the rate of ARHAs, the AIP helped to set up a strategic response and a delivery infrastructure as a first, necessary step in working towards that goal. There are a number of valuable elements in the AIP which should be retained and repackaged to fit into new policy contexts

    Students’ time spent on learning, study strategies and learning outcomes

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    This study examines the relationships between students’ perceptions of heavy study load, time spent on learning, study strategies, and learning outcomes. Student’s study strategies were measured with a short version of Vermunt’s Inventory of Learning Styles. It was possible to replicate 5 processing and 5 regulation strategies. The higher order dimensions meaning directed learning style (relate and structure, concrete processing, critical processing) and reproduction directed learning style (memorize and repeat, analyze, self-regulation of contents, process and results, external regulation of the learning process) differed from Vermunt. The scales showed differences across groups, which is in line with previous research. Linear structural analysis showed that reproduction directed learning precedes meaning directed learning. Only meaning directed learning affected GPA, the influence of the two learning styles on ECs was not evidenced in this study. Contact hours influenced ECs, but this effect was tempered through its negative association with a heavy study load. The limitations, implications for practice, and directions for further research and development will be discussed in the round table

    Ascension

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    https://digitalcommons.georgiasouthern.edu/ascen/1000/thumbnail.jp

    Electronic health record: integrating evidence-based information at the point of clinical decision making

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    The authors created two tools to achieve the goals of providing physicians with a way to review alternative diagnoses and improving access to relevant evidence-based library resources without disrupting established workflows. The “diagnostic decision support tool” lifted terms from standard, coded fields in the electronic health record and sent them to Isabel, which produced a list of possible diagnoses. The physicians chose their diagnoses and were presented with the “knowledge page,” a collection of evidence-based library resources. Each resource was automatically populated with search results based on the chosen diagnosis. Physicians responded positively to the “knowledge page.

    Perceptions on the role of evidence: an English alcohol policy case study

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    This paper explores the competing influences which inform public health policy and describes the role that research evidence plays within the policy-making process. In particular it draws on a recent English alcohol policy case study to assess the role of evidence in informing policy and practice. Semi-structured interviews with key national, regional and local policy informants were transcribed and analysed thematically. A strong theme identified was that of the role of evidence. Findings are discussed in the context of competing views on what constitutes appropriate evidence for policy-making

    Feasibility of mHealth technology use among a sample of isolated rural men at high risk for cardiovascular disease

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    Purpose/Hypothesis: Isolated rural men are considered a health disparities group at high risk for cardiovascular disease. The increasing availability of technologies for self-monitoring for healthy eating, activity and weight loss (ie mHealth) may show promise for engaging rural men in lifestyle modification. This study investigated the feasibility of men from rural isolated areas to use a fitness monitor with text messaging support over a 3- week period. The study examined the men’s daily monitor use for tracking activity and eating, and assessed via written survey, their perspectives about mHealth. Number of Subjects: Twelve men, ages 40 to 69, from a US Department of Agriculture defined isolated rural area, participated. These men were a purposive sample originally recruited to participate in a focus group about their perceptions of the utility of mHealth. The men (50.9 6 8.6 yrs) had a baseline BMI of 25 to 44 kg/m2 (34.8 6 6.6 kg/m2). Eligibility included having cell/smartphones capable of sending/ receiving text messages, access to a computer, willing to use a fitness monitor and have research personnel access the men’s logs. Materials/Methods: Men participated in 2 visits at a community center located within 70 miles of their residence, at baseline and 3 weeks. Assessments included baseline health histories and vital sign biomarkers. The men received training using the fitness monitor with supporting technologies (cell/ smartphone and computer) and were asked to wear the monitor daily for 3 weeks. Men received 1–3 text messages/day for 3 weeks for reminders, education and motivation for self-monitoring. At visit 2, men completed post-intervention surveys about their fitness monitoring. Descriptive data were used for analysis. Results: Men were overweight (n 5 3) or obese (n 5 9) and most (9/12) were hypertensive with only four being treated with medications. One man was hypertensive stage 2 under no treatment and another was pre-hypertensive. Nine of 12 men wore the monitor during all 21 days, two wore it 9 and 15 days respectively and one lost the monitor. Survey data of the 12 men revealed seven checking their step count more than 5 times/day, 6 reported using the associated smart phone app and seven used the optional sleep log feature. Eleven of 12 men manually entered food into the log and most (9/12) did this on $15 days. Ten men indicated the log was helpful in learning about eating; though only 3 indicated it was easy to log food. All men reported reading reminder and motivational text messages sent during the study and 11 plan to continue using the fitness monitor. Conclusions: Men were not well managed for blood pressure or overweight/obesity. Both the log records and the survey results indicated that using fitness monitors was feasible and acceptable among this population. Clinical Relevance: Using mHealth appears feasible as an action-oriented tool for therapists to recommend for lifestyle self-monitoring in isolated rural men. The findings reinforce the important role of therapists in routinely assessing vital signs and making referrals as appropriate
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