18,758 research outputs found

    Application of a news quality monitoring methodology

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    This set of case studies has two main purposes Case studies illustrating the usefulness of the quality monitoring framework set out in chapter one of The Future of Quality News Journalism: a cross-continental analysis The material that is produced below is still under development and may be modified when the final draft is produced shortly. a) Introduction This set of case studies has two main purposes. First, to provide examples of how the quality monitoring framework outlined in chapter one might be applied to online news stories of quality mainstream news providers. Second, to provide some representative sample evidence of the quality of the hard news provision of some of the best of the mainstream news providers. This is intended to back up the case for their continuing importance that is made within the bonus chapter (available only online at: HTTP://CLOK.UCLAN.AC.UK/7824) There are several things that it is important to emphasise. First, as chapter one makes clear, the preferred means of quality assessment would be via the kind of expert/professional panels outlined and suggested there. This should enhance the rigour of the evaluative process in so far as several pairs of expert eyes are likely to pick up inconsistencies in the application of that process in a way that would not be possible for one. Given that such panels do not yet exist to apply it and that the purpose here is mainly illustrative, the evaluations have been made by the author alone. That means that they should be treated with greater caution than had they been panel produced, but providing that is remembered it does not detract from their illustrative value. For the purposes of transparency and the need to provide readers with enough information to help them cross-check the judgments for themselves if they so wish, concise sample reasons are provided at the end of each piece as to why the individual quality ratings have been arrive

    Efficient MaxCount and threshold operators of moving objects

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    Calculating operators of continuously moving objects presents some unique challenges, especially when the operators involve aggregation or the concept of congestion, which happens when the number of moving objects in a changing or dynamic query space exceeds some threshold value. This paper presents the following six d-dimensional moving object operators: (1) MaxCount (or MinCount), which finds the Maximum (or Minimum) number of moving objects simultaneously present in the dynamic query space at any time during the query time interval. (2) CountRange, which finds a count of point objects whose trajectories intersect the dynamic query space during the query time interval. (3) ThresholdRange, which finds the set of time intervals during which the dynamic query space is congested. (4) ThresholdSum, which finds the total length of all the time intervals during which the dynamic query space is congested. (5) ThresholdCount, which finds the number of disjoint time intervals during which the dynamic query space is congested. And (6) ThresholdAverage, which finds the average length of time of all the time intervals when the dynamic query space is congested. For these operators separate algorithms are given to find only estimate or only precise values. Experimental results from more than 7,500 queries indicate that the estimation algorithms produce fast, efficient results with error under 5%

    Vocabulary knowledge and reading

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    Includes bibliographical references (p. 35-43)Supported in part by the National Institute of Education under contract no. US-NIE-C-400-76-011

    Serial position and rated importance in the recall of text

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    Includes bibliographiesSupported in part by the National Institute of Education under contract no. HEW-NIE-C-400-76-011

    Loop Equations and bootstrap methods in the lattice

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    Pure gauge theories can be formulated in terms of Wilson Loops correlators by means of the loop equation. In the large-N limit this equation closes in the expectation value of single loops. In particular, using the lattice as a regulator, it becomes a well defined equation for a discrete set of loops. In this paper we study different numerical approaches to solving this equation. Previous ideas gave good results in the strong coupling region. Here we propose an alternative method based on the observation that certain matrices ρ^\hat{\rho} of Wilson loop expectation values are positive definite. They also have unit trace (\hat{\rho}\succeq 0, \mbox{tr} \hat{\rho}=1), in fact they can be defined as density matrices in the space of open loops after tracing over color indices and can be used to define an entropy associated with the loss of information due to such trace S_{WL}=-\mbox{tr}[ \hat{\rho}\ln \hat{\rho}]. The condition that such matrices are positive definite allows us to study the weak coupling region which is relevant for the continuum limit. In the exactly solvable case of two dimensions this approach gives very good results by considering just a few loops. In four dimensions it gives good results in the weak coupling region and therefore is complementary to the strong coupling expansion. We compare the results with standard Monte Carlo simulations.Comment: LaTeX, 46 pages, 17 figures. v2: References adde

    Temporal and spatial variability in speakers with Parkinson's Disease and Friedreich's Ataxia

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    Speech variability in groups of speakers with Parkinson's disease (PD) and with Friedreich's ataxia was compared with healthy controls. Speakers repeated the same phrase 20 times at one of two rates (fast or habitual). A non-linear analysis of variability was performed which used some of the principles behind the spatio-temporal index (STI). The STI usually employs variation in lip displacement over repetitions of the same utterance and a linear analysis of such signals is conducted to represent the combined variation in spatial and temporal control. When working with patients, audio measures (here we used speech energy) are preferred over kinematics ones as they are minimally disruptive to speech. Non-linear methods allow spatial variability to be estimated separately from temporal variability. The results are tentatively interpreted as showing that PD speakers were distinguished from healthy control speakers in spatial variability and ataxic speakers were distinguished from controls in temporal variability. These findings are consistent with the speech symptoms reported for these disorders. We conclude that the non-linear analysis using the speech energy measure is worth investigating further as it is potentially revealing of the differences underlying these two pathologies
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