13,383 research outputs found
Computer program generates averaged value data tapes
Computer program generates a magnetic output tape containing time and averaged data values of a specified number of major frames over a specified time interval. A decommutation system is used to acquire the raw data, which is then reformatted and averaged
Identifying trends and flows in Communication and Information Processing by means of keyword network analysis
The purpose of this paper is to identify influential themes and knowledge flows in the area of communications and information processing and suggest trends that are likely to make (or continue making) an impact. We applied keyword network analysis on articles whose keywords match the themes of the International Conference on Communication and Information Processing, collected through the Thompson Reuters’ Web of Science and studied the articles’ thematic interconnections and their dynamics. The keyword network was found to be clustered around the themes cloud, data, mobile, security, semantic and social. Security and embeddedness are found to be the most dominant topics, common to all groups. Design and performance are key influencers of thematic flows and data mining/analysis are close to all nodes/keywords and therefore most popular. Big data, data fusion/integration and e-government are themes identified as potentially strong future influencers
Interview 2000.09 William Watkins
This interview was conducted by former Longwood professor Dr. Susan Bagby who interviewed William Watkins. Mr. Watkins was mayor of Farmville in the 1960s and he discusses the school closings in Prince Edward County. He talks about the meeting of white citizens held in Jarman Auditorium in 1955, and his perceptions of race relations before and after the school closings.
Written transcription is not complete. Please review audio files in addition to transcript
Analysis of rolling group therapy data using conditionally autoregressive priors
Group therapy is a central treatment modality for behavioral health disorders
such as alcohol and other drug use (AOD) and depression. Group therapy is often
delivered under a rolling (or open) admissions policy, where new clients are
continuously enrolled into a group as space permits. Rolling admissions
policies result in a complex correlation structure among client outcomes.
Despite the ubiquity of rolling admissions in practice, little guidance on the
analysis of such data is available. We discuss the limitations of previously
proposed approaches in the context of a study that delivered group cognitive
behavioral therapy for depression to clients in residential substance abuse
treatment. We improve upon previous rolling group analytic approaches by fully
modeling the interrelatedness of client depressive symptom scores using a
hierarchical Bayesian model that assumes a conditionally autoregressive prior
for session-level random effects. We demonstrate improved performance using our
method for estimating the variance of model parameters and the enhanced ability
to learn about the complex correlation structure among participants in rolling
therapy groups. Our approach broadly applies to any group therapy setting where
groups have changing client composition. It will lead to more efficient
analyses of client-level data and improve the group therapy research
community's ability to understand how the dynamics of rolling groups lead to
client outcomes.Comment: Published in at http://dx.doi.org/10.1214/10-AOAS434 the Annals of
Applied Statistics (http://www.imstat.org/aoas/) by the Institute of
Mathematical Statistics (http://www.imstat.org
Time-Utilization of a Population of General Practitioners in a Prepaid Group Practice
A population of seven general surgeons in a prepaid group practice previously shown to have a mean operative work load of 9.2 HE per week were found to have a mean standardized seven day working week of 56.2 hours exclusive of evening activities. The surgeons also devoted a mean of 6.7 evening hours to professional activities for a total working week of 62.9 hours. Comparisons of the time utilization of this population of general surgeons with a population of previously studied community surgeons revealed that the prepaid group surgeons were able to maintain a surgical output more than double that of the community surgeons without having to devote twice as much time to professional activities. Economies in the utilization of surgical manpower in the prepaid group appear to stem from geographic and specialty restrictions on the scope of work of the surgeons, from a reduction of waiting time in the office, and from the utilization of paraprofessional personnel for operative assisting.
Inflated responsibility and perfectionism in child and adolescent anorexia
Objective: The aim of the pilot study was to investigate the cognitive biases of inflated responsibility (IR) and perfectionism in children and adolescents with a diagnosis of Anorexia Nervosa
(AN). An additional aim was to provide a preliminary investigation into whether there is an interaction effect with AN severity,
measured by body mass index (BMI). Method: A cross-sectional multi-site pilot study using standardised questionnaires was
conducted and 30 young people diagnosed with AN participated.
Results: Children and adolescents with AN reported significantly higher levels of IR and perfectionism, compared to published normative non-clinical data. Self-orientated perfectionism (SOP) was associated with frequency of IR thoughts. There was also a
significant interaction effect: young people who had a higher frequency of IR thoughts and SOP had lower BMIs.
Discussion: Further independent replication of these results is needed. IR and perfectionism should be considered in the assessment and treatment of child and adolescent AN, both in individual and systemic interventions. This research also adds to the growing body of literature examining cognitive biases of obsessive– compulsive disorder in an AN population, which may offer some
insight into the overlap between the two disorders
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