Browsing by keyword "Data analysis"
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Baking Bytes into Bibliographic Brownies: Collect, Curate, Communicate, RepeatPurpose: This ongoing project enables a more comprehensive response to the changing nature of inquiry by integrating disparate sources of virtual and physical information into a flexible and dynamic institutional knowledge base. Setting/Participants/Resources: The John G. Wolbach Library serves the Cambridge-based Harvard-Smithsonian Center for Astrophysics and its approximately 450 Ph.D. scientists. Its collaborative relationship with the SAO/NASA Astrophysics Data System (ADS), and a beta application of the Mendeley Institutional Edition (MIE) provide us with a unique opportunity to try a new approach. Brief Description: The Wolbach Library uses a variety of in-house and vendor supplied databases to collect, curate, and manage its ever-expanding storehouse of information. This poster project describes how we are integrating existing e-resources with emerging technologies and tools in order to help us support our institutional mission. We have recently introduced a data rich Mendeley backbone to our community, which, combined with our internally curated bibliography, will allow us to provide a more comprehensive view of our research community. Results/Outcome: Approximately 18% of our users are now using Mendeley Institutional Edition accounts. Additional participation and further MIE customization will enhance the information available for administrative use.
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Interaction between Heart Rate Variability and Respiration in Preterm InfantsSeveral studies have focused attention on cardio-respiratory function as an important indicator of development in infants. In the preterm infant, however, it remains unclear whether respiratory activity already affects heart beat variations at such an early development stage. In this work we investigate the presence of cardio-respiratory coupling in preterm infants by quantifying the interaction between heart rate variability and respiration using multivariate autoregressive analysis. We evaluated the frequency domain indices using standard methods. Results show a significantly higher coupling, as confirmed by surrogate data analysis, in the frequency range associated with regular breathing compared to other ranges. These observations indicate a mild, but present, respiratory sinus arrhythmia in preterm infants.
