76 research outputs found

    Theoretical open-loop model of respiratory mechanics in the extremely preterm infant

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    Non-invasive ventilation is increasingly used for respiratory support in preterm infants, and is associated with a lower risk of chronic lung disease. However, this mode is often not successful in the extremely preterm infant in part due to their markedly increased chest wall compliance that does not provide enough structure against which the forces of inhalation can generate sufficient pressure. To address the continued challenge of studying treatments in this fragile population, we developed a nonlinear lumped-parameter model of respiratory system mechanics of the extremely preterm infant that incorporates nonlinear lung and chest wall compliances and lung volume parameters tuned to this population. In particular we developed a novel empirical representation of progressive volume loss based on compensatory alveolar pressure increase resulting from collapsed alveoli. The model demonstrates increased rate of volume loss related to high chest wall compliance, and simulates laryngeal braking for elevation of end-expiratory lung volume and constant positive airway pressure (CPAP). The model predicts that low chest wall compliance (chest stiffening) in addition to laryngeal braking and CPAP enhance breathing and delay lung volume loss. These results motivate future data collection strategies and investigation into treatments for chest wall stiffening.Comment: 22 pages, 5 figure

    Predictors of Circuit Health in Neonatal Patients Receiving Extracorporeal Membrane Oxygenation

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    Background: Clot formation is the most common mechanical complication of ECMO and can lead to oxygenator failure and the need for subsequent circuit changes. The goals of this study were to identify early indicators of circuit failure to alert providers of ECMO circuit health. Hypothesis: We hypothesized that patient-specific circuit parameters can predict circuit health to identify risk of early circuit failure in neonate ECMO patients. Using a retrospective chart analysis ECMO flow parameters and clotting factors were identified during the 48 hours prior to ECMO circuit change through the 24 hours post circuit change. Statistical analysis included non-parametric Mann-Whitney U-test. Results: There was a significant increase in maximum and mean delta-p prior to need for circuit changes compared to those without (p=0.011 and p=0.0128 respectively) and a significant increase in the maximum RPM and mean RPM (p=0.0043 and p=0.0057 respectively). There was a significant increase in mean plasma free hemoglobin (hgb) (p=0.0209); however, the maximum plasma free hgb was not significant (p=0.0569). No differences were notable for sweep and venous pressure in those with circuit changes. Furthermore, clotting parameters were not found to be significant, including ACT, heparin, platelet count, fibrinogen, PT, PTT, INR, AT III (%), anti-Xa. Conclusion: Changes in Delta-p, RPM, and flow may be valuable predictors of early circuit impairment in neonates on ECMO. Sweep, venous pressure and clotting parameters may not reliable predictors of circuit health.https://scholarscompass.vcu.edu/gradposters/1167/thumbnail.jp

    Predictors of Circuit Health in Neonatal Patients Receiving Extracorporeal Membrane Oxygenation (ECMO)

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    To identify predictors of neonatal ECMO circuit health, a retrospective analysis of circuit functional pressure and flow parameters as well as infant clotting values were collected 48 h prior to and 24 h post circuit change. Circuit impairment was defined as need for partial or total circuit change. Statistical analysis used multivariate statistics and non-parametric Mann–Whitney U-test with possible non-normality of measurements. A total of 9764 ECMO circuit and clotting values in 21 circuits were analyzed. Circuit delta-P mean, and maximum values increased from 8.62 to 48.59 mmHg (p \u3c 0.011) and 16.00 to 53.00 mmHg (p \u3c 0.0128) respectively prior to need for circuit change. Maximum and mean Pump Flow Revolutions per minute (RPM) increased by 75% (p \u3c 0.0043) and 81% (p \u3c 0.0057), respectively. Mean plasma free hemoglobin (pfHb) increased from 26.45 to 76.00 mg/dl, (p \u3c 0.0209). Sweep, venous pressure, and clotting parameters were unaffected. ECMO circuit delta-P, RPM, and pfHb were early predictors of circuit impairment

    The evolution of insecticide resistance in the peach-potato aphid, Myzus persicae

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    © 2014 The Authors. Published by Elsevier Ltd. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence e (http://creativecommons.org/licenses/by-nc-nd/3.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.The peach potato aphid, Myzus persicae is a globally distributed crop pest with a host range of over 400 species including many economically important crop plants. The intensive use of insecticides to control this species over many years has led to populations that are now resistant to several classes of insecticide. Work spanning over 40 years has shown that M. persicae has a remarkable ability to evolve mechanisms that avoid or overcome the toxic effect of insecticides with at least seven independent mechanisms of resistance described in this species to date. The array of novel resistance mechanisms, including several ‘first examples’, that have evolved in this species represents an important case study for the evolution of insecticide resistance and also rapid adaptive change in insects more generally. In this review we summarise the biochemical and molecular mechanisms underlying resistance in M. persicae and the insights study of this topic has provided on how resistance evolves, the selectivity of insecticides, and the link between resistance and host plant adaptation.Peer reviewedFinal Published versio

    Optics and Quantum Electronics

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    Contains table of contents for Section 3 and reports on twenty research projects.Charles S. Draper Laboratories Contract DL-H-467138Joint Services Electronics Program Contract DAAL03-92-C-0001Joint Services Electronics Program Grant DAAH04-95-1-0038U.S. Air Force - Office of Scientific Research Contract F49620-91-C-0091MIT Lincoln LaboratoryNational Science Foundation Grant ECS 90-12787Fujitsu LaboratoriesNational Center for Integrated PhotonicsHoneywell Technology CenterU.S. Navy - Office of Naval Research (MFEL) Contract N00014-94-1-0717U.S. Navy - Office of Naval Research (MFEL) Grant N00014-91-J-1956National Institutes of Health Grant NIH-5-R01-GM35459-09U.S. Air Force - Office of Scientific Research Grant F49620-93-1-0301MIT Lincoln Laboratory Contract BX-5098Electric Power Research Institute Contract RP3170-25ENEC

    Large expert-curated database for benchmarking document similarity detection in biomedical literature search

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    Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe
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