Visualization of hydrogen injection in a scramjet engine by simultaneous PLIF imaging and laser holographic imaging

Flowfield characterization has been accomplished for several fuel injector configurations using simultaneous planar laser induced fluorescence (PLIF) and laser holographic imaging (LHI). The experiments were carried out in the GASL-NASA HYPULSE real gas expansion tube facility, a pulsed facility with steady test times of about 350 microsec. The tests were done at simulated Mach numbers 13.5 and 17. The focus of this paper is on the measurement technologies used and their application in a research facility. The HYPULSE facility, the models used for the experiments, and the setup for the LHI and PLIF measurements are described. Measurement challenges and solutions are discussed. Results are presented for experiments with several fuel injector configurations and several equivalence ratios

Resonance lamp absorption measurement of OH number density and temperature in expansion tube scramjet engine tests

In this paper, we report results of hydroxyl radical and static temperature measurements performed in the General Applied Science Laboratories-NASA HYPULSE expansion tube facility using the microwave resonance lamp absorption technique. Data were obtained as part of a series of hydrogen/air and hydrogen/oxygen combustion tests at stagnation enthalpies corresponding to Mach 17 flight speeds. Data from a representative injector configuration is compared to a full Navier-Stokes CFD solution

Multistationary and Oscillatory Modes of Free Radicals Generation by the Mitochondrial Respiratory Chain Revealed by a Bifurcation Analysis

The mitochondrial electron transport chain transforms energy satisfying cellular demand and generates reactive oxygen species (ROS) that act as metabolic signals or destructive factors. Therefore, knowledge of the possible modes and bifurcations of electron transport that affect ROS signaling provides insight into the interrelationship of mitochondrial respiration with cellular metabolism. Here, a bifurcation analysis of a sequence of the electron transport chain models of increasing complexity was used to analyze the contribution of individual components to the modes of respiratory chain behavior. Our algorithm constructed models as large systems of ordinary differential equations describing the time evolution of the distribution of redox states of the respiratory complexes. The most complete model of the respiratory chain and linked metabolic reactions predicted that condensed mitochondria produce more ROS at low succinate concentration and less ROS at high succinate levels than swelled mitochondria. This prediction was validated by measuring ROS production under various swelling conditions. A numerical bifurcation analysis revealed qualitatively different types of multistationary behavior and sustained oscillations in the parameter space near a region that was previously found to describe the behavior of isolated mitochondria. The oscillations in transmembrane potential and ROS generation, observed in living cells were reproduced in the model that includes interaction of respiratory complexes with the reactions of TCA cycle. Whereas multistationarity is an internal characteristic of the respiratory chain, the functional link of respiration with central metabolism creates oscillations, which can be understood as a means of auto-regulation of cell metabolism. © 2012 Selivanov et al

The stochastic matching problem

The matching problem plays a basic role in combinatorial optimization and in statistical mechanics. In its stochastic variants, optimization decisions have to be taken given only some probabilistic information about the instance. While the deterministic case can be solved in polynomial time, stochastic variants are worst-case intractable. We propose an efficient method to solve stochastic matching problems which combines some features of the survey propagation equations and of the cavity method. We test it on random bipartite graphs, for which we analyze the phase diagram and compare the results with exact bounds. Our approach is shown numerically to be effective on the full range of parameters, and to outperform state-of-the-art methods. Finally we discuss how the method can be generalized to other problems of optimization under uncertainty.Comment: Published version has very minor change

Συνελίξεις κατανομών με βαριά ουρά

223 σ.Εθνικό Μετσόβιο Πολυτεχνείο--Μεταπτυχιακή Εργασία. Διεπιστημονικό-Διατμηματικό Πρόγραμμα Μεταπτυχιακών Σπουδών (Δ.Π.Μ.Σ.) “Εφαρμοσμένες Μαθηματικές Επιστήμες”Στην παρούσα εργασία αντικείμενο αποτελούν οι συνελίξεις των κατανομών με βαριά ουρά, και πιο συγκεκριμένα οι υποεκθετικές κατανομές. Οι υποεκθετικές κατανομές είναι μια υποκατηγορία των κατανομών με βαριά ουρά και έχουν εφαρμογές σε πολλά επιστημονικά αντικείμενα. Στηρίζονται στην ιδέα πως ένα άθροισμα τυχαίων μεταβλητών μπορεί να υπερβεί κάποιο μεγάλο φράγμα μόνο όταν μια από αυτές τις μεταβλητές υπερβεί αυτό το φράγμα.Σε αυτή την εργασία θα ασχοληθούμε με την εφαρμογή των υποεκθετικών κατανομών στον αναλογισμό και πιο συγκεκριμένα στη θεωρία χρεοκοπίας. Στην προσπάθεια μας να ορίσουμε μαθηματικά την θεωρία χρεοκοπίας χρησιμοποιούμε τους τυχαίους περιπάτους . Σκοπός της παρούσας εργασίας είναι να δείξουμε πως συμπεριφέρεται η πιθανότητα χρεοκοπίας κάτω από την υπόθεση των υποεκθετικών κατανομών και πώς συμπεριφέρεται όταν δεν ισχύει η υπόθεση των υποεκθετικών κατανομών.In this work, item are convolutions of heavy tailed distributions , and more specifically subexponencial distributions . Subexponencial distributions are a subclass of distributions with heavy tail and have applications in many scientific fields . Based on the idea that a sum of random variables can exceed a big bound only when one of these variables exceeds this bound.In this paper we discuss the application of subexponential distributions in actuarial science and in particular in ruin theory . In our effort to define ruin theory we use random walks. The purpose of this paper is the behavior of ruin probability under the assumption of subexponential distributions and how it behaves when it does not apply the case of subexponential distributions.Σωτήριος Ι. Λοσίδη

Predictors of drinking and functional outcomes for men and women following inpatient alcohol treatment

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/106952/1/ajad12098.pd

External validation of ADO, DOSE, COTE and CODEX at predicting death in primary care patients with COPD using standard and machine learning approaches

Background Several models for predicting the risk of death in people with chronic obstructive pulmonary disease (COPD) exist but have not undergone large scale validation in primary care. The objective of this study was to externally validate these models using statistical and machine learning approaches. Methods We used a primary care COPD cohort identified using data from the UK Clinical Practice Research Datalink. Age-standardised mortality rates were calculated for the population by gender and discrimination of ADO (age, dyspnoea, airflow obstruction), COTE (COPD-specific comorbidity test), DOSE (dyspnoea, airflow obstruction, smoking, exacerbations) and CODEX (comorbidity, dyspnoea, airflow obstruction, exacerbations) at predicting death over 1–3 years measured using logistic regression and a support vector machine learning (SVM) method of analysis. Results The age-standardised mortality rate was 32.8 (95%CI 32.5–33.1) and 25.2 (95%CI 25.4–25.7) per 1000 person years for men and women respectively. Complete data were available for 54879 patients to predict 1-year mortality. ADO performed the best (c-statistic of 0.730) compared with DOSE (c-statistic 0.645), COTE (c-statistic 0.655) and CODEX (c-statistic 0.649) at predicting 1-year mortality. Discrimination of ADO and DOSE improved at predicting 1-year mortality when combined with COTE comorbidities (c-statistic 0.780 ADO + COTE; c-statistic 0.727 DOSE + COTE). Discrimination did not change significantly over 1–3 years. Comparable results were observed using SVM. Conclusion In primary care, ADO appears superior at predicting death in COPD. Performance of ADO and DOSE improved when combined with COTE comorbidities suggesting better models may be generated with additional data facilitated using novel approaches

Towards Standardization of Retinal Vascular Measurements:On the Effect of Image Centering

Within the general framework of consistent and reproducible morphometric measurements of the retinal vasculature in fundus images, we present a quantitative pilot study of the changes in measurements commonly used in retinal biomarker studies (e.g. caliber-related, tortuosity and fractal dimension of the vascular network) induced by centering fundus image acquisition on either the optic disc or on the macula. To our best knowledge, no such study has been reported so far. Analyzing 149 parameters computed from 80 retinal images (20 subjects, right and left eye, optic-disc and macula centered), we find strong variations and limited concordance in images of the two types. Although analysis of larger cohorts is obviously necessary, our results strengthen the need for a structured investigation into the uncertainty of retinal vasculature measurements, ideally in the framework of an international debate on standardization.</p