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1. RelJoin: Relative-cost-based Selection of Distributed Join Methods for Query Plan Optimization

Author

Liang, F., Lau, F. C. M., Cui, H., Li, Y., Lin, B., Li, C., and Hu, X.

Subjects
Computer Science - Databases, Computer Science - Distributed, Parallel, and Cluster Computing
Abstract

Selecting appropriate distributed join methods for logical join operations in a query plan is crucial for the performance of data-intensive scalable computing (DISC). Different network communication patterns in the data exchange phase generate varying network communication workloads and significantly affect the distributed join performance. However, most cost-based query optimizers focus on the local computing cost and do not precisely model the network communication cost. We propose a cost model for various distributed join methods to optimize join queries in DISC platforms. Our method precisely measures the network and local computing workloads in different execution phases, using information on the size and cardinality statistics of datasets and cluster join parallelism. Our cost model reveals the importance of the relative size of the joining datasets. We implement an efficient distributed join selection strategy, known as RelJoin in SparkSQL, which is an industry-prevalent distributed data processing framework. RelJoin uses runtime adaptive statistics for accurate cost estimation and selects optimal distributed join methods for logical joins to optimize the physical query plan. The evaluation results on the TPC-DS benchmark show that RelJoin performs best in 62 of the 97 queries and can reduce the average query time by 21% compared with other strategies.

Published
2023
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2. Obesity Paradox in Heart Failure with Mildly Reduced Ejection Fraction

Author

Reinhardt M, Schupp T, Abumayyaleh M, Lau F, Schmitt A, Abel N, Akin M, Rusnak J, Akin I, and Behnes M

Subjects
heart failure with mildly reduced ejection fraction, hfmref, body mass index, bmi, obesity, mortality, Medicine
Abstract

Marielen Reinhardt,1,* Tobias Schupp,1,* Mohammad Abumayyaleh,1 Felix Lau,1,2 Alexander Schmitt,1 Noah Abel,1 Muharrem Akin,2 Jonas Rusnak,3 Ibrahim Akin,1 Michael Behnes1 1Department of Cardiology, Angiology, Haemostaseology and Medical Intensive Care, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; 2Department of Cardiology, Angiology, Hannover Medical School, Hannover, Germany; 3Department of Cardiology, Angiology and Pneumology, University Hospital Heidelberg, Heidelberg, Germany*These authors contributed equally to this workCorrespondence: Tobias Schupp, First Department of Medicine, University Medical Center Mannheim (UMM), Theodor-Kutzer-Ufer 1-3, Mannheim, 68167, Germany, Tel +49 621-383-2204, Email tobias.schupp@umm.deObjective: The study investigates the prognostic impact of body mass index (BMI) in patients hospitalized with heart failure with mildly reduced ejection fraction (HFmrEF).Background: Limited data regarding the prognostic impact of BMI in patients with HFmrEF is available.Methods: Consecutive patients with HFmrEF (ie, left ventricular ejection fraction 41– 49% and signs and/or symptoms of HF) were retrospectively included at one institution from 2016 to 2022. Risk stratification was performed according to WHO-defined BMI groups. The primary endpoint was all-cause mortality at 30 months (median follow-up). Kaplan-Meier, uni- and multivariable Cox proportional regression analyses were applied for statistics.Results: 1832 consecutive patients with HFmrEF were included with a median BMI of 26.7 kg/m2 (IQR 24.0– 30.8 kg/m2). Patients with lowest BMI (ie, 18.5– 24.9 kg/m2) were associated with highest risk of all-cause mortality at 30 months compared to patients with higher BMI values (40.0% vs 29.0% vs 21.4% vs 20.9%; log rank p = 0.001; HR = 0.721; 95% CI 0.656– 0.793; p = 0.001). Even after multivariable adjustment, higher BMI values were associated with improved survival at 30 months (HR = 0.963; 95% CI 0.943– 0.985; p = 0.001). In contrast, the risk of HF- related rehospitalization at 30 months was not affected by BMI (log rank p = 0.064).Conclusion: In patients hospitalized with HFmrEF, lower BMI was associated with increased risk of all-cause mortality at 30 months, suggesting an obesity paradox in HFmrEF.Keywords: heart failure with mildly reduced ejection fraction, HFmrEF, body mass index, BMI, obesity, mortality

Published
2024

3. Plateau Proposal Distributions for Adaptive Component-wise Multiple-Try Metropolis

Author

Lau, F. Din-Houn and Krumscheid, Sebastian

Subjects
Statistics - Computation, Statistics - Methodology
Abstract

Markov chain Monte Carlo (MCMC) methods are sampling methods that have become a commonly used tool in statistics, for example to perform Monte Carlo integration. As a consequence of the increase in computational power, many variations of MCMC methods exist for generating samples from arbitrary, possibly complex, target distributions. The performance of an MCMC method is predominately governed by the choice of the so-called proposal distribution used. In this paper, we introduce a new type of proposal distribution for the use in MCMC methods that operates component-wise and with multiple trials per iteration. Specifically, the novel class of proposal distributions, called Plateau distributions, do not overlap, thus ensuring that the multiple trials are drawn from different regions of the state space. Furthermore, the Plateau proposal distributions allow for a bespoke adaptation procedure that lends itself to a Markov chain with efficient problem dependent state space exploration and improved burn-in properties. Simulation studies show that our novel MCMC algorithm outperforms competitors when sampling from distributions with a complex shape, highly correlated components or multiple modes., Comment: 24 pages, 12 figures

Published
2019

4. Modeling and Forecasting Art Movements with CGANs

Author

Lisi, Edoardo, Malekzadeh, Mohammad, Haddadi, Hamed, Lau, F. Din-Houn, and Flaxman, Seth

Subjects
Statistics - Machine Learning, Computer Science - Machine Learning
Abstract

Conditional Generative Adversarial Networks~(CGAN) are a recent and popular method for generating samples from a probability distribution conditioned on latent information. The latent information often comes in the form of a discrete label from a small set. We propose a novel method for training CGANs which allows us to condition on a sequence of continuous latent distributions $f^{(1)}, \ldots, f^{(K)}$. This training allows CGANs to generate samples from a sequence of distributions. We apply our method to paintings from a sequence of artistic movements, where each movement is considered to be its own distribution. Exploiting the temporal aspect of the data, a vector autoregressive (VAR) model is fitted to the means of the latent distributions that we learn, and used for one-step-ahead forecasting, to predict the latent distribution of a future art movement $f^{{(K+1)}}$. Realisations from this distribution can be used by the CGAN to generate "future" paintings. In experiments, this novel methodology generates accurate predictions of the evolution of art. The training set consists of a large dataset of past paintings. While there is no agreement on exactly what current art period we find ourselves in, we test on plausible candidate sets of present art, and show that the mean distance to our predictions is small., Comment: 15 pages, 6 figures

Published
2019

5. A Quantile-Based Approach to Modelling Recovery Time in Structural Health Monitoring

Author

Gregory, Alastair, Lau, F. Din-Houn, and Butler, Liam

Subjects
Statistics - Applications
Abstract

Statistical techniques play a large role in the structural health monitoring of instrumented infrastructure, such as a railway bridge constructed with an integrated network of fibre optic sensors. One possible way to reason about the structural health of such a railway bridge, is to model the time it takes to recover to a no-load (baseline) state after a train passes over. Inherently, this recovery time is random and should be modelled statistically. This paper uses a non-parametric model, based on empirical quantile approximations, to construct a space-memory efficient baseline distribution for the streaming data from these sensors. A fast statistical test is implemented to detect deviations away from, and recovery back to, this distribution when trains pass over the bridge, yielding a recovery time. Our method assumes that there are no temporal variations in the data. A median-based detrending scheme is used to remove the temporal variations likely due to temperature changes. This allows for the continuous recording of sensor data with a space-memory constraint., Comment: 18 pages

Published
2018

6. The chopthin algorithm for resampling

Author

Gandy, Axel and Lau, F. Din-Houn

Subjects
Statistics - Computation
Abstract

Resampling is a standard step in particle filters and more generally sequential Monte Carlo methods. We present an algorithm, called chopthin, for resampling weighted particles. In contrast to standard resampling methods the algorithm does not produce a set of equally weighted particles; instead it merely enforces an upper bound on the ratio between the weights. Simulation studies show that the chopthin algorithm consistently outperforms standard resampling methods. The algorithms chops up particles with large weight and thins out particles with low weight, hence its name. It implicitly guarantees a lower bound on the effective sample size. The algorithm can be implemented efficiently, making it practically useful. We show that the expected computational effort is linear in the number of particles. Implementations for C++, R (on CRAN), Python and Matlab are available., Comment: 14 pages, 4 figures

Published
2015
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7. RMCMC: A System for Updating Bayesian Models

Author

Lau, F. Din-Houn and Gandy, Axel

Subjects
Statistics - Methodology
Abstract

A system to update estimates from a sequence of probability distributions is presented. The aim of the system is to quickly produce estimates with a user-specified bound on the Monte Carlo error. The estimates are based upon weighted samples stored in a database. The stored samples are maintained such that the accuracy of the estimates and quality of the samples is satisfactory. This maintenance involves varying the number of samples in the database and updating their weights. New samples are generated, when required, by a Markov chain Monte Carlo algorithm. The system is demonstrated using a football league model that is used to predict the end of season table. Correctness of the estimates and their accuracy is shown in a simulation using a linear Gaussian model.

Published
2013

8. Optimality of Non-Restarting CUSUM charts

Author

Lau, F. Din-Houn and Gandy, Axel

Subjects
Statistics - Methodology
Abstract

We show optimality, in a well-defined sense, using cumulative sum (CUSUM) charts for detecting changes in distributions. We consider a setting with multiple changes between two known distributions. This result advocates the use of non-restarting CUSUM charts with an upper boundary. Typically, after signalling, a CUSUM chart is restarted by setting it to some value below the threshold. A non-restarting CUSUM chart is not reset after signalling; thus is able to signal continuously. Imposing an upper boundary prevents the CUSUM chart rising too high, which facilitates detection in our setting. We discuss, via simulations, how the choice of the upper boundary changes the signals made by the non-restarting CUSUM charts., Comment: 10 pages, 3 figures

Published
2012

9. Non-Restarting CUSUM charts and Control of the False Discovery Rate

Author

Gandy, Axel and Lau, F. Din-Houn

Subjects
Statistics - Methodology
Abstract

Cumulative sum (CUSUM) charts are typically used to detect changes in a stream of observations e.g. shifts in the mean. Usually, after signalling, the chart is restarted by setting it to some value below the signalling threshold. We propose a non-restarting CUSUM chart which is able to detect periods during which the stream is out of control. Further, we advocate an upper boundary to prevent the CUSUM chart rising too high, which helps detecting a change back into control. We present a novel algorithm to control the false discovery rate (FDR) pointwise in time when considering CUSUM charts based on multiple streams of data. We prove that the FDR is controlled under two definitions of a false discovery simultaneously. Simulations reveal the difference in FDR control when using these two definitions and other desirable definitions of a false discovery., Comment: 10 pages, 2 figures

Published
2012
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11. Sensor-Based Structural Assessment of Aging Bridges

Author

Noori, Mohammed, Rainieri, Carlo, Domaneschi, Marco, Sarhosis, Vasilis, Alexakis, Haris, Cocking, Sam, Tziavos, Nikolaos I., Din-Houn Lau, F., Schooling, Jennifer, DeJong, Matthew, Noori, Mohammed, Rainieri, Carlo, Domaneschi, Marco, Sarhosis, Vasilis, Alexakis, Haris, Cocking, Sam, Tziavos, Nikolaos I., Din-Houn Lau, F., Schooling, Jennifer, and DeJong, Matthew

Abstract

Transport infrastructure managers need to ensure longevity of their networks to meet pressing sustainability demands. Extending the operational life of complex structural systems, such as aging bridges, requires a comprehensive life-expectancy assessment. Given that these structures are suffering from local failures that may not necessarily alter their global response, engineers need to increase their confidence in detecting and characterizing such damage, while assessing deterioration rates in localized regions. This chapter presents data analysis results from the structural health monitoring of three aging bridges: two masonry arch rail bridges, and a half-joint concrete motorway bridge. The aim, in all cases, is to improve deterioration assessment through enhanced sensing of the distributed response across the structures. A core sensing technology used in the three schemes is the development of fiber Bragg grating (FBG) networks, allowing the study of small dynamic strain variations at both the local and global response levels. New ways of installing FBGs are explored for multi-aspect condition monitoring, while their sensitivity in damage detection is enhanced with data analytics and acoustic emission (AE) sensors. The chapter discusses that complementing information from dynamic strain and AE-sensing networks may enable a finer deterioration monitoring of aging structures driven by data.

Published
2023

13. Characterization of bipolar disorder patient-specific induced pluripotent stem cells from a family reveals neurodevelopmental and mRNA expression abnormalities

Author

Madison, J M, Zhou, F, Nigam, A, Hussain, A, Barker, D D, Nehme, R, van der Ven, K, Hsu, J, Wolf, P, Fleishman, M, O'Dushlaine, C, Rose, S, Chambert, K, Lau, F H, Ahfeldt, T, Rueckert, E H, Sheridan, S D, Fass, D M, Nemesh, J, Mullen, T E, Daheron, L, McCarroll, S, Sklar, P, Perlis, R H, and Haggarty, S J

Published
2015
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14. Fibre optic sensing of ageing railway infrastructure enhanced with statistical shape analysis

Author

Alexakis, Haris, Lau, F. Din-Houn, DeJong, Matthew J., Alexakis, Haris [0000-0002-6588-2070], Lau, F. Din-Houn [0000-0003-1065-828X], DeJong, Matthew J. [0000-0002-6195-839X], Apollo - University of Cambridge Repository, Alexakis, H [0000-0002-6588-2070], Lau, FDH [0000-0003-1065-828X], and DeJong, MJ [0000-0002-6195-839X]

Subjects
Original Paper, Asset management, Masonry structures, Bridges, Shape analysis, Fibre optics
Abstract

Funder: Aston University, Developing early-warning sensor-based maintenance systems for ageing railway infrastructure, such as masonry arch bridges, can be a challenging task due to the difficulty of identifying degradation/damage as the source of small, gradual changes in sensor data, as opposed to other environmental and loading effects. This paper offers a new method of applying statistical modelling and machine learning to enhance the interpretation of fibre optic sensing data, and, therefore, improve deterioration monitoring of railway infrastructure. Dynamic strain and temperature monitoring data between 2016 and 2019 from a fibre Bragg grating (FBG) network installed in a Victorian railway viaduct are first presented. The statistical shape analysis adopted in this study is modified to track changes in the shape of FBG signals directly linked to train speed and dynamic strain amplitudes. The method is complemented by a support vector machine, which is trained to identify different classes of trains. After distinguishing train types, dynamic strain was found to be clearly correlated to temperature, verifying previous findings. No correlation with train speed was observed. The integrated system is then able to compensate for changes in the structural performance due to variations in train loading and ambient temperature, and identify changes in dynamic deformation caused by degradation, in an order comparable to the signal noise (± 2 micro-strain). As a result, the new procedure is shown to be capable of detecting small magnitudes of local degradation well before this degradation manifests itself in typical global measures of response.

Published
2020

15. Fibre Optic Sensing of Ageing Railway Infrastructure enhanced with Statistical Shape Analysis

Author

Alexakis, Haris, Lau, F. Din-Houn, DeJong, Matthew, Alexakis, Haris, Lau, F. Din-Houn, and DeJong, Matthew

Abstract

Developing early-warning sensor-based maintenance systems for ageing railway infrastructure, such as masonry arch bridges, can be a challenging task due to the difficulty of identifying degradation/damage as the source of small, gradual changes in sensor data, as opposed to other environmental and loading effects. This paper offers a new method of applying statistical modelling and machine learning to enhance the interpretation of fibre optic sensing data, and, therefore, improve deterioration monitoring of railway infrastructure. Dynamic strain and temperature monitoring data between 2016 and 2019 from a fibre Bragg grating (FBG) network installed in a Victorian railway viaduct are first presented. The statistical shape analysis adopted in this study is modified to track changes in the shape of FBG signals directly linked to train speed and dynamic strain amplitudes. The method is complemented by a support vector machine, which is trained to identify different classes of trains. After distinguishing train types, dynamic strain was found to be clearly correlated to temperature, verifying previous findings. No correlation with train speed was observed. The integrated system is then able to compensate for changes in the structural performance due to variations in train loading and ambient temperature, and identify changes in dynamic deformation caused by degradation, in an order comparable to the signal noise (± 2 micro-strain). As a result, the new procedure is shown to be capable of detecting small magnitudes of local degradation well before this degradation manifests itself in typical global measures of response.

Published
2021

21. No difference in human mast cells derived from peanut allergic versus non-allergic subjects

Author

Lau F, Larsen, Nanna, Juel-Berg, Anker, Hansen, Kirsten S, Hansen, E N Clare, Mills, Ronald, van Ree, Madeleine, Rådinger, Lars K, Poulsen, and Bettina M, Jensen

Subjects
Adult, Male, Interleukins, mast cells, Immunoglobulin E, Histamine Release, Antibodies, Anti-Idiotypic, MicroRNAs, Young Adult, Antigens, CD, Food allergy, Cytokines, Humans, Female, Peanut Hypersensitivity, peanut, Chemokines, Receptors, Immunologic, Histamine, Original Research
Abstract

Introduction: Mast cells are the primary effector cells of allergy. This study aimed at characterizing human peripheral blood-derived mast cells (PBdMC) from peanut allergic and non-allergic subjects by investigating whether the molecular and stimulus-response profile of PBdMC discriminate between peanut allergic and healthy individuals. Methods: PBdMC were generated from eight peanut allergic and 10 non-allergic subjects. The molecular profile (cell surface receptor expression) was assessed using flow cytometry. The stimulus-response profile (histamine release induced by secretagogues, secretion of cytokines/chemokines and changes in miRNA expression following anti-IgE activation) was carried out with histamine release test, luminex multiplex assay and miRNA arrays. Results: Expression of activating receptors (Fcε(lunate)RI, CD48, CD88, CD117, and C3aR) on PBdMC was not different among peanut allergic and non-allergic subjects. Likewise, inhibitory receptors (CD32, CD200R, CD300a, and siglec-8) displayed comparable levels of expression. Both groups of PBdMC were unresponsive to substance P, compound 48/80 and C5a but released comparable levels of histamine when stimulated with anti-IgE and C3a. Interestingly, among the secreted cytokines/chemokines (IL-8, IL-10, IL-13, IL-23, IL-31, IL-37, MCP-1, VEGF, GM-CSF) PBdMC from peanut allergic subjects showed a different secretion pattern of IL-31 compared to non-allergic subjects. Investigating miRNA expression from resting or activated PBdMC revealed no significantly difference between peanut allergic and non-allergic subjects. Conclusion: The molecular and stimulus-response profile revealed that PBdMC from peanut allergic subjects differently express IL-31 compared to non-allergic subjects. However, since only one altered parameter was found among 893 investigated, it is still questionable if the pathophysiological mechanisms of peanut allergy are revealed in PBdMC.

Published
2018

25. No difference in human mast cells derived from peanut allergic versus non-allergic subjects

Author

Larsen, Lau F., Juel-Berg, Nanna, Hansen, Anker, Hansen, Kirsten S, Mills, E N Clare, van Ree, Ronald, Rådinger, Madeleine, Poulsen, Lars K., Jensen, Bettina M., Larsen, Lau F., Juel-Berg, Nanna, Hansen, Anker, Hansen, Kirsten S, Mills, E N Clare, van Ree, Ronald, Rådinger, Madeleine, Poulsen, Lars K., and Jensen, Bettina M.

Abstract

INTRODUCTION: Mast cells are the primary effector cells of allergy. This study aimed at characterizing human peripheral blood-derived mast cells (PBdMC) from peanut allergic and non-allergic subjects by investigating whether the molecular and stimulus-response profile of PBdMC discriminate between peanut allergic and healthy individuals.METHODS: PBdMC were generated from eight peanut allergic and 10 non-allergic subjects. The molecular profile (cell surface receptor expression) was assessed using flow cytometry. The stimulus-response profile (histamine release induced by secretagogues, secretion of cytokines/chemokines and changes in miRNA expression following anti-IgE activation) was carried out with histamine release test, luminex multiplex assay and miRNA arrays.RESULTS: Expression of activating receptors (FcϵRI, CD48, CD88, CD117, and C3aR) on PBdMC was not different among peanut allergic and non-allergic subjects. Likewise, inhibitory receptors (CD32, CD200R, CD300a, and siglec-8) displayed comparable levels of expression. Both groups of PBdMC were unresponsive to substance P, compound 48/80 and C5a but released comparable levels of histamine when stimulated with anti-IgE and C3a. Interestingly, among the secreted cytokines/chemokines (IL-8, IL-10, IL-13, IL-23, IL-31, IL-37, MCP-1, VEGF, GM-CSF) PBdMC from peanut allergic subjects showed a different secretion pattern of IL-31 compared to non-allergic subjects. Investigating miRNA expression from resting or activated PBdMC revealed no significantly difference between peanut allergic and non-allergic subjects.CONCLUSION: The molecular and stimulus-response profile revealed that PBdMC from peanut allergic subjects differently express IL-31 compared to non-allergic subjects. However, since only one altered parameter was found among 893 investigated, it is still questionable if the pathophysiological mechanisms of peanut allergy are revealed in PBdMC.

Published
2018

26. 25Gbps quasicoherent receiver for beyond NG-PON2 access networks

Author

Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions, Universitat Politècnica de Catalunya. GCO - Grup de Comunicacions Òptiques, Altabas, Jose Antonio, Suhr, Lau F., Silva Valdecasa, Guillermo, Lázaro Villa, José Antonio, Garces, Ignacio, Jensen, J.B., Clausen, Anders T., Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions, Universitat Politècnica de Catalunya. GCO - Grup de Comunicacions Òptiques, Altabas, Jose Antonio, Suhr, Lau F., Silva Valdecasa, Guillermo, Lázaro Villa, José Antonio, Garces, Ignacio, Jensen, J.B., and Clausen, Anders T.

Abstract

A 25Gbps quasicoherent receiver with simple DSP has been experimentally validated for 25G access networks. It exhibits a sensitivity of -24. 7dBm after 20km SSMF and duobinary decoding and provides a power budget of 25. 7dB., Peer Reviewed, Postprint (published version)

Published
2018

27. Real-time 10Gbps polarization independent quasicoherent receiver for NG-PON2 access networks

Author

Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions, Universitat Politècnica de Catalunya. GCO - Grup de Comunicacions Òptiques, Altabas, Jose Antonio, Silva Valdecasa, Guillermo, Suhr, Lau F., Lázaro Villa, José Antonio, Garces, Ignacio, Tafur Monroy, Idelfonso, Jensen, J.B., Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions, Universitat Politècnica de Catalunya. GCO - Grup de Comunicacions Òptiques, Altabas, Jose Antonio, Silva Valdecasa, Guillermo, Suhr, Lau F., Lázaro Villa, José Antonio, Garces, Ignacio, Tafur Monroy, Idelfonso, and Jensen, J.B.

Abstract

© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works, In this paper, we propose and test experimentally a real-time 10 Gbps polarization independent quasicoherent receiver for NG-PON2 access networks. The proposed 10 Gbps quasicoherent receiver exhibits a sensitivity of -35.2 dBm after 40 km SSMF transmission with a commercial generic EML as transmitter. This sensitivity means a 14.9 dB improvement over a direct detection scheme with a photodiode after 40 km SSMF transmission. Therefore, the use of the proposed 10 Gbps quasicoherent receiver with the tested EML will provide a power budget of 34.76 dB (class E1) and a splitting ratio of 128 after the 40 km SSMF transmission. Finally, the proposed 10 Gbps quasicoherent receiver allows a colorless and optical filterless operation because wavelength selection is done by tuning the local oscillator wavelength and using electrical intermediate frequency filtering., Peer Reviewed, Postprint (author's final draft)

Published
2018

30. Abstracts from the Food Allergy and Anaphylaxis Meeting 2016

Author

Pouessel, Guillaume, Claverie, Claire, Labreuche, Julien, Renaudin, Jean-Marie, Dorkenoo, Aimée, Eb, Mireille, Moneret-Vautrin, Anne, Deschildre, Antoine, Leteurtre, Stephane, Grabenhenrich, Linus, Worm, Margitta, Dölle, Sabine, Scherer, Kathrin, Hutteger, Isidor, Christensen, Morten, Bindslev-Jensen, Carsten, Mortz, Charlotte, Eller, Esben, Kjaer, Henrik F, Carneiro-Leão, Leonor, Badas, Jenny, Coimbra, Alice, Levy, Dikla P, Ben-Shoshan, Moshe, Rimon, Ayelet, Benor, Shira, Arends, Nicolette J T, Edelbroek, Nikki, de Groot, Hans, Emons, Joyce A M, Brand, H. K A, Verhoeven, Dirk, van Veen, Leonieke N, de Jong, Nicolette W, Noh, Geunwoong, Jang, Eun H, Pascal, Mariona, Dominguez, Olga, Piquer, Mònica, Alvaro, Montserrat, Jimenez-Feijoo, Rosa, Lozano, Jaime, Machinena, Adriana, del Mar Folqué, Maria, Giner, Maria T, Plaza, Ana M, Turner, Paul, Patel, Nandinee, Vazquez-Ortiz, Marta, Lindsley, Sarah, Walker, Lucy, Rosenberg, Simon, Mari, Adriano, Alessandri, Claudia, Giangrieco, Ivana, Tuppo, Lisa, Rafaiani, Chiara, Mitterer, Georg, Ciancamerla, Michela, Ferrara, Rosetta, Bernardi, Maria L, Zennaro, Danila, Tamburrini, Maurizio, Ciardiello, Maria A, Harwanegg, Christian, Fernandez, Antonio, Selb, Regina, Egenmann, Philippe, Epstein, Michelle, Hoffmann-Sommergruber, Karin, Koning, Frits, Lovik, Martinus, Clare Mills, E. N, Moreno, Javier, van Loveren, Henk, Wal, Jean-Michel, Diesner, Susanne, Bergmayr, Cornelia, Pfitzner, Barbara, Assmann, Vera E, Starkl, Philipp, Endesfelder, David, Eiwegger, Thomas, Szepfalusi, Zsolt, Fehrenbach, Heinz, Jensen-Jarolim, Erika, Hartmann, Anton, Pali-Schöll, Isabella, Untersmayr, Eva, Wille, Soren, Meyer, Peter, Klingebiel, Caroline, Lidholm, Jonas, Ehrenberg, Angelica, Östling, Jonas, Cleach, Isabelle, Mège, Jean-Louis, Vitte, Joana, Aina, Roberta, Dubiela, Pawel, Pfeifer, Sabine, Bublin, Merima, Radauer, Christian, Humeniuk, Piotr, Kabasser, Stefan, Asero, Riccardo, Bogas, Gador, Gomez, Francisca, Campo, Paloma, Salas, Maria, Doña, Inmaculada, Barrionuevo, Esther, Guerrero, Maria A, Mayorga, Cristobalina, Prieto, Ana, Barber, Domingo, Torres, Maria J, Jamin, Annette, Wangorsch, Andrea, Ballmer, Barbara, Vieths, Stefan, Scheurer, Stephan, Apostolovic, Danijela, Mihailovic, Jelena, Krstic, Maja, Starkhammar, Maria, Velickovic, Tanja C, Hamsten, Carl, van Hage, Marianne, van Erp, Francine C, Knol, Edward F, Kansen, Hannah M, Pontoppidan, Bo, Meijer, Yolanda, van der Ent, Cornelis K, Knulst, André C, Sayers, Rebekah, Brown, Helen, Custovic, Adnan, Simpson, Angela, Mills, Claire, Schulz, Juliane, Akkerdaas, Jaap, Totis, Muriel, Capt, Annabelle, Herouet-Guicheney, Corinne, van Ree, Ronald, Banerjee, Tushar, Banerjee, Antima, Claude, Mathilde, Bouchaud, Grégory, Lupi, Roberta, Castan, Laure, Tranquet, Olivier, Denery-Papini, Sandra, Bodinier, Marie, Brossard, Chantal, De Poi, Rosella, Gritti, Elisa, De Dominicis, Emiliano, Popping, Bert, de Laureto, Patrizia P, Palosuo, Kati, Kukkonen, Anna K, Pelkonen, Anna, Mäkelä, Mika, Lee, Nanju A, Rost, Johanna, Muralidharan, Sridevi, Campbell, Dianne, Mehr, Sam, Nock, Catherine, Baumert, Joseph, Taylor, Steve, Mastrorilli, Carla, Tripodi, Salvatore, Caffarelli, Carlo, Perna, Serena, Di Rienzo Businco, Andrea, Sfika, Ifigenia, Dondi, Arianna, Bianchi, Annamaria, Dascola, Carlotta P, Ricci, Giampaolo, Cipriani, Francesca, Maiello, Nunzia, del Giudice, Michele M, Frediani, Tullio, Frediani, Simone, Macrì, Francesco, Pistoletti, Chiara, Iacono, Iride D, Patria, Maria F, Varin, Elena, Peroni, Diego, Comberiati, Pasquale, Chini, Loredana, Moschese, Viviana, Lucarelli, Sandra, Bernardini, Roberto, Pingitore, Giuseppe, Pelosi, Umberto, Olcese, Roberta, Moretti, Matteo, Cirisano, Anastasia, Faggian, Diego, Travaglini, Alessandro, Plebani, Mario, Verga, Maria C, Calvani, Mauro, Giordani, Paolo, Matricardi, Paolo M, Ontiveros, Noe, Cabrera-Chavez, Francisco, Galand, Julie, Beaudouin, Etienne, Pineau, Florence, Sakai, Shinobu, Matsunaga, Kayoko, Teshima, Reiko, Larré, Colette, Denery, Sandra, Tschirner, Sebastian, Trendelenburg, Valérie, Schulz, Gabriele, Niggemann, Bodo, Beyer, Kirsten, Bouferkas, Youcef, Belabbas, Younes, Saidi, Djamel, Kheroua, Omar, Mecherfi, Kamel E E, Guendouz, Malika, Haddi, Abir, Kaddouri, Hanane, Amaral, Luis, Pereira, Ana, Rodrigues, Susana, Datema, Mareen, 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Cipriani, Francesca, Maiello, Nunzia, del Giudice, Michele M, Frediani, Tullio, Frediani, Simone, Macrì, Francesco, Pistoletti, Chiara, Iacono, Iride D, Patria, Maria F, Varin, Elena, Peroni, Diego, Comberiati, Pasquale, Chini, Loredana, Moschese, Viviana, Lucarelli, Sandra, Bernardini, Roberto, Pingitore, Giuseppe, Pelosi, Umberto, Olcese, Roberta, Moretti, Matteo, Cirisano, Anastasia, Faggian, Diego, Travaglini, Alessandro, Plebani, Mario, Verga, Maria C, Calvani, Mauro, Giordani, Paolo, Matricardi, Paolo M, Ontiveros, Noe, Cabrera-Chavez, Francisco, Galand, Julie, Beaudouin, Etienne, Pineau, Florence, Sakai, Shinobu, Matsunaga, Kayoko, Teshima, Reiko, Larré, Colette, Denery, Sandra, Tschirner, Sebastian, Trendelenburg, Valérie, Schulz, Gabriele, Niggemann, Bodo, Beyer, Kirsten, Bouferkas, Youcef, Belabbas, Younes, Saidi, Djamel, Kheroua, Omar, Mecherfi, Kamel E E, Guendouz, Malika, Haddi, Abir, Kaddouri, Hanane, Amaral, Luis, Pereira, Ana, Rodrigues, Susana, Datema, Mareen, Jongejan, Laurian, Clausen, Michael, Knulst, Andre, Papadopoulos, Nikolaos, Kowalski, Marek, de Blay, Frédéric, Zwinderman, Aeilko, Hoffman-Sommergruber, Karin, Ballmer-Weber, Barbara, Fernandez-Rivas, Montserrat, Deng, Shan, Yin, Jia, Eisenmann, Charlotte, Nassiri, Maria, Reinert, Rabea, van der Valk, Johanna P M, van Wijk, Roy G, Vergouwe, Yvonne, Steyerberg, Ewout W, Reitsma, Marit, Wichers, Harry J, Savelkoul, Huub F J, Vlieg-Boerstra, Berber, Dubois, Anthony E J, Carolino, Fabrícia, Rodolfo, Ana, Cernadas, Josefina, Roa-Medellín, Dasha, Rodriguez-Fernandez, Ana, Navarro, Joaquín, Albendiz, Vicente, Baeza, María L, Intente-Herrero, Sonsoles, Mikkelsen, Andrea, Mehlig, Kirsten, Lissner, Lauren, Verrill, Linda, Luccioli, Stefano, van Bilsen, Jolanda, Kuper, Frieke, Wolterbeek, André, Rankouhi, Tanja R, Verschuren, Lars, Cnossen, Hilde, Jeurink, Prescilla, Garssen, Johan, Knippels, Léon, Garthoff, Jossie, Houben, Geert, Leeman, Winfried, Eleonore Pettersson, M., Schins, Afke M M, Koppelman, Gerard H, Kollen, Boudewjin J, Zubchenko, Svitlana, Kuntz, Sarah, Mérida, Pablo, Álvaro, Montserrat, Piquer, Monica, Riggioni, Carmen, Castellanos, Juan H, Jimenez, Rosa, Cap, Melanie, Drumez, Elodie, Lejeune, Stéphanie, Thumerelle, Caroline, Mordacq, Clémence, Nève, Véronique, Ricò, Sonia, Varini, Margherita, Nocerino, Rita, Cosenza, Linda, Amoroso, Antonio, Di Costanzo, Margherita, Di Scala, Carmen, Bedogni, Giorgio, Canani, Roberto B, Turner, Paul J, Poza-Guedes, Paloma, González-Pérez, Ruperto, Sánchez-Machín, Inmaculada, Matheu-Delgado, Victor, Wambre, Erik, Ballegaard, Anne-Sofie, Madsen, Charlotte, Gregersen, Juliane, Bøgh, Katrine L, Aubert, Philippe, Neunlist, Michel, Magnan, Antoine, Lozano-Ojalvo, Daniel, Pablos-Tanarro, Alba, Pérez-Rodríguez, Leticia, Molina, Elena, López-Fandiño, Rosina, Rekima, Akila, Macchiaverni, Patricia, Turfkruyer, Mathilde, Holvoet, Sebastien, Dupuis, Lénaïck, Baiz, Nour, Annesi-Maesano, Isabella, Mercenier, Annick, Nutten, Sophie, Verhasselt, Valérie, Mrakovcic-Sutic, Ines, Banac, Srdan, Sutic, Ivana, Baricev-Novakovic, Zdenka, Sutic, Ingrid, Pavisic, Valentino, Muñoz-Cano, Rosa, Jiménez-Rodríguez, Teodoríkez, Corbacho, Daniel, Roca-Ferrer, Jordi, Bartra, Joan, Bulog, Aleksandar, Micovic, Vladimir, Markiewicz, Lidia, Szymkiewicz, Agata, Szyc, Anna, Wróblewska, Barbara, Harvey, Bryan M, Harthoorn, Lucien F, Wesley Burks, A., Rentzos, Georgios, Björk, Anna-Lena B, Bengtsson, Ulf, Barber, Colin, Kalicinsky, Chrystyna, Breynaert, Christine, Coorevits, Lieve, Jansen, Cornelia, Van Hoeyveld, Erna, Verbeke, Kristin, Kochuyt, Anne-Marie, Schrijvers, Rik, Deleanu, Diana, Muntean, Adriana, Konstantakopoulou, Maria, Pasioti, Maria, Papadopoulou, Anastasia, Iliopoulou, Anna, Mikos, Nikolaos, Kompoti, Evangelia, de Castro, Eunice D, Bartalomé, Borja, Ue, Kok L, Griffiths, Elizabeth, Till, Stephen, Grimshaw, Kate, Roberts, Graham, Selby, Anna, Butiene, Indre, Larco, Jose I, Dubakiene, Ruta, Fiandor, Ana, Fiocchi, Alessandro, Papadopoulos, Nikos, Sigurdardottir, Sigurveig, Sprikkelman, Aline, Schoemaker, Anne-Fleur, Xepapadaki, Paraskevi, Keil, Thomas, Cojocariu, Zizi, Barbado, Beatriz S, Iancu, Vasti, Arroabarren, Esozia, Esarte, Marta G, Arteaga, Miren, Andrade, Mayra C, Borges, Denise, Kalil, Jorge, Bianchi, Pedro G, Agondi, Rosana C, Gupta, Rinkesh K, Sharma, Akanksha, Gupta, Kriti, Das, Mukul, Dwivedi, Premendra, Karseladze, Rusudan, Jorjoliani, Liana, Saginadze, Lali, Tskhakaia, Mariam, Basello, Katia, Piuri, Gabriele, Speciani, Attilio F, Speciani, Michela C, Camerotto, Carla, Zinno, Francesco, Pakholchuk, Olga, Nedelska, Svitlana, Pattini, Stefano, Costantino, Maria T, Peveri, Silvia, Villalta, Danilo, Savi, Eleonora, Costanzi, Andrea, Revyakina, Vera A, Kiseleva, Marina A, Kuvshinova, Elena D, Larkova, Inna A, Shekhetov, Anton A, Silva, Diana, Moreira, André, Plácido, José, van der Kleij, Hanneke, van Twuijver, Esther, Sutorius, Robbert, de Kam, Pieter-Jan, van Odijk, Jenny, Lindqvist, Helen, Lustig, Elin, Jácome, Amyra A A, Aguilar, Karla L B, Domínguez, Miguel G, Hernández, David A M, Caruso, Cristiano, Casale, Cono, Rapaccini, Gian L, Romano, Antonino, De Vitis, Italo, Cocco, Renata R, Aranda, Carolina, Mallozi, Marcia C, Motta, Jackeline F, Moraes, Lilian, Pastorino, Antonio, Rosario, Nelson, Goudouris, Ekaterini, Porto, Arnaldo, Wandalsen, Neusa F, Sarinho, Emanuel, Sano, Flavio, Solé, Dirceu, Pitsios, Constantinos, Petrodimopoulou, Maria, Papadopoulou, Ekaterini, Passioti, Maria, Kontogianni, Meropi, Adamia, Nino, Khaleva, Ekaterina, del Prado, Ana P, Du Toit, George, Krzych, Edyta, Samolinska-Zawisza, Urszula, Furmanczyk, Konrad, Tomaszewska, Aneta, Raciborski, Filip, Lipiec, Agnieszka, Samel-Kowalik, Piotr, Walkiewicz, Artur, Borowicz, Jacek, Samolinski, Boleslaw, Nano, Aimee L, Recto, Marysia, Somoza, Maria L, López, Natalia B, Alzate, Diana P, Ruano, Francisco J, Garcimartín, Maria I, Haroun, Elisa, de la Torre, Maria V, Rojas, Antonia, Onieva, Montserrat L, Canto, Gabriela, Rodrigues, Alexandra, Forno, Andreia, Cabral, António J, Gonçalves, Rute, Vorozhko, Ilya, Sentsova, Tatyana, Chernyak, Olga, Denisova, Svetlana, Ilènko, Lidia, Muhortnich, Valery, Zimmermann, Caroline, Rohrbach, Alexander, Bakhsh, Faisal R, Boudewijn, Kollen, Oomkes-Pilon, Anne-Marie, Van Ginkle, Dorien, Šilar, Mira, Jeverica, Anja, Vesel, Tina, Avčin, Tadej, Korošec, Peter, van der Valk, Johanna, Berends, Irene, Arends, Nicolette, van Maaren, Maurits, Wichers, Harry, Emons, Joyce, Dubois, Anthony, de Jong, Nicolette, Matsyura, Oksana, Besh, Lesya, Huang, Chung-Hsiung, Jan, Tong-Rong, Stiefel, Gary, Tratt, Jean, Kirk, Kerrie, Carolino, Fabricia, Arasi, Stefania, Caminiti, Lucia, Crisafulli, Giuseppe, Fiamingo, Chiara, Fresta, Jlenia, Pajno, Giovanni, Remington, Ben, Kruizinga, Astrid, Marty Blom, W., Westerhout, Joost, Bijlsma, Sabina, Baumert, Joe, Blankestijn, Mark, Otten, Henny, Klemans, Rob, Michelsen-Huisman, Anouska D, van Os-Medendorp, Harmieke, Kruizinga, Astrid G, Versluis, Astrid, van Duijn, Gert, de Zeeuw-Brouwer, H. M, Castenmiller, Jacqueline J M, Noteborn, Hub P J M, Houben, Geert F, Bravin, Kristian, Luyt, David, Javed, Bushra, Couch, Phil, Munro, Christopher, Padfield, Phil, Sperrin, Matt, Byrne, Aideen, Oosthuizen, Lizalet, Kelleher, Carina, Ward, Fiona, Brosnan, Niamh, King, Graham, Corbet, Eva, Guzmán, Josué A H, García, Montserrat B, Asensio, Oscar, Navarrete, Laura V, Larramona, Helena, Miró, Xavier D, Pyrz, Katarzyna, Austin, Moira, Boloh, Yanne, Couch, Philip, Galloway, Deirdre, Hernandez, Pilar, Hourihane, Jonathan O, Kenna, Fiona, Majkowska-Wojciechowska, Barbara, Regent, Lynne, Themisb, Marina, Schnadt, Sabine, Semic-Jusufagic, Aida, Galvin, Audrey D, Kauppila, Tiina, Kuitunen, Mikael, Kitsioulis, Nikolaos A, Douladiris, Nikolaos, Kostoudi, Sofia, Manolaraki, Ioanna, Mitsias, Dimitris, Manousakis, Emmanouil, Papadopoulos, Nikolaos G, Knibb, Rebecca, Hammond, Jennifer, Cooke, Richard, Yrjänä, Jaakko, Hanni, Anna-Maija, Vähäsarja, Päivi, Mustonen, Oona, Dunder, Teija, Kulmala, Petri, Lasa, Eva, D’Amelio, Carmen, Martínez, Sara, Joral, Alejandro, Gastaminza, Gabriel, Goikoetxea, Maria J, Candy, David C A, Van Ampting, Marleen T J, Oude Nijhuis, Manon M, Butt, Assad M, Peroni, Diego G, Fox, Adam T, Knol, Jan, Michaelis, Louise J, Padua, Ines, Padrao, Patricia, Moreira, Pedro, Barros, Renata, Sharif, Hanan, Ahmed, Manzoor, Gomaa, Nehad, Mens, Joris, Smit, Koen, Timmermans, Frans, Poredoš, Tomaž, Jeverica, Anja K, Sedmak, Marjeta, Benedik, Evgen, Accetto, Meta, Zupančič, Mirjana, Yonamine, Glauce, Soldateli, Gustavo, Aquilante, Bruna, Pastorino, Antonio C, de Moraes Beck, Cleonir L, Gushken, Andrea K, de Barros Dorna, Mayra, dos Santos, Cristiane N, Castro, Ana P M, Al-Qahtani, Abdulhadi, Arnaout, Rand, Khaliq, Agha R, Amin, Rashid, Sheikh, Farrukh, Alvarez, Jorge, Anda, Marta, Palacios, Miriam, De Prada, Montserrat, Ponce, Carmen, Balbino, Bianca, Sibilano, Riccardo, Marichal, Thomas, Gaudenzio, Nicolas, Karasuyama, Hajime, Bruhns, Pierre, Tsai, Mindy, Reber, Laurent L, Galli, Stephen J, Ferreira, Ana R, Cernadas, Josefina R, del Campo García, Aida, Fernández, Sara P, Carrera, Nerea S, Sánchez-Cruz, Fernando B, Lorenzo, José R F, Claus, Stephanie, Pföhler, Claudia, Ruëff, Franziska, Treudler, Regina, Jaume, Mercedes E, Madroñero, Agustin, Perez, Maria T G, Julia, Juan C, Plovdiv, Charlotte H, Gethings, Lee, Langridge, Jim, Adel-Patient, Karine, Bernard, Hervé, Barcievic-Jones, Ivona, Sokolova, Raditsa, Yankova, Rumyana, Ivanovska, Mariya, Murdjeva, Marianna, Popova, Tatyana, Dermendzhiev, Svetlan, Karjalainen, Martin, Lehnigk, Ulrike, Brown, Duncan, Locklear, Julie C, Locklear, Julie, Maris, Ioana, Hourihane, Jonathan, Ornelas, Cristina, Caiado, Joana, Ferreira, Manuel B, Pereira-Barbosa, Manuel, Puente, Yolanda, Daza, Juan C, Monteseirin, Francisco J, Ukleja-Sokolowska, Natalia, Gawronska-Ukleja, Ewa, Zbikowska-Gotz, Magdalena, Bartuzi, Zbigniew, Sokolowski, Lukasz, Adams, Aine, Mahon, Bernard, English, Karen, Gourdon-Dubois, Nelly, Sellam, Laetitia, Pereira, Bruno, Michaud, Elodie, Messaoudi, Khaled, Evrard, Bertrand, Fauquert, Jean-Luc, Palomares, Francisca, Gomez, Gador, Rodriguez, Maria J, Galindo, Luisa, Molina, Ana, Paparo, Lorella, Mennini, Maurizio, Aitoro, Rosita, Wawrzeńczyk, Adam, Przybyszewski, Michał, Wawrzeńczyk, Anna, Sarıcoban, Hulya E, Ugras, Meltem, Yalvac, Zerrin, Flokstra-de Blok, Bertine M J, van der Velde, J. L, Vereda, Andrea, Ippolito, Clara, Traversa, Amaranta, Adriano, Daniela, Bianchi, Daniela M, Gallina, Silvia, Decastelli, Lucia, Makatsori, Melina, Miles, Anne, Devetak, Sonja P, Devetak, Iztok, Tabet, Soraya A, Trandbohus, Jeanette F, Winther, Pernille, Malling, Hans-Jørgen, Hansen, Kirsten S, Garvey, Lene H, Wang, Chia-Chi, Cheng, Yin-Hua, Tung, Chun-Wei, Dietrich, Mariola, Marenholz, Ingo, Kalb, Birgit, Grosche, Sarah, Blümchen, Katharina, Schlags, Rupert, Price, Mareike, Rietz, Sylke, Esparza-Gordillo, Jorge, Lau, Susanne, Lee, Young-Ae, Almontasheri, Ali, Bahkali, Mohammad A, Elshorbagi, Sahar, Alfhaid, Abdullah, Altamimi, Mashary, Madbouly, Eman, Al-Dhekri, Hassan, Arnaout, Rand K, Basagaña, Maria, Miquel, Sira, Bartolomé, Borja, Brix, Bettina, Rohwer, Stefanie, Brandhoff, Sandra, Berger, Alena, Suer, Waltraud, Weimann, Alf, Bueno, Cristina, Martín-Pedraza, Laura, Abián, Sara, Segundo-Acosta, Pablo S, López-Rodríguez, Juan C, Barderas, Rodrigo, Batanero, Eva, Cuesta-Herranz, Javier, Villalba, María T, Correia, Magna, Benito-Garcia, Filipe, Arêde, Cristina, Piedade, Susana, Morais-Almeida, Mário, Hindley, James, Yarham, Ross, Kuklinska-Pijanka, Anna, Gillick, David, Patient, Karine, Chapman, Martin D, Miranda, Ana, Matos, Eugénia, Sokolova, Anna, Rao, Huan, Baricevic-Jones, Ivona, Smith, Frances, Xue, Wentong, Magnusdottir, Helga, Vidarsdottir, Anna G, Lund, Sigrun, Jensen, Anders B, Ludviksson, Bjorn R, Simon, Reyna, Elfont, Robert, Bennett, Sean, Voyksner, Robert, de Lurdes Torre, Maria, Yürek, Songül, Faber, Margaretha A, Bastiaensen, Annick, Mangodt, Evelyne, van Gasse, Athina, Decuyper, Ine, Sabato, Vito, Hagendorens, Margo M, Bridts, Chris H, De Clerck, Luc S, Ebo, Didier, Schwarz, Susanne, Ziegert, Mandy, Albroscheit, Saskia, Schwager, Christian, Kull, Skadi, Behrends, Jochen, Röckendorf, Niels, Schocker, Frauke, Frey, Andreas, Homann, Arne, Becker, Wolf-Meinhard, Jappe, Uta, Zaabat, Nesrine, Osscini, Sylvia, Agabriel, Chantal, Sterling, Benoît, Carsin, Ania, Liabeuf, Valérie, Maćków, Monica, Zbróg, Alina, Bronkowska, Monica, Courtois, Justine, Gadisseur, Romy, Bertholet, Catherine, Lukas, Pierre, Cavalier, Etienne, Delahaut, Philippe, Quinting, Birgit, Gertmo, Margareta B, Hasseus, Ewa T, Barzylovych, Vladyslava, Oliveira, Júlio, Ensina, Luis F, Aranda, Carolina S, Dopazo, Leire, Lopez, Rebeca, Perez, Raquel, Santos-Diez, Laura, Bilbao, Agurtzane, Garcia, Juan M, Núñez, Ignacio G, Mármol, María Á A, Villarejo, María J B, Martos, José A B, Vergara, Marina S, García, José M I, Michalska, Agata, Sergiejko, Grzegorz, Zacniewski, Robert, Ghiordanescu, Ileana-Maria, Deaconu, Cristina, Popescu, Mihaela, Bumbacea, Roxana S, Ibranji, Alkerta, Nikolla, Elida, Loloci, Gjustina, Juel-Berg, Nanna, Larsen, Lau F, Poulsen, Lars K, Marcelino, João, Prata, Ricardo, Costa, Ana C, Duarte, Fátima, Neto, Marta, Santos, Jennifer, Pestana, Luís C, Sampaio, Daniel, Minale, Paola, Dignetti, Paola, Bignardi, Donatella, Nedelea, Irena, Popescu, Florin-Dan, Vieru, Mariana, Secureanu, Florin-Adrian, Ganea, Carmen S, Vieira, Miguel, Silva, José P M, Watts, Timothy, Watts, Sophia, Lomikovska, Marta, Peredelskaya, Marina, Nenasheva, Natalia, Filipovic, Ivana, Zivkovic, Zorica, Filipovic, Djordje, Higgs, Jennette, Warner, Amena, and Jones, Carla

Published
2017

31. A Fast Panel Code for Complex Actuator Disk Flows

Author

Gamme, S. (author), De Oliveira Andrade, G.L. (author), Ragni, D. (author), Lau, F. (author), Gamme, S. (author), De Oliveira Andrade, G.L. (author), Ragni, D. (author), and Lau, F. (author)

Abstract

A fast, linear scaling vortex method is presented to study inviscid incompressible flow problems involving one or more actuator disks. Building upon previous efforts that were limited to axi-symmetric flow cases, the proposed methodology is able to handle arbitrary configurations with no symmetry constraints. Applications include the conceptual study of wake interaction mechanisms in wind farms, and the correction of wind tunnel blockage effects in test sections of arbitrary shape. Actuator disks represent wind turbines through the shedding of a deformable vortex wake, discretized with a plaid of triangular distributed dipole singularities. An iterative method is adopted to align the wake with the local flow field, which is reconstructed from the vorticity field with a Green function approach. Interactions are computed with a Fast Multipole Method (FMM), effectively overcoming the quadratic scaling of computational time associated with traditional panel methods. When compared to direct computation, the use of an FMM algorithm reduced solution time by a factor 30 when studying the wake of a single actuator disk with 60000 panels. In the same case, the mass flux of the actuator streamtube was conserved to 0:002%. Finally, the presence of round and square impermeable walls around the actuator is considered to demonstrate the code applicability to wind tunnel wall interference correction problems., Wind Energy

Published
2017
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32. The immunoglobulin superfamily member CD200R identifies cells involved in type 2 immune responses

Author

Blom, Lars H, Martel, Britta C, Larsen, Lau F, Hansen, Camilla V, Christensen, Malene P, Juel-Berg, Nanna, Litman, Thomas, Poulsen, Lars K, Blom, Lars H, Martel, Britta C, Larsen, Lau F, Hansen, Camilla V, Christensen, Malene P, Juel-Berg, Nanna, Litman, Thomas, and Poulsen, Lars K

Abstract

BACKGROUND: The pathology of allergic diseases involves type 2 immune cells, such as Th2, ILC2, and basophils exerting their effect by production of IL-4, IL-5, and IL-13. However, surface receptors that are specifically expressed on type 2 immune cells are less well documented. The aim of this investigation was to identify surface markers associated with type 2 inflammation.METHODS: Naïve human CD4(+) T-cells were short-term activated in the presence or absence of IL-4, and analysed for expression of >300 cell-surface proteins. Ex vivo isolated PBMCs from peanut and non-allergic allergic subjects, were stimulated (14-16h) with peanut extract to detect peanut-specific CD4(+) CD154(+) T-cells. Biopsies were obtained for transcriptomic analysis from healthy controls and patients with extrinsic or intrinsic atopic dermatitis and psoriasis.RESULTS: Expression analysis of >300 surface proteins enabled identification of IL-4 up-regulated surface proteins, such as CD90, CD108, CD109, and CD200R (CD200R1). Additional analysis of in vitro differentiated Th0, Th1, and Th2 cultures, identified CD200R as up-regulated on Th2 cells. From ex vivo isolated PBMCs, we found high expression of CD200R on Th2 and ILC2 cells and basophils. In peanut-allergic subjects the peanut-specific Th2 (CD154(+) CRTh2(+) ) cells expressed more CD200R than the non-allergen specific Th2 (CD154(-) CRTh2(+) ) cells. Moreover, co-staining of CD161 and CD200R identified peanut-specific highly differentiated IL-4(+) IL-5(+) Th2 cells. Finally, transcriptomic analysis revealed up-regulation of CD200R in lesional skin from subjects with an extrinsic atopic dermatitis phenotype compared to healthy skin.CONCLUSION: These results indicate that CD200R expression strongly correlates with Th2 pathology; though, the mechanism is as yet elusive. This article is protected by copyright. All rights reserved.

Published
2017

33. Message from the WAGSSDA chairs

Author

Abramson, D, Alexandrov, V, Ashworth, M, Buyya, R, Coddington, P, Deelman, E, De Roure, D, Hawick, K, King, C, Laforenza, D, Lau, F, Moore, R, Morrison, J, Ong, H, Paprzycki, M, Parastatidis, S, Petcu, D, Rana, O, Uthayopas, P, Wang, C, Williams, R, Yang, J, Yunck, T, Zhang, L, and Katz, D

Published
2016

34. Gazing at clouds to understand turbulence on wind turbine airfoils

Author

De Oliveira Andrade, G.L., Balbino dos Santos Pereira, R., Timmer, W.A., Ragni, D., Lau, F., and van Bussel, G.J.W.

Abstract

There are many ways to learn from data. Our first experiment consisted in reproducing the way aerodynamicists work [2] with a genetic optimizer. The data pool was too narrow and asymptotic tendencies were unreliable. Our 2nd Experiment, a simple version of [4], had a virtually unlimited data pool and used neural networks. Results were better, but computationally expensive. Data assimilation approaches used in EO [ 7] could yield better results..

Published
2016

35. Gazing at clouds to understand turbulence on wind turbine airfoils

Author

De Oliveira Andrade, G.L. (author), Balbino dos Santos Pereira, R. (author), Timmer, W.A. (author), Ragni, D. (author), Lau, F. (author), van Bussel, G.J.W. (author), De Oliveira Andrade, G.L. (author), Balbino dos Santos Pereira, R. (author), Timmer, W.A. (author), Ragni, D. (author), Lau, F. (author), and van Bussel, G.J.W. (author)

Abstract

There are many ways to learn from data. Our first experiment consisted in reproducing the way aerodynamicists work [2] with a genetic optimizer. The data pool was too narrow and asymptotic tendencies were unreliable. Our 2nd Experiment, a simple version of [4], had a virtually unlimited data pool and used neural networks. Results were better, but computationally expensive. Data assimilation approaches used in EO [ 7] could yield better results.., Wind Energy

Published
2016

36. Novel SIR-Estimation-Based Power Control in a CDMA Mobile Radio System Under Multipath Environment

Author

Lau, F. C. M. and Tam, W. M.

Subjects
Mobile communication systems -- Research, Signal to noise ratio -- Research, Multichannel communication -- Research, Business, Electronics, Electronics and electrical industries, Transportation industry
Abstract

A novel decisive algorithm based on signal-to-interference power ratio estimation has been proposed to control the power transmission of the mobiles in a code-division multiple-access mobile radio system under multipath environment. A simple second-order equation, together with three different sets of measurement and power-control periods, is first used to predict the power gains of the channels. Based on the predicted power gains, five decision rules have been proposed to determine the power-control commands for the mobiles. The novel algorithm with the best prediction method and decision rule has been observed to accomplish a lower outage probability when compared with the conventional power-control algorithm with optimum power-control threshold. Index Terms--Code division multiple access (CDMA), power control, signal-to-interference power ratio (SIR) estimation.

Published
2001

39. Physical effects of mechanical design parameters on photon sensitivity and spatial resolution performance of a breast-dedicated PET system

Author

Spanoudaki, V. C., Lau, F. W. Y., Vandenbroucke, A., and Levin, C. S.

Subjects
Diagnostic Imaging, Photons, Time Factors, Radiation Imaging Physics, Positron-Emission Tomography, Temperature, Humans, Reproducibility of Results, Scattering, Radiation, Breast Neoplasms, Breast, Equipment Design, Monte Carlo Method
Abstract

This study aims to address design considerations of a high resolution, high sensitivity positron emission tomography scanner dedicated to breast imaging.The methodology uses a detailed Monte Carlo model of the system structures to obtain a quantitative evaluation of several performance parameters. Special focus was given to the effect of dense mechanical structures designed to provide mechanical robustness and thermal regulation to the minuscule and temperature sensitive detectors.For the energies of interest around the photopeak (450-700 keV energy window), the simulation results predict a 6.5% reduction in the single photon detection efficiency and a 12.5% reduction in the coincidence photon detection efficiency in the case that the mechanical structures are interspersed between the detectors. However for lower energies, a substantial increase in the number of detected events (approximately 14% and 7% for singles at a 100-200 keV energy window and coincidences at a lower energy threshold of 100 keV, respectively) was observed with the presence of these structures due to backscatter. The number of photon events that involve multiple interactions in various crystal elements is also affected by the presence of the structures. For photon events involving multiple interactions among various crystal elements, the coincidence photon sensitivity is reduced by as much as 20% for a point source at the center of the field of view. There is no observable effect on the intrinsic and the reconstructed spatial resolution and spatial resolution uniformity.Mechanical structures can have a considerable effect on system sensitivity, especially for systems processing multi-interaction photon events. This effect, however, does not impact the spatial resolution. Various mechanical structure designs are currently under evaluation in order to achieve optimum trade-off between temperature stability, accurate detector positioning, and minimum influence on system performance.

Published
2010

40. The School of Health Information Science at the University of Victoria: towards an intergrative model for health informatics education and research

Author

Pratti D, Lau F, Borycki E, and Andre Kushniruk

Subjects
Medical education, Informatics, Universities, Victoria, business.industry, Research, Library science, General Medicine, History, 20th Century, Health informatics, Business informatics, Public health informatics, Education, Distance, Health Administration Informatics, Health care, ComputingMilieux_COMPUTERSANDEDUCATION, Medicine, Health education, Curriculum, business
Abstract

Objectives: There is an increasing need for well qualified health informatics practitioners and for educational programs that produce them. Since 1981, the School of Health Information Science at the University of Victoria has delivered a range of educational programs in health informatics. The School’s objective has been to produce graduates who can assume a range of roles in health informatics, including managers, developers, researchers and evaluators of health care systems. Methods: The approach taken by the School has been to provide an integrated “holistic” approach to health informatics education that balances both theory and practice. The curriculum has emphasized interdisciplinary skills and has been based on a process of consultation with key stakeholders in both industry and academia. In addition, several new distance collaborative models for health informatics education (including a distributed MSc degree program) have been recently initiated through the University of Victoria with collaborating Canadian universities. Results: To date, graduates of the programs offered have become highly sought after, with the demand for graduates of the programs continually exceeding the number of graduates. The core undergraduate curriculum has recently been undergone refinement to include training in new emerging areas of health informatics. In addition, a distributed MSc program has been successfully initiated by the School, currently with 23 students participating from dispersed geographical locations across Canada. Conclusions: The School of Health Information Science at the University of Victoria has been involved in providing unique interdisciplinary education in health informatics for over twenty years. The School continues to maintain its emphasis on integrated education, refining its curriculum and moving into new areas such as distance education and cross-Canadian collaborations. Haux R, Kulikowski C, editors. IMIA Yearbook of Medical Informatics 2006. Methods Inf Med 2006; 45 Suppl 1: S159-65.

Published
2006

41. Identified hadron spectra at large transverse momentum in p+p and d+Au collisions at \sqrts_NN = 200 GeV

Author

Adams, J., Aggarwal, M.M., Ahammed, Z., Amonett, J., Anderson, B.D., Anderson, M., Arkhipkin, D., Averichev, G.S., Badyal, S.K., Bai, Y., Balewski, J., Barannikova, O., Barnby, L.S., Baudot, J., Bekele, S., Bel, V.V., Bellingeri-Laurikainen, A., Bellwied, R., Bezverkhny, B.I., Bharadwaj, S., Bhasin, A., Bhati, A.K., Bichsel, H., Bielcik, J., Bielcikova, J., Billmeier, A., Bland, L.C., Blyth, C.O., Blyth, S.-L., Bonner, B.E., Botje, M., Bouchet, J., Brandin, A.V., Bravar, A., Bystersky, M., Cadman, R.V., Cai, X.Z., Caines, H., Calderón De La Barca Sánchez, M., Castillo, J., Catu, O., Cebra, D., Chajecki, Z., Chaloupka, P., Chattopadhy, S., Chen, H.F., Chen, J.H., Chen, Y., Cheng, J., Cherney, M., Chikanian, A., Choi, H.A., Christie, W., Coffin, J.P., Cormier, T.M., Cosentino, M.R., Cramer, J.G., Crawford, H.J., Das, D., Das, S., Daugherity, M., De Moura, M.M., Dedovich, T.G., Dephillips, M., Derevschikov, A.A., Didenko, L., Dietel, T., Djawotho, P., Dogra, S.M., Dong, W.J., Dong, X., Draper, J.E., Du, F., Dunin, V.B., Dunlop, J.C., Dutta Mazumdar, M.R., Eckardt, V., Edwards, W.R., Efimov, L.G., Emelianov, V., Engelage, J., Eppley, G., Erazmus, B., Estienne, Magali, Fachini, P., Fatemi, R., Fedorisin, J., Filimonov, K., Filip, P., Finch, E., Fine, V., Fisyak, Y., Fornazier, K.S.F., Fu, J., Gagliardi, C.A., Gaillard, L., Gans, J., Ganti, M.S., Ghazikhanian, V., Ghosh, P., Gonzalez, J.E., Gorbunov, Y.G., Gos, H., Grachov, O., Grebenyuk, O., Grosnick, D., Guertin, S.M., Guo, Y., Gupta, Anupam, Gupta, N., Gutierrez, T.D., Haag, B., Hallman, T.J., Hamed, A., Harris, J.W., He, W., Heinz, M., Henry, T.W., Hepplemann, S., Hippolyte, B., Hirsch, A., Hjort, E., Hoffmann, G.W., Horner, M.J., Huang, H.Z., Huang, S.L., Hughes, E.W., Humanic, T.J., Igo, G., Jacobs, P., Jacobs, W.W., Jakl, P., Jia, F., Jiang, H., Jones, P.G., Judd, E.G., Kabana, S., Kang, K., Kapitan, J., Kaplan, M., Keanes, D., Kechechyan, A., Khodyrev, V.Yu., Kim, B.C., Kiryluk, J., Kisiel, A., Kislov, E.M., Klein, S.R., Koetke, D.D., Kollegger, T., Kopytine, M., Kotchenda, L., Kouchpil, V., Kowalik, K.L., Kramer, M., Kravtsov, P., Kravtsov, V.I., Krueger, K., Kuhn, C., Kulikov, A.I., Kumar, A., Kuznetsov, A.A., Lamont, M.A.C., Landgraf, J.M., Langem, S., Lau, F., Lauret, J., Lebedev, A., Lednicky, R., Lee, C.-H., Lehocka, S., LeVine, M.J., Li, C., Li, Q., Li, Y., Lin, G., Lindenbaum, S.J., Lisa, M.A., Liu, Franklin, Liu, Hong, Liu, J., Liu, L., Liu, Z., Ljubicic, T., Llope, W.J., Long, H., Longacre, R.S., Lopez-Noriega, M., Love, W.A., Lu, Y., Ludlam, T., Lynn, D., Ma, G.L., Ma, J.G., Ma, Y.G., Magestro, D., Mahajan, S., Mahapat, D.P., Majka, R., Mangotra, L.K., Manweiler, R., Margetis, S., Markert, C., Martin, Lilian, Matis, H.S., Matulenko, Yu.A., McClain, C.J., McShane, T.S., Melnick, Yu., Meschanin, A., Miller, M.L., Minaev, N.G., Mioduszewski, S., Mironov, C., Mischke, A., Mishra, D.K., Mitchell, J., Mohanty, B., Molnar, L., Moore, C.F., Morozov, D.A., Munhoz, M.G., Nandi, B.K., Nayak, S.K., Nayak, T.K., Nelson, J.M., Netrakanti, P.K., Nikitin, V.A., Nogach, L.V., Nurushev, S.B., Odyniec, G., Ogawa, A., Okorokov, V., Oldenburg, M., Olson, D., Pachr, M., Pal, S.K., Panebratsev, Y., Panitkin, S.Y., Pavlinov, A.I., Pawlak, T., Peitzmann, T., Perevoztchikov, V., Perkins, C., Peryt, W., Petrov, V.A., Phatak, S.C., Picha, R., Planini, M., Pluta, J., Poljak, N., Porile, N., Porter, J., Poskanzer, A.M., Potekhin, M., Potrebenikova, E., Potukuchir, B.V.K.S., Prindle, D., Pruneau, C., Putschke, J., Rakness, G., Raniwala, R., Raniwala, S., Ray, R.L., Razin, S.V., Reinnarth, J., Relyea, D., Retiere, F., Ridiger, A., Ritter, H.G., Roberts, J.B., Rogachevskiy, O.V., Romero, J.L., Rose, A., Roy, C., Ruan, L., Russcher, M.J., Sahoo, R., Sakreja, I., Salur, S., Sandweiss, J., Sarsour, M., Savin, I., Sazhin, P.S., Schambach, J., Scharenberg, R.P., Schmitz, N., Schweda, K., Seger, J., Selyuzhenkov, I., Seyboth, P., Shabetai, Alexandre, Shahaliev, E., Shao, M., Sharma, M., Shen, W.Q., Shimanskiy, S.S., Sichtermann, E., Simon, F., Singaraju, R.N., Smirnov, N., Snellings, R., Sood, G., Sorensen, P., Sowinski, J., Speltz, J., Spinka, H.M., Srivastava, B., Stadnik, A., Stanislaus, T.D.S., Stock, R., Stolpovsky, A., Strikhanov, M., Stringfellow, B., Suaide, A.A.P., Sugarbaker, E., Sumbera, M., Sun, Z., Surrow, B., Swanger, M., Symons, T.J.M., Szanto De Toledo, A., Tai, A., Takahashi, J., Tang, A.H., Tarnowsky, T., Thein, D., Thomas, J.H., Timmins, A.R., Timoshenkoy, S., Tokarev, M., Trainor, T.A., Trentalange, S., Tribble, R.E., Tsai, O.D., Ulery, J., Ullrich, T., Underwood, D.G., Van Buren, G., Van Der Kolk, N., Van Leeuwen, M., Vander Molen, A.M., Varma, R., Vasilevski, I.M., Vasiliev, A.N., Vernet, R., Vigdor, S.E., Viyogi, Y.P., Vokal, S., Voloshin, S.A., Waggoner, W.T., Wang, F., Wang, Gang, Wang, J.S., Wang, X.L., Wang, Y., Watson, J.W., Webb, J.C., Westfall, G.D., Wetzler, A., Whitten, C., Wieman, H., Wissink, S.W., Witt, R., Wood, J., Wu, J., Xu, N., Xu, Q.H., Xu, Z., Yepes, P., Yoo, I.-K., Yurevich, V.I., Zborovsky, I., Zhan, W., Zhang, H., Zhang, W.M., Zhang, Y., Zhang, Z.P., Zhao, Y., Zhong, C., Zoulkarneev, R., Zoulkarneev, Y., Zubarevk, A.N., Zuo, J.X., Département Recherches Subatomiques (DRS-IPHC), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Louis Pasteur - Strasbourg I-Centre National de la Recherche Scientifique (CNRS), Laboratoire SUBATECH Nantes (SUBATECH), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université de Nantes (UN)-Mines Nantes (Mines Nantes), STAR, and Mines Nantes (Mines Nantes)-Université de Nantes (UN)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Nuclear Theory, Fragmentation function, Cronin effect and x_T-scaling, FOS: Physical sciences, [PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex], Nuclear Theory (nucl-th), High Energy Physics - Phenomenology, High Energy Physics - Phenomenology (hep-ph), Perturbative quantum chromodynamics, High Energy Physics::Experiment, Nuclear Experiment (nucl-ex), Particle production, Nuclear Experiment
Abstract

We present the transverse momentum (pT) spectra for identified charged pions, protons and anti-protons from p+p and d+Au collisions at \sqrts_NN = 200 GeV. The spectra are measured around midrapidity (|y| < 0.5) over the range of 0.3 < pT < 10 GeV/c with particle identification from the ionization energy loss and its relativistic rise in the Time Projection Chamber and Time-of-Flight in STAR. The charged pion and proton+anti-proton spectra at high pT in p+p and d+Au collisions are in good agreement with a phenomenological model (EPOS) and with the next-to-leading order perturbative quantum chromodynamic (NLO pQCD) calculations with a specific fragmentation scheme and factorization scale. We found that all proton, anti-proton and charged pion spectra in p+p collisions follow xT-scalings for the momentum range where particle production is dominated by hard processes (pT > 2 GeV/c). The nuclear modification factor around midrapidity are found to be greater than unity for charged pions and to be even larger for protons at 2 < pT < 5 GeV/c., 19 pages and 8 figures, published version and mT scaling included

Published
2006
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43. Towards engineer-to-order product configuration

Author

Xie, H. and Lau, F.

Subjects
engineer-to-order, constraint satisfaction, search algorithms, repair-based heuristic, product configuration
Abstract

This paper presents a system that uses robust, genetic algorithms for solving job shop scheduling problems. The system uses the algorithms to evolve an appropriate permutation for dispatching rules and batch sizes with an encode-decode strategy. It then uses a non-delay heuristic algorithm to construct a feasible solution according to the permutation. The algorithms take into consideration not only job processing time but also setup time and offers good potential for reducing work in progress, an essential factor for production planning., 15th International Conference on Computer Application in Industry and Engineering: 01 November 2002, San Diego, CA.

Published
2002

45. Functional analysis of the protein machinery required for transport of lipopolysaccharide to the outer membrane of Escherichia coli

Author

Sperandeo, P, Lau, F, Carpentieri, A, De Castro, C, Molinaro, A, Dehò, G, Silhavy, T, Polissi, A, POLISSI, ALESSANDRA, Sperandeo, P, Lau, F, Carpentieri, A, De Castro, C, Molinaro, A, Dehò, G, Silhavy, T, Polissi, A, and POLISSI, ALESSANDRA

Abstract

Lipopolysaccharide (LPS) is an essential component of the outer membrane (OM) in most gram-negative bacteria, and its structure and biosynthetic pathway are well known. Nevertheless, the mechanisms of transport and assembly of this molecule at the cell surface are poorly understood. The inner membrane (IM) transport protein MsbA is responsible for flipping LPS across the IM. Additional components of the LPS transport machinery downstream of MsbA have been identified, including the OM protein complex LptD/LptE (formerly Imp/RlpB), the periplasmic LptA protein, the IM-associated cytoplasmic ATP binding cassette protein LptB, and LptC (formerly YrbK), an essential IM component of the LPS transport machinery characterized in this work. Here we show that depletion of any of the proteins mentioned above leads to common phenotypes, including (i) the presence of abnormal membrane structures in the periplasm, (ii) accumulation of de novo-synthesized LPS in two membrane fractions with lower density than the OM, and (iii) accumulation of a modified LPS, which is ligated to repeating units of colanic acid in the outer leaflet of the IM. Our results suggest that LptA, LptB, LptC, LptD, and LptE operate in the LPS assembly pathway and, together with other as-yet-unidentified components, could be part of a complex devoted to the transport of LPS from the periplasmic surface of the IM to the OM. Moreover, the location of at least one of these five proteins in every cellular compartment suggests a model for how the LPS assembly pathway is organized and ordered in space. Copyright © 2008, American Society for Microbiology. All Rights Reserved.

Published
2008

46. Design and Testing of a Morphing Wing for an Experimental UAV

Author

UNIVERSITY OF BEIRA INTERIOR COVILHA (PORTUGAL), Gamboa, P., Aleixo, P., Vale, J., Lau, F., Suleman, A., UNIVERSITY OF BEIRA INTERIOR COVILHA (PORTUGAL), Gamboa, P., Aleixo, P., Vale, J., Lau, F., and Suleman, A.

Abstract

A morphing concept for wing drag reduction for a small UAV is presented. The results of a computational assessment of the morphing concept benefits are shown. 14% to 30% drag reduction in different flight stages serve as motivation for the construction of a prototype. Design requirements of the morphing mechanism structure are pointed out and constructive solutions are shown. Feasibility and functionality of the constructive solutions are discussed briefly. Wind tunnel test results are not available yet., See also ADM202416., The original document contains color images. Published in RTO-MP-AVT-146 AC/323(AVT-146)TP/119. Presented at the Joint Symposium for Platform Innovations and System Integration for Unmanned Air, Land and Sea Vehicles, p17-1/17-30 2007.

Published
2007

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