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Träfflista för sökning "L773:1569 1993 OR L773:1873 5010 "

Sökning: L773:1569 1993 OR L773:1873 5010

  • Resultat 1-10 av 54
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1.
  • Andersson, Tommy (författare)
  • Moment-method calculations of scattering by a square plate using singular basis functions and multipole expansions
  • 1993
  • Ingår i: Journal Electromagnetic Waves and Applications. - 1569-3937. ; 7:1, s. 93-121
  • Tidskriftsartikel (refereegranskat)abstract
    • The method of moments is used to solve electromagenetic boundary value problems numerically. It is known that the choice of basis functions is crucial for the numerical efficiency. Fast convergence is achieved provided the basis functions efficiently approximate the unknown function. In this paper the far field (incl. RCS) of a thin square conducting plate is calculated. Basis functions with correct edge and corner singularities are shown to greatly enhance the convergence compared to ordinary "rooftop" functions. The calculations of the matrix elements as well as the right side of the matrix equation and the scattered field are simplified by the use of a multipole technique.
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2.
  • Abid, Nosheen, 1993-, et al. (författare)
  • UCL: Unsupervised Curriculum Learning for Water Body Classification from Remote Sensing Imagery
  • 2021
  • Ingår i: International Journal of Applied Earth Observation and Geoinformation. - : Elsevier. - 1569-8432 .- 1872-826X. ; 105
  • Tidskriftsartikel (refereegranskat)abstract
    • This paper presents a Convolutional Neural Networks (CNN) based Unsupervised Curriculum Learning approach for the recognition of water bodies to overcome the stated challenges for remote sensing based RGB imagery. The unsupervised nature of the presented algorithm eliminates the need for labelled training data. The problem is cast as a two class clustering problem (water and non-water), while clustering is done on deep features obtained by a pre-trained CNN. After initial clusters have been identified, representative samples from each cluster are chosen by the unsupervised curriculum learning algorithm for fine-tuning the feature extractor. The stated process is repeated iteratively until convergence. Three datasets have been used to evaluate the approach and show its effectiveness on varying scales: (i) SAT-6 dataset comprising high resolution aircraft images, (ii) Sentinel-2 of EuroSAT, comprising remote sensing images with low resolution, and (iii) PakSAT, a new dataset we created for this study. PakSAT is the first Pakistani Sentinel-2 dataset designed to classify water bodies of Pakistan. Extensive experiments on these datasets demonstrate the progressive learning behaviour of UCL and reported promising results of water classification on all three datasets. The obtained accuracies outperform the supervised methods in domain adaptation, demonstrating the effectiveness of the proposed algorithm.
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4.
  • Bahmanyar, Shahram, et al. (författare)
  • Cystic fibrosis gene mutations and gastrointestinal diseases
  • 2010
  • Ingår i: Journal of Cystic Fibrosis. - : Elsevier BV. - 1569-1993 .- 1873-5010. ; 9:4, s. 288-291
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: This study examined if CF mutation heterozygosity is associated with diseases of gastrointestinal epithelial barrier function. Design and methods: Swedish registers identified 865 patients with a diagnosis of CF between 1968 and 2003 and matched with 8101 individuals without CF. Gastrointestinal disease risk was examined among 1534 biological parents and 1396 siblings of CF patients, compared with 15,526 parents and 15,542 siblings of individuals without CF. Results: First-degree relatives of CF patients were not at lower risk of the gastrointestinal diseases, in contrast with a raised risk among CF patients. Conclusion: Heterozygosity for CF gene mutations does not protect against gastrointestinal diseases where impaired barrier function may be relevant. (C) 2010 European Cystic Fibrosis Society. Published by Elsevier B.V. All rights reserved.
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7.
  • Bresso, F, et al. (författare)
  • The cystic fibrosis F508del mutation in Crohn's disease
  • 2011
  • Ingår i: Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society. - : Elsevier BV. - 1873-5010. ; 10:2, s. 132-132
  • Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)
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9.
  • Carlsson, Malin, et al. (författare)
  • Pseudomonas aeruginosa in cystic fibrosis: Pyocyanin negative strains are associated with BPI-ANCA and progressive lung disease
  • 2011
  • Ingår i: Journal of Cystic Fibrosis. - : Elsevier Science B.V., Amsterdam.. - 1569-1993 .- 1873-5010. ; 10:4, s. 265-271
  • Tidskriftsartikel (refereegranskat)abstract
    • The clinical consequence of chronic Pseudomonas aeruginosa colonization in cystic fibrosis (CF) varies between individuals for unknown reasons. Auto-antibodies against bactericidal/permeability increasing protein (BPI-ANCA) are associated with poor prognosis in CF. We hypothesize that there is a correlation between the presence of BPI-ANCA, the properties of the colonizing bacteria and the clinical conditions of the host. We compared isolates of P. aeruginosa from BPI-ANCA positive CF patients who have deteriorating lung disease with BPI-ANCA negative CF patients who are in stable clinical conditions. Epithelial cells (A549) and isolated polymorphonuclear granulocytes (PMNs) were stimulated with the isolates and cell death was analyzed with flow cytometry. We found that the ANCA associated strains in most cases showed pyocyanin negative phenotypes. These strains also induced less inflammatory response than the non-ANCA associated strains as shown by apoptosis and necrosis of epithelial cells and neutrophils. Our results suggest that colonization with strains of P. aeruginosa that induce a weak inflammatory response is associated with unfavorable outcome in CF. We speculate that inadequate control of pathogen proliferation through an insufficient inflammatory response results in a slowly increasing number of bacteria and accumulation of dying PMNs in the airways, contributing to progression in CF lung disease.
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10.
  • Carr, S.B., et al. (författare)
  • Factors associated with clinical progression to severe COVID-19 in people with cystic fibrosis: A global observational study
  • 2022
  • Ingår i: Journal of Cystic Fibrosis. - : Elsevier BV. - 1569-1993. ; 21:4, s. E221-E231
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: This international study aimed to characterise the impact of acute SARS-CoV-2 infection in people with cystic fibrosis and investigate factors associated with severe outcomes. Methods Data from 22 countries prior to 13th December 2020 and the introduction of vaccines were included. It was de-identified and included patient demographics, clinical characteristics, treatments, outcomes and sequalae following SARS-CoV-2 infection. Multivariable logistic regression was used to investigate factors associated with clinical progression to severe COVID-19, using the primary outcome of hospitalisation with supplemental oxygen. Results: SARS-CoV-2 was reported in 1555 people with CF, 1452 were included in the analysis. One third were aged <18 years, and 9.4% were solid-organ transplant recipients. 74.5% were symptomatic and 22% were admitted to hospital. In the non-transplanted cohort, 39.5% of patients with ppFEV1<40% were hospitalised with oxygen verses 3.2% with ppFEV >70%: a 17-fold increase in odds. Worse outcomes were independently associated with older age, non-white race, underweight body mass index, and CF-related diabetes. Prescription of highly effective CFTR modulator therapies was associated with a significantly reduced odds of being hospitalised with oxygen (AOR 0.43 95%CI 0.31-0.60 p<0.001). Transplanted patients were hospitalised with supplemental oxygen therapy (21.9%) more often than non-transplanted (8.8%) and was independently associated with the primary outcome (Adjusted OR 2.45 95%CI 1.27-4.71 p=0.007). Conclusions: This is the first study to show that there is a protective effect from the use of CFTR modulator therapy and that people with CF from an ethnic minority are at more risk of severe infection with SARS-CoV-2. © 2022
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