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  • 1
    Electronic Resource
    Electronic Resource
    Der infizierte arterielle Stent (1998)
    Springer
    Der Chirurg 69 (1998), S. 872-876 
    Details
    ISSN: 1433-0385
    Keywords: Key words: PTA ; Arterial stenting ; Bacterial arteritis ; Septic embolization ; Staphylococcus aureus. ; Schlüsselwörter: Percutane Angioplastie ; arterielle Stentimplantation ; bakterielle Arteriitis ; septische Embolisierung ; Staphylococcus aureus.
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Description / Table of Contents: Zusammenfassung. Gefäßinfektionen nach percutanen endovasculären Maßnahmen sind selten. Wir berichten von einer bakteriellen Arteriitis nach PTA und Stentimplantation in eine Iliacalarterie mit konsekutiver septischer Embolisierung, ipsilateralem Kniegelenkempyem und Ausbildung eines infizierten Aneurysma spuriums. Als Ursache muß eine Kontamination des Stents mit Staphylococcus aureus angenommen werden. Die Behandlung bestand in der Resektion des entzündeten Gefäßabschnittes mit Stententfernung und autologer Rekonstruktion.
    Notes: Summary. Vascular infections after percutaneous endovascular procedures are rare. We report a case of bacterial arteritis following PTA and stent implantation into an iliac artery. It was complicated by septic embolization, ipsilateral empyema of the knee joint and formation of an infected false aneurysm. Contamination of the stent with Staphylococcus aureus is likely to be the cause. The treatment included resection of the infected arterial segment, removal of the stent, and autologous reconstruction.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/s001040050504
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    Paper (German National Licenses)
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  • 2
    Electronic Resource
    Electronic Resource
    Reasons for the decomposition of the fungicide thiram during preparation of fruit and vegetable samples and consequences for residue analysis (2000)
    Springer
    Fresenius' journal of analytical chemistry 366 (2000), S. 851-856 
    Details
    ISSN: 1432-1130
    Source: Springer Online Journal Archives 1860-2000
    Topics: Chemistry and Pharmacology
    Notes: Abstract The concentration of thiram in aqueous solution decreases by 50–75% within 20 min in the presence of cut pieces of apple, cucumber or celeriac with a section surface area of 160 cm2 each. The decomposition rate is predominantly influenced by the section surface area of the cut fruit and vegetable samples. Denaturing reaction conditions (exchange of the solvent water by methanol; boiling of sample material) will significantly slow down the decomposition rate. It was concluded that the thiram decomposition had been caused by enzymes on the section surface of the fruit and vegetable samples. For a specific determination of thiram, a simple rinsing of the intact fruit and vegetable material was appropriate as extraction method. For the screening of thiram residues, the often used Keppel method, which determines CS2 from thiram or dithiocarbamates seems to be applicable even if samples had been coarsely cut, since decomposition of the CS2-forming intermediates is slower than the breakdown of thiram itself. Therefore, specific determination of thiram is necessary only, if maximum residue limits for dithiocarbamates are not adhered to.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/s002160051584
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    Paper (German National Licenses)
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  • 3
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    An effective framework for reconstructing gene regulatory networks from genetical genomics data (2013)
    Oxford University Press
    Details
    Publication Date: 2013-01-17
    Description: Motivation: Systems Genetics approaches, in particular those relying on genetical genomics data, put forward a new paradigm of large-scale genome and network analysis. These methods use naturally occurring multi-factorial perturbations (e.g. polymorphisms) in properly controlled and screened genetic crosses to elucidate causal relationships in biological networks. However, although genetical genomics data contain rich information, a clear dissection of causes and effects as required for reconstructing gene regulatory networks is not easily possible. Results: We present a framework for reconstructing gene regulatory networks from genetical genomics data where genotype and phenotype correlation measures are used to derive an initial graph which is subsequently reduced by pruning strategies to minimize false positive predictions. Applied to realistic simulated genetic data from a recent DREAM challenge, we demonstrate that our approach is simple yet effective and outperforms more complex methods (including the best performer) with respect to (i) reconstruction quality (especially for small sample sizes) and (ii) applicability to large data sets due to relatively low computational costs. We also present reconstruction results from real genetical genomics data of yeast. Availability: A MATLAB implementation (script) of the reconstruction framework is available at www.mpi-magdeburg.mpg.de/projects/cna/etcdownloads.html Contact: klamt@mpi-magdeburg.mpg.de
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
    Published by Oxford University Press
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