Fachbereich Ingenieur- und Naturwissenschaften
Refine
Document Type
- Article (18) (remove)
Year of publication
- 2017 (18) (remove)
Institute
Has Fulltext
- yes (18)
Is part of the Bibliography
- yes (18) (remove)
Keywords
- DNA (2)
- glycoengineering (2)
- 7OTD (1)
- C60 fullerene (1)
- CHO (1)
- Cdc6 (1)
- DNA synthesis (1)
- Dele (1)
- ESPI (1)
- F-protein (1)
Von 2005 bis 2008 war es gelungen, für mehrere Netze des Schienenpersonenverkehrs durch den Einsatz mathematischer Optimierungsverfahren Verbesserungen in den Fahrplänen zu erzielen. Seither stehen weitere solche Einsätze aus. Der vorliegende Beitrag reflektiert daher, ob die eingesetzten Methoden und nicht zuletzt ggf. sogar die Zielgruppe(n) einer Justierung bedürfen.
Wettbewerb prägt den liberalisierten Eisenbahnmarkt in Europa und macht unternehmerisches Denken und Handeln der Eisenbahnverkehrsunternehmen im Fern-, Nah- und Güterverkehr erforderlich. Dabei ist der Umgang mit der Fahrzeuginstandhaltung ein wichtiger Erfolgsfaktor. Der vorliegende Artikel fokussiert sich auf die außerplanmäßige Instandhaltung und beschreibt die methodische Herleitung eines mathematischen Modells um den Schädigungszustand, also den Grad der Schädigung einer Flotte von Eisenbahnfahrzeugen, in eine valide Korrelation mit vorhandenen betrieblichen Ressourcen zu bringen. Diese Wechselbeziehung wird in eine allgemeingültige Kennzahl, dem Schadindex überführt und mittels eines geeigneten Prognosemodells in seinem zeitlichen Verlauf vorhersagbar dargestellt. Die Prognose berücksichtigt auch die Möglichkeit zur iterativen Anpassung der betrieblichen Ressourcen. So kann beispielsweise das zukünftige Schädigungsverhalten einer Eisenbahnfahrzeugflotte in Abhängigkeit einer veränderten Fahrzeugzahl oder einer Umstellung der Mitarbeiterbesetztzeiten in den Instandhaltungswerken simuliert werden. Mit einer systematischen Anwendung des Schadindex erhalten Eisenbahnverkehrsunternehmen mehr Handlungsspielräume zur Verfolgung ihrer strategischen und wirtschaftlichen Ziele. Aus einem Reagieren auf unerwartete Fahrzeugausfälle, wird ein Agieren bereits im Vorfeld dieser Ausfälle.
Laboratory plasmas inherently exhibit temperature and density gradients leading to complex investigations. We show that plasmas generated by laser ablation can constitute a robust exception to this. Supported by emission features not observed with other sources, we achieve plasmas of various compositions which are both uniform and in local thermodynamic equilibrium. These properties characterize an ideal radiation source opening multiple perspectives in plasma spectroscopy. The finding also constitutes a breakthrough in the analytical field as fast analyses of complex materials become possible.
During the last years, various approaches on an individualized drug therapy for benign cells have been researched. However, due to the complex topic a universal approach has not been found up until this point. Commonly, the effect of cytotoxic drugs on benign cells is in most cases the same compared to regular cells while the actual effect on patient still can't be predicted. In order to reduce unwanted side effects or unspecific drug reactions a test system for patients which allows to analyse the interaction between cytotoxic agents and the targeted cells is needed. Furthermore, this should also include an adequate measurement system which is capable to work in a natural environment and without any additional preparation. In terms of this work, a first proof of concept with different benign cells and cytotoxic agents is presented while monitoring the obtained displacement using electronic speckle pattern interferometry (ESPI).
Kenyan coffee is classified by defects after grading by the ‘Devonshire method.’ The method involves classification of the coffee beans into different classes based on the raw and roasted coffees and cup quality, with class one being the best and ten the poorest. In this study, the relationship between classification of the coffee and the content of sucrose, trigonelline, caffeine and chlorogenic acids was determined by simultaneous LC-MS analysis. By using the sensory variables the class 3 coffee portrayed the best quality, followed by class 4 and 5 which were placed further distinctively from the other classes (6, 7, 8 and 9). The class 3 coffee had a high percent of non-defective beans with 94.31% and class 9 had a high defect count at 79.53% hence the defective beans increased with decrease in coffee class. The caffeine concentration in green coffee for class 3 coffee was significantly different from the rest of the coffees at 1.23 ± 0.00g/100g. A higher content of trigonelline levels was observed as the quality of the green coffee decreased in classes 6, 7 and 8. The highest level of sucrose in green coffee beans was observed in class 3 coffee and the lowest in the class 9. Lower content of chlorogenic acids were observed among the high quality coffees i.e. class 3, 4 and 5 with class 3 having the lowest while a higher content was observed among the lower quality coffees i.e. classes 6, 7 and 9 with class 6 having a higher content was it significantly different in class 6 compared to 7 and 9?. Quantities of different chemical components among the classes are clear indicators that the classification method used on the Kenyan coffees brings out the differences in coffee quality based on the analysis of the green and the roasted coffees.
An innovative concept of a low-cost pH optode with working volumes of less than 150 µL is presented. The pH monitoring is based on the color changing effect of pH indicators. The optode includes an RGB color sensor patch TCS34725 from Adafruit, a controllable LED and reactor slides and is addressed by a self-written LabVIEW© software. Utilizing the hue value of the HSV color model, it is possible to analyze the color change of the indicator and estimate the pH value of the analyzed samples by exploiting sigmoidal fit models. Measurements carried out with phenol red and DMEM (Dulbecco's Modified Eagle's Medium) reported a standard error of calibration in the physiologic pH range (6.5–7.5) of ±0.04 pH units.
Leishmania species are protozoan parasites and the causative agents of leishmaniasis, a vector borne disease that imposes a large health burden on individuals living mainly in tropical and subtropical regions. Different Leishmania species are responsible for the distinct clinical patterns, such as cutaneous, mucocutaneous, and visceral leishmaniasis, with the latter being potentially fatal if left untreated. For this reason, it is important to perform correct species identification and differentiation. Fourier transform infrared spectroscopy (FTIR) is an analytical spectroscopic technique increasingly being used as a potential tool for identification of microorganisms for diagnostic purposes. By employing mid-infrared (MIR) spectral data, it is not only possible to assess the chemical structures but also to achieve differentiation supported by multivariate statistic analysis. This work comprises a pilot study on differentiation of Leishmania species of the Old World (L. major, L. tropica, L. infantum, and L. donovani) as well as hybrids of distinct species by using vibrational spectroscopic fingerprints. Films of intact Leishmania parasites and their deoxyribonucleic acid (DNA) were characterized comparatively with respect to their biochemical nature and MIR spectral patterns. The strains’ hyperspectral datasets were multivariately examined by means of variance-based principal components analysis (PCA) and distance-based hierarchical cluster analysis (HCA). With the implementation of MIR spectral datasets we show that a phenotypic differentiation of Leishmania at species and intra-species level is feasible. Thus, FTIR spectroscopy can be further exploited for building up spectral databases of Leishmania parasites in view of high-throughput analysis of clinical specimens.
Cutaneous leishmaniasis (CL) is a skin infection caused by a single-celled parasite that is transmitted by the bite of a phlebotomine sandfly. CL is the most common form of leishmaniasis characterized by localized lesions in the skin and mucous membranes. The disease is prevalent in all countries around the Mediterranean Basin. In this paper, we describe spatiotemporal and eco-epidemiological parameters of CL in Libya. Moreover, we explored current spatiotemporal distributions of CL cases and explored the future projection of the disease. Our study indicates the presence of higher risk of CL in the coastal regions of Libya. Future projection until 2060 showed a trend of increasing incidence of CL in the north-western part of Libya, a spread along the coastal region and a possible emergence of new endemics in the north-eastern districts of Libya. These scenarios should be considered by health authorities in order to develop appropriate intervention strategies and plan effective control programs.
Progress in the diagnosis of leishmaniases depends on the development of effective methods and the discovery of suitable biomarkers. We propose firstly an update classification of Leishmania species and their synonymies. We demonstrate a global map highlighting the geography of known endemic Leishmania species pathogenic to humans. We summarize a complete list of techniques currently in use and discuss their advantages and limitations. The available data highlights the benefits of molecular markers in terms of their sensitivity and specificity to quantify variation from the subgeneric level to species complexes, (sub) species within complexes, and individual populations and infection foci. Each DNA-based detection method is supplied with a comprehensive description of markers and primers and proposal for a classification based on the role of each target and primer in the detection, identification and quantification of leishmaniasis infection. We outline a genome-wide map of genes informative for diagnosis that have been used for Leishmania genotyping. Furthermore, we propose a classification method based on the suitability of well-studied molecular markers for typing the 21 known Leishmania species pathogenic to humans. This can be applied to newly discovered species and to hybrid strains originating from inter-species crosses. Developing more effective and sensitive diagnostic methods and biomarkers is vital for enhancing Leishmania infection control programs.
Subunit vaccines often require adjuvants to elicit sustained immune activity. Here, a method is described to evaluate the efficacy of single vaccine candidates in the preclinical stage based on cytokine and gene expression analysis. As a model, the recombinant human respiratory syncytial virus (RSV) fusion protein (RSV-F) was produced in CHO cells. For comparison, wild-type and glycoengineered, afucosylated RSV-F were established. Both glycoprotein vaccines were tested in a commercial Human Artificial Lymph Node in vitro model (HuALN®). The analysis of six key cytokines in cell culture supernatants showed well-balanced immune responses for the afucosylated RSV-F, while immune response of wild-type RSV-F was more Th1 accentuated. In particular, stronger and specific secretion of interleukin-4 after each round of re-stimulation underlined higher potency and efficacy of the afucosylated vaccine candidate. Comprehensive gene expression analysis by nCounter gene expression assay confirmed the stronger onset of the immunologic reaction in stimulation experiments with the afucosylated vaccine in comparison to wild-type RSV-F and particularly revealed prominent activation of Th17 related genes, innate immunity, and comprehensive activation of humoral immunity. We, therefore, show that our method is suited to distinguish the potency of two vaccine candidates with minor structural differences.