Anwendungen des Programmsystem COSAR im Pumpen- und Verdichterbau

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Comparison of omeprazole, metronidazole and clarithromycin with omeprazole/amoxicillin dual-therapy for the cure of Helicobacter pylori infection

In this randomized, multicenter trial, we evaluated the effectiveness and side effect profile of a modified omeprazole-based triple therapy to cure Helicobacter pylori infection. The control group consisted of patients treated with standard dual therapy comprising omeprazole and amoxicillin. One hundred and fifty-seven H. pylori infected patients with duodenal ulcers were randomly assigned to receive either a combination of omeprazole 10 mg, clarithromycin 250 mg and metronidazole 400 mg (OCM) given three times daily for 10 days (n = 81),or a combination of omeprazole 20 mg and amoxicillin 1 g (OA) given twice daily for 14 days (n = 76). Prior to treatment and after 2 and 6 weeks, gastric biopsies from the antrum and corpus were obtained for histology and H. pylori culture. H. pylori infection was cured in 97.4% after OCM and in 65.8% after OA in the per-protocol analysis (p < 0.001) (intention-to-treat analysis: 93.4% and 63.2%, respectively). H. pylori was successfully cultured in 122 patients (77%). The overall rate of metronidazole resistance was 19.7% (24/122), no primary resistance to clarithromycin or amoxicillin was found. In the OCM group, all patients infected with metronidazole-sensitive H. pylori strains (n = 51) and those infected with strains of unknown susceptibility to metronidazole (n = 14)were cured (100%), while 77% (10/13) of those harboring metronidazole-resistant. strains were cured of the infection (p = 0.36). Side effects leading to premature termination of treatment occurred in 2.5% of the patients in the OCM group and in 1.4 % of the OA group. We conclude that combined treatment with omeprazole, clarithromycin and a higher dose of metronidazole is highly effective in curing H, pylori infection, Helicobacter pylori omeprazole and that this regimen remains very effective in the presence of metronidazole resistant strains

Vertical distribution of the particle phase in tropical deep convective clouds as derived from cloud-side reflected solar radiation measurements

Vertical profiles of cloud particle phase in tropical deep convective clouds (DCCs) were investigated using airborne solar spectral radiation data collected by the German High Altitude and Long Range Research Aircraft (HALO) during the ACRIDICON-CHUVA campaign, which was conducted over the Brazilian rainforest in September 2014. A phase discrimination retrieval based on imaging spectroradiometer measurements of DCC side spectral reflectivity was applied to clouds formed in different aerosol conditions. From the retrieval results the height of the mixedphase layer of the DCCs was determined. The retrieved profiles were compared with in situ measurements and satellite observations. It was found that the depth and vertical position of the mixed-phase layer can vary up to 900m for one single cloud scene. This variability is attributed to the different stages of cloud development in a scene. Clouds of mature or decaying stage are affected by falling ice particles resulting in lower levels of fully glaciated cloud layers compared to growing clouds. Comparing polluted and moderate aerosol conditions revealed a shift of the lower boundary of the mixed-phase layer from 5.6 +/- 0.2 km (269 K;moderate) to 6.2 +/- 0.3 km (267 K;polluted), and of the upper boundary from 6.8 +/- 0.2 km (263 K;moderate) to 7.4 +/- 0.4 km (259 K;polluted), as would be expected from theory

Targeting cyclin B1 inhibits proliferation and sensitizes breast cancer cells to taxol

Background Cyclin B1, the regulatory subunit of cyclin-dependent kinase 1 (Cdk1), is essential for the transition from G2 phase to mitosis. Cyclin B1 is very often found to be overexpressed in primary breast and cervical cancer cells as well as in cancer cell lines. Its expression is correlated with the malignancy of gynecological cancers. Methods In order to explore cyclin B1 as a potential target for gynecological cancer therapy, we studied the effect of small interfering RNA (siRNA) on different gynecological cancer cell lines by monitoring their proliferation rate, cell cycle profile, protein expression and activity, apoptosis induction and colony formation. Tumor formation in vivo was examined using mouse xenograft models. Results Downregulation of cyclin B1 inhibited proliferation of several breast and cervical cancer cell lines including MCF-7, BT-474, SK-BR-3, MDA-MB-231 and HeLa. After combining cyclin B1 siRNA with taxol, we observed an increased apoptotic rate accompanied by an enhanced antiproliferative effect in breast cancer cells. Furthermore, control HeLa cells were progressively growing, whereas the tumor growth of HeLa cells pre-treated with cyclin B1 siRNA was strongly inhibited in nude mice, indicating that cyclin B1 is indispensable for tumor growth in vivo. Conclusion Our data support the notion of cyclin B1 being essential for survival and proliferation of gynecological cancer cells. Concordantly, knockdown of cyclin B1 inhibits proliferation in vitro as well as in vivo. Moreover, targeting cyclin B1 sensitizes breast cancer cells to taxol, suggesting that specific cyclin B1 targeting is an attractive strategy for the combination with conventionally used agents in gynecological cancer therapy

Illustration of microphysical processes in Amazonian deep convective clouds in the gamma phase space: introduction and potential applications

The behavior of tropical clouds remains a major open scientific question, resulting in poor representation by models. One challenge is to realistically reproduce cloud droplet size distributions (DSDs) and their evolution over time and space. Many applications, not limited to models, use the gamma function to represent DSDs. However, even though the statistical characteristics of the gamma parameters have been widely studied, there is almost no study dedicated to understanding the phase space of this function and the associated physics. This phase space can be defined by the three parameters that define the DSD intercept, shape, and curvature. Gamma phase space may provide a common framework for parameterizations and intercomparisons. Here, we introduce the phase space approach and its characteristics, focusing on warm-phase microphysical cloud properties and the transition to the mixed-phase layer. We show that trajectories in this phase space can represent DSD evolution and can be related to growth processes. Condensational and collisional growth may be interpreted as pseudo-forces that induce displacements in opposite directions within the phase space. The actually observed movements in the phase space are a result of the combination of such pseudo-forces. Additionally, aerosol effects can be evaluated given their significant impact on DSDs. The DSDs associated with liquid droplets that favor cloud glaciation can be delimited in the phase space, which can help models to adequately predict the transition to the mixed phase. We also consider possible ways to constrain the DSD in two-moment bulk microphysics schemes, in which the relative dispersion parameter of the DSD can play a significant role. Overall, the gamma phase space approach can be an invaluable tool for studying cloud microphysical evolution and can be readily applied in many scenarios that rely on gamma DSDs