217 research outputs found

    Simulated and observed horizontal inhomogeneities of optical thickness of Arctic stratus

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    Two-dimensional horizontal fields of cloud optical thickness τ derived from airborne measurements of solar spectral, cloud-reflected radiance are compared with semi-idealized large eddy simulations (LESs) of Arctic stratus performed with the Consortium for Small-scale Modeling (COSMO) atmospheric model. The measurements were collected during the Vertical Distribution of Ice in Arctic Clouds (VERDI) campaign carried out in Inuvik, Canada, in April/May 2012. The input for the LESs is obtained from collocated airborne dropsonde observations of a persistent Arctic stratus above the sea-ice-free Beaufort Sea. Simulations are performed for spatial resolutions of 50m (1.6km × 1.6km domain) and 100m (6.4km × 6.4km domain). Macrophysical cloud properties, such as cloud top altitude and vertical extent, are well captured by the COSMO simulations. However, COSMO produces rather homogeneous clouds compared to the measurements, in particular for the simulations with coarser spatial resolution. For both spatial resolutions, the directional structure of the cloud inhomogeneity is well represented by the model. Differences between the individual cases are mainly associated with the wind shear near cloud top and the vertical structure of the atmospheric boundary layer. A sensitivity study changing the wind velocity in COSMO by a vertically constant scaling factor shows that the directional, small-scale cloud inhomogeneity structures can range from 250 to 800m, depending on the mean wind speed, if the simulated domain is large enough to capture also large-scale structures, which then influence the small-scale structures. For those cases, a threshold wind velocity is identified, which determines when the cloud inhomogeneity stops increasing with increasing wind velocity

    Steric exclusion chromatography for the purification of recombinant baculovirus

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    Steric exclusion chromatography (SXC) has already proven to be a valuable tool in the purification of proteins and virus particles. An important benefit of the method is the fast and simple procedure at mild chromatography conditions as no harsh binding and elution buffers are needed. The sample is initially mixed with a polyethylene glycol (PEG) containing buffer of choice. The steric exclusion of a macromolecule from the polyethylene glycol and the stationary phase allows a selective retention of the product, depending, among others, mainly on its size as well as on the molecular weight and concentration of the PEG. Here, SXC was set up in order that smaller process contaminants, i.e. host cell proteins and DNA, did not bind to the stationary phase, in contrast to the targeted larger virus particles. These were subsequently eluted reducing the PEG concentration in the mobile phase. Regenerated cellulose was used as stationary phase to purify VSV-G pseudotyped AcMNPV baculoviruses derived from Spodoptera frugiperda cells (Sf9 cells) by SXC. The purified virus particles are used as gene transfer tools for human mesenchymal stroma cells. For this purpose, the baculovirus was clarified prior to the SXC by sequential centrifugation (4700 gmax). The SXC conditions were optimized in terms of yield and purity by a design of experiment approach considering the PEG molecular weight, its concentration and the ionic strength of the elution buffer as critical process parameters. Within the design space virus recovery was ≥70%. Without further nuclease treatment the depletion of double-stranded DNA was \u3e90% and the amount of host cell proteins were reduced \u3e90% in the virus fraction. In conclusion, SXC can drastically reduce the process development in terms of time and equipment requirements for the purification of recombinant baculoviruses, as well as for the achieved purity which is superior over classical methods

    Intercellular Friction and Motility Drive Orientational Order in Cell Monolayers

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    Spatiotemporal patterns in multicellular systems are important to understanding tissue dynamics, for instance, during embryonic development and disease. Here, we use a multiphase field model to study numerically the behavior of a near-confluent monolayer of deformable cells with intercellular friction. Varying friction and cell motility drives a solid-liquid transition, and near the transition boundary, we find the emergence of nematic order of cell deformation driven by shear-aligning cellular flows. Intercellular friction endows the monolayer with a finite viscosity, which significantly increases the spatial correlation in the flow and, concomitantly, the extent of nematic order. We also show that hexatic and nematic order are tightly coupled and propose a mechanical-geometric model for the colocalization of +1/2 nematic defects and 5-7 disclination pairs, which are the structural defects in the hexatic phase. Such topological defects coincide with regions of high cell-cell overlap, suggesting that they may mediate cellular extrusion from the monolayer, as found experimentally. Our results delineate a mechanical basis for the recent observation of nematic and hexatic order in multicellular collectives in experiments and simulations and pinpoint a generic pathway to couple topological and physical effects in these systems

    Acute type A aortic dissection and pregnancy: a population-based study

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    Objective: Pregnancy has been reported to be an independent risk factor for 50% of acute aortic dissections recorded in women younger than 45 years of age. The present epidemiologic study aimed to identify whether this putative association of pregnancy and acute type A dissection could be an artifact of selective reporting. Methods: This population-based study was conducted in the City of Vienna, Austria, Europe, in an average female population of 341381 women in the age range of 15-45 years who were followed up between 1994 and 2004 (total of 3755.195 person-years of observation). During this study, the incidence, management, and outcome of acute type A dissection were determined. Results: Fifteen patients (mean age: 38.8 years, SD: 4.8) with acute aortic dissection were identified, and an overall incidence of 0.4 case per 100000 person-years was estimated. The prehospital mortality rate was recorded to be 53%. Six patients, including two women in late pregnancy (incidence: 0.05 cases per 100000 person-years), were treated successfully by surgical repair during deep hypothermic circulatory arrest (in-hospital mortality rate: 6.6%). Pregnancy and aortic dissection were identified as events that were not related (RR: 3.27; 95% confidence interval (CI): 0.82-12.95; P=0.14). Observation during long-term follow-up was uneventful. Conclusions: Acute aortic dissection represents a rare pathology in women younger than 45 years of age; however, it is associated with a high rate of sudden death. Pregnancy may not be a risk factor for this life-threatening vascular emergency. Immediate referral to surgery, even during pregnancy, will result in a prognosis of favorable outcom

    Granulation of snow: From tumbler experiments to discrete element simulations

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    It is well known that snow avalanches exhibit granulation phenomena, i.e., the formation of large and apparently stable snow granules during the flow. The size distribution of the granules has an influence on flow behavior which, in turn, affects runout distances and avalanche velocities. The underlying mechanisms of granule formation are notoriously difficult to investigate within large-scale field experiments, due to limitations in the scope for measuring temperatures, velocities, and size distributions. To address this issue we present experiments with a concrete tumbler, which provide an appropriate means to investigate granule formation of snow. In a set of experiments at constant rotation velocity with varying temperatures and water content, we demonstrate that temperature has a major impact on the formation of granules. The experiments showed that granules only formed when the snow temperature exceeded -1(degrees)C. No evolution in the granule size was observed at colder temperatures. Depending on the conditions, different granulation regimes are obtained, which are qualitatively classified according to their persistence and size distribution. The potential of granulation of snow in a tumbler is further demonstrated by showing that generic features of the experiments can be reproduced by cohesive discrete element simulations. The proposed discrete element model mimics the competition between cohesive forces, which promote aggregation, and impact forces, which induce fragmentation, and supports the interpretation of the granule regime classification obtained from the tumbler experiments. Generalizations, implications for flow dynamics, and experimental and model limitations as well as suggestions for future work are discussed

    SuLMaSS - Sustainable Lifecycle Management for Scientific Software

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    The SuLMaSS project [1] will advance, develop, build, evaluate, and test infrastructure for sustainable lifecycle management of scientific software. The infrastructure is tested and evaluated by an existing cardiac electrophysiology simulation software project, which is currently in the prototype state and will be advanced towards optimal usability and a large and active user community. Thus, SuLMaSS is focused on designing and implementing application-oriented e-research technologies and the impact is three-fold: - Provision of a high quality, user-friendly cardiac electrophysiology simulation software package that accommodates attestable needs of the scientific community. - Delivery of infrastructure components for testing, safe-keeping, referencing, and versioning of all phases of the lifecycle of scientific software. - Serve as a best practice example for sustainable scientific software management. Scientific software development in Germany and beyond shall benefit through both the aforementioned best practice role model and the advanced infrastructure that will, in part, be available for external projects as well. With adding value for the wider scientific cardiac electrophysiology community, the software will be available under an open source license and be provided for a large share of people and research groups that can potentially leverage computational cardiac modeling methods. Institutional infrastructure will be extended to explore, evaluate and establish the basis for research software development regarding testing, usage, maintenance and support. The cardiac electrophysiology simulator will drive and showcase the infrastructure formation, thus serving as a lighthouse project. The developed infrastructure can be used by other scientific software projects in future and aims to support the full research lifecycle from exploration through conclusive analysis and publication, to archival, and sharing of data and source code, thus increasing the quality of research results. Moreover it will foster a community-based collaborative development and improve sustainability of research software. References: [1]­‌‌‌‌‌‌‌‌‌ http://www.dfg.de/dfg_magazin/aus_der_wissenschaft/impulse_fuer_das_digitale_lis_jb17/02_aus_der_foerderung/index.htm

    Prognostic value of baseline imaging and clinical features in patients with advanced hepatocellular carcinoma

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    AIMS To investigate the prognostic value of baseline imaging features for overall survival (OS) and liver decompensation (LD) in patients with hepatocellular carcinoma (HCC). DESIGN Patients with advanced HCC from the SORAMIC trial were evaluated in this post hoc analysis. Several radiological imaging features were collected from baseline computed tomography (CT) and magnetic resonance imaging (MRI) imaging, besides clinical values. The prognostic value of these features for OS and LD (grade 2 bilirubin increase) was quantified with univariate Cox proportional hazard models and multivariate Least Absolute Shrinkage and Selection Operator (LASSO) regression. RESULTS Three hundred and seventy-six patients were included in this study. The treatment arm was not correlated with OS. LASSO showed satellite lesions, atypical HCC, peritumoral arterial enhancement, larger tumour size, higher albumin-bilirubin (ALBI) score, liver-spleen ratio <1.5, ascites, pleural effusion and higher bilirubin values were predictors of worse OS, and higher relative liver enhancement, smooth margin and capsule were associated with better OS. LASSO analysis for LD showed satellite lesions, peritumoral hypointensity in hepatobiliary phase, high ALBI score, higher bilirubin values and ascites were predictors of LD, while randomisation to sorafenib arm was associated with lower LD. CONCLUSIONS Imaging features showing aggressive tumour biology and poor liver function, in addition to clinical parameters, can serve as imaging biomarkers for OS and LD in patients receiving sorafenib and selective internal radiation therapy for HCC

    Evidence for Dose-Additive Effects of Pyrethroids on Motor Activity in Rats

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    BACKGROUND: Pyrethroids are neurotoxic insecticides used in a variety of indoor and outdoor applications. Previous research characterized the acute dose-effect functions for 11 pyrethroids administered orally in corn oil (1 mL/kg) based on assessment of motor activity. OBJECTIVES: We used a mixture of these 11 pyrethroids and the same testing paradigm used in single-compound assays to test the hypothesis that cumulative neurotoxic effects of pyrethroid mixtures can be predicted using the default dose-addition theory. METHODS: Mixing ratios of the 11 pyrethroids in the tested mixture were based on the ED30 (effective dose that produces a 30% decrease in response) of the individual chemical (i.e., the mixture comprised equipotent amounts of each pyrethroid). The highest concentration of each individual chemical in the mixture was less than the threshold for inducing behavioral effects. Adult male rats received acute oral exposure to corn oil (control) or dilutions of the stock mixture solution. The mixture of 11 pyrethroids was administered either simultaneously (2 hr before testing) or after a sequence based on times of peak effect for the individual chemicals (4, 2, and 1 hr before testing). A threshold additivity model was fit to the single-chemical data to predict the theoretical dose-effect relationship for the mixture under the assumption of dose additivity. RESULTS: When subthreshold doses of individual chemicals were combined in the mixtures, we found significant dose-related decreases in motor activity. Further, we found no departure from the predicted dose-additive curve regardless of the mixture dosing protocol used. CONCLUSION: In this article we present the first in vivo evidence on pyrethroid cumulative effects supporting the default assumption of dose addition.Fil: Wolansky, Marcelo Javier. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de QuĂ­mica BiolĂłgica; ArgentinaFil: Gennings, Chris. Solveritas; Estados UnidosFil: DeVito, Michael J.. U.S. Environmental Protection Agency; Estados UnidosFil: Crofton, Kevin M.. U.S. Environmental Protection Agency; Estados Unido
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