37 research outputs found

    Measurement of the charge asymmetry in top-quark pair production in the lepton-plus-jets final state in pp collision data at s=8TeV\sqrt{s}=8\,\mathrm TeV{} with the ATLAS detector

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    Search for single production of vector-like quarks decaying into Wb in pp collisions at s=8\sqrt{s} = 8 TeV with the ATLAS detector

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    ATLAS Run 1 searches for direct pair production of third-generation squarks at the Large Hadron Collider

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    Leipziger Geschlechter

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    LEIPZIGER GESCHLECHTER Leipziger Geschlechter (-) Leipziger Geschlechter ([Bd. 1]) ( - ) Einband ( - ) Titelseite ( - ) Übersicht zur Schriftenreihe ( - ) Inhalt ( - ) Verzeichnis der Beilagen und Bilder ( - ) I. Stamm- und Ahnentafeln Meiner ( - ) Porträts zur Ahnentafel Meiner ( - ) Titelblatt und Widmungsseite der 1. Jahrmarktspredigt ... (14) II. Stammtafel Klengel (29) III. Stamm- und Ahnentafeln Meyer (33) Siegeltafel zur Ahnentafel Meyer (35) Geburtshaus Joseph Meyers in Gotha (39) IV. Nachfahrentafeln Braune-Schulze (49) 1. Braun-Schulzescher Familientag ( - ) V. Stammtafel Friederici, Ahnentafel Hiersemann (55) Ahnentafel Michel und Karl Klaus Hiersemann in Bildern ( - ) VI. Stamm- und Nachfahrentafeln Schlobach (73) Ahnentafel in Bildern für Jutta, Hans und Josefa Schlobach ( - ) VII. Nachfahrentafeln Frege (89) Wappentafel Frege (105) Porträt Christian Gottlob Frege (124) Übersichtstafel z. Nachfahrentafel Frege ( - ) VIII. Stamm- und Ahnentafeln Sack (137) IX. Stammtafeln Wünschmann (153) X. Ahnentafel der Geschwister Thorer (169) Ahnentafel Thorer in Bildern ( - ) XI. Stamm- und Ahnentafeln Liebeskind (205) Die Fockestraße in Leipzig (209) Das Schlagsche Gut in Pödelist (213) Paßkarte von August Gottlob Liebeskind (222) Titel eines auf Seide gedruckten Hochzeitsgedichtes (227) Wappen zur Ahnentafel Liebeskind ( - ) Der Flügel von Clara Schumann (236) Bildtafel zur Ahnentafel Liebeskind ( - ) XII. Stammtafel Stoll (237) Wappen Stoll (239) Nachträge und Berichtigungen (245) Verzeichnis der vorkommenden Familiennamen (246

    Demystifying the Performance of XDP BPF

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    Demystifying the Performance of XDP BPF

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    STEAN: A storage and transformation engine for advanced networking context

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    Legacy Internet systems and protocols are mostly static and keep state information in silo-style storage, thus making state migration, transformation and re-use difficult. Software Defined Networking (SDN) approaches in unison with Network Functions Virtualization (NFV) allow for more flexibility, yet they are currently restricted to a limited set of state migration options. Impeding the sharing of networking and system state severely limits the ability to optimally manage resources and dynamically adapt to a desirable overall configuration. We propose a generalized way to collect, store, transform, and share context between NFs in both the legacy Internet and NFV/SDN-driven systems. To this end, we design and implement a Storage and Transformation Engine for Advanced Networking Context (STEAN), which constitutes a shared context storage, making network state information available to other systems and protocols. Its pivotal feature is the ability to allow for state transformation as well as for persisting state to enable future re-use. By means of experimentation, we show that STEAN covers a diverse set of challenging use cases in legacy systems as well as in NFV/SDN-enabled systems

    Fingolimod induces neuroprotective factors in human astrocytes.

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    Background Fingolimod (FTY720) is the first sphingosine-1-phosphate (S1P) receptor modulator approved for the treatment of multiple sclerosis. The phosphorylated active metabolite FTY720-phosphate (FTY-P) interferes with lymphocyte trafficking. In addition, it accumulates in the CNS and reduces brain atrophy in multiple sclerosis (MS), and neuroprotective effects are hypothesized. Methods Human primary astrocytes as well as human astrocytoma cells were stimulated with FTY-P or S1P. We analyzed gene expression by a genome-wide microarray and validated induced candidate genes by quantitative PCR (qPCR) and ELISA. To identify the S1P-receptor subtypes involved, we applied a membrane-impermeable S1P analog (dihydro-S1P), receptor subtype specific agonists and antagonists, as well as RNAi silencing. Results FTY-P induced leukemia inhibitory factor (LIF), interleukin 11 (IL11), and heparin-binding EGF-like growth factor (HBEGF) mRNA, as well as secretion of LIF and IL11 protein. In order to mimic an inflammatory milieu as observed in active MS lesions, we combined FTY-P application with tumor necrosis factor (TNF). In the presence of this key inflammatory cytokine, FTY-P synergistically induced LIF, HBEGF, and IL11 mRNA, as well as secretion of LIF and IL11 protein. TNF itself induced inflammatory, B-cell promoting, and antiviral factors (CXCL10, BAFF, MX1, and OAS2). Their induction was blocked by FTY-P. After continuous exposure of cells to FTY-P or S1P for up to 7 days, the extent of induction of neurotrophic factors and the suppression of TNF-induced inflammatory genes declined but was still detectable. The induction of neurotrophic factors was mediated via surface S1P receptors 1 (S1PR1) and 3 (S1PR3). Conclusions We identified effects of FTY-P on astrocytes, namely induction of neurotrophic mediators (LIF, HBEGF, and IL11) and inhibition of TNF-induced inflammatory genes (CXCL10, BAFF, MX1, and OAS2). This supports the view that a part of the effects of fingolimod may be mediated via astrocytes

    SymPerf: Predicting Network Function Performance

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    The softwarization of networks provides a new degree of flexibil- ity in network operation but its software components can result in unexpected runtime performance and erratic network behav- ior. This challenges the deployment of flexible software functions in performance critical (core) networks. To address this challenge, we present a methodology enabling the prediction of runtime performance and testing of functional behavior of Network Functions. Unlike traditional performance evaluation, e.g., testbed testing or simulation, our methodology can characterize the Network Func- tion performance for any possible workload only by code analysis
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