3,351 research outputs found

    wer soll die Steuern bezahlen? ; Die Armen oder die Reichen? ; Eine Rede

    Get PDF
    Digitalisat der Ausgabe von 1926, erschienen 201

    Iron single crystal growth from a lithium-rich melt

    Get PDF
    \alpha-Fe single crystals of rhombic dodecahedral habit were grown from a melt of Li84_{84}N12_{12}Fe3_{\sim 3}. Crystals of several millimeter along a side form at temperatures around T800T \approx 800^\circC. Upon further cooling the growth competes with the formation of Fe-doped Li3_3N. The b.c.c. structure and good sample quality of \alpha-Fe single crystals were confirmed by X-ray and electron diffraction as well as magnetization measurements and chemical analysis. A nitrogen concentration of 90\,ppm was detected by means of carrier gas hot extraction. Scanning electron microscopy did not reveal any sign of iron nitride precipitates.Comment: 13 pages, 4 figure

    Today?s German Universities and dynamic education webs: does it fit?

    Full text link
    Contemporary lifelong learning (L3) concepts require permeability between higher and further education. Today, human resources development is a critical success factor in a global environment. Shorter innovation cycles and the challenges of the service economy imply the alignment of further education concepts to the employees? working situation. Standardized content offers are no longer sufficient to meet the needs of both learners and companies. Public and private education providers have to collaborate to meet the customers? learning needs. Providers can and should establish dynamic business webs – so- called dynamic education webs – in this collaborative process. These partnerships are temporary in nature and are based mainly on incentives instead of contracts. We will focus on this new phenomenon and present research results with high practical relevance. The core questions arise: What promotes dynamic education webs? Who are the key players? What are critical success factors? These questions are answered based on literature, market studies and expert questionings of important market players. The recommendations derived can help the management to participate successfully in dynamic education webs. A glance at trends and market potentials as stated by the experts concludes the paper.Die Herausforderungen an zeitgemäße Weiter- und Fortbildungskonzepte erfordern im Kontext des lebenslangen Lernens die Durchlässigkeit zwischen akademischer Erstausbildung, berufsbegleitender Weiter- und Fortbildung sowie akademischer Zusatzqualifikation. Aus Sicht der Unternehmen auf die Weiter- und Fortbildung der Mitarbeiter ist diese ein kritischer Erfolgsfaktor in einem globalisierten Wettbewerbsumfeld. Kürzere Innovationszyklen und die Herausforderung der Dienstleistungsgesellschaft erfordern arbeitsplatznahe Weiterbildungskonzepte. Standardisierte Lerninhalte sind dabei oft nicht länger ausreichend, um den von den Unternehmen formulierten Weiterbildungsbedarf ihrer Mitarbeiter zu bedienen. Öffentliche und private Weiter- und Fortbildungsanbieter gehen immer häufiger Kooperationen ein, um diese individualisierten Weiterbildungsbedarfe ihrer Kunden erfüllen zu können. Dynamische kundenorientierte Wertschöpfungsnetzwerke in der Weiter- und Fortbildung entstehen. Dabei handelt es sich um temporäre anreizbasierte Kooperationen ohne langfristig bindende vertragliche Vertragswerke. Der Aufsatz beschäftigt sich mit diesem neuen Phänomen und beantwortet die folgenden Kernfragen: Was begünstigt dynamische kundenorientierte Wertschöpfungsnetzwerke in der Weiter- und Fortbildung? Wer sind zentrale Akteure? Was sind kritische Erfolgsfaktoren? Die Erkenntnisse basieren auf einer Literaturrecherche, Marktstudie sowie einer Expertenbefragung ausgewählter Marktteilnehmer. Daraus werden praxisorientierte Handlungsempfehlungen sowie ein Ausblick auf Trends und Potentiale für Anbieter in dynamischen kundenorientierten Wertschöpfungsnetzwerken abgeleitet

    Fast TPC Online Tracking on GPUs and Asynchronous Data Processing in the ALICE HLT to facilitate Online Calibration

    Full text link
    ALICE (A Large Heavy Ion Experiment) is one of the four major experiments at the Large Hadron Collider (LHC) at CERN, which is today the most powerful particle accelerator worldwide. The High Level Trigger (HLT) is an online compute farm of about 200 nodes, which reconstructs events measured by the ALICE detector in real-time. The HLT uses a custom online data-transport framework to distribute data and workload among the compute nodes. ALICE employs several calibration-sensitive subdetectors, e.g. the TPC (Time Projection Chamber). For a precise reconstruction, the HLT has to perform the calibration online. Online-calibration can make certain Offline calibration steps obsolete and can thus speed up Offline analysis. Looking forward to ALICE Run III starting in 2020, online calibration becomes a necessity. The main detector used for track reconstruction is the TPC. Reconstructing the trajectories in the TPC is the most compute-intense step during event reconstruction. Therefore, a fast tracking implementation is of great importance. Reconstructed TPC tracks build the basis for the calibration making a fast online-tracking mandatory. We present several components developed for the ALICE High Level Trigger to perform fast event reconstruction and to provide features required for online calibration. As first topic, we present our TPC tracker, which employs GPUs to speed up the processing, and which bases on a Cellular Automaton and on the Kalman filter. Our TPC tracking algorithm has been successfully used in 2011 and 2012 in the lead-lead and the proton-lead runs. We have improved it to leverage features of newer GPUs and we have ported it to support OpenCL, CUDA, and CPUs with a single common source code. This makes us vendor independent. As second topic, we present framework extensions required for online calibration. ...Comment: 8 pages, 6 figures, contribution to CHEP 2015 conferenc
    corecore