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Luminosity determination within the ALICE experiment is based on the measurement, in van der Meer scans, of the cross sections for visible processes involving one or more detectors (visible cross sections). In 2015 and 2018, the Large Hadron Collider provided Pb−Pb collisions at a centre-of-mass energy per nucleon pair of sNN−−−√=5.02 TeV. Two visible cross sections, associated with particle detection in the Zero Degree Calorimeter (ZDC) and in the V0 detector, were measured in a van der Meer scan. This article describes the experimental set-up and the analysis procedure, and presents the measurement results. The analysis involves a comprehensive study of beam-related effects and an improved fitting procedure, compared to previous ALICE studies, for the extraction of the visible cross section. The resulting uncertainty of both the ZDC-based and the V0-based luminosity measurement for the full sample is 2.5%. The inelastic cross section for hadronic interactions in Pb−Pb collisions at sNN−−−√=5.02 TeV, obtained by efficiency correction of the V0-based visible cross section, was measured to be 7.67±0.25 b, in agreement with predictions using the Glauber model.
Die Datenbank wird auf den Ergebnissen der Analyse einschlägiger umfangreicher Korpora des gesprochenen Deutsch basieren. Um jedoch große Korpora analysieren zu können, ist es notwendig, automatische Analyseverfahren der Variation zu entwickeln. Mit traditionellen manuellen Methoden kann der Aufbau einer korpusbasierten Datenbank kaum verwirklicht werden. Dem eigentlichen Variationsprojekt wurde daher eine kleine Pilotstudie vorgeschaltet, die die Möglichkeiten der automatischen Analyse prüfen sollte. Dabei wurde der Frage nachgegangen, ob es möglich ist, regionale Varianten des Deutschen mit Verfahren der automatischen Spracherkennung zu untersuchen, d.h., ob es möglich ist, eine verlässliche Transkription der regionalen Varianten automatisch herzustellen. Diese Pilotstudie zur automatischen Transkription stützte sich auf das im IDS bereits vorhandene System SPRAT (Speech Recognition and Alignment Tool), das zum Alignieren (Text-Ton-Synchronisation) verwendet wird. Im Rahmen der Pilotstudie wurde dieses System modifiziert und in einer Reihe von Tests dessen automatische Transkription evaluiert (vgl. Abschnitt 3). Das Ziel des vorliegenden Beitrags ist es, die Ergebnisse dieser Pilotstudie vorzustellen. Zunächst aber soll ein kurzer Exkurs verdeutlichen, um welches System es sich beim IDS-Aligner SPRAT handelt.
The hydrothermal vent tubeworm Riftia pachyptila hosts a single 16S rRNA phylotype of intracellular sulfur-oxidizing symbionts, which vary considerably in cell morphology and exhibit a remarkable degree of physiological diversity and redundancy, even in the same host. To elucidate whether multiple metabolic routes are employed in the same cells or rather in distinct symbiont subpopulations, we enriched symbionts according to cell size by density gradient centrifugation. Metaproteomic analysis, microscopy, and flow cytometry strongly suggest that Riftia symbiont cells of different sizes represent metabolically dissimilar stages of a physiological differentiation process: While small symbionts actively divide and may establish cellular symbiont-host interaction, large symbionts apparently do not divide, but still replicate DNA, leading to DNA endoreduplication. Moreover, in large symbionts, carbon fixation and biomass production seem to be metabolic priorities. We propose that this division of labor between smaller and larger symbionts benefits the productivity of the symbiosis as a whole.
Metabolic differences between symbiont subpopulations in the deep-sea tubeworm Riftia pachyptila
(2020)
The hydrothermal vent tube worm Riftia pachyptila lives in intimate symbiosis with intracellular sulfur-oxidizing gammaproteobacteria. Although the symbiont population consists of a single 16S rRNA phylotype, bacteria in the same host animal exhibit a remarkable degree of metabolic diversity: They simultaneously utilize two carbon fixation pathways and various energy sources and electron acceptors. Whether these multiple metabolic routes are employed in the same symbiont cells, or rather in distinct symbiont subpopulations, was unclear. As Riftia symbionts vary considerably in cell size and shape, we enriched individual symbiont cell sizes by density gradient centrifugation in order to test whether symbiont cells of different sizes show different metabolic profiles. Metaproteomic analysis and statistical evaluation using clustering and random forests, supported by microscopy and flow cytometry, strongly suggest that Riftia symbiont cells of different sizes represent metabolically dissimilar stages of a physiological differentiation process: Small symbionts actively divide and may establish cellular symbiont-host interaction, as indicated by highest abundance of the cell division key protein FtsZ and highly abundant chaperones and porins in this initial phase. Large symbionts, on the other hand, apparently do not divide, but still replicate DNA, leading to DNA endoreduplication. Highest abundance of enzymes for CO2 fixation, carbon storage and biosynthesis in large symbionts indicates that in this late differentiation stage the symbiont’s metabolism is efficiently geared towards the production of organic material. We propose that this division of labor between smaller and larger symbionts benefits the productivity of the symbiosis as a whole.