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Der vorliegende 6. Band dieser Reihe hat die Gemeinde Oberhohenelbe zum Inhalt. Die 1939 knapp 2.300 Einwohner zählende Industriesiedlung Oberhohenelbe, in deren Fabriken einst viele Männer und Frauen des Ortes und der umliegenden Gemeinden Arbeit und Brot fanden, ist heute der Stadt Hohenelbe/Vrchlabí eingemeindet – der Name existiert auf den neueren Karten nicht mehr. Umso erfreulicher ist es, daß nunmehr eine breitangelegte und bildlich gut ausgestattete Dokumentation vorliegt, die dem Hauptautor - dem Kulturreferenten des Heimatkreises - und allen Mitarbeitern besondere Ehre macht. [... aus dem Geleitwort]

Coordination for truck platooning refers to the active formation of a group of heavy-duty vehicles traveling at close spacing to reduce the overall truck operations costs. Conventionally, this coordination is achieved by optimizing various truck-related parameters, such as schedules, velocities, and routes, based on an objective function that minimizes a certain cost, for example, fuel usage. However, prevalent algorithms for the coordination problem are typically integer-constrained, which are not only hard to solve but are not readily scalable to increasing fleet sizes and networks. In this paper, to overcome these limitations, we propose a centralized formulation to optimize the truck parameters and solve a multidimensional objective cost function including fuel, operation time costs and preferential penalty. Furthermore, to improve the scalability of our proposed approach, we propose a decentralized algorithm for the platoon coordination problem involving multiple fleets and objectives.We perform both theoretical and numerical studies to evaluate the performance of our decentralized algorithm against the centralized solution. Our analysis indicates that the computation time of the proposed decentralized algorithms is invariant to the increasing fleet size, at the cost of a small relative gap to the optimum cost given by the centralized method.We discuss these results and present future directions for research.

Studying collaboration in music is a prominent area of research in fields such as cultural studies, history, and musicology. For scholars interested in studying collaboration, network analysis has proven to be a viable methodological approach. Yet, a challenge is that heterogeneous data makes it difficult to study collaboration networks across music genres, which means that there are almost only studies on individual genres. To solve this problem, we propose a generalizable approach to studying the topological properties of music collaboration networks within and between genres that relies on data from the freely available Discogs database. To illustrate the approach, we provide a comparison of the genres Jazz and Hip Hop.

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Ausgabe 3 der Online-Zeitschrift Textdynamiken

İlker Evrim Binbaşs Studie Intellectual networks in Timurid Iran: Sharaf al-Dīn ʿAlī Yazdī and the Islamicate Republic of Letters behandelt das Leben und Wirken des weithin als einer der bedeutendsten Historiker der ersten Jahrzehnte timuridischer Herrschaft in Iran bekannten Šaraf ad-Dīn ʿAlī Yazdī (um 770 oder 780–858/1370 oder 1380–1454, Taft oder Yazd in Zentraliran).

Sleep is a universal state of behavioral quiescence in both vertebrates and invertebrates that is controlled by conserved genes. We previously found that AP2 transcription factors control sleep in C. elegans, Drosophila, and mice. Heterozygous deletion of Tfap2b, one of the mammalian AP2 paralogs, reduces sleep in mice. The cell types and mechanisms through which Tfap2b controls sleep in mammals are, however, not known. In mice, Tfap2b acts during early embryonic stages. In this study, we used RNA-seq to measure the gene expression changes in brains of Tfap2b−/− embryos. Our results indicated that genes related to brain development and patterning were differentially regulated. As many sleep-promoting neurons are known to be GABAergic, we measured the expression of GAD1, GAD2 and Vgat genes in different brain areas of adult Tfap2b+/− mice using qPCR. These experiments suggested that GABAergic genes are downregulated in the cortex, brainstem and cerebellum areas, but upregulated in the striatum. To investigate whether Tfap2b controls sleep through GABAergic neurons, we specifically deleted Tfap2b in GABAergic neurons. We recorded the EEG and EMG before and after a 6-h period of sleep deprivation and extracted the time spent in NREM and in REM sleep as well as delta and theta power to assess NREM and REM sleep, respectively. During baseline conditions, Vgat-tfap2b−/− mice exhibited both shortened NREM and REM sleep time and reduced delta and theta power. Consistently, weaker delta and theta power were observed during rebound sleep in the Vgat-tfap2b−/− mice after sleep deprivation. Taken together, the results indicate that Tfap2b in GABAergic neurons is required for normal sleep.