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Sökning: WFRF:(Gankin Dennis)

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1.
  • Danko, David, et al. (författare)
  • A global metagenomic map of urban microbiomes and antimicrobial resistance
  • 2021
  • Ingår i: Cell. - : Elsevier BV. - 0092-8674 .- 1097-4172. ; 184:13, s. 3376-3393
  • Tidskriftsartikel (refereegranskat)abstract
    • We present a global atlas of 4,728 metagenomic samples from mass-transit systems in 60 cities over 3 years, representing the first systematic, worldwide catalog of the urban microbial ecosystem. This atlas provides an annotated, geospatial profile of microbial strains, functional characteristics, antimicrobial resistance (AMR) markers, and genetic elements, including 10,928 viruses, 1,302 bacteria, 2 archaea, and 838,532 CRISPR arrays not found in reference databases. We identified 4,246 known species of urban microorganisms and a consistent set of 31 species found in 97% of samples that were distinct from human commensal organisms. Profiles of AMR genes varied widely in type and density across cities. Cities showed distinct microbial taxonomic signatures that were driven by climate and geographic differences. These results constitute a high-resolution global metagenomic atlas that enables discovery of organisms and genes, highlights potential public health and forensic applications, and provides a culture-independent view of AMR burden in cities.
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2.
  • Mayer, Sebastian, et al. (författare)
  • Adaptive Production Control with Negotiating Agents in Modular Assembly Systems
  • 2019
  • Ingår i: Proceedings 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019. - : IEEE. - 9781728145693 ; , s. 120-127
  • Konferensbidrag (refereegranskat)abstract
    • An increasing number of product variants caused by individualization drives industry to develop flexible modular assembly systems. In such systems, automated guided vehicles handle the material transport between decoupled workstations. This enables jobs to be flexibly routed through production, utilizing order and operation flexibility. Order flexibility denotes a partially flexible order of a job's operations, whereas operation flexibility is given, if at least one operation of a job is allocatable to more than one workstation. Managing the given flexibility and coordinating the automated guided vehicles in real production environments requires robust control algorithms. Exploiting the potential of Industry 4.0, this work presents a negotiation-based agent approach by decentralizing the problem: A job release agent defines the points in time and the product types of released jobs. Job routing agents negotiate with workstation agents to schedule their operations by minimizing makespan. Finally, a vehicle agent organizes the transports from workstation to workstation. The agent system has been successfully evaluated and achieved better results than earlier implementations.
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