human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "routing of physarum polycephalum signals using simple chemicals"
  Abstract: In previous work the chemotaxis towards simple organic chemicals was assessed. We utilise the knowledge gained from these chemotactic assays to route Physarum polycephalum at a series of junctions. By applying chemical inputs at a simple T-junction we were able to reproducibly control the path taken by the plasmodium of P. Polycephalum. Where the chemoattractant farnesene was used at one input a routed signal could be reproducibly generated i.e. P. Polycephalum moves towards the source of chemoattractant. Where the chemoattractant was applied at both inputs the signal was reproducibly split. If a chemorepellent was used then the signal was reproducibly suppressed. If no chemical input was used in the simple circuit then a random signal was generated, whereby P. Polycephalum would move towards one output at the junction, but the direction was randomly selected. We extended this study to a more complex series of T-junctions to explore further the potential of routing P. Polycephalum. Although many of the circuits were completed effectively, any errors from the implementation of the simple T-junction were magnified. There were also issues with cascading effects through multiple junctions. For example signal splitting could be reproducibly initiated at the first junction but not at subsequent junctions. This work highlights the potential for exploiting chemotaxis to achieve complex and reliable routing of P. Polycephalum signals. This may be useful in implementing computing algorithms, design of autonomous robots and directed material synthesis. In additional experiments we showed that the application of chemoattractant compounds at specific locations on a homogeneous substrate could be used to reliably control the spatial configuration of P. Polycephalum. This may have applications in implementing geometric calculations and in robot navigation tasks such as mapping chemical plumes.

Connected through hyperedge HE-1 (induced by source paper "practical circuits with physarum wires"):
  with members:
    - "quantitative transformation for implementation of adder circuits in physical systems"
    - "physarum chip developments in growing computers from slime mould"
    - "sensory fusion in physarum polycephalum and implementing multi sensory functional computation"
    - "slime mould logic gates based on frequency changes of electrical potential oscillation"
    - "slime mould electronic oscillators"
    - "towards plant wires"
    - "towards slime mould chemical sensor mapping chemical inputs onto electrical potential dynamics of physarum polycephalum"
    - "slime mould tactile sensor"

Connected through hyperedge HE-2 (induced by source paper "living wires effects of size and coating of gold nanoparticles in altering the electrical properties of physarum polycephalum and lettuce seedlings"):
  with members:
    - "slime mould memristors"
    - "towards plant wires"
    - "towards slime mould colour sensor recognition of colours by physarum polycephalum"
    - "on the internalisation intraplasmodial carriage and excretion of metallic nanoparticles in the slime mould physarum polycephalum"
    - "towards physarum robots computing and manipulating on water surface"

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.ET(Emerging Technologies)