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: "slime mould logic gates based on frequency changes of electrical potential oscillation"
  Abstract: Physarum polycephalum is a large single amoeba cell, which in its plasmodial phase,forages and connects nearby food sources with protoplasmic tubes. The organism forages for food by growing these tubes towards detected food stuffs, this foraging behaviour is governed by simple rules of photoavoidance and chemotaxis. The electrical activity of the tubes oscillates, creating a peristaltic like action within the tubes, forcing cytoplasm along the lumen; the frequency of this oscillation controls the speed and direction of growth. External stimuli such as light and food cause changes in the oscillation frequency. We demonstrate that using these stimuli as logical inputs we can approximate logic gates using these tubes and derive combinational logic circuits by cascading the gates, with software analysis providing the output of each gate and determining the input of the following gate. Basic gates OR, AND and NOT were correct 90%, 77.8% and 91.7% of the time respectively. Derived logic circuits XOR, Half Adder and Full Adder were 70.8%, 65% and 58.8% accurate respectively. Accuracy of the combinational logic decreases as the number of gates is increased, however they are at least as accurate as previous logic approximations using spatial growth of Physarum polycephalum and up to 30 times as fast at computing the logical output. The results shown here demonstrate a significant advancement in organism-based computing, providing a solid basis for hybrid computers of the future.

Connected through hyperedge HE-1 (induced by source paper "discovering boolean gates in slime mould"):
  with members:
    - "slime mould memristors"
    - "practical circuits with physarum wires"
    - "slime mould electronic oscillators"
    - "towards slime mould chemical sensor mapping chemical inputs onto electrical potential dynamics of physarum polycephalum"
    - "towards slime mould colour sensor recognition of colours by physarum polycephalum"
    - "slime mould tactile sensor"
    - "are complex systems hard to evolve"

Connected through hyperedge HE-2 (induced by source paper "applications of multi agent slime mould computing"):
  with members:
    - "a morphological adaptation approach to path planning inspired by slime mould"
    - "material approximation of data smoothing and spline curves inspired by slime mould"
    - "quantitative transformation for implementation of adder circuits in physical systems"
    - "approximation of statistical analysis and estimation by morphological adaptation in a model of slime mould"
    - "slime mould inspired generalised voronoi diagrams with repulsive fields"
    - "the emergence and dynamical evolution of complex transport networks from simple low level behaviours"
    - "mechanisms inducing parallel computation in a model of physarum polycephalum transport networks"
    - "representation of shape mediated by environmental stimuli in physarum polycephalum and a multi agent model"

Connected through hyperedge HE-3 (induced by source paper "quantitative transformation for implementation of adder circuits in physical systems"):
  with members:
    - "the emergence and dynamical evolution of complex transport networks from simple low level behaviours"
    - "physarum chip developments in growing computers from slime mould"
    - "sensory fusion in physarum polycephalum and implementing multi sensory functional computation"
    - "is spiking logic the route to memristor based computers"
    - "towards slime mould chemical sensor mapping chemical inputs onto electrical potential dynamics of physarum polycephalum"
    - "towards slime mould colour sensor recognition of colours by physarum polycephalum"
    - "slime mould tactile sensor"
    - "boolean logic gate design principles in unconventional computers an nmr case study"

Connected through hyperedge HE-4 (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 electronic oscillators"
    - "towards plant wires"
    - "towards slime mould chemical sensor mapping chemical inputs onto electrical potential dynamics of physarum polycephalum"
    - "routing of physarum polycephalum signals using simple chemicals"
    - "slime mould tactile sensor"

Connected through hyperedge HE-5 (induced by source paper "on hybrid circuits exploiting thermistive properties of slime mould"):
  with members:
    - "slime mould memristors"
    - "slime mould electronic oscillators"
    - "towards slime mould chemical sensor mapping chemical inputs onto electrical potential dynamics of physarum polycephalum"
    - "towards slime mould colour sensor recognition of colours by physarum polycephalum"
    - "slime mould tactile sensor"

Connected through hyperedge HE-6 (induced by source paper "discrete and continuous systems of logic in nuclear magnetic resonance"):
  with members:
    - "boolean logic gate design principles in unconventional computers an nmr case study"

Connected through hyperedge HE-7 (induced by source paper "physarum chip developments in growing computers from slime mould"):
  with members:
    - "sensory fusion in physarum polycephalum and implementing multi sensory functional computation"
    - "towards slime mould chemical sensor mapping chemical inputs onto electrical potential dynamics of physarum polycephalum"

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)