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: "quantitative transformation for implementation of adder circuits in physical systems"
  Abstract: Computing devices are composed of spatial arrangements of simple funda- mental logic gates. These gates may be combined to form more complex adding circuits and, ultimately, complete computer systems. Implementing classical adding circuits using unconventional, or even living substrates such as slime mould Physarum polycephalum, is made difficult and often impracti- cal by the challenges of branching fan-out of inputs and regions where circuit lines must cross without interference. In this report we explore whether it is possible to avoid spatial propagation, branching and crossing completely in the design of adding circuits. We analyse the input and output patterns of a single-bit full adder circuit. A simple quantitative transformation of the input patterns which considers the total number of bits in the input string allows us to map the respective input combinations to the correct outputs patterns of the full adder circuit, reducing the circuit combinations from a 2:1 mapping to a 1:1 mapping. The mapping of inputs to outputs also shows an incremental linear progression, suggesting its implementation in a range of physical systems. We demonstrate an example implementation, first in simulation, inspired by self-oscillatory dynamics of the acellular slime mould Physarum polycephalum. We then assess the potential implementation using plasmodium of slime mould itself. This simple transformation may enrich the potential for using unconventional computing substrates to implement digital circuits.

Connected through hyperedge HE-1 (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"
    - "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"
    - "slime mould logic gates based on frequency changes of electrical potential oscillation"

Connected through hyperedge HE-2 (induced by source paper "practical circuits with physarum wires"):
  with members:
    - "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"
    - "routing of physarum polycephalum signals using simple chemicals"
    - "slime mould tactile sensor"

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)