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: "physarum chip developments in growing computers from slime mould"
  Abstract: Physarum polycephalum is a large single amoeba cell visible without a microscope, growing up to several centimetres across. This yellow slime mould forages for foodstuffs, extending protoplasmic tubes by a process of shuttle streaming. The cell is capable of optimising the shape of its protoplasmic networks in spatial configurations of attractants and repellents, resulting in spanning-tree arrangements. Such adaptive behaviour can be interpreted as computation. When exposed to attractants and repellents, Physarum changes patterns of its electrical activity associated with shuttle streaming, creating a peristaltic like action within the tubes, forcing cytoplasm along the lumen; the frequency of this oscillation determines the speed and direction of growth. We experimentally derived a unique one-to-one mapping between a range of selected bioactive chemicals and the resultant oscillation voltage of the slime mould’s extracellular electrical potential [1]. Amplitude and frequency change of this fluctuation can be used to identify specific chemicals with acceptable reliability; demonstrating detection of these chemicals in a similar manner to a biological contactless chemical sensor. The organism took approximately 10 minutes to respond fully to chemical exposure; in addition, 10 minutes of voltage recording was necessary to deduce frequency change. We believe results could be used in future designs of slime mould based chemical sensors and computers. Surface electrical potential recordings were also made of a protoplasmic tube of the slime mould in response to a multitude of stimuli with regards to sensory fusion or multisensory integration and also to evaluate the effect of environmental fluctuations on the reliability of chemical detection [2]. Each stimulus was tested both alone and in combination to evaluate the effect that multiple stimuli have on the frequency of streaming oscillation. White light caused a decrease in frequency, whilst increasing the temperature and applying a food source in the form of oat flakes both increased the frequency. Simultaneously stimulating P. polycephalum with light and oat flake produced no net change in frequency, while combined light and heat stimuli showed an increase in frequency smaller than that observed for heat alone. When the two positive stimuli, oat flakes and heat, were combined, there was an overall increase in frequency similar to the cumulative increases caused by the individual stimuli. It is not known if Physarum polycephalum is able to differentiate between these different stimuli, but it is believed that the stimuli are detected by specific receptors and the effects are mediated through a multiple input, single output biochemical pathway resulting in sensory integration with amplitude and frequency of shuttle streaming. It is plausible that the calcium fluctuations responsible for shuttle streaming are the result of competitive or inhibitory binding of a bio-oscillator by receptor intermediaries. The chemical biosensor does exhibit sensitivity to significant environmental changes such as increased light levels and large changes in temperature which may interfere with the voltage fluctuation and hence accuracy of analyte detection. It is proposed that this novel biosensor is

Connected through hyperedge HE-1 (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"
    - "sensory fusion in physarum polycephalum and implementing multi sensory functional computation"
    - "is spiking logic the route to memristor based computers"
    - "slime mould logic gates based on frequency changes of electrical potential oscillation"
    - "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-2 (induced by source paper "practical circuits with physarum wires"):
  with members:
    - "quantitative transformation for implementation of adder circuits in physical systems"
    - "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"

Connected through hyperedge HE-3 (induced by source paper "slime mould logic gates based on frequency changes of electrical potential oscillation"):
  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"
    - "towards slime mould colour sensor recognition of colours by physarum polycephalum"
    - "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)