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: "reactive receiver modeling for diffusive molecular communication systems with molecule degradation"
  Abstract: In this paper, we consider the diffusive molecular communication channel between a transmitter nano-machine and a receiver nano-machine in a fluid environment. The information molecules released by the transmitter nano-machine into the environment can degrade in the channel via a first-order degradation reaction and those that reach the receiver nano-machine can participate in a reversible bimolecular-reaction with receiver receptor proteins. We derive a closed-form analytical expression for the expected received signal at the receiver, i.e., the expected number of activated receptors on the surface of the receiver. The accuracy of the derived analytical result is verified with a Brownian motion particle-based simulation of the environment.

Connected through hyperedge HE-1 (induced by source paper "analyzing large scale multiuser molecular communication via 3d stochastic geometry"):
  with members:
    - "3d stochastic geometry model for large scale molecular communication systems"
    - "modeling and simulation of molecular communication systems with a reversible adsorption receiver"
    - "physical layer security in three tier wireless sensor networks a stochastic geometry approach"
    - "improving receiver performance of diffusive molecular communication with enzymes"
    - "a unifying model for external noise sources and isi in diffusive molecular communication"
    - "isi mitigation techniques in molecular communication"
    - "effect of degradation in molecular communication impairment or enhancement"
    - "using dimensional analysis to assess scalability and accuracy in molecular communication"

Connected through hyperedge HE-2 (induced by source paper "channel estimation for diffusive molecular communications"):
  with members:
    - "channel estimation techniques for diffusion based molecular communications"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "amplify and forward relaying in two hop diffusion based molecular communication networks"
    - "bounds on distance estimation via diffusive molecular communication"
    - "effect of receptor density and size on signal reception in molecular communication via diffusion with an absorbing receiver"
    - "a unifying model for external noise sources and isi in diffusive molecular communication"
    - "optimal receiver design for diffusive molecular communication with flow and additive noise"
    - "channel and noise models for nonlinear molecular communication systems"

Connected through hyperedge HE-3 (induced by source paper "comprehensive reactive receiver modeling for diffusive molecular communication systems reversible binding molecule degradation and finite number of receptors"):
  with members:
    - "modeling and simulation of molecular communication systems with a reversible adsorption receiver"
    - "improving receiver performance of diffusive molecular communication with enzymes"
    - "effect of receptor density and size on signal reception in molecular communication via diffusion with an absorbing receiver"
    - "effect of degradation in molecular communication impairment or enhancement"

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)