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: "a universal channel model for molecular communication systems with metal oxide detectors"
  Abstract: In this paper, we propose an end-to-end channel model for molecular communication systems with metal-oxide sensors. In particular, we focus on the recently developed table top molecular communication platform. The system is separated into two parts: the propagation and the sensor detection. There is derived, based on this, a more realistic end-to-end channel model. However, since some of the coefficients in the derived models are unknown, we collect a great deal of experimental data to estimate these coefficients and evaluate how they change with respect to the different system parameters. Finally, a noise model is derived for the system to complete an end-to-end system model for the tabletop platform.

Connected through hyperedge HE-1 (induced by source paper "transmitter and receiver architectures for molecular communications a survey on physical design with modulation coding and detection techniques"):
  with members:
    - "magnetic nanoparticle based molecular communication in microfluidic environments"
    - "diffusion based molecular communication with limited molecule production rate"
    - "stochastic channel modeling for diffusive mobile molecular communication systems"
    - "exploiting diversity in molecular timing channels via order statistics"
    - "experimental molecular communication testbed based on magnetic nanoparticles in duct flow"
    - "diversity gain of one shot communication over molecular timing channels"
    - "a novel experimental platform for in vessel multi chemical molecular communications"
    - "on the design of matched filters for molecule counting receivers"

Connected through hyperedge HE-2 (induced by source paper "a comprehensive survey of recent advancements in molecular communication"):
  with members:
    - "molecular mimo from theory to prototype"
    - "molecular communications channel model and physical layer techniques"
    - "design and optimizing of on chip kinesin substrates for molecular communication"
    - "improving receiver performance of diffusive molecular communication with enzymes"
    - "a molecular communication link for monitoring in confined environments"
    - "relaying in diffusion based molecular communication"
    - "effect of receptor density and size on signal reception in molecular communication via diffusion with an absorbing receiver"
    - "optimal receiver design for diffusive molecular communication with flow and additive noise"

Connected through hyperedge HE-3 (induced by source paper "modeling and analysis of sinw fet based molecular communication receiver"):
  with members:
    - "on the physical design of molecular communication receiver based on nanoscale biosensors"
    - "a markovian approach to the optimal demodulation of diffusion based molecular communication networks"
    - "modeling and analysis of sinw biofet as molecular antenna for bio cyber interfaces towards the internet of bio nanothings"
    - "improving receiver performance of diffusive molecular communication with enzymes"
    - "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"
    - "extended master equation models for molecular communication networks"
    - "tabletop molecular communication text messages through chemical signals"

Connected through hyperedge HE-4 (induced by source paper "a vertical channel model of molecular communication based on alcohol molecules"):
  with members:
    - "a comprehensive survey of recent advancements in molecular communication"
    - "channel and noise models for nonlinear molecular communication systems"
    - "tabletop molecular communication text messages through chemical signals"

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)