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: "impulse response of the molecular diffusion channel with a spherical absorbing receiver and a spherical reflective boundary"
  Abstract: In this letter, we derive the impulse response of the diffusion channel with a spherical absorbing receiver, a spherical reflective boundary, and a point transmitter in the molecular communication domain. The proposed model fits geometrically well with the intra-cellular diffusion environment and can be further extended to other cases by applying small deformations to the sphere. By exploring the channel characteristics and drawing comparisons with the unbounded case, we show the consequences of having the boundary on channel properties, such as peak time, peak amplitude, and the fraction of molecules that hit the receiver. In particular, we find that the existence of the reflective boundary can either increase (for high diffusion coefficient) or decrease (for low diffusion coefficient) the signal strength with respect to the unbounded case.

Connected through hyperedge HE-1 (induced by source paper "analytical derivation of the impulse response for the bounded 2 d diffusion channel"):
  with members:
    - "channel model of molecular communication via diffusion in a vessel like environment considering a partially covering receiver"
    - "modeling duct flow for molecular communication"
    - "molecular signal modeling of a partially counting absorbing spherical receiver"
    - "channel impulse responses in diffusive molecular communication with spherical transmitters"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "improving receiver performance of diffusive molecular communication with enzymes"
    - "nanoscale communication with brownian motion"

Connected through hyperedge HE-2 (induced by source paper "the effective geometry monte carlo algorithm applications to molecular communication"):
  with members:
    - "a novel a priori simulation algorithm for absorbing receivers in diffusion based molecular communication systems"
    - "compound poisson noise sources in diffusion based molecular communication"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "diffusion based nanonetworking a new modulation technique and performance analysis"

Connected through hyperedge HE-3 (induced by source paper "diffusive molecular communication in biological cylindrical environment"):
  with members:
    - "a general analytical approximation to impulse response of 3 d microfluidic channels in molecular communication"
    - "channel model of molecular communication via diffusion in a vessel like environment considering a partially covering receiver"
    - "modeling duct flow for molecular communication"
    - "modeling and simulation of molecular communication systems with a reversible adsorption receiver"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "improving receiver performance of diffusive molecular communication with enzymes"
    - "establishing digital molecular communications in blood vessels"
    - "simulation of molecular signaling in blood vessels software design and application to atherogenesis"

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)