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: "channel impulse responses in diffusive molecular communication with spherical transmitters"
  Abstract: Molecular communication is an emerging paradigm for systems that rely on the release of molecules as information carriers. Communication via molecular diffusion is a popular strategy that is ubiquitous in nature and very fast over distances on the order of a micron or less. Existing closed-form analysis of the diffusion channel impulse response generally assumes that the transmitter is a point source. In this paper, channel impulse responses are derived for spherical transmitters with either a passive or absorbing receiver. The derived channel impulse responses are in closed-form for a one-dimensional environment and can be found via numerical integration for a three-dimensional environment. The point transmitter assumption (PTA) is formally defined so that its accuracy can be measured in comparison to the derived spherical transmitter impulse responses. The spherical transmitter model is much more accurate than the PTA when the distance between a transmitter and its receiver is small relative to the size of the transmitter. The derived results are verified via microscopic particle-based simulations using the molecular communication simulation platform AcCoRD (Actor-based Communication via Reaction-Diffusion). A spherical transmitter variation where molecules are released from the surface of a solid sphere is also considered via simulation.

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"
    - "impulse response of the molecular diffusion channel with a spherical absorbing receiver and a spherical reflective boundary"
    - "modeling duct flow for molecular communication"
    - "molecular signal modeling of a partially counting absorbing spherical receiver"
    - "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 "diffusion based molecular communication channel in presence of a probabilistic absorber single receptor model and congestion analysis"):
  with members:
    - "applications of molecular communications to medicine a survey"
    - "comprehensive reactive receiver modeling for diffusive molecular communication systems reversible binding molecule degradation and finite number of receptors"
    - "channel estimation for diffusive molecular communications"
    - "a molecular communications model for drug delivery"
    - "channel and noise models for nonlinear molecular communication systems"

Connected through hyperedge HE-3 (induced by source paper "spherical diffusion model with semi permeable boundary a transfer function approach"):
  with members:
    - "chemical propagation pattern for molecular communications"
    - "a comprehensive survey of recent advancements in molecular communication"

Connected through hyperedge HE-4 (induced by source paper "channel modeling for diffusive molecular communication a tutorial review"):
  with members:
    - "a survey of biological building blocks for synthetic molecular communication systems"
    - "stochastic channel modeling for diffusive mobile molecular communication systems"
    - "a novel experimental platform for in vessel multi chemical molecular communications"
    - "generalized solution for the demodulation of reaction shift keying signals in molecular communication networks"
    - "diffusive mobile molecular communications over time variant channels"
    - "symbol synchronization for diffusion based molecular communications"
    - "effective enzyme deployment for degradation of interference molecules in molecular communication"
    - "modeling duct flow for molecular communication"

Connected through hyperedge HE-5 (induced by source paper "impulse response of the molecular diffusion channel with a spherical absorbing receiver and a spherical reflective boundary"):
  with members:
    - "a novel a priori simulation algorithm for absorbing receivers in diffusion based molecular communication systems"
    - "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"
    - "optimal receiver design for diffusive molecular communication with flow and additive noise"
    - "establishing digital molecular communications in blood vessels"

Connected through hyperedge HE-6 (induced by source paper "molecular signal modeling of a partially counting absorbing spherical receiver"):
  with members:
    - "machine learning based channel modeling for molecular mimo communications"
    - "chemical propagation pattern for molecular communications"
    - "a machine learning approach to model the received signal in molecular communications"
    - "isi aware modeling and achievable rate analysis of the diffusion channel"
    - "molecular mimo from theory to prototype"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "molecular communications channel model and physical layer techniques"
    - "improving receiver performance of diffusive molecular communication with enzymes"

Connected through hyperedge HE-7 (induced by source paper "a machine learning approach to model the received signal in molecular communications"):
  with members:
    - "molecular mimo from theory to prototype"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "molecular mimo communication link"
    - "molecular communications channel model and physical layer techniques"
    - "molecular communications with longitudinal carrier waves baseband to passband modulation"
    - "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"
    - "a unifying model for external noise sources and isi in diffusive molecular communication"

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)