human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "a survey of biological building blocks for synthetic molecular communication systems"):
  Abstract: The design and implementation of synthetic molecular communication systems at nano- and microscale are very challenging. This is particularly true for synthetic MCSs employing biological components as transmitters and receivers or as interfaces with natural biological MCSs. Nevertheless, since such biological components have been optimized by nature over billions of years, using them in synthetic MCSs is highly promising. This paper provides a survey of biological components that can potentially serve as the main building blocks, i.e., transmitter, receiver, and signaling particles, for the design and implementation of synthetic MCSs. Nature uses a large variety of signaling particles of different sizes and with vastly different properties for communication among biological entities. Here, we focus on three important classes of signaling particles: cations, neurotransmitters, and phosphopeptides. These three classes have unique and distinct features such as their large diffusion coefficients, their specificity, and/or their uniqueness of signaling that make them suitable candidates for signaling particles in synthetic MCSs. For each of these candidate signaling particles, we present several specific transmitter and receiver structures mainly built upon proteins that are capable of performing the distinct physiological functionalities required from the transmitters and receivers of MCSs. One of the main advantages of employing proteins for signal emission and detection is that they can be modified with tools from synthetic biology and be tailored to a wide range of application needs. We discuss the properties and limitations of the resulting synthetic MCSs in detail. Furthermore, we outline the possible challenges arising in the implementation of the proposed transmitter and receiver architectures and options for intersymbol interference mitigation for the considered signaling particles.

Includes members:
  Member "transmitter and receiver architectures for molecular communications a survey on physical design with modulation coding and detection techniques":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "channel sensing in molecular communications with single type of ligand receptors")
  Member "designing molecular circuits for approximate maximum a posteriori demodulation of concentration modulated signals":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "using spatial partitioning to reduce the bit error rate of diffusion based molecular communications")
  Member "index modulation for molecular communication via diffusion systems":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "simulation study and analysis of diffusive molecular communications with an apertured plane")
  Member "diffusive molecular communications with reactive molecules channel modeling and signal design":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "chemical reactions based detection mechanism for molecular communications")
  Member "channel modeling for diffusive molecular communication a tutorial review":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "a novel time based modulation scheme in time asynchronous channels for molecular communications")
  Member "a novel experimental platform for in vessel multi chemical molecular communications":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "transmitter and receiver architectures for molecular communications a survey on physical design with modulation coding and detection techniques")
  Member "diffusion based molecular communication principle key technologies and challenges":
    also connected through other hyperedges:
      (none)
  Member "symbol synchronization for diffusion based molecular communications":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "molecular communication with anomalous diffusion in stochastic nanonetworks")

Question: Please tell me which class the source paper 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)