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 "inscribed matter communication part ii"):
  Abstract: We provide a fundamental treatment of the molecular communication channel wherein “inscribed matter” is transmitted across a spatial gap to provide reliable signaling between a sender and receiver. Inscribed matter is defined as an ensemble of “tokens” (biotic/abiotic objects) and is inspired, at least partially, by biological systems where groups of individually constructed discrete particles ranging from molecules to viruses and organisms are released by a source and travel to a target—for example, morphogens or semiochemicals diffuse from one cell, tissue, or organism to another. For identical-tokens that are neither lost nor modified, we consider messages encoded using three candidate communication schemes: 1) token timing (timed release); 2) token payload (composition); and 3) token timing plus payload. We provide capacity bounds for each scheme and discuss their relative utility. We find that under not unreasonable assumptions, megabit per second rates could be supported at 100 femtoWatt transmitter powers. Since quantities such as token concentration or token counting are derivatives of token arrival timing, token timing undergirds all molecular communication techniques. Thus, our modeling and results about the physics of efficient token-based information transfer can inform investigations of diverse theoretical and practical problems in engineering and biology. This paper, Part I, focuses on the information theoretic bounds on capacity. Part II develops some of the mathematical and information theoretic machinery that support the bounds presented here.

Includes members:
  Member "on the capacity of diffusion based molecular timing channels":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a novel time based modulation scheme in time asynchronous channels for molecular communications")
  Member "capacity limits of diffusion based molecular timing channels":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "exploiting diversity in molecular timing channels via order statistics")
  Member "a comprehensive survey of recent advancements in molecular communication":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "transmitter and receiver architectures for molecular communications a survey on physical design with modulation coding and detection techniques")
  Member "capacity of electron based communication over bacterial cables the full csi case":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "classes of full duplex channels with capacity achieved without adaptation")
  Member "relaying in diffusion based molecular communication":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "end to end performance optimization in hybrid molecular and electromagnetic communications")
  Member "design and analysis of wireless communication systems using diffusion based molecular communication among bacteria":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "channel modeling for diffusive molecular communication a tutorial review")
  Member "timing channels with multiple identical quanta":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "an algebraic geometric approach for linear regression without correspondences")
  Member "capacity of discrete molecular diffusion channels":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "using spatial partitioning to reduce the bit error rate of diffusion based molecular communications")

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)