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 new gate for optimal fault tolerant testable reversible sequential circuit design"
  Abstract: With phenomenal growth of high speed and complex computing applications, the design of low power and high speed logic circuits have created tremendous interest. Conventional computing devices are based on irreversible logic and further reduction in power consumption and/or increase in speed appears non-promising. Reversible computing has emerged as a solution looking to the power and speed requirements of future computing devices. In reversible computing logic gates used are such that input can be generated by reversing the operation from output. A number of reversible combinational circuits have been developed but the growth of sequential circuits was not significant due to feedback and fanout was not allowed. However, allowing feedback in space, a very few sequential logic blocks i.e. flip-flops have been reported in literature. In order to develop sequential circuits, flip-flops are used in conventional circuits. Also good circuit design methods, optimized and fault tolerant designs are also needed to build large, complex and reliable circuits in conventional computing. Reversible flip-flops are the basic memory elements that will be the building block of memory for reversible computing and quantum computing devices. In this dissertation we plan to address above issues. First we have proposed a Pareek gate suitable for low-cost flip-flops design and then design methodology to develop flip-flops are illustrated. Further almost all flip-flops and some example circuit have been developed and finally these circuits have been converted into fault tolerant circuits by preserving their parity and designs of offline as well as online testable circuits have been proposed. In this dissertation work, we have also compared quantum cost as well as other parameters with existing circuits and shown a significant improvement in almost all parameters.

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)