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 "emerging basic clinical and translational research fronts in dental biomaterials r d"):
  Abstract: The current (2007-2007) structure and content of dental materials research has been investigated by identifying and describing the emergent research fronts which can be related to basic, translational and clinical observation research. By a combination of network analysis and text mining of the literature on dental materials indexed in the Web of Science, we have identified eleven emerging research fronts. These fronts are related to different dental materials applications which are at different levels in the knowledge translation and biomedical innovation process. We identified fronts related to dominant designs like titanium implants, competing technologies like ceramics and composites applications to prothesis and restauration, and disruptive technologies like nanomaterials and mineral trioxide aggregates. Our results suggest the possible relation between the technological complexity of the dental materials and the level of advance in terms of knowledge translation. This is the first time the structure and content of research on dental materials research is analyzed.

Includes members:
  Member "hegemonic structure of basic clinical and patented knowledge on ebola research a us army reductionist initiative":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "the emergence and evolution of the research fronts in hiv aids research")
  Member "mapping knowledge translation and innovation processes in cancer drug development the case of liposomal doxorubicin":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "hierarchy of knowledge translation from health problems to ad hoc drug design")

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.DL(Digital Libraries)