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: "mapping knowledge translation and innovation processes in cancer drug development the case of liposomal doxorubicin"
  Abstract: We explored how the knowledge translation and innovation processes are structured when theyresult in innovations, as in the case of liposomal doxorubicin research. In order to map the processes, a literature network analysis was made through Cytoscape and semantic analysis was performed by GOPubmed which is based in the controlled vocabularies MeSH (Medical Subject Headings) and GO (Gene Ontology). We found clusters related to different stages of the technological development (invention, innovation and imitation) and the knowledge translation process (preclinical, translational and clinical research), and we were able to map the historic emergence of Doxil as a paradigmatic nanodrug. This research could be a powerful methodological tool for decision-making and innovation management in drug delivery research.

Connected through hyperedge HE-1 (induced by source paper "emerging basic clinical and translational research fronts in dental biomaterials r d"):
  with members:
    - "hegemonic structure of basic clinical and patented knowledge on ebola research a us army reductionist initiative"

Connected through hyperedge HE-2 (induced by source paper "hierarchy of knowledge translation from health problems to ad hoc drug design"):
  with members:
    - "hegemonic structure of basic clinical and patented knowledge on ebola research a us army reductionist initiative"
    - "liposomes versus metallic nanostructures differences in the process of knowledge translation in cancer"

Connected through hyperedge HE-3 (induced by source paper "the effects of research level and article type on the differences between citation metrics and f1000 recommendations"):
  with members:
    - "liposomes versus metallic nanostructures differences in the process of knowledge translation in cancer"
    - "inter rater reliability and convergent validity of f1000prime peer review"
    - "citation analysis may severely underestimate the impact of clinical research as compared to basic research"
    - "the validation of advanced bibliometric indicators through peer assessments a comparative study using data from incites and f1000"

Connected through hyperedge HE-4 (induced by source paper "hegemonic structure of basic clinical and patented knowledge on ebola research a us army reductionist initiative"):
  with members:
    - "liposomes versus metallic nanostructures differences in the process of knowledge translation in cancer"

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.DL(Digital Libraries)