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: "the alignment of public research supply and industry demand for effective technology transfer the case of italy"
  Abstract: Italy lags behind other industrialized countries in public to private technology transfer. One of the causes of this may be the mismatch between new knowledge supplied by public research and industry demand. We test this hypothesis through a survey of leading public research scientists in four high-tech sectors. The findings show that the results of most research projects seem to be of immediate industrial interest, which contrasts with the low level of patents and licensing of Italian public research institutions. For one-third of the research results, there are no Italian companies that are able to exploit them. The same, however, is not true for the remaining results, which shows that the misalignment between public supply and industry demand alone cannot account for poor technology transfer. A closer coordination of research policy and industrial policy is required, as well as closer attention to initiatives which may support the transfer of public research results to Italian industry. Copyright , Beech Tree Publishing.

Connected through hyperedge HE-1 (induced by source paper "an individual level assessment of the relationship between spin off activities and research performance in universities"):
  with members:
    - "a heuristic approach to author name disambiguation in bibliometrics databases for large scale research assessments"
    - "national scale research performance assessment at the individual level"
    - "research collaboration and productivity is there correlation"

Connected through hyperedge HE-2 (induced by source paper "assessing public private research collaboration is it possible to compare university performance"):
  with members:
    - "university industry collaboration in italy a bibliometric examination"
    - "the measurement of italian universities research productivity by a non parametric bibliometric methodology"
    - "the technology transfer of the italian public research system the case of the national research council of italy"

Connected through hyperedge HE-3 (induced by source paper "university industry collaboration in italy a bibliometric examination"):
  with members:
    - "allocative efficiency in public research funding can bibliometrics help"
    - "the measurement of italian universities research productivity by a non parametric bibliometric methodology"

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)