• Title/Summary/Keyword: LBD-009

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A STUDY ON ANTIGENICITY OF RECOMBINANT HUMAN GROWTH HORMONE (LBD-007) IN MICE AND GUINEA PIGS

  • Park, Jong-Il;Han, Sang-Seop;Roh, Jung-Koo
    • Toxicological Research
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    • v.9 no.1
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    • pp.125-132
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    • 1993
  • Antigenic potential of recombinant human growth hormone (LBD-007), a newly developed drug for growth hormone deficiency, was investigated in mice and guinea pigs. 1. Mice showed production of antibodies against LBD-009 (1.5IU/kg) with aluminum hydroxide gel(alum) as an adjuvant, Judaged by the heterologous anaphylaxis (PCA) test using rats. On the other hand, antibodies against ovalbumin (OVA) inoculated with alum were definitely detected. 2. In the studies with guinea pigs, both the inoculation of LBD-009 (0.15IU/kg-1.5IU/kg) only and of LBD-009 with complete Freund's adjuvant (CFA) as an adjuvant did produce weak positive reactions in homologous passive cutaneous anaphylaxis (PCA). On the other hand, the inoculation of ovalbumin with complete Freund's adjuvant (CFA) produced positive reaction in PCA.

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Resource Allocation in Multi-User MIMO-OFDM Systems with Double-objective Optimization

  • Chen, Yuqing;Li, Xiaoyan;Sun, Xixia;Su, Pan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.5
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    • pp.2063-2081
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    • 2018
  • A resource allocation algorithm is proposed in this paper to simultaneously minimize the total system power consumption and maximize the system throughput for the downlink of multi-user multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) systems. With the Lagrange dual decomposition method, we transform the original problem to its convex dual problem and prove that the duality gap between the two problems is zero, which means the optimal solution of the original problem can be obtained by solving its dual problem. Then, we use convex optimization method to solve the dual problem and utilize bisection method to obtain the optimal dual variable. The numerical results show that the proposed algorithm is superior to traditional single-objective optimization method in both the system throughput and the system energy consumption.