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Copper-cysteamine and methods of use
Structure and luminescence properties of a new Cu-Cyteamine (Cu-Cy) crystal material are provided. The crystal structure of the Cu-Cy is determined by single crystal X-ray diffraction. It is found that the compound crystallizes in the monoclinic space group C2/c and cell parameters are a=7.5510(4) Å, b=16.9848(7) Å, c=7.8364(4) Å, β=104.798(3)°. The new Cu-Cy crystal material of the invention is also useful for treatment of cancer.Board of Regents, University of Texas Syste
Rate Compatible LDPC Neural Decoding Network: A Multi-Task Learning Approach
Deep learning based decoding networks have shown significant improvement in
decoding LDPC codes, but the neural decoders are limited by rate-matching
operations such as puncturing or extending, thus needing to train multiple
decoders with different code rates for a variety of channel conditions. In this
correspondence, we propose a Multi-Task Learning based rate-compatible LDPC
ecoding network, which utilizes the structure of raptor-like LDPC codes and can
deal with multiple code rates. In the proposed network, different portions of
parameters are activated to deal with distinct code rates, which leads to
parameter sharing among tasks. Numerical experiments demonstrate the
effectiveness of the proposed method. Training the specially designed network
under multiple code rates makes the decoder compatible with multiple code rates
without sacrificing frame error rate performance
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