
Hua Wu
Articles
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Dec 30, 2024 |
bmcgenomics.biomedcentral.com | Qingbo Ai |Jun Li |Hua Wu |Fuyuan Qiu
To gain a deeper understanding of the biological processes that govern nuptial pad development, we then further compared the gene expression differences between different tissues to explore the essential genetic expression differences between nuptial pads and hind toe skin. This comparison allowed us to identify DEGs by contrasting the gene expression profiles of two skin tissues from the same sex and developmental stages.
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Nov 29, 2024 |
mdpi.com | Jiatong Li |Hua Wu |Jiaqi Zhu |Yue Quan Xu
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Nov 27, 2024 |
mdpi.com | Hua Wu |Yang Liu |Suyu Zhou |Weizheng Zhang
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Oct 7, 2023 |
nature.com | Hua Wu
AbstractMorpholines and morpholinones are important building blocks in organic synthesis and pharmacophores in medicinal chemistry, however, C3-disubstituted morpholines/morpholinones are extremely difficult to access. Here we show the ZnCl2-catalyzed cyclizative 1,2-rearrangement for the efficient synthesis of morpholinones bearing aza-quaternary stereocenters.
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Apr 29, 2023 |
researchgate.net | Hua Wu |Sergio Saponara
Automatic modulation recognition (AMR) of communication signals is an important research topic in the processing of intercepted signals. In this paper, aiming for the automatic recognition of modulated signals, we propose a feature learning and classification method based on the high-order cumulants, which effectively suppresses Gaussian white noise. Six digital modulation schemes including BPSK, QPSK, 8PSK, 8QAM, 16QAM, and 64QAM can be recognized by comparing the feature with the threshold.
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