Publications by authors named "Hongzheng Gao"

Article Synopsis
  • Research explores the use of brain-computer interfaces (BCI) based on speech imagery to enhance communication for ALS patients but currently focuses on a limited scope, mainly vowels and a few words.
  • The study introduces a comprehensive approach that records 31 speech imagery contents, using a 32-channel EEG to capture letters and punctuation, and employs advanced techniques like wavelet scattering transform (WST) for feature extraction and dimensionality reduction with Kernel Principal Component Analysis (KPCA).
  • An Extreme Gradient Boosting (XGBoost) classifier optimized through hyperparameter tuning achieves an average accuracy of 78.73% in classifying the recorded speech imagery, with visualization techniques like t-SNE used to illustrate character clustering and overall effectiveness compared to
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The fresh water unicellular alga Haematococcus pluvialis is a promising natural source of astaxanthin. The present study investigated the transcriptional expression of carotenoid genes for astaxanthin accumulation in H. pluvialis using real-time fluorescence quantitative PCR (qRT-PCR).

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The fresh-water green unicellular alga Haematococcus pluvialis is known to accumulate astaxanthin under stress conditions. In the present study, transcriptional expression of eight genes involved in astaxanthin biosynthesis exposed to EBR (25 and 50 mg/L) was analyzed using qRT-PCR. The results demonstrated that both 25 and 50 mg/L EBR could increase astaxanthin productivity and the eight carotenogenic genes were up-regulated by EBR with different expression profiles.

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