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Dingkang Wang,Min Zhang,Jun Huang,Rongqing Zhou,Yao Jin,Chongde Wu 한국미생물·생명공학회 2020 Journal of microbiology and biotechnology Vol.30 No.1
Zygosaccharomyces rouxii is an important yeast that is required in the food fermentation process due to its high salt tolerance. In this study, the responses and resistance strategies of Z. rouxii against salt stress were investigated by performing physiological analysis at membrane level. The results showed that under salt stress, cell integrity was destroyed, and the cell wall was ruptured, which was accompanied by intracellular substance spillover. With an increase of salt concentrations, intracellular Na+ content increased slightly, whereas intracellular K+ content decreased significantly, which caused the increase of the intracellular Na+/K+ ratio. In addition, in response to salt stress, the activity of Na+/K+-ATPase increased from 0.54 to 2.14 μmol/mg protein, and the ergosterol content increased to 2.42-fold to maintain membrane stability. Analysis of cell membrane fluidity and fatty acid composition showed that cell membrane fluidity decreased and unsaturated fatty acid proportions increased, leading to a 101.21% rise in the unsaturated/saturated fatty acid ratio. The results presented in this study offer guidance in understanding the salt tolerance mechanism of Z. rouxii, and in developing new strategies to increase the industrial utilization of this species under salt stress.
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CAttNet: A Compound Attention Network for Depth Estimation of Light Field Images
Dingkang Hua,Qian Zhang,Wan Liao,Bin Wang,Tao Yan 한국정보처리학회 2023 Journal of information processing systems Vol.19 No.4
Depth estimation is one of the most complicated and difficult problems to deal with in the light field. In thispaper, a compound attention convolutional neural network (CAttNet) is proposed to extract depth maps fromlight field images. To make more effective use of the sub-aperture images (SAIs) of light field and reduce theredundancy in SAIs, we use a compound attention mechanism to weigh the channel and space of the featuremap after extracting the primary features, so it can more efficiently select the required view and the importantarea within the view. We modified various layers of feature extraction to make it more efficient and useful toextract features without adding parameters. By exploring the characteristics of light field, we increased thenetwork depth and optimized the network structure to reduce the adverse impact of this change. CAttNet canefficiently utilize different SAIs correlations and features to generate a high-quality light field depth map. Theexperimental results show that CAttNet has advantages in both accuracy and time.
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( Cheng Wu ),( Lijie Liu ),( Peng Zhao ),( Dan Tang ),( Dingkang Yao ),( Liang Zhu ),( Zhiqiang Wang ) 대한소화기학회 2015 Gut and Liver Vol.9 No.5
Background/Aims: To screen for serum protein/peptide biomarkers of hepatitis B virus (HBV)-associated chronic hepatic lesions in an attempt to profile the progression of HBV-associated chronic hepatic lesions using surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF MS) techniques. Methods: Using SELDI-TOF MS, serum protein/peptide profiles on the CM10 ProteinChip arrays were obtained from a training group including 26 HBV-associated hepatocellular carcinoma patients with liver cirrhosis (LC), 30 HBV-associated LC patients, 85 patients at different stages of liver fibrosis, and 30 asymptomatic HBV carriers. The most valuable SELDI peak for predicting the progression to LC in HBV-infected patients was identified. Results: A SELDI peak of M/Z 5805 with value for predicting LC in HBV-infected patients was found and was identified as a peptide of the C-terminal fraction of the fibrinogen a-chain precursor, isoform 1. Conclusions: The peptide of the C-terminal fraction of the fibrinogen α-chain precursor, isoform 1 with M/Z 5805, may be a serological biomarker for progression to LC in HBV-infected patients. (Gut Liver 2015;9:665-671)
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