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Proteolytic effect of starter culture during ripening of smoked horse sausage
Lu Shiling,Han Xianna,Yang yanbin,Li Baokun,Xu Chengjian,Wang Qingling 한국식품과학회 2017 Food Science and Biotechnology Vol.26 No.5
In this study, we assessed the effect of bacterial and endogenous enzymes on the proteolysis of smoked horse sausage. Commercial starter culture (Staphylococcus xylosus + Lactobacillus sakei) was used in smoked horse sausage. Cathepsin B + L and cathepsin B activities, microbiological growth, pH, and water activity (aw) were measured. Based on PCR-DGGE fingerprint analyses, the starter culture inhibited endogenous bacterial growth. During ripening, the residual activity of cathepsin B + L and cathepsin B was higher in batch C (control) than in batch S (containing starter cultures). The starter and endogenous enzymes promote the degradation of sarcoplasmic and myofibrillar proteins; however, the degradation of these proteins was higher in batch S than in batch C. Therefore, bacterial enzymes played a major role in the degradation of proteins during the ripening of smoked horse sausage.
Liu Lixun,Zhang Han,Wu Yingjie,Liu Baokun,Guo Jiong,Li Fu 한국원자력학회 2023 Nuclear Engineering and Technology Vol.55 No.1
The k-eigenvalue neutronics/thermal-hydraulics coupling calculation is a key issue for reactor design and analysis. Jacobian-free Newton-Krylov (JFNK) method, featured with super-linear convergence rate and high efficiency, has been attracting more and more attention to solve the multi-physics coupling problem. However, it may converge to the high-order eigenmode because of the multiple solutions nature of the k-eigenvalue form of multi-physics coupling issue. Based on our previous work, a modified JFNK with a line search method is proposed in this work, which can find the fundamental eigenmode together with thermal-hydraulics feedback in a wide range of initial values. In detail, the existing modified JFNK method is combined with the line search strategy, so that the intermediate iterative solution can avoid a sudden divergence and be adjusted into a convergence basin smoothly. Two simplified 2-D homogeneous reactor models, a PWR model, and an HTR model, are utilized to evaluate the performance of the newly proposed JFNK method. The results show that the performance of this proposed JFNK is more robust than the existing JFNK-based methods
Huaiqian Bao,Lijin Song,Zongzhen Zhang,Baokun Han,Jinrui Wang,Junqing Ma,Xingwang Jiang 대한기계학회 2023 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.37 No.9
This study proposes a framework for bearing remaining useful life (RUL) prediction that uses multidomain features and a dual-attention mechanism (DAM). First, sparsity measures are introduced as new feature parameters to comprehensively and accurately extract the degradation features of bearings. Second, a long short-term memory network integrated with DAM is applied for RUL prediction. DAM simultaneously applies the attention mechanism to the time steps and feature dimension to increase the attention to important information and enhance the prediction performance of the network. Third, a pseudo-normalization method is proposed to solve the problem of unknown bearing test data in actual working conditions under the premise of retaining the original data characteristics and RUL prediction accuracy as much as possible. Lastly, the proposed framework is experimentally proven on public datasets and compared with other methods to prove its feasibility and effectiveness.