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To investigate the difference in the comprehensive quality of free amino acids (FAA) in crayfish meat from different co-culture modes, the FAA composition of crayfish tail meat from three representative co-culture modes in Xinghua city of Jiangsu province was determined, and the contribution of FAA to the taste of crayfish meat was evaluated by computing the taste active value (TAV). Comprehensive evaluation of FAA in crayfish meat was performed using principal component analysis (PCA) and cluster analysis. The results showed that 17 amino acids were found in crayfish meat from each co-culture mode, and the total amount of FAA was 21.80–27.11 mg/g. Arginine (Arg) was the most abundant FAA in all samples, accounting for 55.64%–67.76% of the total FAA, which was much more abundant than the other amino acids. Moreover, Arg contributed the most to the taste of crayfish meat. The TAV of the sweet amino acid alanine (Ala) and the bitter amino acid histidine (His) in crayfish were greater than 1 for all co-culture modes, indicating that both amino acids contributed to the taste of crayfish meat. The TAV of glutamic acid (Glu) as the amino acid with the strongest umami taste was greater than 1 only in crayfish meat from rice-crayfish mode with one-rice and two-crayfish in a field (RC2). Three principal components were extracted for the 17 amino acids, which cumulatively explained 89.937% of the total variance and could reflect the comprehensive information of amino acids in crayfish meat. The results of PCA showed that RC2 ranked first, and crayfish-crab mode (CC1) ranked last. The hierarchical cluster analysis divided crayfish meat from different co-culture modes into three categories. Similar results were obtained by PCA. This study demonstrated that the comprehensive quality of FAA in crayfish from rice-crayfish co-culture mode was better than that in crayfish from the other co-culture modes.

Anomaly detection in unlabeled and highly imbalanced monitoring data is one of the most urgent to be solved and challenging industry problems. The use of autoencoders for anomaly detection is becoming more and more popular due to the powerful high-dimensional data analysis capabilities of autoencoders. A new anomaly detection method is developed base on O-DAE（optimized deep autoencoder） and SVDD（support vector data description）. Firstly， to make the training model hardly learns the features of abnormal samples， a sample screening mechanism is established to remove abnormal samples in the unlabeled training set. Secondly， the hidden features and reconstruction errors of the autoencoder are used as the final feature data for anomaly detection. Finally， the deep learning methods with different architectures are studied and compared， the experiments on the actual operation data of a steam turbine are conducted， and the detection abnormity is described combining with the support vector data. Compared with the traditional anomaly detection method， the anomaly detection accuracy of this method is improved by 50%， which can realize more sensitive and robust unsupervised anomaly detection of equipment performance for steam turbines.

A model-free control method based on iterative learning law combined with adaptive super-twisting is proposed to realize the synchronous coordination control of multi-lift overhead crane system for the problems of inaccurate modeling, system parameter variation, and disturbance uncertainty that exist in multi-lift overhead crane system. First, a load-coupling model of the double-container overhead crane considering the deformation tangential force in the interlocking mode is established. Second, a time-varying sliding mode surface (TSMC) designed using nonlinear functions effectively improves the convergence speed of the system state. The method of iterative learning control is introduced to compensate the system dynamics to achieve model-free control, and the dynamic iterative learning control (DILC) is designed to improve the convergence speed of the error of the system and the steady-state performance. To suppress uncertainty disturbances and avoid control gain overestimation, an adaptive gain is added to the generalized super-twisting algorithm, which has the advantages of both finite-time convergence and chattering suppression, and improves the robustness and tracking performance of the multi-lift overhead crane system. The stability of the controlled system is analyzed using Lyapunov stability theory. The simulation experiments illustrate the effectiveness of the proposed synchronization control scheme. [ABSTRACT FROM AUTHOR]

The aim of the present study was to investigate the protective effect of S-ketamine (S-KET) against carbon tetrachloride (CCl4)-induced liver damage and oxidative stress, as well as to elucidate the related underlying mechanisms. Blood was collected to measure biochemical parameters (alanine transaminase (ALT), aspartate transaminase (AST), alkaline phosphatase (ALP), total bilirubin (TB) and [gamma]-glutamyltransferase ([gamma]-GT)) and the liver was harvested for histopathological analysis of enzymes related to the antioxidant response (malondialdehyde (MDA), superoxide dismutase (SOD), glutathione (GSH), and glutathione peroxidase (GSH-PX)). Liver cell apoptosis was evaluated using the TUNEL assay. In addition, the expression levels of apoptosis-related proteins and the nuclear factor erythroid 2-related factor 2 (Nrf2)/heme oxygenase-1 (HO-1) signaling pathway were detected by Western blot analysis to explore potential mechanisms. S-KET protected the liver from CCl4-induced damage. The changes to the liver biochemical parameters (increased ALT, AST, ALP, TB, and [gamma]-GT) and oxidative stress-related indicators (increased MDA; depleted SOD, GSH, and GSH-PX) induced by CCl4 were inhibited by S-KET. S-Ket also inhibited CCl4-induced cell apoptosis, the changes in expression of related proteins, and blocked CCl4-induced liver injury and oxidative stress via activation of the Nrf2/HO-1 signaling pathway. S-KET effectively protected the liver by inhibition of CCl4-induced damage via upregulation the Nrf2/HO-1 signaling pathway. Key words: S-ketamine, liver injury, inflammatory response, oxidative stress, Nrf2/HO-1 signaling pathway. Cette etude portait sur l'effet protecteur de la S-ketamine (S-KET) contre les dommages hepatiques provoques par le tetrachlorure de carbone (CCl4) et le stress oxydatif, ainsi que les modes d'action sous-jacents. Nous avons preleve du sang en vue de mesurer des parametres biochimiques (ALT, AST, phosphatase alcaline, bilirubine totale et [gamma]-GT) et le foie en vue d'epreuves histopathologiques d'enzymes liees a la reaction antioxydante (MDA, SOD, GSH, and GSH-PX). Nous avons evalue l'apoptose des cellules hepatiques a l'aide de l'epreuve de TUNEL. De plus, nous avons etudie les taux d'expression de proteines liees a l'apoptose et la voie de signalisation Nrf2/HO-1 a l'aide de l'immunobuvardage de Western en vue d'explorer les modes d'action eventuels. La S-KET permettait de proteger le foie contre les dommages provoques par le CCl4. Les variations des parametres biochimiques hepatiques (hausse de l'ALT, de l'AST, de la phosphatase alcaline et des [gamma]-GT) et des indicateurs du stress oxydatif (hausse du MDA; depletion en SOD, GSH et GSH-PX) provoques par le CCl4 pouvaient etre inhibees par la S-KET. La S-KET entrainait aussi une inhibition de l'apoptose cellulaire engendree par le CCl4 et des variations de l'expression des proteines qui y sont liees, avec une attenuation des lesions hepatiques provoquees par le CCl4 de meme que du stress oxydatif par l'intermediaire de l'activation de la voie de signalisation Nrf2/HO-1. La S-KET permettait de proteger le foie efficacement par l'inhibition des dommages provoques par le CCl4 par l'intermediaire de la regulation a la hausse de la voie de signalisation Nrf2/HO-1. [Traduit par la Redaction] Mots-cles: S-ketamine, lesions hepatiques, reaction inflammatoire, stress oxydatif, voie de signalisation Nrf2/HO-1., Introduction Liver injury and disease threaten human health and quality of life (Hoek and Pastorino 2002; Peng et al. 2018). Oxidative stress due to frequent exposure to detrimental environmental factors, [...]