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The fatigue cracking behavior in pre-corroded AA2024-T4 associated with three different levels of maximum stresses and stress ratios via three-dimensional digital image correlation (3D-DIC) was investigated. The spatial-temporal characteristic of crack initiation and propagation was visually displayed through strain field evolution, while the fracture morphology of determined key damage regions was further examined. Experimental results show that localized corrosion penetrated in the edges of specimens promotes fatigue crack initiation and affects crack nucleation location, accompanied with hydrogen embrittlement. Identified crack orientations (range 60°-68° from the loading direction) reveal that the early growth of fatigue crack can be described by KⅠ/KⅡ-mixed mode. Four typical failure modes (single crack fracture, multi-crack coalescence, multi-crack competition and multi-crack parallel growth) are observed and discussed.

Heart valve disease (HVD) is one of the common cardiovascular diseases. Heart sound is an important physiological signal for diagnosing HVDs. This paper proposed a model based on combination of basic component features and envelope autocorrelation features to detect early HVDs. Initially, heart sound signals lasting 5 minutes were denoised by empirical mode decomposition (EMD) algorithm and segmented. Then the basic component features and envelope autocorrelation features of heart sound segments were extracted to construct heart sound feature set. Then the max-relevance and min-redundancy (MRMR) algorithm was utilized to select the optimal mixed feature subset. Finally, decision tree, support vector machine (SVM) and k-nearest neighbor (KNN) classifiers were trained to detect the early HVDs from the normal heart sounds and obtained the best accuracy of 99.9% in clinical database. Normal valve, abnormal semilunar valve and abnormal atrioventricular valve heart sounds were classified and the best accuracy was 99.8%. Moreover, normal valve, single-valve abnormal and multi-valve abnormal heart sounds were classified and the best accuracy was 98.2%. In public database, this method also obtained the good overall accuracy. The result demonstrated this proposed method had important value for the clinical diagnosis of early HVDs.

The genus Rhodococcus is of considerable interest in recent years, stemming from their diverse applications in biodegradation, bioremediation, biotransformation and biosurfactant. Using Nocardia/Rhodococcus-Escherichia coli shuttle plasmid pNV18.1 as the backbone vector, we tested the driven efficiency of promoters Ptac and PlacZ of E. coli and Pami-1/Pami-2 of R. ruber in host R. rhodochrous ATCC 33278 by overexpression of nitrile hydratase. Results showed that the specific activity of nitrile hydratase per dry cell weight in engineered Rhodococcus strains driven by Ptac, Pami-1, Pami-2 and PlacZ was 7.5, 6.3, 5.3 and 1.8 times of that in the wild, respectively. It indicated that these promoters could be well recognized by RNA polymerase of Rhodococcus. We further expressed the beta-galactosidase reporter gene (lacZ) in R. ruber driven by promoter PlacZ. Results indicated that lacZ was an appropriate reporter gene for genetic or metabolic engineering research of Rhodococcus.