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In this paper, a support vector machine (SVM) model which can be used to predict the compressive strength of mortars exposed to sulfate attack was established. An accelerated corrosion test was applied to collect compressive strength data. For predicting the compressive strength of mortars, a total of 638 data samples obtained from experiment was chosen as a dataset to establish a SVM model. The values of the coefficient of determination, the mean absolute error, the mean absolute percentage error and the root mean square error were used for evaluating the predictive accuracy. The main factors affecting the predicted compressive strength were obtained by sensitivity analysis. A SVM model was calibrated, validated, and finally established. Moreover, the performance of the SVM model was compared to an artificial neural network (ANN) model. Results show that the prediction values from the SVM model were close to the experimental values; the main factors sensitive to concrete compressive strength were exposure time, water-cement ratio and sulfate ions; the performance of the SVM model was better than the ANN model. The SVM model developed in this study can be potentially used for predicting the compressive strength of cement-based materials servicing in harsh environments.

Diabetic retinopathy (DR) is one of the most frequently occurring microvascular complications of diabetes. Recent evidence indicates that epidermal growth factor receptors (EGFRs) are critical pathogenic players in non-neoplastic diseases, including diabetic cardiomyopathy and DR. However, the precise pathogenic mechanism of EGFR in DR has yet to be fully understood. In this study, we developed a type 1 diabetic early-stage retinopathy mouse model using injections of streptozotocin and an oxygen-induced end-stage diabetic retinopathy (OIR) model characterized by hypoxia-induced revascularization. We tested the hypothesis that the pathogenesis of DR can be reduced by the classic EGFR inhibitor, AG1478, in the mouse models. Our data indicated that treatment of AG1478 prevented retinal dysfunction, and reduced impairment of retinal structures as well as mitochondrial structures in retinal blood vessels in diabetic mice. Furthermore, AG1478 reduced neovascular tufts formation but had no effects on revascularization at the avascular sites when compared to untreated littermates in the OIR model. Our findings provide strong evidence that EGFR critically promoted retinal dysfunction, retinal structural impairment, and retinal vascular abnormalities in models of DR. We conclude that EGFR can be a potential important therapeutic target for treatment of DR.

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This research investigated the self-healing potential of early age cracks in cement-based materials incorporating the bacteria which can produce carbonic anhydrase. Cement-based materials specimens were pre-cracked at the age of 7, 14, 28, 60 days to study the repair ability influenced by cracking time, the width of cracks were between 0.1 and 1.0 mm to study the healing rate influenced by width of cracks. The experimental results indicated that the bacteria showed excellent repairing ability to small cracks formed at early age of 7 days, cracks below 0.4 mm was almost completely closed. The repair effect reduced with the increasing of cracking age. Cracks width influenced self-healing effectiveness significantly. The transportation of CO2and Ca2+ controlled the self-healing process. The computer simulation analyses revealed the self-healing process and mechanism of microbiologically precipitation induced by bacteria and the depth of precipitated CaCO3 could be predicted base on valid Ca2+.