Search

Solar-cell panels use sunlight as a source of energy to generate electricity. However, the performances of solar panels decline when they degrade, owing to defects. Some common defects in solar-cell panels include hot spots, cracking, and dust. Hence, it is important to efficiently detect defects in solar-cell panels and repair them. In this study, we propose a lightweight inception residual convolutional network (LIRNet) to detect defects in solar-cell panels. LIRNet is a neural network model that utilizes deep learning techniques. To achieve high model performance on solar panels, including high fault detection accuracy and processing speed, LIRNet draws on hierarchical learning, which is a two-phase solar-panel-defect classification method. The first phase is the data-preprocessing stage. We use the K-means clustering algorithm to refine the dataset. The second phase is the training of the model. We designed a powerful and lightweight neural network model to enhance accuracy and speed up the training time. In the experiment, LIRNet improved the accuracy by approximately 8% and performed ten times faster than EfficientNet. [ABSTRACT FROM AUTHOR]

The objective of this study was to investigate the therapeutic biological mechanism of Yisui Shengxue Granule (YSSXG), a complex Chinese medicine, on the hemolysis and anemia of erythrocytes from patient with thalassemia disease. Sixteen patients with thalassemia (8 cases of α-thalassemia and 8 cases of β-thalassemia) disease were collected and treated with YSSXG for 3 months. The improvements of blood parameter demonstrated that YSSXG had a positive clinical effect on patients with thalassemia disease. For patients with α-thalassemia disease, RT-PCR showed that YSSXG upregulated the relative mRNA expression level of α-globin to β-globin and downregulated DNMT1, DNMT3a, and DNMT3b mRNA compared with pretreatment. Western blotting showed that YSSXG downregulated the expression of DNMT1 and DNMT3a. For patients with β-thalassemia disease, the relative expression level of Aγ-globin to γ-globin had an increasing trend and the level of BCL11A mRNA expression obviously increased. For all patients, RT-PCR showed that YSSXG upregulated mRNA expression of SPTA1 and SPTB. Activities of SOD and GSH-Px significantly increased and MDA obviously reduced on erythrocyte and blood serum after YSSXG treatment. TEM showed that YSSXG decreased the content of inclusion bodies. Activities of Na+K+-ATPtase and T-ATPtase of erythrocyte increased significantly after YSSXG treatment. This study provides the basis for mechanisms of YSSXG on thalassemia suffering with hemolysis and anemia of erythrocytes from patient. [ABSTRACT FROM AUTHOR]