Grasping detection of dual manipulators based on Markov decision process with neural network.

With the development of artificial intelligence, robots are widely used in various fields, grasping detection has been the focus of intelligent robot research. A dual manipulator grasping detection model based on Markov decision process is proposed to realize the stable grasping with complex multiple objects in this paper. Based on the principle of Markov decision process, the cross entropy convolutional neural network and full convolutional neural network are used to parameterize the grasping detection model of dual manipulators which are two-finger manipulator and vacuum sucker manipulator for multi-objective unknown objects. The data set generated in the simulated environment is used to train the two grasping detection networks. By comparing the grasping quality of the detection network output the best grasping by the two grasping methods, the network with better detection effect corresponding to the two grasping methods of two-finger and vacuum sucker is determined, and the dual manipulator grasping detection model is constructed in this paper. Robot grasping experiments are carried out, and the experimental results show that the proposed dual manipulator grasping detection method achieves 90.6% success rate, which is much higher than the other groups of experiments. The feasibility and superiority of the dual manipulator grasping detection method based on Markov decision process are verified.

Protective effects of Cu/Zn-SOD and Mn-SOD on UVC radiation-induced damage in NIH/3T3 cells and murine skin.

Superoxide dismutase (SOD) is an antioxidant enzyme with multiple metal cofactors that can specifically clear reactive oxygen species (ROS), which plays an important role in a variety of ultraviolet-induced lesions. Therefore, SOD has the anti-ultraviolet radiation effect. The objective of this study was to compare the differences in the anti-ultraviolet radiation effect of SOD with distinct metal cofactors: Cu/Zn-SOD and Mn-SOD. SOD was first purified using hydrophobic interaction chromatography and ion-exchange chromatography. Second, the Methylthiazolyldiphenyl-tetrazolium bromide method and cell senescence kits were used to study the protective effect of SOD on ultraviolet-induced cell damage. Finally, the protective effect of SOD on ultraviolet -induced skin damage was histopathologically evaluated, and the expression levels of malondialdehyde (MDA) and matrix metalloproteinases (MMPs) in tissues were detected. The results showed that Cu/Zn-SOD was superior to Mn-SOD in promoting cell proliferation, alleviating cell damage, protecting skin structure, and regulating the expression levels of MDA and MMPs, and it has no side effects. In conclusion, Cu/Zn-SOD had a better anti-ultraviolet radiation effect than Mn-SOD, and it can be used in anti-aging and anti-ultraviolet skin-care products.

MiR-129-5p Inactivates NF-κB Pathway to Block Rheumatoid Arthritis Development via Targeting BRD4.

Methods: The abundance of miR-129-5p was detected in the samples including normal tissues and RA tissues and cell lines including human fibroblast-like synoviocytes (hFLSs) and human rheumatoid arthritis fibroblast-like synoviocytes (RA-FLSs). The CCK-8 assay, flow cytometry, Transwell, and ELISA were used to observe the effects of miR-129-5p on the phenotype of RA-FLSs. Moreover, the potential targets of miR-129-5p were identified with TargetScan and dual-luciferase reporter gene assay. Besides, the abundances of the proteins were analyzed with western blot. Results: Decreased miR-129-5p was observed in RA tissues and cells. Increased miR-129-5p obviously blocked the proliferation, inflammatory stress, and migration and remarkably promoted cellular apoptosis. Moreover, BRD4 was confirmed as targets of miR-129-5p, and BRD4 upregulation could partly rescue the inhibition of miR-129-5p on aggressive behaviors of RA-FLSs. Besides, the finding of this study also proved that upregulated miR-129-5p could impede the NF-κB pathway via targeting BRD4. Conclusion: This study suggests that miR-129-5p suppresses the activation of NF-κB pathway to block the progression of RA via targeting BRD4.

An Interactive Image Segmentation Method in Hand Gesture Recognition.

In order to improve the recognition rate of hand gestures a new interactive image segmentation method for hand gesture recognition is presented, and popular methods, e.g., Graph cut, Random walker, Interactive image segmentation using geodesic star convexity, are studied in this article. The Gaussian Mixture Model was employed for image modelling and the iteration of Expectation Maximum algorithm learns the parameters of Gaussian Mixture Model. We apply a Gibbs random field to the image segmentation and minimize the Gibbs Energy using Min-cut theorem to find the optimal segmentation. The segmentation result of our method is tested on an image dataset and compared with other methods by estimating the region accuracy and boundary accuracy. Finally five kinds of hand gestures in different backgrounds are tested on our experimental platform, and the sparse representation algorithm is used, proving that the segmentation of hand gesture images helps to improve the recognition accuracy.