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This study investigated the corrosion behavior of steel rebar in foamed concrete and the effects of water-cement ratio, fly ash, and fiber on reinforced foamed concrete’s corrosion rate and crack width. It was found that the corrosion rate of steel rebar and crack width of foamed concrete increased slowly with time and then developed rapidly, finally growing slowly. The higher the density of foamed concrete, the stronger the corrosion resistance of steel rebar. The best corrosion resistance of steel rebar in foamed concrete is achieved when the water-cement ratio is 0.5, fly ash and fiber are 20% and 0.6%, respectively.

The main contribution of this paper is to improve the existing deficiencies of the current feature-based robot localization algorithms. Since most feature-based robot localization algorithms use only grayscale images for features extraction and matching, which ignore the rich color information in the image and result in a low correct matching rate of features. In view of this problem, this paper proposes a colored ORB feature extraction algorithm, which can effectively improve the matching rate of features. In addition, the method of parameterizing features using XYZ coordinates in European space may lead to the ill-conditioned of optimization algorithms. In this paper, the method of parameterizing features based on parallax angle can effectively avoid the ill-condition of the objective function. Even when the feature is far away from the camera of robot, the convergence speed of the optimization algorithm is quite fast. It is shown in the simulation experiment that compared with the traditional localization algorithm based on ORB feature, the matching efficiency of the features of this algorithm is improved by about 12.5%. The average absolute trajectory error of the robot localization is 0.01034m, which can meet certain practical needs.

Transcatheter arterial chemoembolization (TACE) is the first-line treatment for unresectable hepatocellular carcinoma (HCC). Postoperative follow-up helps to determine tumor survival and necrosis timely and accurately and plays an important role in evaluating therapeutic outcome, guiding future treatment, and reducing pain. This article introduces the application of functional magnetic resonance imaging, including magnetic resonance spectroscopy, magnetic resonance perfusion weighted imaging, diffusion weighted magnetic resonance imaging, intravoxel incoherent motion, and blood oxygen level-dependent magnetic resonance imaging, in observing the changes in metabolism, blood flow, energy, and blood oxygen in tumor cells and points out that functional magnetic resonance imaging has promising prospects in evaluating the therapeutic effect of TACE in HCC.

The detecting of foreign fiber may not be very effective, particularly around the detection zone where many types of foreign fibers may coexist. In order to eliminate the fibers more effectively, a model has been established to detect foreign fiber faults in yarn. Relevant data were collected through investigation of a number of standard samples, with the length and area of foreign fibers as the independent variables, and the number of defects as the dependent variable, which were combined using linear regression theory to establish a regression equation for different fiber defects. The equations to find the regression coefficients, which include the model fitting degree, the Durbin–Watson value, the standard error, and the Cook distance, were rigorously tested, and the regression equation was eventually compiled to produce the yarn faults model. When the fiber detection equipment recognizes fibers with a foreign profile, the calculated profile fiber size is used in a corresponding regression equation whi...