Research on Restoration Algorithm of Tomb Murals Based on Sequential Similarity Detection

Considering the problems of fuzzy repair and low pixel similarity matching in the repair of existing tomb murals, we propose a novel tomb mural repair algorithm based on sequential similarity detection in this paper. First, we determine the gradient value of tomb mural through second-order Gaussian Laplace operator in LOG edge detection and then reduce the noise in the edge of tomb mural to process a smooth edge of tomb mural. Further, we set the mathematical model to obtain the edge features of tomb murals. To calculate the average gray level of foreground and background under a specific threshold, we use the maximum interclass variance method, which considers the influence of small cracks on the edge of tomb murals and separates the cracks through a connected domain labelling algorithm and open and close operations to complete the edge threshold segmentation. In addition, we use the priority calculation function to determine the damaged tomb mural area, calculate the gradient factor of edge information, obtain the information entropy of different angles, determine the priority of tomb mural image repair, detect the similarity of tomb mural repair pixels with the help of sequential similarity, and complete the tomb mural repair. Experimental results show that our model can effectively repair the edges of the tomb murals and can achieve a high pixel similarity matching degree.

Green Synthesis of Clean Edge Graphene Nanosheets Using Natural Precursor

Graphene, a two-dimensional crystalline allotrope of carbon, has received greater attention from numerous researchers due to its excellent properties. Graphene could be produced by various techniques, each method has its advantages and disadvantages. In this research article, a novel method using agricultural waste rice husk as a precursor and chemical activation to produce few-layer graphene nanosheets was developed. Traditional approaches significant shortcomings and the environmental concern of agricultural waste have been eliminated. The synthesized material was characterized using FESEM, Raman Spectroscopy, X-Ray diffractometer, UV-Vis absorbance and FTIR analysis. FESEM analysis of the surface morphology revealed smooth edge few-layer graphene. The formation of sp2 hybridized atoms can be seen in XRD spectra at 26.3 degrees. The C=C stretching bonds detected at 1612 cm-1 wavelength are responsible for the graphitic structure.

Isolation and \(\textit{in vitro}\) cultivation of human urothelial cells from urine of patients

In clinical practice the number of urothelial cells collected by biopsy are limited and the procedure requires general anaesthesia. Therefore, in order to acquire enough urothelial cells for in vitro engineering of the urothelium, in this research we aim to isolate urothelial cells from human urine by an alternative, effective, low-cost and safe technique rather than using the indicated method. Sixty human urine samples had been collected from patients and volunteers, cells then were precipitated by centrifugation and cultured. Following the isolation process, these cells were characterized by the immunocytochemical method using some specific antibodies. There are 2 types of cells were successfully isolated from with different shape and morphology, one of them grew randomly while the others formed smooth-edge contours and cobblestone-like cell morphology. These cells were characterized by immunostaining with a specific marker, both of these cells were positive for urothelial marker cytokeratin 7. All these results were taken into consideration, the isolated cells were urothelial cells observed in the urine-derived cell population. These results will be used for in vitro studies in toxicological and clinical research, and it will be the premised research to determine the cell mechanical properties and then develop a promising method for early diagnosis of bladder cancer.

Effect of texturing on the longevity of high-density polyethylene (HDPE) geomembranes in municipal solid waste landfills

The effect of texturing (co-extrusion using blowing agent) on the longevity of a geomembrane (GMB) when immersed in synthetic municipal solid waste leachate is investigated over a ∼3 year period. Based on data at four temperatures (40, 55, 75, and 85 °C), the time to antioxidant depletion of the textured portion of a 1.5 mm core thickness high-density polyethylene (HDPE) GMB is 40% (standard oxidative induction time) and 9% (high-pressure oxidative induction time) faster compared to the 1.5 mm smooth edge of the GMB. However, despite this, stress crack resistance results show that texturing may have no significant effect on the time to nominal failure for this GMB. It is also shown that HDPE GMBs made from nominally the same resin but from different production lots have different rates of stress crack resistance degradation and hence time to nominal failure; this should be considered both in landfill design and landfill construction quality assurance.

Growth of U-Shaped Graphene Domains on Copper Foil by Chemical Vapor Deposition

U-shaped graphene domains have been prepared on a copper substrate by chemical vapor deposition (CVD), which can be precisely tuned for the shape of graphene domains by optimizing the growth parameters. The U-shaped graphene is characterized by using scanning electron microscopy (SEM), atomic force microscopy (AFM), transmission electron microscopy (TEM), and Raman. These show that the U-shaped graphene has a smooth edge, which is beneficial to the seamless stitching of adjacent graphene domains. We also studied the morphology evolution of graphene by varying the flow rate of hydrogen. These findings are more conducive to the study of morphology evolution, nucleation, and growth of graphene domains on the copper substrate.

Weather Radar Echo Super-Resolution Reconstruction Based on Nonlocal Self-Similarity Sparse Representation

Weather radar echo plays an important role in early warning and timely forecasting of severe weather. However, the radar echo may not be accurate enough to predict or analyze small-scale weather phenomenon due to the degradation of the observed radar. In order to solve this problem, some radar echo super-resolution reconstruction algorithms have been proposed, but the algorithm may result in an excessively smooth edge and detail in a local region. To reconstruct radar echo with better edges and finer details, a novel nonlocal self-similarity sparse representation (NSSR) model is proposed. The NSSR model is based on the sparse representation of weather radar echoes to better reconstruct the echo edge and detail information. We exploit the radar echo nonlocal self-similarity to recover more realistic details based on the NSSR model. Experiment results demonstrate that the proposed NSSR outperforms current general-purpose radar echo super-resolution approaches on both visual effects and objective radar echo quality.

Behavior of very high energy hadronic cross-sections

Analysis of the data for proton and antiproton scattering leads to a simple picture for very high energy hadronic cross-sections. There is, asymptotically, a simple “black disc” with a smooth “edge”. The radius of the “disc” is expanding logarithmically with energy, while the “edge” is constant. These conclusions follow from extensive fits to accelerator and cosmic ray data, combined with the observation that a certain combination of elastic and total cross-sections allows extraction of the “edge”. An interesting feature of the results is that the “edge” is rather large compared to the “disc”. This explains the slow approach to “asymptopia” where the “disc” finally dominates.

Edge control of graphene domains grown on hexagonal boron nitride

The edge control of graphene domains on hexagonal boron nitride (h-BN) is demonstrated by modifying the ratio of working-gases, demonstrating a potential approach to fabricate smooth-edge graphene ribbons on h-BN.