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The encryption design is partly based on the fractional chaotic system and DNA theory. First, the dynamic characteristics of the newly proposed fractional Lü chaotic system are analyzed, and based on the analysis, a multi-image encryption algorithm is proposed. That is, the Arnold scrambling algorithm is used to scramble the image matrix, and then the DNA encryption theory is used to diffuse the image matrix. Among them, the scrambling step and the diffusion step are based on the chaotic sequence, and the encrypted image is finally obtained. Finally, the new encryption algorithm is evaluated, and the results show that the key space of the new encryption algorithm is further expanded and is very sensitive to key changes. The algorithm can effectively destroy the correlation of the original image, and can resist various cracking attacks. In summary, the multi-image encryption algorithm proposed in this paper has good encryption performance and provides a theoretical basis for practical applications. By reading those labels, children's identity and other relevant information can be acquired. This method may help police to obtain information on lost children and find their family rapidly.

Based on 3D virtual fitting technology, this paper simulates and reproduces the fabric patterns and sewing processes of 12 characters’ costumes in different scenes on the basis of completing the archaeology of the characters’ costumes in the painting, so as to realize the 3D virtual sewing and digital simulation restoration of the characters costumes. This paper draws the style diagram, structure diagram and 3D virtual simulation diagram of the character costumes in the painting. The article further improves the research on the costumes of the Five Dynasties and Ten Kingdoms, which has a certain reference value for the study of ancient character costumes and the promotion of Chinese garment culture. At the same time, it provides a reference for the design of artistic works such as character costumes in film and television and games.

Vegetation dynamics are critical to the terrestrial carbon and water cycle, with China recognized as one of the largest contributors to global greening due to significant variations in forest coverage. However, distinguishing the effects of vegetation changes from those of climate factors on vegetation productivity remains challenging. This study conducted a comprehensive analysis of vegetation productivity in Northwest China over the past two decades, focusing on the spatiotemporal patterns and drivers of gross primary production (GPP) within ecological restoration areas. Using trend analysis and ridge regression models, we assessed the relative contributions of climate factors and vegetation coverage changes to GPP dynamics. The results revealed a significant increase in both the GPP and vegetation coverage in Northern China from 2001 to 2020, with GPP rising by 6.7 g C m−2 yr−1 and forest coverage increasing by 0.08% per year. A strong positive correlation (r = 0.9) was observed between vegetation coverage changes and GPP. The increase in GPP was driven by both climate factors and changes in forest coverage, with climate factors contributing 61.0% and vegetation coverage changes contributing 39.0%. Among the climate factors, radiation, temperature, and precipitation contributed 15.4%, 6.4%, and 39.2%, respectively. The study highlights the critical role of ecological restoration efforts, particular in regions like the Less Plateau and Inner Mongolian Plateau, in enhancing vegetation productivity. These findings provide valuable insights for addressing desertification and inform strategies for ecological restoration and sustainable development in Northern China. [ABSTRACT FROM AUTHOR]

The accumulation of petroleum contaminants in phytoremediating plants can significantly impact the decomposition of their litter. However, the mechanisms underlying these effects and the potential influence of the contaminant concentration remain unclear. In this study, litter from Artemisia annua plants grown in soil with varying concentrations of petroleum (0, 15, 30, and 45 g kg−1) was collected. The litter samples were then inoculated with soil microorganisms and subjected to an indoor simulation of decomposition under controlled temperature and humidity conditions. Changes in the chemical properties, activities of decomposition-related enzymes in the litter, and decomposition rates were measured. Additionally, structural equation modeling was employed to analyze the mechanism through which soil petroleum contamination affects litter decomposition. The findings revealed several key points: (1) increasing soil petroleum contamination tended to reduce the concentration of carbon and nitrogen in litter while increasing those of lignin and total petroleum hydrocarbons (TPH). (2) Soil petroleum contamination tended to increase the activities of both total lignocellulases and total nutrient cycling-related enzymes in litter. (3) Soil petroleum contamination might indirectly inhibit the activity of lignocellulases by increasing the concentration of lignin and TPH in litter. However, it might also directly accelerate the activity of these enzymes, resulting in contradictory effects on litter decomposition. (4) Finally, A. annua litter produced in soil contaminated with 15 and 30 g kg−1 of petroleum exhibited significantly lower decomposition rates than that from uncontaminated soil. [ABSTRACT FROM AUTHOR]