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As deep seabed mining technology matures and global demand for key minerals grows, new requirements are being posed to environmental governance systems. However, given the urgent need to formulate the Regulations on Exploitation of Mineral Resources in the Area, China’s existing legal provisions on environmental governance of deep-sea mining are too principled to meet the needs of practice, thus hindering the goal of marine environmental protection. In response to the above dilemma, this paper proposes improvement suggestions from three perspectives: the licensing system of deep-sea mining, the environmental regulatory system for deep-sea mining, and the financial system of deep-sea mining. These suggestions aim to enhance the adaptability and effectiveness of China’s deep-sea mining environmental governance system.

Weft-knitted fabric is formed by interlocking loops, which results in an unstable and easily deformable structure. In particular, fancy weft-knitted fabric exhibits diverse structural variations and uneven distribution, leading to more prominent characteristics of instability and deformation. Achieving the desired pattern effect and dimensions often requires drawing multiple designs. In this work, to obtain the geometric model of fancy fabric, mesh-loop models with movement vectors are established based on the basic structure of four stitch types: plain stitch, tuck, float, and loop transfer. The cubic Catmull–Rom spline curves are used to fit the geometric centerline of the yarn. The movement vectors are used to represent the changes in the position of the key points of the standard loops in the fancy fabric, which are derived from the analysis of the pattern grid. A physical model is established based on the force analysis of the yarn, and the positions of yarn control points are determined by solving the Euler–Lagrange dynamic equations. Through iterative calculations, the deformation effects of the fabric are obtained, enabling the simulation of fancy weft-knitted fabric. The proposed algorithms were implemented using Visual C++. The reliability and accuracy of the simulation method are demonstrated by comparing the contours of the simulation results with the actual samples. [ABSTRACT FROM AUTHOR]

Hemophagocytic syndrome (HPS) is a rare disease in clinical practice, and there are often cases of delayed diagnosis. At present, researchers have applied 18F-FDG PET/CT in the differential diagnosis of HPS, but no consensus has been formed. Therefore, this study aims to systematically evaluate the application value of 18F-FDG PET/CT in the diagnosis of HPS patients. PubMed, Embase, Cochrane Library, Chinese National Knowledge Infrastructure (CNKI), Wangfang database (Wangfang), and Chinese Biomedical Network (CBM) were searched to collect the relevant studies of 18F-FDG PET/CT in the diagnosis of HPS. Data from the articles were screened and extracted for meta-analysis using Stata16.0 software. A total of 10 retrospective studies, including 300 patients, were included in this meta-analysis. The meta-analysis results showed that the pooled sensitivity was 0.82 (95% CI: 0.67–0.95), specificity was 0.72 (95% CI: 0.51–0.86), positive likelihood ratio was 2.89 (95% CI: 1.46–5.75), positive likelihood ratio was 0.25 (95% CI: 0.12–0.54), diagnostic odds ratio was 2.89 (95% CI: 1.46–5.75), and AUC was 0.84 (95% CI: 0.81–0.87). The SUVmax in the liver, spleen, lymph nodes, and bone marrow of HPS patients was greater than 2.5, and the SUVmax in the spleen, lymph nodes, and bone marrow of malignant HPS patients was higher than that of benign HPS patients. The difference was statistically significant (P < 0.05). According to the existing literature evidence, 18F-FDG PET/CT is an effective method for diagnosing HPS. [ABSTRACT FROM AUTHOR]