Introduction: Sepsis remains a devastating disease with a high fatality rate in most nations. Heart failure accounts for around half of all deaths in sepsis patients. Because of the peculiarities of cardiac tissue, the specific mechanism of sepsis-induced cardiac dysfunction remains largely unknown. Objectives: The goal of this study was to develop a more complete understanding of the molecular pathways of septic cardiomyopathy by doing an integrated proteome and metabolomics analysis on a sepsis-infected mouse model. Methods: The CLP mice were utilized as a model in this study to investigate the impact of septic cardiomyopathy on the molecular changes in heart tissues through combining metabolomics and proteomics studies. Results: The present findings suggest that 118 proteins (75-upregulated and 43-downregulated) and 138 metabolites (124-upregulated and 14-downregulated) were significantly altered. Additionally, these compounds play a significant role in biological processes, such as platelet activation, mineral absorption, drug metabolism, terpenoid backbone biosynthesis, and butanoate metabolism. The comprehensive analysis discovered that prostaglandin H2, prostaglandin I2, thromboxane A2, and L-Glutamine might play essential roles in combating sepsis-induced heart dysfunction. Conclusions: Overall, this work adds to our understanding of the implications of sepsis-induced cardiac dysfunction and may lead to identifying novel potential biomarkers and a better understanding of sepsis pathophysiology.

Traditional deformation monitoring suffers from issues such as the point-based representation of surfaces and low measurement efficiency. Moreover, the majority of researchers study the deformation of slopes using methods such as 3S technology, synthetic aperture radar interferometry, distributed fiber optic sensing technology, etc. Based on this, a slope stabilization structure deformation monitoring method based on 3D laser scanning technology is proposed. First, with the slope stabilization structure of Caihong Road as the engineering background, point cloud data of the slope stabilization structure is obtained using a Trimble SX10 device. Second, the point deformation, overall deformation, and line deformation of the two-phase slope stabilization structure point cloud data are analyzed. Finally, the measurement accuracy of the 3D laser scanning technology is evaluated. The results show that the deformation analysis of points, lines, and surfaces can complement each other, thereby comprehensively assessing the situation of slope stabilization structure deformation. Moreover, the maximum displacement value in the deformation of points, lines, and surfaces is 8.52 mm, which does not exceed the standard, and 93.61% of the point deformation is between −0.76~0.92 mm, indicating that the slope stabilization structure is in a safe and stable state. The independent sample t-test has a test statistic of t = 2.074, verifying that the 3D laser scanning technology and the total station measurement accuracy are highly consistent and can meet the needs of actual engineering. The results of this study can provide a reasonable theoretical and methodological reference for analyzing similar engineering deformation monitoring in the future.

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The settlement of track in a railroad underpass project was studied by theoretical analysis and numerical simulation, based on the model of winkle beam on elastic foundation. Taking the settlement of roadbed as a nonlinear boundary condition, the control differential equation of the track large deformation settlement was established and solved by the Fourier series method; the numerical solution was obtained by establishing a numerical model based on an actual project and compared and analyzed with the series solution and cosine function solution. The correlation coefficients of the track settlement curves obtained from the series solution and the numerical solution were higher than those of the cosine function solution while the numerical solution with the maximum track settlement difference was only 0.8% of the maximum settlement of the track numerical solution. The accuracy of the series solution method is higher in this paper, and the track settlement curve obtained from theoretical calculation reflects and predicts the track settlement well when the track settlement cannot be measured directly.