In order to study the deformation behavior of double arrowhead (DAH) auxetic metamaterials under different forces with different directions as well as the effects of the geometry parameters on the Poisson's ratio, this paper assembled an advanced researching method by combining the industrial design of SolidWorks software, the finite element analysis of Abaqus software and three-dimensional printed technology. Results show that the DAH structure expanded in the direction perpendicular to the force first and contracted with the strain increasing when it was pulled by the uniaxial force, no matter which direction the force is applied. Besides, the auxetic effect of the DAH structure under the tensile force in the X direction is longer than that under the tensile force in the Y direction. It is more resistant to compression when the DAH structure is subjected to transverse tensile forces than when it is subjected to longitudinal tensile forces. The angle of the V-shaped short truss has a significant impact on the negative Poisson's ratio of the DAH structure, while the angle of the V-shaped long truss angle has little influence on its auxetic performance. Specifically, the smaller the angles, the better the auxetic effect.

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Down jacket fabric is greatly important in determining the quality of a down jacket. In order to enrich the research on fabric handle, subjective and objective evaluations were made for down jacket fabrics that were less studied. The comprehensive handle evaluation system for fabrics and yarns (CHES-FY) can be used to evaluate the tactile handle of the fabric by accurately and efficiently measuring the basic mechanical properties of the fabric. Therefore, the CHES-FY was used to link the objective evaluation with the subjective handle, so as to effectively estimate the total handle value of the down jacket fabric. Fifty-two kinds of down jacket fabrics were objectively tested through measuring 17 extracted parameters, and principal component analysis was adopted to establish the five main handle characteristics of fullness, softness, stiffness, smoothness, looseness and tightness to characterize basic style of the down jacket fabrics. The results showed that the subjective and objective results were in good agreement. These characteristics can be used as indicators to characterize fabric performance, and the principal component expression to characterize fabric handle can better predict the handle characteristics of down jacket fabrics. This also proves that the CHES-FY can quickly and accurately obtain the fabric handle value, and can also evaluate the fabric quality level.

The main content in the paper aims to characterize the moisture transfer property of polytetrafluoroethylene (PTFE)/polyethylene terephthalate (PET) bi-layer complex fabric. Firstly, theoretical analyses of moisture permeability from the moisture transfer cup method and moisture resistance from the moisture resistance method were conducted, and the function between the two indexes was acquired. Results show that there is a negative correlation between moisture permeability and moisture resistance. The higher the moisture permeability of the fabric, the lower the moisture resistance. Then, in order to study relationship between moisture permeability and resistance, several PTFE/PET bi-layer complex fabrics were prepared, and a theoretical model of moisture resistance was constructed by the serial method so as to evaluate the relationship of the moisture transfer property between complex fabric and two components (PTFE film and PET fabric). Comparisons between theoretical and experimental results of moisture resistance of complex fabric were conducted, which demonstrated that the serial model was effective in characterizing the moisture transfer property of complex fabric assembled by membrane and fabric.

Although patients with renal collecting duct carcinoma (CDC) benefit from surgery, the value of cytoreductive nephrectomy (CNx) for the prognosis of patients with metastatic CDC remains unclear. Hence, in this study, we used data from Surveillance, Epidemiology, and End Results (SEER) registry to investigate the prognostic factors and the impact of CNx on the outcomes in patients with metastatic CDC. Data of 521 patients, diagnosed with CDC between 2000 and 2018, were retrieved from the SEER database. Kaplan–Meier method and log-rank tests were used to compare the survival differences between the CNx group and non-surgical group. Multivariate Cox regression analysis was used to identify the risk factors associated with overall survival (OS) and cancer-specific survival (CSS) for patients with metastatic CDC. Moreover, multivariate Cox regression analysis guided by directed acyclic graphs (DAG) was used to unfold the impact of CNx and chemotherapy on OS and CSS. 86 patients were identified to have metastatic CDC. The median OS and CSS time were 5 and 6 months, respectively. The OS rates at 1-, 2- and 5-years were 24.4%, 15.1% and 2.3%, respectively. Whereas, the CSS rates at 1-, 2- and 5-years were 27.0%, 17.9% and 2.8%, respectively. Old patients and those receiving CNx or chemotherapy exhibited better survival outcomes. The multivariate regression model identified non-surgical treatment as the only independent prognostic factor for both, OS and CSS. However, DAG-guided multivariate Cox regression model showed that both, CNx and chemotherapy, were associated with both, OS and CSS. Patients with metastatic CDC exhibited worse clinical outcomes. However, CNx improved the prognosis of patients with metastatic CDC. Additionally, surgical resection of visible lesions and suitable chemotherapy were identified as alternative treatment strategies.