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Objective The co-structure system of subway station (hereinafter referred to as 'co-structure system') realizes the connection and conversion between the box structure and the box frame structure through thick plates. Due to the unique structural form of the co-structural system, its seismic response law is currently unclear, further study on the characteristics of its seismic response is needed. Method Taking the co-structure system of a comprehensive utility tunnel and subway station as an example, the finite element simulation model of soil-co-structure system interaction is established. Considering one-way and two-way seismic waves (both horizontal and vertical) as inputs, three working conditions are selected. The acceleration response characteristics, displacement response characteristics, compressive and tensile damage situations, and the evolution process of the co-structure system under seismic action are analyzed. Taking the left column end of the co-structure system as an example, the internal force response characteristics of some structural parts are discussed. Result & Conclusion The vertical acceleration of the co-structure system is greatly affected by the bidirectional coupling ground motion. The maximum increase in acceleration at the joint between the side wall and the negative first floor slab reaches 158 % (compared with the vertical ground motion). Vertical ground motion may increase the relative horizontal and relative vertical displacements in the roof and floor of the co-structure system, and the internal force response of the column as well. Locations of the co-structure system such as the column ends, the lower part of the side wall, both ends of the bottom plate, the connection of the components, and the axillary angle are vulnerable to seismic damage, and should be strengthened accordingly.

Background Major hepatectomy for liver malignancies carries with large risks. Perioperative nutritional support plays a vital role for postoperative recovery. However, there are few studies focusing on predictions of postoperative complications and prognosis using postoperative loss of skeletal muscle mass (PLSMM) in acute stage after major hepatectomy. Objective To identify the change inskeletal muscle index (SMI), and to investigate risk factors for PLSMM, as well as its correlation with postoperative complications after major hepatectomy for liver cancer. Methods A total of 97 patients who received major hepatectomy for liver cancer from Department of General Surgery, the Second Affiliated Hospital of Soochow University between July 2018 and August 2022 were included. The preoperative and postoperative day 5 skeletal muscle area at the third lumbar vertebra level was measured, respectively, using computed tomographic images. The postoperative change rate of SMI was calculated. The PLSMM was defined as the lowest tertile of the percent change in SMI, according to which the patients were divided into PLSMM and Non-PLSMM group. Baseline data, surgical and postoperative indices were collected and analyzed. Results SMI was decreased in 54 patients postoperatively. Thirty-two and 65 patients were assigned to the PLSMM group (SMI≤-3.59%) and Non-PLSMM groups (SMI>-3.59%), respectively. Compared with Non-PLSMM group, PLSMM group had longer operation time, more intraoperative blood loss and higher ratio of microvascular invasion (MVI) (P210 min〔OR=1.973, 95%CI (1.286, 4.936) 〕were risk factors associated with PLSMM (P210 min〔OR=2.958, 95%CI (0.918, 9.529) 〕 and blood loss >500 mL〔OR=1.003, 95%CI (1.001, 1.007) 〕 were risk factors associated with postoperative complications (P210 min were risk factors associated with PLSMM. PLSMM was the independent predictor of postoperative complications, which negatively affected postoperative outcomes after major hepatectomy.

Intelligent instrumentation plays a crucial role in industrial applications, with its measurement accuracy and reliability directly influencing operational efficiency. This article presents the integration of the HART communication protocol to enhance data transmission within smart instruments, focusing on internal structure and process control optimization. A HART smart instrument multiplexer system is established, utilizing an analog PID control algorithm for data regulation and optimal control techniques for automatic parameter adjustment. Additionally, the three-parameter Weibull distribution is employed to assess the reliability of smart meters, deriving distribution characteristics and estimating parameters through failure rate analysis. The performance of the designed HART smart meter multiplexer system is thoroughly evaluated, including control performance, reliability, channel function, and measurement accuracy. Notably, the system demonstrates a minimal overshoot in analog PID control at 0.911%, with a steady-state error range of -5°C to 4°C. Furthermore, the implementation of this system significantly reduces the risk of hazardous failures by 41.91%. In conditions of 350°C temperature and 1.2MPa pressure, the system accurately measures superheated steam flow with a relative error of only 0.05%. By optimizing the settings of smart instruments, this system not only enhances measurement accuracy in industrial production but also improves reliability, supporting diverse applications in the chemical industry.

The top deadly cancer sites in terms of global deaths are lung， stomach， liver， breast and colon cancers. In recent years， more and more studies have shown that cancer-related inflammation plays a crucial role in the development and prognosis of the cancer， such as neutrophil-lymphocyte ratio， monocyte-lymphocyte ratio and platelet-lymphocyte ratio. In 2014， the systemic immune inflammatory index （SII） was first defined. SII combined with peripheral platelets， lymphocytes and neutrophils serves as a comprehensive prognostic parameter， which reflects the balance of immune status and host inflammation more comprehensively than a single inflammatory index. Furthermore， it shows obvious advantages in predicting cancer prognosis. In this article， the application of SII in the prognosis of five common solid cancers was reviewed， aiming to provide the basis for clinical evaluation of cancer prognosis.