Application value of central venous-arterial carbon dioxide partial pressure difference in postoperative cognitive dysfunction in patients with acute aortic dissection.

Objective: This study aims to investigate the clinical application value of the central venous-arterial carbon dioxide partial pressure difference (Pv-aCO2) in postoperative cognitive dysfunction(POCD) in patients with acute aortic dissection.

Methods: A retrospective analysis was conducted on the general data of 236 patients. Blood gas samples were collected from the arterial and venous lines at various time points during the surgery, including before and after the initiation of cardiopulmonary bypass (CPB), immediately after CPB initiation, before and after deep hypothermic circulatory arrest, 30 min after rewarming, and 5 min before weaning from CPB.

A grid fault diagnosis framework based on adaptive integrated decomposition and cross-modal attention fusion.

In large-scale power systems, accurately detecting and diagnosing the type of faults when they occur in the grid is a challenging problem. The classification performance of most existing grid fault diagnosis methods depends on the richness and reliability of the data, in addition, it is difficult to obtain sufficient feature information from unimodal circuit signals. To address these issues, we propose a deep residual convolutional neural network (DRCNN)-based framework for grid fault diagnosis.

Study on the application of percutaneous closed pleural brushing combined with cell block technique in the diagnosis of malignant pleural effusion.

Introduction: This study was to investigate the diagnostic value of percutaneous closed pleural brushing (CPBR) followed by cell block technique for malignant pleural effusion (MPE) and the predictive efficacy of pleural fluid carcinoembryonic antigen (CEA) for epidermal growth factor receptor (EGFR) mutations in lung adenocarcinoma patients with MPE.

Methods: All patients underwent closed pleural biopsy (CPB) and CPBR followed by cell block examination. MPE-positive diagnostic rates between the two methods were compared.

Network analysis identifies a gene biomarker panel for sepsis-induced acute respiratory distress syndrome.

Background: Acute respiratory distress syndrome (ARDS) is characterized by non-cardiogenic pulmonary edema caused by inflammation, which can lead to serious respiratory complications. Due to the high mortality of ARDS caused by sepsis, biological markers that enable early diagnosis are urgently needed for clinical treatment.

Methods: In the present study, we used the public microarray data of whole blood from patients with sepsis-induced ARDS, patients with sepsis-alone and healthy controls to perform an integrated analysis based on differential expressed genes (DEGs) and co-expression network to identify the key genes and pathways related to the development of sepsis into ARDS that may be key targets for diagnosis and treatment.

The downregulation of miR-129-5p relieves the inflammatory response in acute respiratory distress syndrome by regulating PPARγ-mediated autophagy.

Background: The peroxisome proliferator-activated receptor γ (PPARγ) promotes autophagy and regulates the inflammatory response. However, the effects of the PPARγ on inflammation in acute respiratory distress syndrome (ARDS) are unclear. This study sought to explore the mechanism by which the downregulation of microRNA-129-5p (miR-129-5p) attenuates the inflammatory response in ARDS patients by regulating PPARγ-mediated autophagy.

A Statistical Damage Constitutive Model Based on the Weibull Distribution for Alkali-Resistant Glass Fiber Reinforced Concrete.

The addition of alkali-resistant glass fiber to concrete effectively suppresses the damage evolution such as microcrack initiation, expansion, and nucleation and inhibits the development and penetration of microcracks, which is very important for the long-term stability and safety of concrete structures. We conducted indoor flat tensile tests to determine the occurrence and development of cracks in alkali-resistant glass fiber reinforced concrete (AR-GFRC). The composite material theory and Krajcinovic vector damage theory were used to correct the quantitative expressions of the fiber discontinuity and the elastic modulus of the concrete.

Nonlinear Creep Damage Constitutive Model of Concrete Based on Fractional Calculus Theory.

Concrete creep has become one of the major problems that threatens concrete structural development and construction. However, a reasonable and accurate calculation model for numerical analysis is the key to control and solve the creep deformation of concrete. To better describe the concrete nonlinear creep damage evolution rule, the visco-elasticity Plasticity Rheological Theory, Riemann Liouville Theory and Combined Model Theory are quoted, and the Able dashpot is used to reconstruct fractional-order soft-body composite elements to propose the expression of the stress-strain relationship of the elastomer, visco-elasticity plasticity body, and Viscoplasticity body, considering the evolution of the concrete compression damage process.