Abstract To study the variation law of static tensile properties and damage mechanism of fiber metal laminates, this paper conducted static tensile tests on six types of GLARE specimens. During the testing process, the full-field strain data of the specimen were captured using Digital Image Correlation technology. A comparative analysis was conducted on the elastic modulus, tensile strength, stress-strain curve, and Poisson's ratio change curve. The fracture morphology of the specimen, strain cloud map before final fracture, and the process of strain difference formation were compared and analyzed. The results show that the bridging effect of fibers needs to be properly considered when using the hybrid model method to predict the tensile strength of the ±45°fiber-metal laminates. The role of the prepreg layer in the GLARE sample gradually increases after the metal material yields. For the same type of prepreg, the damage forms in different layers of the board are not exactly the same. Using the DIC method is helpful to study the damage process and boundary effects inside the fiber metal laminate. laminates specimens fullfield full field technology modulus stressstrain stress curve Poissons Poisson s analyzed ±45°fibermetal 45fibermetal fibermetal ±45°fiber 45 yields laminate 45fiber 4

Abstract Purpose To investigate the association between serum bilirubin levels and in-hospital Major Adverse Cardiac Events (MACE) in patients with ST-segment Elevation Myocardial Infarction (STEMI) undergoing primary Percutaneous Coronary Intervention (PCI). Methods A total of 418 patients with STEMI who underwent primary PCI were enrolled from October 1st, 2021 to October 31st 2022. The average age of enrolled participants was 59.23 years, and 328 patients (78.50%) were male patients. Patients were divided into MACE (patients with angina pectoris after infarction, recurrent myocardial infarction, acute heart failure, cardiogenic shock, malignant arrhythmias, or death after primary PCI) (n = 98) and non-MACE (n = 320) groups. Univariate and multivariate logistic regression analyses were performed to estimate the association between different bilirubin levels including Total Bilirubin (TB), Direct Bilirubin (DB), Indirect Bilirubin (IDB), and risk of in-hospital MACE. The area under the Receiver Operating Characteristic (ROC) curve was used to determine the accuracy of bilirubin levels in predicting in-hospital MACE. Results The incidence of MACE in STEMI patients increased from the lowest to the highest bilirubin tertiles. Multivariate logistic regression analysis showed that increased total bilirubin level was an independent predictor of in-hospital MACE in patients with STEMI (p for trend = 0.02). Compared to the first TB group, the ORs for risk of MACE were 1.58 (95% CI 0.77‒3.26) and 2.28 (95% CI 1.13‒4.59) in the second and third TB groups, respectively. The ROC curve analysis showed that the areas under the curve for TB, DB and IDB in predicting in-hospital MACE were 0.642 (95% CI 0.578‒0.705, p < 0.001), 0.676 (95% CI 0.614‒0.738, p < 0.001), and 0.619 (95% CI 0.554‒0.683, p < 0.001), respectively. Conclusions The current study showed that elevated TB, DB, and IDB levels are independent predictors of in-hospital MACE in patients with STEMI after primary PCI, and that DB has a better predictive value than TB and IDB. inhospital hospital (MACE STsegment ST segment (STEMI PCI. . (PCI) 41 1st st 202 2022 5923 59 23 59.2 years 32 78.50% 7850 78 50 (78.50% infarction failure shock arrhythmias n 98 nonMACE non 320 groups , (TB) (DB) IDB, (IDB) (ROC tertiles 0.02. 002 0.02 0 02 0.02) group 158 1 58 1.5 95% 95 (95 0.77‒3.26 077326 77 3 26 228 2 28 2.2 1.13‒4.59 113459 13 4 respectively 0642 642 0.64 05780705 578 705 0.578‒0.705 0.001, 0001 0.001 001 0.001) 0676 676 0.67 06140738 614 738 0.614‒0.738 0619 619 0.61 05540683 554 683 0.554‒0.683 (PCI 20 592 5 59. 78.50 785 7 (78.50 9 (TB (DB (IDB 00 0.0 15 1. (9 0.77‒3.2 07732 22 2. 1.13‒4.5 11345 064 64 0.6 0578070 57 70 0.578‒0.70 000 0.00 067 67 0614073 61 73 0.614‒0.73 061 0554068 55 68 0.554‒0.68 78.5 (78.5 0. ( 0.77‒3. 0773 1.13‒4. 1134 06 6 057807 0.578‒0.7 061407 0.614‒0.7 055406 0.554‒0.6 78. (78. 0.77‒3 077 1.13‒4 113 05780 0.578‒0. 06140 0.614‒0. 05540 0.554‒0. (78 0.77‒ 07 1.13‒ 11 0578 0.578‒0 0614 0.614‒0 0554 0.554‒0 (7 0.77 1.13 057 0.578‒ 0.614‒ 055 0.554‒ 0.7 1.1 05 0.578 0.614 0.554 0.57 0.55 0.5