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Abstract Background and Aim A pyogenic liver abscess (PLA) is an infectious disease with high in‐hospital mortality. It has no specific symptoms and is difficult to be diagnosed early in the emergency department. Ultrasound is commonly used to detect PLA lesions of PLA, but its sensitivity can be affected by lesion size, location, and clinician experience. Therefore, early diagnosis and prompt treatment (especially abscess drainage) are crucial for better patient outcomes and should be prioritized by clinical physicians. Methods We conducted a retrospective study to compare the effect of early and late (i.e., receiving CT scanning within 48 h and >48 h after admission) adoption of nonenhanced computed tomography (CT) scanning regarding the hospitalization days and interval between admission and drainage of patients with PLA. Results This study included 76 hospitalized patients with PLA in the Department of Digestive Disease of Xiamen Chang Gung Hospital in China who underwent CT examinations from 2014 to 2021. We conducted CT scans on 56 patients within 48 h of admission and on 20 patients more than 48 h after admission. The early CT group had a significantly shorter hospitalization length compared with the late CT group (15.0 days vs. 20.5 days; P = 0.035). Besides, the median time to initiate drainage after admission was also significantly shorter in the early CT group than in the late CT group (1.0 days vs. 4.5 days; P

Mechanical memory elements cannot be accurately modeled using the Lagrangian method in the classical sense, since these elements are nonconservative in the plane of their non-constitutive relationships, and the system differential equations are not self-adjoint and therefore do not allow a Lagrangian formulation. To overcome this problem, the integrated Lagrangian modeling method is introduced, in which the associated conventional energies in the system are replaced by the corresponding memory state functions of the memory elements. An example, a vehicle shimmy system equipped with fluid mem-inerters, is presented to verify the improvement of modeling accuracy of mechanical systems with memory elements via the integrated Lagrangian method. The simulation results show that under pulse and random excitation, using the Lagrangian method to model the system, the values of system response indicators exhibit significant errors ranging from 5.17% to 24.54% compared with the values obtained by the integrated Lagrangian method, namely, the accurate values. In addition, the influencing factors of the error and are discussed and the fractional-order memory elements and their modeling are also briefly generalized.