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Background: Recent research has revealed the potential value of machine learning (ML) models in improving prognostic prediction for patients with trauma. ML can enhance predictions and identify which factors contribute the most to posttraumatic mortality. However, no studies have explored the risk factors, complications, and risk prediction of preoperative and postoperative traumatic coagulopathy (PPTIC) in patients with trauma.

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Background: There are gaps in our understanding of the clinical characteristics and disease burden of the respiratory syncytial virus (RSV) among community-dwelling adults. This is in part due to a lack of routine testing at the point of care. More data would enhance our assessment of the need for an RSV vaccination program for adults in the United Kingdom.

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Background: An aging population in combination with more gentle and less stressful surgical procedures leads to an increased number of operations on older patients. This collectively raises novel challenges due to higher age heavily impacting treatment. A major problem, emerging in up to 50% of cases, is perioperative delirium.

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Importance: In the US, traumatic injuries are a leading cause of mortality across all age groups. Patients with severe trauma often require time-sensitive, specialized medical care to reduce mortality; air transport is associated with improved survival in many cases. However, it is unknown whether the provision of and access to air transport are influenced by factors extrinsic to medical needs, such as race or ethnicity.

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Revisiting the in-plane and in-channel diffusion of lithium ions in a solid-state electrolyte at room temperature through neural network-assisted molecular dynamics simulations.

Phys Chem Chem Phys

January 2025

Guizhou Provincial Key Laboratory of Computing and Network Convergence, School of Information, Guizhou University of Finance and Economics, Guiyang, Guizhou 550025, P. R. China.

Developing superionic conductor (SIC) materials offers a promising pathway to achieving high ionic conductivity in solid-state electrolytes (SSEs). The LiGePS (LGPS) family has received significant attention due to its remarkable ionic conductivity among various SIC materials. molecular dynamics (AIMD) simulations have been extensively used to explore the diffusion behavior of Li ions in LiGePS.

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