Taguchi-based optimisation of FSW parameters for advancement in aerospace materials: Al-Li 2060 alloy.

Aluminium-lithium (Al-Li) 2060 alloy, a 3rd generation Al-Li alloy, is considered a structural material for aircraft components. This study employs the Friction Stir Welding (FSW) process with a kinematic 5-axis robotic arm to weld 4-mm-thick plates of 2060-T8E30 Al-Li alloy. The focus is on the impact of tool axial force and speeds on the microstructural evolution, mechanical properties, and surface integrity of the welded joints.

Implications of an Off-Hours Setting in Patients Undergoing Transcatheter Edge-to-Edge Repair for Mitral Regurgitation.

Background: - Little is known about mitral transcatheter edge-to-edge repair (TEER) performed outside of usual working hours. We aimed to explore the prevalence, correlates, and outcomes of mitral TEER initiated off-hours, i.e.

Functional and Oncological Outcomes of Very Large Prostate Sizes Post Robotic Radical Prostatectomy: A Propensity Score-Matched Analysis.

Background: Robotic-assisted radical prostatectomy (RARP) is widely used as the main surgical approach to treat prostate cancer in the United States. Prostate size is often described as a factor affecting the outcomes of RARP as shown by many studies. However, these studies are limited to a small number of patients.

Health-Promoting Behaviors in Male Patients with Opioid Use Disorder: An Exploratory Study.

Health-promoting lifestyle and behaviors play a crucial role in the prognosis of an illness as well as in healing. With the significant global burden of unhealthy lifestyle choices, their impact on individuals with substance use disorders can be particularly burdensome, hampering overall well-being. This study assesses health-promoting lifestyle and behavior and dietary habits among treatment-seeking male patients with opioid use disorders.

A machine learning approach to automate microinfarct and microhemorrhage screening in hematoxylin and eosin-stained human brain tissues.

Microinfarcts and microhemorrhages are characteristic lesions of cerebrovascular disease. Although multiple studies have been published, there is no one universal standard criteria for the neuropathological assessment of cerebrovascular disease. In this study, we propose a novel application of machine learning in the automated screening of microinfarcts and microhemorrhages.