Objectives This study aimed to examine the relationship between maternal conflict and psychological symptoms (depression and anxiety) as well as maternal role satisfaction among pregnant women. It ...

Background C-reactive protein (CRP) is commonly used to assess systemic inflammation, yet its prognostic value in acute ...

Objective Hypertrophic cardiomyopathy (HCM) is the most common inherited cardiomyopathy characterised by pathological left ...

Background Antimicrobial resistance (AMR) is an escalating global health crisis being worsened by climate change. Studies of ...

Methods: Multiple linear regression models were estimated using emergency care outcomes, elective care outcomes, and patient satisfaction as dependent variables. The adoption and user-perceived value ...

Objective Sarcopenia, defined by reductions in muscle mass and strength, increases the risk of adverse outcomes in patients with rheumatoid arthritis (RA)—driven in part by chronic inflammation—and is ...

Are you using this tool in your workflow? We’d love to learn more about your experience. Sharing your use case helps us improve the service for everyone. This project provides a powerful and flexible ...

Objectives To evaluate knowledge, attitudes and practices towards routine vaccination in the Lebanese population in the post-COVID-19 period, and to examine differences between COVID-19 vaccinated and ...

Background Sociodemographic inequalities impact patients with non-small cell lung cancer (NSCLC). Advances in novel ...

Introduction: The prevalence and risk factors for postoperative incisional hernia (IH) following cytoreductive surgery combined with hyperthermic intraperitoneal chemotherapy (CRS-HIPEC) remain ...

Abstract: Long-span bridges are the lifeline throats of urban transportation network. Deflection (i.e., deformation) behavior of long-span bridges is complex. It can be found from long-term monitoring ...

Abstract: Recent years have experienced phenomenal growth in computer-aided diagnosis systems based on machine learning algorithms for anomaly detection tasks in the medical image domain. However, the ...