Implant waste and associated costs in trauma and orthopaedic surgery: a systematic review.

Purpose: Trauma and orthopaedic (T&O) surgery relies on medical implants and materials, often resulting in metalwork wastage (prosthesis, screws, nails, and plates). This places an economic strain on healthcare services and the environment. Our primary outcome is to quantify the implant wastage across the literature, and secondarily investigate the associated costs in this specialty.

Demographic, social and health system factors associated with maternal mortality in Pakistan: A nested case-control study.

Background: Pakistan has experienced a significant reduction in maternal mortality with a decline of 33 percent between 2006 and 2019. However, the country still grapples with a high number (186 per 100,000 live births) of maternal deaths each year. This study aims to identify socio-demographic and health system related factors associated with maternal mortality.

Hybrid bagging and boosting with SHAP based feature selection for enhanced predictive modeling in intrusion detection systems.

The novelty and growing sophistication of cyber threats mean that high accuracy and interpretable machine learning models are needed more than ever before for Intrusion Detection and Prevention Systems. This study aims to solve this challenge by applying Explainable AI techniques, including Shapley Additive explanations feature selection, to improve model performance, robustness, and transparency. The method systematically employs different classifiers and proposes a new hybrid method called Hybrid Bagging-Boosting and Boosting on Residuals.

Assessing Human Lung Pharmacokinetics Using Exhaled Breath Particles.

It remains challenging to quantify lung pharmacokinetics (PK) of a drug administered and targeted to act in the lung. Exhaled breath particles (PEx), which are generated when collapsed distal airways reopen during inhalation, offer a noninvasive way to access undiluted epithelial lining fluid (ELF). Therefore, it was the aim of this study to investigate whether PK data can be derived from PEx.

Unlocking the Therapeutic and Antimicrobial Potential of L. Seed Kernel Oil.

The L. (bitter apricot) is an apricot fruit tree categorized on the basis of the bitter taste of its seed kernel. In this study, the functional, medicinal, and therapeutic potential of bitter apricot seed kernel oil (BASKO) was evaluated.