Erik Steiger discusses the operational pain of legacy PDF generation in regulated banking and manufacturing. He explains how ...

To harness biological systems (plants and microbes) for next-generation energy production and advanced materials, researchers ...

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

A new meta-analysis suggests that CBD may improve emotional behavior and cognition in animal models, but researchers caution ...

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

Through trend analyses, this surveillance highlighted both the emergence and decline of AMR across diverse bacterial pathogens, helping inform which antibiotics may remain appropriate as first-line ...

Introduction: Optimal ventilation during pediatric laparoscopic surgery is a debated issue, as pneumoperitoneum impairs respiratory mechanics and may increase ventilator-induced lung injury. Aim: We ...

Abstract: In this paper, an efficient hybrid reliability analysis (HRA) method and a hybrid reliability-based design optimization (HRBDO) approach are proposed for realistic complex engineering ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Objectives To assess the outcomes of patients undergoing open abdominal surgery at a National Referral Hospital in Tanzania. Design A prospective, observational, single-arm cohort study. Setting Dar ...

Objectives To derive sex-specific peak oxygen uptake (VO 2peak) reference equations for cycle ergometer cardiopulmonary exercise testing (CPET) that integrate estimations of lean body mass (eLBM) and ...