Abstract: Quantifying the impact of design variables in aerodynamic design exploration can provide valuable insights to designers. Global sensitivity analysis (GSA) is a crucial tool in aerodynamic ...

UK winters are becoming significantly wetter mainly due to warming driven by human burning of fossil fuels releasing greenhouse gases into the atmosphere, a Newcastle University study reveals. The ...

The rbmi package is used for the imputation of missing data in clinical trials with continuous multivariate normal longitudinal outcomes. It supports imputation under a missing at random (MAR) ...

Sisvar is a statistical analysis system with a large usage by the scientific community to produce statistical analyses and to produce scientific results and conclusions. The large use of the ...

The 23-year ERSPC trial reveals that sustained, protocolized PSA testing lowers prostate cancer deaths and improves the benefit-to-harm ratio, supporting a shift toward risk-based, patient-centered ...

Abstract: Physics-informed neural networks (PINNs) offer a flexible framework for solving differential equations using physical constraints and data. This study focuses on second-order ...

Gaussian Graphical Models (GGMs) are a type of network modeling that uses partial correlation rather than correlation for representing complex relationships among multiple variables. The advantage of ...

Citrus species are recalcitrant to DNA extraction due to high levels of polysaccharides, polyphenols, and secondary metabolites that interfere with DNA yield and purity. This study presents an ...

The Canadian Substance Use Survey (CSUS) (previously the Canadian Alcohol and Drugs Survey) is conducted every other year by Health Canada (HC). It aims to collect data from people living in Canada to ...

Robotic-assisted proctectomy (RAP) has emerged as the predominant surgical approach for patients with rectal cancer in recent years; although good postoperative patient recovery with accurate ...