Discover how Monte Carlo analysis helps investors assess risk and make informed decisions. Explore its role in generating ...

Background A more nuanced understanding of behavioural responses to incentives over time, particularly after they are removed, could guide more effective interventions. In this study, we build on the ...

An international research team used high-resolution electroluminescence imaging to quantify type-C cracks in 100 PV modules after 11 years of operation, linking crack distribution to real-world power ...

Introduction Dyspnoea is an existentially burdensome symptom in patients with advanced and progressive diseases such as cancer, chronic obstructive pulmonary disease (COPD) and advanced heart failure.

Bayes' theorem is a statistical formula used to calculate conditional probability. Learn how it works, how to calculate it ...

Objective This study focused on the preferences for psychological assistance and associated factors among Chinese healthcare workers (HCWs) during the COVID-19 pandemic. Design Cross-sectional ...

The global oil condition monitoring market is projected to grow, driven by the adoption of predictive maintenance, industrial ...

Clean-energy technologies drove more than a third of the growth in China’s economy in 2025 – and more than 90% of the rise in investment.

Milestone articles have highlighted the frequency and types of statistical errors in research,1–5 yet fundamental errors persist across various disciplines. With a background in biostatistics and over ...

Metabolomics has experienced significant growth and increased popularity due to technological advancements. We introduced an integrated tool for untargeted metabolomics analysis, SMART 1.0, that ...

In the early 1920s, a trio of scientists sat down for a break at Rothamsted agricultural research station in Hertfordshire, UK. One of them, a statistician by the name of Ronald Fisher, poured a cup ...