Quantitative research often feels like the most structured side of inquiry. It deals with numbers, measurement, and ...

If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...

One that I stumbled upon was Practical Regression and Anova using R by Julian Faraway ... I think R might occupy a similar ...

A machine learning model using basic clinical data can predict PH risk, identifying key predictors like low hemoglobin and elevated NT-proBNP. Researchers have developed a machine learning model that ...

Background Anti-C1q autoantibodies can disrupt normal complement function, contributing to the formation of pathogenic immune ...

Kenya’s food markets are known for extreme volatility influenced by weather shocks, inflation, currency fluctuations, and ...

Objective Interstitial lung disease (ILD) represents the most common and severe organ manifestation observed in patients ...

Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...

For decades, scientists have relied on a popular idea referred to as cosmic inflation to explain how the universe began and why it looks the way it does today. This theory suggests the universe ...

Electric vehicle (EV) manufacturer Tesla (TSLA 3.36%) achieved fame and fortune after its Model S car came out in 2012. The automobile not only boosted the company's ascent, but the entire EV market ...

Abstract: Considering the extremely complex physiological environment within neurons, there is feedback from autapse currents as well as the influence of external electromagnetic radiation. In this ...

Introduction: Adolescent mental health problems are closely linked to psychological inflexibility. Prior research has identified separate effects of family functioning and peer relationships on ...