Researchers have determined that the red cell distribution width-to-albumin ratio (RAR), a composite biomarker of systemic ...

Researchers discovered a significant negative correlation between an individual's oxidative balance score and systemic immune ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, offering a more reliable and efficient alternative to traditional estimation ...

A massive landslide triggered a deadly tsunami in Chile, in 2007. This became a turning point in tsunami science and risk ...

A research team used flowering data from 169 rice genotypes—each with over 700,000 SNP markers—across multiple environments ...

Vehicle emissions are a leading source of greenhouse gases, yet conventional modeling tools assume symmetrical and proportional relationships between fuel use, engine size, and emissions. This ...

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend ...

Artificial Intelligence (AI) is transforming credit risk modeling by offering methods and tools that serve as a complement - or even an alternative - to ...

The ability to anticipate glucose changes before they happen is one of ML’s biggest contributions to CGM. Predictive models ...

Journal of the Royal Statistical Society. Series C (Applied Statistics) This paper proposes a logistic regression model for comparing treatment groups with respect to tumour prevalence. The prevalence ...

This study examines a valuable question regarding the developmental trajectory of neural mechanisms supporting facial expression processing. Leveraging a rare intracranial EEG (iEEG) dataset including ...

The first part of the article reviews the Data Augmentation algorithm and presents two approximations to the Data Augmentation algorithm for the analysis of missing-data problems: the Poor Man's Data ...