In recent years, numerous landslides on hillsides in urban and rural areas have underscored that understanding and predicting ...

Building on Ben Bernanke’s widely used recession probability model, we invented a better model using exactly the same ...

The proprietary KE-Bot system uses 3D scalp analysis and objective data driven planning to deliver more predictable, ...

A study in Risk Sciences examines whether alternative “big data” and the LASSO variable-selection method can strengthen health risk assessment in critical illness insurance. Using insurer application ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

Founded in 2008, Chinese Tea Group focuses on cultivation research, traditional processing documentation, and cross-cultural tea education initiatives. The organization works with mountain-origin ...

How an excessive focus on methods has distracted attention from the more fundamental challenge of building rigor and learning ...

New deep-learning framework reconstructs hourly PM2.5 chemical composition using air-quality and meteorological data ...

Multifidelity optimization can inform decision-making during process development and reduce the number of experiments ...

Data Systems Redefining Competitive Decision Making Professional sports are no longer shaped only by instinct, tradition, or experience passed down through coaching trees. Over the last decade, ...

Out-of-hospital cardiac arrest, or OHCA, is a leading cause of mortality worldwide and 90% of cases are fatal. Patients lose cardiac function and circulation, and every minute they remain untreated ...