Applied statistics is more than numbers—it’s a way to solve real-world problems in social science, healthcare, business, and beyond. From mastering research design to applying advanced data analysis, ...

Turbulence is one of the most expensive problems in computing. Simulating the chaotic swirl of air over a wing or the churn ...

Machine-learning-informed simulations of physical phenomena ranging from drifting bands (left), resonant ripples (center) and sharpening fronts (right) using a physics-informed neural network that ...

Contributed by Pablo G. Debenedetti; received November 25, 2025; accepted February 19, 2026; reviewed by Christoph Dellago and Andreas Heuer Water’s anomalous properties emerge from its complex ...

Researchers present a comprehensive review of frontier AI applications in computational structural analysis from 2020 to 2025, focusing on graph neural networks (GNNs), sequence-to-sequence (Seq2Seq) ...

Abstract: This study identified key factors that predict computational thinking (CT) attainment among Korean elementary- and middle-school students and provided educational implications for promoting ...

Net income is a key financial indicator that reflects the actual performance of the banking sector and its ability to achieve long-term profitability and sustainability. According to World Bank ...

A novel, hybrid AIT-MDL framework for detecting systemic regime shifts (structural breaks) in complex, non-stationary systems. This repository contains the computational narrative and all code to ...

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...

Strong coupling photonics enables precise control of light at subwavelength scales, offering transformative potential in energy conversion and optical information processing. However, designing these ...