Most AI strategies are built on the data companies already have handy: org charts, job families, process maps, operational metrics, performance cycles. That data is useful, but incomplete. It tells ...

Red Canyon Provides Drilling Update and Expands 2026 Targeting Plans at its 100% owned Kendal Copper Project Vancouver, British Columbia – ...

Mechanism Underlying the Influence of International Travel on Adolescents’ Learning Emotion and Attitudes: A Social Learning Theory Perspective Against the backdrop of increasing cross-cultural ...

Particle therapy, including proton and carbon ion radiotherapy, represents a major advancement in cancer treatment due to its ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Abstract: Many industrial processes are typically distributed parameter systems (DPSs) described by partial differential equations. Data-driven methods have become popular for spatiotemporal modeling ...

Heteroscedasticity describes a situation where risk (variance) changes with the level of a variable. In financial models, this means volatility is not constant. Most pricing and forecasting models ...

This dual experimental-numerical approach provides a rare, holistic view of bonded joint performance under ballistic loading, ...

Examining the primary cost drivers that reshaped the industry in 2025 and their implications for financial planning in 2026.

Learn how to secure Model Context Protocol (MCP) deployments using Kyber-encapsulated context windows and zero-trust policy enforcement for post-quantum security.

Researchers have uncovered how atoms subtly rearrange themselves for up to a trillionth of a second before releasing low-energy electrons after X-ray excitation.