In rotating machinery, the condition of rolling bearings is paramount, directly influencing operational integrity. However, the literature on the fault evolution of rolling bearings in their nascent ...

The visual system receives continuous, time-varying input, which must be dynamically prioritized according to behavioural goals. However, most data and theory on visual perception and attention have ...

While dynamic modeling is arguably one of the most important technological developments for engineers in the last 50 years, many process control engineers are unable to use it. It requires proper time ...

Implementing Cancer Registry Data With the PCORnet Common Data Model: The Greater Plains Collaborative Experience Current image-based long-term risk prediction models do not fully use previous ...

Especially when it comes to manufacturing, problem-solving is an art. Every day, companies within this industry face challenges that test their processes, products and, ultimately, their bottom line.

In today’s unpredictable market, cost savings are no longer the only or even the primary goal of procurement. Instead, long-term value creation, supply continuity, and risk mitigation are what set ...

Vanguard has rolled out a new series of model portfolios that blend active and passive investment strategies, the latest sign of how the wealth management industry is reshaping the way financial ...

The new Opus model comes with a tool called Dynamic Workflows, for coordinating swarms of subagents.

The biopharmaceutical industry is rapidly moving from empirical, trial and error process development toward digitalized and ...

Introduction Economic evidence on community health worker (CHW) programmes is crucial for scaling these initiatives. Although decision-analytic models (DAMs) are essential for projecting long-term ...