Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...

David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

For an academic researcher who first trained as a philosopher, then as a psychologist, Robyn Dawes was a practical fellow. He would tell a story from his time working in a psychiatric ward in the ...

Glucose-to-potassium ratio shows a J-shaped link with AKI after traumatic brain injury, with high levels predicting increased ...

A study published in the Journal of Cannabis Research examined how gender identity influences patterns of substance use.

It feels like there’s no escaping AI right now, whether you’re trying to type a sentence without being interrupted by a digital “assistant” or struggling to find a new refrigerator that doesn’t ...

HBR revives “maximizing shareholder value”—what Jack Welch called "the dumbest idea in the world"—treating customers as ...

Even after the introduction of ETI for cystic fibrosis, habit continues to have a key role in adherence to inhaled medicines in patients with CF.

The emerging convergence of AI-first design principles and environmental consciousness is reshaping how we think about ...

Business users can now determine the best course of action under real-world constraints and uncertainty, with input ...

Blood-based circular RNAs showed strong potential for identifying biomarker-confirmed Alzheimer’s disease and predicting progression to symptomatic disease. When combined with pTau217, the circRNA ...