By the 1990s, statistical approaches had become more sophisticated. Algorithms for ‘optimal design of experiments’ – still ...

Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

Introduction Safe surgical care is a cost-effective intervention for addressing a wide range of conditions, yet postoperative ...

This is a preview. Log in through your library . Abstract Unlike traditional approaches, Bayesian methods enable formal combination of expert opinion and objective information into interim and final ...

Learn how agentic AI design principles like error handling and adaptive learning can transform AI into a dynamic ...

Panelists discuss how the BE OPTIMAL study enrolled biologic-naive patients, whereas BE COMPLETE enrolled TNF inhibitor-inadequate responders. Both populations showed similar response rates despite ...

The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to cleaning ingredients (handling missing values, standardization) Model ...

The double-bounded dichotomous choice model is becoming popular in the contingent valuation literature. This technique considers the responses to two bids, the second one being determined according to ...

In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...

EV adoption in Europe is accelerating at pace. According to SNE and MarkLines, Europe's EV penetration rate rose from 23% to 26% in the first half of 2025, with projections suggesting it will hit 29% ...

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...