Discover the best model kits for beginners that offer easy assembly, clear instructions, and a rewarding building experience. This guide highlights beginner-friendly brands and kits that help new ...

Abstract: This article proposes a variable predictive horizon model predictive speed control based on hysteresis loop and extended spatial domain iterative sliding mode observer (ESI-SMO) for ...

A predictive model identifies RA patients at risk of D2T-RA, using machine learning and real-world data for early intervention. Patient-reported outcomes, such as pain and fatigue, are stronger ...

Some cars invite you in with chrome and comfort. The Model T invites you into a time machine, hands you three pedals that mean the wrong things, and politely asks you to learn 1910s. Then it coughs, ...

Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...

For the elite firms that manage private assets, it looks like an unqualified win: A $12 trillion market for retirement savings is opening up. For savers, it will mean a fresh menu of investments, and ...

A new model using genomic and pathological data improves prognostic accuracy for advanced NSCLC, aiding personalized treatment plans. Traditional indicators like tumor mutational burden and PD-L1 ...

The Model Context Protocol (MCP) is a cutting-edge framework designed to standardize interactions between AI models and client applications. This open-source curriculum offers a structured learning ...

Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...