In this Journal feature, information about a real patient is presented in stages (boldface type) to an expert clinician, who responds to the information by sharing relevant background and reasoning ...

Abstract: High penetration of renewable energy generation (REG) presents severe uncertainties for power system operation. It is critical to quantify the accommodation level of REG in the nonlinear ...

1 International Education College (IEC), Zhejiang Chinese Medical University, Hangzhou, China. 2 Dermatology and Venereology, Hangzhou First People’s Hospital, Hangzhou, China. 3 Dermatology and ...

[22 Mar 2026] Generalized Discrete Diffusion from Snapshots [17 Mar 2026] DynHD: Hallucination Detection for Diffusion Large Language Models via Denoising Dynamics Deviation Learning [5 Mar 2026] ...

In this Journal feature, information about a real patient is presented in stages (boldface type) to an expert clinician, who responds to the information by sharing relevant background and reasoning ...

The authors proposed an important novel deep-learning framework to estimate posterior distributions of tissue microstructure parameters. The method shows superior performance to conventional Bayesian ...

Introduction Epidermolysis bullosa (EB) is a group of rare genetic skin disorders characterised by skin and mucosal fragility, leading to painful blisters and erosions. Among its subtypes, the severe ...

With the recent explosion in the amount, the variety, and the dimensionality of available data, identifying, extracting, and exploiting their underlying structure has become a problem of fundamental ...

Predictive microbiology models explain bacterial number variations over time and how growth/inactivation rates are affected by environmental conditions (Lammerding and Fazil, 2000). In the development ...

The drift-diffusion model (DDM) is an important decision-making model in cognitive neuroscience. However, innovations in model form have been limited by methodological challenges. Here, we introduce ...