This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

This important study reports three experiments examining how the subjective experience of task regularities influences perceptual decision-making. Although the evidence linking subjective ratings to ...

Objectives This study assessed whether a previously developed Monte Carlo simulation model can be reused for evaluating various strategies to minimise time-to-treatment in southwest Netherlands for ...

Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...

Discover how new resilience models are revolutionizing post-earthquake tunnel recovery. A groundbreaking study in Engineering ...

Large language models (LLMs) have become crucial tools in the pursuit of artificial general intelligence (AGI).

Introduction Repeated exposure to domestic violence (DV) is common among women; however, little is known about how women’s ...

The Token Probability Visualizer is a web application that allows you to visualize token probabilities from OpenAI models. You can see the probability of each token in a generated response, with color ...

Objectives Diagnostic reasoning in systemic lupus erythematosus (SLE) is a complex process reflecting the probability of disease at a given timepoint against competing diagnoses. We applied machine ...

Abstract: Path probability prediction is essential to describe the dynamic birth and death of propagation paths, and build the accurate channel model for air-to-ground (A2G) communications. The ...