Background Autism spectrum disorder (ASD) is a neurodevelopmental condition characterised by impairments in social ...

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 ...

We are grateful to Auspurg (1) for the thoughtful engagement with our article (2). We share the author’s concern for improving robustness in the social sciences but differ on how best to achieve this.

Stroke and depressive symptoms are significant public health concerns worldwide; however, their causal relationship remains unclear. Therefore, there is a need for comprehensive multicountry studies ...

Abstract: Traditional bidirectional fixed-effect models rely on simple linear regression coefficients, which may limit the predictive testing capabilities of the models. To solve this limitation, we ...

The US Agency for International Development (USAID) is the largest funding agency for humanitarian and development aid worldwide. The aim of this study is to comprehensively evaluate the effect of all ...

This study combined retrospective impact evaluations in Brazil from 2000–19 with microsimulation models up to 2030. First, the effect of the BFP on overall mortality and hospitalisation rates was ...

This study aims to investigate the impact of international immigration on the native labor market of host countries. With the growing number of cross-border movements, the relationship between ...