Understanding mental illness requires understanding psychiatric disorder causality. New brain research explores this in ...

But where did these terms come from? As it happens, one is quite old, whereas the other is relatively recent. The red flag ...

Causal discovery in non-stationary time series data is crucial for understanding complex systems but remains challenging due to evolving relationships over time. This paper presents a novel two-stage ...

Relationships are key for Todd Lewis — those with his clients, his family and the young attorneys he mentors. Originally from Fort Smith, Lewis was interested in law from an ...

Objectives This study aimed to assess the current status and influencing factors of emotional labour among psychiatric nurses in China, with the goal of informing managerial intervention strategies.

To address this issue, we propose a novel approach that combines a structural causal model (SCM) with deep learning to develop a causal graph attention network model (SCM-GAT) based on causal ...