The 20th Communist Party of China National Congress proposed that "we will build an institutional framework under which ...

A research team has introduced a lightweight artificial intelligence method that accurately identifies wheat growth stages ...

By transferring temporal knowledge from complex time-series models to a compact model through knowledge distillation and attention mechanisms, the ...

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...

Introduction After the WHO prequalified the first vaccine against mpox, we aimed to identify the influence of vaccine ...

Background Prehospital delays remain critical barriers to timely acute coronary syndrome (ACS) care, particularly for ...

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 study examines the co-movement dynamics of inflation rates among Southern African Development Community (SADC) member ...

This study re-examines the non-linear relationship between inflation and economic growth in Southern African Development ...

Objectives to describe the evolution of anxiety during the COVID-19 pandemic in France and to assess whether it differed according to pre-existing alcohol misuse. Design A prospective longitudinal ...