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 ...

Budget 2026 aims for pension stability. Unclear indexation and timetable with concrete effects on your purchasing power.

Pupil dilation provides a physiological readout of information gain during the brain's internal process of belief updating in the context of associative learning.

Abstract: To solve the problem of unstable prediction results of traditional power load forecasting methods, a power dynamic load complementary coefficient forecasting method based on big data ...

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

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