Winston Feng says that in an era defined by abundant information, the ability to conduct rigorous research grounded in primary, real-world data is an indispensa ...

Main outcome measures Cumulative time dependent intake of preservatives, including those in industrial food brands, assessed ...

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 ...

Background Ebstein’s anomaly (EA) exhibits significant anatomical and clinical heterogeneity, warranting a systematic ...

Objectives This study aimed to identify the predictors of burnout, anxiety and depression among healthcare professionals during the COVID-19 pandemic. Design A secondary quantitative analysis of data ...

Through a recent notice, the Undergraduate Medical Education Board (UGMEB) of the National Medical Commission (NMC) has ...

This research used SPSS data analysis software and adopted descriptive statistics to analyze the basic information of the respondents. In the survey sample of primary education majors at H University ...

Objectives To examine associations between The Daily Mile, a school-based active mile intervention, and pupils’ physical ...

Slomp Filho, M. (2026) Copyright in Generative Artificial Intelligence. Beijing Law Review, 17, 1-10. doi: ...

Background Complex breast surgery, including immediate breast reconstruction and oncoplastic procedures, is increasingly performed to optimise oncologic and aesthetic outcomes. Postoperative wound ...

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

A new Special Report published in the journal BioScience warns that long-term ecological and evolutionary research faces ...