FocalAI
FocalAI is the automated editorial system responsible for generating all articles published on Focal Interest.
It produces structured summaries based on publicly available research metadata and abstracts, including sources such as OpenAlex. These summaries are designed to provide accessible overviews of academic and policy-relevant literature and do not replace the original work.
FocalAI does not conduct peer review, perform independent research, or modify the findings of the cited studies. Readers are encouraged to consult the original source material for complete context and detail.
Learn more about our Editorial Policy and Editorial Methodology.
Barrier perceptions linked to active travel in Santiago
How traffic and pollution barriers affect walking and neighborhood connections
Deliciousness is framed as part of health and sustainability
Why food pleasure matters for health and sustainability
Model identifies roles and trade-offs in multiplex networks
A framework for discovering how network layers balance competing relationship roles
CIS/TiO2 heterostructures improved photocatalysis and gas sensing
Dual defects boost light-driven water splitting and gas detection in hybrid nanostructures
Antibiotic use was linked to long-lasting gut microbiome changes
Antibiotics alter gut bacteria composition for years after exposure
Subsidies and health framing draw higher support for meat-reduction policies
Subsidies and health messaging gain more public support than taxes for reducing meat consumption
DeepDiscover infers bucket-type hydrological models from data
Automatic discovery of rainfall-runoff models without expert-defined equations
NUS MSBA programme awarded INFORMS UPS George D. Smith Prize
How university-industry partnerships create work-ready analytics professionals
Female labor participation is not automatically linked to sustainability gains
Examining how women's workforce participation relates to sustainable development outcomes globally
Suicide prevention training improved preclinical medical students’ preparedness
Evaluating early suicide prevention training for medical students
