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.
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STORM: A Spatio-Temporal Factor Model Based on Dual Vector Quantized Variational Autoencoders for Financial Trading
Machine learning model for extracting diverse stock factors to improve financial trading strategies

Global glacial lakes store more water but vary widely in longevity
Global inventory of glacial lake volumes and how they are changing with deglaciation

Financial knowledge and attitude predict entrepreneurial intention
Financial knowledge and attitudes drive entrepreneurship plans in Ethiopian university students

Strikes and lockouts reduced applications to Danish public service programs
Labor conflicts in public sector reduce student applications to nursing and teaching

Micro:bit activities improved self-perceived CT knowledge and attitudes
Preparing teachers to teach computational thinking using micro:bit technology

AI is described as expanding finance’s production frontier
How AI reshapes financial markets through production possibility frontier expansion

E-commerce is linked to lower urban electricity intensity
How e-commerce reduces electricity intensity in Chinese cities










