The study provides clear empirical evidence of a positive and statistically significant relationship between internal adoption of AI-enabled FinTech tools and bank performance across multiple ...

Energy management systems (EMS) enhanced with AI are emerging as the backbone of solar-assisted greenhouse operations. These ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

The authors provide a useful integrated analytical approach to investigating MASLD focused on diverse multiomic integration methods. The strength of evidence for this new resource is solid, as ...

A new large-scale study reveals that uncertainty in climate policy (CPU) is a significant driver for improving corporate Environmental, Social, and Governance (ESG) performance. Analysing data from 4, ...

This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.

For millions of immigrants, arriving in a new country means navigating not just cultural shifts but economic hurdles.

Huang, H. (2025) Institutional and Fiscal Determinants of Non-Performing Loans: Empirical Evidence from the Post-COVID-19 ...

The new iPhone 17 line-up was unveiled at Apple’s “Awe Dropping” event back in September. I know, time has sped by! Apple’s annual autumnal ritual of top smartphone upgrades is back, with the iPhone ...