Implied volatilities were higher across the major asset classes last week on the back of President Trump's nomination of ...

Explore how AI-powered forensic data audits can enhance data literacy and improve air quality measurements for socio-economic ...

This article examines credit risk in US fixed income--spanning investment grade, high yield, leveraged loan, and private credit.

Implied volatilities were higher across the major asset classes last week as the markets strove to process the economic ...

This study investigated the dynamics of human cortical network activity with functional magnetic resonance imaging during movie watching and studied the modulation of these dynamics by subcortical ...

Transforming the chemicals industry, AI application models enhance formulation development, enabling rapid, accurate responses to evolving market demands.

Upregulated expression of transcription factors promoting cone identity in late-stage retinal progenitors drives development ...

An ancient, fundamental cooling technique gets a new, more-efficient implementation via an innovative fiber matrix.

Positioned at the intersection of quantitative finance, statistical learning, and modern AI, the research addresses a fundamental challenge in high-dimensional finance: how to infer stable and ...

Absence of grab bars, tripping hazards and broken flooring in the home environment can significantly amplify the relationship between visual function and falls among older adults, according to a study ...

Lotfy, A. (2026) A Digital Accounting Framework for Enhancing Solvency and Financial Evaluation in Non-Bank Financial ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...