Reading Tea Leaves From SDNY’s Short-Lived Self-Disclosure Program: Structural Risks and Potential Downsides for Companies The policies encourage early self-disclosure of corporate fraud but overlook ...

Abstract: Accurate prediction of drug-target interactions (DTIs) is crucial for accelerating drug discovery and reducing experimental costs. However, challenges such as sparse interactions and ...

Researchers from Tsinghua University and Fuzhou University have developed an innovative method for conducting full-range nonlinear analyses of structural systems using heterogeneous graph learning, as ...

Missouri will receive more than $216 million under a sweeping federal rural health initiative, a substantial investment aimed at stabilizing and modernizing care in rural communities. The state ...

ABSTRACT: This study examines the impact of Environmental, Social, and Governance (ESG) factors on sovereign credit ratings in Sub-Saharan African countries using LASSO and Random Forest models.

ABSTRACT: Service quality is important for public organisations, especially in higher education, where accredited degrees enhance reputation and competitiveness. A strong university image fosters ...

Pystra (Python Structural Reliability Analysis) is a python module for structural reliability analysis. Its flexibility and extensibility make it applicable to a large suite of problems. Along with ...

The program solves 2D steady-state and transient problems of structural analysis (linear-elasticity) and thermal analysis (conductive and convective heat transfer) with isoparametric and isogeometric ...

Each February during American Heart Month, there’s an increased focus on heart disease – the leading cause of death in the U.S. But the focus is often limited to the most common form, coronary heart ...

For almost 45 years, the Berkeley Art Museum and Film Archive has made its MATRIX program part of its signature exhibitions. Since 1978, MATRIX has chosen artists to present their work in ...

Abstract: Deep learning Transformer architectures play a critical role in developing advanced code prediction models, which are essential in modern Integrated Development Environments (IDEs).