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 ...

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 ...

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: This research paper presents a comprehensive comparative analysis of root-finding methods for nonlinear functions using Python programming language. The study focuses on three widely used ...

A simple structural analysis tool in Python, for structures consisting of truss and beam members, springs, and rigid bodies, both in two dimensions and in three dimensions. 11/08/2025: Add publishing ...

Strongly Correlated Systems Lendület Research Group, Wigner Research Centre for Physics, H-1525 Budapest, Hungary ...

Microsoft Excel is essential for the End-User Approach (EUA), offering versatility in data organization, analysis, and visualization, as well as widespread accessibility. It fosters collaboration and ...

Structural control, monitoring, and analysis complement each other to ensure the maximum safety of structures, including bridges, buildings, transmission towers, and wharfs. Assessing the use and ...

Abstract: This study aims to provide an enhanced approach to analyze circuits using matrix analysis and Kirchhoff's Current Law (KCL). Matrices were employed for the integration of power parameters, ...

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 ...