This study aims to examine the role of corporate governance mechanisms in detecting fraudulent financial reporting (FFR) based on the fraud heptagon model.Quantitative method is used to analyze secondary data obtained from annual reports of State-Owned Enterprises (SOEs) listed on the Indonesia Stock Exchange for the period of 2019-2022.Sampling is
Surface circulation properties in the eastern Mediterranean emphasized using machine learning methods
The eastern Mediterranean surface circulation is highly energetic and composed of structures interacting stochastically.However, some main features are still debated, and the behavior of some fine-scale dynamics and their role in shaping the general circulation is yet unknown.In the following paper, we use an unsupervised neural network clustering
Patients presenting beyond typical phenomenology: review and report of two cases
Background: Phenomenology, the study of subjective experiences, is a valuable diagnostic tool.All experiences reported by patients may not readily Tie-Dye Long-Sleeve fit into classically described phenomenological terms, even when diagnosis may be obvious due to other symptoms.Research into case studies with rare, indefinable phenomenology will de
Investigating the Potential and Challenges of Learning Analytics Tools in Brazilian Education Through Developer Insights
Learning analytics (LA) tools hold promise for transforming educational practices, providing insights into student performance, and aiding instructional planning.Despite the growing body of literature, the integration of these tools into daily educational processes Tie-Dye Long-Sleeve remains a complex challenge.Latin America has experienced a sign