Financial fraud has evolved from isolated transactional anomalies into organized, adaptive networks that challenge traditional rule-based detection. Deterministic frameworks remain transparent but fail under dynamic adversarial conditions, extreme class imbalance, and rapid behavioral shifts. Recent advances in artificial intelligence (AI), machine learning (ML), deep learning (DL), graph analytics, federated learning (FL), and explainable AI (XAI) have transformed fraud prevention from retrospe...

Business Analysis  Business Management 

As a required undergraduate course, College English carries the dual task of language training and value guidance. Against the backdrop of educational digitalization, the evaluation of its ideological and political component has long suffered from single evaluators, rigid indicators and unquantifiable value outcomes. This paper reports an empirical case study that implemented, over a sixteen-week semester at Qilu Normal University, a digitally empowered diversified evaluation system built on the...

Linguistics  Language Education  Higher Education 

Against the backdrop of profound transformation in the global labor market, developing economies closely linked to labor-force development are experiencing a growing demand for high-quality Technical and Vocational Education and Training (TVET). In Ethiopia, TVET reform has become a core national strategy for enhancing employability, strengthening workforce competencies, and improving the responsiveness of educational institutions to industry needs. Within this context, teachers’ motivatio...

Pedagogy 

The construction of the new liberal arts has assigned foreign language disciplines the mission of cultivating internationally oriented talents who are equipped with Chinese feelings, a global vision and cross-cultural communication competence, while curriculum-based ideological and political education (IPE) has become the fundamental measure for implementing the task of moral cultivation in higher education. For English majors, who come into direct and frequent contact with foreign cultures and ...

Linguistics  Educational Technology 

Data arising from diverse real-world processes often exhibit heterogeneous distributional characteristics ranging from skewness, heavy or light tails, kurtosis, presence of outliers and complex-shaped hazard rate behavior, mainly caused by the intricate pattern-generating variables in the dataset. In the past decade, considerable attention has been devoted to modelling such multifaceted behavior outside conventional distributions through developing flexible probability distributions through mixt...

Mathematical Statistics 

Introduction: Epiphyseal avulsion fractures of the distal femur account for 30% of epiphyseal fractures noticed in children. Surgical treatment remains the gold standard for these fractures. Materials and Methods: This is a retrospective, descriptive, and evaluative study of 30 cases, conducted from January 2022 to December 31, 2024, at Centre Hospitalier National Matlaboul Fawzaini (CHNMFT) in Touba. Results: The average age of the patient...

Orthopedics 

This paper studies the preprocessing method for high-dimensional small-sample data. High-dimensional small-sample data usually has feature redundancy and multicollinearity, which makes the generalization ability of prediction models worse. This paper uses principal component analysis (PCA) to reduce data dimension. It selects useful principal components by variance contribution rate and uses data reconstruction to check whether key information is kept. A BP neural network with fixed parameters i...

Big Data Search and Mining 

The behavior of nonlinear electrical systems is often characterized by abrupt transitions, multiple operating states, and hysteresis phenomena that conventional linear models cannot adequately describe. This paper presents a cusp catastrophe model for analyzing the equilibrium dynamics of electrical current in nonlinear electrical systems. The proposed model is based on the quartic potential function, $U(I$...

Theoretical Physics 

Traditional process assessment of the Machine Vision course suffers from weak traceability and delayed feedback. To address these issues, a reform was carried out with the support of Rain Classroom, while keeping the syllabus and score weights unchanged. Online learning and homework were migrated to the platform, and course objective achievement was analyzed with real score data. The results indicate that Rain Classroom makes the whole assessment process traceable and effectively motivates stude...

Curriculum Development 

Under the background of educational digital transformation and curriculum ideological and political construction, the “Understanding Contemporary China” course group faces problems such as fragmented knowledge, insufficient integration of value guidance with language teaching, and weak linkage in blended teaching. This paper takes knowledge graph as the technical support and constructs a “Dual Integration, Triple Linkage” blended teaching model for the course group. Throu...

Linguistics  Language Education  Educational Technology