artificial intelligence

From perception to practice: Faculty-led assessment redesign in response to generative AI in higher education

The rapid diffusion of Generative Artificial Intelligence (GenAI) tools such as ChatGPT into higher education has unsettled long standing assumptions about the validity, reliability, and authenticity of conventional assessment methods. Existing research has predominantly examined perceptions, ethical concerns, and tech...

Multiobjective optimization of foamed concrete for sustainable construction using statistical and artificial intelligence approaches

Abstract Foamed concrete is lightweight and insulating, but its mix design is a headache. Strength, durability, and carbon footprint all fight each other. This review looks at how researchers have tried to optimize these trade-offs using methods like RSM, Taguchi, ANN, and genetic algorithms. RSM is easy to interpret b...

From Automation to Coevolution: A Systematic Review of Human–AI Interaction Hierarchies and Professional Implications in the Construction Industry

Artificial intelligence (AI) is rapidly reshaping the construction industry, creating increasing reliance on human–AI interaction across project processes. Although previous research has made significant progress in applying AI across construction workflows, existing literature reviews lack a systematic analysis of h...

Artificial intelligence in sales (2017-early 2026): field consolidation and the rise of human-AI collaboration

Blockchain in the pharmaceutical supply chain

Regulatory non-compliance, fragmented traceability, and counterfeit drugs are ongoing problems for the pharmaceutical supply chain. To close these gaps, blockchain technology provides a transparent, tamper-proof, and decentralised platform that makes it possible for safe data sharing, automated compliance, and real-tim...

Continuity Science and Recoverability-Constrained Systems: A Unified Foundational, Mathematical, Constitutional, and Operational Framework for Living Systems and Future Continuity

This publication presents an integrated foundational, mathematical, constitutional, and operational framework for Continuity Science and Recoverability-Constrained Systems. The framework investigates the conditions under which identities, rights, relationships, protected interests, institutions, living systems, resourc...

Method core for "Response-length confounding in participant–morpheme networks: A length-controlled test in AI ethics education"

Data-free method core of the article "Response-length confounding in participant–morpheme networks: A length-controlled test in AI ethics education" (Computers and Education: Artificial Intelligence, 2026, 100685). The archive contains the closed-form counter of the six bipartite subgraph configurations and the shared-...

Artificial Intelligence Applied to Epigenomic Data in Leukemia: A Systematic Review of Diagnostic, Prognostic and Monitoring Models

Background: Epigenetic deregulation is a defining feature of leukemia, and DNA methylation and chromatin accessibility profiles encode the cell of origin, lineage and clinical behaviour of the disease. Artificial intelligence (AI) and machine learning (ML) can extract predictive patterns from these high-dimensional dat...

A Hybrid deep learning model for effective segmentation and classification of lung nodules from CT images

Deep learning algorithms will be used to detect lung nodule anomalies at an earlier stage. The primary goal of this effort is to properly identify lung cancer, which is critical in preserving a person’s life. Lung cancer has been a source of concern for people all around the world for decades. Several researchers prese...

Artificial intelligence–based competency assessment in first aid education: A scoping review protocol

This scoping review will map the evidence on the use of artificial intelligence (AI) to assess learner competency in first aid education. Although AI is increasingly used in resuscitation and first aid training, mainly as an instructional or feedback intervention, how AI has been applied to assess learner competency ha...

Role Based Agent Collaboration for Business Logic Extraction from Legacy Systems

Legacy systems remain critical to many organizations, yet extracting their embedded business logic presents significant challenges due to outdated programming languages, limited documentation, complex dependencies, and accumulated technical debt. Traditional reverse-engineering approaches often require substantial manu...

Artificial intelligence for microscopy: from image analysis to intelligent imaging

Emerging directions at the intersection of artificial intelligence and optical imaging are discussed, including smart microscopy systems capable of adaptive acquisition, agent-based AI approaches for scientific discovery, and the growing importance of sustainable computing in data-intensive bioimaging.