artificial intelligence

Teoria do Particionamento da Consciência (TPC) — Ensaio Filosófico / Theory of Consciousness Partitioning (TPC) — A Philosophical Essay

[PT] Ensaio filosófico que propõe a Teoria do Particionamento da Consciência (TPC): um arcabouço naturalista e emergentista no qual Mente Individual (MI), Metaconsciência (MC) e Consciência Global (CG) formam uma arquitetura em camadas da consciência, com ciclos de vida, marcadores de valência e re-derivação de identid...

From Instrument to Co-Creator: Authorship in Generative and AI Music

This paper presents the evolving concept of authorship in music creation as algorithmic and artificial intelligence systems impact the musical market. Based on Philip Galanter's definition of generative art, the paper discusses about the authorship of music in different senerios: when it is generated by tools like Nyqu...

Governing the Use of Generative AI Applications in Developing Independent Skills for Students with Autism: A Proposed Model for Achieving School Quality of Life

Towards a Virtual Embryo: A new approach methodology for probabilistic assessment of neural tube closure defects

Neural tube closure represents a critical morphogenetic event during early vertebrate embryogenesis. When genetic or chemical factors disrupt this process, embryos can develop severe birth defects such as spina bifida. To understand how these defects emerge, we built a computational agent-based model that functionalize...

How teacher support promotes student engagement in AI-supported English learning?: Mediating pathways through personal best goals and academic buoyancy

Artificial intelligence (AI) is changing how university students learn English, but we still know relatively little about how teacher support is associated with student engagement in AI-supported learning. Drawing on Achievement Goal Theory, this study examined whether personal best goals and academic buoyancy mediated...

Assessment of AI development level in construction cost management using AHP- cloud model: a case study of China’s Yangtze River Delta Region

Artificial Intelligence (AI) integration is crucial for solving traditional inefficiencies and data fragmentation in construction cost management, driven by the demands of Industry 4.0. However, a significant gap exists in holistically evaluating AI development levels, lacking a framework and empirical analysis that sy...

Understanding the Evolution of Fintech and Sustainable Development: A Comprehensive Review

This article examines the evolution of research at the intersection of financial technology (fintech) and sustainable development through a bibliometric and integrative review of 256 documents indexed in Scopus and Web of Science up to July 2024. The study illustrates the publication trends, influential sources, author...

Behind on Which Front? Knowledge, Creation and Deployment in Europe's Position Relative to the United States and China in Business, Artificial Intelligence and Renewable Energy

LACO-GAI: A Laplace Copula Generative AI Network Model for Accurate Stroke Disease Prediction

Stroke is major wellbeing condition which creates serious hazard to human health and cause of bereavement and disability universal. Several risk factors contribute to its development, including hypertension, diabetes, tobacco use, raised cholesterol levels, and obesity. Conventional methods have been used to predict st...

Organizational AI Readiness Maturity Model (AIRMM): A Conceptual Framework Bridging AI Readiness and Maturity Perspectives

Artificial intelligence (AI) adoption requires more than technological availability; it depends on organizational conditions related to strategy, resources, knowledge, culture, data, and processes. Existing AI readiness frameworks primarily identify these conditions, while AI maturity models generally assess the sophis...

Enhancing PISA-aligned argumentation skills of prospective biology teachers through generative artificial intelligence

Despite scientific argumentation being a fundamental competency of the PISA assessment framework, prospective biology teachers often demonstrate insufficient development in evidence-based reasoning and rebuttal construction skills. Considering the limitations of large-scale implementation of individualized approaches i...

BOTS Unleashed: Exploring the Future of Autonomous System in Wells

Wells operations are increasingly dependent on high-volume, cross-system, evidence-heavy workflows across planning, execution, reporting, cost control, integrity, and closeout. Many of these workflows remain manually intensive, requiring engineers and support teams to retrieve data, validate records, update registers...