explainable ai

Foundations of Stylistics: For EFL University Students

Foundations of Stylistics: For EFL University Students is an introductory textbook in the Applied Linguistics branch of the English Language Studies for EFL University Students series. It is designed for international EFL university students and assumes no previous course in stylistics. Its fifteen chapters and seventy...

Three‑Dimensional Time (3DT) Natural Philosophy: A New Cognitive Paradigm for Spacetime, Gravity, Light, and Energy

Human cognition of the universe has long been confined within a single intuitive framework: three‑dimensional space and one‑dimensional, unidirectional time. All modern physics, optics, gravitation theory, and energy systems are built upon this “single‑dimensional time” foundation. While this framework explains the con...

Integrating ontology-driven knowledge management and explainable AI: a framework for cognitive and organizational intelligence in industry 4.0

Companies in Industry 4․0 face challenges in managing knowledge․ This research explores knowledge management (KM) architectures that use ontologies and explainable AI technologies as tools to support KM initiatives․ This study developed a framework for transforming tacit knowledge and adopting AI technologies for KM ac...

Social Media Marketing and Influencer Strategies Powered by AI

The emerging capabilities in AI have revolutionized the world of social media marketing, particularly how businesses personalize and strategize for social media in the inflow of huge amounts of data, most importantly the optimization of influencer collaborations. Hence, this research paper attempts to construct a resea...

Dynamical Criticality and Statistical Regime Transitions: A Unified Theory of Structural Stability Boundaries, Bifurcation Transitions, Observation Pushforwards, and Critical Scaling

Problem. Statistical regime transitions are often represented directly as parameter changes in observed sequences or as discrete hidden states, but such a statistical description does not by itself explain why a regime should change under continuously varying external control. Starting from parameterized families of de...

Who Gets the House? Related-Party Transfers and the Cash–Mortgage Price Gap in New York City

Repeat sales can hold a property fixed while comparing transactions with different financing labels. Using New York City deed and mortgage records for 2016–2025, the paper finds a house price contrast of 9.25 log points [7.17, 11.35] between purchases with and without a matched mortgage, after permit, institutional-sel...

MolaMola Lab White Studio Collected Works 3rd

I harbor fundamental questions about myself and the world that surrounds me. If someone were to ask me to speak of 'myself,' how should I answer? Stripped of relationships, roles, gender, and accumulated memories—how can I explain who I am in this exact, fleeting moment? Do I exist wholly and fully? Even now, I am in a...

Foundations of Digital Language Learning and Teaching: For EFL University Students

Foundations of Digital Language Learning and Teaching: For EFL University Students is an introductory textbook in the Applied Linguistics branch of the English Language Studies for EFL University Students series. It is designed for international undergraduate EFL students and assumes no previous university course in th...

Artificial Intelligence Utilization, Auditors’ Technological Competence, and Audit Quality: PLS‑SEM Evidence from Indonesia

Audit firms and internal audit units in Indonesia have begun to use artificial intelligence (AI), but it is not yet clear whether audit quality improves because of the tool or because of the auditor who uses it. We examined the effects of AI utilization and auditors’ technological competence on audit quality. Questionn...

The Future is Neuro-Symbolic

Invited talk at Advances in Cognitive Systems 2026 (ACS 2026), Edinburgh. This talk explores the evolution and current state of neurosymbolic AI, an approach that integrates neural network capabilities with symbolic reasoning. We trace the historical context from early AI aspirations to modern implementations and succe...

Analysis of Sentiment in Tamil Comments Using BERT and Explainable AI

Model-based medical decision making: From system dynamics to object-process methodology

Decision-making in mission-critical domains, including healthcare and finance, requires information structures that are explainable, trustworthy, and semantically coherent. This study examines how hybrid conceptual modeling addresses these needs by transforming a System Dynamics (SD) model into an Object-Process Method...