generative ai

Level Up Numeracy: Using Artificial Intelligence-Based Digital Gamification to Revitalize High School Students' Multiplication Skills

This research describes the implementation and evaluates the effectiveness of an Artificial Intelligence (AI)-based digital gamification strategy, the 'Level Up Numeracy' program, in revitalizing high school students’ multiplication skills. The study specifically aimed to measure improvements in computational efficienc...

Artificial intelligence for precision gene therapy: emerging technologies, clinical applications, and future directions

The role of machine learning, deep learning, foundation models, generative AI and digital twins for advancing therapeutic design, boosting vector performance, manufacturing optimization, patient stratification and enabling precision medicine is discussed.

Ethical governance of artificial intelligence in scholarly publishing: a scoping review to inform policy development in medical universities

While generative AI benefits scholarly publishing, it raises concerns about authorship, accountability, reproducibility, and ethics, necessitating clear institutional policies. Given the ethical responsibilities of medical universities as centers of research training and scientific integrity, developing transparent and...

The Cheapest Digital Twin: A Pre-Registered Map of Twin-Native Extensions to a Frozen Single-Token Edge Encoder

The Cheapest Digital Twin: A Pre-Registered Map of Twin-Native Extensions to a Frozen Single-Token Edge Encoder Randolph James Ferlic, M.D. and Kimberly Kate Ferlic — Fieldstone Analytics, LLC, Austin, TX, USA Preprint · Zenodo DOI: 10.5281/zenodo.22922678 · CC-BY 4.0 · Community: spiral-domain-encoder-campaign Abstrac...

AN EXPERIENTIAL STUDY ON THE APPLICATION OF ARTIFICIAL INTELLIGENCE IN PSYCHOLOGICAL COUNSELING TECHNIQUE TRAINING FOR COLLEGE STUDENTS

Generative AI was perceived by clinical medicine students as a useful supplementary resource for psychological counseling technique training, particularly for simulated interaction, repeated practice, and immediate feedback, but students also recognized clear limitations concerning emotional empathy, nonverbal communic...

Anticipated acceptance of generative AI among older adults with chronic heart failure: a qualitative study guided by UTAUT

Chronic heart failure imposes a substantial disease burden on older adults, who face considerable challenges in post-discharge self-management. Generative artificial intelligence tools offer the potential to provide personalised, real-time health information support. However, how older adults with chronic heart failure...

Perceived quality of AI-generated and human-written news: a cross-national experimental study among journalism students in China and Vietnam

Introduction Generative artificial intelligence is reshaping news production, yet how journalism students evaluate AI-generated content and whether cultural-psychological factors systematically shape these evaluations remain poorly understood, particularly in non-Western contexts. Methods This study employed a 2 (Count...

Before we automate WIL evaluation, we need to ask what we're actually measuring

Community-engaged Work-Integrated Learning (WIL) is increasingly positioned as a mechanism for advancing graduate employability and social responsibility, yet the frameworks used to evaluate it remain anchored to countable proxies: employment rates, satisfaction scores, and placement completions. This provocation argue...

Uncovering the innovation effects and multiple‌ antecedents of employee role orientations in human-generative AI collaboration: a social information processing perspective

A counterintuitive finding is revealed: employee opportunism can act as a positive catalyst for innovation under specific HGAIC conditions.

Exploring young adult cancer survivors’ perspectives on generative AI chatbots for symptom support

Abstract Background Young adult cancer survivors (ages 18–39) often experience persistent treatment-related symptoms that negatively affect daily functioning, psychosocial well-being, and quality of life, yet report unmet educational needs for symptom management. Generative artificial intelligence (AI) technologies, su...

Benchmarking Stylometric Metrics for AI Authorship Verification: A Glass-Box Forensic Framework Across Language Models

Enterprise AI Governance Architecture: Integrating Security, Risk, Compliance, and Human Oversight

Large Language Models (LLMs) and other generative forms of artificial intelligence are rapidly moving into enterprise environments. Challenges surround ensuring the security of such models, managing risks associated with their use, ensuring that all use meets organizational and external compliance requirements, and ens...