generative ai

Generative AI Framework SynGlue for the Rational Design of Clinically Relevant Protein Degraders

This dataset contains processed protein-level quantitative proteomics results from a TMT-multiplex LC-MS/MS study of human 22Rv1 cells under vehicle and compound-treatment conditions at 6 h and 24 h. Files include filtered protein abundance and annotations, normalized protein abundance, and differential-expression stat...

Recomposed Enforcement Paths: A Comparative History of Hardware-Enforced Platform Security

English author preprint v4.1. This substantially revised edition compares historically situated hardware-enforced platform security mechanisms rather than proposing a linear or causal transition. It offers a bounded decision procedure for classifying a specified security guarantee as local, distributed, or not classifi...

Statistics for Policy Science: Slide Decks for a Fourteen-Session Course, with a Catalogue of the Materials

Slide decks for Statistics for Policy Science, a fourteen-session course of 100-minute classes, aimed at researchers whose main field is not statistics — in public administration, political science, social psychology, management — who need the procedures common in their own discipline, as far as the sentence that appea...

Resolving the Full Modular Data of a Doubled-Fibonacci String-Net on a Finite Torus by Point-Group Rotation, and an Obstruction to Quasi-One-Dimensional Anyon Exchange

We report a real-space resolution of the full modular data of a doubled-Fibonacci Levin–Wen string-net, obtained by exact diagonalization on finite torus supercells (2×2, 2×3, 3×3), together with a sharply scoped negative result for the dynamical half of the same program — and we keep the classes of evidence strictly s...

Topology-based failure modes in AI-generated 3D assets for production rigging pipelines: a practitioner-informed benchmarking framework

Student Evaluative Profiles of Generative AI in Higher Education: Trust, Ethical Acceptability, and Perceived Learning Value — Dataset and Supplementary Materials

This record contains the dataset and supplementary materials from a study of undergraduate students’ evaluations of generative artificial intelligence in higher education. The study examines three evaluative dimensions: Trust and Reliability, Ethical Acceptability, and Perceived Learning Value. The record includes (1)...

A classroom-based dataset on phase-level assessment of mathematical modelling processes in upper secondary education

This classroom-based dataset documents phase-level mathematical modelling activity from the same 37 upper-secondary students across two study occasions, yielding 74 student-by-occasion records. The dataset includes explicit variables for participant identifier, study occasion, instructional condition, modelling task, m...

Decision Without Generation: Benchmarking a Calibrated Non-Generative Decision Model Against LLM Judges on Moderation, Hallucination, NLI and Prompt-Injection Tasks

Large language models (LLMs) are widely used as judges for content moderation, hallucination detection and prompt-injection filtering, although they are slow, expensive and poorly calibrated when asked to verbalise probabilities. We evaluate a different design point: a commercially served decision-only model (typesafe/...

Policy Recommendation & Regulatory Submission to the European AI Office: Comprehensive Governance of Generative Biometric Mimicry and Proposed Amendments to the GPAI Code of Practice under Regulation (EU) 2024/1689

Description / Abstract(概要) This policy paper and regulatory submission to the European AI Office (DG CONNECT) formulates concrete statutory amendments and technical standards for the upcoming General-Purpose AI (GPAI) Code of Practice under the EU AI Act (Regulation (EU) 2024/1689). Addressing the systemic exploitati...

The Power of Starting Where We Are: A Montessori 6–12 Curriculum for the Age of AI — Slide Deck (Montessori Aotearoa New Zealand Webinar, September 23, 2026)

Slide deck for the webinar The Power of Starting Where We Are: A Montessori 6–12 Curriculum for the Age of AI, presented for the 6–12 teachers of Montessori Aotearoa New Zealand on September 23, 2026. Across 37 slides the session opens with the policy landscape of Aotearoa New Zealand, the Ministry of Education's gener...

The Power of Starting Where We Are: A Montessori 6–12 Curriculum for the Age of AI — Resources and References (Montessori Aotearoa New Zealand Webinar, September 23, 2026)

Resources and references accompanying the webinar The Power of Starting Where We Are: A Montessori 6–12 Curriculum for the Age of AI, presented for the 6–12 teachers of Montessori Aotearoa New Zealand on September 23, 2026. The document gathers every resource named in the session: A Cosmic Story: The Coming of Technolo...

Policy Recommendation & Regulatory Submission to the European AI Office: Comprehensive Governance of Generative Biometric Mimicry and Proposed Amendments to the GPAI Code of Practice under Regulation (EU) 2024/1689

Description / Abstract(概要) This policy paper and regulatory submission to the European AI Office (DG CONNECT) formulates concrete statutory amendments and technical standards for the upcoming General-Purpose AI (GPAI) Code of Practice under the EU AI Act (Regulation (EU) 2024/1689). Addressing the systemic exploitati...