generative ai

MINT: Modeling GenAI Impact on Network Traffic

Generative AI (GenAI) is becoming a mainstream network workload, yet packet-level simulators lack measure\-ment-driven GenAI traffic models. Currently researchers must approximate GenAI services using traditional sources such as file transfer and video streaming, limiting realistic network evaluation of scheduling and...

Replication Package — University Teachers' Continued Use of Generative AI Teaching Tools

Version 2 (2026-10): province/city fields removed for de-identification; method labeling aligned to bootstrapped path analysis; supplementary analyses added (policy-stratified mechanism test, ordinal discontinuation model, attrition analysis, disattenuation sensitivity).

Stata Replication Package for "Workplace Generative AI and the Separation of Operational Discretion from Temporal Job Quality"

This Stata replication package supports the paper "Workplace Generative AI and the Separation of Operational Discretion from Temporal Job Quality". It provides analysis code, data-access instructions, variable crosswalks, aggregate results and verification files. The analysis uses paid-employee samples from the Canadia...

Demand Discovery under Free Imitation: Generative AI and Creation Incentives in a Digital Doujin Platform

Sales rankings on digital platforms broadcast which new ideas sell. The demand knowledge a pioneer discovers therefore spills over to every potential imitator, and generative AI has made acting on it drastically cheaper. On DLsite, the largest Japanese marketplace for digital doujin works, I measure how fast imitation...

Students’ Perception Accuracy of Partners’ AI Use and its Relation to Collaboration Performance

AI-Driven Assessment of Human Tutors: Linking Training Performance to Real-Life Practice

Code and result tables for "Adaptive UAV traffic monitoring under partial and delayed sensing: when does the expected value of surrogate-risk information change dispatch?"

Scripts, configurations and result tables for the article "Adaptive UAV traffic monitoring under partial and delayed sensing: when does the expected value of surrogate-risk information change dispatch?" by A. Mahmoodi, M. Davoodi, E. A. Torkamani and S. M. Sajadi, submitted to Transportation Research Part C: Emerging T...

Counting intersections of rational cyclic grids: an application of Smith normal form

Choose two points from equally spaced grids on a circle. How many choices put both their sum and their difference on specified target grids? A small example leads from fractions to integer congruences. We then use classical Smith normal form to obtain the exact count, carefully allowing the two input grids to have diff...

Skewed toward uniformity? Investigating algorithmic stereotyping and amplification in AI-generated images

As text-to-image generative artificial intelligence (AI) increasingly shapes visual communication, concerns are growing about its role in reproducing social stereotypes. While recent algorithm auditing studies have advanced our understanding of stereotypical AI-generated imagery, they have largely focused on a narrow s...

PREreview of "Mycobacterial Lipoarabinomannan: Major Trail of Immune Evasion and Drug resistance in host"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23181910. Major issues From the title: The phrase "drug resistance in host" is also unclear. It needs to be revised so as to reflect the paper's actual focus. The manuscript mainly...

A Framework for Classifying Uncertainties in AI-Driven Newsrooms

This study examines how generative artificial intelligence (GAI) is adopted and integrated into the newsroom of a major Brazilian media organization—Globo. While AI deployment in journalism has expanded globally, the experiences lived by journalists in contexts that are not Western, educated, industrialized, rich, and...

Engaging HBCU Students in Active Learning for Blockchain, FinTech, and Generative AI: A Human-Centered Pedagogical Framework

A human-centered pedagogical framework to engage HBCU students in active learning about blockchain, FinTech, and generative AI is proposed and suggests that active, collaborative, and AI-supported pedagogy can increase student participation, reduce anxiety around technical topics, support inclusive learning, and streng...