arXiv:2601.15295v1 Announce Type: new Abstract: Interactive narrative (IN) authors craft spaces of divergent narrative possibilities for players to explore, with the player’s input determining which narrative possibilities they actually experience. Generative AI can enable new forms of IN by improvisationally expanding on pre-authored content in response to open-ended player input. However, this extrapolation risks widening the gap between author-envisioned and player-experienced stories, potentially limiting the strength of plot progression and the communication of the author’s narrative intent. To […]

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arXiv:2601.10718v1 Announce Type: new Abstract: Human papillomavirus (HPV) vaccine hesitancy poses significant public health challenges, particularly in Japan where proactive vaccination recommendations were suspended from 2013 to 2021. The resulting information gap is exacerbated by misinformation on social media, and traditional ways cannot simultaneously address individual queries while monitoring population-level discourse. This study aimed to develop a dual-purpose AI agent system that provides verified HPV vaccine information through a conversational interface while generating analytical reports for medical institutions […]

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Table Of Links Abstract 1 Introduction 2 Background 3 Privacy-Relevant Methods 4 Identifying API Privacy-relevant Methods 5 Labels for Personal Data Processing 6 Process of Identifying Personal Data 7 Data-based Ranking of Privacy-relevant Methods 8 Application to Privacy Code Review 9 Related Work Conclusion, Future Work, Acknowledgement And References Data-based Ranking of Privacy-Relevant Methods Our data-based ranking is designed to identify and prioritize privacy-relevant methods in Java and JavaScript applications. This ranking process comprises several stages, as depicted […]

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Neural networks are well known to be over-parameterized and can often easily fit data with near-zero training loss with decent generalization performance on test dataset. Although all these parameters are initialized at random, the optimization process can consistently lead to similarly good outcomes. And this is true even when the number of model parameters exceeds the number of training data points. Neural tangent kernel (NTK) (Jacot et al. 2018) is a kernel to explain the evolution of neural […]

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Deep learning-based Human Activity Recognition (HAR) systems using multimodal wearable sensors are increasingly deployed in safety-critical applications including healthcare monitoring, elderly care, and security authentication. However, the vulnerability of these systems to adversarial attacks remains insufficiently understood, particularly for attacks that must evade detection while manipulating multiple sensor modalities simultaneously. This paper presents STAR-RL (Stealth-aware Targeted Adversarial attack via Reinforcement Learning), a novel framework that generates effective and stealthy adversarial examples against multimodal sensor-based HAR systems. STAR-RL introduces […]

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Sending emails is a very important functionality for any website nowdays, either to send account verification emails, newsletter emails or even notification emails. Today I’ll be showing how you can create your own EmailSender Service in ASP.NET Core using FluentEmail and Razor templates for rich HTML emails. EmailSender interface If you’re working with a project that implements a Clean Architecture, you’ll want to create an interface in your Core project to define what you need the service to […]

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In 1637, Pierre de Fermat asserted that the equation an + bn = cn has no positive integer solutions for any exponent n>2, famously claiming to possess a proof too large for the margin. Although Andrew Wiles established the theorem in 1994 using deep methods from algebraic geometry and modular forms, the possibility of a more elementary argument has remained a topic of enduring interest. In this work we present a classical proof of Fermat’s Last Theorem for […]

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