1+ week, 5+ day ago   (490+ words) Digitally captured handwriting preserves pen trajectories and dynamic signals, but it also records hardware- and input-dependent properties that can confound forensic interpretation. This study revises a support vector machine (SVM) screening framework using 16,500 samples from 30 writers, 11 writing-content categories, and five…...

2+ week, 5+ day ago   (407+ words) Large-scale administrative hospital discharge data is a key resource for secondary health systems research, yet reuse is constrained by barriers of access, quality, interoperability, and semantic comparability. This paper presents and validates a reproducible, declarative, loss-aware harmonization framework for public…...

6+ day, 8+ hour ago   (587+ words) Large language models and AI agents are extending data-engineering automation beyond isolated artifact generation toward end-to-end processes in which agents interpret requirements, select data, generate transformations, invoke tools, validate results, and communicate analytical outputs. This shift introduces risks that conventional…...

1+ week, 3+ day ago   (471+ words) Code authorship attribution is an important research area for uncovering the source, affiliation, and purpose of software and malware. It encompasses a wide range of techniques for identifying code authorship based on the analysis of authors’ coding styles. These approaches…...

3+ week, 3+ day ago   (394+ words) Instrument control remains a practical bottleneck in laboratory automation and self-driving laboratories. Although large language models (LLMs) have shown strong potential in document understanding, code generation, and scientific workflow automation, most existing systems assume that ready-to-use instrument interfaces are already…...

4+ day, 11+ hour ago   (644+ words) The growth of big data ecosystems has shifted the classical paradigm of selective storage toward an approach that preserves large volumes of heterogeneous data for subsequent exploitation, thereby strengthening the adoption of repositories such as data warehouses and, particularly, data…...

3+ day, 6+ hour ago   (688+ words) Digital twins (DTs) based on agent-based artificial intelligence (Agentic AI) provide a transformative...and analysis of recent advances in Agentic AI, digital twin architectures, additive manufacturing, NDT...focus on AI-assisted defect detection or static digital twin models, this approach introduces…...

8+ hour, 3+ min ago   (361+ words) This research investigates the security of large language models (LLMs) with the aim of identifying key security and safety threats, control measures, and governance considerations that are relevant to their trustworthy adoption in the Extended Reality (XR) domain. To achieve…...

1+ week, 4+ day ago   (445+ words) Automated essay scoring models trained on imbalanced examination data often compress predictions toward the score mean, disproportionately harming low-proficiency responses. We investigate whether synthetic tail data can mitigate this failure in Chinese second-language writing assessment. Using 10,067 HSK writing samples, we…...

3+ day, 8+ hour ago   (411+ words) Time-series representation learning decomposes signals into interpretable factors such as trend and seasonality, and disentangled representation learning assigns these factors to distinct latent dimensions, enhancing interpretability and forecasting accuracy. However, existing methods achieve only statistical disentanglement: an intervention on one…...