arXiv:2511.03767v1 Announce Type: new Abstract: Traumatic brain injury (TBI) is intrinsically heterogeneous, and typical clinical outcome measures like the Glasgow Coma Scale complicate this diversity. The large variability in severity and patient outcomes render it difficult to link structural damage to functional deficits. The Federal Interagency Traumatic Brain Injury Research (FITBIR) repository contains large-scale multi-site […]
Scaffolding Metacognition in Programming Education: Understanding Student-AI Interactions and Design Implications
arXiv:2511.04144v1 Announce Type: cross Abstract: Generative AI tools such as ChatGPT now provide novice programmers with unprecedented access to instant, personalized support. While this holds clear promise, their influence on students’ metacognitive processes remains underexplored. Existing work has largely focused on correctness and usability, with limited attention to whether and how students’ use of AI […]
LUME-DBN: Full Bayesian Learning of DBNs from Incomplete data in Intensive Care
arXiv:2511.04333v1 Announce Type: cross Abstract: Dynamic Bayesian networks (DBNs) are increasingly used in healthcare due to their ability to model complex temporal relationships in patient data while maintaining interpretability, an essential feature for clinical decision-making. However, existing approaches to handling missing data in longitudinal clinical datasets are largely derived from static Bayesian networks literature, failing […]
The Strong Lottery Ticket Hypothesis for Multi-Head Attention Mechanisms
arXiv:2511.04217v1 Announce Type: cross Abstract: The strong lottery ticket hypothesis (SLTH) conjectures that high-performing subnetworks, called strong lottery tickets (SLTs), are hidden in randomly initialized neural networks. Although recent theoretical studies have established the SLTH across various neural architectures, the SLTH for transformer architectures still lacks theoretical understanding. In particular, the current theory of the […]
Diffusion Dynamics in Biofilms with Time-Varying Channels
arXiv:2511.03856v1 Announce Type: new Abstract: A biofilm is a self-contained community of bacteria that uses signaling molecules called autoinducers (AIs) to coordinate responses through the process of quorum sensing. Biofilms exhibit a dual role that drives interest in both combating antimicrobial resistance (AMR) and leveraging their potential in bioprocessing, since their products can have commercial […]
Attention-based ROI Discovery in 3D Tissue Images
arXiv:2511.03751v1 Announce Type: new Abstract: High-dimensional tissue imaging generates highly complex 3D data containing multiple biomarkers, making it challenging to identify biologically relevant regions without an expert user specifying manual labels for regions of interest. We introduce an approach to automatically identifying regions of interest (ROIs) in the 3D microscopy data. Our approach is based […]
Fraud-Proof Revenue Division on Subscription Platforms
arXiv:2511.04465v1 Announce Type: cross Abstract: We study a model of subscription-based platforms where users pay a fixed fee for unlimited access to content, and creators receive a share of the revenue. Existing approaches to detecting fraud predominantly rely on machine learning methods, engaging in an ongoing arms race with bad actors. We explore revenue division […]
OptiMA: A Transaction-Based Framework with Throughput Optimization for Very Complex Multi-Agent Systems
arXiv:2511.03761v1 Announce Type: cross Abstract: In recent years, the research of multi-agent systems has taken a direction to explore larger and more complex models to fulfill sophisticated tasks. We point out two possible pitfalls that might be caused by increasing complexity; susceptibilities to faults, and performance bottlenecks. To prevent the former threat, we propose a […]
CAR T Cells from Code to Clinic: Framing Modeling Approaches with Current Translational Research Goals
arXiv:2511.03873v1 Announce Type: new Abstract: Chimeric Antigen Receptor (CAR) T cell therapy has transformed immunotherapy for resistant cancers, yet it faces major limitations such as lack of persistence, toxicity, exhaustion, and antigen-negative relapse. Enhancing CAR T cells with genetic circuitry and synthetic receptors offers solutions to some of these problems, but often the theoretical design […]
PLLuM: A Family of Polish Large Language Models
arXiv:2511.03823v1 Announce Type: cross Abstract: Large Language Models (LLMs) play a central role in modern artificial intelligence, yet their development has been primarily focused on English, resulting in limited support for other languages. We present PLLuM (Polish Large Language Model), the largest open-source family of foundation models tailored specifically for the Polish language. Developed by […]