Health
988 storiesPublic health and medicine worldwide — sourced from WHO News.
Integrated Discovery and State-Aware Servicing for Mobile AUVs With UOWC: Modeling and Performance Analysis
arXiv:2607.15183v1 Announce Type: new Abstract: Underwater wireless optical communication (UWOC) is an enabling technology for high-throughput subsea networks, yet its long-term deployment is constrained by the finite en…
Memory-Exhaustion Attack on the Blocklace Byzantine-Repelling Conflict-Free Replicated Data Type
arXiv:2607.15185v1 Announce Type: new Abstract: The blocklace is a directed acyclic graph encoding the causal relationship between authenticated updates produced by participating nodes. Compared to previous approaches, i…
Can We Trust Item Response Theory for AI Evaluation?
arXiv:2607.15190v1 Announce Type: new Abstract: AI benchmarks increasingly leverage item-level statistical models, particularly item response theory (IRT), to estimate model capabilities, rank systems, select informative…
Efficient higher-order local time integration for Friedrichs' systems
arXiv:2607.15192v1 Announce Type: new Abstract: In this paper, we construct an efficient higher-order local time integration scheme for spatially discretized linear Friedrichs' systems. In particular, our interest is in …
Plover: Steering GUI Agents through Plan-Centric Interaction
arXiv:2607.15193v1 Announce Type: new Abstract: Graphical user interface (GUI) automation remains challenging in real-world environments, where dynamic layouts, unexpected dialogs, and evolving interface states can cause…
Mask-Aware Policy Gradients for Diffusion Language Models
arXiv:2607.15200v1 Announce Type: new Abstract: Reinforcement learning has proven effective for improving reasoning in large language models, but extending it to Masked Diffusion Language Models (MDLMs) remains challengi…
Self-Evolving Human-Centered Framework for Explainable Depression Symptom Annotation
arXiv:2607.15202v1 Announce Type: new Abstract: Annotation quality is a major bottleneck in building reliable and explainable artificial intelligence (XAI) systems for mental health research. In depression-related datase…
MM-IssueLoc: A Controlled Benchmark for Evaluating Visual Evidence in Multimodal Repository-Level Issue Localization
arXiv:2607.15205v1 Announce Type: new Abstract: Real repository issues routinely include visual evidence such as screenshots, error dialogs, rendered UI states, and logs, yet repository-level issue localization is evalua…
BadWAM: When World-Action Models Dream Right but Act Wrong
arXiv:2607.15207v1 Announce Type: new Abstract: World-action models (WAMs) are emerging as a promising foundation for embodied control: rather than predicting actions alone, they learn representations that couple action …
Expanding the Lexicon of Ge'ez Based African Languages: A Comparative Study of Amharic and Tigrinya
arXiv:2607.15209v1 Announce Type: new Abstract: Multilingual pre-trained language models (PLMs) exhibit degraded performance on low-resource, non-Latin-script languages, driven by high out-of-vocabulary (OOV) rates and e…
MAGiSt3R: Multi-Agent Feed-forward 3D Reconstruction from Monocular RGB Videos
arXiv:2607.15211v1 Announce Type: new Abstract: This paper presents MAGiSt3R, a multi-agent 3D reconstruction framework performing reconstruction and camera tracking for monocular RGB videos at almost 10 FPS. MAGiSt3R re…
Symbal: Detecting Systematic Misalignments in Model-Generated Captions
arXiv:2607.15216v1 Announce Type: new Abstract: Multimodal large language models (MLLMs) often introduce errors when generating image captions, resulting in misaligned image-text pairs. Our work focuses on a class of cap…
NeuronSoup: Evolving Asynchronous, Shared-Neuron Temporal Graphs without Backpropagation
arXiv:2607.15217v1 Announce Type: new Abstract: We present NeuronSoup, a neural computation architecture that replaces synchronous layer-by-layer processing with asynchronous, delay-mediated signal propagation through a …
When Words Are Safe But Actions Kill: Probing Physical Danger Beyond Text Safety in Hidden-State Risk Space
arXiv:2607.15218v1 Announce Type: new Abstract: Large language models (LLMs) increasingly serve as high-level planners for embodied agents, where linguistically benign instructions can become unsafe once grounded in the …
Structural-Semantic Reciprocal Learning for Unsupervised Visible-Infrared Person Re-Identification
arXiv:2607.15220v1 Announce Type: new Abstract: Unsupervised visible-infrared person re-identification (USVI-ReID) is challenging due to the large modality gap and the lack of cross-modal identity annotations. Progressiv…
Disintegration Temporal Logic for Probabilistic Hyperproperties
arXiv:2607.15223v1 Announce Type: new Abstract: We introduce Disintegration Temporal Logic (DTL), a new probabilistic temporal logic that can express a wide range of probabilistic hyperproperties, including probabilistic…
Campaign Diagrams: Visualizing the March Through the Phases of a Workload
arXiv:2607.15225v1 Announce Type: new Abstract: We present campaign diagrams, a visualization technique for phase-level analysis of resource utilization and bottlenecks in modern workloads. Existing tools have a trade-of…
Divergent Gaze Patterns in Artistic Viewing: Spatial and Temporal Signatures of Attention Across Autistic Individuals, Artists, and Neurotypical Observers
arXiv:2607.15227v1 Announce Type: new Abstract: How different populations visually explore artworks bears on cognitive science and on accessibility design, yet most eye-tracking work in autism has used social scenes rath…
Data Driven Block Replacement Scheduling
arXiv:2607.15229v1 Announce Type: new Abstract: We develop data-driven algorithms for maintaining $N$ independent identical machines under a \textit{block replacement policy}, in which each machine is replaced upon failu…
CRISP: Constrained Refinement via Iterative Squeezing Process for Robust Medical Image Segmentation under Domain Shift
arXiv:2607.15231v1 Announce Type: new Abstract: Distribution shift in medical imaging remains a central bottleneck for the clinical translation of medical AI. Failure to address it can lead to severe performance degradat…