Health
1353 storiesPublic health and medicine worldwide — sourced from WHO News.
Exploring Nonlinear Body Oscillations for Natural Quadruped Gaits
arXiv:2609.00539v1 Announce Type: new Abstract: Animals' body morphology shapes the gait patterns they can perform, where mechanical resonance reduces the need for active control. By tuning posture and muscle stiffness, …
Optimal Uniform Pricing for Multi-Interval Dispatch without Make-Whole Uplifts
arXiv:2609.00541v1 Announce Type: new Abstract: In a network with ramp-limited generators and inaccurate net-demand forecasts, practical rolling-window dispatch can drive locational marginal prices (LMPs) below generator…
Feedback-Assisted Trust Propagation over Document Relation Graphs for Retrieval-Augmented Generation
arXiv:2609.00543v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) systems rely on external corpora that may contain outdated, contradictory, noisy, or unreliable documents, introducing reliability risk…
GenONet: A Generative operator Network for High-Resolution Precipitation Nowcasting
arXiv:2609.00544v1 Announce Type: new Abstract: High-resolution precipitation nowcasting is critical for reducing the impacts of severe weather but remains difficult because of rapid storm evolution. Deep learning models…
Runtime-Independent Persistent Agents: Preserving Identity, Memory, and Code Across Models, Harnesses, and Servers
arXiv:2609.00546v1 Announce Type: new Abstract: Agent systems are commonly described by the model and harness that currently produce their behavior. That boundary is useful for one execution but underspecifies a long-liv…
A Bayesian Adaptive Spectral Surrogate Model for Efficient Probabilistic Optimal Power Flow Evaluation
arXiv:2609.00547v1 Announce Type: new Abstract: This paper presents an adaptive stochastic spectral embedding (ASSE) method to solve the probabilistic AC optimal power flow (AC-OPF), a critical aspect of power system ope…
Time-Decayed Vector Search in the Rhythm of TANGO: Jointly Modeling Semantic Similarity and Temporal Freshness
arXiv:2609.00548v1 Announce Type: new Abstract: Vector search typically measures relevance through semantic similarity under a fixed scoring function. However, in a growing range of applications, relevance may evolve ove…
Skill Following: Evaluating Actual Skill Use in Retrieval-Enabled LLM Agents
arXiv:2609.00549v1 Announce Type: new Abstract: Large Language Model (LLM) agents increasingly rely on external skills, yet standard evaluations obscure whether retrieving these skills actually helps. Aggregate metrics o…
Same Semantics, Different Outcome: On the Modality Robustness of Multimodal LLMs under Knowledge Conflict
arXiv:2609.00550v1 Announce Type: new Abstract: Multimodal large language models (MLLMs) are increasingly provided with contextual evidence in heterogeneous forms: as a text passage, as a rendered image of the same passa…
EM^2Mem: Event-Centric Multimodal Memory for Large Language Models
arXiv:2609.00551v1 Announce Type: new Abstract: Multimodal memory offers a scalable interface for long-video question answering, but existing methods often retrieve captions, frames, transcripts, summaries, or graph fact…
Manifold-Aware General Coded Computing for Straggler-Resilient Distributed Computing
arXiv:2609.00552v1 Announce Type: new Abstract: Existing coded-computing designs do not explicitly exploit the intrinsic structure of the input data. In communication systems, statistical structure and redundancy are oft…
Spectral Bounds for Kernel Quadrature
arXiv:2609.00553v1 Announce Type: new Abstract: A bottleneck in the theory of kernel methods in machine learning is the storage requirement. To ameliorate this, a standard trick is to replace the kernel with an explicit …
Potential-Guided Particle Steering for Negation-Constrained Dexterous Grasping
arXiv:2609.00555v1 Announce Type: new Abstract: Language-driven dexterous grasp models, such as DextER, perform well when instructions specify where to grasp, but we find they fail systematically when an instruction also…
Comparison of Algebraic Block Multi-Coloring and Leiden Methods for Parallel Preconditioning in the ICCG Method
arXiv:2609.00561v1 Announce Type: new Abstract: In the application of incomplete Cholesky preconditioning to the incomplete Cholesky-conjugate gradient (ICCG) method, forward and backward substitutions exhibit sequential…
BiMTokenizer: Preserving Semantic-Acoustic Balance in Low-Bitrate Speech Tokenization via Bidirectional State-Space Modeling
arXiv:2609.00562v1 Announce Type: new Abstract: Speech codecs serve as bridges between continuous speech signals and large language models, yet face an inherent conflict between acoustic fidelity and semantic preservatio…
Aligned but Flattened: Analyzing the Trade-off between Cultural Alignment and Diversity in LLMs
arXiv:2609.00565v1 Announce Type: new Abstract: Cultural fine-tuning has become the de facto paradigm for building culture-aware large language models (LLMs), yet existing optimization exclusively for alignment scores pr…
EEG-VID: Task-Guided Latent Predictive Pretraining for EEG Decoding and Assistive Target Selection
arXiv:2609.00566v2 Announce Type: new Abstract: We propose EEG-VID, a task-guided latent predictive pretraining framework for EEG decoding under session and subject shifts. EEG-VID predicts future latent EEG states from …
WiseSpec: Requirements-Driven Agents for Code Generation
arXiv:2609.00568v1 Announce Type: new Abstract: Code generation aims to automatically generate source code from task requirements and has attracted significant attention with the rapid advancement of large language model…
Graph Coloring with Color Preferences
arXiv:2609.00569v1 Announce Type: new Abstract: We study graph coloring with color preferences, in which each vertex ranks the available colors. In addition to assigning different colors to adjacent vertices, we require …
VoiceLongMemEval: Do Assistants Remember How You Sounded?
arXiv:2609.00570v2 Announce Type: new Abstract: With the growing scale of multi-agent architectures and large language models, deployed AI assistants are increasingly tasked with reasoning over long, continuous, multi-se…