Health
1301 storiesPublic health and medicine worldwide — sourced from WHO News.
DeGroot Dynamics on Multiplex Networks with Directed and Acyclic Interlayer Connectivities
arXiv:2610.27198v1 Announce Type: cross Abstract: In models of opinion dynamics, researchers typically examine how an individual's opinion on one topic is influenced by the opinions of their neighbors in a network. Howev…
Machine-learned spectral PDE solvers for fluids and plasmas
arXiv:2610.27317v1 Announce Type: cross Abstract: Sparse regression methods for discovering governing partial differential equations (PDEs) from data are sensitive to observation noise and are not constrained to reproduc…
Solar System Surface Technosignatures: Searching for Signs of Artificial Design on Extraterrestrial Terrain
arXiv:2610.28687v1 Announce Type: cross Abstract: Artificial radio emissions have historically been a major focus of technosignature searches. Here, we apply an anthropological lens to expand this scope to surface techno…
Borrowing Strength Across Stores: Transfer Learning for Choice-Based Revenue Management
arXiv:2610.28708v1 Announce Type: cross Abstract: Large retail chains must tailor assortment and pricing decisions to local customer preferences, yet even retailers with extensive sales records often have limited data fo…
A Reverse-Gold Theorem: Positive-Data Identification by Substrate-Bounded Contrastive Learners
arXiv:2610.28747v1 Announce Type: cross Abstract: Gold's theorem shows that no learner can identify an arbitrary language in a superfinite class from positive presentations alone. We prove a positive result of a differen…
Understanding the Inner Workings of a State-Space Foundation Model for Limit Order Books
arXiv:2610.28753v1 Announce Type: cross Abstract: Autoregressive foundation models offer state-of-the-art capabilities to simulate the market by generating the message flow of limit order books (LOBs). Yet, without under…
Depth Separation for Neural Networks under Gaussian Measure
arXiv:2610.28800v1 Announce Type: cross Abstract: We revisit the problem of depth separation for neural networks, as studied by Eldan and Shamir, Daniely, and others. Specifically, we consider the natural setting of $L^2…
DSINC beyond Heston: the 3/2 and other non-affine stochastic-volatility models
arXiv:2610.28847v1 Announce Type: cross Abstract: This paper extends the damped-sinc (DSINC) method for American options beyond the affine Heston class to general one-factor stochastic-volatility models. We show that the…
Self-Supervised Tuning of Low-Fidelity Optimization Models via High-Fidelity Feedback
arXiv:2610.28851v1 Announce Type: cross Abstract: Low-fidelity (LF) optimization models are widely used in large-scale operations because they can be solved efficiently and reliably, but they often exhibit systematic err…
Tropical Cyclone Attributes in Sparse Autoencoder Features of an AI Weather Model
arXiv:2610.28904v1 Announce Type: cross Abstract: Artificial intelligence (AI) weather models now forecast weather events skillfully, but how they represent these events internally remains unknown. Sparse autoencoders (S…
Backtracking Direct, Indirect and Total Effects
arXiv:2610.28910v1 Announce Type: cross Abstract: Natural direct and indirect effects are defined through cross-world interventional counterfactuals. We propose an alternative construction based on backtracking counterfa…
Can Quantum Layers offer Performance and Security Advantages in Vision-Language Models?
arXiv:2610.28964v1 Announce Type: cross Abstract: As quantum computing moves from the noisy intermediate-scale quantum (NISQ) era toward early fault-tolerant quantum computing (EFTQC), quantum-enhanced AI is shifting fro…
Is In-Context Reinforcement Learning A Posterior Sampler? An Empirical Study
arXiv:2610.28977v1 Announce Type: cross Abstract: In-context reinforcement learning (ICRL) exploits the impressive in-context learning ability of large language models to zero-shot generalize to new, unseen tasks at infe…
A Jump-Modified Wasserstein Gradient Flow for Maximum Mean Discrepancy with Energy Kernels
arXiv:2610.29007v1 Announce Type: cross Abstract: We study a jump-modified Wasserstein gradient flow of the squared maximum mean discrepancy generated by the energy kernels $K(z)=-|z|^q$, $0
Neural Vector Field Transformations: Learning the Flow of Autonomous Systems by Conjugation to Explicitly Integrable Reference Flows
arXiv:2610.29039v1 Announce Type: cross Abstract: We represent the flow map of an autonomous ODE $\dot x=f(x)$ as a conjugate $\Phi_t=F_\theta^{-1}\circ\Psi_t\circ F_\theta$ of an explicitly integrable reference flow $\P…
Internal Guidance as a Sampling Method for Tilted Diffusion Models
arXiv:2610.29086v1 Announce Type: cross Abstract: Reward guidance methods sample an exponential tilt of a base density using a diffusion model trained with only samples from the base distribution. Existing methods use wh…
SU(2)-Equivariant Spinor Message Passing for Molecular Magnetism
arXiv:2610.29111v1 Announce Type: cross Abstract: Predicting molecular magnetism often requires electronic-structure calculations with spin-orbit coupling (SOC), which are costly to repeat across many molecules. The unde…
An Eco-Friendly Tourism Trip Planner Driven by Z-Number Uncertainty: Evidence from Baku, Dubai, Abu Dhabi, Tashkent, and Istanbul
arXiv:2610.29120v1 Announce Type: cross Abstract: Deployed tourism trip planners ingest travel times and ratings as exact numbers, although routing services return travel times that vary with the hour of departure and a …
ORSMT: Unleashing the Potential of Satisfiability Modulo Theories for Semantic Verification and Repair in LLM-Based Optimization
arXiv:2610.29145v1 Announce Type: cross Abstract: Large language models increasingly automate optimization modeling from natural language problems, producing written mathematics, solver code and a returned report. Verify…
XingChen-UniFE: A Unified Generative Speech Front-End via Complementary Acoustic-Semantic Modeling
arXiv:2610.29164v1 Announce Type: cross Abstract: This paper presents XingChen-UniFE, a unified large audio language model (LALM) for general speech restoration (GSR) and target speaker extraction (TSE). The proposed mod…