Health
988 storiesPublic health and medicine worldwide — sourced from WHO News.
A Correlation-Gap Bound for Nonlinear Gaussian PCA
arXiv:2607.15035v1 Announce Type: new Abstract: Principal component analysis (PCA) is optimal for the linear reconstruction of Gaussian data, a foundational property underlying its central role in algorithms and signal p…
Learning Agile Navigation in Crowded Environments for Quadruped Robots
arXiv:2607.15036v1 Announce Type: new Abstract: Navigating dynamic and crowded environments presents significant challenges for quadruped robots due to severe sensor occlusion and unpredictable human motion. Existing app…
Video = World + Event Stream
arXiv:2607.15038v1 Announce Type: new Abstract: We present Wan-Streamer v0.3, which reframes our native-streaming interaction model under a single organizing view: a video is a world plus an event stream. The world is th…
Weakly-Supervised RGB-D Salient Object Detection via SAM-driven Pseudo Annotation and State Space Interaction-based Diffusion
arXiv:2607.15041v1 Announce Type: new Abstract: Weakly-supervised RGB-D Salient Object Detection (SOD) is explored to reduce the heavy burden of pixel-level annotations. But scribble annotations lack the structure and de…
Parameter-efficient Prompt Tuning of Vision Foundation Model With Adaptive Focal Loss for Interpretable MCI Screening
arXiv:2607.15047v1 Announce Type: new Abstract: Mild Cognitive Impairment is a critical early stage of cognitive decline that frequently precedes Alzheimer's disease, yet its automated detection from neuropsychological d…
RoGS: Adaptive Meshgrid Gaussian for Large-Scale Road Surface Mapping
arXiv:2607.15048v1 Announce Type: new Abstract: Road surface mapping plays a crucial role in autonomous driving, supporting high-definition map generation, lane-level perception, and automatic road annotation. Recent mes…
Neural operators solve inverse problems for constitutive model discovery
arXiv:2607.15049v1 Announce Type: new Abstract: Characterizing the mechanical response of materials traditionally requires solving optimization problems in which model parameters are calibrated or trained to minimize the…
SCITUS: A Multi-Jurisdictional Framework for Adapting NIST AI RMF to the Canadian Regulatory Context
arXiv:2607.15051v1 Announce Type: new Abstract: Canadian organizations deploying artificial intelligence systems face a fragmented regulatory landscape spanning federal requirements (the Treasury Board Directive on Autom…
NFSA: Non-Forward Secure Aggregation with One Server via Two Layer Secret Sharing
arXiv:2607.15052v1 Announce Type: new Abstract: Federated Learning (FL) enables collaborative model training while preserving privacy by keeping data local. However, the risk of sensitive data leakage through model updat…
ANet Patu-1: The Value of Connection in the Agent Network
arXiv:2607.15053v1 Announce Type: new Abstract: The Internet taught us that the value of a network depends on \emph{how} its nodes connect: broadcast stars scale as $V\!\propto\!N$ (Sarnoff), fully-connected meshes as $N…
Beyond Single Expert: Harmonizing Diverse Visual Priors in MLLMs for Spatial Understanding
arXiv:2607.15054v1 Announce Type: new Abstract: Multimodal Large Language Models (MLLMs) have demonstrated substantial promise in spatial understanding. Existing works typically incorporate prior knowledge extracted from…
SUFLECA: Scaling Up Feature Learning for CAD-to-image Alignment
arXiv:2607.15058v1 Announce Type: new Abstract: CAD-to-image alignment aims to estimate an object's 9D pose (rotation, translation, and anisotropic scale) from a single RGB image, enabling applications in robotics and au…
Female participation in science in the past 125 years: An analysis of the Matilda effect over time
arXiv:2607.15059v1 Announce Type: new Abstract: The Matilda effect describes the systematic under-recognition of women's scientific contributions. We investigated its historical evolution by analyzing over 220 million pu…
An Adaptive and Physics-Preserving Multiscale Method for Two-Phase Flow Simulations in High-Contrast Heterogeneous Porous Media
arXiv:2607.15063v1 Announce Type: new Abstract: In this paper, we propose an adaptive physics-preserving multiscale method for incompressible and immiscible two-phase flow in high-contrast porous media. The method couple…
DriftWorld: Fast World Modeling through Drifting
arXiv:2607.15065v1 Announce Type: new Abstract: Predictive world models enable robots to plan by imagining the outcomes of their actions, but their value for control hinges on generating many rollouts quickly. This creat…
Kernel weighted importance sampling for off-policy evaluation in contextual bandits
arXiv:2607.15067v1 Announce Type: new Abstract: This article presents a novel estimator for performing off-policy evaluation using only offline data for contextual bandits. The proposed estimator, Kernel-WIS is demonstra…
Pattern-Guided Design Space Exploration for FPGA Accelerator Design
arXiv:2607.15068v1 Announce Type: new Abstract: High-level synthesis (HLS) raises the abstraction level of FPGA accelerator design from hardware description languages to C/C++, but high-quality results still depend on sc…
An Introduction to Sparse Identification of Nonlinear Dynamics for Engineering Applications
arXiv:2607.15077v1 Announce Type: new Abstract: Many engineering problems involve phenomena whose governing equations are poorly characterized or only partially known. Surrogate modeling techniques such as neural network…
BrainPilot: Automating Brain Discovery with Agentic Research
arXiv:2607.15079v1 Announce Type: new Abstract: Understanding the brain increasingly depends on integrating evidence across scales, modalities, and disciplines. Addressing a single research question therefore requires a …
Evaluating covariate balance for long time horizon Markov decision processes
arXiv:2607.15080v1 Announce Type: new Abstract: This article explores the application of covariate balance diagnostics for detecting the presence of hidden confounding/model miss-specification in studies applying offline…