Health
988 storiesPublic health and medicine worldwide — sourced from WHO News.
LLM-Driven Approach to Modeling Tool Interoperability in Automotive Domain
arXiv:2607.14659v1 Announce Type: new Abstract: Interoperability between heterogeneous modeling tools remains a significant challenge in Model-Driven Engineering (MDE), particularly in the automotive domain where multipl…
VIABench: A Comprehensive Video Benchmark Collected from Blind Individuals for Visual Impairment Assistance
arXiv:2607.14660v1 Announce Type: new Abstract: Visually impaired individuals (VIIs) encounter significant daily challenges due to limited access to visual information. Although Multimodal Large Language Models (MLLMs) h…
SmartRAG: Native Graph-Based RAG for Mobile Device
arXiv:2607.14661v1 Announce Type: new Abstract: Deploying large language models (LLMs) as personal assistants on mobile devices demands privacy, low latency, and offline availability, yet the computational cost of giant …
A new strategy for physics-informed neural networks based on hierarchical collocation point refinement
arXiv:2607.14665v1 Announce Type: new Abstract: Physics-informed neural networks (PINNs) offer a flexible framework for solving partial differential equations (PDEs), but training can become computationally expensive whe…
Identification Codes and Post-Shannon Communication: Theory, Architectures, and Emerging Applications
arXiv:2607.14666v1 Announce Type: new Abstract: Identification (ID) coding, introduced by Ahlswede and Dueck, extends Shannon's classical communication paradigm by replacing message reconstruction with hypothesis testing…
Scalable Training of Continuous-Time Spiking Neural Networks with Differentiable Spike-Time Discretization
arXiv:2607.14672v1 Announce Type: new Abstract: Continuous-time spiking neural networks (SNNs) provide an event-driven framework for temporal computation, computational neuroscience, and neuromorphic hardware. However, t…
Project Kaleidoscope: Contextual, Human-Aligned Evaluation for Real-World AI Applications
arXiv:2607.14673v1 Announce Type: new Abstract: Evaluations (Evals) are a deployment bottleneck for real-world AI applications: public benchmarks rarely match a team's users, context, or policies, and human review is oft…
An Intelligent-Cloud Edge Multimodal Interaction System for Robots
arXiv:2607.14675v1 Announce Type: new Abstract: Robust human-robot interaction in complex environments requires accurate gesture perception, semantic scene understanding, and reliable task planning under limited onboard …
Statistics of the Compression Ratio of a Variable-to-Variable Code: Exact Moments and Asymptotic Behavior
arXiv:2607.14676v1 Announce Type: new Abstract: A variable-to-variable (V2V) length code parses a source sequence into phrases of variable length and maps each phrase to a binary codeword of, generally, a different rando…
Operator-Split Bayesian Learning for Elliptic PDEs with Unequal Interior and Boundary Data
arXiv:2607.14680v1 Announce Type: new Abstract: We propose an operator-split Bayesian learning framework for second-order uniformly elliptic Dirichlet problems with unequal numbers of interior and boundary observations. …
ReBind: Multi-Reference Video Editing via Structured Instructions with Explicit Reference Relationships
arXiv:2607.14681v1 Announce Type: new Abstract: Recent diffusion-based video generation models have made significant progress in multi-reference image-conditioned video editing. However, existing methods still struggle t…
Stop Thinking, Start Looking: Efficient Post-Training for Multimodal Document Question Answering via Reasoning-Free Alignment
arXiv:2607.14682v1 Announce Type: new Abstract: Efficient multimodal document question answering with explicit visual grounding, locating the precise document region that supports each answer remains an open challenge. C…
InCarEmo: A Multimodal Dataset for In-Cabin Emotion Recognition and Driver State Monitoring
arXiv:2607.14683v1 Announce Type: new Abstract: Understanding driver emotion and state is critical for the next generation of intelligent in-cabin systems that ensure safety and enhance human-vehicle interaction. However…
GlobalForge: Towards Robust AI-Generated Image Detection
arXiv:2607.14684v1 Announce Type: new Abstract: AI-generated image (AIGI) detectors achieve strong accuracy on clean benchmarks, but their performance drops sharply after images are propagated through real-world channels…
Class Weighting versus Amount Conditioning in Credit-Card Fraud Detection: A Dollar-Metric Study with a Temporal Explanation Audit
arXiv:2607.14686v1 Announce Type: new Abstract: Credit-card fraud losses are monetary, but papers often judge models with transaction-level scores. We ask whether transaction amount should shape training weights or be us…
MIND-CAVs: Multi-Intelligence Negotiation and Decision System for CAVs based on Intent-Driven Autonomy
arXiv:2607.14688v1 Announce Type: new Abstract: Modern autonomous vehicles largely operate as isolated agents: they rely on on-board perception and decision modules and broadcast Basic Safety Messages (BSMs) that expose …
A low-rank hierarchical framework for the non-Markovian stochastic Schr\"odinger equation with convergence analysis
arXiv:2607.14689v1 Announce Type: new Abstract: We propose and analyze a novel numerical framework for the non-Markovian stochastic Schr\"odinger equation (NMSSE) based on a low-rank approximation of the bath correlation…
Lattice-based extended withdrawability
arXiv:2607.14690v1 Announce Type: new Abstract: We extend the extended withdrawable signatures of Liu, Susilo and Baek to lattice-based constructions built on the Fiat-Shamir with aborts paradigm. Departing from an earli…
Reflex: Real-Time VLA Control through Streaming Inference
arXiv:2607.14695v1 Announce Type: new Abstract: Flow matching Vision-Language-Action (VLA) models promise precise continuous control, but their iterative denoising nature introduces fundamental incompatibilities with rea…
Lights, Camera, Malfunction: When Illumination Robustness Leaves VLA Models Blind to Color
arXiv:2607.14698v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models have emerged as a powerful paradigm for general-purpose robot manipulation; however, their transition to real-world environments reveals…