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Functional profiling of ESKAPE viromes uncovers resistance-limiting phage-host dynamics
17/08/2026 - ESKAPE pathogens drive clinical antibiotic resistance and intractable infections, severely compromising antimicrobial therapies. Bacteriophages are promising alternatives to antibiotics, yet their...
Cooperative Regulation of Membrane Domain Registration by Lipid Headgroup Properties and Cholesterol Dynamics
16/08/2026 - The lateral organization of lipid domains and their coupling across the two leaflets are central to the structure of plasma membranes, yet the molecular determinants of domain registration and...
Ginseng as a Functional Food Intervention for Interstitial Lung Disease: A Review of the Benefits and Molecular Mechanisms
16/08/2026 - From the perspectives of food science and nutrition, this article reviews the regulatory mechanisms through which ginseng and its major components influence ILD‐related pathological processes and...
A Bottom-Up Approach to Fungal Plasma Membrane Model: Lipid Mixture Design and Biophysical-Mechanical Characterization
13/08/2026 - The rising incidence of invasive fungal diseases emphasizes the need for novel therapeutic strategies, including membrane-targeting antifungal agents, which require representative lipid models for...
BreastMammo and DenseMammo: Benchmarks for Mammography Domain Generalization
- Breast density classification is a critical component of breast cancer risk assessment, yet AI models often struggle to generalize across clinical sites due to vendor-specific acquisition styles. In...
HIPNO: Symmetry-Aware Physics-Informed Neural Operators for Noninvasive Hemodynamic Inference
- Continuous hemodynamic monitoring guides treatment decisions in surgery and intensive care. However, gold-standard signals are only measured in severe cases due to risks associated with invasive...
Surgical WAM: A World-Action Model for Data-Efficient Surgical Robot Learning
- Learning reliable surgical manipulation policies is bottlenecked by the scarcity of action-labeled demonstrations: teleoperated surgical robot (e.g., dVRK) trajectories with synchronized kinematics...
DACRI: Decision-Aware Causal Intervention Ranking for Critical Supply Chains
- Detecting or attributing a supply-chain disruption is not the same as selecting the intervention that maximizes recoverable net value. We present CriticalSCM-Bench v1, a controlled synthetic...
Templated or fully Synthetic? Prompt construction as a confound in measuring LLM political stance beyond writing assistance
- Political stance detection in LLMs has long been dominated by closed-ended, multiple-choice political survey questions---originally designed for humans, and thus lacks the realism and nuance of...
Aerial Layouting: Design and Control of a Compliant and Actuated End-Effector for Precise In-flight Marking on Ceilings
- Aerial robots have demonstrated impressive feats of precise control, such as dynamic flight through openings or highly complex choreographies. Despite the accuracy needed for these tasks, there are...
Embodied Multimodal Grounding for Open-Vocabulary Mobile Manipulation via Semantic 3D Gaussian Splatting
- Embodied mobile manipulation requires language, visual observations, three-dimensional scene structure, and action feasibility to be aligned before execution. We study open-vocabulary target...
SkillLens: Visual Skill Cards for Retrieval-Augmented GUI Action Prediction and On-Policy Distillation
- Computer-using agents can perceive rich software interfaces, yet their decisions often lack visual procedural memory: they may recognize individual controls without identifying which familiar...
Mitigating Context Interference for Reliable and Efficient Search Agents
- Recent research empowers Large Language Models (LLMs) as multi-turn search agents to iteratively retrieve and generate outputs until complex tasks are solved. However, the contexts of multi-turn...
FITTER: Vocabulary-Agnostic Cross-Domain Inference on Temporal Knowledge Graphs
- Temporal knowledge graphs are central to many uses of the Semantic Web, but existing completion methods assume the entities, relation names, and timestamps to be reasoned about are already known at...
BREAD: Baseline-Referenced Explanations for Anomaly Diagnosis
- Artificial Intelligence (AI)-based prospective anomaly detection methods are increasingly deployed in high-dimensional and nonlinear settings. Among these approaches, AI-based statistical process...
Multi Interests for Joint Search-Recommendation Modeling
- Search and recommendation are crucial for understanding user preferences. More and more studies are attempting to jointly model search behavior and recommendation behavior, by integrating user active...
CARB: A Characterization-Guided Framework for CNN Inference Cost Prediction and Deployment Screening
- Accurate pre-deployment estimation of CNN inference cost--energy, latency, and peak memory--is increasingly critical as models are deployed on resource-constrained GPU platforms. Existing approaches...
MD-ProTector: Positioning Multiple Data-Driven Prototypes for LLM-Generated Text Detection
- As LLM-generated content becomes more sophisticated, detection systems for distinguishing those texts from human-written text must operate at scale while handling diverse writing styles, domains,...
Geometry-aware neural causal discovery for large-scale spatiotemporal systems
- Causal discovery at large spatiotemporal scale is difficult: variables are physically embedded, candidate interactions grow quadratically with system size, and causal structure changes with system...
DriveVLA-M0: Failure-Aware Memory Augmentation for Autonomous Driving
- Vision-Language-Action (VLA) models have recently emerged as a promising paradigm for end-to-end autonomous driving by enabling unified reasoning across perception, language, and planning. However,...
FlowGRN+: Improving Gene Regulatory Network Inference by Spline Fitting and Manifold Projection in Conditional Flow Matching (Technical Report)
- Gene regulatory networks (GRNs) are fundamental in understanding cellular dynamics and underlying mechanisms during development and disease. Although scRNA-seq technologies have enabled the...