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Coix Seed Attenuates Acute Lung Injury via NLRP3 Signaling Pathway: Efficacy, Active Components, and Mechanisms

06/09/2026 - From component identification to target validation: Coix seed extract exerts a protective effect against acute lung injury (ALI) by synergistically inhibiting inflammatory cytokines and...

Nonviral delivery of chemically modified tRNA rescues nonsense mutations in cystic fibrosis

27/08/2026

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...

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...

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...

Fixed-Threshold Peeling in Sublinear MPC: Round-Approximation Tradeoffs and Applications

- A number of fundamental graph problems admit simple algorithms based on iterative peeling: repeatedly remove all vertices whose current degree is below a fixed threshold. This paradigm underlies...

Effect of Mobola Plum (Parinari curatellifolia) Flour Incorporation on Physicochemical, Nutritional, and Antioxidant Properties of Cornstarch‐Based Composite Flours

11/08/2026 - Mobola plum fruit flour addition to corn starch increases the physicochemical properties of the corn starch. It reduced the protein content of the corn starch after addition. Mobola plum fruit flour...

Ethical Framework for Responsible Foundational Models in Medical Imaging

- The emergence of foundational models represents a paradigm shift in medical imaging, offering extraordinary capabilities in disease detection, diagnosis, and treatment planning. These large-scale...

Multi-kernel spectral clustering: Entrywise eigenvector perturbation bounds and exact recovery

- Kernel spectral clustering with a single bandwidth can be inadequate for data exhibiting multiple characteristic pairwise-distance scales, a problem particularly prevalent in the high-dimensional...

FlowGRN: Scalable and Dropout-Robust Gene Regulatory Network Inference via Flow Matching-Based Trajectory Reconstruction (Technical Report)

- Inferring gene regulatory networks (GRNs) from single-cell RNA sequencing (scRNA-seq) data offers insights into cellular behavior, but is complicated by the lack of temporal information and the...

Bidirectional Context Self-Distillation for Reinforcement Learning of Skill-Based LLM Agents

- External natural-language skills provide large language model (LLM) agents with reusable and editable guidance for solving complex tasks. Yet their effectiveness depends not only on skill quality,...

Rethink Before You Execute: Adaptive Execution for World Action Models

- World Action Models (WAMs) jointly predict future actions and the evolution of the environment. At each inference, a WAM generates a chunk of actions and the robot executes a fixed prefix before...

DREAM Technical Report

- Industrial recommender systems commonly use cascaded retrieval, ranking, and re-ranking pipelines. Although efficient, these pipelines fragment information and objectives across modules, rely on...

ControlRadio: Prompt-Driven Controllable Diffusion for Cross-Modal Radio Map Generation

- Radio maps describe how wireless signals propagate across space and are essential for wireless communication, sensing, and network planning. However, constructing accurate radio maps traditionally...