Retrieval-Augmented Generation (RAG) enhances language model generation by
retrieving relevant information from external knowledge bases. However,
conventional RAG methods face the issue of missing multimodal information.
Multimodal RAG methods add... read more
Insect-computer hybrid robots offer strong potential for navigating complex terrains. This study identified the intersegmental membrane between the pronotum and mesothorax of the Madagascar hissing cockroach as an effective site for electrical stimul... read more
Audio-Driven Talking Face Generation aims at generating realistic videos of
talking faces, focusing on accurate audio-lip synchronization without
deteriorating any identity-related visual details. Recent state-of-the-art
methods are based on inpain... read more
BMC medical informatics and decision making
Jul 28, 2025
BACKGROUND: Hyperuricemia (HUA) as a global public health challenge, although its overall epidemiological characteristics have been widely reported, its age-specific risk pattern remains controversial. This study aims to reveal the risk factors of HU... read more
Traditional ship detection methods primarily rely on single-modal approaches,
such as visible or infrared images, which limit their application in complex
scenarios involving varying lighting conditions and heavy fog. To address this
issue, we expl... read more
Neural Architecture Search (NAS) is challenged by the trade-off between
search space exploration and efficiency, especially for complex tasks. While
recent LLM-based NAS methods have shown promise, they often suffer from static
search strategies an... read more
Journal of agricultural and food chemistry
Jul 28, 2025
Microbial volatile organic compounds (MVOCs) serve as early, noninvasive indicators of food spoilage and microbial contamination. This review critically assesses current methods for MVOC detection, including gas chromatography-mass spectrometry (GC-M... read more
Direct compression (DC) remains a popular manufacturing technology for producing solid dosage forms. However, the formulation optimisation is a laborious process, costly and time-consuming. The aim of this study was to determine whether machine learn... read more
Portable fluorescence microscopes coupled with smartphones offer accessible and cost-effective point-of-care diagnostic solutions, but often produce noisy and blurry images with poor contrast. Here, we introduce HIST-DIP (HIStogram Thresholding and D... read more
HealthBench is an open-source, large-scale benchmark consisting of 5,000 multi-turn clinical conversations evaluated against 48,562 criteria developed by clinicians. Recognized as a significant advancement in assessing realistic artificial intelligen... read more
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