Results 61 to 70 of about 36,775 (295)

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

Advanced Robotics Research, EarlyView.
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder, Jelizaveta Konstantinova, Graham Deacon, Kaspar Althoefer   +3 more
wiley   +1 more source

Bridging text and topology: empowering large language models through graph retrieval for constraint-aware reasoning in campus digital twins

International Journal of Digital Earth
Large language models (LLMs) have demonstrated remarkable capabilities in understanding and generating human language from heterogeneous data sources.
Wenyu Zhang, Suphanut Jamonnak, Weishan Bai, Xinyue Ye   +3 more
doaj   +1 more source

Agnuside Stabilizes the Complex I Assembly Factor NDUFAF6 to Reinforce Mitochondrial Efficiency and Thermogenic Responsiveness

Advanced Science, EarlyView.
ABSTRACT Brown and beige adipocytes dissipate energy as heat, yet effective strategies to enhance their mitochondrial efficiency remain limited. Here, we identify Agnuside (AGN) as a selective stabilizer of the complex I assembly factor NDUFAF6. AGN directly binds cytosolic NDUFAF6, suppresses its ubiquitination, prolongs its half‐life, and facilitates
Qingwen Zhao, Li Xie, Qianzhuo Wang, Shuying Dai, Bei Li, Yingjuan Zhang, Zhe Sun, Yue Gao   +7 more
wiley   +1 more source

Research on risk decision-making generation method for water conservancy project based on multimodal knowledge graph and large language model.

PLoS ONE
Traditional knowledge graphs of water conservancy project risks have supported risk decision-making. However, they are constrained by limited data modalities and low accuracy in information extraction.
Libo Yang, Yuan Li, Junhua Tan, Libo Mao
doaj   +1 more source

DMAR: Dynamic Multi-Anchor Retrieval with Structure-Aware Query Reformulation for Knowledge-Augmented Generation

Applied Sciences
Retrieval-Augmented Generation (RAG) has become an important paradigm for knowledge-intensive natural language processing, as it enables Large Language Models (LLMs) to access external evidence beyond their parametric memory.
Zhou Lei, Yanqi Xu, Shengbo Chen
doaj   +1 more source

Multi‐Enzyme Mimetic Molybdenum Nitride Nanozymes Reshape Subgingival Microenvironment for Synergistic Periodontitis Therapy via ROS Regulation and Microbiome Remodeling

Advanced Science, EarlyView.
ABSTRACT Periodontitis, a chronic inflammatory disease initiated and sustained by plaque microorganisms and host immune response, remains an intractable oral disease and a leading cause of tooth loss worldwide. Traditional mechanical debridement and adjunctive antibiotic or antiseptic therapy often shows limited efficacy due to the complex anatomical ...
Weiyu Zhang, Zhongwei Yang, Yunfan Zhang, Longwei Wang, Xiaoyu Zhang, Jiahui Mao, Yizhi Dai, Yifan Yuan, Mingge Wang, Xin Yang, Xin Yu, Jing Liu, Chunying Chen   +12 more
wiley   +1 more source

Adaptive Multimodal Fusion Architecture for Heterogeneous Embedding Spaces in Retrieval-Augmented Generation Systems

IEEE Access
Retrieval-augmented generation systems integrate external information to mitigate hallucinations in large language models, yet existing multimodal retrieval-augmented generation implementations struggle with heterogeneous embedding spaces from diverse ...
Timothy Dillan, Sani Muhamad Isa, Abba Suganda Girsang, Derwin Suhartono   +3 more
doaj   +1 more source

Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

, 2023
Large language models are powerful text processors and reasoners, but are still subject to limitations including outdated knowledge and hallucinations, which necessitates connecting them to the world. Retrieval-augmented large language models have raised
Huang, Minlie, Shao, Zhihong, Shen, Yelong, Chen, Weizhu, Gong, Yeyun, Duan, Nan   +5 more
core  

SMAD4 Palmitoylation Drives a Metabolic‐Transcriptional Circuit to Promote Tumorigenesis and Confers Radiosensitivity in Pancreatic Cancer

Advanced Science, EarlyView.
This study identifies palmitoylation as a novel regulatory modification of SMAD4, mediated by ZDHHC22/APT2. It activates fatty acid synthesis, creating a self‐reinforcing SMAD4–FASN–palmitate feedback loop that drives pancreatic cancer growth and enhances radiotherapy sensitivity.
Yang Wang, Shan Zhang, Junping Bai, Xiaobing Li, Yi Han, Min Ji, Chongyi Jiang, Xiaobei Ge, Tianyu Yu, Yongying Hou, Jun Zhang, Wangting Li, Yiran Song, Jiaying Cai, Yingqun Zhou, Liwei An, Feng Wang   +16 more
wiley   +1 more source

MGPRAG: Enhancing Medical Large Language Models via Precision Retrieval-Augmented Generation

IEEE Access
Large language models(LLMs) have demonstrated strong performance in general tasks, but remain insufficiently trusted in complex clinical question answering (CQA). This is largely due to concerns about the accuracy of the generated content.
Yanwen Shen, Dahong Xu, Xi Li, Lei Fu, Hong Liu   +4 more
doaj   +1 more source