Results 61 to 70 of about 7,950 (213)

Key technologies and research progress of medical knowledge graph construction

大数据, 2021
With the continuous iterative updating of Internet technology, the semantic understanding of massive data is becoming more and more important.Knowledge graph is a kind of semantic network that reveals the relationship between entities.Medicine is one of ...
Ling TAN, Haihong E, Zemin KUANG, Meina SONG, Yu LIU, Zhengyu CHEN, Xiaoxuan XIE, Jundi LI, Jiawei FAN, Qingchuan WANG, Xiaoyang KANG   +10 more
doaj  

Closed‐Loop Solid‐State Synthesis Planning for Materials Discovery With Large Language Models

Advanced Materials, EarlyView.
Leveraging literature data, we build a large‐language‐model‐driven workflow that extracts synthesis steps from 4407 papers, retrieves similar precedents, and generates candidate solid‐state synthesis recipes. The system benchmarks against ground‐truth and then operates in a closed loop with experiments to synthesize oxy‐selenide electrolyte materials ...
Dong Won Jeon, Dong Hwi Kim, Taeyang Jeon, Joo Yeong Na, Heegyu Kim, Hyunsouk Cho, Dae Soo Jung, Ju Li, Jin‐Sung Park, Sung Beom Cho   +9 more
wiley   +1 more source

Modular Bibliographical Profiling of Historic Book Reviews

Journal of Open Humanities Data
This paper examines different methods of predicting bibliographical details (e.g. author, title, and publisher) of books under review in a corpus of approximately 1,100 historical book reviews.
Matthew J. Lavin
doaj   +1 more source

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source

Knowledge Base Question Answering With Attentive Pooling for Question Representation

IEEE Access, 2019
This paper presents a neural network model for a knowledge base (KB)-based single-relation question answering (SR-QA). This model is composed of two main modules, i.e., entity linking and relation detection.
Run-Ze Wang, Zhen-Hua Ling, Yu Hu
doaj   +1 more source

HMGCR‐Driven Cholesterol Metabolism Promotes Osteoarthritis Progression by Accelerating Synovial Fibroblast Senescence

Advanced Science, EarlyView.
In the pathological context of osteoarthritis (OA), the phosphorylation of AKT1 at Ser473 enhances its binding to Lys140 of Insig1, which facilitates the formation of AKT1–Insig1 complex. Subsequently, the activation of AKT1 promotes the phosphorylation of Insig1 at Ser189, potentially enhancing the dissociation of Insig1 from sterol regulatory element‑
Xiaoqi Zhang, Siru Zhou, Xi Liu, Wei Xiang, Xiuqin Peng, Yu Tian, Song Li, Hailin Wang, Bo Liao, Shunzheng Fang, Runze Jin, Jinhui Wu, Chuanqing Bai, Wei Zhang, Bo Huang, Bingfei Li, Lifeng Chen, Lin Chen, Bin Zhang, Zhenhong Ni   +19 more
wiley   +1 more source

A Novel IDO1/NE Dual Inhibitor, IMM‐H018 Prevents the Primary and Secondary Sepsis and Ameliorates the Kidney Injury Through Inhibiting the Cytokine Storm and Microthrombosis, and Reversing Immunosuppression

Advanced Science, EarlyView.
IMM‐H018, a dual IDO1/NE inhibitor, demonstrates potent therapeutic efficacy in sepsis by simultaneously targeting excessive inflammation and immune dysfunction. It prevents both primary and secondary sepsis through anti‐inflammatory, immune‐restoring, and renoprotective mechanisms, reducing organ damage, improving immune homeostasis, preserving kidney
Yi Zhou, Xiaodi Zhao, Xiaochen Pan, Zhiling Ma, Huaqing Cui, Hui Wen, Peng Wang, Xiufeng Liao, Kejie Qin, Yuchen Wang, Li Sheng, Sen Zhang   +11 more
wiley   +1 more source

A Pan‐Methylome Framework for Population‐Scale Bacterial Epigenomics

Advanced Science, EarlyView.
A scalable quantitative framework unlocks population‐level comparative epigenomics in bacteria. By transforming site‐level data into standardized traits, this approach reconstructs methylation‐informed phylogenies and defines the core epigenome.
Bin Ma, Huimin Gong, Ran Zhuo, Zaixiao Rao, Yanxi Wan, Mingyang Wang, Zahra Zeinalzadeh, Yuan Gao, Aohan Guan, Xinrun Li, Wanting Chen, Xiliang Wang, Yun Wan, Sihua Zhang, Yuncai Xiao, Qi Huang, Paul R. Langford, Xiangru Wang, Rui Zhou, Rui Luo, Hongbo Zhou, Chengliang Zhu, Hui Jin   +22 more
wiley   +1 more source

SWENER-1800

Digital Humanities in the Nordic and Baltic Countries Publications
Named entity recognition (NER) is the process of automatically identifying persons, places, organisations and other name-like entities in text, in order to perform natural language processing tasks such as automatic extraction of metadata from text ...
Eva Pettersson, Lars Borin, Erik Lenas
doaj   +1 more source

Closing the Empirical Loop: Autonomous AI Agents Conduct End‐to‐end Research With Human Participants

Advanced Science, EarlyView.
A multi‐agent AI system autonomously executes the complete scientific workflow, from hypothesis to manuscript, across three psychological studies involving 288 participants. The system designs experiments, collects real world data, develops analysis pipelines, and writes manuscripts with theoretical rigor comparable to experienced researchers.
Gabrielle Wehr, Reuben Rideaux, Amaya J. Fox, David R. Lightfoot, Jason Tangen, Jason B. Mattingley, Shane E. Ehrhardt   +6 more
wiley   +1 more source