Results 81 to 90 of about 2,690,170 (252)
Zhishi guanli luntan[Purpose/Significance] Leveraging Named Entity Recognition (NER) techniques for the thorough exploration of ancient literary documents not only drives forward the digitization of ancient Chinese texts, including the vital process of Ancient text ...
Meng Jiana, Xu Yingao, Zhao Dandan, Li Fengyi, Zhao Di
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Advanced Science, EarlyView.Commercial OPBI binders is regulated via a facile formic‐acid protonation strategy without disrupting the polymer backbone. Protonation introduces positively charged benzimidazole sites, inducing interchain electrostatic repulsion that loosens chain packing, enlarges intermolecular spacing, and promotes uniform binder dispersion over catalyst surfaces.
Jinzhen Huang +5 more
wiley +1 more source
Advanced Science, EarlyView.By integrating knowledge‐augmented artificial intelligence with an oxygen‐supplemented 3D screening platform, a synergistic interaction between berberine and enzalutamide is identified. The framework integrates compound mechanisms of action with disease‐relevant signaling context to prioritize candidate combinations and generate testable pathway‐based ...
Chih‐Hui Lo +15 more
wiley +1 more source
Complex & Intelligent SystemsNamed Entity Recognition (NER) aims to identify entities with specific meanings and their boundaries in natural language texts. Due to the differences between Chinese and English language families, Chinese NER faces challenges such as ambiguous word ...
Jigui Zhao +6 more
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A Neural Named Entity Recognition and Multi-Type Normalization Tool for Biomedical Text Mining
IEEE Access, 2019 The amount of biomedical literature is vast and growing quickly, and accurate text mining techniques could help researchers to efficiently extract useful information from the literature.
Donghyeon Kim +8 more
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Advanced Science, EarlyView.This study reveals that age‐related LMNB1 deficiency in mesenchymal stem cells epigenetically upregulates SLC7A11, triggering actin disulfidptosis and mitochondrial dysfunction. This cascade impairs bone formation in senile osteoporosis. Furthermore, researchers identified the FDA‐approved drug naldemedine as a targeted SLC7A11 inhibitor to reverse ...
Wenhui Yu +12 more
wiley +1 more source
Advanced Science, EarlyView.This Perspective charts the modeling landscape for soft manipulators, spanning sparse system identification, neural dynamics, physics‐informed models and hybrid intelligence. We examine how physics, data, sensing, adaptation and control can assume complementary roles within this landscape, and provide a framework for selecting modeling approaches ...
Wenbo Hui +4 more
wiley +1 more source
, 2020 Semantic Textual Similarity (also known as Semantic Short-text Similarity) is a research problem that aims to calculate the similarity among text units (phrases, sentences, paragraphs or texts) focusing on the semantic content. The importance of Semantic
Hennig, Sebastian +1 more
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Informed Named Entity Recognition Decoding for Generative Language Models [PDF]
, 2023 Ever-larger language models with ever-increasing capabilities are by now well-established text processing tools. Alas, information extraction tasks such as named entity recognition are still largely unaffected by this progress as they are primarily based
Deußer, Tobias +3 more
core
Advancing Energy Materials by In Situ Atomic Scale Methods
Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss +21 more
wiley +1 more source