Results 141 to 150 of about 379,251 (377)
The SciAgents AI model drives hypothesis generation by harnessing multi‐agent graph reasoning, extracting insights from knowledge graphs constructed from scientific papers. Each agent plays a specific role: the Ontologist defines concepts, the Scientists draft and refine proposals, and the Critic reviews.
Alireza Ghafarollahi, Markus J. Buehler
wiley +1 more source
Cybersecurity Named Entity Recognition Using Multi-Modal Ensemble Learning
Cybersecurity named entity recognition is an important part of threat information extraction from large-scale unstructured text collection in many cybersecurity applications.
Feng Yi, Bo Jiang, Lu Wang, Jianjun Wu
doaj +1 more source
Mono‐ and bimetallic isoreticular MOF‐74 analogs with different ratios of Mg2+ and Ni2+ and linkers of different sizes and functionalities are synthesized and loaded with water. With the help of IR spectroscopy, semiquantitative conclusions are drawn regarding the prevalence of differently ordered water species in dependence on the confinement and ...
Tabea C. V. Haug+4 more
wiley +1 more source
A Residual BiLSTM Model for Named Entity Recognition
As one of the most powerful neural networks, Long Short-Term Memory (LSTM) is widely used in natural language processing (NLP) tasks. Meanwhile, the BiLSTM-CRF model is one of the most popular models for named entity recognition (NER), and many state-of ...
Gang Yang, Hongzhe Xu
doaj +1 more source
New Perspectives on Semiconducting Conjugated Oligomers for Neuromodulation in Hydra vulgaris
Semiconducting organic compounds, thiophene‐based, modify the rhythmic electrical activity of the cnidarian Hydra vulgaris acting on specific neuronal circuits. The ETE‐S trimer also forms electronically conducting wires in the living tissues of the animal.
Giuseppina Tommasini+7 more
wiley +1 more source
Named 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
doaj +1 more source
Semi-supervised Bootstrapping approach for Named Entity Recognition [PDF]
The aim of Named Entity Recognition (NER) is to identify references of named entities in unstructured documents, and to classify them into pre-defined semantic categories. NER often aids from added background knowledge in the form of gazetteers. However using such a collection does not deal with name variants and cannot resolve ambiguities associated ...
arxiv
Progress in Surface Plasmon and Other Resonance Biosensors for Biomedical Applications
This is the shortened version: Recent advancements in surface plasmon resonance and other optical resonance biosensors for biomedical applications are presented. Advanced sensing strategies are examined for the detection of diverse analytes, integration of nanomaterials and machine learning, and emerging nonplasmonic modes like guided mode resonance ...
Faten Bashar Kamal Eddin+8 more
wiley +1 more source
Malay Named Entity Recognition: A Review
The Named Entity Recognition (NER) field had been thriving for more than 15 years. NER could be defined as a process that recognizes named entities, such as the names of persons, organizations, locations, times, and quantities.
Farid Morsidi+4 more
doaj
This study utilized Ss‐STARR‐seq to construct a genome‐wide silencer map of mouse cells and elucidated the fundamental characteristics of these silencers. These silencers exist in a cell‐specific manner and exhibit unique epigenetic modifications. Through functional experiments, we also discovered that these silencers can regulate gene expression and ...
Xiusheng Zhu+12 more
wiley +1 more source