Results 191 to 200 of about 408,758 (354)

In Situ High‐Resolution Imaging of Live Treponema pallidum Using Catalyst‐Free Bioorthogonal Strategy

Aggregate, EarlyView.
Schematic illustration of labeling live Treponema pallidum using an activated alkyne‐modified AIE chromophore via catalyst‐free bioorthogonal reaction. ABSTRACT Treponema pallidum (T. pallidum) causes syphilis, a sexually transmitted disease that leads to multi‐organ complications and even death. The lack of technology for tracing live T.
Jialin Huang, Judun Zheng, Xu Chen, Weiqiang Lin, Minghai Zhao, Qiulin Xie, Zeyu Liu, Dong Wang, Ben Zhong Tang, Yuhui Liao   +9 more
wiley   +1 more source

Named Entity Recognition System for the Biomedical Domain [PDF]

Annals of computer science and information systems, 2022
Raghav Sharma, Deependra Singh, Raksha Sharma   +2 more
doaj   +1 more source

MMR-based active machine learning for bio named entity recognition [PDF]

, 2006
Seokhwan Kim, Yu Song, Kyungduk Kim, Jeong-Won Cha, Gary Geunbae Lee   +4 more
openalex   +1 more source

Digital design and optimization of the integrated synthesis and crystallization process using data‐driven approaches

AIChE Journal, EarlyView.
Abstract This study presents a data‐driven modeling and multi‐objective optimization framework for an integrated section of continuous pharmaceutical manufacturing, focusing on flow synthesis and continuous crystallization. To address data scarcity and trade‐offs among product quality, efficiency, and environmental impact, the framework combines ...
Yiming Ma, Wei Li, Jiaxu Liu, Gao Shang, Huaiyu Yang, Junbo Gong, Zoltan K. Nagy, Brahim Benyahia   +7 more
wiley   +1 more source

MULTITHREAD IN NAMED ENTITY RECOGNITION [PDF]

International Journal of Intelligent Computing and Information Sciences, 2016
M. Rashed, Z. Rabea, M. Abu Elsoud
openaire   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

A Hidden Markov Model Based Named Entity Recognition System: Bengali and Hindi as Case Studies [PDF]

, 2007
Asif Ekbal, Sivaji Bandyopadhyay
openalex   +1 more source

Named Entity Recognition Models for Machine Learning Interatomic Potentials: A User‐Centric Approach to Knowledge Extraction from Scientific Literature

Advanced Intelligent Discovery, EarlyView.
Named entity recognition pipeline for knowledge extraction from scientific literature. Machine learning interatomic potential (MLIP) is an emerging technique that has helped achieve molecular dynamics simulations with unprecedented balance between efficiency and accuracy. Recently, the body of MLIP literature has been growing rapidly, which propels the
Bowen Zheng, Grace X. Gu
wiley   +1 more source

Tiling Robotics: A New Paradigm of Shape‐Morphing Reconfigurable Robots

Advanced Intelligent Systems, EarlyView.
Tiling robotics is a novel paradigm of shape‐morphing reconfigurable robots, defining them as polyform‐inspired machines capable of transforming between at least two polymorphic shapes. Various reconfiguration‐enabling and locomotion mechanisms of tiling robots are comparatively analyzed, with the electromechanical developments, along with a proposed ...
S. M. Bhagya P. Samarakoon, M. A. Viraj J. Muthugala, Mohan Rajesh Elara   +2 more
wiley   +1 more source

OSIRISv1.2: A named entity recognition system for sequence variants of genes in biomedical literature [PDF]

, 2008
Laura I. Furlong, Holger Dach, Martin Hofmann‐Apitius, Ferrán Sanz   +3 more
openalex   +1 more source