Results 101 to 110 of about 221,770 (298)

Functional Hydrogel for Modulating Lipid Droplets and Neuroinflammation in Head Injury

Advanced Functional Materials, EarlyView.
After TBI, elevated cholesterol levels in activated microglia lead to the accumulation of cholesterol esters in lipid droplets, exacerbating neuroinflammation. A β‐cyclodextrin‐conjugated GelMA (βCD‐GelMA) hydrogel is developed to promotes cholesterol efflux and reduces LDL influx, thereby alleviating intracellular cholesterol and lipid droplet buildup.
Feixiang Chen, Yvonne Shen, Yutong Shao, Tenghuan Ge, Haowen Qiao, Shangzhou Xia, Yafei Qu, Yuanpu Chiu, Ying Qin, Zhen Zhao   +9 more
wiley   +1 more source

MTIL2017: Machine Translation Using Recurrent Neural Network on Statistical Machine Translation

Journal of Intelligent Systems, 2019
Machine translation (MT) is the automatic translation of the source language to its target language by a computer system. In the current paper, we propose an approach of using recurrent neural networks (RNNs) over traditional statistical MT (SMT).
Mahata Sainik Kumar, Das Dipankar, Bandyopadhyay Sivaji   +2 more
doaj   +1 more source

Printing Nacre‐Mimetic MXene‐Based E‐Textile Devices for Sensing and Breathing‐Pattern Recognition Using Machine Learning

Advanced Functional Materials, EarlyView.
This study presents a Ti3C2Tx MXene/WPU nacre‐mimetic nanomaterial as a printable ink for direct‐write printing onto textiles‐based sensors. The resulting wearable device demonstrates high sensitivity, biocompatibility, and mechanical strength. Furthermore, NFC‐enabled humidity sensor produces time‐series data, which informs a machine learning ...
Lulu Xu, Wenqing Chen, Qian Li, Rohit Gupta, Biswajoy Bagchi, Laurence B. Lovat, Manish K. Tiwari   +6 more
wiley   +1 more source

Chinese-English machine translation model based on transfer learning and self-attention

Journal of Applied Science and Engineering
With the continuous development of machine learning and neural networks, neural machine translation (NMT) has been widely used due to its strong translation ability.
Shu Ma
doaj   +1 more source

Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

Advanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu, Junyuan Lu, Jian Hui, Ziyuan Rao, Yang Ren, Hong Wang   +5 more
wiley   +1 more source

Neural Name Translation Improves Neural Machine Translation

, 2016
In order to control computational complexity, neural machine translation (NMT) systems convert all rare words outside the vocabulary into a single unk symbol. Previous solution (Luong et al., 2015) resorts to use multiple numbered unks to learn the correspondence between source and target rare words. However, testing words unseen in the training corpus
Li, Xiaoqing, Zhang, Jiajun, Zong, Chengqing   +2 more
openaire   +2 more sources

Neural machine translation with constraints [PDF]

SCIENTIA SINICA Informationis, 2018
Neural machine translation (NMT), powered by deep learning, is an emerging machine translation paradigm that has been advancing rapidly in recent years. It has become mainstream technology in both academia and industry of machine translation. This paper provides an overview of our research work on NMT.
Deyi Xiong, Junhui Li, Xing Wang, Biao Zhang   +3 more
openaire   +2 more sources

Biomaterial Strategies for Targeted Intracellular Delivery to Phagocytes

Advanced Functional Materials, EarlyView.
Phagocytes are essential to a functional immune system, and their behavior defines disease outcomes. Engineered particles offer a strategic opportunity to target phagocytes, harnessing inflammatory modulation in disease. By tuning features like size, shape, and surface, these systems can modulate immune responses and improve targeted treatment for a ...
Kaitlyn E. Woodworth, Neal I. Callaghan, Locke Davenport Huyer   +2 more
wiley   +1 more source

Recycling of Thermoplastics with Machine Learning: A Review

Advanced Functional Materials, EarlyView.
This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque, Florian Stephan, Annalena Pongratz, Christian Brütting, Katharina Krause, Holger Ruckdäschel   +5 more
wiley   +1 more source

Neural Machine Translation System for English to Indian Language Translation Using MTIL Parallel Corpus

Journal of Intelligent Systems, 2019
Introduction of deep neural networks to the machine translation research ameliorated conventional machine translation systems in multiple ways, specifically in terms of translation quality.
Premjith B., Kumar M. Anand, Soman K.P.
doaj   +1 more source