Results 131 to 140 of about 96,400 (324)
Advanced Functional Materials, EarlyView.An original method is presented for producing artificial spider silk fibers with magnetic and magnetomechanical responsiveness, which consists in coating them with a nanometer‐thick layer of FeCo alloy by sputtering deposition. The challenge of combining organic materials and inorganic magnetic nanostructures is addressed, thus taking a step forward ...
Filippo Lanaro +5 more
wiley +1 more source
Towards semantic-rich word embeddings [PDF]
Annals of computer science and information systems, 2019 Grzegorz Beringer +4 more
doaj +1 more source
Decellularized Extracellular Matrix (dECM) in Tendon Regeneration: A Comprehensive Review
Advanced Healthcare Materials, EarlyView.Decellularized Extracellular Matrix (dECM) offers a promising solution by replicating the native tendon microenvironment and promoting regeneration. This review highlights advances in the decellularization methods, as well as their integration with emerging technologies and translational progress in tendon tissue engineering.
Kumaresan Sakthiabirami +4 more
wiley +1 more source
, 2019 This work lists and describes the main recent strategies for building fixed-length, dense and distributed representations for words, based on the distributional hypothesis. These representations are now commonly called word embeddings and, in addition to
Almeida, Felipe, Xexéo, Geraldo
core
How Do Source-side Monolingual Word Embeddings Impact Neural Machine Translation? [PDF]
, 2018 Shuoyang Ding, Kevin Duh
openalex +1 more source
Advanced Healthcare Materials, EarlyView.This research shows the development of hydrogels with Diels‐Alder click chemistry for engineering cartilage‐like tissue. The hydrogels support cartilage spheroids which could be cultured for at least 28 days. Furthermore, the spheroids showed a tendency to fuse together into a more consistent construct, and produced important components needed for ...
Sanne M. van de Looij +8 more
wiley +1 more source
Deterministic Compression of Word Embeddings
IEEE AccessWord embeddings are an indispensable technology in the field of artificial intelligence, particularly when working with natural language processing models.
Yuki Nakamura +3 more
doaj +1 more source
Comparative analysis on Facebook post interaction using DNN, ELM and LSTM.
PLoS ONE, 2019 This study presents a novel research approach to predict user interaction for social media post using machine learning algorithms. The posts are converted to vector form using word2vec and doc2vec model.
Sabih Ahmad Khan, Hsien-Tsung Chang
doaj +1 more source
Plasmonic Enhancement of Fluorescence and Protein Dynamics in Living Mammalian Cells
Advanced Materials, EarlyView.This study demonstrates plasmonic enhancement of the function of fluorescent voltage sensing proteins (genetically encoded voltage indicators, (GEVIs), QuasAr6) in live mammalian cells. Coupling to plasmonic nanoparticles does not just increase fluorescence, but influences the protein photocycle, creating a hybrid sensor with its response speed to ...
Marco Locarno +16 more
wiley +1 more source
The Visualization of Change in Word Meaning over Time using Temporal Word Embeddings [PDF]
, 2014 Chiraag Lala, Shay B. Cohen
openalex +1 more source