Results 161 to 170 of about 2,031,469 (352)
Twitter is a social media site where people post their personal experiences, opinions, and news. Due to the ubiquitous real-time data availability, many rescue agencies monitor this data regularly to identify disasters, reduce risk, and save lives ...
Sumona Deb, Ashis Kumar Chanda
doaj
Bioxolography, a novel volumetric 3D‐bioprinting technique, enables rapid and high‐resolution fabrication of >1 cm3 engineered living materials. A newly developed three‐component photoinitiator system significantly enhances the photoreactivity of gelatin methacryloyl‐based bioresins, allowing for precise xolographic bioprinting.
Alexis Wolfel+6 more
wiley +1 more source
Manipulating the Assembly and Architecture of Fibrillar Silk
In this study, advanced in situ AFM, PiFM, and Cryo‐EM are leveraged to realize in situ observations of nucleation, growth, and degradation of silk nanofibrils. A clear picture of the assembly and structural evolution of regenerated silk nanofibrils is defined and demonstrates a novel strategy for manipulating their structure and properties, which ...
Chenyang Shi+3 more
wiley +1 more source
Comparative analysis on Facebook post interaction using DNN, ELM and LSTM.
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
Domain Adapted Word Embeddings for Improved Sentiment Classification [PDF]
Generic word embeddings are trained on large-scale generic corpora; Domain Specific (DS) word embeddings are trained only on data from a domain of interest. This paper proposes a method to combine the breadth of generic embeddings with the specificity of domain specific embeddings.
arxiv
Sociolinguistic Properties of Word Embeddings
This is a preprint for a book chapter published in Dehghani, Morteza, and Ryan L. Boyd, eds. Handbook of Language Analysis in Psychology. Guilford Publications, 2022. In this chapter, we describe the burgeoning empirical evidence showing how meanings captured in word embeddings correspond to human meanings.
Arseniev-Koehler, Alina, Foster, Jacob
openaire +3 more sources
This study investigates the plasmonic properties and biosensing capabilities of a nanocomposite incorporating Cu and Ag nanoparticles for detecting anti‐DbpA antibodies associated with Lyme disease. The enhanced LSPR response is explained through FDTD simulations of Cu–Ag near‐field interactions and increased surface roughness.
Sanjay Kumar+10 more
wiley +1 more source
A chitosan‐graft‐gelatin hydrogel, incorporating a pH‐responsive dye, bromothymol blue, as a colorimetric freshness indicator is introduced to monitor the spoilage of chicken breasts. The hydrogel indicates microbial activity, and the production of carbon dioxide due to deteriorating food freshness via a change in pH, and serves as a smart and visual ...
Bahareh Farasati Far+7 more
wiley +1 more source
Compressed models for co-reference resolution: enhancing efficiency with debiased word embeddings. [PDF]
Ioannides G+4 more
europepmc +1 more source
This work presents a novel strategy for nanocomposite fabrication that imparts high shear and elongational forces, overcoming the interlayer van der Waals forces within bulk 2D materials and facilitating their exfoliation in elastomers. Additionally, the high shear forces promote effective nanoparticle dispersion and in situ bond formation, leading to ...
Ashiqur Rahman+5 more
wiley +1 more source