Results 221 to 230 of about 19,032 (297)

Correction: Cross-lingual hate speech detection using domain-specific word embeddings. [PDF]

PLoS One
Monnar AA, Perez Rojas J, Poblete B.
europepmc   +1 more source

Semantic projection recovers rich human knowledge of multiple object features from word embeddings. [PDF]

Nat Hum Behav, 2022
Grand G, Blank IA, Pereira F, Fedorenko E.   +3 more
europepmc   +1 more source

Microscale Mapping of Fiber Strain and Damage in Composite Wrinkled Laminates Using Computed Tomography Assisted Wide‐Angle X‐Ray Scattering

Advanced Science, EarlyView.
This study combines full‐field tomography with diffraction mapping to quantify radial (ε002$\varepsilon _{002}$) and axial (ε100$\varepsilon _{100}$) lattice strain in wrinkled carbon‐fiber specimens for the first time. Radial microstrain gradients (−14.5 µεMPa$\varepsilon \mathrm{MPa}$−1) are found to signal damage‐prone zones ahead of failure, which ...
Hoang Minh Luong, James Trevarthen, Igor Dolbnya, Wadwan Singhapong, Nicholas Pilato, Richard Butler, Jiraphant Srisuriyachot, Alexander J. G. Lunt   +7 more
wiley   +1 more source

Predicting Emerging Themes in Rapidly Expanding COVID-19 Literature With Unsupervised Word Embeddings and Machine Learning: Evidence-Based Study. [PDF]

J Med Internet Res, 2022
Pal R, Chopra H, Awasthi R, Bandhey H, Nagori A, Sethi T.   +5 more
europepmc   +1 more source

A Soft, Flexible Implant for Wireless Photothermal–Pyroelectric Neurostimulation

Advanced Science, EarlyView.
A replication strategy is used to enlarge the exposed surface area of barium titanate within flexible films with embedded carbon nanotubes, enabling efficient photothermal‐pyroelectric stimulation. Polar crystalline nanosheets show superior performance in guiding neural progenitor cells toward neuronal differentiation.
Jiang Wu, Minmin Mao, Beltzane Garcia Cirera, Hao Ye, Xiangzhong Chen, Josep Puigmartí‐Luis, Ni Qin, Salvador Pané   +7 more
wiley   +1 more source

Using deep learning and word embeddings for predicting human agreeableness behavior. [PDF]

Sci Rep
Alsini R, Naz A, Khan HU, Bukhari A, Daud A, Ramzan M.   +5 more
europepmc   +1 more source

Reactions to Science Communication: Social Network Topic Using Word Embeddings and Semantic Knowledge

, 2023
de Lima BC, Baracho RMA, Mandl T, Porto PB.   +3 more
europepmc   +1 more source

Domain specific word embeddings for natural language processing in radiology. [PDF]

J Biomed Inform, 2021
Chen TL, Emerling M, Chaudhari GR, Chillakuru YR, Seo Y, Vu TH, Sohn JH.   +6 more
europepmc   +1 more source

Full‐Body AI Agent: A Perspective on Multi‐Scale Collaborative AI for Systemic Biology and Precision Medicine

Advanced Science, EarlyView.
We propose the Full‐Body AI Agent, a multi‐scale collaborative framework with 7 biological‐layer agents. It unifies multi‐omics/clinical data via standardized protocols, enabling phenotype‐guided closed‐loop reasoning, quantitative evaluation, and LLM safeguards, with promising applications in tumor metastasis modeling and precision drug development ...
Aoqi Wang, Jiajia Liu, Jianguo Wen, Yangyang Luo, Zhiwei Fan, Liren Yang, Xi Hu, Ruihan Luo, Yankai Yu, Sophia Li, Weiling Zhao, Xiaobo Zhou   +11 more
wiley   +1 more source

KD_MultiSucc: incorporating multi-teacher knowledge distillation and word embeddings for cross-species prediction of protein succinylation sites. [PDF]

Biol Methods Protoc
Tran TX, Nguyen TT, Le NQ, Nguyen VN.
europepmc   +1 more source