Results 81 to 90 of about 2,197,203 (280)
Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai +3 more
wiley +1 more source
Chinese Grammatical Error Correction: A Survey
Chinese Grammatical Error Correction (CGEC) is a critical task in Natural Language Processing, addressing the growing demand for automated writing assistance in both second-language (L2) and native (L1) Chinese writing. While L2 learners struggle with mastering complex grammatical structures, L1 users also benefit from CGEC in academic, professional ...
Mengyang Qiu +6 more
openaire +3 more sources
Autonomous laboratories can now synthesize materials faster than experts can interpret the resulting diffraction data. A probabilistic framework combines refinement‐fit metrics with large language model‐derived chemical reasoning to rank competing phase interpretations and flag those unsuitable for autonomous use.
Olympia Dartsi +7 more
wiley +1 more source
A “nutritional trap” strategy centered on disrupting bacterial iron homeostasis is proposed. The synthesized Bi‐TP@FU (TBF) can target Helicobacter pylori, interfere with the bacterial iron uptake and utilization processes to disrupt its iron homeostasis, induce bacterial death, and meanwhile preserve the balance of the intestinal flora.
Tianye Fang +13 more
wiley +1 more source
Automatical sampling with heterogeneous corpora for grammatical error correction
Thanks to the strong representation capability of the pre-trained language models, supervised grammatical error correction has achieved promising performance.
Shichang Zhu +3 more
doaj +1 more source
Text correction systems (e.g., spell checkers) have been used to improve the quality of computerized text by detecting and correcting errors. However, the task of performing spelling correction and word normalization (text correction) for Thai social ...
Anuruth Lertpiya +2 more
doaj +1 more source
CA9‐targeted PET imaging could be a noninvasive approach to characterize clear cell renal cell carcinoma and associated tumor biology. PET uptake correlates with tumor CA9 expression and is linked to angiogenic activity, immune remodeling, and metabolic reprogramming.
Kailei Chen +19 more
wiley +1 more source
Evaluation of Really Good Grammatical Error Correction
Although rarely stated, in practice, Grammatical Error Correction (GEC) encompasses various models with distinct objectives, ranging from grammatical error detection to improving fluency. Traditional evaluation methods fail to fully capture the full range of system capabilities and objectives.
Östling, Robert +4 more
openaire +4 more sources
Using parse features for preposition selection and error detection [PDF]
We evaluate the effect of adding parse features to a leading model of preposition usage. Results show a significant improvement in the preposition selection task on native speaker text and a modest increment in precision and recall in an ESL error ...
Foster, Jennifer +2 more
core +2 more sources
CLRe: A Synergistic Dual‐Engine Framework for One‐Step Retrosynthesis Prediction
CLRe uses a contrastive difficulty score to order pretrained seq2seq fine‐tuning for retrosynthesis. Reaction embeddings define the ranking score, and a cumulative easy‐to‐hard schedule expands from the easiest subset to the full training set while earlier examples remain active.
Tianhao Su +5 more
wiley +1 more source

