Results 81 to 90 of about 1,570 (259)

Synergistic Effect of Gradient Conductivity and Gradient Microstructures Enabled Ultrasensitive and Ultrabroad Linear Flexible Tactile Sensors

open access: yesAdvanced Science, EarlyView.
A design of double gradient effect is proposed to resolve the contradictory optimization on sensitivity and linearity of piezoresistive tactile sensors. The ultrawide linearity is realized by the sequential trigger of pressure‐induced gradient conductivity‐enabled linear current owing to the gradient microstructures.
Yao Fang   +13 more
wiley   +1 more source

Causal‐Guided Ultra‐Long‐Term Time Series Forecasting Via Anticipated Covariates

open access: yesAdvanced Science, EarlyView.
Often treated as unknown, information from the future remains underutilized.We demonstrate that in a coupled dynamical system, providing the future state of the effect enables accurate forecasting of the cause for a long timesteps. A time series forecasting paradigm that introduces anticipated covariates to represent such known future states is ...
Jintong Zhao   +4 more
wiley   +1 more source

Production écrite en langue étrangère, feedback correctif et révision assistée: une étude de cas

open access: yesBabylonia
Corrective feedback, which consists in informing the student that he has made a linguistic error, is a teaching practice that is often used by second language teachers.
Kevin Noiroux, Germain Simons
doaj  

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

open access: yesAdvanced Science, EarlyView.
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

Comparing peer, ChatGPT, and teacher corrective feedback in EFL writing: Students' perceptions and preferences

open access: yesTechnology in Language Teaching & Learning
The effectiveness of Written Corrective Feedback (WCF) provision in English as a Foreign Language (EFL) classrooms for enhancing students’ writing has been well-established.
Orit Zeevy-Solovey
doaj   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

open access: yesAdvanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang   +4 more
wiley   +1 more source

Examining the beliefs of non-native English-speaking teachers and EFL students about WCF in enhancing writing skills

open access: yesActa Psychologica
While there has been extensive research on the effectiveness of teacher-written feedback, there is a limited number of studies that have explored the perspectives of feedback practitioners.
Haowei Chen   +3 more
doaj   +1 more source

How do Chilean Pre-Service Teachers Correct Errors in Writing?

open access: yesRevista Brasileira de Linguística Aplicada, 2018
Most research on error correction has dealt with feedback strategies used in the classroom and the effect of these strategies on students’ performance.
Angie Quintanilla Espinoza   +2 more
doaj   +1 more source

Iranian EFL Learners’ Reaction to Teacher’s Written Corrective Feedback

open access: yesInternational Journal of Applied Linguistics and English Literature, 2017
Providing different types of corrective feedback on learners’ writing is a common practice in writing classes. Applied linguists have also invested huge attempt in investigating the impact that coorective feedback might have on developing different language skills among EFL/ESL writers. Despite the breadth of empirical research on the issue, literature
openaire   +2 more sources

Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents

open access: yesAdvanced Intelligent Discovery, EarlyView.
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer   +3 more
wiley   +1 more source

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