Results 71 to 80 of about 1,570 (259)

Improving Students’ L2 Writing through Teacher’s Written Corrective Feedback

open access: yesAL LUGHAWIYAAT, 2020
This qualitative study aims to improve students’ writing skill through teacher’s written corrective feedback based on 12 students’ writing at one of vocational schools in Kendari. It is expected that the students’ writing skill can be improved, and the students can participate actively in the English teaching and learning process.
Feren, Tinsi Ayu   +2 more
openaire   +2 more sources

Personalized Network‐Guided Neuromodulation Enhances Human Working Memory

open access: yesAdvanced Science, EarlyView.
A personalized neuromodulation framework combining individualized functional brain network targeting with real‐time neural decoding is introduced. Using concurrent TMS–fMRI, participant‐specific stimulation targets and optimal frequencies are identified. Only optimal‐frequency stimulation improves working memory across sessions.
Ahsan Khan   +13 more
wiley   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu   +8 more
wiley   +1 more source

Students’ preferences and teachers’ beliefs towards written corrective feedback

open access: yesELT Forum: Journal of English Language Teaching, 2020
Writing skill has been considered as a crucial skill that EFL students need to master. One of the techniques usually employed by teachers to help students improve their writing is via Written Corrective Feedback (WCF). Although many studies have been conducted to test its effectiveness, fewer studies have examined students’ and teachers’ preferences ...
openaire   +2 more sources

Targeting ANGPTL3 and IL‐33/ST2 Ameliorates Diabetic Kidney Disease by Reducing Lipotoxicity, Alleviating Inflammation and Inhibiting Fibrosis

open access: yesAdvanced Science, EarlyView.
Dual targeting of ANGPTL3 and IL‐33/ST2 attenuates diabetic kidney disease by reprogramming lipid–inflammatory crosstalk. This strategy reduces renal lipotoxicity, suppresses inflammatory activation, and limits fibrotic remodeling, thereby preserving kidney structure and function and highlighting a mechanism‐guided therapeutic approach for metabolic ...
Zhuojin Li   +8 more
wiley   +1 more source

Learning Corrected Target Forms: Students’ Corrective Feedback through Teacher’s Written Corrective Feedback in Iranian EFL Context

open access: yesTheory and Practice in Language Studies, 2014
As a result of Truscott's (1996) claim that written corrective feedback (WCF) should be abandoned because it is both ineffective and harmful, different opinions about the value of WCF have been voiced. The aim of this article was to investigate (1) the possible effect of WCF on accurate use of quantifiers over a 2-month period; (2) the possible ...
Fatemeh Esfandiar   +2 more
openaire   +1 more source

How Advanced Artificial Intelligence Technologies Shape Drug–Drug and Drug–Target Interaction Modeling

open access: yesAdvanced Science, EarlyView.
This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley   +1 more source

De Novo Design of Membrane‐Targeting Antimicrobial Peptides Against Gram‐Negative Bacteria Using a Generative Artificial Intelligence Framework

open access: yesAdvanced Science, EarlyView.
Antimicrobial resistance caused by Gram‐negative bacteria remains difficult to overcome due to the protective outer membrane. To address this challenge, a multi‐condition constrained generative AI framework, GenMTAMP is proposed for de novo membrane‐targeting antimicrobial peptide design by integrating physicochemical and spatial structure descriptors.
Jingxiao Yu   +5 more
wiley   +1 more source

Stiffness‐Activated Stellate Cells Drive Pancreatic Cancer Liver Colonization via GMFG‐TNS4 Signaling

open access: yesAdvanced Science, EarlyView.
Fibrotic liver stiffness activates hepatic stellate cells through Piezo1‐dependent calcium influx and ER stress, promoting EV‐associated GMFG release. Delivered GMFG engages TNS4 in pancreatic cancer cells, triggering FAK/AKT signaling, adhesion, and fatty acid synthesis.
Biwen Zhu   +11 more
wiley   +1 more source

Investigating teachers’ written corrective feedback practices in a Saudi EFL context

open access: yesAustralian Review of Applied Linguistics, 2014
In recent years there have been a growing number of studies on written corrective feedback (WCF), particularly in terms of the efficacy of different types of WCF. However, few of these studies have investigated what shapes teachers’ WCF practices and how they align with students’ preferences.
Abdulaziz Alshahrani, Neomy Storch
openaire   +1 more source

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