Results 71 to 80 of about 1,754,801 (280)

Chronobiology of Cancer: How Aging Fuels Oncogenesis at the Molecular Level

Aging and Cancer, EarlyView.
This graphical abstract illustrates the key biological pathways linking aging with cancer development and progression. In the upper left, cumulative exposure to ultraviolet radiation, toxins, and reactive oxygen species (ROS) causes DNA damage and genomic instability, whereas age‐related decline in repair mechanisms, such as ATM/ATR, BER, and NER ...
Anu Singh, Aroonima Misra, Sufian Zaheer
wiley   +1 more source

Self‐Regulated Learning Meets AI: Reinterpreting Self‐Regulation, Co‐Regulation, and Socially Shared Regulation in Human–AI Interaction

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
wiley   +1 more source

Learners’ preferences towards Corrective feedback in writing assignments in tertiary education

ExELL (Explorations in English Language and Linguistics), 2015
For several decades, there has been a heated debate about the value of providing corrective feedback in writing assignments in English as a foreign language (EFL) classes.
Horbacauskiene Jolita, Kasperaviciene Ramune   +1 more
doaj   +1 more source

Digital Cognitive Testing in Mitochondrial Disease: Validity and Challenges for Clinical Trial Use

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Primary mitochondrial disease is a group of genetic disorders caused by pathogenic variants in nuclear or mitochondrial DNA, often resulting in progressive neurodegeneration and cognitive decline. Current management is primarily supportive, though recent research offers hope for disease‐modifying treatments in the future.
Oksana Pogoryelova, Jan Smeitink, Herma Renkema, Rosabeth White, Frankie Barton, Rachel Lyon, Jane Newman, Aye Moe, Yi Shiau Ng, Grainne Siobhan Gorman   +9 more
wiley   +1 more source

Direct and Indirect Written Corrective Feedback in the Context of Genre-based Instruction on Job Application Letter Writing

Journal of Writing Research, 2013
Despite the fact that a considerable proportion of today’s writing programs operate according to the principles of genre-based instruction, research has not adequately dealt with the teaching of various genres (e.g., job application letters).
Mostafa Mirzaii, Reza Bozorg Aliabadi
doaj  

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

Advanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara, Vincent Rat, Quentin Dubreuil, Patrice Valorge, Simon Goutier, Alain Denoirjean, Olivier Messe, Céline Ruelle, Jean‐Philippe Poli   +8 more
wiley   +1 more source

The Effect of Direct and Indirect Corrective Feedback on Students’ Writing Quality [PDF]

Advances in Social Science, Education and Humanities Research, 2022
Yazid Basthomi, Siti Mafulah
openaire   +1 more source

Corrective Feedback and Learner Uptake during a Small Group Activity in an ELI Context [PDF]

, 2007
Despite a lot of empirical supports for the benefits of meaning negotiation with peers, little has been reported in its descriptive nature. Thus, the present study investigates corrective feedback and learner uptake during a small group discussion ...
Choi, Yun Deok
core  

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

Advanced Engineering Materials, EarlyView.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani, Mohamed‐Ali Belloum, Laurence Boudet, Valentin Fouillard, Edwin Friedmann, Guillaume Lacharme, Ali Mahmoud, Jean‐Philippe Poli   +7 more
wiley   +1 more source

The utility of written corrective feedback in L2 learning: analysis of an experience with Erasmus incoming students

Formare, 2019
Leaving aside the problem of positive reinforcement, the only problem of the choice and use of corrective feedback is a subject of critical importance for L2 (second language) learning in a constructivist/interactionist perspective.
Silvia Gasparini
doaj   +1 more source