Results 161 to 170 of about 312,491 (292)
Comparing Eye-Tracking and Verbal Reports in L2 Reading Process Research: Three Qualitative Studies. [PDF]
Yang C, Hu G, Que K, Fan N.
europepmc +1 more source
Abstract Background Robinow syndrome is a rare developmental syndrome caused by variants in genes in Wnt signaling pathways. We previously showed that expression of patient variants in Dishevelled 1 (DVL1) in Drosophila and chicken models disrupts the balance of canonical and non‐canonical Wnt signaling.
Gamze Akarsu +4 more
wiley +1 more source
Exploring the potential of gamified reading: the effects of duolingo on L2 reading, self-efficacy, and learner experiences in a Chinese university EFL context. [PDF]
Yang W, Ying Z.
europepmc +1 more source
Inherited metabolic epilepsies–established diseases, new approaches
Abstract Inherited metabolic epilepsies (IMEs) represent the inherited metabolic disorders (IMDs) in which epilepsy is a prevailing component, often determining other neurodevelopmental outcomes associated with the disorder. The different metabolic pathways affected by individual IMEs are the basis of their rarity and heterogeneity.
Itay Tokatly Latzer, Phillip L. Pearl
wiley +1 more source
Effects of Adjunct Questions on L2 Reading Comprehension with Texts of Different Types. [PDF]
Sun Y, Zhou W, Tang S.
europepmc +1 more source
Abstract Spatial memory, the aspect of memory involving encoding and retrieval of information regarding one's environment and spatial orientation, is a complex biological function incorporating multiple neuronal networks. Hippocampus‐dependent spatial memory is not innate and emerges during development in both humans and rodents.
Gregory L. Holmes
wiley +1 more source
Abstract Objective This study aims to investigate the causal relationship between cathepsins and epilepsy, using Mendelian randomization (MR) and mediation analysis. Methods Publicly accessible summary statistics on epilepsy were obtained from FinnGen and the International League Against Epilepsy Consortium.
Huaiyu Sun +7 more
wiley +1 more source
AI‐based localization of the epileptogenic zone using intracranial EEG
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida +5 more
wiley +1 more source
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan +4 more
wiley +1 more source
Advances in Double‐Stranded DNA Targeting Technologies
Double‐stranded DNA (dsDNA) plays a crucial role in genetic information storage and disease management, but its inherent stability limits access to internal bases. To overcome this challenge, various high‐specificity molecular targeting technologies have been developed to destabilize the DNA structure.
Zuhao Shen +8 more
wiley +1 more source

