Managing Competency‐Based Resistance in Video‐Mediated L2 Peer Feedback Sessions
TESOL Quarterly, EarlyView.Abstract Though there is growing empirical evidence on managing advice resistance as an institutional work of higher status party with superior epistemic knowledge domain (e.g., trainer) across diverse settings (e.g., supervision meetings), there is still a lack of research on how second language (L2) learners handle peer resistance in real time once ...
Kübra Ekşi
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Maximizing the Economic, Environmental, and Social Impact of the Metaverse
Thunderbird International Business Review, EarlyView.ABSTRACT The metaverse is a transformative digital ecosystem with the potential to redefine economic, environmental, and social systems. This qualitative study examines how the metaverse and its enabling technologies—such as AR/VR, blockchain, and AI—might evolve to influence sustainability. Drawing on semi‐structured interviews with global experts and
Alessandro Lanteri +2 more
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Content analysis of TikTok videos about tick prevention methods for dogs and cats
Veterinary Record, EarlyView.Abstract Background Social media is a major source of pet health information. On platforms such as TikTok, algorithm‐driven recommendations may expose users to health‐related content even without active searching. This study described tick prevention videos on TikTok.
Heidi Jim +3 more
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Effect of Social Media on Child Obesity: Application of Structural Equation Modeling with the Taguchi Method. [PDF]
Int J Environ Res Public Health, 2018 Khajeheian D +4 more
europepmc +1 more source
Enhancing generalized spectral clustering with embedding Laplacian graph regularization
CAAI Transactions on Intelligence Technology, EarlyView.Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang +5 more
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Mapping Executive Function Performance Based on Resting-State EEG in Healthy Individuals: A Systematic and Mechanistic Review. [PDF]
J Clin MedChmiel J, Kurpas D.
europepmc +1 more source
Boosted unsupervised feature selection for tumor gene expression profiles
CAAI Transactions on Intelligence Technology, EarlyView.Abstract In an unsupervised scenario, it is challenging but essential to eliminate noise and redundant features for tumour gene expression profiles. However, the current unsupervised feature selection methods treat all samples equally, which tend to learn discriminative features from simple samples.
Yifan Shi +5 more
wiley +1 more source
Potential identification of pediatric asthma patients within pediatric research database using low rank matrix decomposition. [PDF]
J Clin Bioinforma, 2013 Viangteeravat T.
europepmc +1 more source
Progressive Colour Equalisation and Detail Refinement for Underwater Image Enhancement
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Underwater image enhancement remains a critical challenge in computational vision due to complex distortions caused by wavelength‐dependent light absorption and scattering. This paper introduces CEDFNet, a novel two‐stage framework that leverages advanced computational intelligence techniques for robust and high‐fidelity underwater image ...
Songbai Liu, Jiacheng Huang
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